Intelligent safety rope control system and control method

Abstract

The present application relates to the technical field of high-altitude operation safety monitoring, and discloses an intelligent safety rope control system and a control method, wherein the working safety sensing data of safety equipment is acquired by a sensing module, then the equipment life state of the safety equipment is evaluated by an intelligent analysis module, and the working safety sensing data is used for working behavior safety evaluation, finally, identity verification is performed by a rope coiling box, an identity verification result is obtained, and a safety determination is made by combining the working behavior evaluation result and the equipment life state result; when the safety determination result meets the preset opening box requirement, the rope coiling box is opened to obtain a safety rope. The present application can avoid the situation that the working personnel does not use the safety equipment in a standard manner due to fear of trouble or lucky psychology, and the working personnel cannot open the rope coiling box to normally work before wearing the safety equipment in a reasonable and compliant manner, thereby standardizing the safety behavior of the working personnel and improving the safety.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of high-altitude operation safety monitoring, and particularly relates to an intelligent safety rope control system and a control method. BACKGROUND

[0002] In high-altitude operation, safety protection is a key link to ensure the life safety of construction personnel and the smooth progress of the project. However, although the design and manufacture of safety equipment have been highly standardized, which can effectively prevent the occurrence of falling accidents, there are still many safety hazards in the actual operation process. Due to the fear of trouble or the lucky psychology of some operation personnel with weak safety awareness, there are cases of non-standard use of safety ropes. Even if safety inspection personnel are added, it is difficult to ensure real-time investigation and protection of safe operation, and due to non-standard training, operation personnel also make mistakes in the use of safety equipment, which leads to the fact that safety equipment cannot play a protective role in the use process.

[0003] In the prior art, only the safety state of safety equipment in the operation process can be detected, but the behavior of non-standard use of safety equipment cannot be timely prevented before formal operation. For operation personnel who do not use safety equipment in a standard manner, they may also successfully complete the operation content in the operation process, which also easily suggests to the operation personnel that non-standard use is also acceptable, causing risk hazards. SUMMARY

[0004] The present application provides an intelligent safety rope control system and a control method, which solves the technical problem that the behavior of non-standard use of safety equipment cannot be timely prevented before formal operation in the prior art, resulting in safety risk hazards.

[0005] The present application provides an intelligent safety rope control system and a control method, which solves the technical problem that the behavior of non-standard use of safety equipment cannot be timely prevented before formal operation in the prior art, resulting in safety risk hazards.

[0006] The sensing module is configured to obtain operation safety sensing data of the safety equipment.

[0007] The intelligent analysis module is configured to process the device life state result and perform operation behavior safety evaluation using the operation safety sensing data.

[0008] The rope box is configured to process an identity verification result, combine the operation behavior evaluation result and the device life state result to perform safety determination, and open the rope box to obtain a safety rope when the safety determination result meets a preset opening requirement.

[0009] Optionally, the intelligent analysis module comprises a threshold comparison module.

[0010] The threshold comparison module comprises a first threshold comparison unit and a second threshold comparison unit.

[0011] the first threshold comparison unit is configured to compare the actual use time data of the safety device with preset device life threshold data to obtain a device life state result;

[0012] the second threshold comparison unit is configured to perform work behavior safety evaluation on the work safety sensing data and the associated first preset safety threshold to obtain a work behavior evaluation result.

[0013] Optionally, the first threshold comparison unit comprises a first comparison subunit, a first processing subunit and a second processing subunit.

[0014] the first comparison subunit is configured to compare the actual use time data of the safety device with preset device life threshold data.

[0015] the first processing subunit is configured to take the failure state as the device life state result when the actual use time data is greater than or equal to the preset device life threshold data.

[0016] the second processing subunit is configured to take the available state as the device life state result when the actual use time data is less than the preset device life threshold data.

[0017] Optionally, the second threshold comparison unit comprises a first mean operation subunit, a first difference operation subunit, a third processing subunit, a fourth processing subunit and a fifth processing subunit.

[0018] the first preset safety threshold comprises a first preset upper limit threshold and a first preset lower limit threshold.

[0019] the first mean operation subunit is configured to perform mean operation on the first preset upper limit threshold and the first preset lower limit threshold to obtain a first safety standard mean.

[0020] the first difference operation subunit is configured to perform difference operation on the work safety sensing data and the first safety standard mean to obtain a first target difference.

[0021] the third processing subunit is configured to take the safe work behavior state as the work behavior evaluation result when the work safety sensing data is greater than or equal to the first preset lower limit threshold and the work safety sensing data is less than or equal to the first preset upper limit threshold.

[0022] The fourth processing subunit is configured to, when the first target difference is greater than a first preset difference threshold and the job safety sensing data is greater than the first preset upper threshold, take an over-limit state as the job behavior evaluation result.

[0023] The fifth processing subunit is configured to, when the first target difference is less than the first preset difference threshold and the job safety sensing data is less than the first preset lower threshold, take an under-limit state as the job behavior evaluation result.

[0024] Optionally, the safety equipment includes a safety helmet, a full-body safety belt, the safety rope, and a fixed joint.

[0025] The job safety sensing data for job behavior safety evaluation includes heart rate and blood pressure sensing data, safety buckle Hall data of the full-body safety belt, inclination angle data between the fixed joint and the full-body safety belt, and hook closed loop state data of the fixed joint.

[0026] Optionally, the disc rope box includes a disc rope box body, an intelligent lock, and a safety judgment module.

[0027] The disc rope box body is provided with the intelligent lock and the safety judgment module.

[0028] The safety rope is arranged in the disc rope box body.

[0029] The intelligent lock is configured to perform identity authentication on a worker to obtain an identity verification result, the identity verification result including verification pass or verification failure.

[0030] The safety judgment module is configured to perform safety judgment according to the identity verification result, in combination with the job behavior evaluation result and the equipment life state result, and open the disc rope box to obtain the safety rope when a safety judgment result meets a preset opening requirement.

[0031] The preset opening requirement specifically includes that the identity verification result is verification pass, the job behavior evaluation result is a safe job behavior state, and the equipment life state result is an available state.

[0032] Optionally, the method further includes:

[0033] The threshold comparison module further includes a third threshold comparison unit.

[0034] The third threshold comparison unit is configured to perform working environment safety evaluation on the job safety sensing data and an associated second preset safety threshold to obtain a working environment evaluation result.

[0035] The disc rope box is also used for adopting the working environment evaluation result to perform early warning determination, and when a first early warning determination result meets a first preset early warning requirement, a buzzer alarm is performed.

[0036] The first preset early warning requirement is specifically that the working environment evaluation result is an over-limit state or an under-limit state.

[0037] Optionally, the third threshold comparison unit comprises a second mean value operator unit, a second difference value operator unit, a sixth processing subunit, a seventh processing subunit and an eighth processing subunit.

[0038] The second preset safety threshold value comprises a second preset upper limit threshold value and a second preset lower limit threshold value.

[0039] The second mean value operator unit is configured to perform mean value operation on the second preset upper limit threshold value and the second preset lower limit threshold value to obtain a second safety standard mean value.

[0040] The second difference value operator unit is configured to perform difference value operation on the job safety sensing data and the second safety standard mean value to obtain a second target difference value.

[0041] The sixth processing subunit is configured to, when the job safety sensing data is greater than or equal to the second preset lower limit threshold value and the job safety sensing data is less than or equal to the second preset upper limit threshold value, take a safety environment state as the working environment evaluation result.

[0042] The seventh processing subunit is configured to, when the second target difference value is greater than a second preset difference value threshold value and the job safety sensing data is greater than the second preset upper limit threshold value, take an over-limit state as the working environment evaluation result.

[0043] The eighth processing subunit is configured to, when the second target difference value is less than the second preset difference value threshold value and the job safety sensing data is less than the second preset lower limit threshold value, take an under-limit state as the working environment evaluation result.

[0044] Optionally, the job safety sensing data for performing working environment safety evaluation comprises the heart rate and blood pressure sensing data, job environment temperature sensing data, job environment wind speed sensing data, acceleration sensing data and tension sensing data between the fixed joint and the safety rope.

[0045] Optionally, the method further comprises:

[0046] The threshold comparison module further comprises a fourth threshold comparison unit.

[0047] The fourth threshold comparison unit is configured to perform equipment integrity safety evaluation on the job safety sensing data and a third preset safety threshold to obtain an equipment integrity evaluation result.

[0048] The disc rope box is further configured to perform early warning determination on the equipment integrity evaluation result, and perform buzzer alarm when a second preset early warning requirement is met by a second early warning determination result.

[0049] The second preset early warning requirement is specifically that the equipment integrity evaluation result is an over-limit state or an under-limit state.

[0050] Optionally, the fourth threshold comparison unit comprises a third mean value operator unit, a third difference value operator unit, a ninth processing subunit, a tenth processing subunit and an eleventh processing subunit.

[0051] The third preset safety threshold comprises a third preset upper limit threshold and a third preset lower limit threshold.

[0052] The third mean value operator unit is configured to perform mean value operation on the third preset upper limit threshold and the third preset lower limit threshold to obtain a third safety standard mean value.

[0053] The third difference value operator unit is configured to perform difference value operation on the job safety sensing data and the third safety standard mean value to obtain a third target difference value.

[0054] The ninth processing subunit is configured to take a safety environment state as the equipment integrity evaluation result when the job safety sensing data is greater than or equal to the third preset lower limit threshold and smaller than or equal to the third preset upper limit threshold.

[0055] The tenth processing subunit is configured to take an over-limit state as the equipment integrity evaluation result when the third target difference value is greater than a third preset difference value threshold and the job safety sensing data is greater than the third preset upper limit threshold.

[0056] The eleventh processing subunit is configured to take an under-limit state as the equipment integrity evaluation result when the third target difference value is smaller than the third preset difference value threshold and the job safety sensing data is smaller than the third preset lower limit threshold.

[0057] Optionally, the job safety sensing data for performing equipment integrity safety evaluation comprises body Hall data of the full-body safety belt and rope Hall data of the safety rope.

[0058] Optionally, the intelligent analysis module further comprises a trend analysis module.

[0059] The trend analysis module is configured to perform trend analysis on the job safety sensing data set within the preset time period of the safety device to obtain a trend evaluation result.

[0060] The disc rope box is further configured to perform early warning determination using the trend evaluation result, and perform buzzer alarm when a third early warning determination result meets a third preset early warning requirement.

[0061] The third preset early warning requirement is specifically that the trend evaluation result is an unsafe trend state.

[0062] Optionally, the trend analysis module includes a preprocessing submodule, a first data type judgment submodule, a first trend index submodule, a second data type judgment submodule, and a trend evaluation result submodule.

[0063] The preprocessing submodule is configured to preprocess the job safety sensing data within the preset time period of the safety device to obtain a job safety sensing data set.

[0064] The first data type judgment submodule is configured to perform mean value operation on the job safety sensing data set to obtain a first mean value when the data type of the job safety sensing data set is not acceleration sensing data.

[0065] The first trend index submodule is configured to perform difference value operation on the first mean value and a mean value data associated with a previous preset time period to obtain a first trend index.

[0066] The second data type judgment submodule is configured to perform acceleration trend analysis operation based on the job safety sensing data set to obtain a second trend index when the data type of the job safety sensing data set is acceleration sensing data.

[0067] The trend evaluation result submodule is configured to perform trend state evaluation on the first trend index and the second trend index and an associated preset trend index threshold interval, respectively, to obtain a trend evaluation result.

[0068] Optionally, the second data type judgment submodule includes a data point acquisition unit, a first matrix unit, a target vector unit, and a second trend index unit.

[0069] The data point acquisition unit is configured to acquire job safety sensing data points arranged in the order of acquisition time for each job safety sensing data within a preset time period when the data type of the job safety sensing data set is acceleration sensing data.

[0070] The job safety sensing data points are arranged with the acquisition time as the horizontal coordinate points and the job safety sensing data as the vertical coordinate points.

[0071] The first matrix unit is configured to construct a first matrix by taking the collection time in the job safety sensing data point as a column vector and taking a preset constant as a supplementary column vector.

[0072] The target vector unit is configured to construct a target vector by taking the job safety sensing data in the job safety sensing data point as a column vector.

[0073] The second trend index unit is configured to determine a second trend index by using the first matrix and the target vector.

[0074] Optionally, the second trend index unit comprises a transposed matrix subunit, a second matrix subunit, a target inverse matrix subunit, a third matrix subunit, a coefficient vector subunit and a slope extraction subunit.

[0075] The transposed matrix subunit is configured to solve a transposed matrix of the first matrix.

[0076] The second matrix subunit is configured to perform multiplication operation on the transposed matrix and the first matrix to obtain a second matrix.

[0077] The target inverse matrix subunit is configured to solve an inverse matrix of the second matrix to obtain a target inverse matrix.

[0078] The third matrix subunit is configured to perform multiplication operation on the transposed matrix and the target vector to obtain a third matrix.

[0079] The coefficient vector subunit is configured to perform multiplication operation on the third matrix and the target inverse matrix to obtain a coefficient vector.

[0080] The slope extraction subunit is configured to extract a target slope from the coefficient vector as a second trend index.

[0081] Optionally, the trend evaluation result submodule comprises a first judgment unit, a second judgment unit, a first trend evaluation unit and a second trend evaluation unit.

[0082] The preset trend index threshold interval comprises a first preset trend index threshold interval and a second preset trend index threshold interval.

[0083] The first judgment unit is configured to judge whether the first trend index is in the first preset trend index threshold interval to generate a first evaluation result.

[0084] The second judgment unit is configured to judge whether the second trend index is in the second preset trend index threshold interval to generate a second evaluation result.

[0085] The first trend assessment unit is configured to determine a safe trend state as the trend assessment result when the first assessment result indicates that the first trend index is within the first preset trend index threshold range and the second assessment result indicates that the second trend index is within the second preset trend index threshold range.

[0086] The second trend assessment unit is configured to determine an unsafe trend state as the trend assessment result when the first assessment result indicates that the first trend index is not within the first preset trend index threshold range or the second assessment result indicates that the second trend index is not within the second preset trend index threshold range.

[0087] Optionally, an alarm buzzer is arranged on the upper end surface of the disc rope box body.

[0088] One end of the safety rope is arranged to pass through one side of the disc rope box body and is provided with a connecting buckle, and the connecting buckle is used to connect the full-body safety belt.

[0089] The disc rope box body is internally provided with a buffer and an adjuster.

[0090] The buffer is arranged at one end close to the connecting buckle, and the buffer is used to be connected in series between the belt of the safety rope and a hanging point to absorb and disperse impact energy during falling.

[0091] The adjuster is arranged at a middle position of the safety rope, and the adjuster is used to control the length of the safety rope.

[0092] The other end of the safety rope is arranged to pass through the other side of the disc rope box body and is provided with the fixed joint.

[0093] A closing magnet is arranged at the connection between the fixed joint and the safety rope to assist the fixed joint in closing or locking.

[0094] An upper end surface of the disc rope box body is provided with a handle.

[0095] Optionally, the smart lock comprises an authentication unit.

[0096] The authentication unit comprises a Bluetooth connection subunit, a verification information receiving subunit, an information comparison subunit, a verification passing subunit and a verification failure subunit.

[0097] The Bluetooth connection subunit is used to search for a mobile device matching the worker and establish a Bluetooth connection.

[0098] The verification information receiving subunit receives the identity verification information of the worker through Bluetooth.

[0099] The information comparison subunit compares the identity authentication information with preset legal user information.

[0100] The verification passing subunit passes the verification as the identity authentication result when the identity authentication information is consistent with the preset legal user information.

[0101] The verification failure subunit fails the verification as the identity authentication result when the identity authentication information is inconsistent with the preset legal user information.

[0102] The second aspect of the present application provides a control method applied to the intelligent safety rope control system, comprising:

[0103] Obtaining operation safety sensing data of the safety device;

[0104] Obtaining device life state results and performing operation behavior safety evaluation by using the operation safety sensing data;

[0105] Obtaining identity authentication results, combining the operation behavior evaluation results and the device life state results to perform safety determination, and opening the disc rope box to obtain the safety rope when the safety determination result meets preset opening box requirements.

[0106] From the above technical solutions, the present application has the following advantages:

[0107] The present application obtains operation safety sensing data of the safety device through the sensing module, then performs device life state evaluation of the safety device through the intelligent analysis module, and performs operation behavior safety evaluation by using the operation safety sensing data, finally performs identity authentication through the disc rope box, obtains identity authentication results, combines the operation behavior evaluation results and the device life state results to perform safety determination, and opens the disc rope box to obtain the safety rope when the safety determination result meets preset opening box requirements. The present application can avoid the situation that the operation personnel do not use the safety device in a standard manner due to fear of trouble or lucky psychology, and cannot open the disc rope box to normally work before the operation personnel wear the safety device in a reasonable and compliant manner, thereby standardizing the safety behavior of the operation personnel, improving the safety, and solving the technical problem that the non-standard use of the safety device cannot be timely prevented before formal operation in the prior art, and thus the safety risk hidden danger exists. BRIEF DESCRIPTION OF DRAWINGS

[0108] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0109] Figure 1 Structure block diagram of the intelligent safety rope control system of the embodiment of the present application;

[0110] Figure 2 Structure diagram of the rope coiling box of the intelligent safety rope control system of the embodiment of the present application;

[0111] Figure 3 Step flow chart of the control method applied to the intelligent safety rope control system of the embodiment of the present application;

[0112] In the drawings, the reference signs have the following meanings:

[0113] 1, fixed joint; 2, safety rope; 3, intelligent lock; 4, handle; 5, buffer; 6, regulator; 7, rope coiling box body; 8, connecting buckle; 9, closing magnet; 10, warning buzzer. DETAILED DESCRIPTION

[0114] The embodiment of the present application provides an intelligent safety rope control system and a control method, and is used for solving the technical problem that the prior art cannot timely prevent the non-standard use of safety equipment before formal operation, thereby causing a safety risk hidden danger.

[0115] In order to make the purposes, characteristics and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the following described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0116] The present application is to standardize the operation habits of the operating personnel, effectively and compliantly use the safety equipment, and cannot normally operate if not correctly worn, and only after meeting the standards can the corresponding tools be used to continue the operation; and the monitoring data is transmitted in real time during the operation to guarantee the safety during the construction process.

[0117] Please refer to Figure 1 and Figure 2 The present application provides an intelligent safety rope control system, which comprises a sensing module, an intelligent analysis module and a rope coiling box in communication with each other.

[0118] The sensing module is used for acquiring operating safety sensing data of the safety equipment.

[0119] The intelligent analysis module is used for processing the equipment life state result and performing operating behavior safety evaluation by using the operating safety sensing data.

[0120] Disclosed is a disc rope box for processing authentication results, combining operation behavior assessment results and device life state results to make a safety judgment, and when the safety judgment result meets preset opening box requirements, the disc rope box is opened to obtain a safety rope 2.

[0121] Safety equipment refers to various equipment and devices used to protect the lives of workers in aerial operations, prevent accidental falls, or reduce the harm of falling. These devices ensure the safety of workers in dangerous environments by providing physical protection, connection and fixation, and dynamic monitoring functions.

[0122] Operation safety sensing data refers to various types of data related to the safety of workers and the working environment obtained in real time through sensors.

[0123] Device life state result refers to the conclusion obtained by comparing the actual use time of the safety equipment with the preset device life threshold data, which is used to determine whether the device is still in a usable state.

[0124] Operation behavior safety assessment refers to the process of systematically evaluating the behavior of workers by collecting and analyzing operation safety sensing data of safety equipment to determine whether it meets the preset safety standards or thresholds, thereby identifying potential risks and taking appropriate measures. The purpose of operation behavior safety assessment is to ensure that workers comply with safety regulations during operation to prevent accidents or injuries caused by improper behavior.

[0125] Authentication result refers to the conclusion obtained after the user's identity is verified by the smart lock 3, which is used to determine whether the user has access or operation rights. The authentication result is based on the comparison of the user-provided identity information (such as fingerprint, password, facial recognition, IC card, etc.) with the authorized information stored in the smart lock 3, and finally determines whether the user passes the verification.

[0126] Safety judgment refers to the process of systematically judging the overall safety by comprehensively analyzing the authentication result, operation behavior assessment result and device life state result. The purpose of safety judgment is to assess whether the current working environment, personnel behavior and device state meet the preset opening box requirements (i.e. safety standards), thereby deciding whether to open the disc rope box to obtain the safety rope 2 and allow the work to continue.

[0127] Preset opening box requirements refer to the safety access conditions set by the system for the identity of the worker, the state of the device and the operation behavior before opening the disc rope box. Only when all conditions are met, the system will allow the disc rope box to be opened to obtain the safety rope 2, thereby ensuring the safety and standardization of the operation.

[0128] In the embodiment of the present application, the operation safety sensing data of the safety device is acquired by the sensing module, then the device life state of the safety device is evaluated by the intelligent analysis module, the operation behavior safety is evaluated by the operation safety sensing data, finally the identity verification result is obtained by processing the identity verification, and the operation behavior evaluation result and the device life state result are combined to make a safety judgment, when the safety judgment result meets the preset opening box requirement, the disc rope box is opened to obtain the safety rope 2. The situation of non-standard use of safety devices due to fear of trouble or lucky psychology of the operator can be avoided, the disc rope box cannot be opened for normal work before the operator wears the safety device reasonably and in compliance, the safety behavior of the operator is standardized, the safety is improved, and the technical problem that the non-standard use of safety devices cannot be prevented in time before formal operation in the prior art, and the safety risk hidden danger exists is solved.

[0129] Please refer to Figure 1 and Figure 2 The present application provides an intelligent safety rope control system, and the intelligent analysis module comprises a threshold comparison module.

[0130] The threshold comparison module comprises a first threshold comparison unit and a second threshold comparison unit.

[0131] The first threshold comparison unit is configured to compare the actual use time data of the safety device obtained in advance with the preset device life threshold data to obtain a device life state result.

[0132] The second threshold comparison unit is configured to evaluate the operation behavior safety by comparing the operation safety sensing data with the associated first preset safety threshold to obtain an operation behavior evaluation result.

[0133] The first threshold comparison unit comprises a first comparison subunit, a first processing subunit and a second processing subunit.

[0134] The first comparison subunit is configured to compare the actual use time data of the safety device obtained in advance with the preset device life threshold data.

[0135] The first processing subunit is configured to take the failure state as the device life state result when the actual use time data is greater than or equal to the preset device life threshold data.

[0136] The second processing subunit is configured to take the available state as the device life state result when the actual use time data is less than the preset device life threshold data.

[0137] It should be noted that the safety device in the system is evaluated for the device life state, and the life state of the safety device represents the availability and safety of the device under the current use condition. When the device fails or is unavailable, if it is continued to be used, potential safety risks may be caused. Therefore, the device life state is taken as one of the indicators for opening the disc rope box. This mechanism effectively solves the safety hazard problem caused by device aging or overuse in the prior art, and significantly improves the operation safety.

[0138] For ease of understanding, a specific application example is provided below:

[0139] The safety rope 2 of a certain work site has a preset life of 1000 hours. The device life state of the safety rope 2 is determined through the first comparison subunit, the first processing subunit and the second processing subunit.

[0140] The first comparison subunit is used to obtain the actual use time data of the safety rope 2 (for example, 800 hours) and compare it with the preset device life threshold data (1000 hours).

[0141] If the actual use time of the safety rope 2 is 1200 hours (greater than 1000 hours), the first processing subunit will take the failure state as the device life state result. At this time, the system determines that the safety rope 2 has exceeded the service life and cannot be used continuously.

[0142] If the actual use time of the safety rope 2 is 800 hours (less than 1000 hours), the second processing subunit will take the available state as the device life state result. At this time, the system determines that the safety rope 2 is still in the available state and can be used continuously.

[0143] Through the cooperative work of the first comparison subunit and the two processing subunits, the system can accurately determine the device life state of the safety rope 2, ensure that the device is within the safe use range, and avoid safety hazards caused by device aging.

[0144] Please refer to Figure 1 and Figure 2 , the present application provides a kind of intelligent safety rope control system, second threshold comparison unit includes first mean operation subunit, first difference operation subunit, third processing subunit, fourth processing subunit and fifth processing subunit;

[0145] The first preset safety threshold includes a first preset upper limit threshold and a first preset lower limit threshold.

[0146] It should be noted that the first preset upper limit threshold and the first preset lower limit threshold are set. These thresholds should be determined according to specific safety standards, device specifications and actual application requirements.

[0147] In specific implementation:

[0148] T lower1 ≤ safe range ≤ T upper1

[0149] a first mean operator unit, configured to perform mean operation by using a first preset upper limit threshold and a first preset lower limit threshold to obtain a first safety standard mean;

[0150] In a specific implementation, the conversion is in the form of formula encapsulation:

[0151] T middle1 = (T upper1 + T lower1 ) / 2

[0152] In the formula, T middle1 represents the first safety standard mean, T upper1 represents the first preset upper limit threshold, and T lower1 represents the first preset lower limit threshold.

[0153] a first difference operator unit, configured to perform difference operation by using the job safety sensing data and the first safety standard mean to obtain a first target difference;

[0154] In a specific implementation, the conversion is in the form of formula encapsulation:

[0155] D1 = M1 - T middle1

[0156] In the formula, D1 represents the first target difference, and M1 represents the job safety sensing data for job behavior safety evaluation.

[0157] a third processing subunit, configured to, when the job safety sensing data is greater than or equal to the first preset lower limit threshold and the job safety sensing data is less than or equal to the first preset upper limit threshold, take a safe job behavior state as the job behavior evaluation result;

[0158] In a specific implementation:

[0159] T lower1 ≤ M1 ≤ T upper1

[0160] a fourth processing subunit, configured to, when the first target difference is greater than a first preset difference threshold and the job safety sensing data is greater than the first preset upper limit threshold, take an out-of-limit state as the job behavior evaluation result;

[0161] In a specific implementation:

[0162] D1 > 0 and M1 > T upper1

[0163] In the formula, 0 represents the first preset difference threshold.

[0164] In the embodiment of the present application, when the first target difference is greater than the first preset difference threshold, and the work safety sensing data is greater than the first preset upper threshold, it indicates that it is in a dangerous over-high state, and therefore, the over-limit state is taken as the work behavior evaluation result.

[0165] The fifth processing subunit is configured to take the under-limit state as the work behavior evaluation result when the first target difference is less than the first preset difference threshold, and the work safety sensing data is less than the first preset lower threshold.

[0166] In a specific implementation, the first target difference is a difference between a first target value and a first actual value.

[0167] D1<0 and M1<T lower1

[0168] In the embodiment of the present application, when the first target difference is less than the first preset difference threshold, and the work safety sensing data is less than the first preset lower threshold, it indicates that it is in a dangerous over-low state, and therefore, the under-limit state is taken as the work behavior evaluation result.

[0169] It is worth mentioning that before the work behavior safety evaluation, the work safety sensing data needs to be filtered, noise and outliers need to be removed, and unit conversion or data standardization needs to be performed to meet the requirements of subsequent comparison.

[0170] The safety equipment includes a safety helmet, a full-body safety belt, a safety rope 2, and a fixed joint 1.

[0171] It should be noted that the safety equipment includes but is not limited to a safety helmet, a full-body safety belt, a safety rope 2, a fixed joint 1, etc., and in the embodiment of the present application, the above four kinds of safety equipment are taken as examples for explanation and description.

[0172] The work safety sensing data for work behavior safety evaluation includes heart rate and blood pressure sensing data, safety buckle Hall data of the full-body safety belt, inclination data between the fixed joint 1 and the full-body safety belt, and hook closed loop state data of the fixed joint 1.

[0173] It is worth mentioning that in the second threshold comparison unit, several kinds of data involved in the work safety sensing data for work behavior safety evaluation are processed respectively, which can be understood as one kind of data corresponding to one work behavior evaluation result, therefore, the second threshold comparison unit will generate four kinds of work behavior evaluation results, and one of the conditions in the following preset unpacking requirements is that the work behavior evaluation result is a safe work behavior state, specifically, the four kinds of work behavior evaluation results are all safe work behavior states.

[0174] Further, the sensing module is configured to obtain sensing data obtained by the safety helmet, the full-body safety belt, the safety rope 2, and the fixed joint 1 through the sensor.

[0175] It is worth mentioning that in the sensing module, the safety helmet is provided with sensors, which are sensors for measuring heart rate, blood pressure and environmental temperature, and are arranged at the hat circumference to facilitate contact with the skin of the worker to obtain accurate sensing data.

[0176] By measuring the heart rate and blood pressure, the state of the worker wearing the safety helmet and the body state during the work are obtained. When the heart rate and blood pressure are abnormal during the work, the worker is prone to make mistakes in high-altitude work, which increases the probability of danger. When the daily maximum temperature reaches 40°C or above, outdoor open high-altitude work should be stopped on that day, or when the daily maximum temperature reaches 37°C or above and 40°C or below, the system starts timing, and the outdoor open work time of the worker should not exceed 6 hours, and the continuous work time should not exceed the standard. When the temperature is lower than -20°C, the performance of the equipment, the strength of the material, etc. may be affected, which increases the danger of work, and outdoor open high-altitude work should be stopped on that day.

[0177] Therefore, the heart rate and blood pressure can be measured by using a photoelectric sensor (PPG), and the heart rate and blood pressure sensing data can be obtained by the photoelectric sensor (PPG).

[0178] It is worth mentioning that the sensors provided on the full-body harness are used to detect the safety buckle state, the work environment wind speed, the acceleration and the integrity of the harness.

[0179] The safety buckle of the full-body harness uses a Hall effect sensor. The Hall effect sensor is a magnetic sensor based on the Hall effect, which can convert the change of the magnetic field into the change of the output voltage. Different groups of safety buckles are provided with different magnets, and the correct group of safety buckles is confirmed by converting the magnetic field generated by the normal use of the safety buckle into an electrical signal. Since the electrical signals converted by different magnetic fields are usually different, the differences are caused by the strength, direction, distribution and change rate of the magnetic field, etc. Therefore, the magnets with different magnetic fields can be controlled in the safety buckle. When the safety buckle matches the correct electrical signal, the safety buckle that is different from the correct electrical signal is unqualified.

[0180] Therefore, the Hall data of the safety buckle of the full-body harness are obtained by the Hall effect sensor.

[0181] It is worth mentioning that the sensors provided on the fixed joint 1 are used to obtain the tension, the relative height of the fixed joint 1 and the full-body harness, and the hook closed loop state.

[0182] An inclination sensor is arranged on the fixed joint 1 and the full-body safety belt respectively, the inclination sensor is a sensor capable of measuring the inclination angle or attitude of an object relative to the direction of gravity, the measurement accuracy is high, and the requirements of angle measurement in various application scenarios can be met, when the fixed joint 1 is hung below the height of the full-body safety belt, an alarm will be sent in time, the sensor is arranged to avoid the situation that the worker uses low hanging in work.

[0183] Therefore, the inclination angle data between the fixed joint 1 and the full-body safety belt is obtained through the inclination sensor.

[0184] It is worth mentioning that a closing magnet 9 is installed on the hook of the fixed joint 1, and a Hall sensor is arranged near the closing position, when the closing magnet 9 approaches and resets, the electrical signal output by the Hall sensor will change, so as to detect the closing of the hook, and the device is arranged to avoid the situation that the worker does not operate standardly when installing the fixed joint 1, which causes the fixed joint 1 to be not firmly installed and causes danger.

[0185] Therefore, the closing loop state data of the hook of the fixed joint 1 is obtained through the cooperation between the closing magnet 9 installed on the hook of the fixed joint 1 and the Hall sensor arranged near the closing position.

[0186] The rope disc box comprises a rope disc box body 7, an intelligent lock 3 and a safety judgment module;

[0187] The rope disc box body 7 is provided with the intelligent lock 3 and the safety judgment module;

[0188] The rope disc box body 7 is provided with the intelligent lock 3 and the safety judgment module;

[0189] The intelligent lock 3 is used for identity authentication of the worker, and an identity verification result is obtained, the identity verification result includes verification pass or verification failure;

[0190] The safety judgment module is used for safety judgment according to the identity verification result, the work behavior evaluation result and the equipment life state result, when the safety judgment result meets the preset opening box requirement, the rope disc box is opened to obtain the safety rope 2;

[0191] The preset opening box requirement is that the identity verification result is verification pass, the work behavior evaluation result is safe work behavior state, and the equipment life state result is available state.

[0192] In the embodiment of the present application, the disc rope box body 7 is the core bearing structure, and the safety rope 2 is arranged inside the disc rope box body 7 to provide safety protection for the operating personnel. The intelligent lock 3 and the safety judgment module are integrated outside the disc rope box body 7, and are respectively used for identity authentication and safety judgment. The intelligent lock 3 is used for identity authentication of the operating personnel, and the operation permission of the operating personnel is confirmed through fingerprint recognition, password input or IC card verification and the like. When the identity authentication of the operating personnel by the intelligent lock 3 is passed, the verification is passed as the identity authentication result. When the identity authentication of the operating personnel by the intelligent lock 3 is not passed, the verification is failed as the identity authentication result. The safety judgment module is used for safety judgment by comprehensively considering the identity authentication result, the operation behavior evaluation result and the equipment life state result. The identity authentication result must be verification passed, the operation behavior evaluation result must be the safe operation behavior state (i.e. the operation behavior conforms to the preset safety specification, and there is no illegal operation or potential risk), and the equipment life state result must be the available state (i.e. the equipment use time does not exceed the preset life threshold, and the equipment performance is normal). When the above conditions are all met, the safety judgment module judges that the preset opening box requirement is met, and the disc rope box is automatically opened to obtain the safety rope 2. Otherwise, the disc rope box remains in the closed state and a warning prompt is issued.

[0193] The preset opening box requirement is the safety access condition for opening the disc rope box, and specifically includes: the identity authentication result is verification passed; the operation behavior evaluation result is the safe operation behavior state; and the equipment life state result is the available state.

[0194] Only when the above three conditions are met at the same time, the system will allow the disc rope box to be opened, to ensure the safety and standardization of the operation.

[0195] As a preferred embodiment, the intelligent lock 3 includes an authentication unit;

[0196] The authentication unit includes a Bluetooth connection subunit, a verification information receiving subunit, an information comparison subunit, a verification pass subunit and a verification failure subunit;

[0197] The Bluetooth connection subunit is used for searching the mobile device matched with the operating personnel and establishing Bluetooth connection;

[0198] The verification information receiving subunit receives the identity authentication information of the operating personnel through Bluetooth;

[0199] The information comparison subunit compares the identity authentication information with the preset legal user information;

[0200] The verification pass subunit takes the verification passed as the identity authentication result when the identity authentication information is consistent with the preset legal user information;

[0201] The verification failure subunit takes the verification failed as the identity authentication result when the identity authentication information is inconsistent with the preset legal user information.

[0202] The intelligent lock 3 is provided with an authentication unit;

[0203] The authentication unit is used for identity authentication of the operating personnel, and is realized by an improved Bluetooth unlocking algorithm, and the specific implementation steps are as follows:

[0204] 1. The Bluetooth module in the unlocking device is initialized and set, including setting the Bluetooth name, visibility and communication parameters;

[0205] 2. The mobile device (such as a mobile phone) of the user searches for the nearby Bluetooth device, finds the unlocking device and pairs; after successful pairing, the Bluetooth connection is established;

[0206] 3. The mobile device sends data containing identity authentication information to the unlocking device through Bluetooth, such as user account, password, encrypted token, etc.

[0207] 4. The unlocking device receives the identity authentication information from the mobile device, decrypts (if encrypted) and verifies the received information, and compares it with the locally stored legal user information;

[0208] 5. According to the verification result, make an unlocking decision, if the verification is passed, send an identity authentication pass instruction.

[0209] The intelligent lock 3 is also provided with an unlocking unit.

[0210] The unlocking unit determines whether to unlock according to the device life state result obtained by the first threshold comparison unit, the operating behavior evaluation result obtained by the second threshold comparison unit and the identity authentication result of the authentication unit, and the intelligent lock 3 is opened when the preset opening box requirement is that the identity authentication result is verified, the operating behavior evaluation result is a safe operating behavior state, and the device life state result is an available state. One of the three or none of them meets the requirements, and the intelligent lock 3 cannot be opened.

[0211] The present application monitors and predicts the working environment in real time during the operation, and reminds in real time in the over-limit state or under-limit state, and avoids the risk factors caused by the working environment in advance.

[0212] Please refer to Figure 1 and Figure 2 , the intelligent safety rope control system provided by the present application further comprises:

[0213] The threshold comparison module further comprises a third threshold comparison unit;

[0214] The third threshold comparison unit is used for working environment safety evaluation by using the operating safety sensing data and the associated second preset safety threshold, and obtaining the working environment evaluation result;

[0215] The rope coiling box is also used for early warning determination based on the working environment assessment result, and when the first early warning determination result meets the first preset early warning requirement, a buzzer alarm is performed.

[0216] The first preset early warning requirement is specifically that the working environment assessment result is an over-limit state or an under-limit state.

[0217] It should be noted that after the above work behavior safety assessment, real-time monitoring is also performed in the construction work project, and therefore, the working environment safety assessment needs to be performed.

[0218] The third threshold comparison unit includes a second mean operator unit, a second difference operator unit, a sixth processing subunit, a seventh processing subunit, and an eighth processing subunit.

[0219] The second preset safety threshold includes a second preset upper limit threshold and a second preset lower limit threshold.

[0220] It should be noted that the second preset upper limit threshold and the second preset lower limit threshold are set, and these thresholds should be determined according to specific safety standards, equipment specifications, and actual application requirements.

[0221] In specific implementation, the following formula is used:

[0222] T lower2 ≤ safety range ≤ T upper2

[0223] The second mean operator unit is configured to perform mean operation using the second preset upper limit threshold and the second preset lower limit threshold to obtain a second safety standard mean.

[0224] In specific implementation, the following formula is used:

[0225] T middle2 = (T upper2 + T lower2 ) / 2

[0226] In the formula, T middle2 represents the second safety standard mean, T upper2 represents the second preset upper limit threshold, and T lower2 represents the second preset lower limit threshold.

[0227] The second difference operator unit is configured to perform difference operation using the work safety sensing data and the second safety standard mean to obtain a second target difference.

[0228] In specific implementation, the following formula is used:

[0229] D2 = M2 - T middle2

[0230] In the formula, D2 represents a second target difference value, and M2 represents job safety sensing data for safety assessment of a working environment.

[0231] The sixth processing subunit is configured to, when the job safety sensing data is greater than or equal to a second preset lower threshold and less than or equal to a second preset upper threshold, take a safety environment state as the working environment assessment result.

[0232] In a specific implementation, the second preset lower threshold and the second preset upper threshold are determined according to a working environment safety assessment requirement.

[0233] T lower2 ≤M2≤T upper2

[0234] The seventh processing subunit is configured to, when the second target difference value is greater than a second preset difference threshold and the job safety sensing data is greater than the second preset upper threshold, take an over-limit state as the working environment assessment result.

[0235] In a specific implementation, the second preset difference threshold is determined according to a working environment safety assessment requirement.

[0236] D2>0 and M2>T upper2

[0237] In the formula, 0 represents the second preset difference threshold.

[0238] In the embodiment of the present application, when the second target difference value is greater than the second preset difference threshold and the job safety sensing data is greater than the second preset upper threshold, it indicates that the working environment is in a dangerous over-high state, and therefore the over-limit state is taken as the working environment assessment result.

[0239] The eighth processing subunit is configured to, when the second target difference value is less than the second preset difference threshold and the job safety sensing data is less than a second preset lower threshold, take an under-limit state as the working environment assessment result.

[0240] In a specific implementation, the second preset lower threshold is determined according to a working environment safety assessment requirement.

[0241] D2<0 and M2<T lower2

[0242] In the embodiment of the present application, when the second target difference value is less than the second preset difference threshold and the job safety sensing data is less than the second preset lower threshold, it indicates that the working environment is in a dangerous under-low state, and therefore the under-limit state is taken as the working environment assessment result.

[0243] It is worth mentioning that, before the safety assessment of the working environment, the job safety sensing data needs to be filtered, noise and outliers need to be removed, and unit conversion or data standardization needs to be performed, so as to meet the requirements of subsequent comparison.

[0244] The work safety sensing data for the work environment safety assessment includes heart rate and blood pressure sensing data, work environment temperature sensing data, work environment wind speed sensing data, acceleration sensing data, and tension sensing data between the fixed joint 1 and the safety rope 2.

[0245] It is worth mentioning that in the third threshold comparison unit, several data involved in the work safety sensing data for the work environment safety assessment are processed respectively, which can be understood as one data corresponding to one work environment assessment result. Therefore, the third threshold comparison unit generates five work environment assessment results. In the condition in the first preset warning requirement, the work environment assessment result is in an over-limit state or an under-limit state, specifically, any one of the five work environment assessment results is in an over-limit state or an under-limit state.

[0246] It is worth mentioning that the heart rate and blood pressure sensing data are obtained by using a photoelectric sensor (PPG).

[0247] It is worth mentioning that the work environment temperature sensing data can be measured by using an infrared temperature sensor, a thermocouple sensor, or an integrated temperature sensor, and the infrared temperature sensor is preferred.

[0248] It is worth mentioning that a hot-wire anemometer is arranged at any position of the full-body safety belt. A thin wire or film heated by an electric current is exposed to the airflow. The flow of the airflow carries away the heat of the hot wire, causing the temperature of the hot wire to drop and the resistance to change.

[0249] By measuring the change of the hot-wire resistance, the speed of the airflow can be calculated, and the safety state of the aerial work can be determined according to the wind speed.

[0250] When the wind force of the gust reaches 5 or above (wind speed 8.0 m / s or above), the work should generally be suspended. In special high-altitude work, such as strong wind high-altitude work, work should be prohibited when encountering 6-grade gusts and above (wind speed 10.8 m / s or above).

[0251] Therefore, the hot-wire anemometer is arranged to obtain the work environment wind speed sensing data.

[0252] It is worth mentioning that a MEMS acceleration sensor is arranged at any position of the full-body safety belt. The MEMS acceleration sensor is manufactured based on micro-electro-mechanical system (MEMS) technology, has small volume, light weight, and low cost, and can detect the acceleration of the ascending or descending of the work personnel in the aerial work.

[0253] Since the work personnel controls the equipment to move up and down in the aerial work, the speed of the equipment also affects the safety of the equipment. An acceleration safety threshold is set, and an alarm is triggered when the value of the acceleration sensor exceeds the safety threshold.

[0254] Therefore, the acceleration sensing data is acquired through the MEMS acceleration sensor.

[0255] It is worth mentioning that the resistance strain sensor is arranged at the connection between the fixed joint 1 and the safety rope 2 to obtain the tension, since the different corresponding tension ranges of the safety rope 2 are different, the safety threshold is set according to the tension range of the rope in the disc rope box, when the tension value detected by the resistance strain sensor is greater than the safety threshold, the alarm is timely sent, and the sensor is arranged to avoid exceeding the maximum tension range of the rope.

[0256] Therefore, the tension sensing data between the fixed joint 1 and the safety rope 2 is acquired through the resistance strain sensor.

[0257] Referring to Figure 1 and Figure 2 The intelligent safety rope control system provided by the application further comprises:

[0258] The threshold comparison module further comprises a fourth threshold comparison unit;

[0259] The fourth threshold comparison unit is configured to perform equipment integrity safety evaluation on the operation safety sensing data and the associated third preset safety threshold, and obtain an equipment integrity evaluation result.

[0260] The disc rope box is further configured to perform early warning judgment on the equipment integrity evaluation result, and perform buzzer alarm when the second preset early warning requirement is met.

[0261] The second preset early warning requirement is specifically that the equipment integrity evaluation result is an over-limit state or an under-limit state.

[0262] It should be noted that after the operation behavior safety evaluation is performed, real-time monitoring is also performed in the construction operation project, and therefore, the equipment integrity safety evaluation needs to be performed.

[0263] The fourth threshold comparison unit comprises a third mean value operator unit, a third difference value operator unit, a ninth processing subunit, a tenth processing subunit and an eleventh processing subunit.

[0264] The third preset safety threshold comprises a third preset upper limit threshold and a third preset lower limit threshold.

[0265] It should be noted that the third preset upper limit threshold and the third preset lower limit threshold are set, and these thresholds should be determined according to specific safety standards, equipment specifications and actual application requirements.

[0266] In specific implementation, the third preset upper limit threshold and the third preset lower limit threshold are determined according to the safety standards, the equipment specifications and the actual application requirements.

[0267] T lower3 ≤ safety range ≤ T upper3

[0268] a third mean operator unit configured to perform mean operation by using a third preset upper limit threshold and a third preset lower limit threshold to obtain a third safety standard mean;

[0269] In a specific implementation, the conversion is in a form of formula encapsulation.

[0270] T middle3 = (T upper3 + T lower3 ) / 2

[0271] In the formula, T middle3 represents the third safety standard mean, T upper3 represents the third preset upper limit threshold, and T lower3 represents the third preset lower limit threshold.

[0272] a third difference operator unit configured to perform difference operation by using the job safety sensing data and the third safety standard mean to obtain a third target difference;

[0273] In a specific implementation, the conversion is in a form of formula encapsulation.

[0274] D3 = M3 - T middle3

[0275] In the formula, D3 represents the third target difference, and M3 represents the job safety sensing data used for the equipment integrity safety assessment.

[0276] a ninth processing subunit configured to, when the job safety sensing data is greater than or equal to the third preset lower limit threshold and the job safety sensing data is less than or equal to the third preset upper limit threshold, regard a safety environment state as the equipment integrity assessment result;

[0277] In a specific implementation:

[0278] T lower3 ≤ M3 ≤ T upper3

[0279] a tenth processing subunit configured to, when the third target difference is greater than a third preset difference threshold and the job safety sensing data is greater than the third preset upper limit threshold, regard an overrun state as the equipment integrity assessment result.

[0280] In a specific implementation:

[0281] D3 > 0 and M3 > T upper3

[0282] In the formula, 0 represents the third preset difference threshold.

[0283] In the embodiment of the present application, when the third target difference is greater than the third preset difference threshold, and the work safety sensing data is greater than the third preset upper threshold, it indicates that it is in a dangerous over-high state, therefore, the over-limit state is taken as the equipment integrity evaluation result.

[0284] The eleventh processing subunit is configured to take the under-limit state as the equipment integrity evaluation result when the third target difference is less than the third preset difference threshold, and the work safety sensing data is less than the third preset lower threshold.

[0285] In the specific implementation, the first threshold comparison unit is configured to take the over-limit state as the equipment integrity evaluation result when the first target difference is greater than the first preset difference threshold, and the work safety sensing data is greater than the first preset upper threshold.

[0286] D3<0 and M3<T lower3

[0287] In the embodiment of the present application, when the third target difference is less than the third preset difference threshold, and the work safety sensing data is less than the third preset lower threshold, it indicates that it is in a dangerous over-low state, therefore, the under-limit state is taken as the equipment integrity evaluation result.

[0288] It is worth mentioning that before the equipment integrity safety evaluation, the work safety sensing data needs to be filtered, noise and abnormal values need to be removed, and unit conversion or data standardization needs to be performed to meet the requirements of subsequent comparison.

[0289] The work safety sensing data for the equipment integrity safety evaluation includes the body of the full-body safety belt Hall data and the rope body Hall data of the safety rope 2.

[0290] It is worth mentioning that in the fourth threshold comparison unit, several kinds of data involved in the work safety sensing data for the equipment integrity safety evaluation are processed respectively, which can be understood as one kind of data corresponding to one equipment integrity evaluation result, therefore, the fourth threshold comparison unit will generate two kinds of equipment integrity evaluation results, and the condition in the above-mentioned second preset warning requirement is that the equipment integrity evaluation result is an over-limit state or an under-limit state, specifically, any one of the two kinds of equipment integrity evaluation results is an over-limit state or an under-limit state.

[0291] It is worth mentioning that the multi-strand thin copper wire twisted wire is embedded in the edge of the body of the full-body safety belt in series, which increases the flexibility of the wire and is more suitable for use in some occasions that need to be moved or bent frequently, and is more durable for the folding characteristics of the full-body safety belt.

[0292] The set voltage is less than 8V, and the Hall voltage sensor is externally connected, which can be used to detect the voltage of weak direct current.

[0293] When the body is complete and the edge is not damaged, the multi-strand thin copper wire twisted wire is in a complete state, and the Hall voltage sensor can sense the voltage when powered on.

[0294] When the edge of the belt body is damaged, the twisted copper wire in series is broken, the Hall voltage sensor cannot perceive the voltage, and it can be known that the belt body state is not compliant, and the appropriate full-body safety belt needs to be replaced in time for safety.

[0295] Therefore, the twisted copper wire in series embedded near the edge of the belt body of the full-body safety belt is matched with the external Hall voltage sensor to obtain the belt body Hall data of the full-body safety belt.

[0296] It is worth mentioning that the sensor provided by the safety rope 2 is used for detecting the integrity of the rope body, the twisted copper wire in series is embedded in the rope body and the edge, the voltage is less than 8V, and the external Hall voltage sensor can be used for detecting the voltage of weak direct current;

[0297] When the rope body is complete, the Hall voltage sensor can perceive the voltage through the twisted copper wire in series, and confirm that the safety state of the rope body is normal;

[0298] When the rope body is broken, the twisted copper wire in series in the rope body and the edge is broken, resulting in a break, the Hall voltage sensor cannot perceive the voltage, and it can be known that the rope body is damaged and cannot be used normally and operated, and the safety rope 2 needs to be replaced in time.

[0299] Therefore, the twisted copper wire in series embedded in the rope body and the edge is matched with the external Hall voltage sensor to obtain the rope body Hall data of the safety rope 2.

[0300] The Hall voltage sensor is provided in the full-body safety belt and the safety rope 2, the safety state of the equipment is obtained in real time, the buzzer alarm is performed when the safety state is in the over-limit state or the under-limit state, and the safety of the operating personnel is guaranteed.

[0301] Please refer to Figure 1 and Figure 2 , the intelligent safety rope control system provided by the application, the intelligent analysis module further includes a trend analysis module;

[0302] The trend analysis module is used for performing trend analysis according to the operation safety sensing data set in the preset period of the safety device, and obtaining a trend evaluation result;

[0303] The disc rope box is also used for adopting the trend evaluation result to perform early warning determination, and when the third early warning determination result meets the third preset early warning requirement, the buzzer alarm is performed;

[0304] The third preset early warning requirement is specifically that the trend evaluation result is an unsafe trend state.

[0305] The trend analysis module is used for analyzing the change trend in a period of time to explore the unsafe trend, and is realized based on an improved trend analysis algorithm, and the specific implementation steps are:

[0306] 1. Data acquisition and preprocessing: Real-time acquisition of sensor data from safety equipment at 10 times per second, preliminary filtering of collected data using median filtering and mean filtering to remove obvious noise and outliers;

[0307] 2. Selecting appropriate time window: Considering the characteristics and risk factors of aerial work, selecting an appropriate time window length, such as: for wind speed, selecting a 30s time window;

[0308] 3. Calculate trend indicators, such as for wind speed data, calculate the average value of wind speed in the time window, and compare it with the average value of the previous time window, the difference as the trend indicator of wind speed;

[0309] For the acceleration indicator, arrange the acceleration data in the time window in chronological order, use the least square method for linear fitting, get the slope of the fitting straight line as the trend indicator of acceleration;

[0310] 4. Set trend threshold: According to relevant safety specifications and actual experience, set strict threshold for each sensor trend indicator; For example, the rising trend threshold of wind speed is set to 2 m / s per second, and the falling trend threshold is set to-2 m / s per second;

[0311] The rising trend threshold of acceleration value in x and y direction is set to 0.3 m / s² per second, and the falling trend threshold is set to-0.3 m / s² per second; In the z direction, the rising trend threshold is set to 0.2 m / s² per second, and the falling trend threshold is set to-0.2 m / s² per second;

[0312] 5. Safety state judgment: Comprehensive consideration of all sensor trend indicators, if all sensor trend indicators are within the set threshold range, it is judged as safe state; As long as the trend indicator of one sensor exceeds the threshold, it is judged as unsafe trend, which is regarded as unsafe state;

[0313] 6. Continuous monitoring and updating: Continuously repeat the above data acquisition, calculation and judgment steps in real time; With the continuous influx of new data, dynamically update the data in the time window, ensure the timeliness and accuracy of trend analysis.

[0314] The trend analysis module includes a preprocessing submodule, a first data type judgment submodule, a first trend indicator submodule, a second data type judgment submodule, and a trend evaluation result submodule;

[0315] The preprocessing submodule is used for preprocessing the work safety sensor data in the preset period of the safety equipment to obtain a work safety sensor data set;

[0316] In the embodiment of the present application, the work safety sensing data in a preset period of the safety device is preprocessed, wherein the preset period is preferably 10s, and the preprocessing specifically comprises filtering the collected work safety sensing data by using median filtering and mean filtering to remove obvious noise and outliers, thereby obtaining a work safety sensing data set.

[0317] It should be noted that the work safety sensing data subjected to trend analysis herein includes work environment temperature sensing data, work environment wind speed sensing data, acceleration sensing data, and tension sensing data between the fixed joint 1 and the safety rope 2.

[0318] It is worth mentioning that when calculating the trend index, it is necessary to judge whether the data type of the work safety sensing data set is acceleration sensing data. Since acceleration is a vector describing the rate of change of the speed of an object, the trend of change needs to be calculated by a more complex mathematical method to calculate the slope of the fitted straight line. Acceleration data usually has multidirectionality (such as x, y, and z directions), and the change can be more intense and complex, so further judgment is needed.

[0319] The first data type judgment submodule is configured to, when the data type of the work safety sensing data set is not acceleration sensing data, perform mean value operation on the work safety sensing data set to obtain a first mean value;

[0320] In the embodiment of the present application, when the data type of the work safety sensing data set is not acceleration sensing data, the mean value operation is performed on the work safety sensing data of the same type in the work safety sensing data set, thereby obtaining the first mean value. For example, when the work safety sensing data set is work environment wind speed sensing data, the mean value operation is performed on all work environment wind speed sensing data in the work environment wind speed sensing data set, thereby obtaining the first mean value associated with the work environment wind speed sensing data.

[0321] The first trend index submodule is configured to perform difference operation on the first mean value and the mean value data associated with the previous preset period to obtain a first trend index;

[0322] In the embodiment of the present application, the difference operation is performed on the first mean value and the mean value data associated with the previous preset period, that is, the difference operation is performed on the first mean value calculated from the work safety sensing data set of the current preset period (10s) and the first mean value (i.e., the mean value data) calculated from the work safety sensing data set of the previous 10s, thereby obtaining the first trend index.

[0323] The second data type judgment submodule is configured to, when the data type of the work safety sensing data set is acceleration sensing data, perform acceleration trend analysis operation on the work safety sensing data set to obtain a second trend index;

[0324] In the embodiment of the present application, when the data type of the job safety sensing data set is acceleration sensing data, for the trend index of the acceleration sensing data, the acceleration sensing data in the time window is arranged in time sequence, linear fitting is performed using the least square method, and the slope of the fitting straight line is taken as the second trend index of the acceleration sensing data.

[0325] The trend evaluation result submodule is configured to perform trend state evaluation on the first trend index and the second trend index respectively in combination with a preset trend index threshold interval to obtain a trend evaluation result.

[0326] Referring to Figure 1 and Figure 2 The second data type judgment submodule includes a data point acquisition unit, a first matrix unit, a target vector unit, and a second trend index unit.

[0327] The data point acquisition unit is configured to, when the data type of the job safety sensing data set is acceleration sensing data, collect job safety sensing data points of each job safety sensing data arranged in collection time sequence within a preset time period.

[0328] The job safety sensing data points are taken as horizontal coordinate points and the job safety sensing data is taken as vertical coordinate points.

[0329] In the embodiment of the present application, the job safety sensing data points (i.e., acceleration sensing data points) arranged in time sequence within the time window are recorded as (t1, a1), (t2, a2),..., (tn, an), wherein ti is the collection time and ai is the corresponding acceleration sensing data.

[0330] The first matrix unit is configured to take the collection time in the job safety sensing data points as a column vector and take a preset constant as a supplementary column vector to construct a first matrix.

[0331] It should be noted that the preset constant refers to 1.

[0332] In the embodiment of the present application, the collection time in the job safety sensing data points is taken as a column vector and the preset constant is taken as a supplementary column vector to construct a first matrix X.

[0333] The first column is filled with the collection time t1, t2,..., tn, and the second column is filled with 1.

[0334] The target vector unit is configured to take the job safety sensing data in the job safety sensing data points as a column vector to construct a target vector.

[0335] In the embodiment of the present application, the job safety sensing data a1, a2,..., an are arranged in sequence to form a target vector Y.

[0336] The second trend index unit is configured to determine a second trend index by using the first matrix and the target vector.

[0337] The second trend index unit comprises a transposed matrix subunit, a second matrix subunit, a target inverse matrix subunit, a third matrix subunit, a coefficient vector subunit, and a slope extraction subunit.

[0338] The transposed matrix subunit is configured to solve a transposed matrix of the first matrix.

[0339] In the embodiment of the present application, the transposed matrix X T of the first matrix X is solved.

[0340] The second matrix subunit is configured to perform multiplication operation on the transposed matrix and the first matrix to obtain a second matrix.

[0341] In the embodiment of the present application, multiplication operation is performed on the transposed matrix X T and the first matrix X to obtain the second matrix A.

[0342] In a specific implementation, the conversion is in the form of formula encapsulation:

[0343] A=X T X

[0344] The target inverse matrix subunit is configured to perform inverse operation on the second matrix to obtain a target inverse matrix.

[0345] In the embodiment of the present application, inverse operation is performed on the second matrix to obtain the target inverse matrix A inv , provided that the second matrix A is reversible.

[0346] The third matrix subunit is configured to perform multiplication operation on the transposed matrix and the target vector to obtain a third matrix.

[0347] In the embodiment of the present application, multiplication operation is performed on the transposed matrix X T and the target vector Y to obtain the third matrix B.

[0348] In a specific implementation, the conversion is in the form of formula encapsulation:

[0349] B=X T Y

[0350] The coefficient vector subunit is configured to perform multiplication operation on the third matrix and the target inverse matrix to obtain a coefficient vector.

[0351] In the embodiment of the present application, multiplication operation is performed on the third matrix B and the target inverse matrix A invThe multiplication operation is performed to obtain a coefficient vector [m, b].

[0352] In a specific implementation, the conversion is in the form of a formula package:

[0353] [m, b] = A inv B

[0354] The slope extraction subunit is configured to extract a target slope from the coefficient vector as a second trend indicator.

[0355] In the embodiment of the application, the target slope of the fitting straight line is taken out from the coefficient vector [m, b] as the second trend indicator of the acceleration sensing data.

[0356] Please refer to Figure 1 and Figure 2 The trend evaluation result submodule includes a first judgment unit, a second judgment unit, a first trend evaluation unit, and a second trend evaluation unit.

[0357] The preset trend indicator threshold interval includes a first preset trend indicator threshold interval and a second preset trend indicator threshold interval.

[0358] The first judgment unit is configured to judge whether the first trend indicator is in the first preset trend indicator threshold interval to generate a first evaluation result.

[0359] The second judgment unit is configured to judge whether the second trend indicator is in the second preset trend indicator threshold interval to generate a second evaluation result.

[0360] The first trend evaluation unit is configured to, when the first evaluation result is that the first trend indicator is in the first preset trend indicator threshold interval and the second evaluation result is that the second trend indicator is in the second preset trend indicator threshold interval, take the safety trend state as the trend evaluation result.

[0361] The second trend evaluation unit is configured to, when the first evaluation result is that the first trend indicator is not in the first preset trend indicator threshold interval or the second evaluation result is that the second trend indicator is not in the second preset trend indicator threshold interval, take the unsafe trend state as the trend evaluation result.

[0362] For ease of understanding, the work safety sensing data is taken as an example of work environment wind speed sensing data and acceleration sensing data, and a specific application example is provided as follows:

[0363] The first trend indicator is judged to be in the first preset trend indicator threshold interval, and it is assumed that the current work environment wind speed sensing data is vm / s.

[0364] The first preset trend index threshold interval of the work environment wind speed sensing data is assumed to be [-2, 2], and the unit is m / s.

[0365] When v>+2 m / s, it is determined that there is an unsafe upward trend in the wind speed.

[0366] When v<−2 m / s, it is determined that there is an unsafe downward trend in the wind speed.

[0367] When −2≤v≤+2 m / s, it is determined that the wind speed is in a safe trend state.

[0368] It is determined whether the second trend index is in the second preset trend index threshold interval, assuming that the current acceleration sensing data in the x, y, and z directions is ax, ay, and az m / s 2 .

[0369] The second preset trend index threshold interval associated with the acceleration sensing data is assumed to be:

[0370] The x and y direction trend index threshold interval is [-0.3, 0.3], and the z direction trend index threshold interval is [-0.2, 0.2], with the unit being m / s 2 .

[0371] When ax>+0.3 m / s 2 or ax<−0.3 m / s 2 , it is determined that there is an unsafe trend in the x direction.

[0372] When ay>+0.3 m / s 2 or ay<−0.3 m / s 2 , it is determined that there is an unsafe trend in the y direction.

[0373] When az>+0.2 m / s 2 or az<−0.2 m / s 2 , it is determined that there is an unsafe trend in the z direction.

[0374] It should be noted that the unsafe trend state includes the unsafe downward trend and the unsafe upward trend.

[0375] That is, when the first trend index associated with the work safety sensing data (including the work environment temperature sensing data, the work environment wind speed sensing data, and the tension sensing data between the fixed joint 1 and the safety rope 2) and the second trend index associated with the acceleration sensing data in all directions are all within the set threshold range, it is determined that the state is in a safe trend state.

[0376] When the first trend index associated with the work safety sensing data (including work environment temperature sensing data, work environment wind speed sensing data, and tension sensing data between the fixed connector 1 and the safety rope 2) or the second trend index associated with any one direction acceleration sensing data exceeds the threshold range, an unsafe trend state is determined.

[0377] The application can identify potential risks earlier and improve the accuracy of safety evaluation by real-time monitoring and comprehensive analysis of data change trends through the trend analysis module.

[0378] Please refer to Figure 1 and Figure 2 The intelligent safety rope control system provided by the application is provided with an alarm buzzer 10 on the upper end surface of the rope coiling box body 7.

[0379] One end of the safety rope 2 is arranged through one side of the rope coiling box body 7 and is provided with a connecting buckle 8, and the connecting buckle 8 is used for connecting a full-body safety belt.

[0380] The rope coiling box body 7 is provided with a buffer 5 and an adjuster 6.

[0381] The buffer 5 is arranged at one end close to the connecting buckle 8, and the buffer 5 is used for being connected in series between the belt of the safety rope 2 and the hanging point, so as to absorb and disperse the impact energy during falling.

[0382] The adjuster 6 is arranged at the middle position of the safety rope 2, and the adjuster 6 is used for controlling the length of the safety rope 2.

[0383] The other end of the safety rope 2 is arranged through the other side of the rope coiling box body 7 and is provided with a fixed connector 1.

[0384] The connecting position of the fixed connector 1 and the safety rope 2 is provided with a closing magnet 9 used for assisting the fixed connector 1 to close or lock.

[0385] The upper end surface of the rope coiling box body 7 is provided with a handle 4.

[0386] It should be noted that the upper end surface of the disc rope box body 7 is provided with an alarm buzzer 10, which is used for buzzer alarm, and a roller or a pull rod can also be provided for convenient carrying. The bumper 5 is connected in series between the safety rope 2 and the hanging point, which is used to reduce the impact force when falling. When falling occurs, the bumper 5 can reduce the impact force on the user by sacrificing part of the impact energy through its structure and material characteristics, thereby providing additional safety protection for the user. The intelligent lock 3 is used to determine whether to open the lock through the judgment of the intelligent analysis module. The regulator 6 is used to control the length of the safety rope 2. The fixed joint 1 is arranged outside the disc rope box body 7 and is used to connect the fixing device to ensure the safety of the workers. The connecting buckle 8 is arranged outside the disc rope box body 7 and is opposite to the fixed joint 1, which is used to connect the full-body safety belt worn by the workers. The bumper 5 and the required safety rope 2 are placed in the disc rope box body 7, and the fixed joint 1 is outside the disc rope box body 7. One end of the safety rope 2 is connected to the fixed joint 1 through the outlet of the fixed joint 1 and is fixedly connected to the fixed joint 1. The other end of the safety rope 2 is connected to the bumper 5. The upper end surface of the disc rope box body 7 is provided with a handle 4, which is convenient for workers to quickly carry and move the disc rope box and improves the work efficiency.

[0387] It is worth mentioning that the disc rope box body 7 can be provided with a display screen for displaying state information, such as displaying "over-limit state", "under-limit state" and other text information. Or an indicator light can also be provided to prompt through setting different color indicator lights, sound alarms and other ways.

[0388] It should be noted that the sensing module, the intelligent analysis module and the disc rope box are connected through wireless communication; the transmission of the work safety sensing data can adopt LoRa, NB-loT and radio frequency (RF) transmission, preferably radio frequency (RF) transmission. Radio frequency (RF) transmission refers to a technology for signal transmission by using radio frequency. In radio frequency transmission, information is loaded onto high-frequency electromagnetic waves, transmitted through an antenna, received through an antenna at the receiving end, and then recovered into original information through demodulation and other processing.

[0389] It is worth mentioning that the threshold comparison module is used to compare the data in real time to determine whether the current is a dangerous state; the trend analysis module is used to predict the safety state in a certain period of time in the future according to the existing data and historical data; and the threshold comparison module and the trend analysis module are used to determine whether the current is an unsafe state.

[0390] Please refer to Figure 3 The application provides a control method applied to an intelligent safety rope control system, which comprises the following steps:

[0391] In step 101, work safety sensing data of a safety device is acquired.

[0392] Step 102, processing the obtained device life state result, and performing work behavior safety evaluation with the work safety sensing data.

[0393] Step 103, processing the obtained identity verification result, and combining the work behavior evaluation result and the device life state result to perform safety judgment, when the safety judgment result meets the preset opening box requirement, the disc rope box is opened to obtain the safety rope 2.

[0394] In the embodiment of the application, the work safety sensing data of the safety device is obtained through the sensing module, then the device life state of the safety device is evaluated through the intelligent analysis module, and the work behavior safety evaluation is performed with the work safety sensing data, finally the identity verification is performed through the disc rope box, the identity verification result is obtained, and the work behavior evaluation result and the device life state result are combined to perform safety judgment, when the safety judgment result meets the preset opening box requirement, the disc rope box is opened to obtain the safety rope 2. The situation of non-standard use of safety devices by workers due to fear of trouble or lucky psychology can be avoided, the disc rope box cannot be opened for normal work before the workers wear safety devices reasonably and in accordance with regulations, the safety behavior of the workers is standardized, the safety is improved, and the technical problem that the non-standard use of safety devices cannot be timely prevented before formal work in the prior art, resulting in safety risk hidden dangers, is solved.

[0395] The following is the specific operation process of the application:

[0396] When the worker arrives at the work site, the full-body safety belt is first worn, the safety buckle is buckled in accordance with regulations, and the Hall effect sensor is used to obtain the buckling integrity; then the safety helmet is worn in accordance with regulations, and the photoelectric sensor is used to obtain the heart rate and blood pressure values of the worker within the normal threshold value, so that it can be determined that the safety helmet has been worn; the next step is to process the fixed joint 1, first of all, the Hall sensor arranged on the fixed joint 1 is used to determine the hook closed loop state of the fixed joint 1, when the regulation is met, the tilt sensor arranged on the fixed joint 1 and the full-body safety belt is used to determine that the fixed joint 1 is higher than the full-body safety belt, so that the state of high hanging and low use is achieved; when the full-body safety belt, the safety helmet and the fixed joint 1 are operated in accordance with regulations, the evaluation values of the threshold value comparison module are all in accordance with the safety state,

[0397] At the same time, the device life threshold data is set in the system, each safety device has a corresponding service life, when the service life of the safety device is reached or exceeded, it will be identified as a failure state, the threshold value comparison module will set the state as an unsafe state, so that the disc rope box cannot be opened, until a new device is replaced, the system service life threshold data is reset again to be used normally;

[0398] After the identity verification, when the identity verification result is verified, the preset opening box requirement is met at this time, that is, the disc rope box can be opened, and after the full-body safety belt manual connection buffer 5 is connected, normal construction operation is carried out.

[0399] During the construction operation, real-time monitoring is also carried out, the heart rate and blood pressure sensors arranged in the safety helmet are used to obtain the physical state of the operation personnel, and accidents caused by illness or bad operation environment are avoided.

[0400] The wind speed, temperature and acceleration of the operation environment obtained by the full-body safety belt and the tension sensor arranged in the fixed joint 1 are used for safety evaluation of the operation environment, and when the state is out of limit or under limit, the alarm buzzer 10 is started to alarm and remind, so that corresponding safety measures can be taken as soon as possible.

[0401] At the same time, the weak current line embedded in the belt body of the full-body safety belt and the safety rope 2 is monitored in real time by the Hall voltage sensor in the form of sensing voltage, and the weak current line is embedded at the edge of the belt body of the full-body safety belt and the safety rope 2. When damaged due to aging or gravity, it will cause the weak current line to break, thereby forming an open circuit. When the equipment integrity evaluation result is out of limit or under limit, the alarm buzzer 10 is started to alarm and remind, so that corresponding safety measures can be taken as soon as possible.

[0402] At the same time, a trend analysis module is arranged, trend analysis is carried out according to the operation safety sensing data set in the preset period of the safety equipment, and when the trend evaluation result is an unsafe trend state, the buzzer alarm is carried out, so that the operation personnel can take preventive measures in advance to avoid potential safety accidents.

[0403] The sensor data before and during the operation construction is stored and recorded, and the operation personnel is periodically scored according to the recorded data, so that the operation personnel can develop good habits for safe construction, and the storage and recording state can be called and used in the program of the mobile terminal device and the general control system.

[0404] During the construction operation, the operation personnel needs to have corresponding sensing data transmission and storage every time they receive the corresponding operation task, and the disc rope box needs to have an opening process to ensure that the operation personnel use the intelligent safety rope control system every time they operate.

[0405] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0406] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. For example, the division of the units is only a logical function division, and there can be another division manner in actual implementation; for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different units, or the among different units, can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0407] The above description is merely illustrative of the technical solutions of the present application, and is not a limitation on the present application; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can still be modified, or some technical features can be replaced by equivalent replacements; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An intelligent safety rope control system, characterized in that, This includes interconnected sensing modules, intelligent analysis modules, and rope coiling boxes; The sensing module is used to acquire operational safety sensing data from the safety equipment; The intelligent analysis module is used to process the obtained equipment life status results and to conduct a safety assessment of work behavior using the work safety sensor data. The rope box is used to process the identity verification result and make a safety judgment based on the work behavior evaluation result and the equipment life status result. When the safety judgment result meets the preset opening requirements, the rope box is opened to obtain the safety rope. The safety equipment includes a safety helmet, a full-body safety harness, the safety rope, and a fixing connector; The work safety sensor data used for work behavior safety assessment includes heart rate and blood pressure sensor data, Hall effect data of the safety buckle of the full-body safety belt, tilt angle data between the fixed joint and the full-body safety belt, and hook closed-loop status data of the fixed joint. The rope box includes a rope box body, a smart lock, and a security determination module; The rope box body is equipped with the smart lock and the security determination module; The safety rope is installed inside the rope box body; The smart lock is used to authenticate the identity of the operator and obtain an authentication result, which includes authentication success or authentication failure. The safety determination module is used to make a safety determination based on the identity verification result, the work behavior evaluation result, and the equipment life status result. When the safety determination result meets the preset opening requirements, the rope box is opened to obtain the safety rope. The preset unpacking requirements are specifically: the identity verification result is verified, the work behavior evaluation result is a safe work behavior status, and the equipment life status result is an available status.

2. The intelligent safety rope control system according to claim 1, characterized in that, The intelligent analysis module includes a threshold comparison module; The threshold comparison module includes a first threshold comparison unit and a second threshold comparison unit; The first threshold comparison unit is used to compare the actual usage time data of the safety device obtained in advance with the preset device lifespan threshold data to obtain the device lifespan status result; The second threshold comparison unit is used to perform a safety assessment of the work behavior using the work safety sensing data and the associated first preset safety threshold, and to obtain the work behavior assessment result.

3. The intelligent safety rope control system according to claim 2, characterized in that, The first threshold comparison unit includes a first comparison subunit, a first processing subunit, and a second processing subunit; The first comparison subunit is used to perform a threshold comparison by using pre-acquired actual usage time data of the safety device and preset device lifespan threshold data; The first processing subunit is configured to take the failure state as the device lifespan state result when the actual usage time data is greater than or equal to the preset device lifespan threshold data. The second processing subunit is used to take the available state as the device lifespan state result when the actual usage time data is less than the preset device lifespan threshold data.

4. The intelligent safety rope control system according to claim 3, characterized in that, The second threshold comparison unit includes a first mean operation subunit, a first difference operation subunit, a third processing subunit, a fourth processing subunit, and a fifth processing subunit; The first preset safety threshold includes a first preset upper limit threshold and a first preset lower limit threshold; The first mean calculation subunit is used to perform mean calculation using the first preset upper limit threshold and the first preset lower limit threshold to obtain the first safety standard mean. The first difference calculation subunit is used to perform difference calculation between the work safety sensing data and the first safety standard mean to obtain a first target difference. The third processing subunit is used to take the safe operation behavior status as the operation behavior evaluation result when the operation safety sensing data is greater than or equal to the first preset lower threshold and the operation safety sensing data is less than or equal to the first preset upper threshold. The fourth processing subunit is used to take the over-limit state as the evaluation result of the work behavior when the first target difference is greater than the first preset difference threshold and the work safety sensing data is greater than the first preset upper limit threshold. The fifth processing subunit is used to take the under-limit state as the evaluation result of the work behavior when the first target difference is less than the first preset difference threshold and the work safety sensing data is less than the first preset lower limit threshold.

5. The intelligent safety rope control system according to claim 2, characterized in that, Also includes: The threshold comparison module further includes a third threshold comparison unit; The third threshold comparison unit is used to perform a work environment safety assessment using the work safety sensing data and the associated second preset safety threshold, and to obtain a work environment assessment result. The rope-coiling box is also used to make an early warning judgment based on the working environment assessment results. When the first early warning judgment result meets the first preset early warning requirements, a buzzer alarm is sounded. The first preset warning requirement specifically refers to the working environment assessment result being in an over-limit or under-limit state.

6. The intelligent safety rope control system according to claim 5, characterized in that, The third threshold comparison unit includes a second mean operation subunit, a second difference operation subunit, a sixth processing subunit, a seventh processing subunit, and an eighth processing subunit; The second preset security threshold includes a second preset upper limit threshold and a second preset lower limit threshold; The second mean calculation subunit is used to perform mean calculation using the second preset upper limit threshold and the second preset lower limit threshold to obtain the second safety standard mean. The second difference calculation subunit is used to perform difference calculation between the work safety sensing data and the second safety standard mean to obtain the second target difference. The sixth processing subunit is used to take the safety environment status as the work environment assessment result when the work safety sensing data is greater than or equal to the second preset lower threshold and the work safety sensing data is less than or equal to the second preset upper threshold. The seventh processing subunit is used to take the over-limit state as the working environment assessment result when the second target difference is greater than the second preset difference threshold and the work safety sensing data is greater than the second preset upper limit threshold. The eighth processing subunit is used to take the under-limit state as the working environment assessment result when the second target difference is less than the second preset difference threshold and the work safety sensing data is less than the second preset lower limit threshold.

7. The intelligent safety rope control system according to claim 6, characterized in that, The work safety sensor data used for conducting work environment safety assessments includes heart rate and blood pressure sensor data, work environment temperature sensor data, work environment wind speed sensor data, acceleration sensor data, and tension sensor data between the fixed joint and the safety rope.

8. The intelligent safety rope control system according to claim 2, characterized in that, Also includes: The threshold comparison module further includes a fourth threshold comparison unit; The fourth threshold comparison unit is used to perform equipment integrity safety assessment using the operation safety sensing data and the associated third preset safety threshold to obtain the equipment integrity assessment result. The rope coiling box is also used to make an early warning judgment based on the equipment integrity assessment result. When the second early warning judgment result meets the second preset early warning requirement, a buzzer alarm is sounded. The second preset warning requirement specifically refers to the equipment integrity assessment result being either in an over-limit or under-limit state.

9. The intelligent safety rope control system according to claim 8, characterized in that, The fourth threshold comparison unit includes a third mean operation subunit, a third difference operation subunit, a ninth processing subunit, a tenth processing subunit, and an eleventh processing unit; The third preset safety threshold includes a third preset upper limit threshold and a third preset lower limit threshold; The third mean calculation subunit is used to perform mean calculation using the third preset upper limit threshold and the third preset lower limit threshold to obtain the third safety standard mean. The third difference calculation subunit is used to perform difference calculation between the operation safety sensing data and the average value of the third safety standard to obtain the third target difference. The ninth processing subunit is used to take the safety environment status as the equipment integrity assessment result when the operation safety sensing data is greater than or equal to the third preset lower threshold and the operation safety sensing data is less than or equal to the third preset upper threshold. The tenth processing subunit is used to take the over-limit state as the equipment integrity assessment result when the third target difference is greater than the third preset difference threshold and the operation safety sensing data is greater than the third preset upper limit threshold. The eleventh processing subunit is configured to use the under-limit status as the equipment integrity assessment result when the third target difference is less than the third preset difference threshold and the operation safety sensing data is less than the third preset lower limit threshold.

10. The intelligent safety rope control system according to claim 8, characterized in that, The operational safety sensor data used for equipment integrity safety assessment includes Hall effect data of the full-body safety harness and Hall effect data of the safety rope.

11. The intelligent safety rope control system according to claim 2, characterized in that, The intelligent analysis module also includes a trend analysis module; The trend analysis module is used to perform trend analysis based on the work safety sensor dataset within a preset time period of the safety equipment, and obtain trend evaluation results. The rope-coiling box is also used to make an early warning judgment based on the trend assessment result. When the third early warning judgment result meets the third preset early warning requirement, a buzzer alarm is sounded. The third preset early warning requirement specifically refers to the trend assessment result being an unsafe trend state.

12. The intelligent safety rope control system according to claim 11, characterized in that, The trend analysis module includes a preprocessing submodule, a first data type judgment submodule, a first trend indicator submodule, a second data type judgment submodule, and a trend evaluation result submodule; The preprocessing submodule is used to preprocess the work safety sensing data of the safety equipment within a preset time period to obtain the work safety sensing dataset. The first data type determination submodule is used to perform mean calculation on the operation safety sensor dataset to obtain a first mean when the data type of the operation safety sensor dataset is not acceleration sensor data. The first trend indicator submodule is used to perform a difference calculation using the first mean and the mean data associated with the previous preset time period to obtain the first trend indicator; The second data type determination submodule is used to perform acceleration trend analysis based on the operation safety sensor dataset when the data type of the operation safety sensor dataset is acceleration sensor data, and obtain a second trend index. The trend assessment result submodule is used to assess the trend status using the first trend indicator and the second trend indicator, respectively, and the associated preset trend indicator threshold range, to obtain the trend assessment result.

13. The intelligent safety rope control system according to claim 12, characterized in that, The second data type judgment submodule includes a data point acquisition unit, a first matrix unit, a target vector unit, and a second trend indicator unit; The data point acquisition unit is used to collect operation safety sensor data points arranged in the order of collection time for each operation safety sensor data within a preset time period when the data type of the operation safety sensor dataset is acceleration sensor data. The operation safety sensing data points are defined with the acquisition time as the horizontal axis and the operation safety sensing data as the vertical axis. The first matrix unit is used to construct a first matrix with the acquisition time within the operation safety sensing data point as the column vector and a preset constant as the supplementary column vector; The target vector unit is used to construct a target vector using the work safety sensing data within the work safety sensing data points as column vectors; The second trend indicator unit is used to determine a second trend indicator using the first matrix and the target vector.

14. The intelligent safety rope control system according to claim 13, characterized in that, The second trend indicator unit includes a transpose matrix subunit, a second matrix subunit, a target inverse matrix subunit, a third matrix subunit, a coefficient vector subunit, and a slope extraction subunit; The transpose matrix sub-unit is used to solve for the transpose of the first matrix; The second matrix subunit is used to perform a multiplication operation between the transpose of the matrix and the first matrix to obtain a second matrix; The target inverse matrix sub-unit is used to invert the second matrix to obtain the target inverse matrix; The third matrix sub-unit is used to perform a multiplication operation between the transpose matrix and the target vector to obtain the third matrix; The coefficient vector sub-unit is used to perform a multiplication operation between the third matrix and the target inverse matrix to obtain the coefficient vector. The slope extraction subunit is used to extract the target slope from the coefficient vector as a second trend indicator.

15. The intelligent safety rope control system according to claim 12, characterized in that, The trend assessment result submodule includes a first judgment unit, a second judgment unit, a first trend assessment unit, and a second trend assessment unit; The preset trend indicator threshold range includes a first preset trend indicator threshold range and a second preset trend indicator threshold range; The first judgment unit is used to determine whether the first trend indicator is within the first preset trend indicator threshold range and generate a first evaluation result; The second judgment unit is used to determine whether the second trend indicator is within the second preset trend indicator threshold range and generate a second evaluation result; The first trend assessment unit is configured to take the safe trend status as the trend assessment result when the first assessment result is that the first trend indicator is within the first preset trend indicator threshold range and the second assessment result is that the second trend indicator is within the second preset trend indicator threshold range. The second trend assessment unit is used to take the unsafe trend state as the trend assessment result when the first assessment result is that the first trend indicator is not in the first preset trend indicator threshold range, or the second assessment result is that the second trend indicator is not in the second preset trend indicator threshold range.

16. The intelligent safety rope control system according to claim 1, characterized in that, An alarm buzzer is provided on the upper surface of the rope coiling box body; One end of the safety rope passes through one side of the rope coil box body and is provided with a connecting buckle, which is used to connect the full-body safety harness. The main body of the rope box is equipped with a buffer and an adjuster; The buffer is located at one end near the connecting buckle and is used to be connected in series between the safety rope's straps and the anchor point to absorb and disperse the impact energy during a fall. The adjuster is located at the middle of the safety rope, and the adjuster is used to control the length of the safety rope; The other end of the safety rope passes through the other side of the rope box body and is provided with the fixing joint; The connection point between the fixed joint and the safety rope is provided with a closing magnet to assist the fixed joint in closing or locking. A handle is provided on the upper surface of the rope box body.

17. The intelligent safety rope control system according to claim 1, characterized in that, The smart lock includes an authentication unit; The authentication unit includes a Bluetooth connection subunit, a verification information receiving subunit, an information comparison subunit, a verification pass subunit, and a verification failure subunit; A Bluetooth connectivity subunit is used to retrieve a matching mobile device for the operator and establish a Bluetooth connection. The verification information receiving subunit receives the identity verification information of the operator via Bluetooth; The information comparison subunit compares the authentication information with preset legitimate user information. In the verification successful subunit, if the authentication information matches the preset legitimate user information, then the successful verification is taken as the authentication result. The verification failure subunit determines the verification result as failure if the authentication information does not match the preset legitimate user information.

18. A control method applied to the intelligent safety rope control system according to any one of claims 1-17, characterized in that, include: Acquire operational safety sensor data from safety equipment; The equipment life status results are obtained through processing, and work safety sensor data is used to conduct work behavior safety assessments. The system processes the identity verification results and combines them with the work behavior assessment results and equipment life status results to make a safety judgment. When the safety judgment results meet the preset opening requirements, the rope box is opened to retrieve the safety rope.

Images