Intelligent safety belt and wearing detection method thereof

Abstract

The present invention discloses an intelligent safety belt and a wearing detection method thereof, which relates to the field of industrial safety protection technology, including: a host device and an auxiliary device; the host device is used to collect the status data of the operating personnel, process monitoring information, trigger alarms and communicate with external devices; the auxiliary device is used to enhance the monitoring function, coordinate data processing, assist communication and provide backup power support when the power is insufficient. The intelligent safety belt and the wearing detection method thereof provided by the present invention include multiple factors such as height, hook status, hook spacing and environmental parameters into the monitoring range through the construction and screening of a multi-dimensional data matrix, which can realize comprehensive detection and accurate judgment of the operating status, and reduce the risk of false alarms caused by single parameter detection.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial safety protection, and in particular to an intelligent safety belt and a wearing detection method thereof. Background Art

[0002] In aerial work and other situations where there are potential safety hazards, traditional safety belts can only provide basic physical protection and it is difficult to achieve real-time monitoring of workers. Although the smart safety belts in the prior art have introduced some monitoring functions, they are usually limited to simple data collection and alarms, and fail to effectively adapt to the complex and changing working environment. For example, environmental parameters such as temperature, humidity, and wind speed will affect the monitoring accuracy of the safety belt. The current technical solution cannot be dynamically adjusted according to environmental changes, and there is a risk of false alarms or missed alarms. In addition, the existing smart safety belt system cannot respond in time when the battery is low or the communication is interrupted, and the stability and continuity of the system are poor. Therefore, the prior art has not yet provided a smart safety belt solution that can perform anomaly detection in multiple dimensions, has a dynamic adjustment mechanism, and can ensure the stable operation of the system. Summary of the invention

[0003] In view of the above-mentioned problems, the present invention is proposed.

[0004] Therefore, the technical problem solved by the present invention is: it solves the problems that in the existing intelligent seat belt system, it is difficult to accurately monitor the status of operators in real time, it is impossible to dynamically adjust the monitoring threshold according to environmental changes, and it is difficult to ensure continuous data transmission when the system is low on power or the signal fluctuates. In particular, it provides a system stability solution based on high-precision monitoring based on a multi-dimensional data matrix, environmental adaptability calibration of dynamic threshold adjustment, priority power supply of backup power supply and communication switching.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent safety belt, comprising:

[0006] Main equipment and auxiliary equipment;

[0007] The host device is used to collect status data of operators, process monitoring information, trigger alarms and communicate with external devices;

[0008] The auxiliary equipment is used to enhance monitoring functions, coordinate data processing, assist communications, and provide backup power support when power is insufficient.

[0009] As a preferred solution of the smart safety belt of the present invention, wherein: the host device includes a data processing module, a monitoring module, an alarm module and a communication module;

[0010] The data processing module is connected to the monitoring module, and is used to receive input data from the monitoring module and analyze it, and output the analysis results to the alarm module and the communication module;

[0011] The monitoring module includes a height sensor and a hook status sensor for collecting data on the height of the operator, the hook connection status, and the hook spacing;

[0012] The alarm module is connected to the data processing module and is used to trigger the sound and light alarm device when receiving a specific signal in the analysis result;

[0013] The communication module is used to transmit the analysis results and monitoring status data of the data processing module to the remote monitoring platform or the guardian terminal through wireless connection.

[0014] As a preferred solution of the intelligent safety belt of the present invention, the auxiliary device includes an enhanced monitoring module, a collaborative processing module, an auxiliary communication module and a backup power supply module;

[0015] The enhanced monitoring module includes an additional hook status sensor for collecting additional data on the hook connection status and transmitting it to the collaborative processing module;

[0016] The collaborative processing module is connected to the data processing module of the host device, and is used to compare and calibrate the data provided by the monitoring module and the enhanced monitoring module, and generate calibrated data output;

[0017] The auxiliary communication module is connected to the communication module of the host device and is used to take over the data transmission when the communication module of the host device is interrupted, so as to realize the transmission operation of data and control signals;

[0018] The backup power supply module includes a power detection circuit and a power switching circuit, which are used to switch the power supply to the monitoring module, the communication module and the collaborative processing module when it is detected that the power of the host device is lower than a set threshold.

[0019] As a preferred solution of the intelligent safety belt of the present invention, the data processing module transmits the data to the collaborative processing module for calibration after receiving the status data of the monitoring module. The collaborative processing module performs precision calibration on the monitoring data according to the additional data provided by the enhanced monitoring module, and returns the calibrated data to the data processing module for generating an alarm signal or status data.

[0020] The alarm module directly drives the sound and light alarm device based on the calibration data transmitted by the data processing module;

[0021] After receiving the analysis data from the data processing module, the communication module transmits the status information to the remote monitoring platform and the terminal device of the guardian.

[0022] Another object of the present invention is to provide a method for detecting the wearing of an intelligent seat belt, which solves the problems of low monitoring accuracy, insufficient environmental adaptability, and poor stability of the system in the case of insufficient power and communication interruption in the existing intelligent seat belt monitoring methods, as well as the optimization problem of how to achieve high-precision, stable and reliable intelligent seat belt monitoring and alarm in a dynamic and complex working environment.

[0023] In order to solve the above technical problems, the present invention provides the following technical solutions: A method for detecting wearing of an intelligent safety belt, comprising: a monitoring module in a host device collects the height, hook connection status, hook spacing and environmental parameters of an operator, and transmits the collected data to a data processing module;

[0024] The data processing module constructs a multi-dimensional data matrix according to the height of the operator and the hook connection status, and cross-checks the data according to the combination of height and hook position; the data processing module identifies abnormal conditions by judging the deviation value in each dimensional parameter combination. If the deviation value exceeds the set safety range, it is marked as an abnormal signal and a multi-dimensional abnormal data list is generated;

[0025] After identifying the abnormal signal in the multi-dimensional abnormal data list, the data processing module transmits the signal to the collaborative processing module of the auxiliary equipment for further screening.

[0026] As a preferred solution of the wearing detection method of the smart safety belt described in the present invention, wherein: after receiving the abnormal signal, the collaborative processing module performs data calibration by comparing the abnormal signal with the pre-stored normal state data; the data calibration includes detecting the continuity of the abnormal signal, and if the abnormal signal does not appear once within a specific time, it is confirmed to be a valid abnormal signal; if the abnormal signal only appears once, and the difference with the normal state data is within a preset deviation range, it is identified as a false alarm signal and removed from the abnormal list;

[0027] The collaborative processing module adjusts the threshold value based on the environmental parameters; the calibrated abnormal signal is sent back to the data processing module for further judgment.

[0028] As a preferred solution of the wearing detection method of the smart safety belt described in the present invention, wherein: the data processing module grades the intensity and continuity of the abnormal signal according to the calibration result returned by the collaborative processing module, and if a low-level abnormality is detected, a mild alarm signal of the alarm module is triggered; if a high-level abnormality is detected and the abnormal signal has a large deviation value, a high-intensity sound and light alarm of the alarm module is triggered;

[0029] The communication module transmits the high-level alarm signal and the current operation status to the remote monitoring platform. After receiving multiple high-level alarm signals in succession, the supervisor can send a signal through the platform to adjust the detection sensitivity of the system.

[0030] As a preferred solution of the wearing detection method of the intelligent safety belt of the present invention, when the communication module signal of the host device fluctuates or is interrupted, the auxiliary communication module of the auxiliary device quickly takes over the data transmission and transmits the alarm status and operator information to the remote monitoring platform;

[0031] When the power detection circuit detects that the host device is short of power, the backup power module starts the power switching circuit to give priority to supplying power to the monitoring module, data processing module and communication module, while limiting the power supply to other modules.

[0032] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned smart seat belt wearing detection method when executing the computer program.

[0033] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned smart seat belt wearing detection method.

[0034] Beneficial effects of the present invention: The intelligent safety belt and the wearing detection method thereof provided by the present invention, through the construction and screening of a multi-dimensional data matrix, multiple factors such as height, hook status, hook spacing and environmental parameters are included in the monitoring range, which can realize comprehensive detection and accurate judgment of the operating status and reduce the risk of false alarm due to single parameter detection.

[0035] The system can dynamically adjust the detection threshold according to real-time environmental parameters, and use multiple calibration modes during the data calibration process to automatically adapt to changes in external factors such as temperature, humidity and wind speed, thereby enhancing the flexibility and accuracy of monitoring and adapting to the needs of complex working environments.

[0036] The present invention ensures that key modules are powered first when the main power supply is insufficient through the priority power supply strategy of the backup power supply module. At the same time, the communication switching mechanism can automatically take over data transmission when the main communication module fails, ensuring the continuous transmission of alarm information and operator status, thereby improving the stability of the system in harsh environments.

[0037] The intelligent safety belt of the present invention can effectively replace traditional manual management, improve the safety management level of high-altitude operations and other dangerous workplaces, reduce the incidence of safety accidents, and has high practical application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0039] Figure 1 An overall structural diagram of an intelligent safety belt and a wearing detection method thereof provided in one embodiment of the present invention.

[0040] Figure 2 An overall structural diagram of an intelligent safety belt and a wearing detection method thereof provided in one embodiment of the present invention.

[0041] Figure 3 An overall structural diagram of an intelligent safety belt and a wearing detection method thereof provided in one embodiment of the present invention.

[0042] Figure 4 An overall flow chart of an intelligent safety belt and a wearing detection method thereof provided by one embodiment of the present invention.

[0043] Figure 5 A schematic diagram of the components of a smart safety belt and a wearing detection method thereof provided by an embodiment of the present invention.

[0044] Figure 6 An intelligent seat belt low hanging high use warning diagram of an intelligent seat belt and a wearing detection method thereof provided in one embodiment of the present invention.

[0045] Figure 7 An intelligent safety belt double hook too close warning diagram of an intelligent safety belt and a wearing detection method thereof provided by an embodiment of the present invention.

[0046] Figure 8 A mobile phone status viewing diagram of a smart safety belt and a wearing detection method thereof provided in accordance with an embodiment of the present invention.

[0047] Fig. 9 A normal diagram of a smart seat belt hook of a smart seat belt and a wearing detection method thereof provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0049] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0050] Example 1

[0051] Reference Figure 1 , is an embodiment of the present invention, providing a smart safety belt, comprising:

[0052] A host device 100 and an auxiliary device 200; the host device 100 is used to collect status data of operators, process monitoring information, trigger alarms and communicate with external devices; the auxiliary device 200 is used to enhance monitoring functions, coordinate data processing, assist communications and provide backup power support when power is insufficient.

[0053] The host device 100 includes a data processing module 101, a monitoring module 102, an alarm module 103 and a communication module 104; the data processing module 101 is connected to the monitoring module 102, and is used to receive the input data of the monitoring module 102 and analyze it, and output the analysis results to the alarm module 103 and the communication module 104. When the data processing module 101 receives a specific abnormal analysis signal, it sends an adjustment instruction to the monitoring module through a two-way communication line to switch the acquisition frequency from the normal mode to the high-frequency mode, so as to monitor the status of the operator with higher accuracy. The monitoring module 102 includes a height sensor and a hook status sensor, which are used to collect data on the height, hook connection status and hook spacing of the operator. The data acquisition unit of the monitoring module has real-time responsiveness, ensuring that the data processing module can receive status data in real time.

[0054] The alarm module 103 is connected to the data processing module 101, and is used to trigger the sound and light alarm device when a specific signal in the analysis result is received. The alarm module 103 includes a multi-level drive circuit, and each level of the drive circuit is connected to different intensity channels of the sound and light alarm device. When a low-level abnormal signal is received, the first-level drive circuit of the alarm module 103 triggers a mild sound and light alarm within 50 milliseconds to alert the operator; when a high-level abnormal signal is received, the second or third-level drive circuit drives the sound and light alarm device to respond to the signal with a higher intensity within 100 milliseconds to ensure that the operator can receive the alarm in time under high-risk conditions. If multiple high-level alarm signals are received continuously within 3 seconds, the alarm module will keep the third-level drive circuit turned on to avoid repeated triggering.

[0055] The communication module 104 is used to transmit the analysis results and monitoring status data of the data processing module 101 to the remote monitoring platform or the guardian terminal through a wireless connection. The communication module 104 has a built-in signal enhancer to ensure that the data transmission stability is maintained even when the signal is weak. When the signal fluctuation of the communication module 104 of the host device 100 exceeds 200 milliseconds, the auxiliary communication module 203 of the auxiliary device 200 starts the communication switching function through the signal strength detection circuit, and automatically takes over the data transmission within 50 milliseconds to avoid information loss. During the period of taking over the data transmission, the auxiliary communication module 203 will give priority to transmitting key alarm data to ensure that the remote monitoring platform or the guardian can receive important information in time. After the communication module 104 recovers and remains stable for more than 1 second, the data transmission task will be automatically returned to the communication module 104 of the host device 100 to restore the normal transmission state.

[0056] The auxiliary device 200 includes an enhanced monitoring module 201, a collaborative processing module 202, an auxiliary communication module 203 and a backup power supply module 204. The enhanced monitoring module 201 includes an additional hook status sensor for collecting additional data of the hook connection status and transmitting it to the collaborative processing module 202 to enhance the monitoring accuracy. The collaborative processing module 202 is connected to the data processing module 101 of the host device 100, and includes a calibration processing unit and a data cache unit. When the collaborative processing module performs data calibration, it compares the monitoring data of the host device and the auxiliary device. If the same type of abnormality is detected twice in a row, the system enters a multiple calibration mode and uses the decreasing weighted average method of historical data to smooth the data to ensure data stability. If the data deviation still exceeds the preset threshold, the collaborative processing module will mark it as a valid abnormal signal and feed it back to the data processing module 101 for further processing.

[0057] The backup power module 204 includes a power detection circuit and a power switching circuit. The power detection circuit monitors the power status of the host device 100 in real time. When the power of the main power supply is lower than the set threshold (for example, 20%), the power switching circuit of the backup power module will give priority to supplying power to the monitoring module 102, the data processing module 101 and the communication module 104 to ensure the continuous operation of these key modules. Other non-core modules such as the collaborative processing module 202 and the auxiliary communication module 203 are temporarily interrupted from power supply to ensure the core functions of the system when the power is insufficient. The backup power module 204 detects the status of the main power supply every 10 seconds. If the main power supply is restored, it will delay 1 second to gradually restore the power supply sequence of all modules. First, the monitoring module 102 will be restored, and then the data processing module 101 and the communication module 104 will be restored in turn. The power supply interval is 0.5 seconds to prevent power overload and power conflict.

[0058] Example 2

[0059] Reference Figure 2 , as an embodiment of the present invention, provides a smart safety belt and a wearing detection method thereof, comprising:

[0060] The monitoring module in the host device collects the height of the operator, the hook connection status, the hook spacing and environmental parameters, and transmits the collected data to the data processing module;

[0061] The data processing module constructs a multi-dimensional data matrix according to the height of the operator and the hook connection status, and cross-checks the data according to the combination of height and hook position; the data processing module identifies abnormal conditions by judging the deviation value in each dimensional parameter combination. If the deviation value exceeds the set safety range, it is marked as an abnormal signal and a multi-dimensional abnormal data list is generated;

[0062] After identifying the abnormal signal in the multi-dimensional abnormal data list, the data processing module transmits the signal to the collaborative processing module of the auxiliary equipment for further screening.

[0063] After receiving the abnormal signal, the collaborative processing module performs data calibration by comparing the abnormal signal with the pre-stored normal state data; the data calibration includes detecting the continuity of the abnormal signal. If the abnormal signal does not appear once within a specific time, it is confirmed to be a valid abnormal signal; if the abnormal signal only appears once and the difference with the normal state data is within the preset deviation range, it is identified as a false alarm signal and removed from the abnormal list;

[0064] The collaborative processing module compares and adjusts the threshold value based on real-time environmental parameters such as temperature, humidity and wind speed to adapt the detection calibration process to the current environmental conditions; the calibrated abnormal signal is transmitted back to the data processing module for further judgment.

[0065] The data processing module grades the intensity and continuity of the abnormal signal according to the calibration results returned by the collaborative processing module. If a low-level abnormality is detected, a mild alarm signal of the alarm module is triggered; if a high-level abnormality is detected and the abnormal signal has a large deviation value, a high-intensity sound and light alarm of the alarm module is triggered;

[0066] The communication module transmits the high-level alarm signal and the current operation status to the remote monitoring platform. After receiving multiple high-level alarm signals in succession, the monitoring personnel can send a signal through the platform to adjust the detection sensitivity of the system, so that the data processing module can automatically adjust the deviation value of the abnormal signal trigger condition to a more stringent set value.

[0067] When the communication module signal of the host device fluctuates or is interrupted, the auxiliary communication module of the auxiliary device quickly takes over the data transmission and transmits the alarm status and operator information to the remote monitoring platform;

[0068] When the power detection circuit detects that the host device is low on power, the backup power module starts the power switching circuit, giving priority to supplying power to the monitoring module, data processing module and communication module, while limiting the power supply to other modules to ensure the continuous operation of data collection, processing and transmission functions.

[0069] During the implementation process, the system divides the height data into fine safety intervals, with each 1 meter or 5 meters as a segment. The specific demand selection can be adjusted according to the adaptability of different application scenarios. When different working environments such as high-rise building construction or tower crane operations have their own height safety requirements, the system will dynamically adjust the accuracy of the height segmentation to improve the adaptability of the detection. For higher workplaces, the system automatically adjusts the segmentation accuracy according to the actual operating environment during the detection process through dynamic height intervals to ensure adaptability and detection accuracy.

[0070] The hook connection status is further refined into multiple sub-statuses, including "hook is not completely locked", "hook is not hooked to the specified point" and "hook position offset". Each state is accurately located by the hook sensor according to the actual connection status of the hook. For example, when the hook angle deviation is detected to be no more than 15 degrees, the hook state is marked as fully locked; if the angle deviation exceeds 15 degrees or does not reach the specified connection point, the system records this state as an abnormal state. If an abnormality is detected in the hook state, the system starts the hook state secondary calibration mode, and compares the initial detection result and the secondary detection result by the hook sensor to further determine whether the abnormal state is a false alarm. If the error range of the secondary detection still exceeds 10%, the system marks this state as abnormal and enters the abnormal data list.

[0071] The hook spacing detection uses different spacing intervals to determine whether there are abnormalities in the hook spacing. By setting the spacing intervals of <1 meter, 1-2 meters, and >2 meters, the system can determine whether there is a risk of the hooks being too close to each other, thus avoiding safety hazards caused by the hooks being too close. The system automatically identifies specific abnormality levels based on different spacing intervals: if the hook spacing is less than 1 meter, it is marked as a high-risk level, and the system directly triggers a high-intensity alarm; if the spacing is between 1-2 meters, it is marked as a medium-risk level, and a mild alarm is used to remind the operator to pay attention; for states where the distance exceeds 2 meters, the system maintains regular monitoring. Using a graded distance judgment method, the system can accurately identify specific abnormal situations and ensure that operators receive corresponding safety feedback under different risk conditions.

[0072] Environmental data such as temperature, humidity and wind speed are collected in real time by dedicated sensors, and the data is updated to the matrix model in a dynamic input manner. Each environmental parameter is set with a dynamic safety range, such as the temperature is set at 15-30°C, the humidity is controlled at 30%-70%, and the wind speed must not exceed 10m / s. During data collection, the system constructs the combination conditions of the matrix based on the current environmental data combination. If it is detected that the environmental data exceeds the safety range, the system automatically increases the sampling frequency and enters the environmental abnormality frequency increase mode, increasing the sampling frequency to 1.5 times the original frequency to quickly adapt to the rapid changes in the external environment.

[0073] During the multi-dimensional data matrix screening process, the system calculates the parameter deviation value for each combination unit in the matrix, and identifies anomalies through the safety range set by the deviation value. For example, the system sets the deviation threshold to 20%, and the matrix units that exceed this threshold are marked as abnormal. The specific screening conditions are: if the height parameter deviation in the combination exceeds 10%, the hook state deviation exceeds 5%, and the environmental parameter deviation exceeds 15%, the system determines that the unit is in an abnormal state. The system marks these over-limit units as abnormal and generates an abnormal data list based on the conditions of persistent abnormalities. For example, if a specific combination unit exceeds the limit multiple times (such as more than 3 times) during the continuous detection process, the system will record the unit in the abnormal data list for subsequent data calibration and further confirmation.

[0074] To achieve dynamic threshold adjustment, the system dynamically calculates the adjustment coefficient of each environmental parameter on the baseline threshold. The adjustment coefficient of each environmental parameter is pre-set to ensure that the system adapts to the dynamic environment. For example, the temperature adjustment coefficient is set to 0.01, the humidity adjustment coefficient is 0.02, and the wind speed adjustment coefficient is 0.03. The dynamic threshold of each parameter can be calculated by formula, for example, dynamic temperature threshold = baseline temperature threshold + (temperature adjustment coefficient × real-time temperature). When the temperature rises above 30°C, the system will automatically adjust the threshold through this formula to reduce false alarms that may be caused by high temperature. In addition, when the humidity increases, the humidity parameter weight is adjusted to 0.03, and the system dynamically modifies the safety threshold based on the humidity adjustment coefficient to adapt to humid environments and reduce the risk of sliding or falling off due to humidity changes.

[0075] In multi-parameter adjustment, the system combines the adjustment results of multiple parameters to form the final dynamic threshold, that is, dynamic threshold = baseline threshold + Σ (various parameter adjustment coefficients × real-time parameter values). The weighted adjustment of each parameter ensures that the system responds to environmental changes in a timely manner. The system updates the values ​​of each parameter in real time through environmental sensors and recalculates the dynamic threshold to ensure that each new data collection is carried out under the latest dynamic threshold conditions.

[0076] For the calibration step, the system implements precision control based on data continuity, difference comparison and dynamic adjustment. If the abnormal signal appears abnormal 3 times out of 5 times in a row during the detection, the system confirms that the signal is a valid abnormality and passes it to the collaborative processing module for further analysis. If it is only a single abnormality, the system will eliminate false alarms through difference comparison, and the signal with smaller error will be automatically eliminated in the next acquisition. If the error exceeds the safety threshold of 10%, the system starts the error accumulation mode to further monitor whether the cumulative deviation value of multiple acquisitions exceeds the limit. After each environmental data update, the system will recalculate the dynamic threshold to ensure the real-time detection, especially when the wind speed changes sharply, the system will frequently adjust the detection parameters to ensure environmental adaptability.

[0077] The triggering condition of the sensitivity feedback mechanism is based on the alarm frequency received by the monitoring platform. The system presets the triggering condition to receive 3 or more high-level alarm signals within 5 minutes to avoid a single abnormal false alarm triggering unnecessary sensitivity adjustment. If the alarm signal does not reach the triggering condition within the set time range, the system automatically resets the alarm count to ensure that false alarms do not affect the sensitivity adjustment. After receiving the feedback signal, the system tightens the triggering condition of the deviation value to 80%, reducing the allowable error range to enhance the detection accuracy under high-risk conditions. If no high-level alarm signal appears in the subsequent 5 consecutive acquisitions, the system automatically returns to the initial sensitivity to ensure that the system has the ability to adaptively adjust under different risk conditions.

[0078] When the sensitivity is restored, the system recounts the alarm trigger frequency to ensure that the alarm sensitivity is only triggered again under high-frequency alarms to avoid false alarms caused by oversensitivity. The system maintains the rationality of detection through real-time monitoring of the alarm frequency and reduces the false alarm rate during normal detection. The system automatically adjusts the detection sensitivity in various situations to ensure that it can improve the detection sensitivity under high-frequency alarms and maintain a reasonable detection level when the detection environment is stable.

[0079] When the signal fluctuation of the communication module of the host device exceeds 200 milliseconds, the system will enter the communication fluctuation detection state, and the auxiliary communication module of the auxiliary device will take over the data transmission within 50 milliseconds to ensure the real-time synchronization of the alarm information and the status of the operator. After the signal of the host device is restored and the detection is stable for more than 1 second, the auxiliary device will return the data transmission to the host device to achieve a stable communication link.

[0080] The power detection circuit monitors the power of the host device in real time. When the power of the host device is lower than the set threshold of 20%, the backup power module activates the power switching circuit and supplies power to the monitoring module, data processing module and communication module in priority within 100 milliseconds to ensure the continuous operation of key modules. The power supply of non-core modules is temporarily reduced to ensure that the system prioritizes the stability of core functional modules. After the main power is restored, the backup power module will gradually restore the power supply of non-core modules with a delay of 1 second to prevent functional conflicts caused by power overload and ensure that each module can switch safely under different power conditions.

[0081] Example 3

[0082] An embodiment of the present invention is different from the first two embodiments in that:

[0083] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0084] 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 instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes 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 conjunction with such instruction execution systems, devices or apparatuses.

[0085] 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 case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a 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, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0086] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of 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 their combination: 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.

[0087] Example 4

[0088] Reference Figure 5-Figure 9 , as an embodiment of the present invention, provides an intelligent safety belt and a wearing detection method thereof.

[0089] like Figure 5 As shown in the figure, the smart safety belt has multiple functions. First, it can detect the operator and the working height of the operator to ensure that they can use the smart safety belt correctly. Real-time monitoring of abnormal behaviors of the operator during the high-altitude operation, such as the safety belt hook is not hung, the double hook is not hung high, and the double hook is hung close.

[0090] like Figure 6 As shown, secondly, if the seat belt is not worn correctly or is loose, the smart seat belt will send out a warning signal for on-site sound and light alarm to remind the operator to fasten the safety buckle and safety hook, and synchronize the information to the on-site supervisor's mobile phone APP and remote PC management platform.

[0091] like Figure 7 As shown, finally, the supervisor can view the safety belt climbing status and alarm information through the APP or remote platform, and can specify the safety belt to end climbing or end all operations with one click.

[0092] like Figure 8As shown in the figure, smart safety belts have significant advantages over traditional safety belts. They can solve the bad habits of not wearing safety belts, unlocking the equipment at will, and hooking safety belts during high-altitude operations, reduce the safety accident rate through scientific and technological means, achieve efficient management and early warning, and replace traditional human management.

[0093] like Fig. 9 As shown, in addition, the smart seat belt can also be continuously upgraded and optimized, with the characteristics of being pre-emptive, controllable during the process, and traceable afterwards. It can better adapt to the needs, improve the safety management level of managers, and ensure the life safety and health of operators.

[0094] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An intelligent safety belt, characterized in that: include: A host device (100) and an auxiliary device (200); The host device (100) is used to collect status data of operators, process monitoring information, trigger alarms and communicate with external devices; The auxiliary device (200) is used to enhance monitoring functions, coordinate data processing, assist communications, and provide backup power support when power is insufficient.

2. The smart safety belt according to claim 1, characterized in that: The host device (100) comprises a data processing module (101), a monitoring module (102), an alarm module (103) and a communication module (104); The data processing module (101) is connected to the monitoring module (102), and is used to receive input data from the monitoring module (102), analyze the data, and output the analysis results to the alarm module (103) and the communication module (104); The monitoring module (102) comprises a height sensor and a hook state sensor, which are used to collect data on the height of the operator, the hook connection state and the hook spacing; The alarm module (103) is connected to the data processing module (101) and is used to trigger the sound and light alarm device when receiving a specific signal in the analysis result; The communication module (104) is used to transmit the analysis results and monitoring status data of the data processing module (101) to a remote monitoring platform or a monitoring personnel terminal via a wireless connection.

3. The intelligent safety belt according to claim 2, characterized in that: The auxiliary device (200) comprises an enhanced monitoring module (201), a coordinated processing module (202), an auxiliary communication module (203) and a backup power supply module (204); The enhanced monitoring module (201) comprises an additional hook state sensor for collecting additional data of the hook connection state and transmitting it to the collaborative processing module (202); The collaborative processing module (202) is connected to the data processing module (101) of the host device (100), and is used to compare and calibrate the data provided by the monitoring module (102) and the enhanced monitoring module (201), and generate calibrated data output; The auxiliary communication module (203) is connected to the communication module (104) of the host device (100) and is used to take over data transmission when the communication module (104) of the host device (100) is interrupted, thereby realizing the transmission operation of data and control signals; The backup power supply module (204) comprises a power detection circuit and a power switching circuit, which is used to switch the power supply to the monitoring module (102), the communication module (104) and the co-processing module (202) when it is detected that the power level of the host device (100) is lower than a set threshold.

4. The smart safety belt according to claim 3, characterized in that: After receiving the status data from the monitoring module (102), the data processing module (101) transmits the data to the collaborative processing module for calibration. The collaborative processing module performs precision calibration on the monitoring data based on the additional data provided by the enhanced monitoring module (102), and returns the calibrated data to the data processing module (101) for generating an alarm signal or status data. The alarm module directly drives the sound and light alarm device based on the calibration data transmitted by the data processing module (101); After receiving the analysis data from the data processing module (101), the communication module transmits the status information to the remote monitoring platform and the terminal device of the guardian.

5. A wearing detection method using the smart safety belt according to any one of claims 1 to 4, characterized in that: include: The monitoring module in the host device collects the height of the operator, the hook connection status, the hook spacing and environmental parameters, and transmits the collected data to the data processing module; The data processing module constructs a multi-dimensional data matrix according to the height of the operator and the hook connection status, and cross-checks the data according to the combination of height and hook position; the data processing module identifies abnormal conditions by judging the deviation value in each dimensional parameter combination. If the deviation value exceeds the set safety range, it is marked as an abnormal signal and a multi-dimensional abnormal data list is generated; After identifying the abnormal signal in the multi-dimensional abnormal data list, the data processing module transmits the signal to the collaborative processing module of the auxiliary equipment for further screening.

6. The smart safety belt wearing detection method according to claim 5, characterized in that: After receiving the abnormal signal, the collaborative processing module performs data calibration by comparing the abnormal signal with the pre-stored normal state data; the data calibration includes detecting the continuity of the abnormal signal. If the abnormal signal does not appear once within a specific time, it is confirmed to be a valid abnormal signal; If the abnormal signal only occurs once and the difference with the normal state data is within the preset deviation range, it will be identified as a false alarm signal and removed from the abnormal list; The collaborative processing module adjusts the threshold value based on the environmental parameters; the calibrated abnormal signal is sent back to the data processing module for further judgment.

7. The wearing detection method of the smart safety belt according to claim 6, characterized in that: The data processing module grades the intensity and continuity of the abnormal signal according to the calibration results returned by the collaborative processing module. If a low-level abnormality is detected, a mild alarm signal of the alarm module is triggered; if a high-level abnormality is detected and the abnormal signal has a large deviation value, a high-intensity sound and light alarm of the alarm module is triggered; The communication module transmits the high-level alarm signal and the current operation status to the remote monitoring platform. After receiving multiple high-level alarm signals in succession, the supervisor can send a signal through the platform to adjust the detection sensitivity of the system.

8. The smart safety belt wearing detection method according to claim 5, characterized in that: When the communication module signal of the host device fluctuates or is interrupted, the auxiliary communication module of the auxiliary device quickly takes over the data transmission and transmits the alarm status and operator information to the remote monitoring platform; When the power detection circuit detects that the host device is short of power, the backup power module starts the power switching circuit to give priority to supplying power to the monitoring module, data processing module and communication module, while limiting the power supply to other modules.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the smart seat belt wearing detection method described in any one of claims 5 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the smart seat belt wearing detection method according to any one of claims 5 to 8 are implemented.

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