Intelligent safety rope control system and control method

Abstract

The invention relates to the technical field of high-altitude operation safety monitoring, and discloses an intelligent safety rope control system and a control method.Operation safety sensing data of safety equipment is obtained through a sensing module, and then equipment service life state evaluation is conducted on the safety equipment through an intelligent analysis module; and performing operation behavior safety evaluation by adopting the operation safety sensing data, finally performing identity verification and processing through the rope coiling box to obtain an identity verification result, performing safety judgment in combination with an operation behavior evaluation result and an equipment life state result, and when the safety judgment result meets a preset box opening requirement, opening the rope coiling box to obtain a safety rope. By means of the rope coiling box, the situation that an operator does not use safety equipment in a standard mode due to fear of trouble or fluke mind can be avoided, the operator cannot open the rope coiling box to work normally before wearing the safety equipment in a reasonable and compliant mode, the safety behavior of the operator is standardized, and safety is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of aerial work safety monitoring, and in particular to an intelligent safety rope control system and a control method. Background Art

[0002] In aerial work, safety protection is a key link to ensure the safety of construction workers and the smooth progress of the project. However, although the design and manufacture of safety equipment have been highly standardized and can effectively prevent the occurrence of falling accidents, there are still many safety hazards in the actual operation process. Because some operators with weak safety awareness are afraid of trouble or take chances, there is a situation of irregular use of safety ropes. Even if additional safety inspectors are added, it is difficult to check one by one in real time to ensure safe operation. In addition, during the operation process, due to reasons such as irregular training, the operators also use safety equipment incorrectly, resulting in the safety equipment not playing a protective role during use.

[0003] The prior art can only detect the safety status of safety equipment during operation, but cannot prevent improper use of safety equipment in time before formal operation. Operators who improperly use safety equipment may also successfully complete the operation, which may easily lead to the operators developing a lucky mentality that improper use is fine, thus creating potential risks. Summary of the invention

[0004] The present invention provides an intelligent safety rope control system and control method, which solves the technical problem in the prior art that the improper use of safety equipment cannot be prevented in time before formal operation, resulting in potential safety risks.

[0005] A first aspect of the present invention provides an intelligent safety rope control system, comprising a sensing module, an intelligent analysis module and a rope coiling box that are communicatively connected to each other;

[0006] The sensor module is used to obtain the operation safety sensor data of the safety equipment;

[0007] The intelligent analysis module is used to process and obtain equipment life status results, and use the operation safety sensor data to perform operation behavior safety assessment;

[0008] The rope coiling box is used to process the identity authentication result and make a safety determination in combination with the operation behavior evaluation result and the equipment life status result. When the safety determination result meets the preset unpacking requirement, the rope coiling box is opened to obtain the safety rope.

[0009] Optionally, the intelligent analysis module includes a threshold comparison module;

[0010] The threshold comparison module includes a first threshold comparison unit and a second threshold comparison unit;

[0011] The first threshold comparison unit is used to compare the actual usage time data of the security device obtained in advance with the preset device life threshold data to obtain a device life status result;

[0012] The second threshold comparison unit is used to use the operation safety sensor data and the associated first preset safety threshold to perform operation behavior safety assessment to obtain the operation behavior assessment result.

[0013] Optionally, the first threshold comparison unit includes a first comparison subunit, a first processing subunit and a second processing subunit;

[0014] The first comparison subunit is used to compare the actual usage time data of the safety device obtained in advance with the preset device life threshold data;

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

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

[0017] Optionally, the second threshold comparison unit includes a first mean value operator unit, a first difference operator unit, a third processing subunit, a fourth processing subunit and a fifth processing subunit;

[0018] The first preset safety threshold includes a first preset upper threshold and a first preset lower threshold;

[0019] The first mean value operation subunit is used to perform mean value operation using the first preset upper threshold value and the first preset lower threshold value to obtain a first safety standard mean value;

[0020] The first difference operation subunit is used to perform a difference operation on the operation safety sensor data and the first safety standard mean value to obtain a first target difference value;

[0021] The third processing subunit is used to use the safe operation behavior state as the operation behavior evaluation result when the operation safety sensor data is greater than or equal to the first preset lower threshold value and the operation safety sensor data is less than or equal to the first preset upper threshold value;

[0022] The fourth processing subunit is configured to use the over-limit state as the operation behavior evaluation result when the first target difference is greater than a first preset difference threshold and the operation safety sensor data is greater than the first preset upper limit threshold;

[0023] The fifth processing subunit is used to use the under-limit state as the operation behavior evaluation result when the first target difference is smaller than the first preset difference threshold and the operation safety sensor data is smaller than the first preset lower limit threshold.

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

[0025] The work safety sensor data for work behavior safety assessment includes heart rate and blood pressure sensor data, safety buckle Hall data of the full-body safety belt, inclination data between the fixed joint and the full-body safety belt, and hook closed-loop status data of the fixed joint.

[0026] Optionally, the rope coiling box includes a rope coiling box body, a smart lock and a safety determination module;

[0027] The rope coiling box body is provided with the smart lock and the safety determination module;

[0028] The safety rope is arranged in the rope coiling box body;

[0029] The smart lock is used to authenticate the identity of the operator and obtain an identity authentication result, wherein the identity authentication result includes a verification pass or a verification failure;

[0030] The safety determination module is used to perform safety determination according to the identity authentication result, in combination with the operation behavior evaluation result and the equipment life status result, and when the safety determination result meets the preset unpacking requirement, the rope coiling box is opened to obtain the safety rope;

[0031] The preset unpacking requirements specifically include that the identity authentication result is a passed verification, the operation behavior assessment result is a safe operation behavior status, and the equipment life status result is an available status.

[0032] Optionally, it also includes:

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

[0034] The third threshold comparison unit is used to use the work safety sensor data and the associated second preset safety threshold to perform a work environment safety assessment to obtain a work environment assessment result;

[0035] The rope coiling box is further used to use the working environment assessment result to make an early warning judgment, and when the first early warning judgment result meets the first preset early warning requirement, a buzzer alarm is sounded;

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

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

[0038] The second preset safety threshold includes a second preset upper threshold and a second preset lower threshold;

[0039] The second mean value operation subunit is used to perform mean value operation using the second preset upper threshold value and the second preset lower threshold value to obtain a second safety standard mean value;

[0040] The second difference operation subunit is used to perform a difference operation on the operation safety sensor data and the second safety standard mean value to obtain a second target difference value;

[0041] The sixth processing subunit is used to use the safety environment state as the work environment assessment result when the operation safety sensor data is greater than or equal to the second preset lower threshold and the operation safety sensor data is less than or equal to the second preset upper threshold;

[0042] The seventh processing subunit is configured to use the over-limit state as the work environment assessment result when the second target difference is greater than a second preset difference threshold and the work safety sensor data is greater than the second preset upper limit threshold;

[0043] The eighth processing subunit is used to use 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 operation safety sensor data is less than the second preset lower limit threshold.

[0044] Optionally, the work safety sensor data for performing work environment safety assessment includes the 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.

[0045] Optionally, it also includes:

[0046] The threshold comparison module further includes a fourth threshold comparison unit;

[0047] The fourth threshold comparison unit is used to use the operation safety sensor data and the associated third preset safety threshold to perform equipment integrity safety assessment to obtain an equipment integrity assessment result;

[0048] The rope coiling box is also used to use the equipment integrity assessment result to make an early warning judgment, and when the second early warning judgment result meets the second preset early warning requirement, a buzzer alarm is sounded;

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

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

[0051] The third preset safety threshold includes a third preset upper threshold and a third preset lower threshold;

[0052] The third mean value operation subunit is used to perform mean value operation using the third preset upper threshold value and the third preset lower threshold value to obtain a third safety standard mean value;

[0053] The third difference operation subunit is used to perform a difference operation on the operation safety sensor data and the third safety standard mean value to obtain a third target difference value;

[0054] The ninth processing subunit is configured to use the safety environment state as the equipment integrity assessment result when the operation safety sensor data is greater than or equal to the third preset lower threshold value and the operation safety sensor data is less than or equal to the third preset upper threshold value;

[0055] The tenth processing subunit is configured to use the over-limit state as the equipment integrity assessment result when the third target difference is greater than a third preset difference threshold and the operation safety sensor data is greater than the third preset upper limit threshold;

[0056] The eleventh processing subunit is used to use the under-limit state as the equipment integrity assessment result when the third target difference is less than the third preset difference threshold and the operation safety sensor data is less than the third preset lower limit threshold.

[0057] Optionally, the operation safety sensor data for equipment integrity safety assessment includes Hall data of the belt body of the full-body safety belt and Hall data of the rope body of the safety rope.

[0058] Optionally, the intelligent analysis module further includes a trend analysis module;

[0059] The trend analysis module is used to perform trend analysis on the operational safety sensor data set within a preset period of time of the safety equipment to obtain a trend evaluation result;

[0060] The rope coiling box is further used to use the trend evaluation result to make an early warning judgment, and when the third early warning judgment result meets the third preset early warning requirement, a buzzer alarm is sounded;

[0061] The third preset warning requirement is specifically that the trend assessment 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 indicator submodule, a second data type judgment submodule and a trend evaluation result submodule;

[0063] The preprocessing submodule is used to preprocess the operation safety sensor data within a preset time period of the safety device to obtain an operation safety sensor data set;

[0064] The first data type determination submodule is used to perform mean calculation using the operation safety sensor data set to obtain a first mean value when the data type of the operation safety sensor data set is not acceleration sensor data;

[0065] The first trend indicator submodule is used to perform a difference operation between the first mean value and the mean value data associated with the previous preset time period to obtain a first trend indicator;

[0066] The second data type determination submodule is used to perform an acceleration trend analysis operation based on the operation safety sensor data set to obtain a second trend indicator when the data type of the operation safety sensor data set is acceleration sensor data;

[0067] The trend evaluation result submodule is used to respectively use the first trend indicator and the second trend indicator and the associated preset trend indicator threshold interval to perform trend status evaluation to obtain a trend evaluation result.

[0068] Optionally, the second data type determination submodule includes a data point acquisition unit, a first matrix unit, a target vector unit and a second trend indicator unit;

[0069] The data point acquisition unit is used to collect the operation safety sensor data points arranged in the order of collection time of each operation safety sensor data within a preset time period when the data type of the operation safety sensor data set is acceleration sensor data;

[0070] Wherein, the operation safety sensor data point has the collection time as the horizontal coordinate point and the operation safety sensor data as the vertical coordinate point;

[0071] The first matrix unit is used to construct a first matrix using the collection time within the operation safety sensor data point as a column vector and a preset constant as a supplementary column vector;

[0072] The target vector unit is used to construct a target vector using the operation safety sensor data in the operation safety sensor data point as a column vector;

[0073] The second trend indicator unit is used to determine a second trend indicator using the first matrix and the target vector.

[0074] Optionally, the second trend indicator unit includes a transposition 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 used to solve the transposed matrix of the first matrix;

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

[0077] The target inverse matrix subunit is used to invert the second matrix to obtain a target inverse matrix;

[0078] The third matrix subunit is used to perform a multiplication operation between the transposed matrix and the target vector to obtain a third matrix;

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

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

[0081] Optionally, 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;

[0082] The preset trend indicator threshold interval includes a first preset trend indicator threshold interval and a second preset trend indicator threshold interval;

[0083] The first judging unit is used to judge whether the first trend indicator is within the first preset trend indicator threshold range, and generate a first evaluation result;

[0084] The second judging unit is used to judge whether the second trend indicator is within the second preset trend indicator threshold range, and generate a second evaluation result;

[0085] The first trend evaluation unit is configured to use the safety trend state as the trend evaluation result when the first evaluation result is that the first trend indicator is within the first preset trend indicator threshold range, and the second evaluation result is that the second trend indicator is within the second preset trend indicator threshold range;

[0086] The second trend evaluation unit is used to take the unsafe trend state as the trend evaluation result when the first evaluation result is that the first trend indicator is not within the first preset trend indicator threshold range, or the second evaluation result is that the second trend indicator is not within the second preset trend indicator threshold range.

[0087] Optionally, an alarm buzzer is provided on the upper end surface of the rope coiling box body;

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

[0089] The rope coiling box body is provided with a buffer and a regulator;

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

[0091] The regulator is arranged at the middle of the safety rope, and is used to control the length of the safety rope;

[0092] The other end of the safety rope passes through the other side of the rope coiling box body and is provided with the fixed joint;

[0093] A closing magnet is provided at the connection between the fixing joint and the safety rope to assist the fixing joint in closing or locking;

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

[0095] Optionally, the smart lock includes an authentication unit;

[0096] 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;

[0097] A Bluetooth connection subunit, used to retrieve a mobile device matching the operator and establish a Bluetooth connection;

[0098] A verification information receiving subunit receives the identity verification information of the operator via Bluetooth;

[0099] An information comparison subunit compares the identity verification information with preset legitimate user information;

[0100] The verification subunit, when the identity verification information is compared and consistent with the preset legal user information, takes the verification as the identity verification result;

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

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

[0103] Acquire operational safety sensor data of safety equipment;

[0104] Processing to obtain equipment life status results, and using work safety sensor data to conduct work behavior safety assessment;

[0105] The identity authentication result is processed and combined with the operation behavior assessment result and the equipment life status result to make a safety judgment. When the safety judgment result meets the preset unpacking requirements, the rope box is opened to obtain the safety rope.

[0106] It can be seen from the above technical solutions that the present invention has the following advantages:

[0107] The present invention obtains the operational safety sensor data of the safety equipment through the sensor module, and then evaluates the equipment life status of the safety equipment through the intelligent analysis module, and uses the operational safety sensor data to evaluate the operational behavior safety, and finally performs identity authentication through the rope coiling box, processes the identity authentication result, and performs safety judgment in combination with the operational behavior evaluation result and the equipment life status result. When the safety judgment result meets the preset unpacking requirements, the rope coiling box is opened to obtain the safety rope. It can avoid the situation where the operator is afraid of trouble or has a fluke mentality and uses the safety equipment in an irregular manner. Before the operator wears the safety equipment reasonably and compliantly, the rope coiling box cannot be opened to work normally, which standardizes the safety behavior of the operator and improves safety. It solves the technical problem that the prior art cannot prevent the irregular use of safety equipment in time before the formal operation, resulting in safety risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0108] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0109] Figure 1 It is a structural block diagram of an intelligent safety rope control system according to an embodiment of the present invention;

[0110] Figure 2 A structural diagram of a rope coiling box of an intelligent safety rope control system according to an embodiment of the present invention;

[0111] Figure 3 A flowchart of a control method applied to an intelligent safety rope control system according to an embodiment of the present invention;

[0112] The meanings of the reference numerals are as follows:

[0113] 1. Fixed joint; 2. Safety rope; 3. Smart lock; 4. Handle; 5. Buffer; 6. Regulator; 7. Rope box body; 8. Connecting buckle; 9. Closing magnet; 10. Warning buzzer. DETAILED DESCRIPTION

[0114] The embodiments of the present invention provide an intelligent safety rope control system and control method, which are used to solve the technical problem in the prior art that it is impossible to prevent the improper use of safety equipment in time before formal operation, resulting in safety risks.

[0115] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0116] The present invention is to standardize the operating habits of workers and use safety equipment effectively and in compliance with regulations. If they are not worn correctly, they cannot work normally. Only after meeting the standards can they use the corresponding tools to continue working. And during the operation, monitoring data is transmitted in real time to ensure safety during the construction process.

[0117] See also Figure 1 and Figure 2 , the present invention provides an intelligent safety rope control system, including a sensing module, an intelligent analysis module and a rope coiling box that are communicatively connected to each other;

[0118] A sensor module, used to obtain operation safety sensor data of safety equipment;

[0119] Intelligent analysis module, used to process the equipment life status results and use the operation safety sensor data to conduct operation behavior safety assessment;

[0120] The rope coiling box is used to process the identity authentication result and make a safety judgment in combination with the operation behavior evaluation result and the equipment life status result. When the safety judgment result meets the preset unpacking requirements, the rope coiling box is opened to obtain the safety rope 2.

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

[0122] Operational safety sensor data refers to the real-time acquisition of various types of data related to operator safety and the working environment through sensors.

[0123] The device life status result refers to the conclusion drawn by comparing the actual usage time of the security device with the preset device life threshold data, which is used to determine whether the device is still in a usable state.

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

[0125] The identity verification 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 rights or operation rights. The identity verification result is based on the comparison of the identity information provided by the user (such as fingerprint, password, facial recognition, IC card, etc.) with the authorization information stored in the smart lock 3 to ultimately determine whether the user has passed the verification.

[0126] Safety judgment refers to the process of systematically judging the overall safety by comprehensively analyzing the results of identity authentication, work behavior assessment and equipment life status. The purpose of safety judgment is to evaluate whether the current working environment, personnel behavior and equipment status meet the preset unpacking requirements (i.e. safety standards), so as to decide whether to open the rope box to obtain the safety rope 2 and allow the operation to continue.

[0127] The preset opening requirements refer to the safety access conditions set by the system after a comprehensive assessment of the operator's identity, equipment status, and operating behavior before opening the rope box. Only when all conditions are met will the system allow the 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 invention, the operation safety sensor data of the safety equipment is obtained through the sensor module, and then the equipment life status of the safety equipment is evaluated through the intelligent analysis module, and the operation safety sensor data is used to evaluate the operation behavior safety, and finally the identity authentication is performed through the rope box, and the identity authentication result is processed to obtain the identity authentication result, and the safety judgment is performed in combination with the operation behavior evaluation result and the equipment life status result. When the safety judgment result meets the preset unpacking requirements, the rope box is opened to obtain the safety rope 2. It can avoid the situation that the operator is afraid of trouble or has a fluke mentality and there is an irregular use of safety equipment. Before the operator does not wear the safety equipment reasonably and compliantly, the rope box cannot be opened to work normally, the safety behavior of the operator is standardized, the safety is improved, and the technical problem that the irregular use of safety equipment cannot be prevented in time before the formal operation in the prior art, resulting in safety risks, is solved.

[0129] See also Figure 1 and Figure 2 ,The present invention provides an intelligent safety rope control system, the intelligent analysis module includes a threshold comparison module;

[0130] The threshold comparison module includes a first threshold comparison unit and a second threshold comparison unit;

[0131] A first threshold comparison unit is used to compare the actual usage time data of the security device obtained in advance with the preset device life threshold data to obtain a device life status result;

[0132] The second threshold comparison unit is used to use the operation safety sensor data and the associated first preset safety threshold to perform an operation behavior safety assessment to obtain an operation behavior assessment result.

[0133] The first threshold comparison unit includes a first comparison subunit, a first processing subunit and a second processing subunit;

[0134] A first comparison subunit, used to compare the actual usage time data of the security device acquired in advance with the preset device life threshold data;

[0135] A first processing subunit, configured to use the failure state as a 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 used to use 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 life status of safety equipment is evaluated in the system. The life status of safety equipment represents the availability and safety of the equipment under current conditions of use. When the equipment fails or is unavailable, continuing to use it may cause potential safety risks. Therefore, the life status of the equipment is used as one of the indicators for opening the rope reel box. This mechanism effectively solves the safety hazards caused by equipment aging or extended use in the existing technology, and significantly improves operational safety.

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

[0139] The preset life of the safety rope 2 at a certain work site is 1000 hours. The equipment life status of the safety rope 2 is determined by 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 use the failure state as the equipment life state result. At this time, the system determines that the safety rope 2 has exceeded its service life and cannot be used any more.

[0142] If the actual use time of the safety rope 2 is 800 hours (less than 1000 hours), the second processing subunit uses the usable state as the equipment life state result. At this time, the system determines that the safety rope 2 is still in a usable state and can continue to be used.

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

[0144] See also Figure 1 and Figure 2 , the present invention provides an intelligent safety rope control system, the second threshold comparison unit includes a first mean value operation subunit, a first difference operation subunit, a third processing subunit, a fourth processing subunit and a fifth processing subunit;

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

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

[0147] In the specific implementation:

[0148] T lower1 ≤Safety Range≤T upper1

[0149] A first mean value operation subunit, configured to perform mean value operation using a first preset upper threshold value and a first preset lower threshold value to obtain a first safety standard mean value;

[0150] In the specific implementation, it is converted into the form of formula encapsulation:

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

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

[0153] A first difference operation subunit is used to perform a difference operation using the operation safety sensor data and the first safety standard mean value to obtain a first target difference value;

[0154] In the specific implementation, it is converted into the form of formula encapsulation:

[0155] D1=M1-T middle1

[0156] Where D1 represents the first target difference, and M1 represents the operation safety sensor data for operation behavior safety assessment.

[0157] A third processing subunit is used to use the safe operation behavior state as the operation behavior evaluation result when the operation safety sensor data is greater than or equal to the first preset lower threshold value and the operation safety sensor data is less than or equal to the first preset upper threshold value;

[0158] In the specific implementation:

[0159] T lower1 ≤M1≤T upper1

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

[0161] In the specific implementation:

[0162] D1>0 and M1>T upper1

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

[0164] In an embodiment of the present invention, when the first target difference is greater than the first preset difference threshold and the operation safety sensor data is greater than the first preset upper limit threshold, it indicates that it is in a dangerously high state, and therefore, the over-limit state is used as the operation behavior evaluation result.

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

[0166] In the specific implementation:

[0167] D1<0 and M1 <T lower1

[0168] In an embodiment of the present invention, when the first target difference is less than the first preset difference threshold and the operation safety sensor data is less than the first preset lower limit threshold, it indicates a dangerously low state, and therefore, the under-limit state is used as the operation behavior evaluation result.

[0169] It is worth mentioning that before conducting an operational behavior safety assessment, the operational safety sensor data needs to be filtered, noise and outliers removed, and unit conversion or data standardization performed to meet the requirements of subsequent comparisons.

[0170] The safety equipment includes a safety helmet, a full body safety belt, a safety rope 2 and a fixing 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. In the embodiment of the present invention, the above four types of safety equipment are taken as examples for explanation.

[0172] The operation safety sensor data for the operation behavior safety assessment include heart rate and blood pressure sensor 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 status data of the fixed joint 1.

[0173] It is worth mentioning that in the second threshold comparison unit, several types of data involved in the operating safety sensor data for the operating behavior safety assessment are processed separately. It can be understood that one type of data corresponds to one operating behavior assessment result. Therefore, the second threshold comparison unit will generate four operating behavior assessment results. One of the conditions in the following preset unpacking requirements is: the operating behavior assessment result is a safe operating behavior state, which specifically means that the four operating behavior assessment results are all in a safe operating behavior state.

[0174] Furthermore, the sensor module is used to obtain sensor data obtained by the sensor network formed by the safety helmet, the full-body safety belt, the safety rope 2 and the fixed joint 1 through sensors.

[0175] It is worth mentioning that in the sensing module, the safety helmet is equipped with sensors for measuring heart rate, blood pressure and ambient temperature. They are set at the circumference of the helmet to facilitate contact with the operator's skin to obtain accurate sensing data.

[0176] By measuring the heart rate and blood pressure, the status of the workers wearing safety helmets and their physical condition during the operation can be obtained. Abnormal heart rate and blood pressure during operation can easily increase the probability of workers making mistakes in high-altitude operations and causing danger. The temperature of the working environment is monitored by temperature sensors. When the maximum temperature of the day reaches above 40℃, outdoor high-altitude operations should be stopped. When the maximum temperature of the day reaches above 37℃ and below 40℃, the system starts timing and the cumulative outdoor working time of the workers shall not exceed 6 hours, and the continuous working time shall not exceed the standard requirements. When the temperature is below -20℃, it may affect the performance of equipment, material strength, etc., increase the danger of the operation, and the outdoor high-altitude operations should be stopped.

[0177] Therefore, photoelectric sensors (PPG) can be used to measure heart rate and blood pressure, and heart rate and blood pressure sensing data can be obtained through photoelectric sensors (PPG).

[0178] It is worth mentioning that the sensors installed on the full-body safety belt are used to detect the safety buckle status, working environment wind speed, acceleration and the integrity of the belt.

[0179] Hall effect sensors are used in the safety buckles of full-body safety belts. Hall effect sensors are magnetic sensors based on the Hall effect, which can convert changes in magnetic fields into changes in output voltage. Magnets with different magnetic fields are set for each group of safety buckles, and the magnetic fields generated by the safety buckles of the corresponding group are converted into electrical signals to confirm correctness based on normal use of the safety buckles. Since different magnetic fields are usually converted into different electrical signals, the differences are based on characteristics such as the strength, direction, distribution and rate of change of the magnetic field, and thus the magnets with different magnetic fields set in the safety buckles can be controlled. When the safety buckles match correctly, the correct electrical signals are recorded, and any safety buckles that are different from the correct electrical signals are unqualified.

[0180] Therefore, the safety buckle Hall data of the full body safety belt is obtained through the Hall effect sensor.

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

[0182] Tilt sensors are respectively provided at the fixed joint 1 and the full-body safety belt. The tilt sensor is a sensor that can measure the tilt angle or posture of an object relative to the direction of gravity. It has high measurement accuracy and can meet the angle measurement requirements of various application scenarios. When the fixed joint 1 is hung at a height lower than the full-body safety belt, an alarm will be issued in time. The sensor is provided to avoid the situation where the operator hangs low and uses it high during operation.

[0183] Therefore, the inclination data between the fixed joint 1 and the full body safety belt is acquired 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 set near the closing position. When the closing magnet 9 approaches and resets, the electrical signal output by the Hall sensor will change, thereby detecting the closing of the hook. This device is set to avoid improper operation by the operator when installing the fixed joint 1, which may cause the fixed joint 1 to be unsecured and cause danger.

[0185] Therefore, the hook closed-loop state data of the fixed joint 1 is obtained by installing a closing magnet 9 on the hook of the fixed joint 1 and cooperating with a Hall sensor arranged near the closed position.

[0186] The rope coiling box includes a rope coiling box body 7, a smart lock 3 and a safety determination module;

[0187] The rope coiling box body 7 is provided with an intelligent lock 3 and a safety determination module;

[0188] A safety rope 2 is provided in the rope coiling box body 7;

[0189] Smart lock 3, used to authenticate the identity of the operator and obtain the identity authentication result, which includes authentication pass or authentication failure;

[0190] A safety determination module is used to make a safety determination based on the identity authentication result, the operation behavior evaluation result and the equipment life status result. When the safety determination result meets the preset unpacking requirements, the rope coiling box is opened to obtain the safety rope 2;

[0191] The preset unpacking requirements are that the identity authentication result is verification passed, the operation behavior assessment result is a safe operation behavior status, and the equipment life status result is an available status.

[0192] In the embodiment of the present invention, the rope coiling box body 7 serves as the core bearing structure, and a safety rope 2 is arranged inside to provide safety protection for the operating personnel. The rope coiling box body 7 is externally integrated with a smart lock 3 and a safety determination module, which are used for identity authentication and safety determination respectively. The smart lock 3 is used to authenticate the identity of the operating personnel, and confirm the operating authority of the operating personnel by means of fingerprint recognition, password input or IC card verification. When the smart lock 3 authenticates the identity of the operating personnel, the authentication is passed as the identity authentication result. When the smart lock 3 fails to authenticate the identity of the operating personnel, the authentication failure is used as the identity authentication result. The safety determination module is used to make a safety determination based on the identity authentication results, the operation behavior assessment results and the equipment life status results. The identity authentication result must be a passed verification. The operation behavior assessment result must be a safe operation behavior state (i.e., the operation behavior complies with the preset safety specifications, and there is no illegal operation or potential risk). The equipment life status result must be an available state (i.e., the equipment usage time does not exceed the preset life threshold, and the equipment performance is normal). When all the above conditions are met, the safety determination module determines that the preset unpacking requirements are met and automatically opens the rope coiling box to obtain the safety rope 2; otherwise, the rope coiling box remains closed and issues a warning prompt.

[0193] The preset unpacking requirements are the safe access conditions for opening the rope coiling box, including: the identity authentication result is verification passed; the operation behavior assessment result is the safe operation behavior status; the equipment life status result is the available status.

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

[0195] As a preferred embodiment, the smart 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] A Bluetooth connection subunit, used to retrieve a matching operator's mobile device and establish a Bluetooth connection;

[0198] A verification information receiving subunit receives the identity verification information of the operator via Bluetooth;

[0199] An information comparison subunit compares the identity authentication information with preset legitimate user information;

[0200] The verification subunit passes, and when the identity authentication information is consistent with the preset legitimate user information, the verification is passed as the identity authentication result;

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

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

[0203] The authentication unit is used to identify the operator. It is a function implemented based on the improved Bluetooth unlocking algorithm. The specific implementation steps are as follows:

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

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

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

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

[0208] 5. Make an unlocking decision based on the verification result. If the verification passes, send an identity authentication pass instruction.

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

[0210] The unlocking unit determines whether to unlock the lock based on the device life status result obtained by the first threshold comparison unit, the operation behavior assessment result obtained by the second threshold comparison unit, and the identity authentication result of the authentication unit. When the preset unpacking requirements are that the identity authentication result is verified passed, the operation behavior assessment result is a safe operation behavior state, and the device life status result is an available state, the smart lock 3 is unlocked; if one of the three items or none of them are met, the smart lock 3 cannot be unlocked.

[0211] The present invention monitors and predicts the working environment in real time during the operation process, and issues real-time reminders in an over-limit state or under-limit state, thereby avoiding risk factors caused by the working environment in advance.

[0212] See also Figure 1 and Figure 2 The present invention provides an intelligent safety rope control system, further comprising:

[0213] The threshold comparison module also includes a third threshold comparison unit;

[0214] A third threshold comparison unit is used to use the work safety sensor data and the associated second preset safety threshold to perform a work environment safety assessment to obtain a work environment assessment result;

[0215] The rope coiling box is also used to make an early warning judgment using the working environment assessment result, and when the first early warning judgment result meets the first preset early warning requirement, a buzzer alarm is sounded;

[0216] The first preset warning requirement is 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-mentioned work behavior safety assessment is carried out, real-time monitoring will also be carried out during the construction work project, so a work environment safety assessment is required.

[0218] The third threshold comparison unit includes a second mean value 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 threshold and a second preset lower threshold;

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

[0221] In the specific implementation:

[0222] T lower2 ≤Safety Range≤T upper2

[0223] A second mean value operation subunit, configured to perform mean value operation using a second preset upper threshold and a second preset lower threshold to obtain a second safety standard mean value;

[0224] In the specific implementation, it is converted into the form of formula encapsulation:

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

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

[0227] A second difference operation subunit is used to perform a difference operation using the operation safety sensor data and the second safety standard mean value to obtain a second target difference value;

[0228] In the specific implementation, it is converted into the form of formula encapsulation:

[0229] D2=M2-T middle2

[0230] Where D2 represents the second target difference, and M2 represents the work safety sensor data for working environment safety assessment.

[0231] a sixth processing subunit, configured to use the safety environment state as a work environment assessment result when the operation safety sensor data is greater than or equal to a second preset lower threshold value and the operation safety sensor data is less than or equal to a second preset upper threshold value;

[0232] In the specific implementation:

[0233] T lower2 ≤M2≤T upper2

[0234] a seventh processing subunit, configured to take the over-limit state as a work environment assessment result when the second target difference is greater than a second preset difference threshold and the work safety sensor data is greater than a second preset upper limit threshold;

[0235] In the specific implementation:

[0236] D2>0 and M2>T upper2

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

[0238] In an embodiment of the present invention, when the second target difference is greater than the second preset difference threshold and the operation safety sensor data is greater than the second preset upper limit threshold, it indicates a dangerously high state, and therefore, the over-limit state is used as the work environment assessment result.

[0239] 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 operation safety sensor data is less than the second preset lower limit threshold.

[0240] In the specific implementation:

[0241] D2<0 and M2 <T lower2

[0242] In an embodiment of the present invention, when the second target difference is less than the second preset difference threshold and the operation safety sensor data is less than the second preset lower limit threshold, it indicates a dangerously low state, and therefore, the under-limit state is used as the working environment assessment result.

[0243] It is worth mentioning that before conducting a work environment safety assessment, the work safety sensor data needs to be filtered, noise and outliers removed, and unit conversion or data standardization performed to meet the requirements of subsequent comparisons.

[0244] The work safety sensor data for the work environment safety assessment 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 1 and the safety rope 2.

[0245] It is worth mentioning that in the third threshold comparison unit, several types of data involved in the work safety sensor data for the work environment safety assessment are processed separately. It can be understood that one type of data corresponds to one work environment assessment result. Therefore, the third threshold comparison unit will generate five work environment assessment results. The condition in the above-mentioned first preset warning requirement is: the work environment assessment result is in an over-limit state or an under-limit state, specifically referring to any one of the five work environment assessment results being 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 infrared temperature sensors, thermocouple sensors or integrated temperature sensors can be used to measure the temperature sensing data of the working environment, and infrared temperature sensors are preferred.

[0248] It is worth mentioning that a hot wire anemometer is set at any position of the full-body safety belt. A thin wire or film heated by electric current is exposed to the airflow. The flow of airflow will take 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 in the resistance of the hot wire, the speed of the airflow can be calculated, and the safety status of high-altitude operations can be determined based on the wind speed.

[0250] When the gust reaches level 5 or above (wind speed above 8.0m / s), operations should generally be suspended. In special high-altitude operations, such as high-altitude operations in strong winds, operations are prohibited when encountering strong winds of level 6 or above (wind speed above 10.8m / s).

[0251] Therefore, a hot wire anemometer is set up to obtain wind speed sensing data in the working environment.

[0252] It is worth mentioning that MEMS acceleration sensors are set at any position of the full-body safety belt. They are manufactured based on micro-electromechanical systems (MEMS) technology, are small in size, light in weight, and low in cost. They can detect the acceleration of workers rising or falling during aerial work;

[0253] During aerial work, workers control the equipment to move up and down. The speed of the equipment also affects its safety. Set an acceleration safety threshold, and an alarm will be triggered when the acceleration sensor value exceeds the safety threshold.

[0254] Therefore, acceleration sensing data is obtained through a MEMS acceleration sensor.

[0255] It is worth mentioning that a resistive strain sensor is set at the connection between the fixed joint 1 and the safety rope 2 to obtain the tension. Since the tension ranges corresponding to the different rope bodies of the safety rope 2 are also different, the safety threshold is set according to the tension range of the rope body in the rope coil box. When the resistive strain sensor detects that the tension value is greater than the safety threshold, an alarm is issued in time. The sensor is set to avoid exceeding the maximum tension range of the rope body.

[0256] Therefore, a resistance strain sensor is provided to obtain the tension sensing data between the fixed joint 1 and the safety rope 2 .

[0257] See also Figure 1 and Figure 2 The present invention provides an intelligent safety rope control system, further comprising:

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

[0259] a fourth threshold comparison unit, configured to perform a safety assessment of equipment integrity using the operational safety sensor data and the associated third preset safety threshold, and obtain an equipment integrity assessment result;

[0260] The rope coiling box is also used to make an early warning judgment using the equipment integrity assessment result, and when the second early warning judgment result meets the second preset early warning requirement, a buzzer alarm is sounded;

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

[0262] It should be noted that after the above-mentioned safety assessment of the operating behavior, real-time monitoring will also be carried out during the construction work, so an equipment integrity safety assessment is required.

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

[0264] The third preset safety threshold includes a third preset upper threshold and a third preset lower threshold;

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

[0266] In the specific implementation:

[0267] T lower3 ≤Safety Range≤T upper3

[0268] A third mean value operation subunit, configured to perform mean value operation using a third preset upper threshold value and a third preset lower threshold value to obtain a third safety standard mean value;

[0269] In the specific implementation, it is converted into the form of formula encapsulation:

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

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

[0272] A third difference operation subunit is used to perform a difference operation using the operation safety sensor data and the third safety standard mean value to obtain a third target difference value;

[0273] In the specific implementation, it is converted into the form of formula encapsulation:

[0274] D3=M3-T middle3

[0275] Where D3 represents the third target difference, and M3 represents the operational safety sensor data for equipment integrity safety assessment.

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

[0277] In the specific implementation:

[0278] T lower3 ≤M3≤T upper3

[0279] a tenth processing subunit, configured to use the over-limit state as the equipment integrity assessment result when the third target difference is greater than a third preset difference threshold and the operation safety sensor data is greater than a third preset upper limit threshold;

[0280] In the specific implementation:

[0281] D3>0 and M3>T upper3

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

[0283] In an embodiment of the present invention, when the third target difference is greater than the third preset difference threshold and the operation safety sensor data is greater than the third preset upper limit threshold, it indicates a dangerously high state, and therefore, the over-limit state is used as the equipment integrity assessment result.

[0284] The eleventh processing subunit is used to take the under-limit state as the equipment integrity assessment result when the third target difference is less than the third preset difference threshold and the operation safety sensor data is less than the third preset lower limit threshold.

[0285] In the specific implementation:

[0286] D3<0 and M3 <T lower3

[0287] In an embodiment of the present invention, when the third target difference is less than the third preset difference threshold and the operation safety sensor data is less than the third preset lower limit threshold, it indicates a dangerously low state, and therefore, the under-limit state is used as the equipment integrity assessment result.

[0288] It is worth mentioning that before conducting an equipment integrity safety assessment, the operational safety sensor data needs to be filtered, noise and outliers removed, and unit conversion or data standardization performed to meet the requirements of subsequent comparisons.

[0289] The operation safety sensor data for equipment integrity safety assessment includes the Hall data of the belt body of the full-body safety belt and the Hall data of the rope body of the safety rope 2.

[0290] It is worth mentioning that in the fourth threshold comparison unit, several types of data involved in the operation safety sensor data for equipment integrity safety assessment are processed separately. It can be understood that one type of data corresponds to one equipment integrity assessment result. Therefore, the fourth threshold comparison unit will generate two equipment integrity assessment results. The condition in the above-mentioned second preset warning requirement is: the equipment integrity assessment result is in an over-limit state or an under-limit state, which specifically refers to any one of the two equipment integrity assessment results being in an over-limit state or an under-limit state.

[0291] It is worth mentioning that multiple strands of fine copper wires are embedded in series near the edge of the belt body of the full-body safety belt. This structure increases the flexibility of the wires, making them more suitable for use in occasions that require frequent movement or bending, and is more durable for the folding characteristics of the full-body safety belt;

[0292] When the voltage is set to less than 8V, an external Hall voltage sensor can be used to detect the voltage of weak DC;

[0293] When the belt body is intact and the edge of the belt body is not damaged, the multiple strands of fine copper wires are in a complete state, and the Hall voltage sensor can sense the voltage when power is turned on;

[0294] When the edge of the belt is damaged, causing the multiple strands of thin copper wires in series to break, the Hall voltage sensor cannot sense the voltage, and it can be known that the belt is not in compliance with the regulations. For safety reasons, it is necessary to replace it with a suitable full-body safety belt in time.

[0295] Therefore, a plurality of strands of twisted copper wires connected in series are embedded near the edge of the belt body of the full-body safety belt to cooperate with an external Hall voltage sensor to obtain the Hall data of the belt body of the full-body safety belt.

[0296] It is worth mentioning that the sensor set on the safety rope 2 is used to detect the integrity of the rope body. Multiple strands of fine copper wires are embedded in series in the rope body and on the edge. The voltage is set to less than 8V. An external Hall voltage sensor can be used to detect the voltage of weak DC.

[0297] When the rope is intact, the Hall voltage sensor can sense the voltage through the multiple strands of thin copper wires in series, confirming that the rope is in a normal safety state;

[0298] When the rope body breaks, the multiple strands of thin copper wires in series in the rope body and at the edge are broken, resulting in a short circuit. The Hall voltage sensor cannot sense the voltage, which means that the rope body is damaged and cannot be used normally and work can be performed. The safety rope 2 needs to be replaced in time.

[0299] Therefore, the rope body Hall data of the safety rope 2 is obtained by embedding multiple strands of fine copper wires in series in the rope body and at the edge thereof in cooperation with an external Hall voltage sensor.

[0300] The present invention arranges Hall voltage sensors on the full-body safety belt and the safety rope 2 to obtain the safety status of the equipment in real time, and buzzes to warn when the equipment is in an over-limit state or under-limit state, so as to ensure the safety of the operators.

[0301] See also Figure 1 and Figure 2 , the present invention provides an intelligent safety rope control system, the intelligent analysis module also includes a trend analysis module;

[0302] A trend analysis module is used to perform trend analysis based on the operational safety sensor data set within a preset period of time of the safety equipment to obtain a trend evaluation result;

[0303] The rope coiling box is also used to make early warning judgments using the trend evaluation results, and when the third early warning judgment result meets the third preset early warning requirement, a buzzer alarm is sounded;

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

[0305] The trend analysis module is used to analyze the changing trend over a period of time to detect unsafe trends. It is implemented based on an improved trend analysis algorithm. The specific implementation steps are as follows:

[0306] 1. Data collection and preprocessing: The sensor data is acquired from the security equipment in real time 10 times per second, and the collected data is preliminarily filtered using median filtering and mean filtering to remove obvious noise and outliers;

[0307] 2. Choose a suitable time window: Consider the characteristics and risk factors of high-altitude operations and choose a suitable time window length, for example, choose a 30s time window for wind speed;

[0308] 3. Calculate trend indicators. For example, for wind speed data, calculate the average wind speed in the time window and compare it with the average wind speed in the previous time window. The difference is used as the trend indicator of wind speed.

[0309] For the acceleration index, the acceleration data in the time window are arranged in chronological order, and the least square method is used for linear fitting, and the slope of the fitting line is obtained as the trend index of acceleration;

[0310] 4. Set trend thresholds: According to relevant safety regulations and actual experience, set strict thresholds for trend indicators of each sensor; 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 acceleration value in the x and y directions has an upward trend threshold of 0.3 m / s² per second, and a downward trend threshold of -0.3 m / s² per second; in the z direction, the upward trend threshold is set to 0.2 m / s² per second, and the downward trend threshold is set to -0.2 m / s² per second;

[0312] 5. Safety status judgment: Comprehensively consider the trend indicators of all sensors. If the trend indicators of all sensors are within the set threshold range, it is judged to be a safe state; as long as the trend indicator of one sensor exceeds the threshold, it is judged to have an unsafe trend and is regarded as an unsafe state;

[0313] 6. Continuous monitoring and updating: Repeat the above steps of data collection, calculation and judgment in real time; as new data continues to flow in, dynamically update the data within the time window to 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] A preprocessing submodule is used to preprocess the operation safety sensor data within a preset period of time of the safety equipment to obtain an operation safety sensor data set;

[0316] In an embodiment of the present invention, the operation safety sensor data within a preset time period of the safety equipment is preprocessed, wherein the preset time period is preferably 10s. The preprocessing specifically uses median filtering and mean filtering to filter the collected operation safety sensor data to remove obvious noise and outliers to obtain an operation safety sensor data set.

[0317] It should be noted that the operating safety sensor data for trend analysis here include operating environment temperature sensor data, operating environment wind speed sensor data, acceleration sensor data, and tension sensor data between the fixed joint 1 and the safety rope 2.

[0318] It is worth mentioning that when calculating trend indicators, it is necessary to determine whether the data type of the work safety sensor data set is acceleration sensor data. Since acceleration is a vector that describes the rate of change of the speed of an object, its change trend requires more complex mathematical methods to calculate the slope of the fitted line. Acceleration data is usually multi-directional (such as x, y, and z directions), and the changes may be more drastic and complex, so further judgment is required.

[0319] A first data type determination submodule, configured to perform a mean operation on the operation safety sensor data set to obtain a first mean value when the data type of the operation safety sensor data set is not acceleration sensor data;

[0320] In an embodiment of the present invention, when the data type of the operation safety sensor data set is not acceleration sensor data, the operation safety sensor data of the same data type in the operation safety sensor data set is used to perform a mean operation to obtain a first mean. For example, the operation safety sensor data set is the operation environment wind speed sensor data, and therefore, all the operation environment wind speed sensor data in the operation environment wind speed sensor data set are used to perform a mean operation to obtain a first mean associated with the operation environment wind speed sensor data.

[0321] A first trend indicator submodule, configured to perform a difference operation between the first mean value and the mean value data associated with the last preset time period to obtain a first trend indicator;

[0322] In an embodiment of the present invention, a difference operation is performed between the first mean and the mean data associated with the previous preset time period, that is, a difference operation is performed between the first mean calculated from the job safety sensor data set of the current preset time period (10s) and the first mean (that is, the mean data) calculated from the job safety sensor data set of the previous 10s to obtain a first trend indicator.

[0323] A second data type determination submodule is used to perform an acceleration trend analysis operation based on the operation safety sensor data set to obtain a second trend indicator when the data type of the operation safety sensor data set is acceleration sensor data;

[0324] In an embodiment of the present invention, when the data type of the operation safety sensor data set is acceleration sensor data, for the trend indicator of the acceleration sensor data, the acceleration sensor data within the time window is arranged in chronological order, and linear fitting is performed using the least squares method to obtain the slope of the fitting straight line as the second trend indicator of the acceleration sensor data.

[0325] The trend evaluation result submodule is used to respectively use the first trend indicator and the second trend indicator and the associated preset trend indicator threshold interval to perform trend status evaluation to obtain a trend evaluation result.

[0326] See also Figure 1 and Figure 2 ,In an intelligent safety rope control system provided by the present invention, 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;

[0327] A data point acquisition unit, for collecting the operation safety sensor data points of each operation safety sensor data in a preset time period arranged in the order of collection time when the data type of the operation safety sensor data set is acceleration sensor data;

[0328] Among them, the operation safety sensor data points have the collection time as the horizontal coordinate point and the operation safety sensor data as the vertical coordinate point;

[0329] In an embodiment of the present invention, the operation safety sensor data points (ie, acceleration sensor data points) are arranged in time order within the collection time window, and are recorded as (t1, a1), (t2, a2), ..., (tn, an), where ti is the collection time and ai is the corresponding acceleration sensor data.

[0330] A first matrix unit is used to construct a first matrix using the collection time within the operation safety sensor data point as a column vector and a preset constant as a supplementary column vector;

[0331] It should be noted that the default constant is 1.

[0332] In the embodiment of the present invention, the first matrix X is constructed by taking the collection time within the operation safety sensor data point as a column vector and taking the preset constant as a supplementary column vector.

[0333] The first column is filled with the acquisition times t1, t2, ..., tn, and the second column is filled with all 1s.

[0334] A target vector unit, used to construct a target vector using the operation safety sensor data in the operation safety sensor data point as a column vector;

[0335] In the embodiment of the present invention, the operation safety sensor data a1, a2, . . . , an are arranged in sequence to construct a target vector Y.

[0336] The second trend indicator unit is used to determine the second trend indicator by using the first matrix and the target vector.

[0337] The second trend indicator unit includes a transposition 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] A transposed matrix subunit, used for solving the transposed matrix of the first matrix;

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

[0340] The second matrix subunit is used to perform a multiplication operation between the transposed matrix and the first matrix to obtain a second matrix;

[0341] In the embodiment of the present invention, the transposed matrix X is used T Perform multiplication operation with the first matrix X to obtain the second matrix A.

[0342] In the specific implementation, it is converted into the form of formula encapsulation:

[0343] A=X T X

[0344] A target inverse matrix subunit is used to invert the second matrix to obtain a target inverse matrix;

[0345] In the embodiment of the present invention, the second matrix is ​​inverted to obtain the target inverse matrix A inv . The premise is that the second matrix A is invertible.

[0346] A third matrix subunit is used to perform a multiplication operation between the transposed matrix and the target vector to obtain a third matrix;

[0347] In the embodiment of the present invention, the transposed matrix X is used T Multiply it with the target vector Y to obtain the third matrix B.

[0348] In the specific implementation, it is converted into the form of formula encapsulation:

[0349] B=X T Y

[0350] A coefficient vector subunit, used for performing a multiplication operation by using the third matrix and the target inverse matrix to obtain a coefficient vector;

[0351] In the embodiment of the present invention, the third matrix B and the target inverse matrix A are used invPerform multiplication operation to obtain the coefficient vector [m, b].

[0352] In the specific implementation, it is converted into the form of formula encapsulation:

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

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

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

[0356] See also Figure 1 and Figure 2 , the present invention provides an intelligent safety rope control system, 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;

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

[0358] A first judging unit, configured to judge whether the first trend indicator is within a first preset trend indicator threshold range, and generate a first evaluation result;

[0359] A second judging unit, used to judge whether the second trend indicator is within a second preset trend indicator threshold range, and generate a second evaluation result;

[0360] A first trend evaluation unit, configured to use the safety trend state as a trend evaluation result when the first evaluation result is that the first trend indicator is within a first preset trend indicator threshold interval, and the second evaluation result is that the second trend indicator is within a second preset trend indicator threshold interval;

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

[0362] For ease of understanding, the operation safety sensor data takes the wind speed sensor data and acceleration sensor data of the operation environment as an example. The following provides a specific application example:

[0363] Determine whether the first trend indicator is within a first preset trend indicator threshold range, assuming that the current working environment wind speed sensor data is vm / s.

[0364] The first preset trend indicator threshold interval associated with the working environment wind speed sensor data is assumed to be [-2, 2], with the unit being m / s.

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

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

[0367] When −2≤v≤+2 m / s, the wind speed is judged to be in a safe trend state.

[0368] Determine whether the second trend indicator is within the second preset trend indicator threshold range, assuming that the current acceleration sensor data in the x, y, and z directions are ax, ay, and azm / s respectively 2 .

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

[0370] The threshold intervals of the trend indicators in the x and y directions are [-0.3, 0.3], and the threshold intervals of the trend indicators in the z direction are [-0.2, 0.2], and the unit is m / s 2 .

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

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

[0373] When az>+0.2m / s 2 or az<−0.2m / 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 a downward unsafe trend and an upward unsafe trend.

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

[0376] When the first trend indicator associated with the work safety sensor data (including the work environment temperature sensor data, the work environment wind speed sensor data, and the tension sensor data between the fixed joint 1 and the safety rope 2) or the second trend indicator associated with the acceleration sensor data in any direction exceeds the threshold range, it is determined to be an unsafe trend state.

[0377] The present invention monitors and comprehensively analyzes data change trends in real time through a trend analysis module, which can identify potential risks earlier and improve the accuracy of safety assessment.

[0378] See also Figure 1 and Figure 2 , the present invention provides an intelligent safety rope control system, the upper end surface of the rope coiling box body 7 is provided with an alarm buzzer 10;

[0379] One end of the safety rope 2 is passed through one side of the rope coiling box body 7 and is provided with a connecting buckle 8, which is used to connect the full-body safety belt;

[0380] A buffer 5 and a regulator 6 are provided in the rope coiling box body 7;

[0381] The buffer 5 is arranged at one end close to the connecting buckle 8, and the buffer 5 is used to be connected in series between the tie and the hanging point of the safety rope 2 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 to control the length of the safety rope 2;

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

[0384] A closing magnet 9 is provided at the connection between the fixed joint 1 and the safety rope 2 to assist the fixed joint 1 in closing or locking;

[0385] A handle 4 is provided on the upper end surface of the rope coiling box body 7 .

[0386] It should be noted that an alarm buzzer 10 is provided on the upper end surface of the rope coiling box body 7, and the alarm buzzer 10 is used for buzzing alarm. Rollers or pull rods can also be provided for easy transportation. The buffer 5 is a device connected in series between the strap and the hanging point of the safety rope 2, and is used to reduce the impact force during a fall. When a fall occurs, the buffer 5 can sacrifice part of the impact energy through its own structure and material properties, thereby reducing the impact force on the user, thereby providing additional safety protection for the user. The smart lock 3 is used to determine whether to unlock through the judgment of the intelligent analysis module, and the adjuster 6 is used to control the length of the safety rope 2. The fixed joint 1 is arranged on the outside of the rope coiling box body 7, and is used to connect the fixing device to ensure the safety of the operator. The connecting buckle 8 is arranged on the outside of the rope coiling box body 7, opposite to the fixed joint 1, and is used to connect the full-body safety belt worn by the operator. The buffer 5 and the required safety rope 2 are placed in the rope coiling box body 7, the fixed joint 1 is outside the rope coiling box body 7, one end of the safety rope 2 escapes through the outlet of the fixed joint 1 and is fixedly connected to the fixed joint 1, and the other end of the safety rope 2 is connected to the buffer 5. The upper end surface of the rope coiling box body 7 is provided with a handle 4, which is convenient for operators to quickly carry and move the rope coiling box and improve work efficiency.

[0387] It is worth mentioning that the rope coiling box body 7 may be provided with a display screen for displaying status information, such as text information such as "over-limit status" and "under-limit status". Alternatively, an indicator light may be provided to provide prompts by setting indicator lights of different colors, sound alarms, etc.

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

[0389] It is worth mentioning that the threshold comparison module compares data in real time to determine whether the current state is dangerous; the trend analysis module infers the safety state within a certain period of time in the future based on existing data and historical data; if either the threshold comparison module or the trend analysis module determines that the current state is unsafe, then it is a dangerous state.

[0390] See also Figure 3 The present invention provides a control method for an intelligent safety rope control system, comprising:

[0391] Step 101: Acquire operation safety sensor data of safety equipment.

[0392] Step 102: Process the equipment life status results and use the operation safety sensor data to perform operation behavior safety assessment.

[0393] Step 103, the identity authentication result is processed, and a safety determination is performed in combination with the operation behavior evaluation result and the equipment life status result. When the safety determination result meets the preset unpacking requirements, the rope coiling box is opened to obtain the safety rope 2.

[0394] In the embodiment of the present invention, the operation safety sensor data of the safety equipment is obtained through the sensor module, and then the equipment life status of the safety equipment is evaluated through the intelligent analysis module, and the operation safety sensor data is used to evaluate the operation behavior safety, and finally the identity authentication is performed through the rope box, and the identity authentication result is processed to obtain the identity authentication result, and the safety judgment is performed in combination with the operation behavior evaluation result and the equipment life status result. When the safety judgment result meets the preset unpacking requirements, the rope box is opened to obtain the safety rope 2. It can avoid the situation that the operator is afraid of trouble or has a fluke mentality and there is an irregular use of safety equipment. Before the operator does not wear the safety equipment reasonably and compliantly, the rope box cannot be opened to work normally, the safety behavior of the operator is standardized, the safety is improved, and the technical problem that the irregular use of safety equipment cannot be prevented in time before the formal operation in the prior art, resulting in safety risks, is solved.

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

[0396] When the operator arrives at the workplace, he / she first puts on the full-body safety belt, fastens the safety buckle in compliance, and uses the Hall effect sensor to check the fastening integrity; then he / she puts on the safety helmet in compliance, and uses the photoelectric sensor to check that the operator's heart rate and blood pressure values ​​are within the normal threshold, then it can be determined that the safety helmet has been put on; the next step is to process the fixed joint 1, firstly, the closed loop state of the hook of the fixed joint 1 is determined by the Hall sensor set on the fixed joint 1, and when it meets the regulations, the fixed joint 1 is determined to be higher than the full-body safety belt according to the tilt sensor set on the fixed joint 1 and the full-body safety belt, thereby achieving a high-hanging and low-use state; when the full-body safety belt, safety helmet and fixed joint 1 are operated in compliance, that is, the evaluation values ​​of the threshold comparison module have all been compliant and reached a safe state,

[0397] At the same time, the life threshold data of the equipment is set in the system. Each piece of safety equipment has a corresponding service life. When the current safety equipment reaches or exceeds the service life, it will be identified as a failure state. The threshold comparison module will set the state to an unsafe state, so that the rope box cannot be opened until a new device is replaced and the system life threshold data is reset and it is enabled normally again.

[0398] Then, identity authentication is performed. When the identity authentication result is that the authentication is passed, the preset unpacking requirements have been met, and the rope coiling box can be opened. After the full-body safety belt is manually connected to the buffer 5, normal construction work can be carried out.

[0399] Real-time monitoring will also be carried out during the construction process, and the physical condition of the workers will be obtained through the heart rate and blood pressure sensors installed in the safety helmets to avoid accidents caused by illness or harsh working environment.

[0400] The working environment safety assessment is performed by using the wind speed, temperature, acceleration of the working environment obtained by the full-body safety belt and the tension sensor set on the fixed joint 1. When the working environment is in an over-limit state or under-limit state, the alarm buzzer 10 will be activated to give an alarm reminder so that corresponding safety measures can be taken as soon as possible;

[0401] At the same time, the weak wires in series are embedded in the belt body of the full-body safety belt and the rope body of the safety rope 2 to monitor their operating status in real time by sensing the voltage through the Hall voltage sensor. The weak wires are embedded in the edges of the belt body of the full-body safety belt and the rope body of the safety rope 2. When they are damaged due to aging or gravity, the weak wires will be broken, thereby forming a circuit break. At this time, if the equipment integrity assessment result is an over-limit state or an under-limit state, the alarm buzzer 10 will be activated to give an alarm reminder so that corresponding safety measures can be taken as soon as possible;

[0402] At the same time, a trend analysis module is set up to perform trend analysis based on the operating safety sensor data set within the preset period of time of the safety equipment. When the trend evaluation result is an unsafe trend state, a buzzer alarm is issued so that the operating personnel can take preventive measures in advance to avoid potential safety accidents.

[0403] The sensor data before and during construction is stored and recorded, and operators are periodically scored based on the recorded data, which helps operators develop good habits for safe construction. The status of the stored records can be retrieved and used in the program of the mobile device and the master control system.

[0404] During construction work, each time an operator receives a corresponding work task, the sensor data must be transmitted and saved accordingly, and the rope box must be opened to ensure that the operator uses the intelligent safety rope control system every time he works.

[0405] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0406] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0407] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent safety rope control system, characterized in that: It includes a sensor module, an intelligent analysis module and a rope box which are communicatively connected with each other; The sensor module is used to obtain the operation safety sensor data of the safety equipment; The intelligent analysis module is used to process and obtain equipment life status results, and use the operation safety sensor data to perform operation behavior safety assessment; The rope coiling box is used to process the identity authentication result and make a safety determination in combination with the operation behavior evaluation result and the equipment life status result. When the safety determination result meets the preset unpacking requirement, the rope coiling box is opened to obtain the safety rope.

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 security device obtained in advance with the preset device life threshold data to obtain a device life status result; The second threshold comparison unit is used to use the operation safety sensor data and the associated first preset safety threshold to perform operation behavior safety assessment to obtain the operation 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 compare the actual usage time data of the safety device obtained in advance with the preset device life threshold data; The first processing subunit is configured to use the failure state as the device life state result when the actual usage time data is greater than or equal to the preset device life threshold data; The second processing subunit is used to use the available state as the device life state result when the actual usage time data is less than the preset device life 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 value operator unit, a first difference operator unit, a third processing subunit, a fourth processing subunit and a fifth processing subunit; The first preset safety threshold includes a first preset upper threshold and a first preset lower threshold; The first mean value operation subunit is used to perform mean value operation using the first preset upper threshold value and the first preset lower threshold value to obtain a first safety standard mean value; The first difference operation subunit is used to perform a difference operation on the operation safety sensor data and the first safety standard mean value to obtain a first target difference value; The third processing subunit is used to use the safe operation behavior state as the operation behavior evaluation result when the operation safety sensor data is greater than or equal to the first preset lower threshold value and the operation safety sensor data is less than or equal to the first preset upper threshold value; The fourth processing subunit is configured to use the over-limit state as the operation behavior evaluation result when the first target difference is greater than a first preset difference threshold and the operation safety sensor data is greater than the first preset upper limit threshold; The fifth processing subunit is used to use the under-limit state as the operation behavior evaluation result when the first target difference is smaller than the first preset difference threshold and the operation safety sensor data is smaller than the first preset lower limit threshold.

5. The intelligent safety rope control system according to claim 4, characterized in that: The safety equipment includes a safety helmet, a full-body safety belt, the safety rope and a fixed joint; The work safety sensor data for work behavior safety assessment includes heart rate and blood pressure sensor data, safety buckle Hall data of the full-body safety belt, inclination data between the fixed joint and the full-body safety belt, and hook closed-loop status data of the fixed joint.

6. The intelligent safety rope control system according to claim 5, characterized in that: The rope coiling box includes a rope coiling box body, an intelligent lock and a safety determination module; The rope coiling box body is provided with the smart lock and the safety determination module; The safety rope is arranged in the rope coiling box body; The smart lock is used to authenticate the identity of the operator and obtain an identity authentication result, wherein the identity authentication result includes a verification pass or a verification failure; The safety determination module is used to perform safety determination according to the identity authentication result, in combination with the operation behavior evaluation result and the equipment life status result, and when the safety determination result meets the preset unpacking requirement, the rope coiling box is opened to obtain the safety rope; The preset unpacking requirements specifically include that the identity authentication result is a passed verification, the operation behavior assessment result is a safe operation behavior status, and the equipment life status result is an available status.

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

8. The intelligent safety rope control system according to claim 7, characterized in that: The third threshold comparison unit includes a second mean value operator unit, a second difference operator unit, a sixth processing subunit, a seventh processing subunit and an eighth processing subunit; The second preset safety threshold includes a second preset upper threshold and a second preset lower threshold; The second mean value operation subunit is used to perform mean value operation using the second preset upper threshold value and the second preset lower threshold value to obtain a second safety standard mean value; The second difference operation subunit is used to perform a difference operation on the operation safety sensor data and the second safety standard mean value to obtain a second target difference value; The sixth processing subunit is used to use the safety environment state as the work environment assessment result when the operation safety sensor data is greater than or equal to the second preset lower threshold and the operation safety sensor data is less than or equal to the second preset upper threshold; The seventh processing subunit is configured to use the over-limit state as the work environment assessment result when the second target difference is greater than a second preset difference threshold and the work safety sensor data is greater than the second preset upper limit threshold; The eighth processing subunit is used to use 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 operation safety sensor data is less than the second preset lower limit threshold.

9. The intelligent safety rope control system according to claim 8, characterized in that: The work safety sensor data for work environment safety assessment includes the 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.

10. The intelligent safety rope control system according to claim 5, characterized in that: Also includes: The threshold comparison module further includes a fourth threshold comparison unit; The fourth threshold comparison unit is used to use the operation safety sensor data and the associated third preset safety threshold to perform equipment integrity safety assessment to obtain an equipment integrity assessment result; The rope coiling box is also used to use the equipment integrity assessment result to make an early warning judgment, and when the second early warning judgment result meets the second preset early warning requirement, a buzzer alarm is sounded; The second preset warning requirement is specifically that the equipment integrity assessment result is in an over-limit state or an under-limit state.

11. The intelligent safety rope control system according to claim 10, characterized in that: The fourth threshold comparison unit includes a third mean value operator unit, a third difference operator unit, a ninth processing subunit, a tenth processing subunit and an eleventh processing subunit; The third preset safety threshold includes a third preset upper threshold and a third preset lower threshold; The third mean value operation subunit is used to perform mean value operation using the third preset upper threshold value and the third preset lower threshold value to obtain a third safety standard mean value; The third difference operation subunit is used to perform a difference operation between the operation safety sensor data and the third safety standard mean value to obtain a third target difference value; The ninth processing subunit is configured to use the safety environment state as the equipment integrity assessment result when the operation safety sensor data is greater than or equal to the third preset lower threshold value and the operation safety sensor data is less than or equal to the third preset upper threshold value; The tenth processing subunit is configured to use the over-limit state as the equipment integrity assessment result when the third target difference is greater than a third preset difference threshold and the operation safety sensor data is greater than the third preset upper limit threshold; The eleventh processing subunit is used to use the under-limit state as the equipment integrity assessment result when the third target difference is less than the third preset difference threshold and the operation safety sensor data is less than the third preset lower limit threshold.

12. The intelligent safety rope control system according to claim 10, characterized in that: The operation safety sensor data for equipment integrity safety assessment includes the belt body Hall data of the full-body safety belt and the rope body Hall data of the safety rope.

13. 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 on the operational safety sensor data set within a preset period of time of the safety equipment to obtain a trend evaluation result; The rope coiling box is further used to use the trend evaluation result to make an early warning judgment, and when the third early warning judgment result meets the third preset early warning requirement, a buzzer alarm is sounded; The third preset warning requirement is specifically that the trend assessment result is an unsafe trend state.

14. The intelligent safety rope control system according to claim 13, 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 operation safety sensor data within a preset time period of the safety device to obtain an operation safety sensor data set; The first data type determination submodule is used to perform mean calculation using the operation safety sensor data set to obtain a first mean value when the data type of the operation safety sensor data set is not acceleration sensor data; The first trend indicator submodule is used to perform a difference operation between the first mean value and the mean value data associated with the previous preset time period to obtain a first trend indicator; The second data type determination submodule is used to perform an acceleration trend analysis operation based on the operation safety sensor data set to obtain a second trend indicator when the data type of the operation safety sensor data set is acceleration sensor data; The trend evaluation result submodule is used to respectively use the first trend indicator and the second trend indicator and the associated preset trend indicator threshold interval to perform trend status evaluation to obtain a trend evaluation result.

15. The intelligent safety rope control system according to claim 14, characterized in that: The second data type determination 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 the operation safety sensor data points arranged in the order of collection time of each operation safety sensor data within a preset time period when the data type of the operation safety sensor data set is acceleration sensor data; Wherein, the operation safety sensor data point has the collection time as the horizontal coordinate point and the operation safety sensor data as the vertical coordinate point; The first matrix unit is used to construct a first matrix using the collection time within the operation safety sensor data point as a column vector and a preset constant as a supplementary column vector; The target vector unit is used to construct a target vector using the operation safety sensor data in the operation safety sensor data point as a column vector; The second trend indicator unit is used to determine a second trend indicator using the first matrix and the target vector.

16. The intelligent safety rope control system according to claim 15, characterized in that: The second trend indicator unit includes a transposition 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 transposed matrix subunit is used to solve the transposed matrix of the first matrix; The second matrix subunit is used to perform a multiplication operation on the transposed matrix and the first matrix to obtain a second matrix; The target inverse matrix subunit is used to invert the second matrix to obtain a target inverse matrix; The third matrix subunit is used to perform a multiplication operation between the transposed matrix and the target vector to obtain a third matrix; The coefficient vector subunit is used to perform a multiplication operation on the third matrix and the target inverse matrix to obtain a coefficient vector; The slope extraction subunit is used to extract a target slope from the coefficient vector as a second trend indicator.

17. The intelligent safety rope control system according to claim 14, 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 interval includes a first preset trend indicator threshold interval and a second preset trend indicator threshold interval; The first judging unit is used to judge whether the first trend indicator is within the first preset trend indicator threshold range, and generate a first evaluation result; The second judging unit is used to judge whether the second trend indicator is within the second preset trend indicator threshold range, and generate a second evaluation result; The first trend evaluation unit is configured to use the safety trend state as the trend evaluation result when the first evaluation result is that the first trend indicator is within the first preset trend indicator threshold range, and the second evaluation result is that the second trend indicator is within the second preset trend indicator threshold range; The second trend evaluation unit is used to take the unsafe trend state as the trend evaluation result when the first evaluation result is that the first trend indicator is not within the first preset trend indicator threshold range, or the second evaluation result is that the second trend indicator is not within the second preset trend indicator threshold range.

18. The intelligent safety rope control system according to claim 6, characterized in that: The upper end surface of the rope coiling box body is provided with an alarm buzzer; One end of the safety rope is passed through one side of the rope coiling box body and is provided with a connecting buckle, and the connecting buckle is used to connect the full-body safety belt; The rope coiling box body is provided with a buffer and a regulator; The buffer is arranged at one end close to the connecting buckle, and is used to be connected in series between the tether and the hanging point of the safety rope to absorb and disperse the impact energy during falling; The regulator is arranged at the middle of the safety rope, and 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 coiling box body and is provided with the fixed joint; A closing magnet is provided at the connection between the fixing joint and the safety rope to assist the fixing joint in closing or locking; The upper end surface of the rope coiling box body is provided with a handle.

19. The intelligent safety rope control system according to claim 6, 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 connection subunit, used to retrieve a mobile device matching the operator and establish a Bluetooth connection; A verification information receiving subunit receives the identity verification information of the operator via Bluetooth; An information comparison subunit compares the identity verification information with preset legitimate user information; The verification subunit, when the identity verification information is compared and consistent with the preset legal user information, takes the verification as the identity verification result; The verification failure subunit takes the verification failure as the identity verification result when the identity verification information is inconsistent with the preset legal user information.

20. A control method for the intelligent safety rope control system according to any one of claims 1 to 19, characterized in that: include: Acquire operational safety sensor data of safety equipment; Processing to obtain equipment life status results, and using work safety sensor data to conduct work behavior safety assessment; The identity authentication result is processed and combined with the operation behavior assessment result and the equipment life status result to make a safety judgment. When the safety judgment result meets the preset unpacking requirements, the rope box is opened to obtain the safety rope.

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