Safety belt locking state dynamic sensing early warning method and early warning device

Abstract

The invention provides a safety belt locking state dynamic sensing early warning method and early warning device.The early warning method comprises the steps that safety information of a safety belt is obtained, and the safety information comprises first state information used for representing the working state of an operator and second state information used for representing the working state of a mounting belt; determining safety belt state information of the safety belt based on the first state information; safety belt safety information of the safety belt is determined based on the second state information, and early warning information of the safety belt is generated based on the safety belt state information and the safety belt safety information. According to the early warning method, the safety risk level can be accurately evaluated, the safety and the monitoring capability of high-altitude operation are remarkably improved, the situation that high-altitude operation personnel unlock all safety belts by misoperation or unlock safety belt protection during habitual illegal displacement can be avoided in actual application, it is guaranteed that the operation personnel continuously operate under the protection of the safety belts, and the working efficiency is improved. The high-altitude falling risk is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of safety equipment for aerial work of electric power equipment, and in particular to a method and device for dynamically sensing and warning the locking state of a safety belt. Background Art

[0002] In the electric power industry, the maintenance and inspection of power transmission and transformation lines often require personnel to work at heights. To ensure the safety of personnel working at heights, safety belts are essential protective equipment.

[0003] In order to facilitate the operation, the safety belt and the backup safety belt are usually used alternately. When the operator needs to move, he needs to fasten the backup safety belt first and then unfasten the working safety belt, so that he is always in the safety belt protection state during the entire operation process, while ensuring the flexibility of the operation, and achieving uninterrupted safety protection throughout the process. However, if the operator makes an error in this process, first unfastening the working safety belt and then fastening the backup safety belt, there will be a short period of unprotected state.

[0004] At present, although there are existing technologies for installing belt status monitoring devices, the D-shaped buckle of the safety belt and the micro switch can detect the hanging status, but it is impossible to determine whether the buckle is completely closed or whether the rope tension is appropriate. If the operator's improper operation causes the buckle to not be completely fastened, or the rope is too loose, the monitoring device may not be able to accurately identify these potential dangers. At the same time, the existing monitoring system sends status information to the ground terminal through the micro switch, but in a complex high-altitude environment, the signal may be interfered or delayed, and the real-time and reliability of information transmission cannot be met. In addition, under the condition of multiple people working at the same time, it is impossible to achieve accurate monitoring and rapid response to each operator.

[0005] Therefore, there is a technical problem in the prior art that the installed belt status monitoring device cannot accurately sense the status of the safety belt in real time and cannot meet the safety requirements of high-altitude operations. Summary of the invention

[0006] The main purpose of the present invention is to provide a dynamic sensing and early warning method and early warning device for the locking status of a seat belt, so as to solve the technical problem in the prior art that the installed belt status monitoring device cannot accurately and real-time sense the status of the seat belt and cannot meet the safety requirements of high-altitude operations.

[0007] To achieve the above-mentioned purpose, according to one aspect of the present invention, a method for dynamic perception and warning of a seat belt locking state is provided, comprising: obtaining safety information of the seat belt, wherein the seat belt comprises a first seat belt and a second seat belt, and the safety information comprises first status information for characterizing a working status of an operator and second status information for characterizing a working status of an installation belt, wherein the first status information comprises at least an acceleration and an angular velocity of movement of the operator, and the second status information comprises at least tension information of the seat belt, a closing pressure and a closing angle inside a seat belt buckle; determining the seat belt status information of the seat belt based on the first status information; determining the seat belt safety information of the seat belt based on the second status information, wherein the seat belt safety information comprises the first safety information and / or the second safety information; and generating warning information of the seat belt based on the seat belt status information and the seat belt safety information.

[0008] In some embodiments, determining the operating status information of the safety belt based on the first status information includes: activating an electronic switching device based on the first status information and obtaining force status data; and determining the safety belt status information of the safety belt based on the force status data.

[0009] In some embodiments, determining the first safety information of the seat belt based on the second state information includes: determining a locking state of the seat belt based on the second state information; and determining the first safety information of the seat belt based on the locking state.

[0010] In some embodiments, determining the second safety information of the seat belt based on the second state information includes: determining the real-time stress state of the seat belt based on the second state information; and determining the second safety information of the seat belt based on the real-time stress state.

[0011] In some embodiments, the method also includes generating an operator error operation warning prompt message based on the seat belt status information, including the following steps: determining a first locking state of the first seat belt and a second locking state of the second seat belt based on the seat belt status information: when the first locking state and the second locking state are both in an unlocked state, generating and sending a locking state error prompt message.

[0012] In some embodiments, after determining the seat belt warning information based on the seat belt status information and the seat belt safety information, the method further includes: generating safety management information based on the warning information.

[0013] In some embodiments, determining the seat belt status information of the seat belt based on the first status information further includes: evaluating the safety status of the operator, and updating the seat belt status information based on the evaluation result.

[0014] According to another aspect of the present invention, the present invention also provides a dynamic perception and warning device for the locking status of a seat belt, comprising: an acquisition module, used to acquire safety information of the seat belt, wherein the seat belt comprises a first seat belt and a second seat belt, and the safety information comprises first status information for characterizing the working status of an operator and second status information for characterizing the working status of an installation belt, wherein the first status information comprises at least the acceleration and angular velocity of the operator's movement, and the second status information comprises at least the tension information of the seat belt, the closing pressure and the closing angle inside the seat belt buckle; a first determination module, used to determine the seat belt status information of the seat belt based on the first status information; a second determination module, used to determine the seat belt safety information of the seat belt based on the second status information, wherein the seat belt safety information comprises the first safety information and / or the second safety information; a generation module, used to generate warning information of the seat belt based on the seat belt status information and the seat belt safety information.

[0015] According to another aspect of the present invention, the present invention further provides a storage medium storing a computer program, which, when executed by a processor, implements the steps of any of the aforementioned seat belt locking state dynamic perception and warning methods.

[0016] According to another aspect of the present invention, the present invention also provides an electronic device, comprising at least a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program on the memory, the steps of the dynamic perception and warning method of the seat belt locking status as described in any of the above items are implemented.

[0017] The method for dynamic perception and early warning of the seat belt locking status provided by the present invention can realize automatic switching of the seat belt and accurately monitor the closing state of the seat belt buckle by acquiring the safety information of the seat belt and determining the seat belt status information of the seat belt based on the first status information; the seat belt safety information of the seat belt is determined based on the second status information, and the early warning information of the seat belt is generated based on the seat belt status information and the seat belt safety information, which can accurately evaluate the safety risk level and significantly improve the safety and monitoring capabilities of high-altitude operations. In actual use, it can avoid the situation in which high-altitude workers accidentally unfasten all seat belts or habitually unfasten seat belt protection when shifting in violation of regulations, thereby ensuring that workers continue to work under the protection of seat belts and eliminating the risk of falling from heights. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings constituting a part of the present application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 A flowchart showing the steps of the seat belt locking state dynamic perception and warning method provided by the present invention is shown;

[0020] Figure 2 A schematic diagram showing the steps of determining the operating state information of the safety belt based on the first state information provided by the present invention;

[0021] Figure 3 A schematic diagram of determining the first safety information of the seat belt based on the second state information provided by the present invention is shown;

[0022] Figure 4 A schematic diagram of determining the second safety information of the seat belt based on the second state information provided by the present invention is shown;

[0023] Figure 5 A flowchart of the steps of generating operator misoperation warning prompt information based on seat belt status information provided by the present invention;

[0024] Figure 6 A structural block diagram of the seat belt locking state dynamic sensing and warning device provided by the present disclosure;

[0025] Figure 7 A schematic diagram of the structure of an electronic device provided by the present disclosure. DETAILED DESCRIPTION

[0026] The specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings, but are not intended to limit the present disclosure.

[0027] It should be understood that various modifications may be made to the embodiments disclosed herein. Therefore, the above description should not be considered as limiting, but merely as an example of an embodiment. Other modifications within the scope and spirit of the present disclosure will occur to those skilled in the art.

[0028] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the general description of the present disclosure given above and the detailed description of the embodiments given below, serve to explain the principles of the present disclosure.

[0029] These and other characteristics of the present disclosure will become apparent from the following description of a preferred form of embodiment given as a non-limiting example, with reference to the attached drawings.

[0030] It should also be understood that, although the present disclosure has been described with reference to some specific examples, those skilled in the art will be able to realize many other equivalent forms of the present disclosure that have the features described in the claims and are therefore within the scope of protection defined thereby.

[0031] The above and other aspects, features and advantages of the present disclosure will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings.

[0032] Specific embodiments of the present disclosure are described hereinafter with reference to the accompanying drawings; however, it should be understood that the disclosed embodiments are merely examples of the present disclosure, which may be implemented in a variety of ways. Well-known and / or repeated functions and structures are not described in detail to avoid obscuring the present disclosure with unnecessary or redundant details. Therefore, the specific structural and functional details disclosed herein are not intended to be limiting, but merely serve as a basis and representative basis for the claims to teach those skilled in the art to use the present disclosure in a variety of ways with substantially any suitable detailed structure.

[0033] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0034] This specification may use the phrases "in one embodiment," "in another embodiment," "in a further embodiment," or "in other embodiments," all of which may refer to one or more of the same or different embodiments according to the present disclosure.

[0035] The present disclosure is further described below in conjunction with the accompanying drawings and specific embodiments.

[0036] In the process of high-altitude power operations, in order to ensure the safety of high-altitude workers, it is usually adopted to alternate the use of safety belts and backup safety belts, so as to ensure the flexibility of the operation and achieve uninterrupted safety protection throughout the process. However, if there is an operational error in this process, the working safety belt is first unfastened and then the backup safety belt is fastened, which will cause a short period of unprotected state. At the same time, the existing monitoring method detects the hanging state through the cooperation of the D-type buckle of the safety belt and the micro switch, but it cannot determine whether the lock is completely closed or whether the rope tension is appropriate. This leads to the technical problem that the installation belt status monitoring device cannot accurately sense the status of the safety belt in real time and cannot meet the safety requirements of high-altitude operations.

[0037] In order to solve the technical problem in the prior art that the installed belt status monitoring device cannot accurately and real-time sense the status of the safety belt and cannot meet the safety requirements of aerial work, the present invention provides a dynamic sensing and warning method and warning device for the locking status of a safety belt.

[0038] Example 1

[0039] Figure 1 The flowchart of the method for dynamic sensing and warning of the seat belt locking state provided by the present invention is shown as follows: Figure 1 As shown, the seat belt locking state dynamic perception and warning method comprises the following steps:

[0040] S101, obtaining safety information of the seat belt, wherein the seat belt includes a first seat belt and a second seat belt, and the safety information includes first status information for characterizing a working status of an operator and second status information for characterizing a working status of the installation belt, the first status information includes at least an acceleration and an angular velocity of movement of the operator, and the second status information includes at least tension information of the seat belt, a closing pressure inside a seat belt buckle, and a closing angle.

[0041] In this step, safety information of the safety belt is obtained, wherein the safety belt includes a first safety belt and a second safety belt, and the safety information includes first status information for representing the working status of the operator and second status information for representing the working status of the installation belt.

[0042] Specifically, during the operation, the operator switches between the first safety belt and the second safety belt to achieve uninterrupted protection during the operation. During the operation, safety information of the safety belt is obtained, wherein the safety information includes first status information for representing the working status of the operator and second status information for representing the working status of the installation belt.

[0043] The first state information at least includes the acceleration and angular velocity of the operator's movement; the first state information can be measured by an inertial measurement unit arranged inside the safety belt. Of course, the first state information can also be measured by an acceleration sensor and an angular velocity sensor separately arranged outside the safety belt.

[0044] The second state information at least includes the tension information of the seat belt, the closing pressure and closing angle inside the seat belt buckle. In order to facilitate data acquisition, a pressure sensor and an angle sensor are installed inside the seat belt buckle to obtain the buckle closing force and closing angle data. Specifically, the pressure sensor can be installed on the abutment surface of the elastic closing abutment of the buckle.

[0045] In order to obtain more accurate data, the data collected by the pressure sensor and the angle sensor can be filtered using the Kalman filter algorithm. This setting is conducive to obtaining smoother and more accurate force and angle data.

[0046] For example, during the seat belt buckle monitoring process, each data point collected by the pressure sensor and angle sensor contains a 32-bit timestamp; the data processing unit uses a 5-point moving average filter with a filter window size of 50ms to effectively eliminate noise above 20Hz. The abnormality judgment algorithm uses a dual threshold method, with the force threshold set to 200N±10N and the angle threshold set to 5°±0.5°. At the same time, a 1-second duration judgment is introduced to avoid false alarms caused by instantaneous fluctuations.

[0047] The tension information of the seat belt can be obtained through a tension detection device. The tension detection device can use a foil strain gauge with a sensitivity of 2mV / V / ε, arranged in a full-bridge circuit, so as to improve the measurement accuracy. The data acquisition circuit samples at a frequency of 100Hz and converts it into a digital signal through a 24-bit ADC with a resolution of 0.1N. The median filter uses a 5-point window. Such a setting can further effectively remove instantaneous spike interference and improve the accuracy of the data. At the same time, the Kalman filter algorithm can also be used to process the data for noise; wherein, in the Kalman filter algorithm, the state vector contains tension and tension change rate, the observation noise covariance matrix is ​​set according to the strain gauge specifications, and the process noise covariance matrix is ​​determined by experimental optimization.

[0048] S102: Determine seat belt status information of the seat belt based on the first status information.

[0049] After completing the above step S101, in this step, the seat belt status information of the seat belt is determined based on the first status information, wherein the seat belt status information is used to characterize the working status of the first seat belt and the second seat belt during the operation process, and the working status at least includes the stress state of the current stressed seat belt.

[0050] Furthermore, if Figure 2 As shown, the determining the operating status information of the safety belt based on the first status information includes the following steps:

[0051] S201: Activate the electronic switching device based on the first state information and obtain force state data.

[0052] In this step, an electronic switching device is activated based on the first state information, wherein the electronic switching device is used to realize automatic switching between the first safety belt and the second safety belt during the working process of the operator.

[0053] Specifically, during work, workers wear smart safety belts containing inertial measurement units, which collect acceleration and angular velocity data 100 times per second. The acceleration and angular velocity can be used to determine the working status of the worker, for example, whether the worker is in motion or at rest.

[0054] When the acceleration and angular velocity exceed the preset switching threshold, that is, when the operator's position change amplitude exceeds the preset threshold, the electronic switching device is automatically activated, triggering the seat belt switching program and starting to record the current seat belt force state data.

[0055] S202: Determine seat belt status information of the seat belt based on the force status data.

[0056] After the electronic switching device is activated, in this step, the seat belt status information of the seat belt is determined based on the force state data.

[0057] Specifically, the current seat belt stress state data is recorded. The electronic switching device receives the seat belt stress state data and uses a multi-level safety threshold to evaluate the current seat belt stress index. For example, the multi-level safety threshold may include a warning threshold of 2000N, a danger threshold of 3000N, and a critical threshold of 4000N. When the force exceeds the warning threshold but is lower than the danger threshold, a prompt warning is issued; when the force exceeds the danger threshold, the switching program is triggered to switch the stressed seat belt from the first seat belt to the second seat belt, and the second seat belt locking mechanism is activated to ensure that the second seat belt is in a ready state.

[0058] In order to further ensure the safety of the operator during operation, the determining of the seat belt status information of the seat belt based on the first status information further includes:

[0059] The safety status of the operator is evaluated, and the status information of the seat belt is updated based on the evaluation result.

[0060] Specifically, the electronic switching device calls the pre-trained random forest classifier to evaluate the safety status of the operator based on the slope change rate data of the force curve. The input features include the force state of the seat belt, the position change speed and the acceleration. When the evaluation result shows that the operator is in a high-risk state, the seat belt locking command is triggered, and an early warning signal is sent to the monitoring center. The second seat belt is immediately started to achieve seamless switching and ensure uninterrupted protection throughout the process.

[0061] The Kalman filter algorithm uses the state vector [F, v] to represent the seat belt force F and the tension velocity v. The observation equation is established based on the sensor measurement value. The filtered data is used to calculate the slope of the force curve. If the slope change rate exceeds the preset value of 0.5N / s 2, which is judged as a potential fall risk. The random forest classifier uses 1000 decision trees, and the input features include the smoothed seat belt force, position change speed and acceleration.

[0062] The classifier outputs the probability of a safe state. When the probability of a high-risk state exceeds 80%, the first seat belt is locked and the second seat belt is activated. During the switching process, the first and second seat belts are stressed at the same time to ensure a seamless transition, and the total switching time does not exceed 100 milliseconds. The entire process is controlled by an embedded processor with a processing frequency of 1kHz to ensure real-time response. The industrial Internet of Things module maintains real-time communication with the monitoring center, and the data transmission delay is less than 50 milliseconds, ensuring the timeliness of remote monitoring and emergency response.

[0063] S103: Determine seat belt safety information of the seat belt based on the second status information, wherein the seat belt safety information includes first safety information and / or second safety information.

[0064] After completing the above step S102, in this step, the seat belt safety information of the seat belt is determined based on the second state information, wherein the seat belt safety information includes the first safety information and / or the second safety information.

[0065] Further, Figure 3 A flowchart of steps for determining the first safety information of the seat belt based on the second state information provided by the present invention is shown. As shown in the figure, determining the first safety information of the seat belt based on the second state information includes the following steps:

[0066] S301: Determine a locking state of the seat belt based on the second state information.

[0067] After acquiring the second status information, in this step, the locking state of the seat belt is determined based on the second status information.

[0068] Specifically, the buckle closing force and closing angle data are obtained through the pressure sensor and angle sensor located inside the seat belt buckle, and whether the buckle is completely closed is judged according to the preset threshold value, thereby obtaining the locking state of the seat belt, wherein the locking state includes a normal state and an abnormal state.

[0069] In order to improve the accuracy of the data, the Kalman filter algorithm is used to filter the data collected by the pressure sensor and the angle sensor to obtain smoother and more accurate force and angle data. According to the preset force threshold and angle threshold, the fuzzy comprehensive evaluation method is used to determine whether the lock is completely closed. If an abnormal force or angle is detected, that is, the force is lower than the preset force threshold or the angle does not reach the preset angle threshold, it is determined to be an abnormal state.

[0070] In the process of locking state judgment, the historical data can be trained through the support vector machine (SVM) algorithm to obtain the force and angle model when the lock is normally closed, which is used for abnormal judgment of subsequent real-time data.

[0071] In actual application, the seat belt buckle uses a high-precision sensor to monitor the closing state in real time, and each data point contains a 32-bit timestamp. The data processing unit uses a 5-point moving average filter with a filter window size of 50ms to effectively eliminate noise above 20Hz. The abnormality judgment algorithm uses a dual threshold method, with the force threshold set to 200N±10N and the angle threshold set to 5°±0.5°. At the same time, a 1-second duration judgment is introduced to avoid false alarms caused by instantaneous fluctuations.

[0072] S302: Determine first safety information of the seat belt based on the locking state.

[0073] After completing the above step S301, in this step, first safety information of the seat belt is determined based on the locking state, wherein the first safety information includes first warning information of the seat belt.

[0074] Specifically, when it is determined that the buckle is in an abnormal state, an alarm signal is triggered and transmitted to the single-chip microcomputer through the CAN bus protocol. After receiving the alarm signal, the single-chip microcomputer transmits the alarm signal to the ground terminal through the wireless communication module, and sends an early warning message to the ground staff to remind the staff that the seat belt state is abnormal. At the same time, the single-chip microcomputer can also control the buzzer to sound a warning to remind the operator that the seat belt buckle is not completely closed.

[0075] In order to improve safety performance, the status monitoring module checks the abnormal flag every 10ms and uses the state machine to manage different levels of alarms. The decision tree algorithm is used to prioritize the alarm signals, where the emergency level trigger condition is set to force <100N or angle >10°, the warning level trigger condition is set to 100N≤force<200N or 5°<angle≤10°, and the attention level trigger condition is set to 200N≤force<250N or 3°<angle≤5°. By setting different warning levels, different safety tips are provided to operators.

[0076] Further, Figure 4 FIG. 4 shows a flowchart of steps for determining the second safety information of the safety belt based on the second state information provided by the present invention. Figure 4 As shown, determining the second safety information of the seat belt based on the second state information includes the following steps:

[0077] S401: Determine a real-time stress state of the seat belt based on the second state information.

[0078] In this step, the real-time stress state of the seat belt is determined based on the second state information.

[0079] Specifically, the strain gauge is used to collect the rope force data of the safety belt in real time. At the same time, rope parameters such as the elastic modulus, tensile strength, diameter, and length parameters of the rope material are obtained. The safe load range of the rope is determined based on the rope parameters, thereby determining the stress state of the safety belt.

[0080] The sampling frequency of the strain gauge is set to 100Hz, and the data is converted into digital signals by a 24-bit analog-to-digital converter and stored in the buffer of the detection device. At the same time, median filtering is used to remove abnormal values. The data processing unit reads the force data from the buffer, uses the Kalman filter algorithm to process the noise of the data, and combines the pre-acquired rope material, elastic modulus, tensile strength, diameter, and length parameters to calculate the real-time stress state of the rope through Hooke's law. At the same time, the elastic modulus of the rope is adjusted in real time according to the temperature and humidity sensor data.

[0081] In a specific embodiment of the present application, rope parameters are obtained by table lookup method, with a temperature range of -20°C to 50°C, a humidity range of 0% to 100% RH, and a step size of 5°C and 10% RH, respectively. The elastic modulus adjustment range is ±10% of the nominal value. The safe load lookup table is pre-generated based on finite element analysis, considering rope diameters of 5mm to 20mm, lengths of 1m to 100m, and materials including nylon, polyester and wire rope, forming a total of 1000 data points. Real-time stress calculation uses generalized Hooke's law.

[0082] S402: Determine second safety information of the seat belt based on the real-time stress state.

[0083] After completing the above step S401, in this step, second safety information of the safety belt is determined based on the real-time stress state, wherein the second safety information includes second warning information.

[0084] Specifically, according to the rope parameters and stress-strain curve, the safe load range of the rope can be determined by looking up a table, and the current stress state can be compared with the safe load range in real time. According to the position of the stress state relative to the safe load range, the second safety information of the safety belt can be determined. For example, three levels of warning, mild, moderate, and severe, can be set according to the degree of overload, and the warning information, duration, and location information can be compressed and encrypted, and the transmission priority can be set according to the warning level, and sent to the monitoring center through the wireless transmission module.

[0085] Among them, the warning classification is determined according to the relative relationship between the stress state and the safety load. For example, when the stress state is 80%-90% of the safety load, it is a mild warning; when the stress state is 90%-100% of the safety load, it is a moderate warning; when the stress state is greater than 100% of the safety load, it is a severe warning. Data compression uses the lossless compression algorithm LZMA, and the compression ratio can reach 2:1. Encryption uses the AES-256 algorithm, and the key is automatically updated every hour. Wireless transmission uses LoRa technology, the working frequency band is 470MHz, and the transmission distance can reach 5km.

[0086] S104: Determine the seat belt warning information based on the seat belt status information and the seat belt safety information.

[0087] After completing the above step S103, in this step, the warning information of the seat belt is determined based on the operation status information and the seat belt safety information.

[0088] Specifically, the safety belt status information, the first safety information and the second safety information obtained above are summarized, combined with the operator's position and rope information, to accurately assess the safety risk level of personnel and equipment, and intuitively display it through a human-machine interface.

[0089] During the data processing process, for data such as seat belt status information, first safety information and second safety information, the data can be directly displayed, or the original data can be cleaned to obtain a normalized data set; for the normalized data set, a distributed information filtering algorithm is used for time-space fusion to generate a unified state estimation vector; if the state estimation vector exceeds a preset safety threshold, the comprehensive safety risk score is calculated according to the pre-set risk level classification standard to determine the risk level.

[0090] In order to improve the stability of equipment operation, the ground terminal uses a high-performance industrial computer equipped with an Inteli7-10700 processor and 32GB memory to receive multi-source heterogeneous data with a sampling rate of 100Hz in real time. The data preprocessing module uses a 5x5 window median filter to denoise, and z-score standardization normalizes the data to the range of [-1,1]. The distributed information filtering algorithm uses 5 sub-filters, each of which is responsible for different sensor data, and the state vector contains 15 variables. The prediction step of the Kalman filter uses a uniform acceleration motion model, and the measurement noise covariance matrix of the update step is dynamically adjusted according to the sensor accuracy. The Bayesian network contains 20 nodes and uses maximum likelihood estimation to learn parameters. The timestamp alignment uses a sliding window method with a window size of 100ms. The hierarchical analysis method constructs a 4-layer structure, which contains 12 risk factors, and the weights are determined by the 9-point scale method. OpenGL rendering uses Vertex BufferObject technology, rendering 60 frames per second, and the scene contains 1000 polygon models. The human-machine interface uses a 15-inch capacitive touch screen with a resolution of 1920x1080 and supports 10-point touch. Voice control uses an offline speech recognition engine with a vocabulary of 5,000 and a recognition accuracy of 95%.

[0091] In another embodiment of the present application, in order to further improve the safety of the operator, the method further includes generating operator misoperation warning information based on the seat belt status information, Figure 5 The flowchart of the steps of generating operator misoperation warning prompt information based on the seat belt status information provided by the present invention is shown as follows: Figure 5 As shown, the specific steps include:

[0092] S501: Determine a first locking state of the first seat belt and a second locking state of the second seat belt based on the seat belt state information.

[0093] In this step, the locking state of the first seat belt and the locking state of the second seat belt are determined based on the seat belt state information. The working state of the seat belt is obtained by a gyroscope or a tension sensor arranged on the first seat belt and the second seat belt, wherein the acquisition frequency is not less than 20 times per second, and the remote end continuously determines the locking state of the buckles of the two seat belts. During the operation of the operator, at least one of the first seat belt and the second seat belt is in a locked state, thereby ensuring the safety of the operator's operation.

[0094] S502: When the first locking state and the second locking state are both unlocked states, generate and send locking state error prompt information.

[0095] In this step, when the first locking state and the second locking state are both unlocked states, a locking state error prompt message is generated and sent.

[0096] Specifically, when the logical judgment shows that the first locking state and the second locking state are both unlocked, it is considered that the first safety belt and the second safety belt may be in an unlocked state due to an operating error by the operator, and a locking state error prompt message is generated and sent to the operator, wherein the locking state prompt message can be sent to the operator via a buzzer or a signal light.

[0097] Furthermore, after determining the warning information of the seat belt based on the seat belt status information and the seat belt safety information, the method further includes: generating safety management information based on the warning information.

[0098] Specifically, after determining the warning information, safety control information is generated based on the warning information. The knowledge graph technology is used to establish a high-altitude work safety knowledge base, and the reasoning engine is used to provide risk warnings and disposal suggestions for supervisors to assist in the formulation of safety control measures. Among them, the knowledge graph construction module uses the Neo4j graph database and OpenKG toolset to extract key concepts and relationships from multi-source texts such as high-altitude work safety specifications, accident cases, expert experience, etc., to construct a high-altitude work safety knowledge graph containing entity types such as equipment, environment, personnel, risks, measures, etc., and realize the fusion of real-time data and static knowledge through a dynamic graph update algorithm. Based on the constructed knowledge graph, the reasoning engine uses a hybrid reasoning framework combined with rule reasoning and case reasoning to analyze the input multi-dimensional data, and identify potential risk factors and dangerous scenarios by matching similar historical cases and applying predefined safety rules.

[0099] In a specific embodiment of the present application, the Neo4j graph database stores a knowledge graph of 100,000 nodes and 500,000 relationships, and the OpenKG toolset achieves entity recognition and relationship extraction with an accuracy of 80%. The dynamic graph update algorithm is updated every 10 seconds to ensure the timeliness of knowledge. The hybrid reasoning framework contains 500 IF-THEN rules and 1,000 historical cases. The Rete algorithm is used for rule matching and the K nearest neighbor algorithm is used for case retrieval, with an overall accuracy of 85%. The AHP risk assessment model constructs a 4-layer structure, including 20 evaluation indicators, with a consistency ratio CR<0.1. The decision tree generation algorithm uses CART pruning, the tree depth is limited to 5 layers, and the number of leaf nodes does not exceed 50. The human-computer interaction interface supports a 15-inch touch screen and voice control, with a response time of less than 100ms.

[0100] In order to ensure the timeliness of signal transmission between operating personnel and ground monitoring personnel, multimodal information fusion is adopted in the signal transmission process, and multiple transmission methods such as wireless communication, visible light communication and acoustic wave communication are integrated to ensure the reliability of wireless transmission. The optimal transmission channel is adaptively selected according to the degree of environmental interference, and the frequency, bandwidth and transmission power parameters of the wireless signal are obtained. The signal-to-noise ratio and bit error rate of the transmission link are judged, thereby improving the real-time and reliability of information transmission and ensuring that the ground terminal receives equipment status and personnel safety data in a timely manner.

[0101] Among them, the multimodal information acquisition module simultaneously obtains the strength, frequency and bandwidth data of wireless signals (2.4GHz sampling), visible light signals (100MHz sampling) and sound wave signals (44.1kHz sampling), converts analog signals into digital signals through high-speed sampling circuits, and stores them in the buffer. The environmental interference assessment unit uses the wavelet transform algorithm to perform time-frequency analysis on the collected signals, calculates the signal-to-noise ratio (signal power to noise power ratio) and interference intensity of each channel, and combines the pre-set environmental feature library to determine the current environment type and interference level, and continuously updates the environmental feature library through the online learning mechanism. The channel selection optimizer uses a dynamic programming algorithm to calculate the transmission efficiency score of each channel based on the environmental interference assessment results. The state transfer equation considers factors such as signal strength, bandwidth, power consumption and delay. The objective function is to maximize the transmission efficiency and select the optimal transmission channel combination. The adaptive transmission controller dynamically adjusts the frequency, bandwidth and transmission power of the wireless signal according to the selected channel combination, and configures the modulation method of visible light communication and the coding format of sound wave communication. It improves transmission reliability through forward error correction coding, realizes real-time transmission of equipment status and personnel safety data, and uses pseudo-random bit sequences for bit error rate estimation. When switching channels, it adopts data caching and interpolation mechanisms to ensure transmission continuity.

[0102] Specifically, the multimodal information acquisition module uses a high-performance ADC chip. The wireless signal is collected at a sampling rate of 2.4GHz and the quantization accuracy is 16 bits. The visible light signal is collected at a sampling rate of 100MHz and the quantization accuracy is 14 bits. The sound wave signal is collected at a sampling rate of 44.1kHz and the quantization accuracy is 24 bits. The environmental interference assessment unit uses the db4 wavelet basis function to perform a 5-level wavelet decomposition to extract the energy characteristics of each frequency band. The signal-to-noise ratio is calculated using 20*log10(P signal / P noise ) formula, where P signal and P noiseare the root mean square power of the signal and noise, respectively. The environmental feature library initially contains 100 typical scenarios, and online learning and updating are achieved through the K-means clustering algorithm, with the cluster center updated every 24 hours. The state space of the dynamic programming algorithm of the channel selection optimizer is all combinations of {Wi-Fi, 4G, visible light, acoustic wave}, and the state transition cost considers the switching delay (typical value 50ms) and energy consumption (Wi-Fi 100mW, 4G 500mW, visible light 50mW, acoustic wave 10mW). The objective function is to maximize the throughput-to-energy ratio, and the Viterbi algorithm is used to solve the optimal path. The adaptive transmission controller uses adaptive modulation and coding for wireless signals. Visible light communication uses three modulation modes: OOK / PPM / VPPM, and acoustic communication uses FSK / PSK coding. Forward error correction uses LDPC code, and the code rate can be adaptively adjusted between 1 / 2 and 9 / 10. The bit error rate estimation uses an M sequence with a length of 2^15-1, which is estimated once per second. The data cache uses a double buffer mechanism with a buffer size of 1MB, and uses a cubic spline interpolation algorithm to maintain data continuity when switching channels.

[0103] The method for dynamic perception and early warning of the seat belt locking status provided by the present invention can realize automatic switching of the seat belt and accurately monitor the closing state of the seat belt buckle by acquiring the safety information of the seat belt and determining the seat belt status information of the seat belt based on the first status information; the seat belt safety information of the seat belt is determined based on the second status information, and the early warning information of the seat belt is generated based on the seat belt status information and the seat belt safety information, which can accurately evaluate the safety risk level and significantly improve the safety and monitoring capabilities of high-altitude operations. In actual use, it can avoid the situation in which high-altitude workers accidentally unfasten all seat belts or habitually unfasten seat belt protection when shifting in violation of regulations, thereby ensuring that workers continue to work under the protection of seat belts and eliminating the risk of falling from heights.

[0104] Example 2

[0105] In order to better implement the above method, the second aspect of the present disclosure further provides a seat belt locking state dynamic perception warning device, which can be integrated into an electronic device.

[0106] For example, Figure 6 As shown, the early warning device 200 may include: an acquisition module 210, a first determination module 220, a second determination module 230 and a generation module 240, which are specifically as follows:

[0107] (1) An acquisition module 210, wherein the acquisition module 210 is used to acquire safety information of the seat belt, wherein the seat belt includes a first seat belt and a second seat belt, and the safety information includes first status information for representing the working status of the operator and second status information for representing the working status of the installation belt, wherein the first status information includes at least the acceleration and angular velocity of the operator's movement, and the second status information includes at least the tension information of the seat belt, the closing pressure and the closing angle inside the seat belt buckle.

[0108] (2) A first determination module 220, wherein the first determination module 220 is configured to determine seat belt status information of the seat belt based on the first status information.

[0109] (3) A second determination module 230, wherein the second determination module 230 is configured to determine seat belt safety information of the seat belt based on the second state information, wherein the seat belt safety information includes first safety information and / or second safety information.

[0110] (4) A generating module 240, wherein the generating module 240 is used to generate the seat belt warning information based on the seat belt status information and the seat belt safety information.

[0111] Furthermore, the acquisition module 210 includes a detection unit and a correction unit, wherein the detection unit is used to detect the magnetic flux around the seat belt buckle; the correction unit is used to obtain current environmental information, wherein the environmental information includes at least temperature and humidity, and correct the magnetic flux based on the environmental information.

[0112] Further, the first determination module 220 includes a first determination unit and a second determination unit, wherein the first determination unit is used to determine the rate of change of the magnetic flux around the seat belt buckle based on the safety parameter information, and the second determination unit is used to determine the state information of the seat belt buckle based on the rate of change of the magnetic flux.

[0113] Furthermore, the alarm device 200 further includes an updating module, and the updating module is used to update the safety level based on the pressure information of the seat belt buckle engaging groove.

[0114] The update module includes a first acquisition unit, a verification unit and an update unit, wherein the first acquisition unit is used to obtain pressure information of the coupling groove of the seat belt buckle; the verification unit is used to verify the safety level based on the pressure information; and the update unit is used to update the safety level when the pressure information is inconsistent with the safety level.

[0115] The seat belt locking status dynamic perception and warning device provided by the present invention can realize automatic switching of the seat belt and accurately monitor the closing status of the seat belt buckle by acquiring the safety information of the seat belt and determining the seat belt status information of the seat belt based on the first status information; the seat belt safety information of the seat belt is determined based on the second status information, and the warning information of the seat belt is generated based on the seat belt status information and the seat belt safety information, which can accurately evaluate the safety risk level and significantly improve the safety and monitoring capabilities of high-altitude operations. In actual use, it can avoid the situation in which high-altitude workers accidentally unfasten all seat belts or habitually unfasten seat belt protection when shifting in violation of regulations, thereby ensuring that workers continue to work under the protection of seat belts and eliminating the risk of falling from heights.

[0116] Example 3

[0117] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0118] To this end, a third embodiment of the present disclosure provides a storage medium, which is a computer-readable medium and stores a computer program. When the computer program is executed by a processor, the method provided by the embodiment of the present disclosure is implemented, including the following steps S11 to S14:

[0119] S11, obtaining safety information of the safety belt, wherein the safety belt includes a first safety belt and a second safety belt, and the safety information includes first state information for representing a working state of an operator and second state information for representing a working state of the installation belt, wherein the first state information includes at least an acceleration and an angular velocity of movement of the operator, and the second state information includes at least tension information of the safety belt, and a closing pressure and a closing angle inside a safety belt buckle;

[0120] S12, determining seat belt status information of the seat belt based on the first status information;

[0121] S13, determining seat belt safety information of the seat belt based on the second state information, wherein the seat belt safety information includes first safety information and / or second safety information;

[0122] S14, generating the seat belt warning information based on the seat belt status information and the seat belt safety information.

[0123] Furthermore, when the computer program is executed by a processor, other methods provided by any of the above embodiments of the present disclosure are implemented.

[0124] By applying the storage medium provided by the present invention, the safety information of the seat belt is obtained by executing the seat belt locking state dynamic perception and early warning method, and the seat belt state information of the seat belt is determined based on the first state information, so that the automatic switching of the seat belt can be realized and the closing state of the seat belt buckle can be accurately monitored; the seat belt safety information of the seat belt is determined based on the second state information, and the early warning information of the seat belt is generated based on the seat belt state information and the seat belt safety information, so that the safety risk level can be accurately evaluated, and the safety and monitoring capabilities of high-altitude operations can be significantly improved. In actual application, it can avoid the situation in which high-altitude workers accidentally unfasten all seat belts or habitually unfasten seat belt protection when shifting in violation of regulations, thereby ensuring that workers continue to work under the protection of seat belts and eliminating the risk of falling from heights.

[0125] Example 4

[0126] A fourth embodiment of the present disclosure provides an electronic device, such as Figure 7 As shown, the electronic device at least includes a memory 310 and a processor 320. The memory 310 stores a computer program. The processor 320 implements the method provided by any embodiment of the present disclosure when executing the computer program on the memory 310. Exemplarily, the method executed by the electronic device computer program is as follows:

[0127] S21, obtaining safety information of the safety belt, wherein the safety belt includes a first safety belt and a second safety belt, and the safety information includes first state information for representing a working state of an operator and second state information for representing a working state of the installation belt, wherein the first state information includes at least an acceleration and an angular velocity of movement of the operator, and the second state information includes at least tension information of the safety belt, and a closing pressure and a closing angle inside a safety belt buckle;

[0128] S22, determining seat belt status information of the seat belt based on the first status information;

[0129] S23, determining seat belt safety information of the seat belt based on the second state information, wherein the seat belt safety information includes first safety information and / or second safety information;

[0130] S24, generating the seat belt warning information based on the seat belt status information and the seat belt safety information.

[0131] In specific implementation, the acquisition module 210, the first determination module 220, the second determination module 230 and the generation module 240 are all stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.

[0132] By applying the electronic device provided by the present invention, the safety information of the seat belt is obtained by executing the seat belt locking state dynamic perception and early warning method, and the seat belt state information of the seat belt is determined based on the first state information, so that the automatic switching of the seat belt can be realized and the closing state of the seat belt buckle can be accurately monitored; the seat belt safety information of the seat belt is determined based on the second state information, and the early warning information of the seat belt is generated based on the seat belt state information and the seat belt safety information, so that the safety risk level can be accurately evaluated, and the safety and monitoring capabilities of high-altitude operations can be significantly improved. In actual application, it can avoid the situation in which high-altitude workers accidentally unfasten all seat belts or habitually unfasten seat belt protection when shifting in violation of regulations, thereby ensuring that workers continue to work under the protection of seat belts and eliminating the risk of falling from heights.

[0133] The storage medium may be included in the electronic device, or may exist independently without being installed in the electronic device.

[0134] The storage medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: obtains at least two Internet Protocol addresses; sends a node evaluation request including at least two Internet Protocol addresses to a node evaluation device, wherein the node evaluation device selects an Internet Protocol address from the at least two Internet Protocol addresses and returns it; receives the Internet Protocol address returned by the node evaluation device; wherein the obtained Internet Protocol address indicates an edge node in a content distribution network.

[0135] Alternatively, the storage medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device: receives a node evaluation request including at least two Internet Protocol addresses; selects an Internet Protocol address from the at least two Internet Protocol addresses; and returns the selected Internet Protocol address; wherein the received Internet Protocol address indicates an edge node in a content distribution network.

[0136] Computer program code for performing operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the passenger computer, partially on the passenger computer, as a separate software package, partially on the passenger computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the passenger computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0137] It should be noted that the storage medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. Computer readable signal media may also be any storage medium other than computer readable storage media that can send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), or any suitable combination of the above.

[0138] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0139] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a unit does not, in some cases, limit the unit itself.

[0140] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs).

[0141] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0142] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0143] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0144] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

[0145] Multiple embodiments of the present disclosure are described in detail above, but the present disclosure is not limited to these specific embodiments. Those skilled in the art can make various variations and modifications to the embodiments based on the concepts of the present disclosure, and these variations and modifications should all fall within the scope of protection required by the present disclosure.

Claims

1. A method for dynamic sensing and early warning of seat belt locking status, characterized in that: include: Acquiring safety information of the safety belt, wherein the safety belt includes a first safety belt and a second safety belt, and the safety information includes first status information for representing the working status of the operator and second status information for representing the working status of the installation belt, wherein the first status information includes at least the acceleration and angular velocity of the operator's movement, and the second status information includes at least the tension information of the safety belt, the closing pressure and the closing angle inside the safety belt buckle; determining seat belt status information of the seat belt based on the first status information; determining seat belt safety information of the seat belt based on the second state information, wherein the seat belt safety information includes first safety information and / or second safety information; The seat belt warning information is generated based on the seat belt status information and the seat belt safety information.

2. The seat belt locking state dynamic perception and early warning method according to claim 1 is characterized in that: Determining the operating status information of the safety belt based on the first status information includes: activating the electronic switching device based on the first state information and acquiring force state data; Seat belt status information of the seat belt is determined based on the force status data.

3. The seat belt locking state dynamic perception and warning method according to claim 1 is characterized in that: Determining first safety information of the seat belt based on the second state information includes: determining a locking state of the seat belt based on the second state information; First safety information of the seat belt is determined based on the locking state.

4. The seat belt locking state dynamic perception and early warning method according to claim 1 is characterized in that: Determining second safety information of the seat belt based on the second state information includes: determining a real-time stress state of the seat belt based on the second state information; Second safety information of the seat belt is determined based on the real-time stress state.

5. The seat belt locking state dynamic perception and warning method according to claim 1, characterized in that: The method further includes generating operator misoperation warning information based on the seat belt status information, including the following steps: Determining a first locking state of the first seat belt and a second locking state of the second seat belt based on the seat belt state information: When the first locking state and the second locking state are both unlocked states, a locking state error prompt message is generated and sent.

6. The seat belt locking state dynamic perception and warning method according to claim 1 is characterized in that: After determining the seat belt warning information based on the seat belt status information and the seat belt safety information, the method further includes: generating safety management information based on the warning information.

7. The seat belt locking state dynamic perception and warning method according to claim 2, characterized in that: The determining the seat belt status information of the seat belt based on the first status information further includes: The safety status of the operator is evaluated, and the status information of the seat belt is updated based on the evaluation result.

8. A seat belt locking state dynamic sensing and warning device, characterized in that: include: an acquisition module, configured to acquire safety information of the safety belt, wherein the safety belt includes a first safety belt and a second safety belt, and the safety information includes first status information for representing the working status of the operator and second status information for representing the working status of the installation belt, wherein the first status information includes at least the acceleration and angular velocity of the operator's movement, and the second status information includes at least the tension information of the safety belt, the closing pressure and the closing angle inside the safety belt buckle; A first determining module, configured to determine seat belt status information of the seat belt based on the first status information; A second determining module, configured to determine seat belt safety information of the seat belt based on the second state information, wherein the seat belt safety information includes first safety information and / or second safety information; A generating module generates the seat belt warning information based on the seat belt status information and the seat belt safety information.

9. A storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the seat belt locking state dynamic perception and warning method described in any one of claims 1 to 7 are implemented.

10. An electronic device, comprising at least a memory and a processor, wherein a computer program is stored in the memory, wherein: The processor implements the steps of the seat belt locking state dynamic perception and warning method according to any one of claims 1 to 7 when executing the computer program on the memory.

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