Cable accessory manufacturing control system based on smart wearable device

CN116704214BActive Publication Date: 2026-10-16GUANGDONG CHENGYU ENG CONSULTING SUPERVISION CO LTD
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Patent Information

Application Number
CN202310822340.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-07-06
Publication Date
2026-10-16
Estimated Expiration
2043-07-06

AI Technical Summary

Technical Problem

[0004]然而,现有的检测方式仅仅适用批量化的制作过程,且每个产品适用的工装不同,因此在抽查或者安装检测过程中,难以适配不同产品的检测,而采用电能表进行通断检测的方法,虽然能够判断其是否存在通断问题,但操作复杂度及对其传输性能的判断导致检测结果参考性较差

Benefits of technology

[0053] (1) Based on visual recognition technology and smart wearable technology, the present invention integrates the detection system in the cable accessory manufacturing process into the detection glove. The acquisition component collects the core wire color information of the cable accessory, and the control module executes the corresponding control strategy according to the collected cable accessory color information, and then judges the status of the cable accessory according to the detection electrical performance parameters under the corresponding control strategy.

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Abstract

The application relates to the technical field of cable accessory manufacturing, and particularly discloses a cable accessory manufacturing control system based on an intelligent wearable device, which comprises a detection glove, a control module and a connecting piece. The detection glove comprises a glove body, a collecting assembly and a contact conductor. The collecting assembly and the contact conductor are arranged on the glove body. The collecting assembly is used for collecting color information of a core wire in a cable accessory. The contact conductor is used for contacting and electrically connecting with the cable accessory. The control module is used for executing a corresponding control strategy according to the collected color information of the cable accessory, and judging a state of the cable accessory according to a detected electrical performance parameter under the corresponding control strategy. The control module is provided with the connecting piece connected with the cable accessory. The transmission performance state of the cable accessory is judged by detecting the electrical performance parameter, and the judgment result is more comprehensive compared with a conventional single on-off detection.
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Description

Technical Field

[0001] This invention relates to the field of cable accessory manufacturing technology, specifically to a cable accessory manufacturing control system based on smart wearable devices. Background Technology

[0002] Cable branch joints are an essential cable accessory in the actual cable laying process. They are pre-divided according to the functional categories of different core wires in the cable to achieve different connection functions. During the manufacturing and installation of cable accessories, it is necessary to judge the condition of the product and monitor the environmental conditions during the manufacturing and installation process. If moisture or impurities are present on the surface of the cable insulation during the manufacturing or installation process, it can easily cause partial discharge or water treeing problems in long-term operating cables, leading to cable failure.

[0003] Existing cable accessory testing methods mainly involve matching and installing the cable accessories on a special fixture for testing. The cable accessories are then tested by measuring continuity data.

[0004] However, existing testing methods are only applicable to mass production processes, and each product requires different tooling. Therefore, it is difficult to adapt to the testing of different products during spot checks or installation tests. While the method of using an electricity meter for continuity testing can determine whether there is a continuity problem, the complexity of operation and the assessment of its transmission performance result in poor reliability of the test results. Summary of the Invention

[0005] The purpose of this invention is to provide a cable accessory manufacturing control system based on smart wearable devices, and to solve the following technical problems:

[0006] How to improve the convenience and comprehensiveness of cable accessory testing?

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A cable accessory manufacturing control system based on smart wearable devices, the system comprising:

[0009] The testing gloves include an insulating glove body, a sampling component, and a contact conductor;

[0010] The acquisition component and contact conductor are mounted on the insulating glove body. The acquisition component is used to acquire the color information of the core wire in the cable accessory. The contact conductor is used to make contact with the cable accessory and establish electrical connection.

[0011] The control module is used to execute the corresponding control strategy based on the collected color information of the cable accessories, and to judge the status of the cable accessories based on the detected electrical performance parameters under the corresponding control strategy.

[0012] The control module is equipped with a connector for connecting to cable accessories.

[0013] In one embodiment, the process of determining the control strategy is as follows:

[0014] The cable label color and detection control parameters are set in advance according to the type of core wire in the cable accessories. The detection parameters include the energizing voltage U1 and the energizing adjustment voltage U2.

[0015] The image information of the core wire tag is acquired by the acquisition component and identified. The corresponding detection control parameters are selected according to the identified color.

[0016] The control strategy is as follows:

[0017] When the contact conductor comes into contact with the core wire, the control voltage is U1 for a duration of t1; then the voltage is adjusted from U1 to U2 within a duration of t2, and the current and resistance data within the time periods of t1 and t2 are obtained, which will be used as the electrical performance parameters for testing.

[0018] In one embodiment, the process of determining the status of cable accessories includes:

[0019] Through formula Calculate and obtain the risk value V of cable accessories risk ;

[0020] Based on the risk value V of cable accessories risk And to determine the condition of cable accessories by detecting electrical performance parameters;

[0021] Where n is the number of measurement points uniformly selected within time periods t1 and t2, i∈[1,n]; R i Ri represents the resistance value at the i-th measurement point; R0 represents the standard resistance value of the cable accessory; I(t) represents the real-time current magnitude. for The corresponding time points are: I0 is the standard value for time period t1; I1(t) is the standard change for time period t2; p1 and p2 are the first weighting coefficients; q1 and q2 are the second weighting coefficients; t 1s Let t1 be the starting point of the time interval, and t 1e Let t1 be the end point of the time interval, and t 2s Let t2 be the starting point of the time interval. 2e Let t be the end point of time interval t2, and t 1e =t 2s δ is the correction factor.

[0022] In one embodiment, the process of determining the status of cable accessories further includes:

[0023] S1, [max{R]i}, min{R i}] and the standard interval [R0-R th R0+R th Compare:

[0024] If [max{R i}, min{R i}]∈[R0-R th R0+R th If the condition is met, proceed to step S3;

[0025] Otherwise, the cable accessory is deemed to be in an abnormal condition;

[0026] Where, max{R i} represents R during time periods t1 and t2. i Maximum value, mmin{R i} represents R during time periods t1 and t2. i Minimum value; R th This is the standard error;

[0027] S2. Compare [max{I(t)}, mmin{I(t)}] with the standard interval [I0-I... th ,I0+I th Compare:

[0028] If [max{I(t)}, mmin{I(t)}]∈[I0-I th ,I0+I th If the condition is met, proceed to step S3;

[0029] Otherwise, the cable accessory is deemed to be in an abnormal condition;

[0030] Where max{I(t)} is the maximum value of I(t) within time intervals t1 and t2, and mmin{I(t)} is the minimum value of I(t) within time intervals t1 and t2; th This is the standard error;

[0031] S3, Risk value V for cable accessories risk With preset threshold V thr Comparison:

[0032] If V risk ≥V thr If so, the cable accessory is determined to be in an abnormal state.

[0033] In one embodiment, the system further includes a fixed environment monitoring module and an active environment monitoring module;

[0034] The fixed environment monitoring module is used to monitor the environmental parameters of fixed sites at the cable accessory manufacturing site.

[0035] The activity environment monitoring module is installed on the insulating glove body and is used to monitor the environmental parameters of the activity location;

[0036] The control module is used to analyze environmental parameters and issue commands to adjust the environmental conditions for cable accessory manufacturing based on the analysis results.

[0037] In one embodiment, the environmental parameters include dust concentration, ambient humidity, and ambient temperature;

[0038] The process by which the control module analyzes environmental parameters includes:

[0039] Step 1: Compare the environmental parameters of both fixed and active locations with the corresponding environmental parameter thresholds for the production environment.

[0040] When the environmental parameters of both the fixed location and the active location meet the corresponding environmental parameter thresholds, proceed to step two.

[0041] Otherwise, proceed to step three;

[0042] Step 2: Compare and analyze the environmental parameters of the fixed location with those of the activity location. Adjust the air circulation in the production environment based on the results of the comparison and analysis, and then proceed to Step 3.

[0043] Step 3: Issue adjustment commands to the environmental conditions for cable accessory manufacturing based on the categories of environmental parameters that do not meet the parameter thresholds and their corresponding parameter thresholds.

[0044] In one embodiment, the process of adjusting the air circulation in step two includes:

[0045] Through formula Calculate and obtain the cyclic quantity adjustment coefficient L T (t);

[0046] Based on the cycle volume adjustment coefficient L T (t) is compared with the preset threshold interval set, according to L T Select the corresponding adjustment within the preset threshold range where (t) is located;

[0047] Where j∈[1,3]; Δt is a preset fixed time period; E rj (t) represents the environmental parameter value of the j-th fixed point; E sj (t) represents the environmental parameter value of the j-th activity point; x j is the correction coefficient for the j-th environmental parameter.

[0048] In one embodiment, the process of issuing the adjustment command in step three includes:

[0049] Single-factor analysis is performed on environmental parameter categories that do not meet the parameter thresholds. The process of single-factor analysis is as follows:

[0050] Through formula The adjustment coefficient L for the k-th environmental parameter is calculated. k (t);

[0051] According to L k (t) is compared with the preset threshold interval set, according to L k Select the corresponding adjustment within the preset threshold range where (t) is located;

[0052] Where k∈[1,m], m is the number of environmental parameter items that do not meet the parameter threshold; E tk Let be the standard interval for the k-th environmental parameter, w be the judgment function, and w(A, B) represent the minimum difference between the value A and any value in interval B; t1 is the first time point, t2 is the second time point, and t-t1 = t2-t1 = Δt x ;Δt x For preset reference time period; f k Let f be the correction function corresponding to the k-th environmental parameter, and f k It is a decreasing function, and 1 < f k <1.21. Beneficial effects of the present invention:

[0053] (1) Based on visual recognition technology and smart wearable technology, the present invention integrates the detection system in the cable accessory manufacturing process into the detection glove. The acquisition component collects the core wire color information of the cable accessory, and the control module executes the corresponding control strategy according to the collected cable accessory color information, and then judges the status of the cable accessory according to the detection electrical performance parameters under the corresponding control strategy.

[0054] (2) The present invention can more accurately judge the environmental conditions and better ensure the quality of the cable accessory manufacturing or installation process. Attached Figure Description

[0055] The invention will now be further described with reference to the accompanying drawings.

[0056] Figure 1 This is a logic block diagram of the cable accessory manufacturing control system of the present invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Please see Figure 1 As shown, in one embodiment, a cable accessory manufacturing control system based on a smart wearable device is provided, the system comprising:

[0059] The testing gloves include an insulating glove body, a sampling component, and a contact conductor;

[0060] The acquisition component and contact conductor are mounted on the insulating glove body. The acquisition component is used to acquire the color information of the core wire in the cable accessory. The contact conductor is used to make contact with the cable accessory and establish electrical connection.

[0061] The control module is used to execute the corresponding control strategy based on the collected color information of the cable accessories, and to judge the status of the cable accessories based on the detected electrical performance parameters under the corresponding control strategy.

[0062] The control module is equipped with a connector for connecting to cable accessories.

[0063] Through the above technical solution, this embodiment integrates the detection system in the cable accessory manufacturing process into the inspection glove based on visual recognition technology and smart wearable technology. The system collects the color information of the core wires in the cable accessory through a data acquisition component. The control module executes the corresponding control strategy based on the collected color information and then judges the status of the cable accessory based on the detected electrical performance parameters under the corresponding control strategy. In this process, the detection does not need to follow a preset sequence, greatly reducing the difficulty of detection. Furthermore, the integration of the contact conductor into the inspection glove facilitates the clamping and fixing of the cable accessory. More importantly, this embodiment sets different control strategies according to the function of different core wires, judging their transmission performance status by detecting electrical performance parameters. Compared to conventional single continuity detection, the judgment result is more comprehensive. At the same time, the system settings in this embodiment are applicable to different manufacturing and installation scenarios of cable accessories, thus achieving its applicability and convenience in special usage scenarios.

[0064] As one embodiment of the present invention, the process of determining the control strategy is as follows:

[0065] The cable label color and detection control parameters are set in advance according to the type of core wire in the cable accessories. The detection parameters include the energizing voltage U1 and the energizing adjustment voltage U2.

[0066] The image information of the core wire tag is acquired by the acquisition component and identified. The corresponding detection control parameters are selected according to the identified color.

[0067] The control strategy is as follows:

[0068] When the contact conductor comes into contact with the core wire, the control voltage is U1 for a duration of t1; then the voltage is adjusted from U1 to U2 within a duration of t2, and the current and resistance data within the time periods of t1 and t2 are obtained, which will be used as the electrical performance parameters for testing.

[0069] Through the above technical solution, this embodiment provides a process for determining a control strategy. The cable tag color and detection control parameters are pre-set according to the type of core wire in the cable accessory. The detection parameters include the energizing voltage U1 and the energizing adjustment voltage U2. The image information of the core wire tag is acquired and identified by the acquisition component, and the corresponding detection control parameter is selected based on the identified color. When the contact conductor contacts the core wire, the control voltage is U1 for a duration t1. Then, the voltage is adjusted from U1 to U2 within a duration t2, obtaining current and resistance data during periods t1 and t2, which are used as detection electrical performance parameters. By acquiring the changes in electrical performance parameters under stable and voltage-boosted conditions, and then analyzing and judging through the detection electrical performance parameters, the state of the cable accessory can be evaluated more comprehensively and accurately.

[0070] It should be noted that the electrical performance parameters under the detection parameters are all test data, so their values ​​are all within the safe voltage range for the human body, and are isolated by insulating gloves, thus ensuring the safety of the system.

[0071] As one embodiment of the present invention, the process of determining the status of cable accessories includes:

[0072] Through formula Calculate and obtain the risk value V of cable accessories risk ;

[0073] Based on the risk value V of cable accessories risk And to determine the condition of cable accessories by detecting electrical performance parameters;

[0074] Where n is the number of measurement points uniformly selected within time periods t1 and t2, i∈[1,n]; R i Ri represents the resistance value at the i-th measurement point; R0 represents the standard resistance value of the cable accessory; I(t) represents the real-time current magnitude. for The corresponding time points are: I0 is the standard value for time period t1; I1(t) is the standard change for time period t2; p1 and p2 are the first weighting coefficients; q1 and q2 are the second weighting coefficients; t 1s Let t1 be the starting point of the time interval, and t 1e Let t1 be the end point of the time interval, and t 2s Let t2 be the starting point of the time interval. 2e Let t be the end point of time interval t2, and t 1e =t2s δ is the correction factor.

[0075] The process of determining the condition of cable accessories also includes:

[0076] S1, [max{R] i}, min{R i}] and the standard interval [R0-R th R0+R th Compare:

[0077] If [max{R i}, mmin{R i}]∈[R0-R th R0+R th If the condition is met, proceed to step S3;

[0078] Otherwise, the cable accessory is deemed to be in an abnormal condition;

[0079] Where, max{R i} represents R during time periods t1 and t2. i Maximum value, mmin{R i} represents R during time periods t1 and t2. i Minimum value; R th This is the standard error;

[0080] S2. Compare [max{I(t)}, mmin{I(t)}] with the standard interval [I0-I... th ,I0+I th Compare:

[0081] If [max{I(t)}, mmin{I(t)}]∈[I0-I th ,I0+I th If the condition is met, proceed to step S3;

[0082] Otherwise, the cable accessory is deemed to be in an abnormal condition;

[0083] Where max{I(t)} is the maximum value of I(t) within time intervals t1 and t2, and mmin{I(t)} is the minimum value of I(t) within time intervals t1 and t2; th This is the standard error;

[0084] S3, Risk value V for cable accessories risk With preset threshold V thr Comparison:

[0085] If V risk ≥V thr If so, the cable accessory is determined to be in an abnormal state.

[0086] Through the above technical solution, this embodiment provides a process for judging the status of cable accessories. First, the acquired individual electrical performance parameters are judged, and [max{R i}, mmin{R i}] and the standard interval [R0-R th R0+R th If the comparison is not within the standard range, it indicates that there is damage to cable accessories or other abnormal conditions. Similarly, compare [max{I(t)}, mmin{I(t)}] with the standard range [I0-I... th ,I0+I th If the comparison is performed and the result is outside the standard range, it indicates an abnormality in the condition of the cable accessories. If the result meets the requirements, the cable accessory risk value V will be used. risk To make a judgment, specifically, the risk value V of the cable accessories. risk The analysis and judgment are based on the deviation of resistance and current and the stability of electrical performance data during time periods t1 and t2. Specifically, among them... This indicates an out-of-tolerance resistance condition. R0 is the value of this core wire under standard conditions, which is obtained according to the corresponding core wire standard. This represents the fluctuating state of the current during time periods t1 and t2. This represents the out-of-tolerance status of the current during time periods t1 and t2. Here, q1 and q2 are obtained by fitting the current data for time periods t1 and t2 from the test data. Therefore, the risk value V of the cable accessory is used. risk The calculation process enables the assessment of the risk status of cable accessories.

[0087] It should be noted that the first weighting coefficients p1, p2, and correction coefficient δ in the above technical solution are set based on empirical data fitting; the standard error R th The standard value I0 for time period t1 is set based on the range of qualified product test data; the preset threshold V thr The risk value of the cable accessory is obtained by substituting the parameters under the critical state into the formula, which will not be elaborated here.

[0088] As one embodiment of the present invention, the system further includes a fixed environment monitoring module and an active environment monitoring module;

[0089] The fixed environment monitoring module is used to monitor the environmental parameters of fixed sites at the cable accessory manufacturing site.

[0090] The activity environment monitoring module is installed on the insulating glove body and is used to monitor the environmental parameters of the activity location;

[0091] The control module is used to analyze environmental parameters and issue commands to adjust the environmental conditions for cable accessory manufacturing based on the analysis results.

[0092] Through the above technical solution, the system in this embodiment also includes an environmental monitoring module to monitor the environmental conditions during the cable accessory manufacturing or installation process. In the prior art, an environmental monitoring system is set up in the processing workshop during manufacturing, and a temporary cleanroom is also set up during installation to ensure the installation environment. However, the monitoring results of the fixed environmental monitoring module may be biased due to the mobility of the equipment. Therefore, this embodiment sets up a fixed environmental monitoring module and a moving environmental monitoring module. The fixed environmental monitoring module is used to monitor the environmental parameters of fixed locations at the cable accessory manufacturing site, while the moving environmental monitoring module is set on the insulating glove to monitor the environmental parameters of moving locations. A control module is used to analyze the environmental parameters and then issue an environmental condition adjustment command for cable accessory manufacturing based on the analysis results. In this process, by combining the scene environmental parameters (environmental parameters of fixed locations) and real-time environmental parameters (environmental parameters of moving locations) in the analysis process, the environmental conditions can be judged more accurately, thus better ensuring the quality of the cable accessory manufacturing or installation process.

[0093] In one embodiment of the present invention, the environmental parameters include dust concentration, ambient humidity, and ambient temperature;

[0094] The process by which the control module analyzes environmental parameters includes:

[0095] Step 1: Compare the environmental parameters of both fixed and active locations with the corresponding environmental parameter thresholds for the production environment.

[0096] When the environmental parameters of both the fixed location and the active location meet the corresponding environmental parameter thresholds, proceed to step two.

[0097] Otherwise, proceed to step three;

[0098] Step 2: Compare and analyze the environmental parameters of the fixed location with those of the activity location. Adjust the air circulation in the production environment based on the results of the comparison and analysis, and then proceed to Step 3.

[0099] Step 3: Issue adjustment commands to the environmental conditions for cable accessory manufacturing based on the categories of environmental parameters that do not meet the parameter thresholds and their corresponding parameter thresholds.

[0100] Through the above technical solution, the environmental parameters to be detected in this embodiment mainly include dust concentration, ambient humidity, and ambient temperature. The specific analysis process first compares the environmental parameters at fixed points and active points with the corresponding environmental parameter thresholds of the manufacturing environment. When the environmental parameters at both fixed and active points meet the corresponding environmental parameter thresholds, step two is performed. Step two compares the environmental parameters at fixed and active points with the corresponding environmental parameter thresholds of the manufacturing environment, adjusts the air circulation in the manufacturing environment based on the comparison analysis results, and then proceeds to step three. Step three issues adjustment commands to the environmental conditions for cable accessory manufacturing based on the categories of environmental parameters that do not meet the parameter thresholds and their corresponding parameter thresholds.

[0101] As one embodiment of the present invention, the process of adjusting the air circulation in step two includes:

[0102] Through formula Calculate and obtain the cyclic quantity adjustment coefficient L T (t);

[0103] Based on the cycle volume adjustment coefficient L T (t) is compared with the preset threshold interval set, according to L T Select the corresponding adjustment within the preset threshold range where (t) is located;

[0104] Where j∈[1,3]; Δt is a preset fixed time period; E rj (t) represents the environmental parameter value of the j-th fixed point; E sj (t) represents the environmental parameter value of the j-th activity point; x j is the correction coefficient for the j-th environmental parameter.

[0105] Based on the above technical solution, this embodiment provides a process for adjusting air circulation, using the formula... Calculate and obtain the cyclic quantity adjustment coefficient L T (t), adjusted according to the cycle quantity L T (t) is compared with the preset threshold interval set, according to L T The preset threshold range where (t) is located is selected for adjustment; among which, the cycle quantity adjustment coefficient is set with a corresponding correction coefficient x for different environmental parameters. j Its flowability is set based on test data fitting according to different environmental parameters. Therefore, by adjusting the coefficient through the circulation volume, it is possible to achieve the desired flow rate through L. T (t) The process of accurately adjusting the air circulation.

[0106] It should be noted that the preset fixed time period Δt in the above technical solution is selected and set based on empirical data, and will not be described in detail here.

[0107] As one embodiment of the present invention, the process of issuing the adjustment command in step three includes:

[0108] Single-factor analysis is performed on environmental parameter categories that do not meet the parameter thresholds. The process of single-factor analysis is as follows:

[0109] Through formula The adjustment coefficient L for the k-th environmental parameter is calculated. k (t);

[0110] According to L k (t) is compared with the preset threshold interval set, according to L k Select the corresponding adjustment within the preset threshold range where (t) is located;

[0111] Where k∈[1,m], m is the number of environmental parameter items that do not meet the parameter threshold; E tk Let be the standard interval for the k-th environmental parameter, w be the judgment function, and w(A, B) represent the minimum difference between the value A and any value in interval B; t1 is the first time point, t2 is the second time point, and t-t1 = t2-t1 = Δt x ;Δt x For preset reference time period; f k Let f be the correction function corresponding to the k-th environmental parameter, and f k It is a decreasing function, and 1 < f k <1.21.

[0112] Through the above technical solution, the process of issuing the adjustment command in step three of this embodiment first involves performing a single-factor analysis on the categories of environmental parameters that do not meet the parameter thresholds. The single-factor analysis process is carried out using a formula. The adjustment coefficient L for the k-th environmental parameter is calculated. k (t); according to L k (t) is compared with the preset threshold interval set, according to L k The corresponding adjustment is selected within the preset threshold range where (t) lies; where... It reflects the deviation of the numerical value. This reflects the trend of numerical change, and the comprehensive correction function f k This enables the data adjustment process; and then through L k (t) is used to implement the process of adjusting environmental parameters.

[0113] It should be noted that the preset reference time period Δt x Based on empirical data, the standard range E is selected and set. tk Based on the standard settings of the corresponding environmental parameters; correction function f kDifferent values ​​are fitted based on different trends in the data, and the results are obtained after integration. Further details will not be provided here.

[0114] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A cable accessory manufacturing control system based on smart wearable devices, characterized in that, The system includes: The testing gloves include an insulating glove body, a sampling component, and a contact conductor; The acquisition component and contact conductor are mounted on the insulating glove body. The acquisition component is used to acquire the color information of the core wire in the cable accessory. The contact conductor is used to make contact with the cable accessory and establish electrical connection. The control module is used to execute the corresponding control strategy based on the collected color information of the cable accessories, and to judge the status of the cable accessories based on the detected electrical performance parameters under the corresponding control strategy. The control module is equipped with a connector for connection to cable accessories; The process of determining the control strategy is as follows: Pre-set cable label colors and detection control parameters according to the type of core wire in the cable accessories. Detection parameters include the voltage applied. and power-on voltage adjustment ; The image information of the core wire tag is acquired by the acquisition component and identified. The corresponding detection control parameters are selected according to the identified color. The control strategy is as follows: When the contact conductor comes into contact with the core wire, the control voltage is... continued Duration; then the voltage at Within the duration of Adjust to ,get and The current and resistance data within the time period are used as parameters for detecting electrical performance. The process of determining the condition of cable accessories includes: Through formula Calculate the risk value of cable accessories ; Based on the risk value of cable accessories And to determine the condition of cable accessories by detecting electrical performance parameters; Where n is , The number of measurement points uniformly selected within the time period, i∈[1,n]; The resistance value at the i-th measurement point; The resistance value of the cable accessory is the standard value; I(t) is the real-time current magnitude. for The corresponding number of time points, for Standard values ​​for the time period; for Standard variation over a period of time; , This is the first weighting coefficient; , This is the second weighting coefficient; for The start and end points of the time period. for The end point of the time period, for The start and end points of the time period. for The end point of the time period, and , This is a correction factor.

2. The cable accessory manufacturing control system based on smart wearable devices according to claim 1, characterized in that, The process of determining the condition of cable accessories also includes: S1, will and standard range Compare: like Then proceed to step S3; Otherwise, the cable accessory is deemed to be in an abnormal condition; in, for , During the period Maximum value for , During the period Minimum value; This is the standard error; S2, will and standard range Compare: like Then proceed to step S3; Otherwise, the cable accessory is deemed to be in an abnormal condition; in, for , The maximum value of I(t) within the time period, for , Minimum value of I(t) within the time period; This is the standard error; S3, Risk values ​​for cable accessories With preset threshold Comparison: like ≥ If so, the cable accessory is determined to be in an abnormal state.

3. The cable accessory manufacturing control system based on intelligent wearable devices according to claim 1, characterized in that, The system also includes a fixed environment monitoring module and an active environment monitoring module; The fixed environment monitoring module is used to monitor the environmental parameters of fixed sites at the cable accessory manufacturing site. The activity environment monitoring module is installed on the insulating glove body and is used to monitor the environmental parameters of the activity location; The control module is used to analyze environmental parameters and issue commands to adjust the environmental conditions for cable accessory manufacturing based on the analysis results.

4. The cable accessory manufacturing control system based on intelligent wearable devices according to claim 3, characterized in that, The environmental parameters include dust concentration, ambient humidity, and ambient temperature. The process by which the control module analyzes environmental parameters includes: Step 1: Compare the environmental parameters of both fixed and active locations with the corresponding environmental parameter thresholds for the production environment. When the environmental parameters of both the fixed location and the active location meet the corresponding environmental parameter thresholds, proceed to step two. Otherwise, proceed to step three; Step 2: Compare and analyze the environmental parameters of the fixed location with those of the activity location. Adjust the air circulation in the production environment based on the results of the comparison and analysis, and then proceed to Step 3. Step 3: Issue adjustment commands to the environmental conditions for cable accessory manufacturing based on the categories of environmental parameters that do not meet the parameter thresholds and their corresponding parameter thresholds.

5. The cable accessory manufacturing control system based on intelligent wearable devices according to claim 4, characterized in that, Step two, the process of adjusting the air circulation, includes: Through formula Calculate and obtain the cycle quantity adjustment coefficient ; Adjust the coefficient based on the circulation volume. Compare with a preset threshold interval set, and according to Select the corresponding adjustment within the preset threshold range; Where, j∈[1,3]; For preset fixed time periods; Let j be the environmental parameter value of the fixed point; This represents the environmental parameter value for the j-th activity location; is the correction coefficient for the j-th environmental parameter.

6. The cable accessory manufacturing control system based on intelligent wearable devices according to claim 4, characterized in that, The process of issuing adjustment commands in step three includes: Single-factor analysis is performed on environmental parameter categories that do not meet the parameter thresholds. The process of single-factor analysis is as follows: Through formula Calculate the adjustment coefficient of the kth environmental parameter. ; according to Compare with a preset threshold interval set, and according to Select the corresponding adjustment within the preset threshold range; Where k∈[1,m], and m is the number of environmental parameter items that do not meet the parameter threshold; Let w be the standard interval of the k-th environmental parameter, w be the judgment function, and w(A, B) represent the minimum difference between the value A and any value in the interval B. As the first time point, This is the second time point. ; This is a preset reference time period; Let be the correction function corresponding to the k-th environmental parameter, and It is a decreasing function, and .

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