An intelligent fusion terminal event hierarchical processing method, device, equipment and medium

Abstract

The present application relates to the technical field of electric power data processing, and particularly relates to a smart fusion terminal event hierarchical processing method and device, equipment and medium, the method comprising: combining terminal service state information, performing prediction on the occupation change of the terminal service running state after each candidate processing mode, obtaining processing impact result information corresponding to each candidate processing mode, performing constraint screening on each candidate processing mode according to event response constraint information, obtaining an executable processing mode set, using the processing impact result information to perform impact adaptation sorting on each executable processing mode in the executable processing mode set, and determining a target processing mode according to the impact adaptation sorting result, and performing hierarchical processing on the electric meter event information based on the target processing mode. The present application solves the problem that the existing smart fusion terminal is insufficient in processing mode adaptability when performing event processing, and it is difficult to balance the event processing demand and the terminal running state.

Description

Technical Field

[0001] This invention relates to the technical field of power data processing, and in particular to a method, apparatus, equipment, and medium for hierarchical processing of events in an intelligent fusion terminal. Background Technology

[0002] Smart converged terminals are typically used to receive and process various event information reported by electricity meters, such as abnormal events, alarm events, and communication events. As the types of services in distribution areas increase, smart converged terminals need to simultaneously handle multiple tasks, including data acquisition, event reporting, master station communication, and task scheduling, leading to a continuous increase in the quantity and types of electricity meter event information.

[0003] In existing technologies, after receiving meter event information, smart converged terminals typically process it according to preset event levels or fixed rules, such as direct reporting, caching, alarming, or forwarding. While this method can achieve basic event classification processing, it mainly relies on the category of the event itself for judgment, making it difficult to dynamically adjust based on the actual response requirements of the event and the current business operation status of the terminal.

[0004] When the smart converged terminal is experiencing high current service usage or busy link interactions, processing meter event information in a fixed manner may lead to untimely responses to critical events or excessive terminal resource consumption during processing, affecting the operation of other normal services. Therefore, existing event handling methods suffer from fixed processing rules, lack of consideration for terminal service status, and difficulty in balancing timely event response with terminal operational stability. Summary of the Invention

[0005] To address the problem that existing intelligent converged terminals lack adaptability in their event processing methods and struggle to balance event processing needs with terminal operating status, this invention provides a method, apparatus, device, and medium for hierarchical event processing in intelligent converged terminals.

[0006] The above-mentioned objective of this invention is achieved through the following technical solution:

[0007] A method for hierarchical event processing in a smart converged terminal, the method comprising:

[0008] Acquire meter event information received by the smart converged terminal;

[0009] The meter event information is matched with rules according to the event classification rule base to obtain the initial event level information corresponding to the meter event information.

[0010] Based on the meter event information and the initial event level information, determine the event response constraint information corresponding to the meter event information;

[0011] Based on the initial event level information and the event response constraint information, multiple candidate processing methods corresponding to the meter event information are determined;

[0012] Obtain the terminal service status information corresponding to the intelligent converged terminal;

[0013] Based on the terminal service status information, the changes in the occupancy of the terminal service operation status after each of the candidate processing methods is executed are predicted to obtain the processing impact result information corresponding to each of the candidate processing methods.

[0014] Based on the event response constraint information, each candidate processing method is constrained and filtered to obtain a set of executable processing methods;

[0015] Using the impact result information, the executable processing methods in the set of executable processing methods are sorted by impact adaptation, and the target processing method is determined based on the impact adaptation sorting result.

[0016] Based on the target processing method, the meter event information is processed in a hierarchical manner.

[0017] By adopting the above technical solution, after receiving meter event information, the smart converged terminal does not directly report or store it according to a fixed level. Instead, it first obtains initial event level information through an event classification rule base, and then determines event response constraint information by combining the meter event information and the initial event level information. This allows the processing requirements corresponding to the meter event information to be clearly defined first. Then, multiple candidate processing methods are determined, and the changes in the terminal's business operation status after the execution of each candidate processing method are predicted by combining the terminal's business status information. This yields processing impact result information, so that the selection of candidate processing methods no longer depends solely on the event level, but also considers the impact on the terminal's current business operation. Based on this, an executable processing method set is selected according to the event response constraint information, and then the impact adaptation ranking is performed using the processing impact result information to determine the target processing method. This allows the selection of a processing method that is more suitable for the smart converged terminal's business operation while meeting the event response requirements. This reduces the occupation of core business and link interaction by ordinary event processing, reduces the business impact caused by centralized event processing, and improves the accuracy, flexibility, and terminal operation stability of meter event hierarchical processing.

[0018] Preferably, determining the event response constraint information corresponding to the meter event information based on the meter event information and the initial event level information includes:

[0019] Extract event trigger feature information and event occurrence feature information from the meter event information;

[0020] Based on the initial event level information, determine the basic response constraint information corresponding to the meter event information;

[0021] Response urgency analysis is performed on the event triggering feature information and the event occurrence feature information to obtain event urgency information;

[0022] Based on the event urgency information, the basic response constraint information is adjusted to obtain the adjusted basic response constraint information;

[0023] The adjusted basic response constraint information is transformed by response boundary transformation to obtain the event response constraint information corresponding to the meter event information.

[0024] By adopting the above technical solution, and extracting event triggering feature information and event occurrence feature information from the meter event information, it is possible to simultaneously identify the state when the event is triggered and the changes during the event occurrence process. By determining the basic response constraint information through the initial event level information, the event response requirements can have an initial level basis. By obtaining the event urgency information through response urgency analysis, it is possible to further determine whether the event needs to raise the response requirements. By adjusting the basic response constraint information through the event urgency information and performing response boundary transformation, the event response constraint information can reflect both the initial level and the actual urgency of the event, thereby improving the accuracy of the event response constraint information and the reliability of the subsequent processing method selection.

[0025] Preferably, determining multiple candidate processing methods corresponding to the meter event information based on the initial event level information and the event response constraint information includes:

[0026] Based on the initial event level information, determine the set of basic processing methods corresponding to the meter event information;

[0027] Response boundary information is extracted from the event response constraint information. Based on the response boundary information, the reachability of each basic processing method in the set of basic processing methods is determined, and the reachability determination result corresponding to each basic processing method is obtained.

[0028] Based on the reachability judgment result, the basic processing method set is expanded or eliminated to obtain a candidate processing method set;

[0029] Each candidate processing method in the set of candidate processing methods is determined as one of the multiple candidate processing methods corresponding to the meter event information.

[0030] By adopting the above technical solution, a set of basic processing methods is determined based on initial event level information. This allows for the formation of a basic processing range that matches the event level. By extracting response boundary information from event response constraint information and performing reachability judgment on each basic processing method in the set, it is possible to determine whether each basic processing method meets the event response requirements. Based on the reachability judgment results, the set of basic processing methods can be expanded or eliminated. This eliminates processing methods that are not suitable for the current event response requirements and supplements processing methods that meet the response boundaries. As a result, multiple candidate processing methods have both a level basis and can adapt to event response constraints, improving the rationality of candidate processing method determination.

[0031] Preferably, obtaining the terminal service status information corresponding to the intelligent converged terminal includes:

[0032] Obtain the business execution queue information of the intelligent fusion terminal within the current business cycle;

[0033] Obtain the link interaction status information between the intelligent fusion terminal and the main station;

[0034] Based on the service execution queue information, determine the service occupancy benchmark information corresponding to the intelligent converged terminal;

[0035] Based on the link interaction status information, determine the link occupancy reference information corresponding to the intelligent fusion terminal;

[0036] The service occupancy baseline information and the link occupancy baseline information are fused to obtain the terminal service status information corresponding to the intelligent fusion terminal.

[0037] By adopting the above technical solution, the current service execution occupancy status can be grasped by obtaining the service execution queue information of the intelligent converged terminal within the current service cycle, and the current link interaction occupancy status can be grasped by obtaining the link interaction status information between the intelligent converged terminal and the main station. Service occupancy benchmark information is determined by the service execution queue information, and link occupancy benchmark information is determined by the link interaction status information. State basis can be formed from both service execution and link interaction aspects. By fusing the service occupancy benchmark information and the link occupancy benchmark information, terminal service status information that simultaneously reflects service occupancy and link occupancy can be obtained, thereby providing an accurate basis for subsequent prediction of changes in the occupancy status of terminal service operation by candidate processing methods.

[0038] Preferably, the step of combining the terminal service status information to predict the occupancy changes in the terminal service operation status after each of the candidate processing methods is executed, and obtaining the processing impact result information corresponding to each of the candidate processing methods, includes:

[0039] Based on the terminal service status information, construct the current occupancy benchmark information corresponding to the intelligent converged terminal;

[0040] The processing occupancy attribute is parsed for each of the candidate processing methods to obtain the processing occupancy attribute information corresponding to each of the candidate processing methods.

[0041] The processing occupancy attribute information is superimposed onto the current occupancy baseline information to obtain the occupancy superposition result information corresponding to each of the candidate processing methods;

[0042] A difference analysis is performed between the occupancy overlay result information and the current occupancy baseline information to obtain occupancy change prediction information corresponding to each of the candidate processing methods;

[0043] Based on the occupancy change prediction information, the processing impact result information corresponding to each of the candidate processing methods is obtained.

[0044] By adopting the above technical solution, the current occupancy benchmark information can be constructed through the terminal service status information. This clarifies the occupancy basis of the intelligent fusion terminal before executing candidate processing methods. By analyzing the processing occupancy attributes of each candidate processing method, the occupancy content that may be generated when each candidate processing method is executed can be identified. By superimposing the processing occupancy attribute information onto the current occupancy benchmark information, the occupancy status after the execution of each candidate processing method can be simulated. By performing difference analysis between the occupancy superposition result information and the current occupancy benchmark information, the occupancy change prediction information corresponding to each candidate processing method can be obtained, and further, the processing impact result information can be obtained. This allows the selection of the subsequent target processing method to be based on the actual occupancy change prediction, reducing the uncertain impact of candidate processing methods on the terminal service operation status.

[0045] Preferably, the step of performing constraint filtering on each candidate processing method according to the event response constraint information to obtain a set of executable processing methods includes:

[0046] The processing attribute information corresponding to each of the candidate processing methods is obtained by parsing the processing attributes of each candidate processing method.

[0047] The processing attribute information is matched with the event response constraint information to obtain the constraint matching result corresponding to each candidate processing method.

[0048] Based on the constraint matching results, the response compliance determination is performed on each of the candidate processing methods to obtain the response compliance results corresponding to each of the candidate processing methods.

[0049] Based on the response compliance results, candidate processing methods that meet the event response constraint information are selected from each of the candidate processing methods to obtain an initial set of executable processing methods.

[0050] Based on the processing attribute information corresponding to each candidate processing method in the initial executable processing method set, a mutual exclusion check is performed on the initial executable processing method set to eliminate candidate processing methods with processing conflicts, thereby obtaining the executable processing method set.

[0051] By adopting the above technical solution, and by analyzing the processing attributes of each candidate processing method, the processing characteristics of each candidate processing method can be clearly identified. By matching the processing attribute information with the event response constraint information, it can be determined whether each candidate processing method meets the event response requirements. By judging the response compliance based on the constraint matching results, it is possible to distinguish between candidate processing methods that meet the response criteria and those that do not. By filtering the response compliance results, an initial set of executable processing methods can be obtained, and candidate processing methods that do not meet the event response constraint information can be eliminated. By further eliminating candidate processing methods with processing conflicts through processing mutual exclusion checks, it is possible to avoid the existence of mutually exclusive processing paths in the set of executable processing methods, thereby improving the availability and execution stability of the set of executable processing methods.

[0052] Preferably, the step of using the processing impact result information to sort the executable processing methods in the executable processing method set according to impact adaptation, and determining the target processing method based on the impact adaptation sorting result, includes:

[0053] Extract the occupancy change prediction information corresponding to each of the executable processing methods from the processed impact result information;

[0054] Based on the event response constraint information, the occupancy change prediction information is subjected to response boundary verification to obtain the boundary verification results corresponding to each of the executable processing methods.

[0055] Based on the boundary verification results, executable processing methods that meet the response boundary requirements are selected from the set of executable processing methods to obtain a set of boundary compliance processing methods.

[0056] Based on the terminal service status information, the impact absorption analysis is performed on the occupancy change prediction information corresponding to each executable processing method in the set of boundary compliance processing methods to obtain the impact absorption result information corresponding to each executable processing method.

[0057] Based on the impact absorption result information, the executable processing methods in the set of boundary compliance processing methods are sorted according to impact adaptation to obtain the impact adaptation sorting result.

[0058] Based on the impact adaptation sorting results, the target processing method is determined from the set of boundary compliance processing methods.

[0059] By adopting the above technical solution, and extracting the occupancy change prediction information corresponding to each executable processing method from the impact result information, it is possible to clarify the occupancy changes that each executable processing method may cause to the terminal business operation status. By verifying the response boundary of the occupancy change prediction information through event response constraint information, executable processing methods that meet the response boundary requirements can be screened out. By combining the impact absorption analysis with the terminal business status information, it is possible to determine whether the current business operation status of the intelligent fusion terminal can bear the occupancy changes caused by each executable processing method. Impact adaptation ranking is performed through impact absorption result information, and the target processing method is determined based on the impact adaptation ranking result. On the basis of meeting the event response requirements, the processing method that is more suitable for the current terminal business status can be selected first, thereby reducing the impact of event processing on business execution and link interaction, and improving the adaptability and stability of hierarchical processing.

[0060] The second objective of this invention is achieved through the following technical solution:

[0061] A smart converged terminal event hierarchical processing device, the smart converged terminal event hierarchical processing device comprising:

[0062] The event information acquisition module is used to acquire meter event information received by the smart converged terminal;

[0063] The initial level matching module is used to perform rule matching on the meter event information according to the event classification rule base to obtain the initial event level information corresponding to the meter event information.

[0064] The response constraint determination module is used to determine the event response constraint information corresponding to the meter event information based on the meter event information and the initial event level information;

[0065] The candidate method determination module is used to determine multiple candidate processing methods corresponding to the meter event information based on the initial event level information and the event response constraint information.

[0066] The service status acquisition module is used to acquire the terminal service status information corresponding to the intelligent converged terminal;

[0067] The impact prediction module is used to combine the terminal service status information to predict the occupancy changes that the terminal service operation status will be affected by the execution of each of the candidate processing methods, and to obtain the processing impact result information corresponding to each of the candidate processing methods.

[0068] The executable method filtering module is used to perform constraint filtering on each of the candidate processing methods according to the event response constraint information to obtain a set of executable processing methods;

[0069] The target method determination module is used to sort the executable processing methods in the set of executable processing methods by impact adaptation using the impact result information, and determine the target processing method based on the impact adaptation sorting result.

[0070] The event classification processing module is used to perform classification processing on the meter event information based on the target processing method.

[0071] By adopting the above technical solution, after receiving meter event information, the smart converged terminal does not directly report or store it according to a fixed level. Instead, it first obtains initial event level information through an event classification rule base, and then determines event response constraint information by combining the meter event information and the initial event level information. This allows the processing requirements corresponding to the meter event information to be clearly defined first. Then, multiple candidate processing methods are determined, and the changes in the terminal's business operation status after the execution of each candidate processing method are predicted by combining the terminal's business status information. This yields processing impact result information, so that the selection of candidate processing methods no longer depends solely on the event level, but also considers the impact on the terminal's current business operation. Based on this, an executable processing method set is selected according to the event response constraint information, and then the impact adaptation ranking is performed using the processing impact result information to determine the target processing method. This allows the selection of a processing method that is more suitable for the smart converged terminal's business operation while meeting the event response requirements. This reduces the occupation of core business and link interaction by ordinary event processing, reduces the business impact caused by centralized event processing, and improves the accuracy, flexibility, and terminal operation stability of meter event hierarchical processing.

[0072] The above-mentioned objective three of the present invention is achieved through the following technical solution:

[0073] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described intelligent fusion terminal event hierarchical processing method.

[0074] The above-mentioned objective four of the present invention is achieved through the following technical solution:

[0075] A computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described intelligent fusion terminal event hierarchical processing method.

[0076] In summary, the present invention has at least one of the following beneficial technical effects:

[0077] Upon receiving meter event information, the smart converged terminal does not directly report or store it according to a fixed level. Instead, it first obtains initial event level information through an event classification rule base. Then, it combines the meter event information and the initial event level information to determine event response constraints, thus clarifying the processing requirements corresponding to the meter event information. Next, it identifies multiple candidate processing methods and predicts the impact on the terminal's operational status after executing each candidate processing method, based on the terminal's business status information. This yields processing impact result information, allowing the selection of candidate processing methods to consider not only the event level but also the impact on the terminal's current business operation. Based on this, it filters out a set of executable processing methods according to the event response constraints. Then, it uses the processing impact result information to perform impact adaptation ranking and determine the target processing method. This allows it to select a processing method that is more suitable for the smart converged terminal's business operation while meeting event response requirements. This reduces the burden of ordinary event processing on core business and link interactions, lowers the business impact caused by centralized event processing, and improves the accuracy, flexibility, and terminal operational stability of meter event tiered processing. Attached Figure Description

[0078] Figure 1 This is a flowchart of a method for hierarchical processing of events in an intelligent fusion terminal according to an embodiment of the present invention.

[0079] Figure 2 This is a principle block diagram of an intelligent fusion terminal event hierarchical processing device according to an embodiment of the present invention. Detailed Implementation

[0080] The present invention will be further described in detail below with reference to the accompanying drawings.

[0081] In one embodiment, such as Figure 1 As shown, this invention discloses a method for hierarchical event processing in intelligent fusion terminals, specifically including the following steps:

[0082] S10: Obtain meter event information received by the smart converged terminal.

[0083] In this embodiment, the smart converged terminal refers to a terminal device installed on the power user side or in the distribution radio area, used to interact with the electricity meter and communicate with the master station. The electricity meter event information refers to the event data generated and uploaded to the smart converged terminal by the electricity meter during operation due to changes in status, abnormal parameters, or self-test results. The electricity meter event information is used to characterize the specific event content that occurs on the electricity meter side.

[0084] Specifically, when acquiring meter event information received by the smart fusion terminal, the smart fusion terminal monitors the communication channel between itself and the meter. After the meter generates event reporting data, it receives the event data frame uploaded by the meter, performs frame format recognition and field reading on the event data frame, extracts the data fields used to describe the event content from the event data frame, and obtains the meter event information. The meter event information can at least reflect the event content that occurred on the meter, so that subsequent level identification and classification processing can be carried out based on the meter event information.

[0085] S20: Match the meter event information with rules based on the event classification rule base to obtain the initial event level information corresponding to the meter event information.

[0086] In this embodiment, the event classification rule base refers to the set of rules pre-configured in the smart fusion terminal, used to record the correspondence between event identification rules and event levels. The event identification rules are used to match and judge the meter event information. The initial event level information refers to the preliminary level result obtained after the meter event information completes the rule matching. The initial event level information is used to characterize the basic level of the meter event information before combining subsequent constraints and terminal business status.

[0087] Specifically, when performing rule matching on meter event information according to the event classification rule base to obtain the initial event level information corresponding to the meter event information, the fields of the meter event information are first read, and the fields used to describe the event content are identified. The field content is then compared item by item with the event identification rules in the event classification rule base to determine whether the field content meets the matching conditions corresponding to the event identification rule. If the field content meets the matching conditions corresponding to any event identification rule, the event level corresponding to the event identification rule is read, and the read event level is used as the initial event level information corresponding to the meter event information. If the field content meets the matching conditions corresponding to multiple event identification rules, the multiple event identification rules are sorted according to the rule priority order preset in the event classification rule base, and the event level corresponding to the event identification rule with the highest ranking is selected as the initial event level information corresponding to the meter event information. If the field content does not meet the matching conditions corresponding to any event identification rule, the meter event information is marked as event information to be confirmed, and the initial event level information corresponding to the event information to be confirmed is generated according to the default event level preset in the event classification rule base.

[0088] S30: Based on the meter event information and the initial event level information, determine the event response constraint information corresponding to the meter event information.

[0089] In this embodiment, event response constraint information refers to constraint data used to limit the subsequent processing requirements of meter event information. Event response constraint information is used at least to characterize the requirements of meter event information in terms of processing time limit, processing intensity, and processing method boundary. Here, processing time limit refers to the time range within which meter event information is allowed to be processed, processing intensity refers to the degree of processing action corresponding to meter event information, and processing method boundary refers to the range of processing methods that meter event information can adopt.

[0090] Specifically, when determining the event response constraint information corresponding to the meter event information based on the meter event information and the initial event level information, the meter event information is first read by extracting the fields describing the event triggering state and the fields describing the event occurrence state. Then, based on the initial event level information, the basic response constraint information corresponding to the initial event level information is read. The basic response constraint information represents the processing requirements corresponding to the initial event level information under the default conditions. Then, the fields describing the event triggering state and the fields describing the event occurrence state are compared with the basic response constraint information to determine whether the actual occurrence of the meter event information requires adjustment of the default processing requirements. If the default processing requirements need to be adjusted, the processing time limit, processing intensity, and processing method boundary in the basic response constraint information are adjusted to obtain the adjusted basic response constraint information. If the default processing requirements do not need to be adjusted, the basic response constraint information remains unchanged. Finally, the adjusted basic response constraint information or the unchanged basic response constraint information is converted into a constraint expression that can be used for candidate processing method screening to obtain the event response constraint information corresponding to the meter event information.

[0091] S40: Based on the initial event level information and event response constraint information, determine multiple candidate processing methods corresponding to the meter event information.

[0092] In this embodiment, the candidate processing method refers to the selectable processing actions that are predetermined for the meter event information based on the initial event level information and event response constraint information. The candidate processing method is used to represent the processing path that the meter event information can be used before subsequent hierarchical processing.

[0093] Specifically, when determining multiple candidate processing methods corresponding to the meter event information based on the initial event level information and event response constraint information, the basic processing method set corresponding to the initial event level information is first read. The basic processing method set refers to the set of processing actions pre-associated with the initial event level information. Then, the processing time limit, processing intensity, and processing method boundary are read from the event response constraint information. Each basic processing method in the basic processing method set is compared with the processing time limit, processing intensity, and processing method boundary to determine whether each basic processing method meets the basic processing requirements corresponding to the event response constraint information. If any basic processing method meets the basic processing requirements, it is retained. If any basic processing method does not meet the basic processing requirements, it is eliminated. If the number of basic processing methods retained in the basic processing method set is insufficient to form multiple selectable processing paths, basic processing methods corresponding to adjacent levels of the initial event level information are supplemented according to the processing method boundary to obtain multiple candidate processing methods corresponding to the meter event information.

[0094] S50: Obtain the terminal service status information corresponding to the intelligent converged terminal.

[0095] In this embodiment, terminal service status information refers to information used to characterize the service execution occupancy status and link interaction occupancy status of the intelligent fusion terminal in the current service cycle. Service execution occupancy status refers to the occupancy situation formed when the intelligent fusion terminal executes an existing service, and link interaction occupancy status refers to the occupancy situation formed when the intelligent fusion terminal interacts with the master station. The current service cycle refers to the time range within which the intelligent fusion terminal statistically analyzes the service execution status in the current stage.

[0096] Specifically, when obtaining the terminal service status information corresponding to the intelligent converged terminal, the process first reads the service execution queue information of the intelligent converged terminal within the current service cycle. The service execution queue information includes services that are queued for execution, services that are being executed, and services that have been completed but still occupy record resources within the current service cycle. Then, the link interaction status information between the intelligent converged terminal and the main station is read. The link interaction status information includes the link connection status, link interaction frequency, and link interaction duration within the current service cycle. Then, according to the execution position, execution duration, and record occupancy of the service in the queue, the service execution queue information is quantified to obtain service occupancy benchmark information. Then, according to the link connection status, link interaction frequency, and link interaction duration, the link interaction status information is quantified to obtain link occupancy benchmark information. Finally, the service occupancy benchmark information and the link occupancy benchmark information are fused to obtain the terminal service status information corresponding to the intelligent converged terminal.

[0097] S60: Based on the terminal service status information, predict the changes in the terminal service operation status caused by the execution of each candidate processing method, and obtain the processing impact result information corresponding to each candidate processing method.

[0098] In this embodiment, the terminal service operation status refers to the operation status formed by the intelligent fusion terminal during service execution and link interaction. The occupancy change refers to the change in the occupancy status relative to the current occupancy status represented by the terminal service status information after each candidate processing method is executed. The processing impact result information refers to the result information used to characterize the degree of impact of each candidate processing method on the terminal service operation status.

[0099] Specifically, by combining terminal service status information, the changes in occupancy caused by the execution of each candidate processing method on the terminal service operation status are predicted. When obtaining the processing impact result information corresponding to each candidate processing method, the current occupancy benchmark information corresponding to the intelligent converged terminal is first constructed based on the terminal service status information. The current occupancy benchmark information is used to represent the occupancy status of the intelligent converged terminal when each candidate processing method is not executed. Then, the processing occupancy attribute is parsed for each candidate processing method to obtain the processing occupancy attribute information corresponding to each candidate processing method. The processing occupancy attribute information is used to represent the service resources and link resources required when the corresponding candidate processing method is executed. Then, the processing occupancy attribute information corresponding to each candidate processing method is superimposed on the current occupancy benchmark information to obtain the occupancy superposition result information corresponding to each candidate processing method. Then, the difference between the occupancy superposition result information corresponding to each candidate processing method and the current occupancy benchmark information is compared to determine the occupancy increment and occupancy change position caused by the execution of each candidate processing method, and the occupancy change prediction information corresponding to each candidate processing method is obtained. Finally, based on the occupancy change prediction information corresponding to each candidate processing method, the processing impact result information corresponding to each candidate processing method is generated.

[0100] S70: Based on the event response constraint information, perform constraint filtering on each candidate processing method to obtain a set of executable processing methods.

[0101] In this embodiment, the executable processing method set refers to the set of processing methods selected from multiple candidate processing methods. The candidate processing methods in the executable processing method set meet the processing requirements corresponding to the event response constraint information. Constraint screening refers to the process of screening each candidate processing method to determine whether it is suitable to continue participating in subsequent processing based on the event response constraint information.

[0102] Specifically, when selecting candidate processing methods based on event response constraint information to obtain a set of executable processing methods, the processing attributes of each candidate processing method are first parsed to obtain the corresponding processing attribute information. The processing attribute information represents the attribute content of the corresponding candidate processing method in terms of processing time limit, processing intensity, and processing method boundary. Then, the processing attribute information of each candidate processing method is compared with the event response constraint information item by item to determine whether each candidate processing method meets the processing time limit, processing intensity, and processing method boundary corresponding to the event response constraint information, thus obtaining the constraint matching result of each candidate processing method. Then, based on the constraint matching result of each candidate processing method, the response compliance judgment of each candidate processing method is performed to obtain the response compliance result of each candidate processing method. Then, based on the response compliance result of each candidate processing method, candidate processing methods that meet the event response constraint information are selected from each candidate processing method to obtain an initial set of executable processing methods. Finally, based on the processing attribute information of each candidate processing method in the initial set of executable processing methods, the initial set of executable processing methods is subjected to processing mutual exclusion verification to eliminate candidate processing methods with processing conflicts, thus obtaining the set of executable processing methods.

[0103] S80: Using the impact result information, sort the executable processing methods in the set of executable processing methods according to the impact adaptation, and determine the target processing method based on the impact adaptation sorting result.

[0104] In this embodiment, impact adaptation sorting refers to the process of sorting the degree of adaptation between each executable processing method and the current operating capacity of the intelligent fusion terminal based on the processing impact result information corresponding to each executable processing method. The impact adaptation sorting result refers to the arrangement result formed after each executable processing method has undergone impact adaptation sorting. The target processing method refers to the processing method determined from the set of executable processing methods for performing hierarchical processing of meter event information.

[0105] Specifically, using the impact result information, the executable processing methods in the set of executable processing methods are sorted for impact adaptation. When determining the target processing method based on the impact adaptation sorting results, the occupancy change prediction information corresponding to each executable processing method is first read from the impact result information. The occupancy change prediction information corresponding to each executable processing method is then compared with the event response constraint information to perform response boundary verification. This determines whether the occupancy change generated after the execution of each executable processing method still meets the processing requirements corresponding to the event response constraint information, thus obtaining the boundary verification results for each executable processing method. Finally, based on the boundary verification results for each executable processing method, the executable processing methods that meet the response boundary requirements are selected from the set of executable processing methods. The required executable processing methods are used to obtain a set of boundary compliance processing methods. Then, combined with the terminal service status information, the impact absorption analysis is performed on the occupancy change prediction information corresponding to each executable processing method in the boundary compliance processing method set. This determines whether the intelligent converged terminal can handle the occupancy change generated by the corresponding executable processing method within the current service cycle, and obtains the impact absorption result information corresponding to each executable processing method. Based on the impact absorption result information corresponding to each executable processing method, the impact adaptation ranking of each executable processing method in the boundary compliance processing method set is performed to obtain the impact adaptation ranking result. Finally, based on the impact adaptation ranking result, the target processing method is determined from the boundary compliance processing method set.

[0106] S90: Based on the target processing method, perform hierarchical processing on meter event information.

[0107] In this embodiment, hierarchical processing refers to the process of performing corresponding processing actions on meter event information according to the target processing method. Hierarchical processing is used to enable meter event information with different processing requirements to be processed according to the corresponding processing path.

[0108] Specifically, when performing hierarchical processing on meter event information based on the target processing method, the processing action content corresponding to the target processing method is first read, and the execution requirements corresponding to the meter event information in the processing action content are identified. If the processing action content indicates that it needs to be reported to the main station, event reporting data is generated based on the meter event information and sent to the main station through the link between the smart fusion terminal and the main station. If the processing action content indicates that it needs to be stored locally and waits for the main station to read it, event storage data is generated based on the meter event information and written to the local storage area of ​​the smart fusion terminal. If the processing action content indicates that it needs to be retained locally, event retention data is generated based on the meter event information and written to the local recording area of ​​the smart fusion terminal.

[0109] In one embodiment, step S30, namely determining the event response constraint information corresponding to the meter event information based on the meter event information and the initial event level information, includes:

[0110] S301: Extract event trigger feature information and event occurrence feature information from the meter event information.

[0111] In this embodiment, the event trigger feature information refers to the feature information extracted from the meter event information that characterizes the state corresponding to the meter event when it is triggered, and the event occurrence feature information refers to the feature information extracted from the meter event information that characterizes the process of the meter event occurring.

[0112] Specifically, when extracting event trigger feature information and event occurrence feature information from the electricity meter event information, the electricity meter event information is first divided into fields to obtain a trigger field that describes the triggering state of the electricity meter event and an occurrence field that describes the occurrence process of the electricity meter event. The trigger field is read to identify the field content that indicates the triggering cause, triggering condition, and triggering degree. The identified field content is then combined according to the field order in the electricity meter event information to obtain the event trigger feature information. The occurrence field is read to identify the field content that indicates the occurrence time, occurrence frequency, and occurrence duration. The identified field content is then combined according to the field order in the electricity meter event information to obtain the event occurrence feature information.

[0113] S302: Based on the initial event level information, determine the basic response constraint information corresponding to the meter event information.

[0114] In this embodiment, the basic response constraint information refers to the default processing requirements that correspond in advance to the initial event level information. The basic response constraint information is used to characterize the basic response range corresponding to the meter event information under the initial event level.

[0115] Specifically, when determining the basic response constraint information corresponding to the meter event information based on the initial event level information, the level field representing the event level in the initial event level information is first read. The level field is then matched with the preset level constraint correspondence to determine the default processing requirements corresponding to the initial event level information. The default processing requirements include processing time limit, processing intensity, and processing method boundary. The default processing requirements are then bound to the processing object corresponding to the meter event information to form a correspondence between the default processing requirements and the meter event information, thus obtaining the basic response constraint information corresponding to the meter event information.

[0116] S303: Perform urgency analysis on the event triggering characteristic information and event occurrence characteristic information to obtain event urgency information.

[0117] In this embodiment, response urgency analysis refers to analyzing event triggering characteristic information and event occurrence characteristic information to determine the urgency level of the meter event information that needs to be responded to. Event urgency information refers to the urgency level result obtained through response urgency analysis. Event urgency information is used to characterize whether the meter event information needs to increase the response requirements relative to the basic response range.

[0118] Specifically, when performing urgency analysis on event triggering feature information and event occurrence feature information to obtain event urgency information, the triggering feature information is first identified to determine the severity of the event when it is triggered. Then, the occurrence feature information is identified to determine the duration and repetition of the event. The severity, duration, and repetition are then combined to obtain the urgency analysis result for the event. Finally, the urgency analysis result is matched with a preset urgency classification rule to determine the urgency level of the event and obtain the event urgency information.

[0119] S304: Based on the event urgency information, adjust the basic response constraint information to obtain the adjusted basic response constraint information.

[0120] In this embodiment, constraint adjustment refers to the process of changing the processing requirements in the basic response constraint information based on the event urgency information. The adjusted basic response constraint information refers to the processing requirement information formed after the basic response constraint information has been adjusted.

[0121] Specifically, based on the urgency information of the event, the basic response constraint information is adjusted to obtain the adjusted basic response constraint information. First, the urgency level corresponding to the event urgency information is read. Then, the urgency level is compared with the processing time limit, processing intensity, and processing method boundaries in the basic response constraint information. If the urgency level is higher than the basic urgency level corresponding to the basic response constraint information, the processing time limit is shortened, the processing intensity is increased, and the processing method boundaries are narrowed to obtain the adjusted basic response constraint information. If the urgency level is not higher than the basic urgency level corresponding to the basic response constraint information, the processing time limit, processing intensity, and processing method boundaries in the basic response constraint information remain unchanged to obtain the adjusted basic response constraint information.

[0122] S305: Perform response boundary transformation on the adjusted basic response constraint information to obtain the event response constraint information corresponding to the meter event information.

[0123] In this embodiment, response boundary transformation refers to the process of converting the adjusted basic response constraint information into a constraint expression that can be used to determine candidate processing methods. The constraint expression refers to the data content used to describe the acceptable processing range of the meter event information.

[0124] Specifically, when performing response boundary transformation on the adjusted basic response constraint information to obtain the event response constraint information corresponding to the meter event information, the processing time limit, processing intensity, and processing method boundary in the adjusted basic response constraint information are first read. The processing time limit is converted into a time boundary for judging whether the candidate processing method meets the response time requirement, the processing intensity is converted into an intensity boundary for judging whether the candidate processing method meets the response degree requirement, and the processing method boundary is converted into a method boundary for judging whether the candidate processing method is within the acceptable processing range. Then, the time boundary, intensity boundary, and method boundary are associated according to the processing requirements corresponding to the meter event information to obtain the event response constraint information corresponding to the meter event information.

[0125] In one embodiment, step S40, namely, determining multiple candidate processing methods corresponding to the meter event information based on the initial event level information and event response constraint information, includes:

[0126] S401: Based on the initial event level information, determine the set of basic processing methods corresponding to the meter event information.

[0127] In this embodiment, the basic processing method set refers to the set of processing methods that correspond in advance to the initial event level information. The basic processing method set is used to represent the basic processing path that the meter event information can adopt under the initial event level.

[0128] Specifically, when determining the set of basic processing methods corresponding to the meter event information based on the initial event level information, the level field representing the event level in the initial event level information is first read, and the level field is matched with the preset level processing correspondence to determine one or more basic processing methods corresponding to the initial event level information. Then, according to the processing object corresponding to the meter event information, one or more basic processing methods are associated with the meter event information to form the set of basic processing methods corresponding to the meter event information.

[0129] S402: Extract response boundary information from event response constraint information, and perform reachability judgment on each basic processing method in the basic processing method set based on the response boundary information to obtain the reachability judgment result corresponding to each basic processing method.

[0130] In this embodiment, response boundary information refers to the boundary information extracted from event response constraint information, which is used to limit the acceptable processing range of meter event information. Response boundary information includes time boundary, intensity boundary and mode boundary. Reachability judgment refers to the process of judging whether each basic processing mode can meet the processing requirements limited by the response boundary information. Reachability judgment result refers to the judgment result formed after each basic processing mode has undergone reachability judgment.

[0131] Specifically, response boundary information is extracted from the event response constraint information. Based on the response boundary information, accessibility judgment is performed on each basic processing method in the set of basic processing methods. When obtaining the accessibility judgment result for each basic processing method, the time boundary, intensity boundary, and mode boundary in the event response constraint information are read first to form response boundary information. Then, the processing attributes of each basic processing method in the set of basic processing methods are read to determine the expected processing time, processing action degree, and processing path type corresponding to each basic processing method. The expected processing time corresponding to each basic processing method is compared with the time boundary to determine whether each basic processing method meets the response time requirement. The processing action degree corresponding to each basic processing method is compared with the intensity boundary to determine whether each basic processing method meets the response degree requirement. The processing path type corresponding to each basic processing method is compared with the mode boundary to determine whether each basic processing method is within the acceptable processing range. Based on the judgment of response time requirement, response degree requirement, and acceptable processing range, the accessibility judgment result corresponding to each basic processing method is obtained.

[0132] S403: Based on the reachability judgment result, expand or eliminate the basic processing method set to obtain the candidate processing method set.

[0133] In this embodiment, mode expansion refers to the process of supplementing the basic processing modes in the basic processing mode set with processing modes that match the meter event information when the basic processing modes in the basic processing mode set are insufficient to meet the processing requirements defined by the response boundary information. Mode elimination refers to the process of deleting the basic processing modes in the basic processing mode set that do not meet the processing requirements defined by the response boundary information. The candidate processing mode set refers to the processing mode set formed after mode expansion or mode elimination.

[0134] Specifically, based on the reachability judgment results, when expanding or eliminating methods from the set of basic processing methods to obtain the set of candidate processing methods, the reachability judgment results corresponding to each basic processing method are first read. If the reachability judgment result corresponding to any basic processing method indicates that the time boundary, intensity boundary, or method boundary in the response boundary information is not met, the basic processing method that does not meet the response boundary information is removed from the set of basic processing methods. If the number of basic processing methods retained in the set of basic processing methods does not reach the preset candidate number requirement, or if the basic processing methods retained in the set of basic processing methods do not cover the method boundary in the response boundary information, supplementary processing methods that meet the response boundary information are selected from the preset processing method library according to the time boundary, intensity boundary, and method boundary in the response boundary information, and the supplementary processing methods are added to the set of basic processing methods to obtain the set of candidate processing methods.

[0135] S404: Determine each candidate processing method in the candidate processing method set as multiple candidate processing methods corresponding to the meter event information.

[0136] In this embodiment, the candidate processing method set has been explained in the preceding steps and will not be repeated here. A candidate processing method refers to a single processing method in the candidate processing method set that is used to selectively process the meter event information. Multiple candidate processing methods refer to multiple optional processing paths obtained from the candidate processing method set that correspond to the meter event information.

[0137] Specifically, when each candidate processing method in the candidate processing method set is determined to be one of the multiple candidate processing methods corresponding to the meter event information, the candidate processing method set is traversed, each candidate processing method in the candidate processing method set is read one by one, and the correspondence between each candidate processing method and the meter event information is checked. When each candidate processing method corresponds to the meter event information, the candidate processing methods are arranged according to the order in the candidate processing method set to obtain the multiple candidate processing methods corresponding to the meter event information.

[0138] In one embodiment, step S50, namely obtaining the terminal service status information corresponding to the intelligent converged terminal, includes:

[0139] S501: Obtain the business execution queue information of the intelligent converged terminal within the current business cycle.

[0140] In this embodiment, the service execution queue information refers to the queue information formed by the intelligent converged terminal in the current service cycle according to the service execution order. The service execution queue information is used to characterize the services that the intelligent converged terminal has queued for execution, the services that are being executed, and the services that have been completed but still occupy recording resources in the current service cycle.

[0141] Specifically, when obtaining the service execution queue information of the intelligent converged terminal within the current business cycle, the current business cycle corresponding to the intelligent converged terminal is first determined. The service execution records recorded inside the intelligent converged terminal are read according to the start and end time of the current business cycle. The status of the service execution records is identified to distinguish between services that are queued for execution, services that are being executed, and services that have been completed but still occupy record resources. Then, according to the time order in which the services entered the queue and the current status of the services, the queues of services that are queued for execution, services that are being executed, and services that have been completed but still occupy record resources are sorted to obtain the service execution queue information of the intelligent converged terminal within the current business cycle.

[0142] S502: Obtain the link interaction status information between the intelligent fusion terminal and the main station.

[0143] In this embodiment, the link interaction status information refers to the link status information formed when the intelligent fusion terminal and the main station interact with each other. The link interaction status information is used to characterize the connection status and interaction occupancy between the intelligent fusion terminal and the main station in the current business cycle.

[0144] Specifically, when obtaining the link interaction status information between the intelligent converged terminal and the main station, the communication connection records between the intelligent converged terminal and the main station in the current business cycle are first determined. The connection status of the communication connection records is identified to obtain the link connection status between the intelligent converged terminal and the main station. Then, the data interaction records between the intelligent converged terminal and the main station in the current business cycle are read. The number of interactions and the duration of interactions are counted for the data interaction records to obtain the link interaction frequency and the link interaction duration. Finally, the link connection status, link interaction frequency, and link interaction duration are correlated and organized to obtain the link interaction status information between the intelligent converged terminal and the main station.

[0145] S503: Based on the service execution queue information, determine the service occupancy baseline information corresponding to the intelligent converged terminal.

[0146] In this embodiment, the service occupancy benchmark information refers to the benchmark information determined based on the service execution queue information, which is used to characterize the degree of service execution occupancy of the intelligent fusion terminal in the current service cycle. The service occupancy benchmark information is used to represent the service occupancy status of the intelligent fusion terminal before the superposition of each candidate processing method.

[0147] Specifically, when determining the service occupancy benchmark information corresponding to the intelligent converged terminal based on the service execution queue information, the following steps are taken: first, read the services that are queued for execution, the services that are currently being executed, and the services that have been completed but still occupy recording resources. Then, identify the waiting occupancy of the services that are queued for execution to determine their waiting occupancy status within the current service cycle; identify the execution occupancy of the services that are currently being executed to determine their execution occupancy status within the current service cycle; and identify the recording occupancy of the services that have been completed but still occupy recording resources to determine their recording occupancy status within the current service cycle. Finally, summarize the waiting occupancy status, the execution occupancy status, and the recording occupancy status to obtain the service occupancy benchmark information corresponding to the intelligent converged terminal.

[0148] S504: Based on the link interaction status information, determine the link occupancy baseline information corresponding to the intelligent converged terminal.

[0149] In this embodiment, the link occupancy benchmark information refers to the benchmark information determined based on the link interaction status information, which characterizes the degree of link interaction occupancy between the intelligent fusion terminal and the main station in the current business cycle. The link occupancy benchmark information is used to represent the link occupancy status of the intelligent fusion terminal before the superposition of each candidate processing method.

[0150] Specifically, when determining the link occupancy baseline information corresponding to the intelligent converged terminal based on the link interaction status information, the link connection status, link interaction frequency, and link interaction duration are first read from the link interaction status information. The link connection status is used to identify connection occupancy and determine the connection occupancy between the intelligent converged terminal and the master station within the current business cycle. The link interaction frequency is used to identify frequency occupancy and determine the number of interactions between the intelligent converged terminal and the master station within the current business cycle. The link interaction duration is used to identify continuous occupancy and determine the interaction time occupancy between the intelligent converged terminal and the master station within the current business cycle. Then, the connection occupancy, number of interactions, and interaction time occupancy are summarized to obtain the link occupancy baseline information corresponding to the intelligent converged terminal.

[0151] S505: Perform state fusion on service occupancy baseline information and link occupancy baseline information to obtain terminal service status information corresponding to the intelligent converged terminal.

[0152] In this embodiment, state fusion refers to the process of integrating service occupancy baseline information and link occupancy baseline information according to the same current service cycle. State fusion is used to form terminal service state information that can simultaneously characterize the service execution occupancy state and the link interaction occupancy state.

[0153] Specifically, when performing state fusion on service occupancy baseline information and link occupancy baseline information to obtain the terminal service status information corresponding to the intelligent converged terminal, firstly, the service occupancy baseline information and link occupancy baseline information are time-correlated according to the current service cycle to determine the correspondence between the service occupancy baseline information and link occupancy baseline information within the same time range. Then, the service occupancy baseline information and link occupancy baseline information after time correspondence are field-correlated to determine the association position between the service occupancy status and the link occupancy status. Then, the service occupancy baseline information and link occupancy baseline information are merged according to the association position to obtain the fused status information that simultaneously contains the service occupancy status and the link occupancy status. Finally, the fused status information is organized according to the status record format corresponding to the intelligent converged terminal to obtain the terminal service status information corresponding to the intelligent converged terminal.

[0154] In one embodiment, in step S60, based on the terminal service status information, the occupancy changes on the terminal service operation status after each candidate processing method is executed are predicted to obtain the processing impact result information corresponding to each candidate processing method, including:

[0155] S601: Based on the terminal service status information, construct the current occupancy benchmark information corresponding to the intelligent converged terminal.

[0156] In this embodiment, the current occupancy benchmark information refers to the benchmark information constructed based on the terminal service status information, which is used to characterize the current occupancy status of the intelligent fusion terminal before each candidate processing method is executed. The current occupancy benchmark information is used as the basis for comparison to judge the occupancy changes after each candidate processing method is executed.

[0157] Specifically, when constructing the current occupancy benchmark information corresponding to the intelligent converged terminal based on the terminal service status information, the service occupancy status and link occupancy status contained in the terminal service status information are read first. The occupancy position of the service occupancy status is identified to determine the service position occupied by the service execution in the current service cycle of the intelligent converged terminal. The occupancy position of the link occupancy status is identified to determine the link position occupied by the link interaction in the current service cycle of the intelligent converged terminal. Then, the service position and link position are arranged according to the current service cycle to form the occupancy arrangement result of the intelligent converged terminal in the current service cycle. Finally, the occupancy arrangement result is benchmarked to obtain the current occupancy benchmark information corresponding to the intelligent converged terminal.

[0158] S602: Analyze the processing occupancy attributes of each candidate processing method to obtain the processing occupancy attribute information corresponding to each candidate processing method.

[0159] In this embodiment, processing the occupancy attribute parsing refers to the process of identifying the business execution part and link interaction part that each candidate processing method needs to occupy during the execution process. Processing the occupancy attribute information refers to the attribute information obtained by processing the occupancy attribute parsing, which is used to characterize the content occupied by each candidate processing method.

[0160] Specifically, when parsing the processing occupancy attributes of each candidate processing method to obtain the processing occupancy attribute information corresponding to each candidate processing method, the processing action content in each candidate processing method is read one by one to identify whether the processing action content involves the business execution part and the link interaction part. If the processing action content involves the business execution part, the occupancy attribute is read for the business execution part to determine the business position and business duration that need to be occupied when the corresponding candidate processing method is executed. If the processing action content involves the link interaction part, the occupancy attribute is read for the link interaction part to determine the link position and link duration that need to be occupied when the corresponding candidate processing method is executed. Then, the business position, business duration, link position, and link duration are associated according to the corresponding candidate processing method to obtain the processing occupancy attribute information corresponding to each candidate processing method.

[0161] S603: The occupancy attribute information is superimposed onto the current occupancy baseline information to obtain the occupancy superposition result information corresponding to each candidate processing method.

[0162] In this embodiment, the occupancy overlay result information refers to the occupancy status result formed after adding the processing occupancy attribute information corresponding to each candidate processing method to the current occupancy benchmark information. The occupancy overlay result information is used to characterize the occupancy status that the intelligent fusion terminal may form in the current business cycle after each candidate processing method is executed.

[0163] Specifically, when overlaying the processing occupancy attribute information onto the current occupancy baseline information to obtain the occupancy overlay result information corresponding to each candidate processing method, the current occupancy baseline information is first used as the overlay basis. According to the service location, service duration, link location, and link duration in the processing occupancy attribute information corresponding to each candidate processing method, the occupancy addition position and occupancy duration range corresponding to each candidate processing method are determined respectively within the current service cycle. Then, the occupancy addition position and occupancy duration range corresponding to each candidate processing method are added to the corresponding service occupancy status and link occupancy status in the current occupancy baseline information to form the overlay occupancy status corresponding to each candidate processing method. Finally, the overlay occupancy status is recorded separately according to each candidate processing method to obtain the occupancy overlay result information corresponding to each candidate processing method.

[0164] S604: Perform a difference analysis between the occupancy overlay result information and the current occupancy baseline information to obtain the occupancy change prediction information corresponding to each candidate processing method.

[0165] In this embodiment, difference analysis refers to the process of comparing the occupancy overlay result information with the current occupancy baseline information to determine the occupancy change caused by the execution of each candidate processing method. Occupancy change prediction information refers to the information obtained through difference analysis that characterizes the occupancy change of each candidate processing method relative to the current occupancy state.

[0166] Specifically, when performing a difference analysis between the occupancy overlay result information and the current occupancy baseline information to obtain the occupancy change prediction information corresponding to each candidate processing method, the occupancy overlay result information corresponding to each candidate processing method is first read one by one. The occupancy overlay result information corresponding to each candidate processing method is then matched with the current occupancy baseline information according to the current business cycle. Next, the occupancy position is compared with the current occupancy baseline information after time matching. The newly added occupancy position and occupancy duration range of the occupancy overlay result information relative to the current occupancy baseline information are identified. Then, the newly added occupancy position and occupancy duration range are marked to obtain the occupancy change position and occupancy change range caused by the corresponding candidate processing method. Finally, the occupancy change position and occupancy change range corresponding to each candidate processing method are associated and recorded to obtain the occupancy change prediction information corresponding to each candidate processing method.

[0167] S605: Based on the occupancy change prediction information, obtain the processing impact result information corresponding to each candidate processing method.

[0168] In this embodiment, the impact result information has been explained in the aforementioned steps and will not be repeated here. The occupancy change prediction information is used to indicate the occupancy change relative to the current occupancy baseline information after each candidate processing method is executed. The impact result information is used to indicate the impact result of each candidate processing method on the terminal service operation status.

[0169] Specifically, when obtaining the processing impact result information corresponding to each candidate processing method based on the occupancy change prediction information, the occupancy change prediction information corresponding to each candidate processing method is read one by one. The occupancy change position and occupancy change range in the occupancy change prediction information are identified. The occupancy change position is matched with the service occupancy status and link occupancy status in the current occupancy baseline information. It is determined whether the occupancy change position corresponds to service execution occupancy or link interaction occupancy. Then, the degree of change caused by service execution occupancy or link interaction occupancy is marked according to the occupancy change range to obtain the impact position and impact range corresponding to each candidate processing method. Finally, the impact position and impact range are associated and recorded according to the corresponding candidate processing method to obtain the processing impact result information corresponding to each candidate processing method.

[0170] In one embodiment, in step S70, the candidate processing methods are constrained and filtered according to the event response constraint information to obtain a set of executable processing methods, including:

[0171] S701: Perform processing attribute parsing on each candidate processing method to obtain the processing attribute information corresponding to each candidate processing method.

[0172] In this embodiment, processing attribute parsing refers to the process of identifying the processing requirements contained in each candidate processing method. Processing attribute information refers to the information obtained through processing attribute parsing that characterizes the processing features of each candidate processing method. The processing attribute information is used for constraint matching with event response constraint information.

[0173] Specifically, when parsing the processing attributes of each candidate processing method to obtain the processing attribute information corresponding to each candidate processing method, the processing action content in each candidate processing method is read one by one, the fields of the processing action content are identified, and the processing time limit attribute, processing intensity attribute, and processing method boundary attribute involved in the corresponding candidate processing method are determined. Then, the processing time limit attribute, processing intensity attribute, and processing method boundary attribute are associated and organized according to the corresponding candidate processing method to obtain the processing attribute information corresponding to each candidate processing method.

[0174] S702: Perform constraint matching between the processing attribute information and the event response constraint information to obtain the constraint matching results corresponding to each candidate processing method.

[0175] In this embodiment, constraint matching refers to the process of comparing the processing attribute information corresponding to each candidate processing method with the event response constraint information to determine whether each candidate processing method meets the processing requirements of the meter event information. The constraint matching result refers to the matching judgment result obtained through constraint matching. The constraint matching result is used to characterize the satisfaction relationship between each candidate processing method and the event response constraint information.

[0176] Specifically, when performing constraint matching between processing attribute information and event response constraint information to obtain the constraint matching results for each candidate processing method, the processing attribute information corresponding to each candidate processing method is read one by one, and the time boundary, intensity boundary, and mode boundary in the event response constraint information are read. The processing time limit attribute in the processing attribute information is compared with the time boundary to determine whether the corresponding candidate processing method meets the response time requirement of the meter event information. The processing intensity attribute in the processing attribute information is compared with the intensity boundary to determine whether the corresponding candidate processing method meets the response degree requirement of the meter event information. The processing mode boundary attribute in the processing attribute information is compared with the mode boundary to determine whether the corresponding candidate processing method is within the acceptable processing range of the meter event information. Then, the judgment results of response time requirement, response degree requirement, and acceptable processing range are summarized according to the corresponding candidate processing method to obtain the constraint matching results for each candidate processing method.

[0177] S703: Based on the constraint matching results, determine the response compliance of each candidate processing method and obtain the response compliance results corresponding to each candidate processing method.

[0178] In this embodiment, response compliance determination refers to the process of determining whether each candidate processing method meets the processing requirements limited by the event response constraint information based on the constraint matching result. Response compliance result refers to the determination result formed after each candidate processing method has passed the response compliance determination. Response compliance result is used to characterize whether each candidate processing method can be used as a processing method that satisfies the event response constraint information.

[0179] Specifically, based on the constraint matching results, the response compliance of each candidate processing method is determined. When obtaining the response compliance results for each candidate processing method, the constraint matching results for each candidate processing method are read one by one. The judgments regarding response time requirements, response degree requirements, and acceptable processing range in the constraint matching results are identified. If the response time requirements, response degree requirements, and acceptable processing range are all met, the corresponding candidate processing method is determined to be a response compliance processing method. If at least one of the response time requirements, response degree requirements, and acceptable processing range is not met, the corresponding candidate processing method is determined to be a response non-compliance processing method. Then, the judgment content of the response compliance processing method or the response non-compliance processing method is associated and recorded according to the corresponding candidate processing method to obtain the response compliance results for each candidate processing method.

[0180] S704: Based on the response compliance results, select candidate processing methods that meet the event response constraint information from each candidate processing method to obtain an initial set of executable processing methods.

[0181] In this embodiment, the initial executable processing method set refers to the set of processing methods selected from each candidate processing method based on the response compliance result. All candidate processing methods in the initial executable processing method set meet the processing requirements corresponding to the event response constraint information.

[0182] Specifically, based on the response compliance results, when selecting candidate processing methods that meet the event response constraints from each candidate processing method to obtain the initial set of executable processing methods, the response compliance results corresponding to each candidate processing method are read one by one. The judgment content in the response compliance results indicating whether the response compliance processing method is compliant or non-compliant is identified. If the response compliance result indicates that the corresponding candidate processing method is compliant, the corresponding candidate processing method is retained. If the response compliance result indicates that the corresponding candidate processing method is non-compliant, the corresponding candidate processing method is removed. Then, the retained candidate processing methods are associated and organized according to the corresponding response compliance results to obtain the initial set of executable processing methods.

[0183] S705: Based on the processing attribute information corresponding to each candidate processing method in the initial executable processing method set, perform processing mutual exclusion verification on the initial executable processing method set, eliminate candidate processing methods with processing conflicts, and obtain the executable processing method set.

[0184] In this embodiment, mutual exclusion verification refers to the process of determining whether there are processing relationships that cannot be retained simultaneously among the candidate processing methods in the initial set of executable processing methods based on the processing attribute information. Processing conflict refers to the situation where there is mutual exclusion between candidate processing methods in terms of processing time limit attribute, processing intensity attribute, or processing method boundary attribute. The set of executable processing methods refers to the set of processing methods retained after mutual exclusion verification of the initial set of executable processing methods.

[0185] Specifically, based on the processing attribute information corresponding to each candidate processing method in the initial executable processing method set, a mutual exclusion check is performed on the initial executable processing method set to eliminate candidate processing methods with processing conflicts. When obtaining the executable processing method set, the processing attribute information corresponding to each candidate processing method in the initial executable processing method set is read one by one to identify the processing time limit attribute, processing intensity attribute, and processing method boundary attribute corresponding to each candidate processing method. Then, the processing time limit attributes corresponding to each candidate processing method are compared to determine whether there is a mutual exclusion of processing time limits among the candidate processing methods. The processing intensity attributes corresponding to each candidate processing method are then compared to determine whether there is a mutual exclusion of processing time limits among the candidate processing methods. The process involves cross-comparison to determine if there is mutual exclusion in processing intensity among the candidate processing methods. It also involves cross-comparison of the boundary attributes of the processing methods corresponding to each candidate processing method to determine if there is mutual exclusion in processing paths. If any candidate processing method is mutually exclusive in processing time, processing intensity, or processing path with other candidate processing methods, it is marked as a candidate processing method with processing conflict. The candidate processing method with processing conflict is removed from the initial set of executable processing methods. After completing the mutual exclusion verification, the remaining candidate processing methods form the set of executable processing methods.

[0186] In one embodiment, step S80 involves using the impact result information to sort the executable processing methods in the executable processing method set according to their impact adaptation, and determining the target processing method based on the impact adaptation sorting results, including:

[0187] S801: Extract occupancy change prediction information corresponding to each executable processing method from the impact result information.

[0188] In this embodiment, the occupancy change prediction information has been explained in the aforementioned steps and will not be repeated here. The occupancy change prediction information corresponding to each executable processing method refers to the occupancy change content recorded in the processing impact result information corresponding to each executable processing method. The occupancy change prediction information is used as the basis for subsequent impact adaptation sorting analysis.

[0189] Specifically, when extracting the occupancy change prediction information corresponding to each executable processing method from the impact processing result information, firstly, each executable processing method in the set of executable processing methods is read one by one, and each executable processing method is matched with the impact processing result information. Then, the impact record content corresponding to each executable processing method in the impact processing result information is searched. Next, the occupancy change location and occupancy change range are read from the impact record content. The occupancy change location and occupancy change range are associated and organized according to the corresponding executable processing method to obtain the occupancy change prediction information corresponding to each executable processing method.

[0190] S802: Based on event response constraint information, perform response boundary verification on occupancy change prediction information to obtain the boundary verification results corresponding to each executable processing method.

[0191] In this embodiment, response boundary verification refers to the process of judging whether the occupancy change prediction information corresponding to each executable processing method is still within the acceptable processing range of the meter event information based on the event response constraint information. The boundary verification result refers to the judgment result obtained through response boundary verification. The boundary verification result is used to characterize whether each executable processing method satisfies the event response constraint information after the occupancy change occurs.

[0192] Specifically, based on event response constraint information, response boundary verification is performed on occupancy change prediction information to obtain the boundary verification results corresponding to each executable processing method. First, the time boundary, intensity boundary, and mode boundary in the event response constraint information are read. Then, the occupancy change prediction information corresponding to each executable processing method is read one by one. The occupancy change position and occupancy change range in the occupancy change prediction information are identified. The occupancy change position and occupancy change range are compared with the time boundary, intensity boundary, and mode boundary to determine whether the occupancy change generated after the execution of each executable processing method causes the corresponding executable processing method to exceed the time boundary, be lower than the intensity boundary, or exceed the mode boundary. If the corresponding executable processing method does not exceed the time boundary, is not lower than the intensity boundary, and does not exceed the mode boundary, a boundary verification result that meets the boundary standard is generated. If the corresponding executable processing method exceeds the time boundary, is lower than the intensity boundary, or exceeds the mode boundary, a boundary verification result that does not meet the boundary standard is generated.

[0193] S803: Based on the boundary verification results, select executable processing methods that meet the response boundary requirements from the set of executable processing methods to obtain a set of boundary compliance processing methods.

[0194] In this embodiment, the response boundary requirement refers to the processing requirement formed by the time boundary, intensity boundary and mode boundary in the event response constraint information. The boundary compliance processing method set refers to the set of processing methods selected from the executable processing method set whose corresponding boundary verification results are boundary compliant.

[0195] Specifically, based on the boundary verification results, executable processing methods that meet the response boundary requirements are selected from the set of executable processing methods to obtain the set of boundary-compliant processing methods. First, the boundary verification results corresponding to each executable processing method in the set of executable processing methods are read one by one. The judgment content indicating whether the boundary meets or does not meet the boundary in the boundary verification results is identified. If the boundary verification result indicates that the corresponding executable processing method meets the boundary, the corresponding executable processing method is retained as an executable processing method that meets the response boundary requirements. If the boundary verification result indicates that the corresponding executable processing method does not meet the boundary, the corresponding executable processing method is removed from the set of executable processing methods. Then, the retained executable processing methods are associated and organized according to the corresponding boundary verification results to obtain the set of boundary-compliant processing methods.

[0196] S804: Combining terminal service status information, perform impact absorption analysis on the occupancy change prediction information corresponding to each executable processing method in the boundary compliance processing method set, and obtain the impact absorption result information corresponding to each executable processing method.

[0197] In this embodiment, impact absorption analysis refers to the analysis process of determining whether the current business operation status of the intelligent converged terminal can withstand the occupancy changes corresponding to each executable processing method by combining terminal business status information. Impact absorption result information refers to the result information obtained through impact absorption analysis. Impact absorption result information is used to characterize whether the occupancy changes corresponding to each executable processing method can be absorbed by the current business operation status of the intelligent converged terminal.

[0198] Specifically, by combining terminal service status information, impact mitigation analysis is performed on the occupancy change prediction information corresponding to each executable processing method in the boundary compliance processing method set. When obtaining the impact mitigation result information corresponding to each executable processing method, the service occupancy status and link occupancy status in the terminal service status information are read first. Then, the occupancy change prediction information corresponding to each executable processing method in the boundary compliance processing method set is read one by one. The occupancy change location and occupancy change range in the occupancy change prediction information are identified. The occupancy change location is compared with the service occupancy status and link occupancy status respectively to determine whether the occupancy change location falls into an already occupied position. If the changed location does not fall into an already occupied location, the system continues to determine whether the changed range exceeds the corresponding location's capacity. If the changed range does not exceed the corresponding location's capacity, the corresponding executable processing method is marked as a process that can be absorbed. If the changed location falls into an already occupied location, or the changed range exceeds the corresponding location's capacity, the corresponding executable processing method is marked as a process that cannot be absorbed. The marked content of the process that can be absorbed or cannot be absorbed is then associated and recorded according to the corresponding executable processing method to obtain the impact absorption result information corresponding to each executable processing method.

[0199] S805: Based on the impact absorption result information, sort the executable processing methods in the boundary compliance processing method set according to impact adaptation to obtain the impact adaptation sorting result.

[0200] In this embodiment, the impact adaptation sorting has been explained in the preceding steps and will not be repeated here. The impact adaptation sorting result refers to the sorting result formed by arranging each executable processing method in the boundary compliance processing method set according to the impact absorption result information. The impact adaptation sorting result is used to characterize the adaptation order between each executable processing method and the current business operation status of the intelligent fusion terminal.

[0201] Specifically, based on the impact absorption result information, the executable processing methods in the boundary compliance processing method set are sorted according to impact adaptation. When obtaining the impact adaptation sorting result, the impact absorption result information corresponding to each executable processing method in the boundary compliance processing method set is read one by one. The marker content indicating whether the impact absorption result information indicates an absorbable or non-absorbable processing method is identified. If the impact absorption result information indicates that the corresponding executable processing method is an absorbable processing method, the corresponding executable processing method is arranged before the non-absorbable processing method. Then, the occupancy change prediction information corresponding to the absorbable processing method is compared for occupancy change range. The absorbable processing method with a smaller occupancy change range is arranged before the absorbable processing method with a larger occupancy change range. Similarly, the occupancy change prediction information corresponding to the non-absorbable processing method is compared for occupancy change range. The non-absorbable processing method with a smaller occupancy change range is arranged before the non-absorbable processing method with a larger occupancy change range. This yields the impact adaptation sorting result.

[0202] S806: Based on the impact adaptation sorting results, determine the target processing method from the set of boundary compliance processing methods.

[0203] In this embodiment, the target processing method has been explained in the preceding steps and will not be repeated here. The executable processing methods in the boundary compliance processing method set have formed an adaptation order relationship according to the impact adaptation sorting result. The adaptation order relationship is used to represent the matching order between each executable processing method and the current business operation status of the intelligent fusion terminal.

[0204] Specifically, when determining the target processing method from the set of boundary compliance processing methods based on the impact adaptation sorting results, the order of each executable processing method in the impact adaptation sorting results is read first, the executable processing method at the top is identified, and then it is checked whether the executable processing method at the top still belongs to the set of boundary compliance processing methods. If the check result is that it belongs to the set of boundary compliance processing methods, the executable processing method at the top is determined as the target processing method. If the executable processing method at the top fails the check, the next executable processing method is read according to the order of the impact adaptation sorting results, and the executable processing method that passes the check is determined as the target processing method.

[0205] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0206] In one embodiment, a smart converged terminal event hierarchical processing device is provided, which corresponds one-to-one with the smart converged terminal event hierarchical processing method described in the above embodiments. For example... Figure 2 As shown, the intelligent fusion terminal event classification processing device includes an event information acquisition module, an initial level matching module, a response constraint determination module, a candidate mode determination module, a business status acquisition module, a processing impact prediction module, an executable mode filtering module, an executable mode filtering module, a target mode determination module, and an event classification processing module.

[0207] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0208] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for intelligent converged terminal event classification processing, characterized in that, The intelligent fusion terminal event hierarchical processing method includes: Acquire meter event information received by the smart converged terminal; The meter event information is matched with rules according to the event classification rule base to obtain the initial event level information corresponding to the meter event information. Based on the meter event information and the initial event level information, determine the event response constraint information corresponding to the meter event information; Based on the initial event level information and the event response constraint information, multiple candidate processing methods corresponding to the meter event information are determined; Obtain the terminal service status information corresponding to the intelligent converged terminal; Based on the terminal service status information, the changes in the occupancy of the terminal service operation status after each of the candidate processing methods is executed are predicted to obtain the processing impact result information corresponding to each of the candidate processing methods. Based on the event response constraint information, each candidate processing method is constrained and filtered to obtain a set of executable processing methods; Using the impact result information, the executable processing methods in the set of executable processing methods are sorted by impact adaptation, and the target processing method is determined based on the impact adaptation sorting result. Based on the target processing method, the meter event information is processed in a hierarchical manner.

2. The intelligent converged terminal event classification processing method of claim 1, wherein, The step of determining the event response constraint information corresponding to the meter event information based on the meter event information and the initial event level information includes: Extract event trigger feature information and event occurrence feature information from the meter event information; Based on the initial event level information, determine the basic response constraint information corresponding to the meter event information; Response urgency analysis is performed on the event triggering feature information and the event occurrence feature information to obtain event urgency information; Based on the event urgency information, the basic response constraint information is adjusted to obtain the adjusted basic response constraint information; The adjusted basic response constraint information is transformed by response boundary transformation to obtain the event response constraint information corresponding to the meter event information.

3. The method of claim 1, wherein the method further comprises: The step of determining multiple candidate processing methods corresponding to the meter event information based on the initial event level information and the event response constraint information includes: Based on the initial event level information, determine the set of basic processing methods corresponding to the meter event information; Response boundary information is extracted from the event response constraint information. Based on the response boundary information, the reachability of each basic processing method in the set of basic processing methods is determined, and the reachability determination result corresponding to each basic processing method is obtained. Based on the reachability judgment result, the basic processing method set is expanded or eliminated to obtain a candidate processing method set; Each candidate processing method in the set of candidate processing methods is determined as one of the multiple candidate processing methods corresponding to the meter event information.

4. The method of claim 1, wherein the method further comprises: The step of obtaining the terminal service status information corresponding to the intelligent converged terminal includes: Obtain the business execution queue information of the intelligent fusion terminal within the current business cycle; Obtain the link interaction status information between the intelligent fusion terminal and the main station; Based on the service execution queue information, determine the service occupancy benchmark information corresponding to the intelligent converged terminal; Based on the link interaction status information, determine the link occupancy reference information corresponding to the intelligent fusion terminal; The service occupancy baseline information and the link occupancy baseline information are fused to obtain the terminal service status information corresponding to the intelligent fusion terminal.

5. The method of claim 1, wherein the method further comprises: The step involves combining the terminal service status information to predict the occupancy changes in the terminal service operation status after each candidate processing method is executed, thereby obtaining processing impact result information corresponding to each candidate processing method, including: Based on the terminal service status information, construct the current occupancy benchmark information corresponding to the intelligent converged terminal; The processing occupancy attribute is parsed for each of the candidate processing methods to obtain the processing occupancy attribute information corresponding to each of the candidate processing methods. The processing occupancy attribute information is superimposed onto the current occupancy baseline information to obtain the occupancy superposition result information corresponding to each of the candidate processing methods; A difference analysis is performed between the occupancy overlay result information and the current occupancy baseline information to obtain occupancy change prediction information corresponding to each of the candidate processing methods; Based on the occupancy change prediction information, the processing impact result information corresponding to each of the candidate processing methods is obtained.

6. The intelligent converged terminal event classification processing method of claim 1, wherein, The step of performing constraint filtering on each candidate processing method according to the event response constraint information to obtain a set of executable processing methods includes: The processing attribute information corresponding to each of the candidate processing methods is obtained by parsing the processing attributes of each candidate processing method. The processing attribute information is matched with the event response constraint information to obtain the constraint matching result corresponding to each candidate processing method. Based on the constraint matching results, the response compliance determination is performed on each of the candidate processing methods to obtain the response compliance results corresponding to each of the candidate processing methods. Based on the response compliance results, candidate processing methods that meet the event response constraint information are selected from each of the candidate processing methods to obtain an initial set of executable processing methods. Based on the processing attribute information corresponding to each candidate processing method in the initial executable processing method set, a mutual exclusion check is performed on the initial executable processing method set to eliminate candidate processing methods with processing conflicts, thereby obtaining the executable processing method set.

7. The method of claim 1, wherein the method further comprises: The step of using the impact result information to sort the executable processing methods in the executable processing method set according to impact adaptation, and determining the target processing method based on the impact adaptation sorting result, includes: Extract the occupancy change prediction information corresponding to each of the executable processing methods from the processed impact result information; Based on the event response constraint information, the occupancy change prediction information is subjected to response boundary verification to obtain the boundary verification results corresponding to each of the executable processing methods. Based on the boundary verification results, executable processing methods that meet the response boundary requirements are selected from the set of executable processing methods to obtain a set of boundary compliance processing methods. Based on the terminal service status information, the impact absorption analysis is performed on the occupancy change prediction information corresponding to each executable processing method in the set of boundary compliance processing methods to obtain the impact absorption result information corresponding to each executable processing method. Based on the impact absorption result information, the executable processing methods in the set of boundary compliance processing methods are sorted according to impact adaptation to obtain the impact adaptation sorting result. Based on the impact adaptation sorting results, the target processing method is determined from the set of boundary compliance processing methods.

8. A smart fusion terminal event hierarchical processing device, characterized in that, The intelligent fusion terminal event hierarchical processing device includes: The event information acquisition module is used to acquire meter event information received by the smart converged terminal; The initial level matching module is used to perform rule matching on the meter event information according to the event classification rule base to obtain the initial event level information corresponding to the meter event information. The response constraint determination module is used to determine the event response constraint information corresponding to the meter event information based on the meter event information and the initial event level information. The candidate method determination module is used to determine multiple candidate processing methods corresponding to the meter event information based on the initial event level information and the event response constraint information. The service status acquisition module is used to acquire the terminal service status information corresponding to the intelligent converged terminal; The impact prediction module is used to combine the terminal service status information to predict the occupancy changes that the terminal service operation status will be affected by the execution of each of the candidate processing methods, and to obtain the processing impact result information corresponding to each of the candidate processing methods. The executable method filtering module is used to perform constraint filtering on each of the candidate processing methods according to the event response constraint information to obtain a set of executable processing methods; The target method determination module is used to sort the executable processing methods in the set of executable processing methods by impact adaptation using the impact result information, and determine the target processing method based on the impact adaptation sorting result. The event classification processing module is used to perform classification processing on the meter event information based on the target processing method.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the intelligent fusion terminal event hierarchical processing method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1-9. When the computer program is executed by the processor, it implements the steps of the intelligent fusion terminal event hierarchical processing method as described in any one of claims 1 to 7.

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