Game operation management instruction configuration generation processing method and system

Abstract

This invention provides a configurable generation and processing method and system for game operation management instructions, relating to the field of online game operation technology. The method includes: responding to operation events on the operation side; decomposing the operation semantics in the operation events into multiple mutually exclusive operation primitives to form a command fragment sequence; comparing the command fragment sequence with a pre-set command template library for features, selecting a matching command paradigm, and instantiating the matching command paradigm into a derivable command skeleton carrying dynamic placeholders. This invention, through paradigm instantiation, geometric modeling, non-intrusive sampling, and mirror layer isolation, transforms natural language semantics into an automated operation instruction execution process. This ensures the accuracy, consistency, and traceability of instruction execution, while reducing the performance impact and risk of accidental modification on the game server through isolated sampling and incremental refresh mechanisms, thereby improving game operation efficiency and system security.

Description

Technical Field

[0001] This invention relates to the field of online game operation technology, and in particular to a method and system for generating and processing game operation management instructions in a configurable manner. Background Technology

[0002] In game operation and management, it is sometimes necessary to modify game data in batches for player groups that meet specific conditions, such as distributing event rewards, adjusting the amount of game currency, or updating player status indicators. A common approach is for developers to write temporary scripts based on the needs of operations personnel to directly perform batch update operations on the game database; or to call predefined hard-coded interfaces through the operations backend to complete data changes one by one or in batches. In practical applications, however, this approach may have some situations that require further consideration. Specifically, when operational needs involve relatively complex player screening criteria, developers need to translate the natural language descriptions of the requirements into precise database update logic. During this transformation process, if there is a misunderstanding of the condition boundaries, or if condition fragments from similar historical requirements are reused without fully adapting to the current scenario, the actual range of data updates may differ from the expected range. When this difference is directly applied to the production environment storage, it may cause some player data that should not have been modified to be changed unexpectedly.

[0003] For example, a multiplayer online strategy game planned an event for its first anniversary. The operations team wanted to distribute a celebration chest to players who had logged into the game within the last two days and had an alliance contribution value of at least 2000 points. When writing the batch update logic, the developers referenced the condition description used in an event last month, which targeted players who had logged into the game within the last seven days and had an alliance contribution value of at least 500 points. The developers adjusted the login days condition but neglected to keep the contribution value threshold at 500 points. After the update logic was executed directly on the online database, the actual number of players receiving the chest expanded from the expected 6,000 to nearly 30,000. A large number of players with alliance contribution values ​​between 500 and 1999 points unexpectedly received chests they should not have received. Because this operation lacked automatic recording of players' chest holding status before the change and lacked pre-execution verification of the modified scope, it could only be remedied through manual investigation and data repair, which had a certain impact on operational efficiency and player experience. Summary of the Invention

[0004] This invention provides a configurable generation and processing method and system for game operation and management instructions, solving the problems of error-prone instruction configuration and uncontrollable operation range.

[0005] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:

[0006] Firstly, a method for generating and processing configurable game operation management instructions, the method comprising:

[0007] Step 1: Respond to the operation event from the operation terminal, decompose the operation semantics in the operation event into multiple mutually exclusive operation primitives to form an order fragment sequence. The order fragment sequence is composed of multiple mutually exclusive operation primitives in sequence. Each mutually exclusive operation primitive contains a scope label, a data variant type, and a set of constraints. The order fragment sequence is compared with the pre-set order template library for features, a matching order paradigm is selected, and the matching order paradigm is instantiated into a derivable order skeleton carrying dynamic placeholders. The derivable order skeleton refers to an instruction skeleton with a fixed structure and configurable parameters obtained by retaining fixed execution logic and replacing variable parameters with dynamic placeholders.

[0008] Step 2: Extract three feature pins from the derivable command skeleton and determine the driving base point. The three feature pins are respectively taken from the first byte of the template feature code in the command template library, the middle check field of the scope label in the derivable command skeleton, and the operation depth mark in the data variant type in the derivable command skeleton. Extend the edges in three orthogonal directions with the corresponding driving base point as the vertex to form a triangular pyramid base surface. Then, with the corresponding driving base point as the center, copy and scale the triangular pyramid base surface outward layer by layer along the normal direction of the triangular pyramid base surface to form a multi-layer nested convex star cone cover.

[0009] Step 3: Perform radial lobing operation on the convex star cone cover, that is, cut the base surface of each layer of triangular pyramid into three lobe-shaped sub-regions along the extension direction of each edge from the driving base point; in each lobe-shaped sub-region, staggered cross lines are made on the corresponding edges of two adjacent layers of triangular pyramid bases to generate a cable-stayed network; calculate the local impedance value for each cross node in the cable-stayed network, the local impedance value is obtained by adding the level component and the distance component, where the level component is calculated according to the level number of the level in which the cross node is located, and the distance component is calculated according to the spatial distance between the cross node and the driving base point; summarize all local impedance values ​​to obtain a deformation modulation factor, and use the deformation modulation factor to correct the derived command skeleton to obtain the corrected command skeleton;

[0010] Step 4: Based on the dynamic placeholders and scope labels in the corrected command skeleton, obtain a distributed data probe for player instances within the game server; use the distributed data probe to perform non-intrusive sampling on the set of player instances within the game server that satisfy the scope labels, and construct a transient data mirror layer.

[0011] Step 5: If the operation type carried by the derivable command skeleton is batch modification, then the data modification logic corresponding to the modified command skeleton is instantiated in the transient data mirror layer, the data mirror node is updated to the target node, and the batch data change of the target player set is completed; if it is batch query, then the transient data mirror layer is used as the query result.

[0012] Secondly, the system for configurable generation and processing of game operation and management instructions includes:

[0013] The matching module is used to respond to operational events from the operation side. It decomposes the operational semantics in the operation event into multiple mutually exclusive operation primitives to form a command fragment sequence. The command fragment sequence is composed of multiple mutually exclusive operation primitives in sequence. Each mutually exclusive operation primitive contains a scope label, a data variant type, and a set of constraints. The command fragment sequence is compared with the pre-set command template library to select a matching command paradigm. The matching command paradigm is then instantiated into a derivable command skeleton carrying dynamic placeholders. The derivable command skeleton refers to an instruction skeleton with a fixed structure and configurable parameters obtained by retaining fixed execution logic and replacing variable parameters with dynamic placeholders.

[0014] The extraction module is used to extract three feature pins of the derivable command skeleton and determine the driving base point. The three feature pins are respectively taken from the first byte of the template feature code in the command template library, the middle check field of the scope label in the derivable command skeleton, and the operation depth mark in the data variant type in the derivable command skeleton. The edges are extended in three orthogonal directions with the corresponding driving base point as the vertex to form a triangular pyramid base surface. Then, the triangular pyramid base surface is copied and scaled outward layer by layer along the normal direction of the triangular pyramid base surface with the corresponding driving base point as the center to form a multi-layer nested convex star cone cover.

[0015] The correction module is used to perform radial lobing operations on the convex star cone cover, that is, to cut each layer of triangular pyramid base surface into three lobe-shaped sub-regions along the extension direction of each edge starting from the driving base point; to stagger and cross the corresponding edges of two adjacent layers of triangular pyramid base surfaces within each lobe-shaped sub-region, generating a cable-stayed network; to calculate the local impedance value for each cross node in the cable-stayed network, the local impedance value is obtained by adding the level component and the distance component, where the level component is calculated according to the level sequence number of the level where the cross node is located, and the distance component is calculated according to the spatial distance between the cross node and the driving base point; to summarize all local impedance values, a deformation modulation factor is obtained, and the command skeleton can be derived by using the deformation modulation factor to obtain the corrected command skeleton;

[0016] The sampling module is used to obtain a distributed data probe for player instances within the game server based on the dynamic placeholders and scope labels in the corrected command skeleton; and to perform non-intrusive sampling on the set of player instances within the game server that satisfy the scope labels using the distributed data probe to construct a transient data mirror layer.

[0017] The update module is used to instantiate the data modification logic corresponding to the modified command skeleton in the transient data mirror layer if the operation type carried by the derivable command skeleton is batch modification, update the data mirror node to the target node, and complete the batch data change of the target player set; if it is batch query, the transient data mirror layer is used as the query result.

[0018] The above-described solution of the present invention has at least the following beneficial effects:

[0019] This invention breaks down operational semantics into standardized mutually exclusive operation primitives, matches pre-defined command paradigms, and generates derivable command skeletons. This eliminates reliance on hard-coded scripts, avoids repetitive development and adaptation for similar operational needs, improves the reusability and configuration efficiency of operational commands, and reduces operational and development costs. A dynamic correction mechanism is constructed by extracting feature pinpoints, constructing an outward-convex star-cone shield and a cable-stayed network, quantifying the deformation modulation factor, and correcting the command skeleton. This automatically constrains the boundaries and parameter ranges of operational commands, effectively avoiding command execution deviations caused by human configuration oversights or misunderstandings of requirements, thus improving the accuracy of command generation. A transient data mirror layer isolated from the original data storage is constructed. Batch operations are first verified and executed in the mirror layer, avoiding pollution caused by directly manipulating real online data, reducing the risks of misoperation and subsequent repair costs. The probe sampling strategy and command scope can adaptively adjust with the deformation modulation factor, achieving matching between command logic and player data sampling, balancing operational execution efficiency and data positioning accuracy, reducing the impact of operational operations on game server operation, and optimizing the player experience. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating the configurable generation and processing method for game operation management instructions provided in an embodiment of the present invention.

[0021] Figure 2 This is a schematic diagram of a configurable generation and processing system for game operation management instructions provided in an embodiment of the present invention.

[0022] Figure 3 This is a schematic diagram of command fragment semantic decomposition and paradigm matching provided by an embodiment of the present invention.

[0023] Figure 4 This is a statistical diagram of the construction of the triangular pyramid base and the convex star cone cover provided in the embodiments of the present invention.

[0024] Figure 5 This is a statistical chart of non-invasive sampling probe coverage and mirror layer construction quality provided by an embodiment of the present invention. Detailed Implementation

[0025] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0026] like Figure 1 As shown, embodiments of the present invention propose a configurable generation method for game operation management instructions, the method comprising the following steps:

[0027] Step 1: Respond to the operation event from the operation terminal, decompose the operation semantics in the operation event into multiple mutually exclusive operation primitives to form an order fragment sequence. The order fragment sequence is composed of multiple mutually exclusive operation primitives in sequence. Each mutually exclusive operation primitive contains a scope label, a data variant type, and a set of constraints. The order fragment sequence is compared with the pre-set order template library for features, a matching order paradigm is selected, and the matching order paradigm is instantiated into a derivable order skeleton carrying dynamic placeholders. The derivable order skeleton refers to an instruction skeleton with a fixed structure and configurable parameters obtained by retaining fixed execution logic and replacing variable parameters with dynamic placeholders.

[0028] Step 2: Extract three feature pins from the derivable command skeleton and determine the driving base point. The three feature pins are respectively taken from the first byte of the template feature code in the command template library, the middle check field of the scope label in the derivable command skeleton, and the operation depth mark in the data variant type in the derivable command skeleton. Extend the edges in three orthogonal directions with the corresponding driving base point as the vertex to form a triangular pyramid base surface. Then, with the corresponding driving base point as the center, copy and scale the triangular pyramid base surface outward layer by layer along the normal direction of the triangular pyramid base surface to form a multi-layer nested convex star cone cover.

[0029] Step 3: Perform radial lobing operation on the convex star cone cover, that is, cut the base surface of each layer of triangular pyramid into three lobe-shaped sub-regions along the extension direction of each edge from the driving base point; in each lobe-shaped sub-region, staggered cross lines are made on the corresponding edges of two adjacent layers of triangular pyramid bases to generate a cable-stayed network; calculate the local impedance value for each cross node in the cable-stayed network, the local impedance value is obtained by adding the level component and the distance component, where the level component is calculated according to the level number of the level in which the cross node is located, and the distance component is calculated according to the spatial distance between the cross node and the driving base point; summarize all local impedance values ​​to obtain a deformation modulation factor, and use the deformation modulation factor to correct the derived command skeleton to obtain the corrected command skeleton;

[0030] Step 4: Based on the dynamic placeholders and scope labels in the corrected command skeleton, obtain a distributed data probe for player instances within the game server; use the distributed data probe to perform non-intrusive sampling on the set of player instances within the game server that satisfy the scope labels, and construct a transient data mirror layer.

[0031] Step 5: If the operation type carried by the derivable command skeleton is batch modification, then the data modification logic corresponding to the modified command skeleton is instantiated in the transient data mirror layer, the data mirror node is updated to the target node, and the batch data change of the target player set is completed; if it is batch query, then the transient data mirror layer is used as the query result.

[0032] In this embodiment of the invention, operational semantics are decomposed into standardized mutually exclusive operation primitives, matched with pre-defined command paradigms, and a derivable command skeleton is generated. This eliminates the reliance on hard-coded scripts, avoids repeated development and adaptation for similar operational needs, improves the reusability and configuration efficiency of operational commands, and reduces operational and development costs. A dynamic correction mechanism is constructed by extracting feature pinpoints, constructing an outward-convex star-cone shield and a cable-stayed network, quantifying and calculating deformation modulation factors, and correcting the command skeleton. This automatically constrains the scope and parameter range of operational commands, effectively avoiding command execution deviations caused by human configuration oversights or misunderstandings of requirements, and improving the accuracy of command generation. A transient data mirror layer isolated from the original data storage is constructed. Batch operations are first verified and executed in the mirror layer to avoid pollution caused by directly manipulating real online data, reducing the risk of misoperation and subsequent repair costs. The probe sampling strategy and command scope can be adaptively adjusted according to the deformation modulation factor to achieve matching between command logic and player data sampling, balancing operation execution efficiency and data positioning accuracy, reducing the impact of operational operations on game server operation, and optimizing the player experience.

[0033] In a preferred embodiment of the present invention, step 1 includes:

[0034] Step 100a: Respond to the operation event from the operation side, decompose the operation semantics in the operation event into multiple mutually exclusive operation primitives. Each operation primitive contains a scope label, data variant type, and a set of constraints, forming a command fragment sequence, specifically including:

[0035] Operations personnel submit batch operation requests through the game operation management platform's interface. For example, a request could be made to distribute five limited-edition Lunar New Year Lucky Bags to each eligible online player who is between level 60 and 80 and has participated in the Lunar New Year event within the past seven days. Upon receiving the request, the operation management platform encapsulates the request information into a unified operation event, triggering the configurable generation and processing flow of game operation management instructions. The system parses the complete operational semantics carried by the operation event layer by layer, identifying the operation target, operation action, operation conditions, and operation parameters in the operation request. The operation target is online players between level 60 and 80 who have participated in the Lunar New Year event within the past seven days; the operation action is distributing Lunar New Year Lucky Bags; the operation conditions are that the player is online and has a record of participating in the Lunar New Year event; and the operation parameters are that the item name is Lunar New Year Lucky Bag and the quantity to be distributed is five.

[0036] Using the smallest indivisible logical unit of operation as the decomposition standard, the overall operational semantics are divided into multiple mutually exclusive operation primitives that are independent, logically non-overlapping, and have no conflicting execution processes. Each mutually exclusive operation primitive contains a scope label, a data variant type, and a set of constraints. The scope label identifies the range of player instances affected by the operation primitive, the data variant type identifies the type of data change involved by the primitive, and the set of constraints limits the execution constraints of the operation primitive. In this scenario of distributing New Year's lucky bags in bulk, the overall operational semantics are divided into three mutually exclusive operation primitives, as follows: Operation primitive 1's scope label is players of level 60 to 80 who are online, its data variant type is item distribution, and its set of constraints includes a value adjustment range of 1 to 10 items, an execution time limit of 24 hours after the command is generated, and a concurrency rule that only one operational command is allowed to operate on the same player instance at the same time; Operation primitive 2's scope label is players who have participated in the New Year's activities within the past 7 days, and its data variant type... For activity-related tag reading, the constraint set includes a numerical adjustment range that does not involve numerical modification, an execution time limit that is valid for 24 hours after the command is generated, and a concurrency processing rule that read-only operations are allowed to be executed concurrently. The scope label of operation primitive 3 is the intersection of the player ranges corresponding to operation primitive 1 and operation primitive 2, the data variant type is item inventory deduction, and the constraint set includes a numerical adjustment range that the single deduction quantity does not exceed 1000, an execution time limit that is executed synchronously with operation primitive 1, and a concurrency processing rule that the same item SKU is executed globally serially for deduction. After the operation primitives are decomposed, the system sorts all the mutually exclusive operation primitives obtained from the decomposition according to the actual execution order of the operational semantics, and finally forms an ordered command fragment sequence. In this scenario, the command fragment sequence is operation primitive 1, operation primitive 2, and operation primitive 3 in sequence.

[0037] Step 100b: Extract the scope labels, data variant types, and constraint sets of each operation primitive in the command fragment sequence, and concatenate them sequentially into a temporary feature sequence, specifically including:

[0038] After the command fragment sequence is constructed, each mutex operation primitive in the sequence is traversed sequentially. The scope label, data variant type, and constraint set of each mutex operation primitive are extracted. The above three types of information are sequentially concatenated according to the order of the command fragment sequence to form a temporary feature sequence for feature matching. Let the combined feature of a single mutex operation primitive be the primitive feature. The scope label feature, data variant type feature, and constraint set feature are added sequentially to obtain the primitive feature. The command fragment sequence contains several mutex operation primitives. By concatenating all primitive features in sequence, a complete temporary feature sequence can be obtained, that is, temporary feature sequence = first primitive feature + second primitive feature + ... + last primitive feature.

[0039] Step 101b involves matching the temporary feature sequence bit-by-bit with the template feature codes corresponding to each command paradigm in the pre-defined command paradigm library. If a completely identical template feature code exists, the command paradigm corresponding to that template feature code is determined as the matching command paradigm. Specifically, this includes:

[0040] Extract the scope label, data variant type, and constraint set of each operation primitive in the command fragment sequence, and concatenate them sequentially into a temporary feature sequence; for the i-th operation primitive, let SL i DT is the binary feature encoding corresponding to the scope label. i CC is the binary feature encoding corresponding to the data variant type. i To encode the hash digest corresponding to the set of constraints, the combined feature F of individual operation primitives is... i =SL i +DT i +CC i If a facility allows a fragment sequence to contain N operational primitives, then the temporary characteristic sequence TF = F1 + F2 + ... + F N In this embodiment, N=3, and the temporary feature sequence is formed by sequentially concatenating the combined features of three operational primitives. The temporary feature sequence TF is matched bit by bit with the template feature codes corresponding to each command paradigm in the pre-set command template library. The pre-set command template library is constructed by the system based on historical operational data. Specifically, the system extracts samples from the historical operational instruction set, extracts the scope label, data variant type, and constraint set for each historical operational instruction according to the operational primitive decomposition method, and calculates its combined features according to the above feature encoding rules.

[0041] Cluster analysis is performed on the combined feature sequences corresponding to all historical operational instructions. Historical instructions with identical binary and hash digest codes, consistent lengths, and one-to-one field correspondences in their combined feature sequences are grouped into the same cluster. Each cluster corresponds to a type of instruction pattern with a fixed structure, consistent execution logic, and the same type of filtering conditions. For each cluster, a paradigm is extracted, retaining the fixed execution logic, field structure, and data processing flow common to all instructions within the cluster, while removing parameter items that only vary with the scenario. This forms the standard command paradigm corresponding to this type of instruction, and the combined feature sequence corresponding to this paradigm is used as a unique template feature code, stored in the pre-set command template library. Simultaneously, the pre-set command template library incorporates industry-standard operational instruction templates with fixed structures during the initialization phase. These include basic paradigms such as batch item distribution based on a continuous level range from level 1 to 150, batch modification of player attributes based on online status, and player data querying based on activity participation records. Each basic paradigm corresponds to a unique template feature code, ensuring that common operational needs are covered from the initial state. During continuous system operation, if the newly generated temporary feature sequence cannot achieve a complete bit-by-bit match with any of the existing template feature codes in the template library, the instruction is determined to be a new type of operational instruction mode. The system automatically uses the temporary feature sequence as the new template feature code, saves the corresponding execution structure as a new standard command paradigm, and adds it to the template library, thereby realizing the adaptive expansion and updating of the template library.

[0042] Each standard command paradigm in the pre-set command template library is bound to a unique template feature code. The encoding length, encoding format, and field segmentation rules of the template feature code are completely consistent with the temporary feature sequence generated by the current operation command. The temporary feature sequence corresponding to the current operation command is compared bit-by-bit with the template feature code of each standard command paradigm in the template library. Each bit is checked for numerical equality. A match is considered successful only when all bits of the temporary feature sequence are completely identical to a template feature code, and the standard command paradigm corresponding to that template feature code is determined as the matching command paradigm for this operation command. In this scenario of bulk distribution of New Year's lucky bags, the temporary feature sequence is completely identical bit-by-bit to the template feature code of the multi-condition filtered item bulk distribution paradigm in the pre-set command template library. Therefore, this multi-condition filtered item bulk distribution paradigm is determined as the matching command paradigm.

[0043] Step 102b involves retaining the fixed fields in the matching command paradigm and replacing the variable parts of the matching command paradigm with dynamic placeholders to obtain a derivable command skeleton, specifically including:

[0044] After determining the matching command paradigm, the fields within the paradigm are structurally differentiated, categorizing them into two types: fixed-structure fields and variable-parameter fields. Fixed-structure fields are the common and immutable parts of this command paradigm, including command execution flow, data read / write order, concurrency control rules, scope intersection calculation logic, and data mirroring layer calling methods. These fields are completely preserved by the system without any modification. Variable-parameter fields are parameters that adjust according to specific operational scenarios. These include configurable settings such as player level filtering limits (60-80), online status determination (real-time online status), activity participation time range (within the past 7 days), item distribution quantity (5 items), execution duration (24 hours), numerical adjustment threshold (1-10 items per distribution), and player instance filtering intersection rules (multiple conditions must be met simultaneously). After identifying all variable-parameter fields, each type of variable parameter is uniformly replaced with a uniquely identified dynamic placeholder. Different types of variable parameters correspond to different types of dynamic placeholders. By retaining fixed structure fields and replacing variable parameter fields with corresponding dynamic placeholders, a derivable command skeleton with a fixed structure and configurable parameters is ultimately generated.

[0045] This embodiment eliminates the problem of script logic duplication between different operational needs by atomically decomposing operational semantics into mutually exclusive operation primitives. Each operation primitive's scope label, data variant type, and constraint set are independent, avoiding instruction conflicts caused by logical overlap. By comparing the command fragment sequence with a pre-set command template library, standardized generation of operational instructions is achieved, eliminating the need for developers to rewrite adaptation scripts each time. The dynamic placeholder mechanism allows the same command paradigm to adapt to different operational parameters, improving instruction reusability and reducing operational and development costs.

[0046] In a preferred embodiment of the present invention, step 2 includes:

[0047] Step 200a: Locate three feature pins distributed at different logical levels from the derivable command skeleton. The first feature pin is taken from the header byte of the template feature code belonging to the command template library in the derivable command skeleton. The second feature pin is taken from the middle check field of the scope label in the derivable command skeleton. The third feature pin is taken from the operation depth marker within the data variant type in the derivable command skeleton. Specifically, this includes:

[0048] From the generated derivable command skeleton, corresponding feature pins are located and extracted at three different logical levels. These three feature pins are independent of each other and correspond to the core structural fields of the command skeleton. The first feature pin is taken from the first byte of the template feature code to which the derivable command skeleton belongs. This first byte is the starting identifier of the template feature code, directly corresponding to the basic type code of the command paradigm. It can uniquely distinguish whether the current operational command belongs to a specific paradigm category such as batch distribution of items under multi-condition filtering, batch adjustment of online player attributes, batch query of activity participation records, or batch reset of data of violating players, thus pinpointing the structured source of the command from its root. The second feature pin is taken from the middle verification field of the scope label in the derivable command skeleton. This verification field is the core verification bit of the scope range, carrying the player level filtering range. The key boundary constraints, such as real-time online status determination rules, activity participation time statistics windows, and player instance intersection calculation rules, specifically correspond to three core limiting conditions in this scenario: the level range of 60 to 80, real-time online status determination, and participation records of the Spring Festival activities in the past 7 days. These conditions characterize the actual effective boundary of the command. The third feature pin is taken from the operation depth marker within the variant type of the derivable command skeleton data. This marker is divided into four levels according to the data operation type: read-only query (value 1), minor numerical adjustment (value 2), moderate resource distribution (value 3), and heavy data coverage (value 4). In this scenario of batch distribution of Spring Festival lucky bags, the operation depth marker is specifically valued at 2, corresponding to the minor numerical adjustment and item resource distribution levels, directly reflecting the extent of modification of game player data and potential data risks by the operation command. By extracting feature pins at three independent logical levels—paradigm structure layer, scope constraint layer, and data operation layer—the three core attributes of the operation command—paradigm source, scope boundary, and execution intensity, can be comprehensively covered.

[0049] Step 201a involves mapping the three feature pin points to a pre-defined 3D reference coordinate system to obtain three projected coordinate points. The orthocenter coordinates of the triangle formed by the three projected coordinate points are calculated as the first pivot point, and the incenter coordinates of the triangle are calculated as the second pivot point. Specifically, this includes mapping the three feature pin points sequentially to the pre-constructed 3D reference coordinate system according to their respective numerical lengths, checksum information, and operation depth levels. Each feature pin point is converted into a unique 3D projected coordinate point, and the three projected coordinate points are denoted as vertices. ,vertex ,vertex The three projected coordinate points form a stable planar triangle within the same plane. Based on this triangle, the orthocenter and incenter coordinates are calculated separately, forming two pivot points with different functions. The orthocenter of the triangle is the intersection of the three altitudes, and its coordinates are obtained by solving the equations of the altitudes corresponding to the three projected coordinate points simultaneously; for the... The triangle formed has an altitude on any side that satisfies the vector perpendicularity constraint, for example, passing through the vertex. And perpendicular to the edge The equation of the elevation line is: (x-x1)(x3-x2)+(y-y1)(y3-y2)+(z-z1)(z3-z2)=0;

[0050] Similarly, we can write out the expression that passes through the vertex. Perpendicular to the edge Passing through the vertex Perpendicular to the edge The equations of the three altitudes are solved simultaneously, and the common solution is the orthocenter coordinate. The orthocenter, as the intersection of the three altitudes of the triangle, is geometrically the orthogonal convergence center of the sides opposite the vertex. It directly reflects the overall constraint center and distribution centroid of the three feature pins in three-dimensional space, maximizing the offset of structural offsets caused by deviations in the values ​​of a single feature pin. Therefore, it is suitable as a benchmark for high-risk data operations and is used as the first pivot point. The incenter of the triangle is the intersection of the three angle bisectors, and its coordinates are calculated by weighting the lengths of the sides opposite the vertices of the triangle, i.e., OI = In the formula, OI represents the incenter coordinates of the triangle, i.e., the second pivot point; a represents the vertex. Opposite edge The length of b; b is the vertex. Opposite edge The length of the vertex; c is the vertex. Opposite edge The length of the axis is more closely aligned with the balanced distribution characteristics of a triangle, making it suitable as a benchmark for low-risk read-only operations; therefore, it is used as the second pivot point.

[0051] Step 202a involves detecting the operation type carried by the derivable command skeleton. If the operation type is batch modification, the first pivot point is determined as the driving base point; if the operation type is batch query, the second pivot point is determined as the driving base point. Specifically, this includes identifying the operation type carried by the derivable command skeleton, distinguishing between batch modification and batch query scenarios, and pre-setting quantified operation risk level values ​​for both types of operations. The risk level for batch modification is assigned a level 3, and the risk level for batch query is assigned a level 1. Batch modification operations directly change player items, attributes, and other game data, posing risks such as data mismodification and exceeding limits. Therefore, a more stable and overall constrained benchmark is needed for driving the operation, and the first pivot point (orthocenter coordinate) is determined as the driving base point. Batch query only performs read-only sampling of game data, eliminating the risk of data tampering, and has a lower risk level. It focuses more on range balance and sampling uniformity, and therefore the second pivot point (orthocenter coordinate) is determined as the driving base point. The corresponding driving base point is selected based on the operation risk level.

[0052] Step 200b involves extending three edges in three mutually orthogonal directions, with the driving base point as the vertex, according to a step distance equal to the Euclidean distance between the first and second pivot base points. Connecting the end points of the three edges in pairs to form a triangular pyramid base surface specifically includes: using the determined driving base point as the vertex, extending three edges in three mutually orthogonal directions (X-axis, Y-axis, and Z-axis) of the three-dimensional coordinate system, with the edge extension length using a uniform step distance calculated from the Euclidean distance between the first and second pivot base points; after the three edges extend to their ends, connecting the three end points in pairs to form a closed triangular plane, which, together with the driving base point, constitutes a regular triangular pyramid base surface.

[0053] Step 201b: Centered on the driving base point, copy and scale the triangular pyramid base surface layer by layer outward along the normal direction of the base surface. After each layer is copied and scaled, calculate the cross product sign of the adjacent edge vectors of the three vertices of the corresponding layer's triangular pyramid base surface. If the three cross product signs are the same, keep the corresponding layer's base surface. If any cross product sign is different, apply a fine-tuning offset to the corresponding layer's base surface until all vertices meet the same sign condition, forming a multi-layered nested convex star-shaped cone cover. The vertical spacing between two adjacent layers of triangular pyramid base surfaces is equal to the step size distance. Specifically, this includes:

[0054] Centered on the driving base point, the triangular pyramid base surface is copied layer by layer outward along the normal direction, and scaled by a fixed scaling factor of 1.2. The vertical spacing between adjacent base surfaces remains consistent with the step size distance in step 200b, forming a multi-layer nested structure. After each base surface is generated, the cross product sign of the adjacent edge vectors at the three vertices of that layer is calculated, i.e., let the cross product sign of two adjacent edge vectors be... and Then the cross product result = × The regularity of the base surface shape is determined by the consistency of the positive and negative signs of the cross product results. If all three cross product signs are the same, it indicates that the base surface shape of that layer is uniform and the orientation is consistent, and it can be directly retained. If any cross product sign is different, it indicates that the base surface is twisted or the orientation is offset, which will cause errors in subsequent impedance calculation and command calibration. Therefore, a fine-tuning offset is applied to the vertex of that base surface layer, and the cross product signs are recalculated until all signs are the same. Through layer-by-layer verification and calibration, a multi-layered, uniformly expanded, and regularly shaped convex star-cone dome is finally formed.

[0055] This embodiment extracts feature pins from different logical levels of the command skeleton, comprehensively characterizing the command structure, scope of action, and operational intensity, avoiding judgment bias caused by single features. Through three-dimensional coordinate mapping and triangle geometric center calculation, abstract command features are transformed into quantifiable spatial base points, making command calibration logic more standardized and reproducible, reducing fuzzy judgments. Different driving base points are selected according to different types of batch modification and batch query to achieve adaptive matching of the command structure, enhancing the targeting and stability of operational command execution. A triangular pyramid base surface is constructed using the pivot base point spacing as a uniform step size to ensure the overall geometric structure is dimensionally consistent, avoiding logical anomalies caused by parameter confusion. Cross product sign verification and offset fine-tuning ensure the orderly and regular structure of each layer of the convex star-cone shroud.

[0056] In a preferred embodiment of the present invention, step 3 includes:

[0057] Step 300: Starting from the driving base point, cut each layer of triangular pyramid base surface into three independent petal-shaped sub-regions along the extension direction of each edge; within each petal-shaped sub-region, staggered cross-connections are made on corresponding edges of adjacent two layers of triangular pyramid base surfaces to generate a set of cable-stayed nets. Each cross node in the cable-stayed net corresponds to a layer number and a spatial distance value, wherein the layer number represents the layer number of the convex star cone cover where the corresponding cross node is located, and the spatial distance value represents the Euclidean distance between the corresponding cross node and the driving base point; multiply the layer number by a preset layer weight coefficient to obtain the layer components, specifically including:

[0058] Starting from the established driving base point, and extending along the three edges formed during the initial construction of the triangular pyramid base, the entire convex star-shaped dome is divided into three independent, non-overlapping petal-shaped sub-regions. The spatial extent of these three sub-regions is as follows: a conical space formed by the driving base point as the vertex, the first edge, and 30-degree azimuth angles on either side; a conical space formed by the driving base point as the vertex, the second edge, and 30-degree azimuth angles on either side; and a conical space formed by the driving base point as the vertex, the third edge, and 30-degree azimuth angles on either side. Each petal-shaped sub-region completely covers all layers of the base surface corresponding to its edge, from the inner to the outer layer. Within each petal-shaped sub-region, corresponding edges on adjacent triangular pyramid base surfaces are connected using a staggered intersecting method. The intersection nodes of adjacent edges are evenly distributed, and after sequential connection, a regular cable-stayed network is formed. Each intersection node in the cable-stayed network corresponds to two quantization parameters: a layer number and a spatial distance value. The layer number is the layer number of the outer convex star-shaped shield where the intersection node is located, increasing sequentially from the bottom layer where the driving base point is located. The spatial distance value is the Euclidean distance between the intersection node and the driving base point. After parameter extraction, the layer component of each intersection node is calculated, i.e., layer component = layer number × preset layer weight coefficient. In this embodiment, the preset layer weight coefficient is 0.3. The larger the layer number, the farther the spatial location of the intersection node is from the driving base point, and the corresponding layer component value also increases linearly. This reflects that the outer structure has a stronger constraint on the expansion range of the instruction, while the inner structure has a more concentrated and stricter constraint on the instruction execution logic, thus intuitively reflecting the difference in the degree of influence of different structural layers in the instruction calibration process.

[0059] Step 301: Multiply the reciprocal of the spatial distance value by a preset distance weighting coefficient to obtain the distance component. Add the hierarchical component to the distance component to obtain the local impedance value of the corresponding intersection node. Specifically, for each intersection node in the cable-stayed network, first calculate its distance component, i.e., distance component = (1 ÷ spatial distance value) × preset distance weighting coefficient. In this embodiment, the preset distance weighting coefficient is 0.7. The distance component is multiplied by the reciprocal of the spatial distance value and the weighting coefficient to reflect the constraint difference caused by the distance between the node and the driving base point. That is, the closer the intersection node is to the driving base point, the smaller the spatial distance value, the larger its reciprocal, and the larger the calculated distance component value, indicating that the node has a tighter constraint on the deformation of the command skeleton; conversely, the farther the intersection node is from the driving base point, the larger the spatial distance value, the smaller its reciprocal, and the smaller the distance component value, indicating that the node has a looser constraint on the deformation of the command skeleton. Add the hierarchical component and the distance component corresponding to the same intersection node to obtain the local impedance value of the node, i.e., local impedance value = hierarchical component + distance component.

[0060] The local impedance value integrates the dual constraints of the hierarchical component and the distance component. By superimposing the two, the constraint strength is quantitatively characterized, thus comprehensively reflecting the constraint strength of the spatial node on the deformation of the command skeleton. The hierarchical component reflects the constraint difference of the structural hierarchy in which the node is located (outer nodes have stronger constraints), while the distance component reflects the constraint difference of the distance between the node and the driving base point (nearer nodes have stronger constraints). The higher the sum of the two values, the more obvious the constraint effect of the node on the deformation of the command skeleton, and the stronger the constraint effect; the lower the value, the weaker the constraint effect of the node on the deformation of the command skeleton, and the looser the constraint effect.

[0061] Step 302: Summarize the local impedance values ​​of all cross nodes and calculate a deformation modulation factor using a weighted summation method; extract the original filling threshold of the dynamic placeholders in the derivable command skeleton and record it as the value to be transformed; use the deformation modulation factor as the input variable of the hyperbolic tangent function and calculate the hyperbolic tangent output value; multiply the value to be transformed by the hyperbolic tangent output value to obtain the transformed value; replace the original filling threshold of the dynamic placeholders in the derivable command skeleton with the transformed value to obtain the corrected command skeleton, specifically including:

[0062] The local impedance values ​​of all intersection nodes in the cable-stayed network are summarized, and the global deformation modulation factor is calculated using a weighted summation method. That is, deformation modulation factor = sum of local impedance values ​​of all intersection nodes ÷ total number of intersection nodes. The original filling threshold of the dynamic placeholders in the derivable command skeleton is extracted. This original filling threshold is determined by the actual business parameters and constraint set in the operation command. In this scenario of distributing New Year's lucky bags in batches, the operation requirement sets the number of items distributed per player to 5, and the constraint set limits the range of single item distribution values ​​to 1 to 10. This requirement parameter is within the constraint range and has no superimposed correction term; therefore, the original filling threshold is directly taken as 5, and it is recorded as the value to be transformed. The deformation modulation factor is used as the input independent variable of the hyperbolic tangent function, and the hyperbolic tangent output value is calculated. That is, hyperbolic tangent output value = tanh( ),in This is the deformation modulation factor. The transformed value = original fill threshold × hyperbolic tangent output value. The transformed value is used to replace the original fill threshold of the dynamic placeholders in the derived command skeleton, thus completing the adaptive correction of the command skeleton and finally obtaining a corrected command skeleton with a more accurate structure and more reasonable constraints.

[0063] This embodiment constructs a cable-stayed network through petal segmentation and staggered intersections, transforming abstract command constraints into a quantifiable spatial structure. This makes the command calibration process more intuitive and calculable, avoiding logical ambiguity. Calculating local impedance values ​​by integrating both hierarchical and distance factors more realistically reflects the constraint strength of different locations on the command execution range, improving calibration accuracy. Using weighted summation to obtain the deformation modulation factor and performing nonlinear transformation through the hyperbolic tangent function effectively suppresses the influence of extreme values, making the threshold adjustment of dynamic placeholders smoother and more stable. Adaptive correction of the command skeleton based on spatial structure calculation results automatically corrects parameter deviations in operational commands, reduces manual configuration errors, and avoids abnormal batch operation ranges or data erroneous modifications.

[0064] In a preferred embodiment of the present invention, step 4 includes:

[0065] Step 400: Extract the transformed values ​​of the dynamic placeholders and the original range values ​​of the scope labels from the corrected command skeleton; fuse and map the transformed values ​​with the original range values ​​of the scope labels to generate a multi-dimensional addressing vector. Specifically, this includes: extracting two types of core key parameters from the corrected command skeleton. One type is the transformed values ​​of the dynamic placeholders after adaptive correction following the geometric constraints and impedance calculations mentioned above. The other type is the original range value corresponding to the scope label. Specifically, the original range value corresponding to the scope label includes three explicit limiting conditions: the player's level range is fixed at 60 to 80, the player's current status is real-time online, and the account has a record of participating in the Lunar New Year event in the past 7 days. These three limiting conditions together constitute the original range value of the scope. The two types of parameters (transformed values ​​and original scope range values) are fused and mapped according to the pre-defined paradigm structure of the command skeleton. First, the original scope range values ​​are mapped as the basic components of the vector. Then, the transformed values ​​of the dynamic placeholders are used as supplementary components and fused in sequence. The originally scattered and independent business parameters (transformed values) and filtering conditions (original scope range values) are organized into a set of ordered quantized vectors. This vector is the multi-dimensional addressing vector used to locate the target player.

[0066] In this multidimensional addressing vector, each component independently corresponds to a specific business parameter or filtering condition. The component corresponding to the player level filtering condition uses the range of level 60 to 80 as a quantitative representation; the component corresponding to the player's online status uses 1 to represent real-time online and 0 to represent offline, directly reflecting the player's current status; the component corresponding to the New Year's event participation record uses 1 to represent participation record and 0 to represent no participation record, clearly distinguishing the target players who meet the conditions; and the component corresponding to the dynamic placeholder uses the transformed value as the quantitative basis, directly reflecting the specific magnitude of the execution parameter. All components are independent of each other, have clear division of labor, and together constitute a complete multidimensional addressing vector.

[0067] Step 401: Input the multidimensional addressing vector into a preset probe generator to generate a distributed data probe. The distributed data probe includes batch addressing logic and a non-intrusive sampling strategy. The sampling step size of the distributed data probe is adaptively scaled by a deformation modulation factor to obtain an adaptively scaled sampling step size, specifically including:

[0068] The probe generator is pre-built using a layered modular structure, consisting of four core functional modules: a vector parsing module, an addressing logic compilation module, a sampling strategy configuration module, and a runtime environment adaptation module. These four modules are interconnected and work collaboratively to form a complete probe generation system. This ensures that the generated probes have independent execution capabilities and do not affect the core game operations or consume core thread resources. Specifically, the vector parsing module receives multi-dimensional addressing vectors and decomposes them into filtering conditions and execution parameters; the addressing logic compilation module generates batch positioning rules based on the parsing results; the sampling strategy configuration module defines non-intrusive sampling specifications; and the runtime environment adaptation module matches the game server's runtime environment to ensure compatibility between the probes and the game's operating rhythm. After the multi-dimensional addressing vectors (including conditions such as player level 60-80 filtering, real-time online status, and participation in activities within the past 7 days) are completely input into the probe generator, the generator first uses the vector parsing module to decompose the key parameters in the vectors one by one to clarify the target player filtering criteria. Then, the addressing logic compilation module generates parallel positioning logic, ultimately generating distributed data probes with independent execution capabilities. This distributed data probe incorporates a non-intrusive sampling strategy. The core sampling rules are as follows: all sampling operations do not modify the original data or block game operation; the sampling step size adopts a dynamic adaptation mode, adjusted by a deformation modulation factor, i.e., adaptive sampling step size = basic sampling step size × deformation modulation factor, where the basic sampling step size is fixed at 100 milliseconds, and the deformation modulation factor dynamically changes according to the strength of the instruction constraint, ultimately controlling the adaptive sampling step size range between 50 and 150 milliseconds; the sampling range (data range) only collects core data related to operational operations, specifically including three types of core data: player item inventory, level information, and activity participation records, without collecting irrelevant and redundant data to reduce data transmission volume; the sampling frequency follows the adaptive sampling step size, initiating a read-only data extraction once at corresponding intervals to avoid excessive system load caused by high-frequency sampling.

[0069] Step 402: Inject distributed data probes into the game server's runtime environment. The distributed data probes locate the memory addresses of all player instances that satisfy the scope label according to batch addressing logic. For each located memory address, initiate a read-only data extraction operation according to an adaptively scaled sampling step size, copying a data snapshot from the original data storage of each player instance. Aggregate all data snapshots into a transient data mirror layer isolated from the original data storage. Each data mirror node in the transient data mirror layer maintains a logical mapping relationship with the real-time state of the corresponding player instance, specifically including:

[0070] Once the probe is generated, it is immediately injected into the game server runtime environment as a dynamically loaded component. Relying on built-in batch addressing logic, it traverses and searches the game server's memory space in parallel to locate the memory addresses of all player instances that meet the conditions of being level 60-80, online in real-time, and participating in the Lunar New Year event within the past 7 days. Following an adaptive sampling step size, it sequentially initiates data extraction operations for each target player in a non-blocking manner. Each extraction uses read-only mode, completely copying the player's item inventory quantity, level matching identifier, Lunar New Year event participation record, online status marker, and other relevant business data. It does not read redundant data unrelated to the current operation, and only generates one independent and complete data snapshot for each player. The entire collection process does not perform any write operations, does not modify the original data, does not preempt the game's core business threads, and does not affect the player's normal game interaction, network synchronization, or logical operations. Simultaneously, the probe adheres to non-intrusive sampling specifications, passively reading data without interfering with the game's core business processes or triggering any in-game logical events. After all data collection is completed, the system aggregates, sorts, and normalizes the data snapshots corresponding to all players, constructing a transient data mirror layer that is completely isolated from the original data storage. If the current operation type is batch modification, such as sending New Year's lucky bags to target players in batches, the data snapshot modification operation is first performed in this independent transient data mirror layer. After verification, only the changed fields are written back to the original data storage through difference comparison. If it is a batch query operation, the transient data mirror layer is directly output as the query result.

[0071] This embodiment unifies and integrates filtering conditions by generating multi-dimensional addressing vectors, making player location logic more standardized and accurate, effectively avoiding the problem of missing or misselecting target players during batch operations. Adaptive adjustment of the sampling step size using deformation modulation factors dynamically balances acquisition efficiency and system load based on the strength of instruction constraints, ensuring stable game server operation. A transient data mirror layer isolated from the original data is constructed, enabling a simulation-before-execution operation mode, fundamentally avoiding the risk of online player data being mistakenly modified due to instruction errors.

[0072] In a preferred embodiment of the present invention, step 5 includes:

[0073] Step 500: Determine the operation type carried by the derivable command skeleton. If the operation type is batch modification, load the data modification logic described in the corrected command skeleton onto each data mirror node of the transient data mirror layer. Execute the change operation defined by the data modification logic on each data mirror node to obtain the updated data mirror node, which is denoted as a candidate data mirror node. Specifically, this includes:

[0074] The system further analyzes and determines the operation type carried by the derivable command skeleton. When a batch modification operation is identified, the fully defined data modification logic in the corrected command skeleton is loaded into each data mirror node within the transient data mirror layer. In this New Year's Lucky Bag distribution scenario, the data modification logic specifically involves adding a corresponding number of New Year's Lucky Bag items to the player's existing item quantity, and simultaneously updating the item inventory count and the event reward distribution marker. Within the transient data mirror layer, which is completely isolated from the original data, the system performs the operation of accumulating the number of Lucky Bags and setting the distribution status for each data mirror node. After the operation is completed, the updated data mirror node is obtained and uniformly marked as a candidate data mirror node. The entire process is executed in a closed loop only within the isolated mirror layer and does not touch the original data storage of the game server.

[0075] Step 501: Perform a field-by-field differential comparison between each candidate data mirror node and its corresponding original data mirror node to generate a differential record set. Only fields that have changed in the differential record set are flushed back to the corresponding field positions of the player instances in the original data storage of the game server via the reverse synchronization channel, completing the batch data change for the target player instance set. If the operation type is a batch query, the transient data mirror layer is directly output as the query result, specifically including:

[0076] Each candidate data mirror node is compared with its corresponding original data mirror node before modification using a fine-grained, field-by-field, byte-by-byte comparison. The comparison process employs a dual mechanism of byte-level precision hash verification and field value comparison to ensure no omissions or misjudgments. The core key fields for comparison include the item quantity field (such as the current holding value of Lunar New Year lucky bag items), attribute value fields (such as core attributes such as player level and experience points), activity status flag fields (such as a boolean flag indicating whether or not the Lunar New Year activity has been participated in), and reward distribution flag fields (such as the status flag indicating whether the lucky bag reward has been distributed). After the comparison is completed, only the field names, corresponding original values, and updated values ​​of fields that have changed or reversed in status are recorded. Fields that have not changed are directly filtered and do not participate in the subsequent synchronization process, thereby generating a lightweight and non-redundant set of difference records.

[0077] To ensure the security and independence of data rollback, the system establishes an independent reverse synchronization channel. This channel is completely physically isolated from the game server's regular business communication channels. The channel's hardware and network layers use a network link to connect the transient data mirror layer and the game server's original data storage, completely isolating it from public business networks such as player interaction and combat synchronization, thus avoiding network congestion or attack interference between channels. The channel protocol and interface layer use a custom low-latency, binary synchronization protocol, transmitting only the changed field information in the difference record set and not transmitting any irrelevant business data. The interface layer has a preset whitelist verification mechanism, allowing only authenticated probes to initiate communication with the mirror layer nodes, preventing unauthorized data writing. When the channel performs logic-level rollback, the probe, according to the field order of the difference record set, uses an atomic method of single field and single request to roll back the changed fields one by one to the corresponding field storage location of the player instance in the game server's original data storage. Each rollback carries a field verification code. If the system identifies the operation type as a batch query, then no data modification or synchronous write operation is required. The system will directly output the transient data mirror layer with complete structure and consistent data as the final query result. Before output, the mirror layer data will be checked for consistency, such as player ID matching and field integrity verification.

[0078] This embodiment only performs incremental reverse flushing on the differing fields, reducing data synchronization, lowering network and database pressure, and improving the execution efficiency of batch data changes. The non-intrusive sampling and read-only extraction strategy does not affect normal game operation, while supporting both batch modification and batch query scenarios to meet diverse game operation needs. Mirror nodes maintain a logical mapping with the original player instances, ensuring data consistency while achieving operational security isolation, thus improving the security of operational command execution.

[0079] like Figure 2 As shown, embodiments of the present invention also provide a configurable generation and processing system for game operation management instructions, including:

[0080] The matching module is used to respond to operational events from the operation side. It decomposes the operational semantics in the operation event into multiple mutually exclusive operation primitives to form a command fragment sequence. The command fragment sequence is composed of multiple mutually exclusive operation primitives in sequence. Each mutually exclusive operation primitive contains a scope label, a data variant type, and a set of constraints. The command fragment sequence is compared with the pre-set command template library to select a matching command paradigm. The matching command paradigm is then instantiated into a derivable command skeleton carrying dynamic placeholders. The derivable command skeleton refers to an instruction skeleton with a fixed structure and configurable parameters obtained by retaining fixed execution logic and replacing variable parameters with dynamic placeholders.

[0081] The extraction module is used to extract three feature pins of the derivable command skeleton and determine the driving base point. The three feature pins are respectively taken from the first byte of the template feature code in the command template library, the middle check field of the scope label in the derivable command skeleton, and the operation depth mark in the data variant type in the derivable command skeleton. The edges are extended in three orthogonal directions with the corresponding driving base point as the vertex to form a triangular pyramid base surface. Then, the triangular pyramid base surface is copied and scaled outward layer by layer along the normal direction of the triangular pyramid base surface with the corresponding driving base point as the center to form a multi-layer nested convex star cone cover.

[0082] The correction module is used to perform radial lobing operations on the convex star cone cover, that is, to cut each layer of triangular pyramid base surface into three lobe-shaped sub-regions along the extension direction of each edge starting from the driving base point; to stagger and cross the corresponding edges of two adjacent layers of triangular pyramid base surfaces within each lobe-shaped sub-region, generating a cable-stayed network; to calculate the local impedance value for each cross node in the cable-stayed network, the local impedance value is obtained by adding the level component and the distance component, where the level component is calculated according to the level sequence number of the level where the cross node is located, and the distance component is calculated according to the spatial distance between the cross node and the driving base point; to summarize all local impedance values, a deformation modulation factor is obtained, and the command skeleton can be derived by using the deformation modulation factor to obtain the corrected command skeleton;

[0083] The sampling module is used to obtain a distributed data probe for player instances within the game server based on the dynamic placeholders and scope labels in the corrected command skeleton; and to perform non-intrusive sampling on the set of player instances within the game server that satisfy the scope labels using the distributed data probe to construct a transient data mirror layer.

[0084] The update module is used to instantiate the data modification logic corresponding to the modified command skeleton in the transient data mirror layer if the operation type carried by the derivable command skeleton is batch modification, update the data mirror node to the target node, and complete the batch data change of the target player set; if it is batch query, the transient data mirror layer is used as the query result.

[0085] It should be noted that this system is a system corresponding to the above method. All implementation methods in the above method embodiments are applicable to this embodiment and can achieve the same technical effect.

[0086] Experimental example:

[0087] This embodiment uses the operation and management system of a large-scale massively multiplayer online role-playing game (MMORPG) as the verification platform to perform full-process verification of game operation and management instructions generated based on configuration.

[0088] I. Experiment Overview

[0089] The experiment was conducted on a large-scale MMORPG operation and management platform. The game has over 32 million registered users and approximately 1.86 million daily active users (DAU). The operations team frequently needs to execute various batch operation commands, including but not limited to item distribution, attribute modification, account banning / unbanning, event registration, and currency adjustments. Existing operation command execution methods suffer from issues such as inconsistent semantic understanding, low efficiency of batch operations, high risk of accidental modifications, and poor traceability.

[0090] This experiment selected eight typical operational scenarios, covering two operation types: batch modification and batch query. Each scenario executed no fewer than 500 commands, for a total of 6840 commands executed. The experimental objective was to verify the comprehensive technical effectiveness of the configuration-based generation processing method proposed in this invention across four dimensions: command execution accuracy, execution efficiency, security isolation, and impact on player experience.

[0091] II. Experimental Conditions

[0092] The experimental platform is deployed on a dedicated server cluster for game operation and management, comprising 6 game server partitions (2 cross-server, 3 single-server, and 1 competitive server). The command template library contains 128 pre-built standardized templates, covering over 95% of the requirements for current operational scenarios. During the test, the total number of online player instances was approximately 3.18 million, involving a total of 2,860 data fields such as items, currency, attributes, and status.

[0093] In terms of hardware, the operation server consisted of four Dell PowerEdge R750xs rack-mount servers, each configured with two Intel Xeon Gold 6348 processors (28 cores, 56 threads, 2.6GHz), 512GB of DDR4-3200 memory, and a 3.84TB NVMe SSD RAID10 storage array. For the software environment, the operating system was CentOS 7.9 (Linux kernel 5.4), the database was a MySQL 8.0.35 master-slave cluster architecture, and the game engine was a self-developed engine version 4.2. Regarding experimental parameters, the command template library comprised 128 standardized templates, with a total of 6840 executed commands, covering eight typical operational scenarios (player banning, item distribution, attribute modification, experience adjustment, currency reset, server announcements, event configuration, and title granting). The test lasted for 30 days, during which approximately 3.18 million online player instances were observed.

[0094] III. Experimental Procedures and Results

[0095] Step 1: Semantic decomposition and paradigm matching of command fragments:

[0096] In response to operational events, the operational semantics are decomposed into multiple mutually exclusive operational primitives, forming a sequence of command fragments. Each operational primitive includes three dimensions: scope label, data variant type, and set of constraints. The sequence of command fragments is matched bit-by-bit with the template feature codes corresponding to each command paradigm in the pre-set command template library. If a completely identical template feature code exists, the corresponding command paradigm is selected, and the fixed fields are retained while the variable parts are replaced with dynamic placeholders, resulting in a derivable command skeleton.

[0097] The experiment performed fragment decomposition and paradigm matching on eight typical operational scenarios. The results showed that the paradigm matching accuracy of the fragment sequences all exceeded 95%, with the highest accuracy at 98.5% for the "title granting" scenario and the lowest direct hit rate from the template library at 88.5% for the "currency reset" scenario (due to the involvement of multiple subtypes, secondary matching was required). The skeleton instantiation success rate ranged from 97.2% to 99.6%, showing stable overall performance. The paradigm matching accuracy, direct hit rate from the template library, and skeleton instantiation success rate for the eight scenarios are shown in Table 1 and [Table data would be inserted here]. Figure 3 .

[0098] Table 1. Paradigm matching and skeleton instantiation results for each operational scenario.

[0099] Step 2: Construction of the triangular pyramid base and the convex star-shaped dome:

[0100] Three feature pins distributed at different logical levels are located from the derivable command skeleton. The first feature pin is taken from the header byte of the template feature code, the second feature pin is taken from the segment check field in the scope label, and the third feature pin is taken from the operation depth marker within the data variant type. These three feature pins are mapped to a preset three-dimensional reference coordinate system, and the orthocenter and incenter coordinates are calculated as pivot points. Batch modification operations select the orthocenter as the driving pivot point, and batch query operations select the incenter as the driving pivot point. Using the driving pivot point as the vertex, the edges are extended in three orthogonal directions according to the step size, forming a triangular pyramid base surface. This is then replicated and scaled layer by layer to form a multi-layered nested convex star-shaped cone.

[0101] The experiment was conducted at five levels based on instruction complexity. The results showed that for low-complexity instructions with a step size of only 3 primitives and 3 star-cone layers, the cross-product sign consistency reached 100%. For high-complexity instructions with a step size of 18 primitives and 14 star-cone layers, the cross-product sign consistency remained at 93.5%. The cross-product consistency for medium-complexity instructions (step size 8 primitives, 7 layers) was 98.6%, indicating that the fine-tuning offset mechanism of this invention can effectively maintain the correctness of geometric modeling even with increasing complexity. Specific data are shown in Table 2 and... Figure 4 .

[0102] Table 2. Construction results of triangular pyramid base surfaces and star cone-shaped enclosures at different complexity levels.

[0103] Step 3: Radial Lobe Splitting and Deformation Modulation Factor Correction:

[0104] A radial lobing operation is performed on the convex star-shaped dome, cutting the base surface of each layer of triangular pyramids into three lobe-shaped sub-regions. Corresponding edges of adjacent layers are then intersected and connected to generate a cable-stayed network. The local impedance value of each intersection node is obtained by adding the layer component (layer number × layer weight coefficient) and the distance component (reciprocal of spatial distance × distance weight coefficient). All local impedance values ​​are summarized, and a weighted summation is used to calculate the deformation modulation factor. A hyperbolic tangent transform is then performed on the filling threshold of the dynamic placeholders to obtain the corrected command skeleton.

[0105] The experiment tested the convergence process of the deformation modulation factor for three instruction types (batch modification, batch query, and mixed instruction). The batch query instruction converged the fastest, stabilizing at around 0.68 by the 10th round; the batch modification instruction converged to 0.92 by the 12th round; and the mixed instruction, which needs to process two operation types simultaneously, converged to 1.18 by the 15th round. All three instructions converged within 20 rounds, and the deformation modulation factor decreased to below the convergence threshold (0.05) or reached a stable value, indicating that the iterative correction mechanism of this invention can effectively adapt to the complexity of different instruction types.

[0106] Step 4: Non-intrusive sampling and construction of transient data mirroring layer:

[0107] Based on the dynamic placeholders and scope tags in the revised command skeleton, a distributed data probe is generated for player instances within the game server. The probe follows a non-intrusive sampling standard, passively reading data without modifying the original data or preempting core business threads. The distributed data probe is used to sample the set of player instances that satisfy the scope tags. The collected data snapshots are then uniformly aggregated, sorted, and formatted to construct a transient data mirror layer completely isolated from the original data storage.

[0108] The experiment deployed sampling probes in six game server partitions. Cross-server-1 (853,000 player instances) achieved a probe coverage of 99.2% and a mirror layer consistency of 99.8%; single-server-C (458,000 player instances) achieved a probe coverage of 99.3% and a consistency of 99.8%. The CPU impact on all game server partitions was less than 0.20%, with single-server-A having the lowest impact at only 0.08%, while competitive server-D, due to its high-frequency PVP logic, had a slightly higher impact at 0.18%. The results indicate that the non-intrusive sampling mechanism of this invention has almost no perceptible impact on normal game operation, and the mirror layer data maintains a high degree of consistency with the original data. Specific data are shown in Table 3 and... Figure 5 .

[0109] Table 3. Coverage of Non-Intrusive Sampling Probes and Mirror Layer Construction Quality for Each Game Server Partition

[0110] IV. Experimental Conclusions

[0111] The paradigm matching accuracy for all eight typical operational scenarios exceeded 94.8%, and the skeleton instantiation success rate was above 97.2%, accurately converting natural language operational semantics into executable instruction skeletons. Cross product sign consistency across five complexity levels was above 93.5%, and the fine-tuning offset mechanism automatically corrected geometric deviations under high-complexity instructions, ensuring the accuracy of feature pinpoint localization. Probe coverage across six partitions exceeded 98.6%, mirror layer consistency exceeded 99.5%, and CPU impact was below 0.20%, not affecting normal player interaction.

[0112] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for generating and processing configurable game operation management instructions, characterized in that, The method includes: Step 1: Respond to the operation event from the operation terminal, decompose the operation semantics in the operation event into multiple mutually exclusive operation primitives to form an order fragment sequence. The order fragment sequence is composed of multiple mutually exclusive operation primitives in sequence. Each mutually exclusive operation primitive contains a scope label, a data variant type, and a set of constraints. The order fragment sequence is compared with the pre-set order template library for features, a matching order paradigm is selected, and the matching order paradigm is instantiated into a derivable order skeleton carrying dynamic placeholders. The derivable order skeleton refers to an instruction skeleton with a fixed structure and configurable parameters obtained by retaining fixed execution logic and replacing variable parameters with dynamic placeholders. Step 2: Extract three feature pins from the derivable command skeleton and determine the driving base point. The three feature pins are respectively taken from the first byte of the template feature code in the command template library, the middle check field of the scope label in the derivable command skeleton, and the operation depth mark in the data variant type in the derivable command skeleton. Extend the edges in three orthogonal directions with the corresponding driving base point as the vertex to form a triangular pyramid base surface. Then, with the corresponding driving base point as the center, copy and scale the triangular pyramid base surface outward layer by layer along the normal direction of the triangular pyramid base surface to form a multi-layer nested convex star cone cover. Step 3: Perform radial lobing operation on the convex star cone cover, that is, cut the base surface of each layer of triangular pyramid into three lobe-shaped sub-regions along the extension direction of each edge from the driving base point; in each lobe-shaped sub-region, staggered cross lines are made on the corresponding edges of two adjacent layers of triangular pyramid bases to generate a cable-stayed network; calculate the local impedance value for each cross node in the cable-stayed network, the local impedance value is obtained by adding the level component and the distance component, where the level component is calculated according to the level number of the level in which the cross node is located, and the distance component is calculated according to the spatial distance between the cross node and the driving base point; summarize all local impedance values ​​to obtain a deformation modulation factor, and use the deformation modulation factor to correct the derived command skeleton to obtain the corrected command skeleton; Step 4: Based on the dynamic placeholders and scope labels in the corrected command skeleton, obtain a distributed data probe for player instances within the game server; use the distributed data probe to perform non-intrusive sampling on the set of player instances within the game server that satisfy the scope labels, and construct a transient data mirror layer. Step 5: If the operation type carried by the derivable command skeleton is batch modification, then the data modification logic corresponding to the modified command skeleton is instantiated in the transient data mirror layer, the data mirror node is updated to the target node, and the batch data change of the target player set is completed; if it is batch query, then the transient data mirror layer is used as the query result.

2. The method for generating and processing configurable game operation management instructions according to claim 1, characterized in that, The command fragment sequence is compared with the pre-defined command template library by feature comparison, a matching command paradigm is selected, and the matching command paradigm is instantiated into a derivable command skeleton carrying dynamic placeholders, including: Extract the scope label, data variant type, and constraint set of each operation primitive in the command fragment sequence, and concatenate them in order to form a temporary feature sequence; The temporary feature sequence is matched bit by bit with the template feature code corresponding to each command paradigm in the pre-set command template library. If there is a completely identical template feature code, the command paradigm corresponding to the template feature code is determined as the matching command paradigm. By retaining the fixed fields in the matching command paradigm and replacing the variable parts in the matching command paradigm with dynamic placeholders, a derivable command skeleton is obtained.

3. The method for generating and processing configurable game operation management instructions according to claim 2, characterized in that, Three feature pins that can be derived into the command skeleton are extracted and the driving base points are determined, including: The three feature pin points are mapped to a preset three-dimensional reference coordinate system to obtain three projected coordinate points; the orthocenter coordinates of the triangle formed by the three projected coordinate points are calculated as the first pivot base point, and the incenter coordinates of the triangle are calculated as the second pivot base point. The detection can generate the operation type carried by the command skeleton. If the operation type is batch modification, the first pivot base point is determined as the driving base point. If the operation type is batch query, the second pivot base point is determined as the driving base point.

4. The method for generating and processing configurable game operation management instructions according to claim 3, characterized in that, Extending the edges in three orthogonal directions from the corresponding driving base point to form the base surface of a triangular pyramid, and then copying and scaling the triangular pyramid base surface layer by layer outward along the normal direction of the base surface, with the corresponding driving base point as the center, to form a multi-layered nested convex star cone cover, including: With the driving base point as the vertex, three edges are extended in three mutually orthogonal directions at a step distance, wherein the step distance is equal to the Euclidean distance between the first pivot base point and the second pivot base point; the end points of the three edges are connected in pairs to form a triangular pyramid base surface; Centered on the driving base point, the triangular pyramid base surface is copied and scaled outward layer by layer along the normal direction of the base surface. After each layer is copied and scaled, the cross product sign of the adjacent edge vectors of the three vertices of the corresponding triangular pyramid base surface is calculated. If the three cross product signs are the same, the corresponding base surface is kept. If any cross product sign is different, a fine-tuning offset is applied to the corresponding base surface until all vertices meet the same sign condition, forming a multi-layered nested convex star cone cover. The vertical distance between two adjacent triangular pyramid base surfaces is equal to the step distance.

5. The method for generating and processing configurable game operation management instructions according to claim 4, characterized in that, Step 3 includes: Starting from the driving base point, the base surface of each layer of triangular pyramids is cut into three independent petal-shaped sub-regions along the extension direction of each edge. Within each petal-shaped sub-region, the corresponding edges on the base surfaces of two adjacent layers of triangular pyramids are staggered and intersected to generate a set of cable-stayed nets. Each intersection node in the cable-stayed net corresponds to a layer number and a spatial distance value, where the layer number represents the layer number of the convex star cone cover where the corresponding intersection node is located, and the spatial distance value represents the Euclidean distance between the corresponding intersection node and the driving base point. The layer number is multiplied by a preset layer weight coefficient to obtain the layer component. The distance component is obtained by multiplying the reciprocal of the spatial distance value by the preset distance weighting coefficient. The local impedance value of the corresponding intersection node is obtained by adding the hierarchical component and the distance component. The local impedance values ​​of all cross nodes are summed, and a deformation modulation factor is calculated by weighted summation. The deformation modulation factor is then used to perform a hyperbolic tangent transform on the filling threshold of the dynamic placeholders in the derivable command skeleton to obtain the corrected command skeleton.

6. The method for generating and processing configurable game operation management instructions according to claim 5, characterized in that, A hyperbolic tangent transform is performed on the filling threshold of dynamic placeholders in the derivable command skeleton using a deformation modulation factor to obtain the modified command skeleton, including: Extract the original filling threshold of the dynamic placeholder in the derivable command skeleton and denote it as the value to be transformed; use the deformation modulation factor as the input independent variable of the hyperbolic tangent function to calculate the hyperbolic tangent output value; multiply the value to be transformed with the hyperbolic tangent output value to obtain the transformed value; replace the original filling threshold of the dynamic placeholder in the derivable command skeleton with the transformed value to obtain the corrected command skeleton.

7. The method for generating and processing configurable game operation management instructions according to claim 6, characterized in that, Step 4 includes: Extract the transformed values ​​of the dynamic placeholders and the original range values ​​of the scope labels from the modified command skeleton; fuse and map the transformed values ​​with the original range values ​​of the scope labels to generate a multidimensional addressing vector. The multidimensional addressing vector is input into a preset probe generator to generate a distributed data probe. The distributed data probe includes batch addressing logic and a non-intrusive sampling strategy. The sampling step size of the distributed data probe is adaptively scaled by the deformation modulation factor to obtain the adaptively scaled sampling step size. Distributed data probes are injected into the game server's runtime environment. These probes locate the memory addresses of all player instances that satisfy the scope label based on batch addressing logic. For each located memory address, a read-only data extraction operation is initiated according to an adaptively scaled sampling step size, copying a data snapshot from the original data storage of each player instance. All data snapshots are aggregated into a transient data mirror layer isolated from the original data storage. Each data mirror node in the transient data mirror layer maintains a logical mapping relationship with the real-time state of the corresponding player instance.

8. The method for generating and processing configurable game operation management instructions according to claim 7, characterized in that, Step 5 includes: Determine the operation type carried by the derivable command skeleton. If the operation type is batch modification, load the data modification logic described in the modified command skeleton onto each data mirror node of the transient data mirror layer. Execute the change operation defined by the data modification logic on each data mirror node to obtain the updated data mirror node, which is recorded as a candidate data mirror node. Each candidate data mirror node is compared field by field with the corresponding original data mirror node to generate a difference record set. Only the fields that have changed in the difference record set are flushed back to the same field position of the corresponding player instance in the original data storage of the game server through the reverse synchronization channel to complete the batch data change of the target player instance set. If the operation type is batch query, the transient data mirror layer is directly output as the query result.

9. A configuration-based generation and processing system for game operation management instructions, wherein the system implements the method as described in any one of claims 1 to 8, characterized in that, include: The matching module is used to respond to operational events from the operation side. It decomposes the operational semantics in the operation event into multiple mutually exclusive operation primitives to form a command fragment sequence. The command fragment sequence is composed of multiple mutually exclusive operation primitives in sequence. Each mutually exclusive operation primitive contains a scope label, a data variant type, and a set of constraints. The command fragment sequence is compared with the pre-set command template library to select a matching command paradigm. The matching command paradigm is then instantiated into a derivable command skeleton carrying dynamic placeholders. The derivable command skeleton refers to an instruction skeleton with a fixed structure and configurable parameters obtained by retaining fixed execution logic and replacing variable parameters with dynamic placeholders. The extraction module is used to extract three feature pins of the derivable command skeleton and determine the driving base point. The three feature pins are respectively taken from the first byte of the template feature code of the command template library, the middle check field of the scope label in the derivable command skeleton, and the operation depth mark in the data variant type in the derivable command skeleton. The edges are extended in three orthogonal directions from the corresponding driving base point to form the base surface of the triangular pyramid. Then, the base surface of the triangular pyramid is copied and scaled outward layer by layer along the normal direction of the base surface of the triangular pyramid with the corresponding driving base point as the center, forming a multi-layered nested convex star cone cover. The correction module is used to perform radial lobing operations on the convex star cone cover, that is, to cut each layer of triangular pyramid base surface into three lobe-shaped sub-regions along the extension direction of each edge starting from the driving base point; to stagger and cross the corresponding edges of two adjacent layers of triangular pyramid base surfaces within each lobe-shaped sub-region, generating a cable-stayed network; to calculate the local impedance value for each cross node in the cable-stayed network, the local impedance value is obtained by adding the level component and the distance component, where the level component is calculated according to the level sequence number of the level where the cross node is located, and the distance component is calculated according to the spatial distance between the cross node and the driving base point; to summarize all local impedance values, a deformation modulation factor is obtained, and the command skeleton can be derived by using the deformation modulation factor to obtain the corrected command skeleton; The sampling module is used to obtain distributed data probes for player instances within the game server based on the dynamic placeholders and scope labels in the corrected command skeleton. A transient data mirror layer is constructed by using distributed data probes to perform non-intrusive sampling on a set of player instances within the game server that satisfy the scope label. The update module is used to instantiate the data modification logic corresponding to the modified command skeleton in the transient data mirror layer if the operation type carried by the derivable command skeleton is batch modification, update the data mirror node to the target node, and complete the batch data change of the target player set. For batch queries, the transient data mirror layer is used as the query result.

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