A method for intelligent processing of energy storage capacitor data in electronic detonators

Abstract

The invention discloses an intelligent processing method for energy storage capacitor data in an electronic detonator, and belongs to the technical field of electronic detonators. The method is used to solve the technical problem that multi-dimensional supervision and adaptive processing management effects of energy storage capacitors in electronic detonators of different types and different application scenarios in existing solutions are not good. The application environment data of the electronic detonators are monitored and counted, and the application environment data are processed and matching analysis of application solutions is performed. The specification parameters of the electronic detonators are monitored and counted, and the specification parameters are processed and matching analysis of target application solutions is performed. The discharge of the energy storage capacitor is targetedly supervised and processed by a complete matching application solution or a partial matching application solution, and targeted energy storage capacitor optimization management is implemented for the energy storage capacitor according to the analysis result.

Description

Technical Field

[0001] The invention relates to the technical field of electronic detonators, and in particular to a method for intelligently processing energy storage capacitor data in electronic detonators. Background Art

[0002] Electronic detonators (also called electric ignition detonators or electric detonators) are explosive devices that are detonated by electrical signals and are widely used in controlled blasting in mining, building demolition and military fields. Energy storage capacitors are mainly used to store enough electrical energy to generate a high-energy pulse that can trigger the explosive in the electric detonator.

[0003] Existing data processing schemes for energy storage capacitors in electronic detonators have defects in implementation. For example, the technical schemes disclosed in application numbers 2024111936381 and 202010367355X all focus on the supervision, processing and analysis of the energy storage capacitors themselves. However, for electronic detonators of different types and different application scenarios, they do not combine external factors to implement data processing and management of multi-dimensional influencing factors of the energy storage capacitors in the electronic detonators. As a result, the multi-dimensional supervision and adaptive processing management of energy storage capacitors in electronic detonators of different types and different application scenarios are not effective. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent processing method for energy storage capacitor data in electronic detonators, which is used to solve the technical problem of poor multi-dimensional supervision and adaptive processing management of energy storage capacitors in electronic detonators of different types and different application scenarios in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A method for intelligently processing energy storage capacitor data in an electronic detonator, comprising:

[0007] Monitor and compile statistics on the application environment data of electronic detonators, process the application environment data, and analyze the matching of application solutions to obtain target application solutions that match the application environment data of electronic detonators;

[0008] Monitor and count the specification parameters of electronic detonators, process the specification parameters and perform matching analysis on target application solutions, dynamically mark the target application solutions according to the matching analysis results, and obtain a complete matching application solution or a partial matching application solution;

[0009] The discharge of the energy storage capacitor is regulated and analyzed in a targeted manner using a complete matching application solution or a partial matching application solution, and the local discharge supervision data corresponding to the different stages of the matching application solution are obtained. Based on the local discharge supervision data of all stages, the energy storage capacitor is optimized and managed in a targeted manner, as well as the overall energy storage capacitor is optimized.

[0010] Preferably, the environment to be used for the electronic detonator is monitored and counted according to a plurality of preset application environment indicators, and the monitoring and statistical data corresponding to the plurality of application environment indicators are sorted and combined to obtain an application environment indicator supervision sequence;

[0011] When processing the application environment indicator supervision sequence, the first element in the application environment indicator supervision sequence is traversed and matched with the first indicator standard range corresponding to several sample application solutions in turn, and the sample application solution to which the first element in the application environment indicator supervision sequence belongs to the first indicator standard range is marked as a sample application solution to be selected;

[0012] The other elements in the application environment indicator supervision sequence are traversed and matched with the indicator standard ranges corresponding to several candidate sample application solutions in turn.

[0013] Preferably, if other elements in the application environment indicator supervision sequence all belong to the indicator standard range corresponding to the same candidate sample application scheme, the candidate sample application scheme is marked as the target application scheme;

[0014] If other elements in the application environment indicator supervision sequence do not all belong to the indicator standard range corresponding to the same candidate sample application scheme, the candidate sample application scheme with the largest number of elements belonging to the corresponding indicator standard range will be marked as the target application scheme.

[0015] Preferably, the specification parameters of the electronic detonator are monitored and counted according to a plurality of preset specification parameter indicators, and the monitoring and statistical data corresponding to the plurality of specification parameter indicators are sorted and combined to obtain a specification parameter indicator supervision sequence;

[0016] The elements in the specification parameter index supervision sequence are analyzed in turn through the specification application matching model, and the specification application matching value GYi of the corresponding element is output; where i is the number of different elements in the specification parameter index supervision sequence, i=1, 2, 3, ..., n; n is a positive integer;

[0017] The expression of the specification application matching model is ; In the formula, ci is the different elements in the specification parameter index supervision sequence; Ui is the standard specification parameter range in the target application scheme corresponding to the different elements;

[0018] The specification application matching values ​​obtained by matching all elements are sorted and combined to obtain a specification application matching sequence.

[0019] Preferably, the specification application matching sequence is subjected to traversal analysis;

[0020] If there is no element with a value of -1 in the specification application matching sequence, the corresponding target application solution is marked as a complete matching application solution;

[0021] If there is an element with a value of 1 in the specification application matching sequence, the corresponding target application solution is marked as a partially matching application solution.

[0022] Preferably, a standard phase monitoring period corresponding to a complete matching application solution or a partial matching application solution is obtained, and periodic discharge data supervision is performed on the energy storage capacitor that has completed charging according to the standard phase monitoring period, and the discharge supervision data in the standard phase monitoring period is analyzed through a discharge supervision model, and a discharge identification value FS corresponding to the energy storage capacitor in the corresponding standard phase monitoring period is output;

[0023] The expression of the discharge supervision model is: ; In the formula, Qx is the leakage charge of the energy storage capacitor during the standard stage monitoring period; Dz is the total discharge voltage of the energy storage capacitor during the standard stage monitoring period; Dz´ is the standard total discharge voltage of the energy storage capacitor during the standard stage monitoring period.

[0024] Preferably, the leakage abnormality or voltage abnormality of the energy storage capacitor within the monitoring period of the standard stage is marked according to the discharge identification value with a value of 1;

[0025] According to the discharge identification value of 2, the leakage anomaly and voltage anomaly of the energy storage capacitor within the monitoring period of the standard stage are marked.

[0026] Preferably, according to the discharge identification value having a non-zero value, the formula Calculate and obtain the stage discharge abnormal value JY corresponding to the standard stage monitoring period of the energy storage capacitor; where T is the duration corresponding to the standard stage monitoring period; a and b are different proportional coefficients, and a and b are both greater than 1;

[0027] The calculated discharge identification values ​​and stage discharge abnormal values ​​are sorted and combined to obtain the local discharge supervision data of the corresponding stage.

[0028] Preferably, if the stage discharge abnormality value is less than 1, the standard stage monitoring period is associated with a mild abnormal stage state;

[0029] Otherwise, the standard stage monitoring period will be associated with the severe abnormal stage status;

[0030] Maintaining the stage supervision of the subsequent standard stage monitoring period according to the discharge identification value of 0;

[0031] The subsequent implementation of the first stage adjustment period is supervised according to the mild abnormal stage status;

[0032] The subsequent implementation of the second stage adjustment period will be subject to phase supervision based on the status of the severe abnormal stage.

[0033] Preferably, all partial discharge supervision data of the energy storage capacitor monitored and processed at all stages are obtained, and all partial discharge supervision data are traversed and analyzed. If only leakage anomalies or voltage anomalies exist in all partial discharge supervision data, targeted local energy storage capacitor optimization management is implemented for the energy storage capacitor;

[0034] If leakage anomalies and voltage anomalies exist in all partial discharge monitoring data at the same time, targeted overall energy storage capacitor optimization management will be implemented for the energy storage capacitor.

[0035] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0036] The present invention monitors and compiles application environment data of electronic detonators, processes the application environment data, and performs matching analysis on application solutions, thereby implementing a round of screening and matching analysis on energy storage capacitors of electronic detonators from the application environment level, which can effectively improve the regulatory processing effect of energy storage capacitors at the application environment level.

[0037] The present invention monitors and compiles statistics on the specification parameters of electronic detonators, processes the specification parameters, and performs matching analysis on target application solutions, thereby realizing a second round of screening and matching analysis of the energy storage capacitors of electronic detonators from the level of specification parameters of electronic detonators, which can effectively improve the regulatory processing effect of the energy storage capacitors at the level of their own specification parameters.

[0038] The present invention performs targeted stage supervision and processing analysis on the discharge of energy storage capacitors by utilizing a complete matching application scheme or a partial matching application scheme, and implements targeted energy storage capacitor optimization management on the energy storage capacitors according to the analysis results, thereby realizing multi-dimensional supervision analysis and diversified autonomous optimization management of electronic detonator energy storage capacitors, and improving the multi-dimensional supervision and adaptive processing management effects of energy storage capacitors in electronic detonators of different types and different application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Figure 1 The present invention is a flowchart of a method for intelligently processing energy storage capacitor data in an electronic detonator.

[0041] Figure 2 It is a flowchart of the dynamic management of stage supervision in the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] like Figure 1 As shown, the present invention is a method for intelligently processing energy storage capacitor data in an electronic detonator, comprising:

[0044] Monitor and compile statistics on the application environment data of electronic detonators, process the application environment data, and analyze the matching of application solutions to obtain target application solutions that match the application environment data of electronic detonators; including:

[0045] The environment to be used for the electronic detonator is monitored and counted according to a number of preset application environment indicators, and the monitoring and statistical data corresponding to the several application environment indicators are sorted and combined to obtain an application environment indicator supervision sequence;

[0046] Among them, several application environment indicators, including but not limited to temperature, humidity and air pressure, can be added, deleted or modified according to actual application scenarios and actual application requirements;

[0047] High temperature: Excessively high temperature will accelerate the aging of the internal materials of the capacitor, increase the leakage current, reduce the capacity of the capacitor, and may cause dielectric breakdown;

[0048] Low temperatures: Extremely low temperatures may increase the equivalent series resistance (ESR) of certain types of capacitors (such as aluminum electrolytic capacitors), thereby reducing their efficiency and may affect the charging and discharging characteristics of the capacitor;

[0049] High humidity environment may cause condensation on the surface or inside of the capacitor, which may cause short circuit risk or increase leakage current, thus affecting the working stability and reliability of the capacitor;

[0050] At high altitudes, the air pressure is lower and the air density is reduced, which can affect the heat dissipation and insulation performance of the capacitor, especially for those components that rely on the surrounding air as a cooling medium;

[0051] And when the explosion is used underwater or deep underground, higher energy is required;

[0052] When processing the application environment indicator supervision sequence, the first element in the application environment indicator supervision sequence is traversed and matched with the first indicator standard range corresponding to several sample application solutions in turn, and the sample application solution to which the first element in the application environment indicator supervision sequence belongs to the first indicator standard range is marked as a sample application solution to be selected;

[0053] It should be noted that several sample application schemes are pre-set based on historical explosion monitoring data and explosion test data, and different sample application schemes are pre-associated with several indicator standard ranges corresponding to application environment indicators;

[0054] Traverse and match the other elements in the application environment indicator supervision sequence with the indicator standard ranges corresponding to several candidate sample application solutions in turn;

[0055] If other elements in the application environment indicator supervision sequence all belong to the indicator standard range corresponding to the same candidate sample application plan, the candidate sample application plan will be marked as the target application plan;

[0056] If other elements in the application environment indicator supervision sequence do not all belong to the indicator standard range corresponding to the same candidate sample application scheme, the candidate sample application scheme with the largest number of elements belonging to the corresponding indicator standard range shall be marked as the target application scheme;

[0057] In an embodiment of the present invention, by monitoring and counting the application environment data of electronic detonators, processing the application environment data and performing matching analysis on application solutions, a round of screening and matching analysis of the energy storage capacitors of electronic detonators is implemented from the application environment level, which can effectively improve the supervision and processing effect of the energy storage capacitors at the application environment level.

[0058] Monitor and count the specification parameters of electronic detonators, process the specification parameters, and perform matching analysis on target application solutions. Dynamically mark the target application solutions according to the matching analysis results to obtain complete matching application solutions or partial matching application solutions; including:

[0059] The specification parameters of the electronic detonator are monitored and counted according to a number of preset specification parameter indicators, and the monitoring and statistical data corresponding to the number of specification parameter indicators are sorted and combined to obtain a specification parameter indicator supervision sequence;

[0060] Among them, several preset specification parameters, including but not limited to package type, capacitance value, rated voltage and equivalent series resistance, can be added, deleted or modified according to actual application scenarios and actual application requirements;

[0061] The elements in the specification parameter index supervision sequence are analyzed in turn through the specification application matching model, and the specification application matching value GYi of the corresponding element is output; where i is the number of different elements in the specification parameter index supervision sequence, i=1, 2, 3, ..., n; n is a positive integer;

[0062] The expression of the specification application matching model is ; In the formula, ci is the different elements in the specification parameter index supervision sequence; Ui is the standard specification parameter range in the target application scheme corresponding to the different elements;

[0063] Sort and combine the specification application matching values ​​obtained by matching all elements to obtain a specification application matching sequence;

[0064] In an embodiment of the present invention, the specification parameters of the electronic detonator are monitored, counted and data processed according to a number of preset specification parameter indicators, so that the matching results between the different specification parameters of the electronic detonator and the target application scheme can be obtained and digitally represented, and reliable local supervision data support can be provided for the subsequent supervision and determination of the electronic detonator energy storage capacitor.

[0065] Apply matching sequence to the specification for traversal analysis;

[0066] If there is no element with a value of -1 in the specification application matching sequence, the corresponding target application solution is marked as a complete matching application solution;

[0067] If there is an element with a value of 1 in the specification application matching sequence, the corresponding target application solution is marked as a partially matching application solution;

[0068] In the embodiment of the present invention, by monitoring and counting the specification parameters of the electronic detonator, processing the specification parameters and performing matching analysis on the target application scheme, a two-round screening and matching analysis of the energy storage capacitor of the electronic detonator is implemented from the specification parameter level of the electronic detonator, which can effectively improve the regulatory processing effect of the energy storage capacitor at the specification parameter level of the electronic detonator itself.

[0069] Use the complete matching application solution or the partial matching application solution to conduct targeted stage supervision and processing analysis on the discharge of the energy storage capacitor, obtain the partial discharge supervision data corresponding to the different stages of the matching application solution, and implement targeted local energy storage capacitor optimization management and overall energy storage capacitor optimization management based on the partial discharge supervision data of all stages; including:

[0070] Obtain the standard phase monitoring period corresponding to the complete matching application solution or the partial matching application solution. The standard phase monitoring period corresponding to the complete matching application solution is greater than the standard phase monitoring period corresponding to the partial matching application solution, so that targeted phase supervision and analysis can be implemented according to different matching application solutions. The specific value of the standard phase monitoring period can be determined according to the previous test data, and can also be customized according to the actual application requirements of the actual application scenario. According to the standard phase monitoring period, the energy storage capacitor that has completed charging is subject to periodic discharge data supervision, and the discharge supervision data in the standard phase monitoring period is analyzed through the discharge supervision model, and the discharge identification value FS corresponding to the energy storage capacitor in the corresponding standard phase monitoring period is output;

[0071] The expression of the discharge supervision model is: ; In the formula, Qx is the leakage charge of the energy storage capacitor during the standard stage monitoring period; Dz is the total discharge voltage of the energy storage capacitor during the standard stage monitoring period; Dz´ is the standard total discharge voltage of the energy storage capacitor during the standard stage monitoring period, which is determined according to the design requirement data corresponding to the complete matching application solution or the partial matching application solution;

[0072] The discharge identification value contains a value of 0, 1, or 2;

[0073] A discharge identification value of 0 indicates that the discharge of the energy storage capacitor is normal within the monitoring period of the standard stage;

[0074] A discharge identification value of 1 indicates that the discharge portion of the energy storage capacitor within the monitoring period of the standard stage is abnormal;

[0075] A discharge identification value of 2 indicates that the discharge phase of the energy storage capacitor within the standard phase monitoring period is abnormal;

[0076] According to the discharge identification value of 1, the leakage abnormality or voltage abnormality of the energy storage capacitor within the monitoring period of the standard stage is marked;

[0077] According to the discharge identification value of 2, the leakage anomaly and voltage anomaly of the energy storage capacitor within the monitoring period of the standard stage are marked;

[0078] In the embodiment of the present invention, by analyzing the supervision data within the standard stage monitoring period through a discharge supervision model, and dynamically marking the discharge state of the energy storage capacitor within the standard stage monitoring period according to the analysis result, it is possible to digitally process and represent the discharge state of the energy storage capacitor within the standard stage monitoring period, and provide reliable stage supervision processing data support for the subsequent determination and optimization management of the energy storage capacitor.

[0079] According to the discharge identification value with a non-zero value, the formula Calculate and obtain the corresponding stage discharge abnormal value JY of the energy storage capacitor in the standard stage monitoring period; where T is the duration corresponding to the standard stage monitoring period; a and b are different proportional coefficients, and a and b are both greater than 1, a can be 1.37, and b can be 1.84;

[0080] It should be noted that the stage discharge abnormal value is used to integrate and calculate the different abnormal data obtained during the standard stage monitoring period to digitally represent the abnormal stage state of the energy storage capacitor during the standard stage supervision period;

[0081] like Figure 2 As shown, the calculated discharge identification values ​​and the stage discharge abnormal values ​​are sorted and combined to obtain the partial discharge supervision data of the corresponding stage;

[0082] If the stage discharge abnormality value is less than 1, the standard stage monitoring period is associated with the mild abnormal stage state;

[0083] Otherwise, the standard stage monitoring period will be associated with the severe abnormal stage status;

[0084] Maintaining the stage supervision of the subsequent standard stage monitoring period according to the discharge identification value of 0;

[0085] The subsequent implementation of the first stage adjustment period is supervised according to the mild abnormal stage status;

[0086] The subsequent implementation of the second stage adjustment period is supervised according to the severe abnormal stage status;

[0087] Among them, the duration of the first stage adjustment period is shorter than the duration of the standard stage monitoring period, and the duration of the second stage adjustment period is shorter than the duration of the first stage adjustment period; the standard stage monitoring period is dynamically adjusted according to the abnormal stage state obtained through analysis, so as to implement targeted supervision and processing analysis on the energy storage capacitors in the abnormal stage state in the future;

[0088] Obtain all partial discharge supervision data monitored and processed by the energy storage capacitor at all stages, and perform traversal analysis on all partial discharge supervision data. If only leakage anomalies or voltage anomalies exist in all partial discharge supervision data, implement targeted local energy storage capacitor optimization management on the energy storage capacitor; for example, optimize management for leakage anomalies or voltage anomalies, and the optimization management may be an existing technical solution, such as the technical solution disclosed in application numbers 2024111936381 and 202010367355X. The specific steps are not repeated here.

[0089] If leakage anomalies and voltage anomalies exist in all partial discharge monitoring data at the same time, targeted overall energy storage capacitor optimization management will be implemented for the energy storage capacitor; both leakage anomalies and voltage anomalies will be optimized;

[0090] And, according to the leakage abnormality management and / or voltage abnormality management of the energy storage capacitor, the standard specification parameter range corresponding to the complete matching application solution or the partial matching application solution is adjusted and managed, for example, the standard specification parameter range corresponding to the leakage abnormality management and / or voltage abnormality management is shortened or expanded;

[0091] In the embodiments of the present invention, by utilizing a complete matching application scheme or a partial matching application scheme to perform targeted stage supervision and processing analysis on the discharge of the energy storage capacitor, and implementing targeted energy storage capacitor optimization management on the energy storage capacitor based on the analysis results, multi-dimensional supervision analysis and diversified autonomous optimization management of the electronic detonator energy storage capacitor are achieved, thereby improving the multi-dimensional supervision and adaptive processing management effect of the energy storage capacitor in electronic detonators of different types and different application scenarios.

[0092] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0093] In the several embodiments provided by the present invention, it should be understood that the disclosed method can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0094] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0095] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0096] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for intelligently processing energy storage capacitor data in an electronic detonator, characterized in that: include: Monitor and compile statistics on the application environment data of electronic detonators, process the application environment data, and analyze the matching of application solutions to obtain target application solutions that match the application environment data of electronic detonators; Monitor and count the specification parameters of electronic detonators, process the specification parameters and perform matching analysis on target application solutions, dynamically mark the target application solutions according to the matching analysis results, and obtain a complete matching application solution or a partial matching application solution; Among them, the specification parameters of the electronic detonator are monitored and counted according to a number of preset specification parameter indicators, and the monitoring and statistical data corresponding to the number of specification parameter indicators are sorted and combined to obtain a specification parameter indicator supervision sequence; The elements in the specification parameter index supervision sequence are analyzed in turn through the specification application matching model, and the specification application matching value GYi of the corresponding element is output; where i is the number of different elements in the specification parameter index supervision sequence, i=1, 2, 3, ..., n; n is a positive integer; The expression of the specification application matching model is ; In the formula, ci is the different elements in the specification parameter index supervision sequence; Ui is the standard specification parameter range in the target application scheme corresponding to the different elements; Sort and combine the specification application matching values ​​obtained by matching all elements to obtain a specification application matching sequence; Apply matching sequence to the specification for traversal analysis; If there is no element with a value of -1 in the specification application matching sequence, the corresponding target application solution is marked as a complete matching application solution; If there is an element with a value of -1 in the specification application matching sequence, the corresponding target application solution is marked as a partially matching application solution; The discharge of the energy storage capacitor is regulated and analyzed in a targeted manner using a complete matching application solution or a partial matching application solution, and the local discharge supervision data corresponding to the different stages of the matching application solution are obtained. Based on the local discharge supervision data of all stages, the energy storage capacitor is optimized and managed in a targeted manner, as well as the overall energy storage capacitor is optimized.

2. The method for intelligently processing energy storage capacitor data in an electronic detonator according to claim 1, characterized in that: The environment to be used for the electronic detonator is monitored and counted according to a number of preset application environment indicators, and the monitoring and statistical data corresponding to the several application environment indicators are sorted and combined to obtain an application environment indicator supervision sequence; When processing the application environment indicator supervision sequence, the first element in the application environment indicator supervision sequence is traversed and matched with the first indicator standard range corresponding to several sample application solutions in turn, and the sample application solution to which the first element in the application environment indicator supervision sequence belongs to the first indicator standard range is marked as a sample application solution to be selected; The other elements in the application environment indicator supervision sequence are traversed and matched with the indicator standard ranges corresponding to several candidate sample application solutions in turn.

3. The method for intelligently processing energy storage capacitor data in an electronic detonator according to claim 2, characterized in that: If other elements in the application environment indicator supervision sequence all belong to the indicator standard range corresponding to the same candidate sample application plan, the candidate sample application plan shall be marked as the target application plan; If other elements in the application environment indicator supervision sequence do not all belong to the indicator standard range corresponding to the same candidate sample application scheme, the candidate sample application scheme with the largest number of elements belonging to the corresponding indicator standard range will be marked as the target application scheme.

4. The method for intelligently processing energy storage capacitor data in an electronic detonator according to claim 1, characterized in that: Obtain the standard phase monitoring period corresponding to the complete matching application solution or the partial matching application solution, implement periodic discharge data supervision on the energy storage capacitor that has completed charging according to the standard phase monitoring period, and analyze the discharge supervision data in the standard phase monitoring period through the discharge supervision model, and output the discharge identification value FS corresponding to the energy storage capacitor in the corresponding standard phase monitoring period; The expression of the discharge supervision model is: ; In the formula, Qx is the leakage charge of the energy storage capacitor during the standard stage monitoring period; Dz is the total discharge voltage of the energy storage capacitor during the standard stage monitoring period; Dz´ is the standard total discharge voltage of the energy storage capacitor during the standard stage monitoring period.

5. The method for intelligently processing energy storage capacitor data in an electronic detonator according to claim 4, characterized in that: According to the discharge identification value of 1, the leakage abnormality or voltage abnormality of the energy storage capacitor within the monitoring period of the standard stage is marked; According to the discharge identification value of 2, the leakage anomaly and voltage anomaly of the energy storage capacitor within the monitoring period of the standard stage are marked.

6. The method for intelligently processing energy storage capacitor data in an electronic detonator according to claim 5, characterized in that: According to the discharge identification value with a non-zero value, the formula Calculate and obtain the stage discharge abnormal value JY corresponding to the standard stage monitoring period of the energy storage capacitor; where T is the duration corresponding to the standard stage monitoring period; a and b are different proportional coefficients, and both a and b are greater than 1; The calculated discharge identification values ​​and stage discharge abnormal values ​​are sorted and combined to obtain the local discharge supervision data of the corresponding stage.

7. The method for intelligently processing energy storage capacitor data in an electronic detonator according to claim 6, characterized in that: If the stage discharge abnormality value is less than 1, the standard stage monitoring period is associated with the mild abnormal stage state; Otherwise, the standard stage monitoring period will be associated with the severe abnormal stage status; Maintaining the stage supervision of the subsequent standard stage monitoring period according to the discharge identification value of 0; The subsequent implementation of the first stage adjustment period is supervised according to the mild abnormal stage status; The subsequent implementation of the second stage adjustment period will be subject to phase supervision based on the status of the severe abnormal stage.

8. The method for intelligently processing energy storage capacitor data in an electronic detonator according to claim 7, characterized in that: Obtain all partial discharge supervision data of the energy storage capacitors monitored and processed at all stages, and perform traversal analysis on all partial discharge supervision data. If only leakage anomalies or voltage anomalies exist in all partial discharge supervision data, implement targeted local energy storage capacitor optimization management for the energy storage capacitors. If leakage anomalies and voltage anomalies exist in all partial discharge monitoring data at the same time, targeted overall energy storage capacitor optimization management will be implemented for the energy storage capacitor.

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