Intelligent terminal for realizing risk detection based on swan gap system

Abstract

The invention relates to the technical field of risk detection, and discloses an intelligent terminal for realizing risk detection based on a swan gap system, and the terminal comprises a physiological monitoring module, a high-reflection evaluation module, a safety perimeter module and an alarm module. According to the application, the physiological monitoring module is used for generating corresponding physiological data through data preprocessing and multi-cycle segmentation and recombination, then the physiological data is compared with a dynamically updated physiological threshold value to generate physiological early warning, and the high-reflectivity evaluation module is used for performing high-reflectivity evaluation through similarity analysis in combination with altitude data and historical high-reflectivity records and generating an alarm. The security perimeter module is used for integrating individual positions and overall distribution to evaluate position risks to generate early warning or alarm, and the alarm module is used for integrating various information and pushing the alarm according to priority, so that the defects of the traditional technology in the aspects of data integration analysis, high anti-evaluation scientificity, position evaluation comprehensiveness, alarm information processing and the like are overcome; and the personnel safety monitoring level in a complex working environment is improved.

Description

Technical Field

[0001] The present application relates to the field of risk detection technology, and specifically to an intelligent terminal for implementing risk detection based on the Hongmeng system. Background Art

[0002] In many fields involving safety monitoring of personnel operations, such as construction in high altitude areas and field exploration operations, it is crucial to ensure the health and safety of operators. The inventors found the following problems when studying traditional risk detection technologies:

[0003] 1. Most traditional equipment can only simply collect basic physiological indicators and lack the ability to deeply integrate and analyze data. For example, for body temperature and heart rate data, it is impossible to effectively segment and reorganize multiple cycles based on the individual and overall conditions of the operators, and it is impossible to form a data set that fully reflects the short-term and long-term physiological conditions, making it difficult to accurately set dynamic physiological thresholds and generate accurate warnings.

[0004] 2. They rely too much on empirical judgment or simple analysis of the correlation between altitude and physiological indicators, and fail to make full use of a large amount of historical data to explore the inherent laws of altitude sickness. This leads to a lack of scientificity and accuracy in altitude sickness assessment, and fails to effectively prevent the hazards of altitude sickness in advance.

[0005] 3. The safety perimeter function set by traditional technology is single, which simply determines whether the individual position has crossed the boundary, without comprehensively considering the overall distribution of operators. Once multiple people approach the dangerous area at the same time, it is impossible to carry out comprehensive risk warning and alarm in time.

[0006] 4. The traditional alarm mechanism only issues alarms mechanically, without effectively integrating and prioritizing the alarm information. It cannot convey the information to relevant personnel in a clear and understandable manner, which can easily lead to information misunderstanding and processing delays.

[0007] 5. Extensive record keeping cannot establish detailed and organized monitoring records for individuals and the whole, which is not conducive to the subsequent comprehensive review and in-depth analysis of the health and safety status of the operators.

[0008] The inventors also found that due to the system incompatibility between the monitoring equipment and the monitoring platform, the monitoring data could not be effectively and timely transmitted, further restricting the improvement of the quality of risk detection.

[0009] In summary, a new technical solution for risk detection is urgently needed to meet the needs of accurate, efficient and comprehensive monitoring of personnel safety in complex working environments. Summary of the invention

[0010] The purpose of this application is to provide an intelligent terminal for risk detection based on the Hongmeng system to solve the technical problems raised in the above background technology.

[0011] To achieve the above-mentioned purpose, the present application discloses the following technical solutions: a smart terminal for implementing risk detection based on the Hongmeng system, the smart terminal is arranged in a smart mobile device equipped with the Hongmeng system, and the smart mobile terminal is communicatively connected with a smart operation and maintenance platform equipped with the Hongmeng system;

[0012] The intelligent terminal at least includes a physiological monitoring module, a high-reaction assessment module, a security perimeter module and an alarm module; the intelligent operation and maintenance platform at least includes a ledger module; wherein the physiological monitoring module, the high-reaction assessment module and the security perimeter module are all communicatively connected to the alarm module, the physiological monitoring module, the high-reaction assessment module and the security perimeter module are all communicatively connected to the ledger module, the alarm module is communicatively connected to the ledger module, and the physiological monitoring module is communicatively connected to the high-reaction assessment module;

[0013] The physiological monitoring module is configured to collect the physiological indicators of the operator in real time using the intelligent mobile device, and generate corresponding physiological data and corresponding physiological warnings;

[0014] The high-sensitivity reaction assessment module is configured to perform a high-sensitivity reaction assessment on the operator based on the physiological data and generate a corresponding high-sensitivity reaction alarm;

[0015] The safety perimeter module is configured to perform a position assessment based on the position data of the operator and generate a corresponding position warning or position alarm;

[0016] The alarm module is configured to make a corresponding alarm based on any one or more of the physiological warning, the high-altitude warning, the position warning and the location warning;

[0017] The ledger module is configured to generate a corresponding ledger based on the operation of the physiological monitoring module, the high-reaction assessment module, the security perimeter module and the alarm module.

[0018] Preferably, the physiological indicators include at least the operator's body temperature and heart rate.

[0019] Preferably, the process of generating the physiological data includes:

[0020] Preprocessing the collected physiological indicators to obtain corresponding body temperature data and heart rate data;

[0021] Based on a preset short-term monitoring period, the body temperature data is divided and / or reorganized into an independent short-term body temperature data set and an overall short-term body temperature data set; wherein the independent short-term body temperature data set corresponds to an individual operator and is used to characterize the independent short-term body temperature of the operator, and the overall short-term body temperature data set corresponds to the entire operator and is used to characterize the overall short-term body temperature of all operators;

[0022] Based on the short-term monitoring period, the heart rate data is segmented and / or reorganized into an independent short-term heart rate data set and an overall short-term heart rate data set; wherein the independent short-term heart rate data set corresponds to an individual operator and is used to characterize the independent short-term heart rate situation of the operator, and the overall short-term heart rate data set corresponds to the entire operator and is used to characterize the overall short-term heart rate situation of all operators;

[0023] Based on a preset long-term monitoring period, the body temperature data is segmented and / or reorganized into an independent long-term body temperature data set and an overall long-term body temperature data set; wherein the independent long-term body temperature data set corresponds to an individual operator and is used to characterize the independent long-term body temperature of the operator, and the overall long-term body temperature data set corresponds to the entire operator and is used to characterize the overall long-term body temperature of all operators;

[0024] Based on the long-term monitoring period, the heart rate data is segmented and / or reorganized into an independent long-term heart rate data set and an overall long-term heart rate data set; wherein the independent long-term heart rate data set corresponds to an individual operator and is used to characterize the independent long-term heart rate condition of the operator, and the overall long-term heart rate data set corresponds to the entire operator and is used to characterize the overall long-term heart rate condition of all operators;

[0025] The independent short-term body temperature dataset, the overall short-term body temperature dataset, the independent short-term heart rate dataset, the overall short-term heart rate dataset, the independent long-term body temperature dataset, the overall long-term body temperature dataset, the independent long-term heart rate dataset and the overall long-term heart rate dataset are packaged and defined as the physiological data output.

[0026] Preferably, the process of generating the physiological warning includes:

[0027] The physiological data is compared with the corresponding preset physiological thresholds in real time, and when the physiological data does not meet the physiological thresholds, a corresponding physiological warning is generated; wherein the physiological thresholds include an independent short-term body temperature threshold, an overall short-term body temperature threshold, an independent short-term heart rate threshold, an overall short-term heart rate threshold, an independent long-term body temperature threshold, an overall long-term body temperature threshold, an independent long-term heart rate threshold and an overall long-term heart rate threshold, and the physiological thresholds are regularly updated based on the ledger of the ledger module.

[0028] Preferably, the high-reaction assessment is specifically:

[0029] Acquire altitude data corresponding to the physiological data, and use a preset altitude sickness assessment model to determine the possibility and severity of altitude sickness of the operator; wherein the altitude sickness assessment model is specifically:

[0030] The ledger generated by the ledger model is used to obtain the historical altitude sickness records of the operating personnel, and the historical body temperature, historical heart rate, historical altitude and historical altitude sickness conditions corresponding to the altitude sickness records are analyzed. The real-time physiological data and real-time altitude data are analyzed for similarity with the corresponding historical altitude sickness records, and the historical altitude sickness conditions in the historical altitude sickness records that meet the similarity threshold are output as the result of the altitude sickness evaluation.

[0031] Preferably, the generation process of the high-altitude warning includes:

[0032] The historical high-reaction situation obtained by the high-reaction assessment is obtained, and corresponding independent high-reaction alarms and overall high-reaction alarms are generated based on the historical high-reaction situation; wherein the independent high-reaction alarm is used to provide independent high-reaction prompts to individual operators, and the overall high-reaction alarm is used to provide overall high-reaction prompts to operators in the entire area.

[0033] Preferably, the position evaluation is specifically as follows:

[0034] A safety perimeter is set in the work area, and the location information of the workers is obtained using smart mobile devices. The individual locations of the workers are compared with the range of the full perimeter. At the same time, the overall distribution of workers in the work area is counted, and independent location assessments and overall location assessments are performed to determine whether the location is in a safe and controllable state.

[0035] Preferably, the process of generating the location warning and the location alarm includes:

[0036] Based on the independent position assessment, when the individual position of the operator is within the controllable range of the safety perimeter but close to the boundary, a position warning is generated; when the individual position approaches or exceeds the uncontrollable area, a position alarm is generated;

[0037] Based on the overall location evaluation, when the number of location warnings exceeds a location warning threshold, a location alarm is generated.

[0038] Preferably, the operation of the alarm module is specifically as follows:

[0039] Receive any one or more of the physiological warning, the altitude warning, the location warning and the location alarm information, and use natural language technology to integrate the corresponding detailed content, which at least includes the warning type, the information of the operating personnel involved, the time and place of occurrence, and push the alarm information to relevant personnel or systems based on the preset alarm priority and alarm method.

[0040] Preferably, the operation of the ledger module is as follows:

[0041] The operating data of the physiological monitoring module, the altitude sickness assessment module, the safety perimeter module and the alarm module are recorded, and independent monitoring ledgers and overall monitoring ledgers are established for individual workers and the whole worker respectively; wherein, the independent monitoring ledger records the changes in physiological indicator data, altitude sickness assessment results, position movement trajectory and corresponding early warning alarm information of each worker, and the overall monitoring ledger counts the summary of various data of all workers, the overall altitude sickness incidence rate, the distribution of workers in different areas and the overall early warning alarm frequency.

[0042] Beneficial effect: The intelligent terminal for risk detection based on the Hongmeng system of the present application realizes comprehensive and accurate risk detection of operating personnel by utilizing the intelligent terminal and intelligent operation and maintenance platform architecture based on the Hongmeng system. Among them, the physiological monitoring module collects physiological indicators such as body temperature and heart rate of operating personnel through intelligent mobile devices, generates corresponding physiological data through data preprocessing and multi-cycle segmentation and reorganization, and then compares it with the dynamically updated physiological threshold to generate accurate physiological warning. The altitude reaction assessment module combines altitude data and historical altitude reaction records to perform altitude reaction assessment through similarity analysis and generate alarms. The safety perimeter module comprehensively assesses location risks based on individual locations and overall distribution to generate warnings or alarms. The alarm module integrates various types of information and pushes alarms according to priority. The ledger module records the operating data of each module in detail to form individual and overall monitoring ledgers, thereby solving the shortcomings of traditional technologies in data integration and analysis, scientificity of altitude reaction assessment, comprehensiveness of location assessment, alarm information processing and ledger records, and improving the level of personnel safety monitoring in complex working environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0044] Figure 1 A structural block diagram of a smart terminal for implementing risk detection based on the Hongmeng system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0046] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0047] This embodiment discloses Figure 1 A smart terminal for implementing risk detection based on the Hongmeng system is shown, the smart terminal is set in a smart mobile device equipped with the Hongmeng system, and the smart mobile terminal is communicatively connected with a smart operation and maintenance platform equipped with the Hongmeng system;

[0048] The intelligent terminal at least includes a physiological monitoring module, a high-reaction assessment module, a security perimeter module and an alarm module; the intelligent operation and maintenance platform at least includes a ledger module; wherein the physiological monitoring module, the high-reaction assessment module and the security perimeter module are all connected to the alarm module in communication, the physiological monitoring module, the high-reaction assessment module and the security perimeter module are all connected to the ledger module in communication, the alarm module is connected to the ledger module in communication, and the physiological monitoring module is connected to the high-reaction assessment module in communication;

[0049] The physiological monitoring module is configured to collect the physiological indicators of the operator in real time using the intelligent mobile device, and generate corresponding physiological data and corresponding physiological warnings;

[0050] The high-altitude reaction assessment module is configured to perform high-altitude reaction assessment on the operator based on physiological data and generate corresponding high-altitude reaction alarms;

[0051] The security perimeter module is configured to perform a position assessment based on the position data of the operator and generate a corresponding position warning or position alarm;

[0052] The alarm module is configured to give a corresponding alarm based on any one or more of physiological warning, high-reaction warning, position warning and position alarm;

[0053] The ledger module is configured to generate corresponding ledgers based on the operation of the physiological monitoring module, the high-reaction assessment module, the security perimeter module and the alarm module.

[0054] It should be noted that this embodiment, based on the compatibility advantage of the Hongmeng system, realizes efficient and timely transmission of monitoring data, thereby solving the problem of poor data transmission caused by the incompatibility between traditional monitoring equipment and platform systems, ensuring the timeliness and stability of data interaction between the modules of the smart terminal and the intelligent operation and maintenance platform, and ensuring the continuity and accuracy of the risk detection process, laying the foundation for improving the overall risk detection quality.

[0055] Based on the above, this embodiment utilizes the smart terminal and smart operation and maintenance platform architecture based on the Hongmeng system to achieve comprehensive and accurate risk detection for operators. Among them, the physiological monitoring module collects physiological indicators such as body temperature and heart rate of operators through smart mobile devices, generates corresponding physiological data through data preprocessing and multi-cycle segmentation and reorganization, and then compares it with the dynamically updated physiological threshold to generate accurate physiological warnings. The altitude reaction assessment module combines altitude data with historical altitude reaction records to perform altitude reaction assessment and generate alarms through similarity analysis. The safety perimeter module comprehensively assesses location risks based on individual locations and overall distribution to generate warnings or alarms. The alarm module integrates various types of information and pushes alarms according to priority. The ledger module records the operating data of each module in detail to form individual and overall monitoring ledgers, thereby solving the shortcomings of traditional technologies in data integration and analysis, scientificity of altitude reaction assessment, comprehensiveness of location assessment, alarm information processing and ledger records, and improving the level of personnel safety monitoring in complex working environments.

[0056] Specifically, the physiological indicators include at least the body temperature and heart rate of the operator.

[0057] Specifically, the process of generating physiological data includes:

[0058] The collected physiological indicators are preprocessed to obtain corresponding body temperature data and heart rate data; it should be noted that this embodiment uses existing data preprocessing technology to achieve data cleaning of raw data;

[0059] Based on a preset short-term monitoring period, the body temperature data is divided and / or reorganized into an independent short-term body temperature data set and an overall short-term body temperature data set; wherein the independent short-term body temperature data set corresponds to an individual operator and is used to characterize the independent short-term body temperature of the operator, and the overall short-term body temperature data set corresponds to the entire operator and is used to characterize the overall short-term body temperature of all operators;

[0060] Based on the short-term monitoring period, the heart rate data is segmented and / or reorganized into an independent short-term heart rate data set and an overall short-term heart rate data set; wherein the independent short-term heart rate data set corresponds to an individual operator and is used to characterize the independent short-term heart rate situation of the operator, and the overall short-term heart rate data set corresponds to the entire operator and is used to characterize the overall short-term heart rate situation of all operators;

[0061] Based on a preset long-term monitoring period, the body temperature data is divided and / or reorganized into an independent long-term body temperature data set and an overall long-term body temperature data set; wherein the independent long-term body temperature data set corresponds to an individual operator and is used to characterize the independent long-term body temperature of the operator, and the overall long-term body temperature data set corresponds to the entire operator and is used to characterize the overall long-term body temperature of all operators;

[0062] The heart rate data is segmented and / or reorganized into an independent long-term heart rate data set and an overall long-term heart rate data set based on a long-term monitoring period; wherein the independent long-term heart rate data set corresponds to an individual operator and is used to characterize the independent long-term heart rate condition of the operator, and the overall long-term heart rate data set corresponds to the entire operator and is used to characterize the overall long-term heart rate condition of all operators;

[0063] The independent short-term body temperature dataset, the overall short-term body temperature dataset, the independent short-term heart rate dataset, the overall short-term heart rate dataset, the independent long-term body temperature dataset, the overall long-term body temperature dataset, the independent long-term heart rate dataset and the overall long-term heart rate dataset are packaged and defined as physiological data output.

[0064] It is understandable that in the same batch of construction operations, the number of workers is not unique in most cases. Therefore, this embodiment performs data processing to distinguish between individuals and the whole during design, thereby providing a data basis for determining individual status based on the overall level; further, for workers who work in the plateau for a long time, it is necessary to establish long-term physiological monitoring indicators, so as to perform multi-dimensional risk detection from different time dimensions. It should be noted that the formulation of the short-term monitoring period and the long-term monitoring period of this embodiment is based on empirical values ​​formulated based on the experience known to those skilled in the art, and the duration of the long-term monitoring period is greater than that of the short-term monitoring period. For example, the unit of the duration of the long-term monitoring period is week, and the unit of the duration of the short-term monitoring period is minute.

[0065] Specifically, the process of generating physiological warnings includes:

[0066] The physiological data is compared with the corresponding preset physiological thresholds in real time. When the physiological data does not meet the physiological thresholds, the corresponding physiological warning is generated; wherein the physiological thresholds include independent short-term body temperature thresholds, overall short-term body temperature thresholds, independent short-term heart rate thresholds, overall short-term heart rate thresholds, independent long-term body temperature thresholds, overall long-term body temperature thresholds, independent long-term heart rate thresholds and overall long-term heart rate thresholds, and the physiological thresholds are regularly updated based on the ledger of the ledger module.

[0067] It is understandable that the physiological indicators of operators will change with their working hours in a plateau environment. Therefore, this embodiment implements regular updates of physiological thresholds based on the ledger and combined with existing feature extraction technology, thereby providing more accurate data reference for risk detection.

[0068] Based on the above, this embodiment uses multi-cycle processing of physiological data and dynamic threshold comparison to achieve accurate physiological warning. By dividing and reorganizing the collected body temperature and heart rate data into individual and overall data sets according to preset short-term and long-term monitoring cycles, and comparing them with physiological thresholds updated based on the ledger in real time, the problem of weak data integration and analysis capabilities of traditional equipment is overcome, and changes in the physiological state of operators can be captured more accurately, and warnings can be issued in a timely and accurate manner, effectively ensuring the timeliness and accuracy of physiological health and safety monitoring of operators.

[0069] Specifically, the high-level anti-evaluation is as follows:

[0070] Acquire altitude data corresponding to physiological data, and use the preset altitude sickness assessment model to determine the possibility and severity of altitude sickness of the operator; the altitude sickness assessment model is specifically as follows:

[0071] Using the ledger generated by the ledger model, the historical altitude sickness records of the operators are obtained, and the historical body temperature, historical heart rate, historical altitude and historical altitude sickness conditions corresponding to the altitude sickness records are analyzed. The real-time physiological data and real-time altitude data are analyzed for similarity with the corresponding historical altitude sickness records, and the historical altitude sickness conditions in the historical altitude sickness records that meet the similarity threshold are output as the results of the altitude sickness assessment.

[0072] As a preferred implementation of this embodiment, the high-reaction evaluation model of this embodiment uses a preset high-reaction evaluation formula to perform high-reaction evaluation, wherein the high-reaction evaluation formula is specifically:

[0073] P pre_α =k*P β +max(S α,his_i )*P his_i *(1-A α +I α )

[0074] Among them, k is the correction parameter of the overall high-reversal probability to the independent high-reversal probability obtained based on the ledger fitting, P β is the probability of high-risk alarm among all operators in the current work batch, max(S α,his_i ) represents the maximum value of the similarity between the real-time physiological data and real-time altitude data of the operator α and the historical physiological data and historical real-time altitude data corresponding to the individual, i is the number of the combination of historical physiological data and historical real-time altitude data corresponding to the maximum value, P his_i is the altitude sickness probability of the combination of historical physiological data and historical real-time altitude data numbered i, A α is the adaptability of operator α to the plateau environment obtained based on the log fitting, and A α Inversely proportional to the probability of high anti-reaction, I α is the work intensity of operator α obtained based on the ledger, and Iα Proportional to the probability of high reversal, P pre_α is the calculated high-reverse prediction probability of operator α.

[0075] Specifically, the generation process of the high-voltage warning includes:

[0076] The historical high-reaction situation obtained by the high-reaction assessment is obtained, and the corresponding independent high-reaction alarm and overall high-reaction alarm are generated based on the historical high-reaction situation; among which, the independent high-reaction alarm is used to provide independent high-reaction prompts to individual operators, and the overall high-reaction alarm is used to provide overall high-reaction prompts to operators in the entire area.

[0077] It should be noted that the high-reaction alarm in this embodiment is combined with the aforementioned high-reaction evaluation formula to perform corresponding independent high-reaction alarm and overall high-reaction alarm.

[0078] Based on the above, this embodiment uses the altitude sickness assessment model based on the ledger data to achieve a scientific and accurate altitude sickness assessment. With the help of the historical altitude sickness records of the ledger module, similarity analysis is performed with real-time physiological data and altitude data, changing the traditional way of relying on experience or simple correlation analysis, deeply exploring the occurrence rules of altitude sickness, making the altitude sickness assessment results more scientific and accurate, preventing the hazards of altitude sickness in advance, and improving the risk management and control capabilities of personnel in high-altitude working environments.

[0079] Specifically, the location assessment is as follows:

[0080] Set a safety perimeter in the work area, use smart mobile devices to obtain the location information of the workers, compare the individual location of the workers with the range of the entire perimeter, and at the same time count the overall distribution of workers in the work area, perform independent location assessment and overall location assessment, and determine whether the location is in a safe and controllable state.

[0081] Specifically, the process of generating location warning and location alarm includes:

[0082] Based on independent position assessment, when the individual position of the operator is within the controllable range of the safety perimeter but close to the boundary, a position warning is generated; when the individual position approaches or exceeds the uncontrollable area, a position alarm is generated;

[0083] Based on the overall location evaluation, when the number of location warnings exceeds the location warning threshold, a location alarm is generated.

[0084] Based on the above, this embodiment uses the comprehensive location assessment of the security perimeter module to achieve comprehensive location risk warning and alarm. Set a security perimeter in the work area and combine it with the positioning of smart mobile devices, compare individual locations with the perimeter range and count the overall personnel distribution at the same time, breaking through the traditional limitation of only judging individual crossing the boundary. Whether it is individual position changes or overall personnel distribution abnormalities, it can be detected in time, and comprehensive and timely location warning and alarm are carried out to ensure the safe management of personnel positions in the work area.

[0085] Specifically, the operation of the alarm module is as follows:

[0086] Receive any one or more of physiological warnings, altitude warnings, location warnings and location alarm information, and use natural language technology to integrate the corresponding detailed content, which at least includes the warning type, information about the operating personnel involved, time and place of occurrence, and push the alarm information to relevant personnel or systems based on the preset alarm priority and alarm method.

[0087] Based on the above, this embodiment uses the information integration and priority division of the alarm module to achieve efficient alarm information communication. The detailed content of physiological warning, high-reaction warning, location warning and alarm information is integrated through natural language technology, and pushed according to the preset priority and method, improving the defects of information communication of the traditional alarm mechanism, so that relevant personnel can quickly and accurately understand the alarm information, reduce information misunderstanding and processing delays, and improve the efficiency of risk response.

[0088] Specifically, the operation of the ledger module is as follows:

[0089] The operating data of the physiological monitoring module, altitude sickness assessment module, safety perimeter module and alarm module are recorded, and independent monitoring ledgers and overall monitoring ledgers are established for individual workers and the whole worker respectively; among them, the independent monitoring ledger records the changes in physiological indicator data, altitude sickness assessment results, position movement trajectory and corresponding early warning alarm information of each worker, and the overall monitoring ledger summarizes the various data of all workers, the overall altitude sickness incidence rate, the distribution of workers in different areas and the overall early warning alarm frequency.

[0090] Based on the above, this embodiment uses the detailed records of the ledger module to achieve effective review and in-depth analysis of the health and safety status of the operators. Independent and overall monitoring ledgers are established for individuals and the whole, and detailed records are recorded for changes in physiological indicators, high-reaction assessment results, position movement trajectories, and early warning alarm information, etc., changing the traditional extensive ledger recording method, providing a rich and accurate data foundation for the subsequent comprehensive review of the health and safety status of the operators, and helping to deeply analyze risk factors and formulate improvement strategies.

[0091] In summary, the intelligent terminal for risk detection based on the Hongmeng system in this embodiment realizes comprehensive and accurate risk detection of operators by utilizing the intelligent terminal and intelligent operation and maintenance platform architecture based on the Hongmeng system. Among them, the physiological monitoring module collects physiological indicators such as body temperature and heart rate of operators through intelligent mobile devices, generates corresponding physiological data through data preprocessing and multi-cycle segmentation and reorganization, and then compares it with the dynamically updated physiological threshold to generate accurate physiological warning. The altitude reaction assessment module combines altitude data with historical altitude reaction records to perform altitude reaction assessment through similarity analysis and generate alarms. The safety perimeter module comprehensively assesses location risks based on individual locations and overall distribution to generate warnings or alarms. The alarm module integrates various types of information and pushes alarms according to priority. The ledger module records the operating data of each module in detail to form individual and overall monitoring ledgers, thereby solving the shortcomings of traditional technologies in data integration and analysis, scientificity of altitude reaction assessment, comprehensiveness of location assessment, alarm information processing and ledger records, and improving the level of personnel safety monitoring in complex working environments.

[0092] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0093] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. An intelligent terminal for risk detection based on Hongmeng system, characterized in that: The smart terminal is arranged in a smart mobile device equipped with the Hongmeng system, and the smart mobile terminal is communicatively connected with a smart operation and maintenance platform equipped with the Hongmeng system; The intelligent terminal at least includes a physiological monitoring module, a high-reaction assessment module, a security perimeter module and an alarm module; the intelligent operation and maintenance platform at least includes a ledger module; wherein the physiological monitoring module, the high-reaction assessment module and the security perimeter module are all communicatively connected to the alarm module, the physiological monitoring module, the high-reaction assessment module and the security perimeter module are all communicatively connected to the ledger module, the alarm module is communicatively connected to the ledger module, and the physiological monitoring module is communicatively connected to the high-reaction assessment module; The physiological monitoring module is configured to collect the physiological indicators of the operator in real time using the intelligent mobile device, and generate corresponding physiological data and corresponding physiological warnings; The high-sensitivity reaction assessment module is configured to perform a high-sensitivity reaction assessment on the operator based on the physiological data and generate a corresponding high-sensitivity reaction alarm; The safety perimeter module is configured to perform a position assessment based on the position data of the operator and generate a corresponding position warning or position alarm; The alarm module is configured to make a corresponding alarm based on any one or more of the physiological warning, the high-altitude warning, the position warning and the location warning; The ledger module is configured to generate a corresponding ledger based on the operation of the physiological monitoring module, the high-reaction assessment module, the security perimeter module and the alarm module.

2. According to claim 1, a smart terminal for implementing risk detection based on Hongmeng system is characterized in that: The physiological indicators at least include the body temperature and heart rate of the operator.

3. According to claim 1, a smart terminal for implementing risk detection based on Hongmeng system is characterized in that: The process of generating the physiological data includes: Preprocessing the collected physiological indicators to obtain corresponding body temperature data and heart rate data; Based on a preset short-term monitoring period, the body temperature data is divided and / or reorganized into an independent short-term body temperature data set and an overall short-term body temperature data set; wherein the independent short-term body temperature data set corresponds to an individual operator and is used to characterize the independent short-term body temperature of the operator, and the overall short-term body temperature data set corresponds to the entire operator and is used to characterize the overall short-term body temperature of all operators; Based on the short-term monitoring period, the heart rate data is segmented and / or reorganized into an independent short-term heart rate data set and an overall short-term heart rate data set; wherein the independent short-term heart rate data set corresponds to an individual operator and is used to characterize the independent short-term heart rate situation of the operator, and the overall short-term heart rate data set corresponds to the entire operator and is used to characterize the overall short-term heart rate situation of all operators; Based on a preset long-term monitoring period, the body temperature data is segmented and / or reorganized into an independent long-term body temperature data set and an overall long-term body temperature data set; wherein the independent long-term body temperature data set corresponds to an individual operator and is used to characterize the independent long-term body temperature of the operator, and the overall long-term body temperature data set corresponds to the entire operator and is used to characterize the overall long-term body temperature of all operators; Based on the long-term monitoring period, the heart rate data is segmented and / or reorganized into an independent long-term heart rate data set and an overall long-term heart rate data set; wherein the independent long-term heart rate data set corresponds to an individual operator and is used to characterize the independent long-term heart rate condition of the operator, and the overall long-term heart rate data set corresponds to the entire operator and is used to characterize the overall long-term heart rate condition of all operators; The independent short-term body temperature dataset, the overall short-term body temperature dataset, the independent short-term heart rate dataset, the overall short-term heart rate dataset, the independent long-term body temperature dataset, the overall long-term body temperature dataset, the independent long-term heart rate dataset and the overall long-term heart rate dataset are packaged and defined as the physiological data output.

4. According to claim 3, a smart terminal for implementing risk detection based on Hongmeng system is characterized in that: The generation process of the physiological warning includes: The physiological data is compared with the corresponding preset physiological thresholds in real time, and when the physiological data does not meet the physiological thresholds, a corresponding physiological warning is generated; wherein the physiological thresholds include an independent short-term body temperature threshold, an overall short-term body temperature threshold, an independent short-term heart rate threshold, an overall short-term heart rate threshold, an independent long-term body temperature threshold, an overall long-term body temperature threshold, an independent long-term heart rate threshold and an overall long-term heart rate threshold, and the physiological thresholds are regularly updated based on the ledger of the ledger module.

5. According to claim 3, a smart terminal for implementing risk detection based on Hongmeng system is characterized in that: The high-reaction assessment is specifically: Acquire altitude data corresponding to the physiological data, and use a preset altitude sickness assessment model to determine the possibility and severity of altitude sickness of the operator; wherein the altitude sickness assessment model is specifically: The ledger generated by the ledger model is used to obtain the historical altitude sickness records of the operating personnel, and the historical body temperature, historical heart rate, historical altitude and historical altitude sickness conditions corresponding to the altitude sickness records are analyzed. The real-time physiological data and real-time altitude data are analyzed for similarity with the corresponding historical altitude sickness records, and the historical altitude sickness conditions in the historical altitude sickness records that meet the similarity threshold are output as the result of the altitude sickness evaluation.

6. According to claim 5, a smart terminal for implementing risk detection based on Hongmeng system is characterized in that: The generation process of the high-altitude warning includes: The historical high-reaction situation obtained by the high-reaction assessment is obtained, and corresponding independent high-reaction alarms and overall high-reaction alarms are generated based on the historical high-reaction situation; wherein the independent high-reaction alarm is used to provide independent high-reaction prompts to individual operators, and the overall high-reaction alarm is used to provide overall high-reaction prompts to operators in the entire area.

7. According to claim 1, a smart terminal for implementing risk detection based on Hongmeng system is characterized in that: The position evaluation is specifically: A safety perimeter is set in the work area, and the location information of the workers is obtained using smart mobile devices. The individual locations of the workers are compared with the range of the full perimeter. At the same time, the overall distribution of workers in the work area is counted, and independent location assessments and overall location assessments are performed to determine whether the location is in a safe and controllable state.

8. According to claim 7, a smart terminal for implementing risk detection based on Hongmeng system is characterized in that: The generation process of the location warning and the location alarm includes: Based on the independent position assessment, when the individual position of the operator is within the controllable range of the safety perimeter but close to the boundary, a position warning is generated; when the individual position approaches or exceeds the uncontrollable area, a position alarm is generated; Based on the overall location evaluation, when the number of location warnings exceeds a location warning threshold, a location alarm is generated.

9. According to claim 1, a smart terminal for implementing risk detection based on Hongmeng system is characterized in that: The operation of the alarm module is specifically as follows: Receive any one or more of the physiological warning, the altitude warning, the location warning and the location alarm information, and use natural language technology to integrate the corresponding detailed content, which at least includes the warning type, the information of the operating personnel involved, the time and place of occurrence, and push the alarm information to relevant personnel or systems based on the preset alarm priority and alarm method.

10. According to claim 1, a smart terminal for implementing risk detection based on Hongmeng system is characterized in that: The operation of the ledger module is specifically as follows: The operating data of the physiological monitoring module, the altitude sickness assessment module, the safety perimeter module and the alarm module are recorded, and independent monitoring ledgers and overall monitoring ledgers are established for individual workers and the whole worker respectively; wherein, the independent monitoring ledger records the changes in physiological indicator data, altitude sickness assessment results, position movement trajectory and corresponding early warning alarm information of each worker, and the overall monitoring ledger counts the summary of various data of all workers, the overall incidence rate of altitude sickness, the distribution of workers in different areas and the overall early warning alarm frequency.

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