Special work electronic ticket configurable management method and system based on digital analysis

Abstract

The invention discloses a special job electronic ticket configurable management method and system based on digital analysis, and the method comprises the steps: building a shared task library and a standard template, executing a general configuration operation, carrying out the risk prediction of a special job according to the priority order of a task item list, and determining a general task item; sequentially adding different general task items into all associated special job electronic tickets in batches to obtain a plurality of intermediate tickets; the method comprises the steps of calculating the comprehensive association degree of intermediate tickets, determining a parallel configuration task set and a linkage configuration task set comprising mother tickets and sub-tickets, executing personalized configuration operation comprising parallel configuration of the parallel configuration task set and linkage configuration of the mother tickets and the sub-tickets of the linkage configuration task set, and generating a plurality of to-be-approved target special job electronic tickets. According to the invention, electronic ticket configuration can be carried out from different angles of the task association ticket and the ticket linkage task, the configuration rationality is improved, and the operation efficiency and the resource utilization rate are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of job ticket management, and in particular to a configurable management method and system for special job electronic tickets based on digital analysis. Background Art

[0002] Traditional special operations management typically uses paper work tickets or simple electronic documents to record and manage job information. These traditional methods are not only inefficient but also prone to errors, making them difficult to adapt to the high safety and efficiency requirements of modern industrial production. Traditional work ticket management systems are particularly inadequate in complex scenarios involving multi-department collaboration and cross-regional operations. For example, they create information silos and struggle to meet the personalized needs of different job types. Furthermore, when multiple tasks are executed concurrently or have sequential dependencies, traditional systems struggle to achieve efficient collaborative work, resulting in wasted resources and time delays. Summary of the Invention

[0003] In order to solve at least one of the technical problems raised above, the present invention provides a configurable management method and system for special operation electronic tickets based on digital analysis.

[0004] In a first aspect, the present invention provides a configurable management method for electronic tickets for special operations based on digital analysis, the method comprising:

[0005] Establish a shared task library and standard templates for various special operation electronic tickets. The shared task library contains a list of task items to be performed. The standard template can be customized to configure one or more task items.

[0006] Perform general configuration operations, predict the risks of each special operation according to the priority order of the task item list and the historical data of each special operation, and determine the general task items based on the prediction results; then batch add different general task items to all associated special operation electronic tickets, resulting in several special operation electronic tickets of different types, which are marked as intermediate tickets;

[0007] Analyze the associations between different types of intermediate tickets to obtain the comprehensive correlation between each pair of intermediate tickets. Based on the comprehensive correlation, determine the parallel configuration task set and the linkage configuration task set, and determine the parent ticket and child ticket in the linkage configuration task set. The parent ticket has a higher configuration priority than the child ticket.

[0008] Execute personalized configuration operations. For parallel configuration task sets, configure the personalized task items of each special operation electronic ticket in parallel; for linkage configuration task sets, when configuring the personalized task items of the parent ticket, configure the personalized tasks of the child ticket in linkage according to the preset rules until all configuration task sets are completed, and generate several target special operation electronic tickets for approval.

[0009] Preferably, the operation types of the special operation electronic tickets at least include hot work operation, blind plate removal and plugging operation risks, high-altitude operation, and temporary power use operation.

[0010] Preferably, the risk prediction of each special operation based on the historical data of each special operation includes:

[0011] Performing risk prediction for hot work operation:

[0012]

[0013] In the formula, \(R_{hot}\) represents the risk value of hot work operation, \(C_{combustible}\) represents the concentration of combustible gas, \(D_{fire}\) represents the distance from the ignition source, \(V_{ventilation}\) represents the ventilation condition, \(F_{evaluation}\) represents the effectiveness score of fire prevention measures; \(e\) represents the natural constant;

[0014] Performing risk prediction for blind plate removal and plugging operation:

[0015]

[0016] In the formula, \(R_{blind}\) represents the risk value of blind plate removal and plugging operation, \(P_{pipe}\) represents the pipeline pressure, \(D_{pipe}\) represents the pipeline diameter, \(S_{evaluation}\) represents the proficiency score of the operator for blind plate removal and plugging operation, \(T_{evaluation}\) represents the toxicity score of the medium;

[0017] Performing risk prediction for high-altitude operation:

[0018]

[0019] In the formula, \(R_{high-altitude}\) represents the risk value of high-altitude operation, \(L_{high}\) represents the height of high-altitude operation, \(\alpha\) represents an empirical parameter, with a value range of \(1\lt\alpha\lt3\), \(B_{prevention}\) represents the effectiveness score of protection measures, \(W_{evaluation}\) represents the weather condition score, \(t\) represents the high-altitude operation time;

[0020] Performing risk prediction for temporary power use operation:

[0021]

[0022] In the formula, \(R_{temporary}\) represents the risk value of temporary power use operation, \(I_{electricity}\) represents the current intensity, \(I_{insulation}\) represents the insulation performance score, \(\beta\) represents an empirical parameter, with a value range of \(0.1\lt\alpha\lt1\), \(H_{high}\) represents the environmental humidity score, \(A_{evaluation}\) represents the proficiency score of the operator for temporary power use operation.

[0023] Preferably, the identification of all special operations associated with each task item according to the prediction results includes:

[0024] Dividing the risk levels of each special operation according to the risk prediction values of each special operation;

[0025] Based on any task item, the task item is divided into subtask operations, and each subtask corresponds to a risk level;

[0026] Determine whether the risk level of the current special task matches the subtask. If the match is successful, determine that the current task item is associated with the current special task. After all special tasks are matched, determine all special tasks associated with each task item.

[0027] Preferably, analyzing the correlation between different types of interim bills to obtain the comprehensive correlation between any two interim bills includes:

[0028] Obtaining evaluation indicators, including resource crossover, sequence logic, and risk crossover indicators between different special operations, as well as operation frequency and historical accident rate of each special operation;

[0029] A 5×5 judgment matrix was constructed based on the five evaluation indicators. The matrix elements were determined according to the relative importance of each pair of indicators and assigned values ​​using the 1-9 scaling method.

[0030] Normalize each column of the judgment matrix and calculate the average value of each row of the normalized matrix as the weight vector of the evaluation index;

[0031] The historical data of each special operation is standardized, and the grey correlation degree of each special operation under each evaluation index is calculated based on the standardized data. The weight vector of each evaluation index is multiplied by the grey correlation degree, and the comprehensive correlation degree is obtained by weighted summation.

[0032] Preferably, the grey relational degree of each special task under each evaluation indicator is calculated based on the standardized data, including:

[0033]

[0034] Δ ik =|x ik -y k |

[0035] Where, γ i represents the grey relational degree of the i-th special task under the k-th evaluation index, Δ ik represents the deviation of the i-th special task under the k-th evaluation index, x ik is the standardized historical data of special operation i, y k is the reference sequence, and ρ is the resolution coefficient, which ranges from 0 to 1.

[0036] In a second aspect, the present invention further provides a configurable management system for special operation electronic tickets based on digital analysis, the system comprising:

[0037] A task library construction unit is used to establish a shared task library and standard templates for various special operation electronic tickets. The shared task library contains a list of task items to be executed, and the standard template can be customized to configure one or more task items;

[0038] The general configuration unit is used to perform general configuration operations. It predicts the risk of each special operation according to the priority order of the task item list and the historical data of each special operation, and determines the general task items based on the prediction results. Different general task items are added to all related special operation electronic tickets in batches in sequence, resulting in several special operation electronic tickets of different types, which are marked as intermediate tickets.

[0039] The association analysis unit is used to analyze the association relationship between different types of intermediate tickets, obtain the comprehensive association degree between each intermediate ticket, determine the parallel configuration task set and the linkage configuration task set based on the size of the comprehensive association degree, and determine the parent ticket and child ticket in the linkage configuration task set, where the configuration priority of the parent ticket is higher than the configuration priority of the child ticket;

[0040] The personalized configuration unit is used to perform personalized configuration operations. For parallel configuration task sets, the personalized task items of each special operation electronic ticket are configured in parallel; for linkage configuration task sets, when configuring the personalized task items of the parent ticket, the personalized tasks of the child ticket are linked and configured according to the preset rules until all configuration task sets are completed, and several target special operation electronic tickets for approval are generated.

[0041] In a third aspect, the present invention also provides an electronic device comprising a processor and a memory, wherein the memory is used to store computer program code, and the computer program code comprises computer instructions. When the processor executes the computer instructions, the electronic device executes the method as described in the first aspect above and any possible implementation thereof.

[0042] In a fourth aspect, the present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions, and when the program instructions are executed by a processor of an electronic device, the processor executes the method as described in the first aspect above and any possible implementation method thereof.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1) Establish a shared task library and standardized templates. By building a unified shared task library and customizable standard templates, this approach solves the problem of information silos and ensures information transparency and consistency. This not only improves operator efficiency but also facilitates global monitoring and decision-making for management.

[0045] 2) Leveraging historical data analysis for risk prediction. Through deep learning and analysis of historical data, we can more accurately predict potential risks during operations, enabling proactive preventative measures and effectively reducing the incidence of accidents. This data-driven risk management mechanism significantly improves operational safety.

[0046] 3) Support for personalized configuration of different types of operations ensures flexibility in the operational process while meeting the unique needs of specific operations, expanding the system's scope of application. By associating tasks with e-ticket types, batch operations can be performed. Furthermore, from the perspective of personalized e-ticket configuration, e-tickets for different special operations can be configured on demand. This greatly improves the efficiency of e-ticket configuration and the rationality of configuration content, thereby increasing the efficiency of special operation supervision.

[0047] 4) Optimize parallel and linkage configuration. By analyzing the comprehensive correlation of intermediate tickets, we rationally plan parallel configuration task sets and linkage configuration task sets, so that multiple jobs can be carried out simultaneously or linked on demand, greatly improving job efficiency, reducing waiting time and resource idleness, and achieving optimal resource utilization.

[0048] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the background technology, the drawings required for use in the embodiments of the present invention or the background technology will be described below.

[0050] The accompanying drawings herein are incorporated into and constitute a part of the specification. These drawings illustrate embodiments consistent with the present disclosure and, together with the specification, are used to explain the technical solutions of the present disclosure.

[0051] Figure 1 A flowchart of a configurable management method for electronic tickets for special operations based on digital analysis provided by an embodiment of the present invention;

[0052] Figure 2 A structural diagram of a configurable management system for electronic tickets for special operations based on digital analysis provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the embodiments described 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 making creative efforts shall fall within the scope of protection of the present invention.

[0054] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0055] At present, when configuring electronic tickets for special operations, the inherent connections between the various special operations are usually ignored, resulting in information islands. During configuration, only the required detection items of each operation are considered separately and configured one by one. This method not only makes the operation ticket management work inefficient, but also further affects the efficiency and resource utilization of the subsequent operation process due to the lack of configuration rationality. To this end, the present invention aims to provide a configurable management method for electronic tickets for special operations based on digital analysis, which can configure batches of operation tickets by associating them with task items, and can also personalize and link the configuration of task items from the perspective of operation tickets, thereby greatly improving the configuration efficiency and rationality, and further improving the energy efficiency and resource utilization of special operation risk management work.

[0056] See also Figure 1 , Figure 1 The flowchart of a configurable management method of special operation electronic tickets based on digital analysis provided by an embodiment of the present invention is as follows. Figure 1 As shown, the method includes:

[0057] S10. Establish a shared task library and standard templates for various special operation electronic tickets. The shared task library contains a list of task items to be executed, and the standard template can be customized to configure one or more task items.

[0058] The shared task library is a database that centrally stores and manages all special task items. It contains a list of all possible special task items within the enterprise. Each task item describes in detail the specific content of the task, required resources, execution steps, safety requirements, and other information.

[0059] Task item management provides a unified platform for creating, editing, deleting, and querying task items. Task items are categorized by specific job type for quick search and access. While different specialized jobs may have their own unique task item requirements, there are also common tasks such as safety permit approval, work environment inspections, and safety equipment and personal protective equipment testing.

[0060] Standard templates are pre-designed e-ticket formats based on the requirements of specific types of special operations. These templates contain all the task items required to complete a particular type of special operation and can be customized according to actual needs. Typically, users can select the required task items from a shared task library and add them to the standard template. Users can add, delete, or modify task items based on the requirements of the specific operation. Templates allow users to add custom fields to the template to meet the personalized needs of specific operations. For example, additional safety checks and operating conditions can be added. Templates can also preset certain rules, such as the execution order of task items and the dependencies between task items, to ensure the standardization and security of the operation process. Finally, an approval process is defined for the standard template to ensure that each special operation e-ticket undergoes the necessary review and approval before execution.

[0061] S20. Execute general configuration operations, perform risk prediction for each special operation according to the priority order of the task item list and the historical data of each special operation, and determine the general task items based on the prediction results; add different general task items in batches to all associated special operation electronic tickets in turn, and obtain several special operation electronic tickets of different types, which are marked as intermediate tickets.

[0062] First, prioritize your to-do list based on its importance and urgency. Prioritization can be based on the following factors:

[0063] Security risk level: High-risk task items have higher priority.

[0064] Job complexity: Task items with high complexity have higher priority.

[0065] Job frequency: Frequently executed tasks have a higher priority.

[0066] Legal and regulatory requirements: Task items that must comply with legal and regulatory requirements have the highest priority.

[0067] Furthermore, relevant data on all special operations in the past period is collected, including operation type, operation time, operation location, participants, tools and equipment used, operation results and accident records, etc. Then, risk prediction is carried out for each special operation.

[0068] Preferably, all special operations associated with each task item are identified based on the risk prediction results, including:

[0069] 1) Task item association matrix: Establish an association matrix between task items and special tasks. Each element in the matrix represents the correlation between a task item and a special task.

[0070] 2) Correlation calculation: Based on the results of historical data analysis, calculate the correlation between each task item and each special operation.

[0071] 3) Threshold setting: Set a correlation threshold. Task items above this threshold are considered to be strongly correlated with special tasks.

[0072] After determining the correlation, you can filter the correlation between task items and special operations. If a task item is associated with more than one special operation, it can be treated as a general task item. For example, the work environment inspection task item is strongly associated with every special operation. This means that when configuring e-tickets, this general task item can be added to all different types of special operations in batches. For example, the combustible gas concentration detection task item is typically only associated with hot work, so it is not configured as a general task item in this step. After determining all general task items and the special tasks associated with each general task item, you can batch add the general task items to different special operations. For example, if there are 50 task items in the task item list, 3 of which are general tasks (A, B, and C), then general task A is associated with special operations 1 and 2, general task B is associated with special operations 2, 3, and 4, and general task C is associated with special operations 1, 4, and so on. All general task items are configured in this way, and the general configuration operation is complete. After this operation is completed, some special operation electronic tickets have completed partial configuration, and some have not yet been configured. At this time, they can be classified according to the type of special operation electronic tickets to obtain several intermediate special operation electronic tickets, referred to as intermediate tickets.

[0073] S30. Analyze the association relationships between different types of intermediate tickets to obtain a comprehensive correlation between any two intermediate tickets. Determine a parallel configuration task set and a linkage configuration task set based on the comprehensive correlation, and determine the parent ticket and child ticket in the linkage configuration task set. The parent ticket has a higher configuration priority than the child ticket.

[0074] In one embodiment, the correlation analysis and the calculation of the comprehensive correlation can be achieved through a correlation matrix, which constructs a correlation matrix between intermediary tickets and task items. Each element in the matrix indicates whether a certain intermediary ticket contains a certain task item. For example, if intermediary ticket A contains task item 1, the corresponding position in the matrix is ​​1, otherwise it is 0. A similarity calculation method such as cosine similarity is used to calculate the comprehensive correlation between each pair of intermediary tickets. The higher the correlation, the greater the similarity between the two intermediary tickets. Therefore, a correlation threshold can be set, and intermediary tickets above this threshold are considered to have a stronger correlation.

[0075] Further, divide the task set:

[0076] Parallel configuration of task sets: Intermediate tickets with low correlation can be configured in parallel, that is, there is no obvious dependency between these intermediate tickets and they can be configured at the same time.

[0077] Linkage configuration task set: Intermediate tickets with high correlation need to be configured in a linked manner. That is, there is a dependency relationship between these intermediate tickets, and the order and mutual influence need to be considered during configuration.

[0078] After determining the linkage configuration task set, you need to further determine the parent ticket and child tickets. The intermediate ticket containing the core task items is considered the parent ticket and has a higher configuration priority. The intermediate ticket related to the parent ticket is considered the child ticket and has a lower configuration priority.

[0079] For example, there are three types of tickets: hot work intermediate ticket (A), blind plate extraction and plugging intermediate ticket (B), high-altitude work intermediate ticket (C), and temporary power work intermediate ticket (D);

[0080] 1. Extract task items:

[0081] A: Safety permits and approvals, work environment inspections, safety equipment and personal protective equipment, work tools and equipment, emergency plans

[0082] B: Safety permits and approvals, work environment inspections, safety equipment and personal protective equipment

[0083] C: Safety permits and approvals, work environment inspections, safety equipment and personal protective equipment, work tools and equipment;

[0084] D: [Safety permits and approvals, work environment inspections];

[0085] 2. Construct the correlation matrix, the list is as follows:

[0086] Table 1 Task item association matrix

[0087]

[0088] 3. Calculate the correlation:

[0089] Use the Jaccard similarity coefficient to calculate the correlation between two median tickets:

[0090] J(A,B)=3 / 5=0.6,

[0091] J(A,C)=4 / 5=0.8,

[0092] J(A,D)=2 / 5=0.4,

[0093] J(B,C)=3 / 4=0.75,

[0094] J(B,D)=2 / 3=0.67,

[0095] J(C,D)=2 / 4=0.5,

[0096] If the false correlation threshold is 0.7, the parallel configuration task set is determined to be D, and the linkage configuration task set is determined to be (A, B, C). In the linkage configuration task set, the parent ticket is the hot work intermediate ticket (A), and the child tickets are the blind plate extraction and plugging intermediate ticket (B) and the high-altitude work intermediate ticket (C).

[0097] S40. Execute personalized configuration operations. For parallel configuration task sets, configure the personalized task items of each special operation electronic ticket in parallel; for linkage configuration task sets, when configuring the personalized task items of the parent ticket, configure the personalized tasks of the child ticket in linkage according to the preset rules until all configuration task sets are completed, and generate several target special operation electronic tickets for approval.

[0098] When configuring in parallel:

[0099] Task Item Selection: Select the personalized task items you want to add based on the specific job requirements. For example, a temporary power supply job might require adding tasks such as "Cable Insulation Inspection" and "Leakage Protector Test."

[0100] Task item configuration: Add selected personalized task items to each intermediate ticket and set corresponding parameters, such as inspection frequency, responsible person, etc.

[0101] Parallel processing: Since there is no dependency between these intermediate tickets, they can be processed in parallel to improve configuration efficiency.

[0102] When configuring linkage:

[0103] First configure the mother ticket, and select the personalized task items that need to be added according to the specific needs of the hot work. For example, hot work may require the addition of task items such as "combustible gas monitoring around the hot work point" and "hot work monitoring". Then add the selected personalized task items to the mother ticket (A) and set the corresponding parameters (such as monitoring frequency, monitoring personnel, etc.). Furthermore, according to the preset rules, when the personalized task items of the mother ticket (A) are configured, the corresponding task items of the sub-tickets (B, C) are automatically configured. Finally, perform the task item synchronization operation to synchronize certain personalized task items in the mother ticket (A) to the sub-tickets (B, C). For example, if the hot work requires "combustible gas monitoring around the hot work point", the blind plate extraction and plugging operations and high-altitude operations also require corresponding gas monitoring task items.

[0104] Finally, when all configuration task sets are completed, several target special operation electronic tickets are generated for approval. Once approved, they can be saved and archived, and can be viewed electronically or printed out as a paper version for use.

[0105] In summary, the method provided by the embodiment of the present invention has at least the following beneficial effects:

[0106] 1) Establish a shared task library and standardized templates. By building a unified shared task library and customizable standard templates, this approach solves the problem of information silos and ensures information transparency and consistency. This not only improves operator efficiency but also facilitates global monitoring and decision-making for management.

[0107] 2) Leveraging historical data analysis for risk prediction. Through deep learning and analysis of historical data, we can more accurately predict potential risks during operations, enabling proactive preventative measures and effectively reducing the incidence of accidents. This data-driven risk management mechanism significantly improves operational safety.

[0108] 3) Support for personalized configuration of different types of operations ensures flexibility in the operational process while meeting the unique needs of specific operations, expanding the system's scope of application. By associating tasks with e-ticket types, batch operations can be performed. Furthermore, from the perspective of personalized e-ticket configuration, e-tickets for different special operations can be configured on demand. This greatly improves the efficiency of e-ticket configuration and the rationality of configuration content, thereby increasing the efficiency of special operation supervision.

[0109] 4) Optimize parallel and linkage configuration. By analyzing the comprehensive correlation of intermediate tickets, we rationally plan parallel configuration task sets and linkage configuration task sets, so that multiple jobs can be carried out simultaneously or linked on demand, greatly improving job efficiency, reducing waiting time and resource idleness, and achieving optimal resource utilization.

[0110] In one embodiment, the operation types of the special operation electronic ticket at least include hot work operation, blind plate removal and plugging operation risk, high-altitude operation and temporary power use operation.

[0111] Preferably, the risk prediction of each special operation based on the historical data of each special operation includes:

[0112] Performing risk prediction for hot work operation:

[0113]

[0114] In the formula, \(R_{hot}\) represents the risk value of hot work operation, \(C_{comb}\) represents the concentration of combustible gas, \(D_{fire}\) represents the distance from the ignition source, \(V_{vent}\) represents the ventilation condition, \(F_{eva}\) represents the effectiveness score of fire prevention measures; \(e\) represents the natural constant;

[0115] Performing risk prediction for blind plate removal and plugging operation: <000P0262>

[0117] In the formula, \(R_{blind}\) represents the risk value of blind plate removal and plugging operation, \(P_{pip}\) represents the pipeline pressure, \(D_{pip}\) represents the pipeline diameter, \(S_{eva}\) represents the proficiency score of the operator for blind plate removal and plugging operation, \(T_{eva}\) represents the toxicity score of the medium;

[0118] Performing risk prediction for high-altitude operation:

[0119]

[0120] In the formula, \(R_{high}\) represents the risk value of high-altitude operation, \(L_{high}\) represents the height of high-altitude operation, \(α\) represents an empirical parameter, with a value of \(1 < α < 3\), \(B_{pre}\) represents the effectiveness score of protection measures, \(W_{eva}\) represents the weather condition score, \(t\) represents the high-altitude operation time;

[0121] Performing risk prediction for temporary power use operation:

[0122]

[0123] In the formula, \(R_{temp}\) represents the risk value of temporary power use operation, \(I_{ele}\) represents the current intensity, \(I_{ins}\) represents the insulation performance score, \(β\) represents an empirical parameter, with a value range of \(0.1 < α < 1\), \(H_{hum}\) represents the environmental humidity score, \(A_{eva}\) represents the proficiency score of the operator for temporary power use operation.

[0124] In the above risk prediction process, the risk prediction formula for hot work operation comprehensively considers the concentration of combustible gas, the distance from the ignition source, the ventilation condition and the effectiveness of fire prevention measures, ensuring the comprehensiveness and accuracy of risk assessment. By using It can better reflect the nonlinear impact of distance and ventilation conditions on risk. Through the effectiveness score F of fire prevention measures, the risk value can be dynamically adjusted to ensure the real-time and effectiveness of the assessment results. The risk prediction formula for blind plate plugging operations comprehensively considers pipeline pressure, pipeline diameter, operator proficiency and medium toxicity to ensure the comprehensiveness and accuracy of risk assessment. Through the linear adjustment of the proficiency score S and the medium toxicity score T, the impact of these factors on risk can be more intuitively reflected. Similarly, the exponential function is also used in the risk prediction of high-altitude operations. To better reflect the nonlinear impact of protective measures on risks. The nonlinear effect of operation time on risk is more in line with the actual situation. Better reflect the nonlinear impact of insulation performance on risk. By combining the insulation performance score (I) and the operator proficiency score (A), the risk value can be dynamically adjusted to improve the flexibility and accuracy of the assessment.

[0125] Therefore, the aforementioned risk prediction formulas enable scientific and rational risk assessments for different types of special operations. These formulas comprehensively consider multiple influencing factors and quantify risk values ​​through mathematical models. This allows for early detection of potential risks, improves the rationality of task item configuration within special operation electronic tickets, and enhances both operational safety and efficiency.

[0126] In one embodiment, identifying all special tasks associated with each task item based on the prediction results includes:

[0127] According to the risk prediction value of each special operation, each special operation is divided into risk levels;

[0128] Based on any task item, the task item is divided into subtask operations, and each subtask corresponds to a risk level;

[0129] Determine whether the risk level of the current special task matches the subtask. If the match is successful, determine that the current task item is associated with the current special task. After all special tasks are matched, determine all special tasks associated with each task item.

[0130] In this embodiment, for each task item, it is subdivided into multiple subtasks, and an estimated risk level is assigned to each subtask. By comparing the risk level of the special operation with the risk level of the subtask, it is determined whether there is a matching relationship between them. If the match is successful, it is considered that the special operation is associated with one or more subtasks in the task item. Therefore, a database containing all special operations and their risk prediction values, as well as another database that records each task item, its subtasks and estimated risk level, can be created. Then a matching algorithm is developed or a matching mechanism is established to automatically compare the risk levels of the special operation and the subtask, and determine the matching relationship between them. In this way, the associated items can be determined quickly and accurately to ultimately determine the general task items, greatly improving the efficiency of the task item configuration work and improving resource utilization.

[0131] In one embodiment, in addition to the calculation method of the comprehensive correlation degree of the aforementioned correlation matrix, the judgment matrix and the grey correlation degree can also be combined to calculate the magnitude of the comprehensive correlation degree. Specifically, the analysis of the correlation relationship between different types of interim tickets to obtain the comprehensive correlation degree between any two interim tickets includes:

[0132] Obtaining evaluation indicators, including resource crossover, sequence logic, and risk crossover indicators between different special operations, as well as operation frequency and historical accident rate of each special operation;

[0133] A 5×5 judgment matrix was constructed based on the five evaluation indicators. The matrix elements were determined according to the relative importance of each pair of indicators and assigned values ​​using the 1-9 scaling method.

[0134] Normalize each column of the judgment matrix and calculate the average value of each row of the normalized matrix as the weight vector of the evaluation index;

[0135] The historical data of each special operation is standardized, and the grey correlation degree of each special operation under each evaluation index is calculated based on the standardized data. The weight vector of each evaluation index is multiplied by the grey correlation degree, and the comprehensive correlation degree is obtained by weighted summation.

[0136] Preferably, the grey relational degree of each special task under each evaluation indicator is calculated based on the standardized data, including:

[0137]

[0138] Δ ik =|x ik -y k |

[0139] Where, γ i represents the grey relational degree of the i-th special task under the k-th evaluation index, Δ ikrepresents the deviation of the i-th special task under the k-th evaluation index, x ik is the standardized historical data of special operation i, y k is the reference sequence, and ρ is the resolution coefficient, which ranges from 0 to 1.

[0140] To help understanding, the following is explained in conjunction with specific implementation methods:

[0141] 1) Obtain evaluation indicators:

[0142] Resource Interleaving: A measure of the degree to which resources are shared between two specific activities.

[0143] Sequential logic: examines whether there is a relationship between two special tasks that must be completed one after the other.

[0144] Risk Interaction: Assess whether the risk factors between two special operations affect each other.

[0145] Operation frequency: Count the number of times each special operation occurs within a certain period of time.

[0146] Historical accident rate: Analyze the probability of accidents occurring in each special operation over a period of time in the past.

[0147] 2) Construct a 5×5 judgment matrix:

[0148] Use a 1-9 scale to score the relative importance of the five evaluation indicators and construct a 5×5 judgment matrix. For example, if you believe that "resource overlap" is more important than "operation frequency," you can assign a higher value, such as 7.

[0149] 3) Calculate the weight vector:

[0150] Normalize each column of the judgment matrix by dividing each element in the column by the sum of all elements in the column. Calculate the average value of each row of the normalized matrix to obtain the weight vector for each evaluation indicator.

[0151] 4) Standardized historical data:

[0152] The historical data of each special operation (such as operation frequency, historical accident rate, etc.) are standardized so that they are within the same scale range. Z-score standardization or Min-Max standardization is usually used.

[0153] 5) Calculate the comprehensive correlation:

[0154] The grey correlation degree is calculated using the above formula, where ρ is the discrimination coefficient, which can usually be taken as 0.5. The weight vector of each evaluation index is then multiplied by the grey correlation degree under the corresponding evaluation index, and the results of all evaluation indicators are weighted and summed to obtain the final comprehensive correlation degree.

[0155] Therefore, this embodiment uses quantitative methods to more accurately assess the degree of correlation between different special operations, providing a reliable basis for decision-making. This clear correlation assessment helps optimize resource allocation, rationalize the sequencing of operations, avoid unnecessary conflicts, and improve project management efficiency. Furthermore, through in-depth analysis of cross-risks, potential safety hazards can be promptly identified, preventative measures can be taken, and the probability of accidents can be reduced. Analysis based on historical data allows for continuous optimization of the evaluation system, improving risk management capabilities, and adapting to the ever-changing work environment.

[0156] See also Figure 2 An embodiment of the present invention further provides a configurable management system for special operation electronic tickets based on digital analysis, the system comprising:

[0157] The task library construction unit 100 is used to establish a shared task library and standard templates for various special operation electronic tickets. The shared task library contains a list of task items to be executed. The standard template can be customized to configure one or more task items.

[0158] The general configuration unit 200 is used to perform general configuration operations. It predicts the risk of each special operation according to the priority order of the task item list and the historical data of each special operation, and determines the general task items based on the prediction results. The different general task items are sequentially added to all associated special operation electronic tickets in batches, resulting in a number of special operation electronic tickets of different types, which are marked as intermediate tickets.

[0159] The association analysis unit 300 is used to analyze the associations between different types of intermediary tickets, obtain the comprehensive association between each pair of intermediary tickets, determine the parallel configuration task set and the linkage configuration task set based on the comprehensive association, and determine the parent ticket and child ticket in the linkage configuration task set, where the configuration priority of the parent ticket is higher than the configuration priority of the child ticket;

[0160] The personalized configuration unit 400 is used to perform personalized configuration operations. For the parallel configuration task set, the personalized task items of each special operation electronic ticket are configured in parallel; for the linkage configuration task set, when the personalized task items of the parent ticket are configured, the personalized tasks of the child ticket are linked and configured according to the preset rules until all the configuration task sets are completed, and several target special operation electronic tickets for approval are generated.

[0161] It can be understood that the functions or modules included in the system provided in this embodiment can be used to execute the method described in the above method embodiment. Its specific implementation can refer to the description of the above method embodiment. For the sake of brevity, it will not be repeated here.

[0162] The present invention also provides an electronic device, including a processor and a memory, wherein the memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes a method as described in any one of the possible implementation modes.

[0163] The present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes a method as described in any one of the possible implementation methods described above.

[0164] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0165] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here. Those skilled in the art will also clearly understand that the descriptions of the various embodiments of the present invention have different focuses. For the convenience and brevity of description, the same or similar parts may not be repeated in different embodiments. Therefore, for parts not described or not described in detail in one embodiment, reference can be made to the descriptions of other embodiments.

Claims

1. A configurable management method for electronic tickets for special operations based on digital analysis, characterized in that: The method includes: Establish a shared task library and standard templates for various special operation e-tickets. The shared task library contains a list of task items to be executed, and the standard templates can be customized to configure one or more task items; Perform general configuration operations. According to the priority order of the task item list, conduct risk prediction for each special operation based on the historical data of each special operation, and determine general task items according to the prediction results; sequentially add different general task items to all associated special operation e-tickets in batches to obtain several special operation e-tickets of different types, which are marked as intermediate tickets; Analyze the association relationships of intermediate tickets of different types to obtain the comprehensive association degree between two intermediate tickets. Determine the parallel configuration task set and the linkage configuration task set according to the size of the comprehensive association degree, and determine the master ticket and the sub-ticket in the linkage configuration task set, where the configuration priority of the master ticket is higher than that of the sub-ticket; Perform personalized configuration operations. For the parallel configuration task set, configure the personalized task items of each special operation e-ticket in parallel; for the linkage configuration task set, when configuring the personalized task items of the master ticket, configure the personalized tasks of the sub-ticket in linkage according to preset rules until several target special operation e-tickets to be approved are generated when all configuration task sets are completed.

2. The configurable management method of special operation electronic tickets based on digital analysis according to claim 1 is characterized in that: The operation types of the special operation e-tickets at least include hot work, blind plate removal and installation operation risks, high-altitude operation, and temporary electricity use operation.

3. The configurable management method of special operation electronic tickets based on digital analysis according to claim 2 is characterized in that: The risk prediction for each special operation based on the historical data of each special operation includes: Conduct risk prediction for hot work: In the formula, R_hot represents the risk value of hot work, C_combustible represents the concentration of combustible gas, D_fire represents the distance from the ignition source, V_ventilation represents the ventilation condition, F_assessment represents the effectiveness score of fire prevention measures; e represents the natural constant; Conduct risk prediction for blind plate removal and installation operation: In the formula, R_blindplate represents the risk value of blind plate removal and installation operation, P_pipe represents the pipeline pressure, D_pipe represents the pipeline diameter, S_assessment represents the proficiency score of the operator for blind plate removal and installation operation, T_assessment represents the medium toxicity score; Conduct risk prediction for high-altitude operation: In the formula, R_highaltitude represents the risk value of high-altitude operation, L_high represents the high-altitude operation height, α represents an empirical parameter, with a value range of 1 < α < 3, B_prevention represents the effectiveness score of protection measures, W_assessment represents the weather condition score, t represents the high-altitude operation time; Conduct risk prediction for temporary electricity use operation: In the formula, R_temporary represents the risk value of temporary electricity use operation, I_electricity represents the current intensity, I_insulation represents the insulation performance score, β represents an empirical parameter, with a value range of 0.1 < α < 1, H_humidity represents the environmental humidity score, A_assessment represents the proficiency score of the operator for temporary electricity use operation.

4. The configurable management method of special operation electronic tickets based on digital analysis according to claim 3 is characterized in that: The identification of all special operations associated with each task item according to the prediction results includes: Classify the risk levels of each special operation according to the risk prediction values of each special operation; Based on any task item, divide the task item into subtask operations, and each subtask corresponds to a risk level; Determine whether the risk level of the current special job matches the subtask. If the match is successful, determine that the current task item is associated with the current special job. After all special jobs are matched, determine all special jobs associated with each task item.

5. The configurable management method of special operation electronic tickets based on digital analysis according to claim 1 is characterized in that: The analysis of the correlation between different types of intermediate bills to obtain the comprehensive correlation between any two intermediate bills includes: Obtaining evaluation indicators, including resource crossover, sequence logic and risk crossover indicators between different special operations, and operation frequency and historical accident rate of each special operation; A 5×5 judgment matrix was constructed based on the five evaluation indicators. The matrix elements were determined according to the relative importance of each pair of indicators and assigned values ​​using the 1-9 scaling method. Normalize each column of the judgment matrix, and calculate the average value of each row of the normalized matrix as the weight vector of the evaluation index; The historical data of each special operation is standardized, and the grey correlation degree of each special operation under each evaluation index is calculated based on the standardized data. The weight vector of each evaluation index is multiplied by the grey correlation degree, and the comprehensive correlation degree is obtained by weighted summation.

6. The configurable management method of special operation electronic tickets based on digital analysis according to claim 5 is characterized in that: The grey correlation degree of each special operation under each evaluation index is calculated based on the standardized data, including: Δ ik =|x ik -and k | In the formula, γ i represents the grey relational degree of the i-th special task under the k-th evaluation index, Δ ik represents the deviation of the i-th special task under the k-th evaluation index, x ik is the standardized historical data of special operation i, y k is the reference sequence, and ρ is the resolution coefficient, which ranges from 0 to 1.

7. A configurable management system for electronic tickets for special operations based on digital analysis, characterized in that: The system comprises: A task library construction unit is used to establish a shared task library and standard templates for various special operation electronic tickets. The shared task library contains a list of task items to be executed, and the standard template can be customized to configure one or more task items; The general configuration unit is used to perform general configuration operations, perform risk prediction for each special operation according to the priority order of the task item list and the historical data of each special operation, and determine the general task item according to the prediction result; add different general task items to all the associated special operation electronic tickets in batches in sequence, and obtain several special operation electronic tickets of different types, which are marked as intermediate tickets; The correlation analysis unit is used to analyze the correlation relationship between different types of intermediate tickets, obtain the comprehensive correlation between two intermediate tickets, determine the parallel configuration task set and the linkage configuration task set according to the size of the comprehensive correlation, and determine the parent ticket and the child ticket in the linkage configuration task set, wherein the configuration priority of the parent ticket is greater than the configuration priority of the child ticket; The personalized configuration unit is used to perform personalized configuration operations. For parallel configuration task sets, the personalized task items of each special operation electronic ticket are configured in parallel; for linkage configuration task sets, when configuring the personalized task items of the parent ticket, the personalized tasks of the child tickets are configured in a linkage manner according to the preset rules until all configuration task sets are completed, and several target special operation electronic tickets for approval are generated.

8. An electronic device, characterized in that: It includes a processor and a memory, the memory is used to store computer program code, the computer program code includes computer instructions, when the processor executes the computer instructions, the electronic device executes the configurable management method of special job electronic tickets based on digital analysis as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes the configurable management method for special job electronic tickets based on digital analysis as described in any one of claims 1 to 6.

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