Method and system for capturing installation state of secondary safety measure tool of transformer substation in real time

Abstract

The invention relates to the field of state monitoring, in particular to a transformer substation secondary safety measure tool installation state real-time capturing method and system, and the method comprises the following steps: obtaining a magnetic induction vector sensor signal, calculating the magnetic induction change of adjacent time points, judging whether the change rate exceeds a threshold value or not, calculating the strain change rate, and comparing the strain change rate with the threshold value. According to the method, accurate monitoring of the tool installation state is achieved through the sensor technology and data analysis, tool approaching, contact and action time points are accurately recognized through collection and analysis of magnetic induction and strain data, and the tool installation state event data are generated. According to the tool state management method, the tool state management system and the tool state management system, the tool state management system and the tool state management system are integrated and bound and verified with the operation ticket data, so that the real-time performance and precision of monitoring are improved, human factor interference is avoided, the feedback capability of the equipment state is enhanced, safety and reliability are improved, and compared with a traditional technology, efficient and accurate tool state management is achieved, and dynamic monitoring of equipment operation is optimized.

Description

Technical Field

[0001] This invention relates to the field of condition monitoring, and in particular to a method and system for real-time capture of the installation status of secondary safety equipment in substations. Background Technology

[0002] The field of condition monitoring technology involves the identification, analysis, and tracking management of the operating status of power system equipment. Core aspects include the acquisition of power equipment operating parameters, identification of electrical connection status, acquisition and judgment of fault information, monitoring of dynamic changes during equipment operation, and real-time transmission and processing of relevant data. This technology involves deploying sensing devices to collect key operating parameters of electrical equipment or components, and then combining this with data analysis devices for status identification and alarm judgment. It is widely used in the status perception and operation and maintenance management of power transmission and transformation equipment. Among these, the traditional method for real-time capture of the installation status of secondary safety measures tools in substations refers to the means of acquiring the status of safety measures tools installed in secondary circuits during power work. The technical issue addressed by this patent is the identification and recording of the installation of secondary safety measures tools such as temporary grounding, short-circuiting, shielding, or insulation performed by workers during the operation of secondary equipment in substations. Traditional methods for acquiring the installation status of secondary safety measures tools in substations rely on manual inspections and paper work tickets. Specifically, the work supervisor records the installation and removal operations of secondary safety measures tools based on actual on-site observations and verifies the information in the work ticket to ensure compliance with safety requirements.

[0003] Existing technologies primarily rely on manual inspections and paper-based work permits to confirm the installation status of secondary safety devices. This approach suffers from drawbacks such as cumbersome operation, slow response, and susceptibility to human error. The accuracy of manual inspections is limited by the professional level of the operators and the complexity of the site environment, potentially leading to omissions or errors, increasing operational risks. Paper-based work permits, as a recording basis, are slow to update, resulting in delayed information transmission and an inability to reflect the real-time operating status of equipment. Because these traditional methods lack real-time capability and automation, they cannot respond promptly to changes in the substation equipment status, potentially delaying fault detection and handling, increasing equipment failure risks, and impacting overall operation and maintenance efficiency. Furthermore, manual inspection recording methods are easily affected by changes in the site environment, such as changes in external equipment conditions or operator fatigue, increasing the likelihood of operational errors and frequently leading to safety hazards in practice. Summary of the Invention

[0004] To address the technical problems existing in the prior art, embodiments of the present invention provide a method for real-time capture of the installation status of secondary safety measures tools in substations, comprising the following steps:

[0005] S1: Acquire the magnetic induction vector sensor signal in the terminal block shorting piece installation area, arrange the magnetic induction data according to the time sequence, calculate the change in magnetic induction direction and amplitude at adjacent time points, determine whether the rate of change exceeds the magnetic induction change rate threshold, and generate a tool proximity trigger record.

[0006] S2: Based on the time point in the tool's proximity trigger record, set a continuous monitoring time window, define the start and end times of the verification time window, and generate tool action verification time window information;

[0007] S3: Based on the tool action verification time window information, obtain the strain data of the fiber optic sensor, calculate the strain change rate and compare it with a set threshold, extract the time points higher than the set threshold as contact action nodes, and combine them with the fiber optic sensor position marker component number to generate tool contact action recognition nodes.

[0008] S4: Invoke the component number and time point in the tool contact action identification node, match them with the installation position number registered in the work ticket, verify the binding relationship between the tool and the installation position, and generate tool binding status information;

[0009] S5: Based on the tool binding status information, integrate the tool number, installation location number, and trigger time marker to generate tool installation status event data and record the tool installation status event data.

[0010] As a further aspect of the present invention, the tool proximity trigger record includes the initial time point of tool proximity, the change in magnetic induction direction, the change in magnetic induction amplitude, and the time point when the rate of change exceeds a threshold; the tool action verification time window information includes the start time and end time of the verification time window; the tool contact action identification node includes the contact action node time point, the contact action node component number, and the fiber optic sensor position; the tool binding status information includes the tool number, the installation location number, the trigger time marker, and the binding relationship verification result; the tool installation status event data includes the tool number, the installation location number, the trigger time marker, and the tool installation status record.

[0011] As a further aspect of the present invention, the specific steps of S1 are as follows:

[0012] S101: Acquire the magnetic induction vector sensor signal deployed in the terminal block shorting piece installation area, arrange the magnetic induction data in chronological order, extract the direction change and amplitude change at adjacent time points, calculate the rate of change of magnetic induction direction and amplitude, and acquire the data of magnetic induction direction and amplitude change rate.

[0013] S102: Based on the magnetic induction direction and amplitude change rate data, call the preset magnetic induction change rate threshold, judge the change rate data of all time points one by one, mark the time points with a change rate greater than the magnetic induction change rate threshold as abnormal points, and extract the corresponding time mark information from the original time series to obtain the magnetic induction mutation time point sequence.

[0014] S103: Based on the magnetic induction abrupt change time point sequence, extract the earliest time point value as the initial time point, and combine it with the magnetic induction direction and amplitude change rate information corresponding to the time point to set it as the trigger time point for tool approach, and generate a tool approach trigger record.

[0015] As a further aspect of the present invention, the specific steps of S2 are as follows:

[0016] S201: Based on the time point information in the tool approach trigger record, extract the time field value contained in the record as the reference time, set a continuous time period of fixed duration before and after the time point, define the start and end of the time period as the start and end time of the time window respectively, and obtain the tool trigger reference time window interval.

[0017] S202: Based on the tool triggering reference time window interval, call the set verification duration value, judge the time difference between the start time and the end time, and judge whether the time window span meets the verification duration requirement. If it does not meet the requirement, adjust the start time or the end time to obtain the tool action verification limit interval.

[0018] S203: Based on the tool action verification limitation interval, integrate the start time, end time and verification status marker information to form time window structure data and generate tool action verification time window information.

[0019] As a further aspect of the present invention, the specific steps of S3 are as follows:

[0020] S301: Based on the tool action verification time window information, obtain the fiber optic sensor strain data sequence within the interval corresponding to the start and end times of the time window, extract adjacent data point groups in the sequence and calculate the strain change between adjacent time points divided by the time difference to generate a strain change rate sequence.

[0021] S302: Based on the strain rate of change sequence, call the set strain rate of change threshold, judge each strain rate of change value in the sequence item by item, extract the time points corresponding to the data that are greater than the strain rate of change threshold, retain only the starting position of the change, and obtain the contact action time point set;

[0022] S303: For the set of contact action time points, obtain the spatial location information of the fiber optic sensor corresponding to the time point, determine the position overlap with the component number distribution information, mark the corresponding component number, construct mapping data including time points and component numbers, and generate tool contact action recognition nodes.

[0023] As a further aspect of the present invention, the specific steps of S4 are as follows:

[0024] S401: Call the component number and time point in the tool contact action recognition node, extract the component number corresponding to the time point, establish a corresponding set of component numbers and time points, arrange the data items in the set in chronological order, and generate a tool operation node set;

[0025] S402: Based on the tool operation node set, obtain all installation position numbers and corresponding registration time information in the work ticket registration, compare the association conditions between component number and installation position number, filter data pairs with the same time point and the number have a relationship, and obtain the component position matching result set.

[0026] S403: For the component location matching result set, determine whether the component number in the data has been registered in the work ticket installation position number at the corresponding time point. If there is an unmatched record, mark it as unbound. Mark the rest as bound. Summarize all status tags and obtain the tool binding status information.

[0027] As a further aspect of the present invention, the specific steps of S5 are as follows:

[0028] S501: Based on the tool binding status information, extract the tool number, installation location number and trigger time marker, combine the tool number and installation location number accordingly, call the trigger time marker and the combination result for classification, identify the tool binding status at the current time point, and generate a tool binding status distinction value;

[0029] S502: Based on the tool binding status differentiation value, identify the binding record with the status of "installed", call the tool number and the installation location number to form an associated data pair, filter the corresponding tool status information according to the mapping relationship, and obtain the tool installation status pairing value;

[0030] S503: Call the tool number, installation location number and trigger time marker in the tool installation status pairing value, unify the structure format, add the event time index and status marker content, combine them to form a tool status record item, and generate tool installation status event data.

[0031] As a further aspect of the present invention, the magnetic induction rate of change threshold refers to a set value used to determine whether the magnetic field change has reached the triggering standard, which is set according to experimental data or standard specifications.

[0032] The verification time window refers to the time range set after the tool is close to being triggered to verify whether the tool has performed the installation operation.

[0033] The tool action verification refers to the process of confirming whether the tool has completed the installation operation. The tool's status is determined by monitoring its approach, contact, fixation, and multiple actions.

[0034] As a further aspect of the present invention, the fiber optic sensor refers to a sensor that uses optical fiber to sense strain changes and can monitor physical changes by detecting changes in optical signals caused by strain.

[0035] The contact action node refers to the strain change point detected by the fiber optic sensor when the tool contacts the installation position, and the time point represents the actual contact time between the tool and the target installation position.

[0036] The strain change rate refers to the rate at which the strain value in the fiber optic sensor changes. It is expressed as the amount of strain change per unit time by calculating the ratio of the strain difference between two points to the time difference.

[0037] The tool contact action recognition node refers to the time point of the tool contact action detected by the fiber optic sensor. The node represents the moment when the tool actually makes contact with the installation position.

[0038] The tool binding status information refers to the status data confirming whether the tool matches the installation location, including the tool number, installation location number, and time information;

[0039] The installation location number registered in the work order refers to the unique number of the designated installation location recorded in the work order;

[0040] The tool number refers to the unique identifier of each tool in the system;

[0041] The tool installation status event data refers to the status information recorded during the tool installation process, including key information such as the tool's installation number, installation location number, and installation time.

[0042] A real-time monitoring system for the installation status of secondary safety measures tools in substations, including:

[0043] The magnetic induction monitoring module is used to perform S1: acquire the magnetic induction vector sensor signal deployed in the terminal block shorting piece installation area, arrange the magnetic induction data in time series, calculate the change in magnetic induction direction and amplitude between adjacent time points, determine whether the rate of change exceeds the set magnetic induction change rate threshold, filter the time points with a change rate greater than the magnetic induction change rate threshold, and use the time points as tools to approach the initial time point to generate a tool approach trigger record;

[0044] The proximity record generation module is used to execute S2: based on the time point in the tool proximity trigger record, set a continuous monitoring time window, define the start and end times of the verification time window, and use them as the limit time for tool action verification, and generate tool action verification time window information;

[0045] The strain recognition module is used to perform S3: based on the tool action verification time window information, obtain strain data in the fiber optic sensor, calculate the strain change rate and compare it with a set threshold, extract time points higher than the threshold as contact action nodes, and, combined with the fiber optic sensor position, mark the corresponding component number to generate tool contact action recognition nodes.

[0046] The binding verification module is used to execute S4: call the component number and time point in the tool contact action identification node, match them with the installation position number registered in the work ticket, verify the binding relationship between the tool and the installation position, and generate tool binding status information;

[0047] The installation event logging module is used to execute S5: based on the tool binding status information, integrate the tool number, installation location number and trigger time stamp, record the tool's installed status, and generate tool installation status event data.

[0048] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0049] In this invention, precise monitoring of tool installation status is achieved through sensor technology and data analysis. By collecting and analyzing magnetic induction and strain data, the timing of tool approach, contact, and action is accurately identified and verified by binding with work order data. This improves the real-time performance and accuracy of monitoring, avoids interference from human factors, enhances the feedback capability of equipment status, and improves safety and reliability. Compared with traditional technologies, this solution achieves efficient and accurate tool status management and optimizes the dynamic monitoring of equipment operation. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 This is a schematic diagram of the steps of the present invention;

[0052] Figure 2 This is a detailed schematic diagram of S1 of the present invention;

[0053] Figure 3 This is a detailed schematic diagram of S2 of the present invention;

[0054] Figure 4 This is a detailed schematic diagram of S3 of the present invention;

[0055] Figure 5 This is a detailed schematic diagram of S4 of the present invention;

[0056] Figure 6 This is a detailed schematic diagram of S5 of the present invention;

[0057] Figure 7 This is a system module diagram of the present invention. Detailed Implementation

[0058] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0059] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0060] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, their intended meanings are consistent. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, their intended meanings are consistent.

[0061] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0062] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0063] Please see Figure 1 This invention provides a method for real-time capture of the installation status of secondary safety measures tools in substations, comprising the following steps:

[0064] S1: Acquire the magnetic induction vector sensor signal deployed in the terminal block shorting plate installation area, arrange the magnetic induction data in time sequence, calculate the change in magnetic induction direction and amplitude between adjacent time points, determine whether the rate of change exceeds the set magnetic induction change rate threshold, filter the time points with a rate of change greater than the magnetic induction change rate threshold, and use the time points as tools to approach the initial time point to generate tool approach trigger records.

[0065] The magnetic induction rate threshold is a set value used to determine whether the change in magnetic field has reached the triggering standard. It is set according to experimental data or standard specifications and is used to distinguish between magnetic field changes and background interference.

[0066] The tool approaching the initial time point refers to the moment when the rate of change of magnetic induction first exceeds the set threshold for the rate of change of magnetic induction during the detection of magnetic induction signals. This marks the moment when the tool approaches or begins to approach the detection area.

[0067] S2: Based on the time point in the tool's proximity trigger record, set a continuous monitoring time window, define the start and end times of the verification time window, and use them as the time limit for tool action verification, and generate tool action verification time window information;

[0068] The tool action verification time window refers to the set time range after the tool is close to triggering, used to verify whether the tool has performed the installation operation. Data within this time window will be used to determine whether the tool has completed the predetermined action.

[0069] Tool action verification refers to the process of confirming whether a tool has completed the installation operation. It involves monitoring the tool's approach, contact, and fixation, as well as multiple actions, to determine the tool's status.

[0070] S3: Based on the tool action verification time window information, obtain strain data from the fiber optic sensor, calculate the strain change rate and compare it with a set threshold, extract time points higher than the threshold as contact action nodes, combine the fiber optic sensor position, mark the corresponding component number, and generate tool contact action recognition nodes.

[0071] Fiber optic sensors are sensors that use optical fibers to sense changes in strain. They can monitor physical changes by detecting changes in the light signal caused by strain and are widely used in structural health monitoring.

[0072] The contact action node refers to the point of sudden strain change detected by the fiber optic sensor when the tool comes into contact with the installation position. The time point represents the actual contact moment between the tool and the target installation position.

[0073] The strain change rate refers to the rate at which the strain value changes in a fiber optic sensor. It is expressed as the amount of strain change per unit time by calculating the ratio of the strain difference between two points to the time difference.

[0074] Tool contact action recognition node refers to the time point of tool contact action detected by fiber optic sensor. The node represents the moment when the tool actually makes contact with the installation position.

[0075] S4: Invoke the component number and time point in the tool contact action recognition node, match them with the installation position number registered in the work ticket, verify the binding relationship between the tool and the installation position, and generate tool binding status information;

[0076] Tool binding status information refers to the status data that confirms whether the tool matches the installation location, including tool number, installation location number, and time information, which is used to prove the validity of the tool installation location;

[0077] The installation position number registered on the work order refers to the unique number of the specified installation position recorded in the work order. It is used to identify the specific location where the tool is installed. The number is used to match the tool's contact action node to determine the installation position.

[0078] The tool number is a unique identifier for each tool in the system, used to distinguish different tools and equipment. The number is used to bind with the installation location number information.

[0079] S5: Based on tool binding status information, integrate tool number, installation location number and trigger time stamp to record the tool's installed status and generate tool installation status event data;

[0080] Tool installation status event data refers to the status information recorded during the tool installation process, including key information such as the tool's installation number, installation location number, and installation time, which is used to verify whether the tool has completed the installation task.

[0081] The tool proximity trigger record includes the initial time point of tool approach, changes in magnetic induction direction, changes in magnetic induction amplitude, and the time point when the rate of change exceeds the threshold; the tool action verification time window information includes the start time and end time of the verification time window; the tool contact action recognition node includes the contact action node time point, contact action node component number, and fiber optic sensor position; the tool binding status information includes the tool number, installation location number, trigger time marker, and binding relationship verification result; the tool installation status event data includes the tool number, installation location number, trigger time marker, and tool installation status record.

[0082] Please see Figure 2 The specific steps of S1 are as follows:

[0083] S101: Acquire the magnetic induction vector sensor signal deployed in the terminal block shorting piece installation area, arrange the magnetic induction data in chronological order, extract the direction change and amplitude change at adjacent time points, calculate the rate of change of magnetic induction direction and amplitude, and acquire the data of magnetic induction direction and amplitude change rate.

[0084] A magnetic induction vector sensor deployed in the terminal block shorting tab mounting area is used to continuously acquire magnetic field signals. It records magnetic induction intensity data in the X, Y, and Z directions using a triaxial sensing method, with a sampling frequency of 100 times per second, equivalent to acquiring data once every 0.01 seconds, forming a magnetic induction vector sequence arranged in chronological order. Each set of data contains magnetic field component values ​​in all three directions. The magnetic vector intensity at each time point can be obtained by calculating the square root of the sum of the squares of the three components. When calculating the change in magnetic vector direction between two adjacent time points, the magnitude of the change can be estimated using the cosine of the included angle; simultaneously, the magnitude change is equal to the difference in vector intensity between the two time points. The change between each set of adjacent time points is further processed, and divided by the corresponding time interval of 10 milliseconds to obtain the rate of change. Using the above method, the direction and amplitude change rates for each time point are extracted and compiled into a dataset containing time, direction change rate, and amplitude change rate. For example, between 0.25 seconds and 0.26 seconds, a certain set of data shows a direction change of 0.09 radians and an amplitude change of 0.002T, corresponding to change rates of 9 radians per second and 0.2T per second, respectively. The change rates for all time periods are summarized into a continuous data sequence as a basis for subsequent judgment.

[0085] S102: Based on the magnetic induction direction and amplitude change rate data, call the preset magnetic induction change rate threshold, judge the change rate data of all time points one by one, mark the time points with a change rate greater than the magnetic induction change rate threshold as abnormal points, and extract the corresponding time mark information from the original time series to obtain the magnetic induction abrupt change time point sequence.

[0086] Based on the obtained data on the direction and amplitude change rates of magnetic induction, thresholds are first set to identify abrupt changes. The direction change rate is set to a threshold of 5 radians per second, referencing the fluctuation range during normal operation; the amplitude change rate is set to a threshold of 0.3 T per second, referencing the stable range of the equipment's magnetic field. The change rate data at all sampling time points are compared one by one. If any change rate at any time point exceeds the set threshold, it is considered an anomaly and marked. The comparison method involves reading each change rate value and comparing it with the threshold. If any condition is met, the time information for that time point is extracted and recorded as the magnetic induction abrupt change time point. For example, at the 45th time point, the direction change rate is 6.5 radians per second, and the amplitude change rate is 0.28 T per second. Since the direction change rate exceeds the threshold, this time point is marked as an anomaly. The above steps are repeated to traverse all data sequences, extracting and summarizing the time points that meet the conditions to form a set of time point sequences representing magnetic induction abrupt changes, which can be used for subsequent dynamic identification and response control.

[0087] S103: Based on the magnetic induction abrupt change time point sequence, the earliest time point value is extracted as the initial time point. Combined with the magnetic induction direction and amplitude change rate information corresponding to the time point, it is set as the trigger time point for tool approach and a tool approach trigger record is generated.

[0088] By processing the time sequence of magnetic induction abrupt changes, the earliest time point is identified as the initial trigger moment. Combined with the corresponding rate of change of direction and amplitude at that time point, it is determined that the abrupt change may be related to the approach of an external magnetic tool. For example, if the abrupt change time sequence is 0.21 seconds, 0.45 seconds, and 0.73 seconds, the earliest abrupt change occurs at 0.21 seconds. Checking the data record for that time point, the rate of change of direction is 6.8 radians per second, and the rate of change of amplitude is 0.32 T per second, both exceeding the aforementioned threshold, indicating a significant change in the magnetic field. Based on this judgment, this time point is identified as a key trigger node for interference signals generated by the tool approaching the area, recorded as a tool approach trigger event, and related record information including the time point, the rate of change of direction, and the rate of change of amplitude. This process can be applied to the daily operation monitoring of electrical equipment. When an operating tool enters the terminal block area, a sudden change in the magnetic field occurs. The system detects and identifies the initial abnormal time, realizing the identification and registration of magnetic interference behavior in the environment.

[0089] Please see Figure 3 The specific steps of S2 are as follows:

[0090] S201: Based on the time point information in the tool's near-trigger record, extract the time field value contained in the record as the base time, set a continuous time period of fixed duration before and after the time point, define the start and end of the time period as the start and end times of the time window respectively, and obtain the tool trigger base time window interval.

[0091] For example, if a detection records a time of 8.32s, and this time is set as the center point, a continuous time period is constructed by extending forward and backward by a certain duration. If the extension time is set to 1s, the start time of the time period is 7.32s and the end time is 9.32s. This time period can cover the key changes before and after the tool's approach, making it suitable as an analysis window. The start and end times serve as the start and end times of the time window, forming a time interval with a total duration of 2s. This time window is the baseline time window interval corresponding to the tool's trigger time. In the scenario of power equipment operation, if a sudden change in the magnetic field near the terminal block is detected and the trigger time is recorded as 8.32s, then the time period from 7.32s to 9.32s will reflect the trajectory of magnetic induction changes. This time window can provide a unified data processing framework for subsequent data judgment and behavior recognition, further supporting the modeling of magnetic induction response processes based on fixed structures.

[0092] S202: Based on the tool trigger baseline time window interval, call the set verification duration value, judge the time difference between the start time and the end time, and judge whether the time window span meets the verification duration requirement. If it does not meet the requirement, adjust the start time or the end time to obtain the tool action verification limit interval.

[0093] The time span is assessed and adjusted as necessary. First, the start and end times of the current time window are obtained. For example, if the start time is 7.32s and the end time is 9.32s, the total length of the current time window is 2s. If the system's set verification duration is 3s, it indicates that the current time window length is insufficient and boundary expansion is required. In this case, a two-sided extension method can be used: the start time is advanced by 0.5s to 6.82s, and the end time is delayed by 0.5s to 9.82s. After adjustment, the time window span is 3s, meeting the verification time requirement. If the adjusted length still does not reach the set threshold, further boundary correction can be performed using an extension coefficient to maintain the integrity of the valid verification range. In equipment operation scenarios, for example, if a tool is detected approaching during a maintenance operation, and the original time window is 2s, the rule-based judgment indicates that the verification length requirement is not met. Therefore, the start and end times are automatically extended to construct a complete verification interval, effectively covering the entire tool action process and providing compliant data for subsequent analysis. This process ensures that the formed limited time period can be used for consistency judgment, behavior comparison, and other operations.

[0094] S203: Based on the tool action verification limit interval, integrate the start time, end time and verification status marker information, combine them to form time window structure data, and generate tool action verification time window information;

[0095] In the structure, the start time is, for example, 6.82s, and the end time is 9.82s. The verification status is determined according to the aforementioned rules to see if the time window meets the duration condition. If it does, the status is set to 1; otherwise, the status is set to 0. These three items together constitute a complete time window record. This record can be archived in a structured format for subsequent tool operation behavior backtracking, monitoring linkage, or database query management. In real-world scenarios, for example, if a detection system continuously identifies multiple tool approach behaviors, each corresponding to a different trigger time point, the above steps are used to extract the base time, extended window, verification judgment, and result marker one by one, forming multiple tool action verification time window information records. This achieves the requirements for time-series behavior recording and management control, ensuring that each event has a corresponding verification data window and status information for storage and use.

[0096] Please see Figure 4 The specific steps of S3 are as follows:

[0097] S301: Based on the tool action verification time window information, obtain the fiber optic sensor strain data sequence within the interval corresponding to the start and end times of the time window, extract adjacent data point groups in the sequence and calculate the strain change between adjacent time points divided by the time difference to generate a strain change rate sequence.

[0098] Based on the tool action verification time window information, the start and end times of the time window are determined, for example, the start time is 6.82s and the end time is 9.82s. The strain data sequence within this interval is acquired from the fiber optic sensing system. The sampling frequency is set to 1000 times per second, resulting in 3001 strain data points within the 3s time window. Each data point corresponds to a specific time and strain value. Then, all adjacent data points are paired, for example, the first and second data points, the second and third data points are paired sequentially. By calculating the difference between adjacent strain values ​​and dividing by a fixed time interval of 0.001s, the strain change rate between each pair is obtained. In a specific example, if the strain values ​​of two consecutive data points are 430με and 445με respectively, the strain change is 15με. Dividing this by the time interval of 0.001s, the strain change rate is 15000με / s. This calculation is repeated until the entire data sequence is traversed, thereby generating a complete strain change rate sequence. This sequence can clearly reflect the changing trend of adjacent strain points at each moment during the monitored period. In scenarios such as rail transit and structural safety monitoring, by collecting distributed optical fiber sensing signals from the outside of cables or components, a strain change rate sequence for tool contact disturbance behavior can be generated for subsequent action recognition processing.

[0099] S302: Based on the strain rate of change sequence, call the set strain rate of change threshold, judge each strain rate of change value in the sequence one by one, extract the time points corresponding to the data that are greater than the strain rate of change threshold, retain only the starting position of the change, and obtain the contact action time point set;

[0100] Based on the values ​​in the strain rate sequence, each item is processed for judgment. A strain rate threshold of 50 με / s is set, meaning that if the strain change exceeds this rate at any given moment, it is considered a significant disturbance. This threshold can be determined based on historical testing, material response characteristics, and engineering scenarios. For example, in rail transit equipment, when optical fibers are deployed outside terminals or supports, the strain rate under normal mechanical vibration generally does not exceed 30 με / s. If it exceeds 50 με / s for a short period, it can be judged as contact behavior. During execution, the rate sequence is scanned from beginning to end. If any value is greater than 50 με / s, it is considered a significant disturbance. If the change rate is ε / s and the preceding term does not exceed the threshold, then the corresponding time point is recorded as the disturbance initiation time point. If multiple subsequent terms exceed the threshold consecutively, they are ignored and only the first time point is retained to avoid duplicate identification. In the example, assuming the change rate of term 123 is 72με / s and the preceding term is 45με / s, then the time point is 7.943s, which is added to the contact action time point set. If terms 124 and 125 are also higher than the threshold, they are no longer recorded, and the search continues for the next initial time point that meets the conditions, thereby constructing a time set containing the starting point of significant strain change, which serves as the time index source for contact behavior characteristics.

[0101] S303: For the set of contact action time points, obtain the spatial location information of the fiber optic sensor corresponding to the time point, determine the position overlap with the component number distribution information, mark the corresponding component number, construct mapping data including time points and component numbers, and generate tool contact action recognition nodes.

[0102] Based on each time point in the contact action time point set, its corresponding spatial position in the optical fiber deployment path is obtained. Each time point can be associated with the sensor channel number and sampling order to obtain the corresponding three-dimensional coordinate information. Furthermore, this position information is matched with the spatial distribution data of component numbers in the equipment. The component number information can be preset in the structural digital model or process configuration table. For example, component number 101 represents a spatial range of x from 0 to 10, y from 0 to 10, and z from 0 to 5. If the optical fiber position corresponding to a certain time point is x = 5.2, y = 8.7, and z = 3.1, it is determined that it falls within this range, and a mapping relationship is established with component number 101. This process requires traversing all component boundary data and time point position information to determine spatial overlap, generating a data mapping relationship including time points and corresponding component numbers, forming a contact action recognition node set. For example, time point 7.943s corresponds to component number 105, 8.221s corresponds to number 103, and 9.003s corresponds to number 110, thus forming three mapping data pairs for application scenarios such as behavior source tracking and event tag identification.

[0103] Please see Figure 5 The specific steps of S4 are as follows:

[0104] S401: Call the component number and time point in the tool contact action recognition node, extract the component number corresponding to the time point, establish a corresponding set of component numbers and time points, arrange the data items in the set in chronological order, and generate a set of tool operation nodes;

[0105] First, extract record information one by one from the tool contact action recognition node set. For example, the data for a certain recognition node is (7.943s, component number 105), (8.221s, component number 103), and (9.003s, component number 110), which represent the contact between the tool and the component at specific moments. Separate the time point and component number in each node to establish a mapping relationship set between component number and time point. That is, construct a key-value pair list with component number as index and time point as value. Then, sort the set in ascending order according to the time point. The sorting can use a standard comparison method, with the time point as the primary sorting criterion. If a numerical comparison rule is used, such as using seconds as the unit, compare two time points one by one. If the previous time point is greater than the next, the two are swapped, and this comparison process is repeated until the entire set is ordered. For example, the initial set is {(103, 8.221s), (110, 9.003s), (105, 7.943s)}, which becomes {(105, 7.943s), (103, 8.221s), (110, 9.003s)} after sorting. The tool operation node set is generated in time order. In equipment maintenance scenarios, such as high-speed rail vehicle maintenance, fiber optic sensors are deployed at key installation locations. The collected operation node set can reflect the behavior of the operating tool acting on specific components in time and space order, providing basic data for subsequent operation verification.

[0106] S402: Based on the tool operation node set, obtain all installation position numbers and corresponding registration time information in the work ticket registration, compare the association conditions between component number and installation position number, filter data pairs with the same time point and the number have a relationship, and obtain the component position matching result set;

[0107] Based on the data items in the tool operation node set, each component number and its corresponding time point information are extracted sequentially and compared with the installation position number and registration time point recorded in the work ticket registration system. The work ticket registration information is recorded by the construction system and is generally stored in a table or database format, including fields such as installation position number, registration time, and installation component number. After extracting all registration records, a matching judgment is performed on each tool operation node. First, a time point comparison is performed; for example, if a node's time point is 8.221s, the system checks if a record with a registration time point of 8.221s exists in the work ticket. If it exists, the next step is to compare the component number of the tool operation node with the installation position number in the work ticket record for that time point. The association judgment can be predefined. For example, a mapping table between components and installation positions can be established through the installation task design document. If there is a binding relationship between component number 103 and installation position number A17, then it is determined that the two have an association relationship. If the match is successful, the component number and time point combination is recorded as the matching result, and the next set of node data is processed. If the time points are inconsistent or the numbers have no binding relationship, they are not added to the matching set. In a certain actual maintenance task, the tool operation node set contains (103, 8.221s). In the work ticket, installation position A17 registers component 103 at 8.221s. The association is confirmed and recorded, resulting in a set of component position matching results containing all components that meet the time and number matching conditions.

[0108] S403: For the component location matching result set, determine whether the component number in the data has been registered with the work ticket installation position number at the corresponding time point. If there is an unmatched record, mark it as unbound. Mark the rest as bound. Summarize all status tags and obtain the tool binding status information.

[0109] For each record in the component location matching result set, determine the status of its component number at the corresponding time point. If a component number and time point combination does not appear in the registered records of the work ticket system, the component is considered unbound at that time point, and its status is marked as unbound. Conversely, if the component number and time point combination exists in the work ticket registration information, it is considered bound. This determination process can be implemented using a query matching method, traversing the component location matching result set and comparing each item with the original registration data of the work ticket. The determination rule is set as follows: if the time point and component number combination in the matching set is in the registration table... If a record exists, the status is assigned "bound"; otherwise, the status is assigned "unbound". For example, if a record (component 105, 7.943s) exists in the result set, but no record for component 105 at that time point is found in the job ticket, it is marked as unbound. If a record exists, it is marked as bound. After processing all matching results, a complete list of status labels is generated, such as {(105, 7.943s, unbound), (103, 8.221s, bound), (110, 9.003s, bound)}. This forms a tool binding status information dataset, covering the binding determination status of all tool operation nodes.

[0110] Please see Figure 6 The specific steps of S5 are as follows:

[0111] S501: Based on the tool binding status information, extract the tool number, installation location number and trigger time stamp, combine the tool number and installation location number, call the trigger time stamp and the combination result for classification, identify the tool binding status at the current time point, and generate a tool binding status differentiation value;

[0112] Based on the binding status information, the raw data records containing the tool ID, installation location ID, and trigger timestamp are extracted. This requires parsing the structured log. Each field in this log is generated and stored in real-time by the binding operating system. In each record, the tool ID (e.g., "T20231101") represents a unique tool identifier, the installation location ID (e.g., "L08A45") indicates the specific location code, and the trigger time (e.g., "2020-11-29 09:23:45") is the exact time the binding operation occurred. During parsing, a time window (e.g., the most recent 24 hours) can be set to extract all binding records within the target range. Then, the tool ID and location ID are paired to form a key combination, using underscores as the format, such as "T20231". "101_L08A45" is used to identify a binding instance of a tool at a specific location. Then, the combination keys are categorized according to the time dimension. Each combination key may have multiple time records, but only the record with the latest time is retained as the current binding state. The latest trigger time marker for each combination key is used as the time basis for the current state. A state mapping table is formed by combining the binding data. To ensure accuracy, redundant records or invalid items with incomplete binding states need to be removed. In practical applications, such as an automated assembly line in a production workshop needing to identify the current state of the assembled fixture at a certain workstation, the above process can quickly retrieve "T20231101" bound to "L08A45" from the database, with the time being "2020-11-29 09:23:45". This combination result is then uniformly encoded to generate a state differentiation value. For example, "T20231101_L08A45_20201129092345" is constructed as "HZ9215F8" using string encoding to uniquely identify this binding state.

[0113] S502: Based on the tool binding status distinction value, identify the binding record with the status of "installed", call the tool number and the installation location number to form an associated data pair, filter the corresponding tool status information according to the mapping relationship, and obtain the tool installation status pair value;

[0114] Based on the status-based value data table, records with a status of "installed" are filtered out. Each record contains a status field, which can be updated via device sensor feedback. The status field uses a numeric label: 1 indicates installed, and 0 indicates not installed. Records with a status value of 1 are filtered using logical judgment. Then, the tool number and installation location number are paired from the filtered data to construct a composite index key, such as "T20231101_L08A45," for further retrieval of detailed tool status data. This data includes the tool's usage cycle count, current wear level, maintenance plan status, etc., and is used through the composite key. Matching the status data with the data only retains the record corresponding to the installation location, obtaining complete operational information for each bound data. In a factory operating environment, for example, if a tool with the number "T20231101" is installed at workstation number "L08A45", a query will show that its cycle usage is 154 times, its wear level is 2, and its maintenance status is marked as "to be maintained". The corresponding tool installation status pairing value is: number T20231101, location number L08A45, cycle usage 154, wear level 2, and maintenance status to be maintained. This pairing structure enables accurate extraction and recording updates of equipment operation data.

[0115] S503: Call the tool number, installation location number and trigger time stamp in the tool installation status pairing value, unify the structure format, add the event time index and status stamp content, combine them to form a tool status record item, and generate tool installation status event data;

[0116] The tool ID, installation location ID, and trigger timestamp from the paired values ​​are called and processed in a unified structure. Each field is standardized to a uniform format, such as key-value pairs, forming structure items including `tool_id`, `location_id`, and `timestamp`. Further, two fields, an event time index and a status flag, are added to the structure. The event time index is converted from the original timestamp and represented in system timestamp format, such as 1764401025. The status flag content is determined based on the number of cycles and the wear level. When the number of cycles reaches 150 and the wear level is 2, the record's status flag is "high wear". Based on this, the status record items are combined, and the integrated result includes a tool ID such as "T20231101", a location ID such as "L08A45", a trigger time such as "2020-11-2 9 09:23:45", a time index such as 1764401025, and a status flag such as "high wear". This complete structured tool status event data is then used to store it in a database or transfer it to a status management platform for further updates.

[0117] Please see Figure 7 A real-time monitoring system for the installation status of secondary safety measures tools in substations, including:

[0118] The magnetic induction monitoring module is used to perform S1: acquire the magnetic induction vector sensor signal deployed in the terminal block shorting piece installation area, arrange the magnetic induction data in time series, calculate the change in magnetic induction direction and amplitude between adjacent time points, determine whether the rate of change exceeds the set magnetic induction change rate threshold, filter the time points with a change rate greater than the magnetic induction change rate threshold, and use the time points as tools to approach the initial time point to generate a tool approach trigger record;

[0119] The proximity record generation module is used to execute S2: based on the time point in the tool proximity trigger record, set a continuous monitoring time window, define the start and end times of the verification time window, and use them as the limit time for tool action verification, and generate tool action verification time window information;

[0120] The strain recognition module is used to perform S3: based on the tool action verification time window information, obtain strain data in the fiber optic sensor, calculate the strain change rate and compare it with a set threshold, extract time points higher than the threshold as contact action nodes, combine the fiber optic sensor position, mark the corresponding component number, and generate tool contact action recognition nodes.

[0121] The binding verification module is used to execute S4: call the component number and time point in the tool contact action identification node, match them with the installation location number registered in the work ticket, verify the binding relationship between the tool and the installation location, and generate tool binding status information;

[0122] The installation event logging module is used to execute S5: based on tool binding status information, it integrates tool number, installation location number and trigger time stamp to record the tool's installed status and generate tool installation status event data.

[0123] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for real-time capture of the installation status of secondary safety equipment in substations, characterized in that, Includes the following steps: S1: Acquire the magnetic induction vector sensor signal in the terminal block shorting piece installation area, arrange the magnetic induction data in time sequence, calculate the changes in magnetic induction direction and amplitude at adjacent time points, determine whether the rate of change exceeds the preset magnetic induction change rate threshold, and generate a tool proximity trigger record. S2: Based on the time point in the tool's proximity trigger record, set a continuous monitoring time window, define the start and end times of the verification time window, and generate tool action verification time window information; S3: Based on the tool action verification time window information, obtain the strain data of the fiber optic sensor, calculate the strain change rate and compare it with a set threshold, extract the time points higher than the set threshold as contact action nodes, and combine them with the fiber optic sensor position marker component number to generate tool contact action recognition nodes. S4: Invoke the component number and time point in the tool contact action identification node, match them with the installation position number registered in the work ticket, verify the binding relationship between the tool and the installation position, and generate tool binding status information; S5: Based on the tool binding status information, integrate the tool number, installation location number, and trigger time marker to generate tool installation status event data.

2. The method for real-time capture of the installation status of secondary safety measures tools in substations according to claim 1, characterized in that, The tool proximity trigger record includes the initial time point of tool proximity, changes in magnetic induction direction, changes in magnetic induction amplitude, and the time point when the rate of change exceeds the threshold; the tool action verification time window information includes the start time and end time of the verification time window; the tool contact action recognition node includes the contact action node time point, contact action node component number, and fiber optic sensor position; the tool binding status information includes the tool number, installation location number, trigger time marker, and binding relationship verification result; the tool installation status event data includes the tool number, installation location number, trigger time marker, and tool installation status record.

3. The method for real-time capture of the installation status of secondary safety measures tools in substations according to claim 1, characterized in that, The specific steps of S1 are as follows: S101: Acquire the magnetic induction vector sensor signal deployed in the terminal block shorting piece installation area, arrange the magnetic induction data in chronological order, extract the direction change and amplitude change at adjacent time points, calculate the rate of change of magnetic induction direction and amplitude, and acquire the data of magnetic induction direction and amplitude change rate. S102: Based on the magnetic induction direction and amplitude change rate data, call the preset magnetic induction change rate threshold, judge the change rate data of all time points one by one, mark the time points with a change rate greater than the magnetic induction change rate threshold as abnormal points, and extract the corresponding time mark information from the original time series to obtain the magnetic induction mutation time point sequence. S103: Based on the magnetic induction abrupt change time point sequence, extract the time point value as the initial time point, combine the magnetic induction direction and amplitude change rate information corresponding to the time point, set it as the tool firing time point, and generate the tool approach trigger record.

4. The method for real-time capture of the installation status of secondary safety measures tools in substations according to claim 3, characterized in that, The specific steps of S2 are as follows: S201: Based on the time point information in the tool approach trigger record, extract the time field value contained in the record as the reference time, set a continuous time period of fixed duration before and after the time point, define the start and end of the time period as the start and end time of the time window respectively, and obtain the tool trigger reference time window interval. The fixed duration refers to the length of time extended forward and backward from the reference time point. The value can be set according to the actual detection requirements. For example, it can be extended by 1 second to form a continuous time period of 2 seconds. S202: Based on the tool triggering reference time window interval, call the set verification duration value, judge the time difference between the start time and the end time, and judge whether the time window span meets the verification duration requirement. If it does not meet the requirement, adjust the start time or the end time to obtain the tool action verification limit interval. S203: Based on the tool action verification limitation interval, integrate the start time, end time and verification status marker information to form time window structure data and generate tool action verification time window information.

5. The method for real-time capture of the installation status of secondary safety measures tools in substations according to claim 4, characterized in that, The specific steps for S3 are as follows: S301: Based on the tool action verification time window information, obtain the fiber optic sensor strain data sequence within the interval corresponding to the start and end times of the time window, extract adjacent data point groups in the sequence and calculate the strain change between adjacent time points divided by the time difference to generate a strain change rate sequence. S302: Based on the strain rate of change sequence, call the set strain rate of change threshold, judge each strain rate of change value in the sequence item by item, extract the time points corresponding to the data that are greater than the strain rate of change threshold, retain only the starting position of the change, and obtain the contact action time point set; S303: For the set of contact action time points, obtain the spatial location information of the fiber optic sensor corresponding to the time point, determine the position overlap with the component number distribution information, mark the corresponding component number, construct mapping data including time points and component numbers, and generate tool contact action recognition nodes.

6. The method for real-time capture of the installation status of secondary safety measures tools in substations according to claim 5, characterized in that, The specific steps of S4 are as follows: S401: Call the component number and time point in the tool contact action recognition node, extract the component number corresponding to the time point, establish a corresponding set of component numbers and time points, arrange the data items in the set in chronological order, and generate a tool operation node set; S402: Based on the tool operation node set, obtain all installation position numbers and corresponding registration time information in the work ticket registration, compare the association conditions between component number and installation position number, filter data pairs with the same time point and the number have a relationship, and obtain the component position matching result set. S403: For the component location matching result set, determine whether the component number in the data has been registered in the work ticket installation position number at the corresponding time point. If there is an unmatched record, mark it as unbound. Mark the rest as bound. Summarize all status tags and obtain the tool binding status information.

7. The method for real-time capture of the installation status of secondary safety measures tools in substations according to claim 6, characterized in that, The specific steps of S5 are as follows: S501: Based on the tool binding status information, extract the tool number, installation location number and trigger time marker, combine the tool number and installation location number accordingly, call the trigger time marker and the combination result for classification, identify the tool binding status at the current time point, and generate a tool binding status distinction value; S502: Based on the tool binding status differentiation value, identify the binding record with the status of "installed", call the tool number and the installation location number to form an associated data pair, filter the corresponding tool status information according to the mapping relationship, and obtain the tool installation status pairing value; S503: Call the tool number, installation location number and trigger time marker in the tool installation status pairing value, unify the structure format, add the event time index and status marker content, combine them to form a tool status record item, and generate tool installation status event data.

8. The method for real-time capture of the installation status of secondary safety measures tools in substations according to claim 1, characterized in that, The magnetic induction rate threshold is a set value used to determine whether the magnetic field change has reached the triggering standard, and is set according to experimental data or standard specifications. The verification time window refers to the time range set after the tool is close to being triggered to verify whether the tool has performed the installation operation. The tool action verification refers to the process of confirming whether the tool has completed the installation operation. The tool's status is determined by monitoring its approach, contact, fixation, and multiple actions.

9. The method for real-time capture of the installation status of secondary safety measures tools in substations according to claim 1, characterized in that, The fiber optic sensor refers to a sensor that uses optical fiber to sense strain changes and can monitor physical changes by detecting changes in optical signals caused by strain. The contact action node refers to the strain change point detected by the fiber optic sensor when the tool contacts the installation position, and the time point represents the actual contact time between the tool and the target installation position. The strain change rate refers to the rate at which the strain value in the fiber optic sensor changes. It is expressed as the amount of strain change per unit time by calculating the ratio of the strain difference between two points to the time difference. The tool contact action recognition node refers to the time point of the tool contact action detected by the fiber optic sensor. The node represents the moment when the tool actually makes contact with the installation position. The tool binding status information refers to the status data confirming whether the tool matches the installation location, including the tool number, installation location number, and time information; The installation location number registered in the work order refers to the unique number of the designated installation location recorded in the work order; The tool number refers to the unique identifier of each tool in the system; The tool installation status event data refers to the status information recorded during the tool installation process, including key information such as the tool's installation number, installation location number, and installation time.

10. A real-time monitoring system for the installation status of secondary safety measures tools in substations, characterized in that, The system is used to implement the real-time capture method for the installation status of secondary safety measures tools in substations as described in any one of claims 1-9. The system includes: The magnetic induction monitoring module is used to perform S1: acquire the magnetic induction vector sensor signal deployed in the terminal block shorting piece installation area, arrange the magnetic induction data in time series, calculate the change in magnetic induction direction and amplitude between adjacent time points, determine whether the rate of change exceeds the set magnetic induction change rate threshold, filter the time points with a change rate greater than the magnetic induction change rate threshold, and use the time points as tools to approach the initial time point to generate a tool approach trigger record; The proximity record generation module is used to execute S2: based on the time point in the tool proximity trigger record, set a continuous monitoring time window, define the start and end times of the verification time window, and use them as the limit time for tool action verification, and generate tool action verification time window information; The strain recognition module is used to perform S3: based on the tool action verification time window information, obtain strain data in the fiber optic sensor, calculate the strain change rate and compare it with a set threshold, extract time points higher than the threshold as contact action nodes, and, combined with the fiber optic sensor position, mark the corresponding component number to generate tool contact action recognition nodes. The binding verification module is used to execute S4: call the component number and time point in the tool contact action identification node, match them with the installation location number registered in the work ticket, verify the binding relationship between the tool and the installation location, and generate tool binding status information; The installation event logging module is used to execute S5: based on the tool binding status information, integrate the tool number, installation location number and trigger time stamp, record the tool's installed status, and generate tool installation status event data.

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