Methods and Systems for Full-Cycle Data Management of Electronic Detonators

Abstract

This invention discloses a method and system for full-cycle data management of electronic detonators, relating to the field of electronic detonator data management technology. The specific steps of the method include: Step 1, collecting multi-dimensional parameters affecting the quality attributes of electronic detonators and extracting parameter features from different dimensions; Step 2, comprehensively determining the key quality indicators of electronic detonators based on the multi-dimensional parameter features, and determining the upper limit of the optimal storage time for electronic detonators with different key quality indicators by combining storage environment parameters; Step 3, monitoring the shortest time for electronic detonators to enter a stable and reliable state, and determining the lower limit of the optimal storage time for electronic detonators; Step 4, dividing storage areas based on the lower and upper limits of the optimal storage time to achieve real-time monitoring and anomaly handling of electronic detonator full-cycle data. This invention balances the safety of electronic detonators with inventory utilization efficiency by transforming the upper and lower time limits into executable storage rules and distribution strategies.

Description

Technical Field

[0001] This invention belongs to the field of electronic detonator data management technology, specifically relating to a method and system for full-cycle data management of electronic detonators. Background Technology

[0002] As a core detonating device in the civil explosives industry, the quality stability and safety of electronic detonators directly affect the efficiency of engineering blasting and the safety of personnel. With the development of industrial intelligence, the production process of electronic detonators has become increasingly complex, involving multiple stages such as electronic component assembly, chemical filling, and sealing. Deviations in parameters at any stage can affect the reliability of detonation and the stability of function. Therefore, extremely high requirements are placed on the quality control of electronic detonators throughout their entire lifecycle (production, storage, and distribution).

[0003] On the one hand, electronic detonators need to meet strict safety current and stability requirements. If the storage period is too long, the physicochemical properties of the detonator head may change, resulting in the safety current not meeting the standard and increasing the risk of accidental detonation. On the other hand, the production cost of electronic detonators is relatively high. If the storage period is too short, enterprises need to frequently change inventory, which may lead to supply chain tension or production interruption, affecting the continuity of blasting operations. The design parameters of electronic detonators need to match the actual application requirements. If the storage period is too short, the parameters may fail or the performance may fluctuate because the long-term stability has not been fully tested.

[0004] Current storage management often adopts a uniform stacking and first-in-first-out (FIFO) model, without partitioning and controlling the detonators based on their real-time quality status, making it difficult to achieve the goal of "prioritizing use within the optimal performance window." In the distribution phase, the lack of a dynamic scheduling mechanism based on quality indicators, storage duration, and project requirements can lead to problems such as "backlog of detonators nearing their expiration date" and "misuse of low-quality detonators in high-precision projects," reducing inventory turnover efficiency and creating safety hazards.

[0005] Therefore, there is an urgent need for a full-cycle data management method and system for electronic detonators to solve the above problems. Summary of the Invention

[0006] The purpose of this invention is to provide a method and system for full-cycle data management of electronic detonators, which solves the technical problems in the prior art such as fragmented full-cycle data, insufficient traceability and decision support, coarse upper and lower limits for storage time, poor adaptability, insufficient refinement of storage and distribution management, and weak risk control.

[0007] To achieve the above objectives, the present invention adopts the following technical solution:

[0008] A method and system for full-cycle data management of electronic detonators, including:

[0009] Step 1: Collect multi-dimensional parameters that affect the quality properties of electronic detonators and extract the parameter features of different dimensions;

[0010] Step 2: Determine the key quality indicators of electronic detonators by comprehensively considering multi-dimensional parameter characteristics, and determine the upper limit of the optimal storage time for electronic detonators with different key quality indicators by combining storage environment parameters.

[0011] Step 3: Monitor the shortest time required for the electronic detonator to reach a stable and reliable state, and determine the lower limit of the optimal storage time for the electronic detonator;

[0012] Step 4: Divide the storage areas based on the lower limit and upper limit of the optimal storage time to achieve real-time monitoring and anomaly handling of the entire life cycle data of electronic detonators.

[0013] Furthermore, multi-dimensional parameters affecting the quality properties of electronic detonators are collected, and the parameter features of different dimensions are extracted. The specific method is as follows:

[0014] Solder joint contours are identified using a deep learning model trained on the YOLOv8 architecture, and the area of ​​cold / damp solder joints is calculated and converted into the defect ratio.

[0015] The actual filling amount is calculated by measuring the height difference of epoxy resin liquid level using a laser displacement sensor, and the filling amount deviation rate is determined.

[0016] A laser triangulation displacement sensor is used to measure the deviation between the actual assembly depth and the nominal assembly depth of the propellant head, and the assembly deviation rate is calculated.

[0017] Inside the shielded test chamber, n1% of the samples from each batch were randomly selected and subjected to an impact of a1 times the rated voltage. The response time was recorded using a high-speed oscilloscope, and the mean response time and the response time fluctuation rate were calculated.

[0018] The test host and detonator are connected via a dedicated bus. The operation is performed continuously a2 times, the number of errors is recorded, and the associated error rate is calculated.

[0019] Furthermore, the key quality indicators of electronic detonators are determined by comprehensively considering multi-dimensional parameter characteristics. The specific method is as follows:

[0020] Determine the data of electronic detonators that failed to detonate or whose detonation delay deviation was greater than t1, and calculate the defect proportion weight Y1, the filling amount weight Y2, and the assembly weight Y3.

[0021] Using formula The key quality indicators (Zl) are represented by X1 (defect rate), X2 (filling deviation rate), X3 (assembly deviation rate), X4 (response time fluctuation rate), and X5 (correlation error rate). 'a' is a constant value, and its setting must ensure that the results of (a - X5) and (a - Y1×X1) are positive. The specific value of 'a' may be determined based on the quality standards of the electronic detonator industry and statistical results from a large amount of experimental data. By analyzing the correlation between the quality parameters and actual detonation performance of historical batches of electronic detonators, the value of key quality indicator Zl that most accurately reflects the safety and reliability of the detonator is found.

[0022] Furthermore, by combining storage environment parameters, the optimal upper limit of storage time for electronic detonators with different key quality indicators is determined. The specific method is as follows:

[0023] By setting a critical safety threshold Q for key quality indicators of electronic detonators, and considering the storage environment and the decay law of key quality indicators, a decay function of key quality indicators as a function of storage time t is established. By setting the decay function equal to Q, the upper limit of the storage time for electronic detonators can be derived. .

[0024] Furthermore, the lower limit of the optimal storage time for electronic detonators was determined using the following method:

[0025] In a standard storage environment, electronic detonator parameters were monitored by time-gradient sampling, including the detection of epoxy resin curing degree using Fourier transform infrared spectroscopy.

[0026] Minimum initiation energy tests were conducted on sampled detonators, and the energy value corresponding to a 50% initiation probability was recorded.

[0027] When the stability conditions are met, the epoxy resin curing degree is ≥ G%, and the minimum initiation energy of the detonator is stable within the design range, then the time from the start of the storage time to the monitoring time point is the lower limit of the storage time for the electronic detonator. ;

[0028] Electronic detonators appeared ≥ At that time, the correction mechanism is triggered.

[0029] Furthermore, electronic detonators appeared. ≥ When this happens, a correction mechanism is triggered, specifically as follows:

[0030] The electronic detonator was determined to be a defective product and excluded from routine storage management.

[0031] The production parameters, such as the defect rate and assembly deviation rate of the electronic detonator, were traced to correct the multi-dimensional parameter collection standards in the production process.

[0032] Furthermore, storage regions are divided based on the lower limit and upper limit of the optimal storage time, specifically as follows:

[0033] Based on storage duration t and , Relational partitioning of storage areas:

[0034] The region awaiting stabilization, t < Distribute prohibited. Store separately in a temperature and humidity controlled chamber until t≥ ;

[0035] Optimal usage area ≤t≤g× Priority distribution is given, and samples are allocated according to key quality indicators, with 1% of samples randomly inspected each week.

[0036] Near-expiration warning zone, g× <t< Priority distribution within the specified m-time period, and random sampling of key quality indicators every A days;

[0037] Restricted area, t≥ The system locks and initiates the destruction approval process;

[0038] The aforementioned g is a constant. The setting of g needs to reserve a reasonable time interval for the near-expiration warning zone, ensuring sufficient time for priority distribution and quality sampling before electronic detonators approach their storage limit, balancing safety and inventory utilization efficiency, and guaranteeing... >g× > ;

[0039] The storage duration of each batch of detonators is automatically synchronized through an IoT system, and a partition determination is triggered every morning at midnight.

[0040] Furthermore, to achieve real-time monitoring and anomaly handling of electronic detonator data throughout its entire lifecycle, the specific methods are as follows:

[0041] Each detonator is bound to a unique RFID tag, automatically recording the time of entry into the warehouse and calculating the time in real time as well as the remaining storage time.

[0042] Weekly spot checks are conducted on detonators in the near-expiration warning zone. If key quality indicators fall below Q, they are immediately moved to the prohibited zone.

[0043] If a detonator in the stabilization zone is requested to be released from the warehouse, an audible and visual alarm will be triggered, and a notification will be sent to the monitoring platform to forcibly intercept and record traceability information.

[0044] Furthermore, the present invention also provides a full-cycle data management system for electronic detonators, specifically comprising:

[0045] The electronic detonator data acquisition module collects multi-dimensional parameters that affect the quality properties of electronic detonators and extracts the parameter features of different dimensions.

[0046] The module for determining the upper limit of optimal storage time comprehensively determines the key quality indicators of electronic detonators by considering multi-dimensional parameter characteristics, and determines the upper limit of optimal storage time for electronic detonators with different key quality indicators by combining storage environment parameters.

[0047] The module for determining the minimum optimal storage time monitors the shortest time required for the electronic detonator to reach a stable and reliable state, and determines the minimum optimal storage time for the electronic detonator.

[0048] The electronic detonator data management module divides storage areas based on the lower and upper limits of the optimal storage time, enabling real-time monitoring and anomaly handling of electronic detonator data throughout its entire lifecycle.

[0049] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0050] 1. This invention integrates process data such as weld defects and filling deviations in the production process, environmental data such as temperature, humidity and duration in the storage process, and core indicators such as response time and correlation error rate in performance testing through multi-dimensional parameter full-link collection, forming a full-cycle data chain of "production-storage-distribution". At the same time, through unique RFID tags and blockchain evidence storage, the data of each detonator is traceable and tamper-proof, providing accurate data support for quality problem tracing and production process optimization, and improving decision-making efficiency.

[0051] 2. This invention dynamically calculates the upper and lower limits of the optimal storage time through a quantitative model. Based on the decay function of key quality indicators and combined with the temperature and humidity deviation of the storage environment, it accurately calculates the upper limit of the optimal storage time. By monitoring the stable critical points of parameters such as epoxy resin curing degree and detonator sensitivity, it determines the lower limit of the optimal storage time. This avoids the problems of low storage adaptability, premature decay of some detonators, or over-storage caused by relying on experience to set the upper and lower limits of storage time in the prior art.

[0052] 3. This invention achieves interval-based partitioned management by relating storage duration to the upper and lower limits of optimal storage time. It dynamically adjusts the distribution priority based on key quality indicators and remaining storage time, ensuring that detonators within the optimal performance window are used first, which helps reduce the rate of overdue destruction of electronic detonators. By immediately locking the key quality indicators in the near-expiration zone when they fall below the threshold and forcibly intercepting erroneous requests for release in the waiting-to-stabilize zone, a "prevention-monitoring-disposal" closed loop is formed, which helps improve the coverage of risk control. Attached Figure Description

[0053] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the 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.

[0054] Figure 1 The following diagram illustrates the steps of the electronic detonator full-cycle data management method of the present invention;

[0055] Figure 2 The diagram illustrates the steps of the method for dividing storage regions based on the lower limit and upper limit of the optimal storage time according to the present invention.

[0056] Figure 3 A block diagram of the electronic detonator full-cycle data management system of the present invention is shown. 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] Example 1, such as Figure 1 , Figure 2 The illustrated method for full-cycle data management of electronic detonators includes the following steps:

[0059] Step 1: Collect multi-dimensional parameters that affect the quality properties of electronic detonators and extract the parameter features of different dimensions.

[0060] The core parameters of electronic detonators in batches are collected and their features are extracted by IoT sensors (such as high-precision temperature sensors, pressure sensors, and vision inspection equipment) on the production line. This includes using an industrial camera installed directly above the PCB conveyor belt, triggering three shots for each PCB board (covering the dense solder joint area, edge area, and interface area respectively). The solder joint contours are identified by a deep learning model (trained based on the YOLOv8 architecture, with a dataset containing 100,000+ solder joint samples), and the area of ​​cold / poor solder joints is calculated (pixel points are converted to actual area, for example, 1 pixel = 0.01 mm²). Each defective solder joint on the electronic detonator that fails to meet quality standards (i.e., solder joints with cold or poor solder joint areas exceeding a preset threshold) is monitored in real time. The ratio of the defective solder joint area to the total area of ​​all solder joints is recorded as the defect percentage of the electronic detonator.

[0061] A laser displacement sensor (accuracy ±0.01mm, sampling frequency 50Hz) is installed on the side of the filling needle. Before filling, the reference height of the empty shell is recorded. After filling, the height of the epoxy resin liquid level is measured in real time. The actual filling amount is calculated by the volume formula (filling amount = πr² × height difference, where r is the inner diameter of the shell). The filling deviation value is determined by comparing it with the preset filling amount. The ratio of the filling deviation value to the preset filling amount is recorded as the filling amount deviation rate.

[0062] A laser triangulation displacement sensor (measuring range 0-5mm, resolution 0.001mm) is installed at the end of the assembly robot arm. After the propellant head is assembled, the sensor emits a laser to the top of the propellant head and records the distance from the shell reference surface, i.e., the actual assembly depth. This is compared with the nominal assembly depth (determined according to the propellant head detonation reliability test, such as the nominal value of 3.00±0.05mm) to calculate the assembly deviation value. The ratio of the assembly deviation value to the nominal assembly depth is recorded as the assembly deviation rate.

[0063] Simulated detonation tests were conducted in a shielded test chamber. For each batch, n1% of the samples (at least 20 detonators) were randomly selected and subjected to an impact a1 times the rated voltage (the rated voltage is typically 3.6V; if a1=1.2, the impact voltage = 3.6 × 1.2 = 4.32V, simulating voltage fluctuations during transport / storage). The time from voltage application to the activation of the ignition element inside the detonator was recorded using a high-speed oscilloscope and recorded as the response time. The average response time of multiple simulated detonation tests on the same electronic detonator was calculated, along with the response time fluctuation rate (obtained by dividing the difference between the maximum and minimum response times by the average response time).

[0064] The test host and detonator are connected via a dedicated bus (such as CAN bus or RS485). The operation is performed continuously a2 times (a2=100 times, covering high-frequency operation scenarios in actual use), including ID recognition. The host sends a read command and records whether the ID returned by the detonator is the same as the preset ID. If they are different, the ID recognition is incorrect; otherwise, the ID recognition is correct.

[0065] Delay setting: The host sets n2 different delays (for example, setting 5 different delays of 10ms, 100ms, 1s, 5s, and 10s), and reads back the deviation between the set value and the command value;

[0066] By reading back the status, the internal voltage and detonation readiness status parameters of the detonator are read, the data integrity is verified, and the time of each status readback is recorded.

[0067] Preset delay setting deviation threshold and status readback timeout threshold;

[0068] An error is determined when an ID recognition error, a delay setting deviation exceeding the delay setting deviation threshold, or a status readback time exceeding the status readback timeout threshold occurs during operation; otherwise, no error is determined.

[0069] Record the number of errors that occur in a2 consecutive operations, and record the ratio of the number of errors to a2 as the associated error rate.

[0070] Step 2: Determine the key quality indicators of electronic detonators by comprehensively considering multi-dimensional parameter characteristics, and determine the upper limit of the optimal storage time for electronic detonators with different key quality indicators by combining storage environment parameters.

[0071] From the multi-dimensional parameter characteristics of electronic detonators (such as defect ratio, filling deviation rate, etc.), we determine the degree of significance of the influence of different parameter characteristics on the "detonation safety (such as the probability of mis-detonation / false detonation) and functional stability (such as delay accuracy and response consistency)" of electronic detonators;

[0072] Based on the parameter characteristics collected in the early stage, the correlation between different parameter characteristics and the final performance of electronic detonators is quantified through statistical analysis.

[0073] Randomly select historical data from N2 production batches within the past N1 months, and identify electronic detonator data that failed to detonate or whose actual detonation delay deviated from the set value by more than t1. These data are recorded as affected data, and t1 is the preset detonation deviation threshold.

[0074] Determine the number of electronic detonators with defective solder joints k1 in the affected data, and determine the average defect percentage x1 of electronic detonators with defective solder joints. Calculate the ratio of k1 to the total number of electronic detonators in the affected data, and then multiply it by x1 to obtain the defect percentage weight Y1 of electronic detonators.

[0075] Determine the number of electronic detonators k2 in the affected data whose filling deviation rate is greater than t2, and determine the average filling deviation rate x2 of k2 electronic detonators. Calculate the ratio of k2 to the total number of electronic detonators in the affected data, and then multiply it by x2 to obtain the electronic detonator filling weight Y2.

[0076] Determine the number of electronic detonators k3 with an assembly deviation rate greater than t3 in the affected data, and determine the average assembly deviation rate x3 among the k3 electronic detonators. Calculate the ratio of k3 to the total number of electronic detonators in the affected data, and then multiply it by x3 to obtain the electronic detonator assembly weight Y3.

[0077] Based on the correlation between parameter characteristics and the final performance of electronic detonators, the key quality indicators of electronic detonators are determined, and the specific formula is as follows:

[0078] ;

[0079] Where X1 represents the defect percentage, X2 represents the filling deviation rate, X3 represents the assembly deviation rate, X4 represents the response time fluctuation rate, X5 represents the correlation error rate, and 'a' is a constant value. The setting of 'a' must ensure that the results of (a - X5) and (a - Y1×X1) are positive numbers. The specific value of 'a' may be determined based on the quality standards of the electronic detonator industry and the statistical results of a large number of test data. By analyzing the correlation between the quality parameters of historical batches of electronic detonators and their actual detonation performance, the value of the key quality indicator Zl that most accurately reflects the safety and reliability of the detonator can be found.

[0080] Set a critical safety threshold Q for key quality indicators of electronic detonators, store electronic detonators with key quality indicators greater than Q, and other electronic detonators need to undergo additional enhanced testing and are not included in routine storage management;

[0081] The time it takes for a key quality indicator of an electronic detonator to decay to Q is defined as the upper limit of the storage time for that electronic detonator. Combining the storage environment and the decay pattern of the key quality indicator, a decay function for the key quality indicator as a function of storage time t is established.

[0082] ;

[0083] Where t represents time. This represents the initial key quality indicators. This represents the basic attenuation coefficient. By recording the measured values ​​of key quality indicators under different storage durations and fitting the data with an attenuation function model, it is ultimately determined to accurately reflect the overall attenuation pattern. value, This represents the environmental sensitivity coefficient. By recording the decay rate of key quality indicators under different environmental deviations and combining it with a decay function model for data fitting, it determines a coefficient that can accurately quantify the impact of environmental factors on quality decay. The value n represents the attenuation factor. Electronic detonators manufactured using different processes and made of different materials exhibit varying attenuation patterns in their quality indicators. The setting of n needs to be determined by fitting a large amount of experimental data (such as measured values ​​of key quality indicators under different storage durations) to ensure that the attenuation function accurately characterizes the quality change pattern of this type of electronic detonator. In this embodiment, n is set as follows: When the value is equal to 0.002, and the package level is IP67 Equals 0.0001, This indicates the temperature deviation, which is equal to the absolute value of the difference between the actual temperature and the preset storage temperature. This indicates the humidity deviation, which is equal to the absolute value of the difference between the actual humidity and the preset storage humidity.

[0084] make Equal to Q, we can deduce the upper limit of the storage time of the electronic detonator. If in the storage environment or Continuously exceeding the standard range (e.g.) >8℃ or >20%RH), triggering accelerated degradation correction, meaning the corrected storage duration upper limit equals the difference between the original calculated value and the degradation duration. The degradation duration equals the product of the original calculated value and the degree of impact of exceeding the duration. The degree of impact of exceeding the duration is represented by the storage environment. or The product of the duration exceeding the standard range and the preset impact factor. The impact factor can be determined according to specific circumstances and needs, and is usually jointly formulated and confirmed by professionals or relevant stakeholders.

[0085] Step 3: Monitor the shortest time required for the electronic detonator to reach a stable and reliable state, and determine the lower limit of the optimal storage time for the electronic detonator.

[0086] After the production of electronic detonators, they need to be stored for a certain period of time to achieve the stability balance of the internal components. For electronic detonators of the same production batch, under standard storage environment (such as temperature 25±2℃, humidity 50±5%RH, no violent vibration), sampling and monitoring are carried out according to time gradient (such as 12min, 24min, 36min...) to establish a "storage time-parameter change" curve.

[0087] Fourier transform infrared spectroscopy (FTIR) was used to detect the intensity changes of characteristic peaks of epoxy resin (such as the epoxy group absorption peak at 823 cm⁻¹), and the degree of cure was calculated (degree of cure = (initial peak intensity - real-time peak intensity) / initial peak intensity × 100%). The trend of the degree of cure increasing with storage time was recorded.

[0088] Minimum initiation energy tests were conducted on sampled detonators (n² samples per batch, at least 15 detonators) (applying gradually decreasing voltage and recording the energy value corresponding to a 50% initiation probability) to monitor the change in the sensitivity of the detonator head with storage time (the sensitivity may be high immediately after production due to the high freshness of the agent, and storage is required to wait for the sensitivity to stabilize within the design safety range).

[0089] When the monitoring parameters meet the stability condition, the time from the start point of storage to the monitoring time point is the lower limit of the storage time of the electronic detonator. ;

[0090] Stability conditions include:

[0091] The epoxy resin curing degree is ≥G% (to ensure sealing and structural strength). In this embodiment, G is set to 95%.

[0092] The minimum initiation energy of the propellant tip is kept within the design range (e.g., 1.2-1.5 mJ, to avoid accidental detonation due to excessively high initial activity).

[0093] If individual electronic detonators are found ≥ (If performance degrades due to manufacturing defects), a correction mechanism must be triggered:

[0094] The electronic detonator was determined to be a defective product and excluded from routine storage management.

[0095] Trace production parameters (such as defect rate and assembly deviation rate) and revise the multi-dimensional parameter collection standards in the production process (such as increasing the threshold strictness of solder joint detection).

[0096] Step 4: Divide the storage areas based on the lower limit and upper limit of the optimal storage time to achieve real-time monitoring and anomaly handling of the entire life cycle data of electronic detonators.

[0097] Based on the optimal storage time lower limit and optimal storage time upper limit of electronic detonators, a storage distribution management plan of interval management + dynamic scheduling can be constructed to ensure that detonators are used preferentially within the optimal performance window, while avoiding the unstable period when the lower limit is not reached and the risk period when the upper limit is exceeded.

[0098] like Figure 2 As shown, based on the storage time (t) of the electronic detonator and the lower limit of the optimal storage time ( ), upper limit ( Based on the relationship between the two, storage areas are divided and differentiated management is implemented to achieve physical isolation and status visualization, including:

[0099] The region awaiting stabilization, t < Distribute only. Store separately in a constant temperature and humidity chamber (e.g., temperature 20±1℃, humidity 50±3%RH). Monitor parameters such as epoxy curing degree and response time fluctuation rate daily until t≥ ;

[0100] Optimal usage area ≤t≤g× Distributable samples are prioritized for inclusion in the distribution pool and allocated according to the principle of prioritizing those with higher key quality indicators. 1% of samples from each batch are randomly sampled weekly to verify whether the key quality indicators are stable.

[0101] Near-expiration warning zone, g× <t< Prioritize distribution within the specified time frame (m), link to the project requirement database, match projects with high urgency, and conduct random checks on key quality indicators every A days to ensure they do not fall below the critical value Q.

[0102] Restricted area, t≥ The system automatically locks the device, records the prohibited status on the blockchain, initiates the destruction approval process, and prevents it from flowing into any project.

[0103] The above g is a constant. The setting of g needs to reserve a reasonable time interval for the approaching expiration warning area, ensuring that there is enough time for priority distribution and quality sampling inspection before the electronic detonators approach the storage upper limit, balancing safety and inventory utilization efficiency, and ensuring that > g × > , in this embodiment, g is set to 0.8.

[0104] Through the Internet of Things system, automatically synchronize the storage duration (t) of each batch of detonators, and trigger zonal determination at midnight every day (for example, when t rises from 0.7 × <000027​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​

[0113] The electronic detonator data management module divides storage areas based on the lower and upper limits of the optimal storage time, enabling real-time monitoring and anomaly handling of electronic detonator data throughout its entire lifecycle.

[0114] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

[0115] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

[0116] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

[0117] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for full-cycle data management of electronic detonators, characterized in that, include: Step 1: Collect multi-dimensional parameters that affect the quality properties of electronic detonators and extract the parameter features of different dimensions; Solder joint contours are identified using a deep learning model trained on the YOLOv8 architecture, and the area of ​​incomplete or cold solder joints is calculated and converted into the defect ratio. The actual filling amount is calculated by measuring the height difference of epoxy resin liquid level using a laser displacement sensor, and the filling amount deviation rate is determined. A laser triangulation displacement sensor is used to measure the deviation between the actual assembly depth and the nominal assembly depth of the propellant head, and the assembly deviation rate is calculated. Inside the shielded test chamber, n1% of the samples from each batch were randomly selected and subjected to an impact of a1 times the rated voltage. The response time was recorded using a high-speed oscilloscope, and the mean response time and the response time fluctuation rate were calculated. The test host and detonator are connected via a dedicated bus. The operation is performed continuously a2 times. The number of errors is recorded and the associated error rate is calculated. Step 2: Determine the key quality indicators of electronic detonators by comprehensively considering multi-dimensional parameter characteristics, and determine the upper limit of the optimal storage time for electronic detonators with different key quality indicators by combining storage environment parameters. By setting a critical safety threshold Q for key quality indicators of electronic detonators, and considering the storage environment and the decay law of key quality indicators, a decay function of key quality indicators as a function of storage time t is established. By setting the decay function equal to Q, the upper limit of the storage time for electronic detonators can be derived. ; Step 3: Monitor the shortest time required for the electronic detonator to reach a stable and reliable state, and determine the lower limit of the optimal storage time for the electronic detonator; In a standard storage environment, electronic detonator parameters were monitored by time-gradient sampling, including the detection of epoxy resin curing degree using Fourier transform infrared spectroscopy. Minimum initiation energy tests were conducted on sampled detonators, and the energy value corresponding to a 50% initiation probability was recorded. When the stability conditions are met, the epoxy resin curing degree is ≥ G%, and the minimum initiation energy of the detonator is stable within the design range, then the time from the start of the storage time to the monitoring time point is the lower limit of the storage time for the electronic detonator. ; Electronic detonators appeared ≥ When this happens, a correction mechanism is triggered; Step 4: Divide the storage areas based on the lower limit and upper limit of the optimal storage time to achieve real-time monitoring and anomaly handling of the entire life cycle data of electronic detonators.

2. The method for full-cycle data management of electronic detonators according to claim 1, characterized in that, The key quality indicators of electronic detonators are determined by comprehensively considering multi-dimensional parameter characteristics. The specific method is as follows: Data on electronic detonators that failed to detonate or whose detonation delay deviation was greater than t1 were identified. Defect proportion weight Y1, filling amount weight Y2, and assembly weight Y3 were calculated. t1 is the preset detonation deviation threshold. Using formula The key quality indicators are represented by X1, X2, X3, X4, X5, and a. X1 represents the defect percentage, X2 represents the filler deviation rate, X3 represents the assembly deviation rate, X4 represents the response time fluctuation rate, and X5 represents the associated error rate. a is a constant value to ensure that the results of (a - X5) and (a - Y1×X1) are positive.

3. The method for full-cycle data management of electronic detonators according to claim 1, characterized in that, Electronic detonators appeared ≥ When this happens, a correction mechanism is triggered, specifically as follows: The electronic detonator was determined to be a defective product and excluded from routine storage management. The production parameters, such as the defect rate and assembly deviation rate of the electronic detonator, were traced to correct the multi-dimensional parameter collection standards in the production process.

4. The method for full-cycle data management of electronic detonators according to claim 1, characterized in that, The storage regions are divided based on the optimal storage time lower limit and the optimal storage time upper limit. The specific method is as follows: Based on storage duration t and , Relational partitioning of storage areas: The region awaiting stabilization, t < Distribute prohibited. Store separately in a temperature and humidity controlled chamber until t≥ ; Optimal usage area ≤t≤g× Priority distribution is given, and samples are allocated according to key quality indicators, with 1% of samples randomly inspected each week. Near-expiration warning zone, g× <t< Priority distribution within the specified m-time period, and random sampling of key quality indicators every A days; Restricted areas, t≥ The system locks and initiates the destruction approval process; The above g is a constant, and it is guaranteed that... >g× > ; The storage duration of each batch of detonators is automatically synchronized through an IoT system, and a partition determination is triggered every morning at midnight.

5. The method for full-cycle data management of electronic detonators according to claim 1, characterized in that, The specific method for achieving real-time monitoring and anomaly handling of electronic detonator data throughout its entire lifecycle is as follows: Each detonator is bound to a unique RFID tag, automatically recording the time of entry into the warehouse and calculating the time in real time as well as the remaining storage time. Weekly spot checks are conducted on detonators in the near-expiration warning zone. If key quality indicators fall below Q, they are immediately moved to the prohibited zone. If a detonator in the stabilization zone is requested to be released from the warehouse, an audible and visual alarm will be triggered, and a notification will be sent to the monitoring platform to forcibly intercept and record traceability information.

6. An electronic detonator full-cycle data management system, applied to the electronic detonator full-cycle data management method according to any one of claims 1-5, characterized in that, Specifically, it includes: The electronic detonator data acquisition module collects multi-dimensional parameters that affect the quality properties of electronic detonators and extracts the parameter features of different dimensions. The module for determining the upper limit of optimal storage time comprehensively determines the key quality indicators of electronic detonators by considering multi-dimensional parameter characteristics, and determines the upper limit of optimal storage time for electronic detonators with different key quality indicators by combining storage environment parameters. The module for determining the minimum optimal storage time monitors the shortest time required for the electronic detonator to reach a stable and reliable state, and determines the minimum optimal storage time for the electronic detonator. The electronic detonator data management module divides storage areas based on the lower and upper limits of the optimal storage time, enabling real-time monitoring and anomaly handling of electronic detonator data throughout its entire lifecycle.

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