A multi-level control point surface coupling method and system for forest stock

Abstract

The present application relates to the field of administrative data processing, and discloses a kind of multi-level control point surface coupling method and system of forest stock volume, comprising: calling stock volume total index and lower initial statistical data, according to initial distribution proportion decomposes total index to obtain preliminary decomposition and extract total amount of remainder, combine geographic unit resource upper threshold and administrative division code to construct compensation priority sequence, determine whether the sum of preliminary decomposition and unit step remainder satisfies compliance constraint, when satisfying, accumulate remainder and update total, otherwise, keep the value unchanged and pass the remainder to subsequent node, until the total amount of remainder is distributed to determine the approved index, the present application solves the conflict between macro data and micro account legality through compliance logic discrimination and dynamic compensation mechanism, avoids the risk of resource supervision of bottom data node, and guarantees the statistical rigor and audit traceability certainty of administrative data processing system.

Description

Technical Field

[0001] This invention belongs to the field of administrative management data processing technology, and in particular relates to a multi-level control point-area coupling method and system for forest stock volume. Background Technology

[0002] Currently, in the administrative accounting system for forest resources, the basic method for maintaining consistency of administrative ledgers is to decompose macro-control volume indicators down to the lowest-level geographic patch nodes. Conventional systems use proportional mapping combined with local rounding logic to achieve data flow across administrative levels. This data decomposition model relies on a tree-like topology structure built on administrative affiliation to ensure that the aggregated data at each level is arithmetically synchronized with the control indicators at the higher level. In addition to the limitations of hardware topology, existing technologies in software-level data processing algorithms and allocation control strategies struggle to balance macro-level total balance with micro-level data compliance. For example, Chinese invention patent application CN114817616A discloses a method, system and execution method for continuous monitoring of forest volume, which updates volume through intelligent sample plots combined with dynamic forest stand models. However, under the actual administrative indicator issuance conditions, the technical route based on sampling estimation or proportional coefficient updates is a bottom-up data extrapolation, lacking a mechanism to smooth out the difference under the rigid constraints of the top-down total volume.

[0003] However, the multi-dimensional nested hierarchical structure causes truncation errors from floating-point operations to accumulate during transmission. Conventional compensation logic prioritizes adding or subtracting values ​​from nodes with larger values ​​to smooth out system deviations, without considering the tolerance limits of lower-level nodes for numerical fluctuations. When compensation actions trigger the deduction of values ​​from micro-nodes, the lack of awareness of the administrative compliance bottom line of nodes leads to abnormally reduced node values, or even negative values. This processing mode, which simply pursues the conservation of arithmetic totals while ignoring the legality of micro-data, undermines the fidelity of the underlying survey ledgers and causes administrative supervision data to deviate from the objective reality at the grassroots level. The existing overall compensation mechanism lacks the ability to conduct exploratory analysis of the physical state of nodes and cannot achieve dynamic error repositioning under complex constraints, constituting a fundamental obstacle in the governance of administrative statistical data.

[0004] Therefore, the technical problem to be solved by this invention is how to establish a point-to-surface coupling mechanism that can sense the carrying capacity limit of the underlying nodes and drive the dynamic repositioning of errors based on the administrative rule engine, so as to ensure the physical legitimacy of the micro-ledger while maintaining the absolute conservation of data at all levels. Summary of the Invention

[0005] This invention provides a multi-level control point-area coupling method for forest stock volume, comprising the following steps:

[0006] Step 101: Obtain the total forest stock volume target issued by the superior administrative unit, as well as the initial statistical data of the subordinate administrative units;

[0007] Step 102: Based on the distribution ratio of the initial statistical data of each lower-level administrative unit in its superior administrative unit, decompose the total forest stock volume index into the preliminary decomposition amount of each lower-level administrative unit, and extract the total amount of the truncated remainder generated by the decomposition calculation.

[0008] Step 103: Retrieve the upper limit threshold of the geographical unit resources associated with each lower-level administrative unit, and construct a compensation priority sequence with the preliminary decomposition amount as the first sorting key and the administrative division code of the lower-level administrative unit as the second sorting key;

[0009] Step 104: Traverse the compensation priority sequence in order and determine whether the sum of the initial decomposition amount of the current node and the truncation remainder of the preset unit step size is less than or equal to the upper limit threshold of the geographic unit resources.

[0010] Step 105: If the judgment result is yes, the initial decomposition amount is accumulated by the truncated remainder of a unit step length, and the total amount of the truncated remainder is updated; if the judgment result is no, the initial decomposition amount of the current node remains unchanged, and the truncated remainder of a unit step length is passed to the subsequent nodes of the compensation priority sequence until the total amount of the truncated remainder is completely allocated.

[0011] Step 106: Output the updated preliminary breakdown of each lower-level administrative unit as the indicator for determining forest stock volume.

[0012] Preferably, step 102 further includes: step 1021: constructing each level of administrative unit into a tree topology and decomposing it level by level using a depth-first traversal strategy; step 1022: transmitting the verified forest stock volume index output by the upper-level node as the lower-level control benchmark, establishing a closed-loop transmission path triggered by numerical instructions between levels, so that the sum of the verified forest stock volume indexes of the lower-level administrative units is equal to the total forest stock volume index.

[0013] Preferably, step 103 further includes: step 1031: extracting the upper limit threshold of geographical unit resources from the administrative ledger database, wherein the upper limit threshold of geographical unit resources is set as the minimum legal stock limit value corresponding to each lower-level administrative unit; step 1032: when there are multiple lower-level administrative units with equal preliminary decomposition amounts in the compensation priority sequence, the compensation order is established by using the ascending order of administrative division codes to eliminate randomness in the data allocation process.

[0014] Preferably, in step 104, the differential absorption path is reconstructed using the conditional switching of logical pointers; the truncation remainder with a unit step size is set as the minimum calculation precision unit for the total amount of truncation remainder.

[0015] Preferably, in step 105, node state switching is implemented through dynamic arbitration rules; when the logical judgment trial value is greater than the upper limit threshold of the geographic unit resource, the unsaturated node in the compensation priority sequence is located, and the truncated remainder of unit step length is allocated to the unsaturated node; the unsaturated node is a data node whose value after accumulating the truncated remainder of unit step length is not greater than the upper limit threshold of the geographic unit resource.

[0016] Preferably, the indicators for determining forest stock volume include statistical components of province, county, origin, tree species, and map patch dimensions; parent-child node constraint relationships are established between each dimension through a tree topology structure.

[0017] Preferably, the method further includes: step 107: monitoring the deviation coefficient of the verified forest stock volume index relative to the initial statistical data; step 108: if the deviation coefficient exceeds the preset rate of change threshold, generating a data status early warning signal, which is used to indicate abnormal fluctuations in the stock volume of the corresponding administrative unit.

[0018] Preferably, the initial statistical data is obtained synchronously through a distributed database; the total forest stock volume index includes forest coverage constraint index and total control index; in step 102, the geographic patch data coupling process is transformed into a linear operation based on priority queue pointer movement using greedy allocation logic.

[0019] Preferably, in step 105, the truncation remainder per unit step is allocated through a cyclic determination process until the remaining amount of the total truncation remainder is reduced to 0.

[0020] A system for a multi-level control point-area coupling method for forest stock volume includes:

[0021] The data retrieval module is used to retrieve the total forest stock volume index and the initial statistical data of lower-level administrative units;

[0022] The indicator decomposition module is used to decompose the total forest stock volume indicator into the initial decomposition amount of each lower-level administrative unit according to the initial distribution ratio of each lower-level administrative unit in its superior administrative unit, and to extract the total amount of the truncated residual item generated by the decomposition calculation.

[0023] The sequence construction module is used to obtain the upper limit threshold of the geographical unit resources associated with each lower-level administrative unit, and construct a compensation priority sequence with the initial decomposition amount as the first sorting key and the administrative division code of the lower-level administrative unit as the second sorting key.

[0024] The compliance judgment module is used to traverse the compensation priority sequence in order and determine whether the sum of the initial decomposition amount of the current node and the truncated remainder of the preset unit step size is less than or equal to the upper limit threshold of the geographical unit resources.

[0025] The dynamic compensation module is used to accumulate the preliminary decomposition amount by a unit step length and update the total amount of the truncated remainder when the judgment result is yes; when the judgment result is no, the preliminary decomposition amount of the current node remains unchanged, and the truncated remainder amount by a unit step length is passed to the subsequent nodes of the compensation priority sequence until the total amount of the truncated remainder is fully allocated; the result output module is used to output the updated preliminary decomposition amount of each lower-level administrative unit as the indicator for verifying forest stock volume.

[0026] Compared with existing technologies, the multi-level control point-area coupling method for forest stock volume of the present invention has the following advantages:

[0027] 1. In the multi-level control point-area coupling of forest stock volume, by establishing a multi-level recursive allocation logic based on the global coupling coefficient, the numerical alignment of macro-administrative overall control indicators and micro-unit data sums is achieved, avoiding the systematic tail deviation caused by conventional proportional conversion and local truncation processing. This mechanism uses a depth-first traversal strategy to directly transmit the coupling results output by the upper-level nodes to the lower level as control benchmarks, establishing a closed-loop transmission path triggered by a single numerical command between levels, and ensuring the statistical rigor of the forest stock volume ledger at all dimensions from province, county, origin, dominant tree species to micro-plots.

[0028] 2. By introducing a dynamic arbitration mechanism driven by business compliance boundaries into the numerical compensation chain, the conflict between macro data alignment and micro-level ledger legality is resolved, preventing underlying data nodes from being subjected to numerical deductions exceeding their physical and administrative limits. The system uses compliance benchmark values ​​extracted from the administrative ledger database to perform advanced trial calculations. When it is determined that the compensation action will cause the node value to fall below the minimum legal stock, a bypass instruction is automatically triggered. The error absorption path is reconstructed through conditional jumps of logical pointers, constraining the numerical allocation process within the framework of forest resource supervision rules, and preventing the generation of illegal negative values ​​or abnormally low value data.

[0029] 3. By adopting a dual sorting compensation strategy based on node values ​​and unique identifiers, the randomness of allocation caused by equal values ​​during large-scale discrete allocation is eliminated, and the absolute reproducibility of data processing trajectory is established. This method uses administrative codes or map patch identifiers as secondary sorting keys for the compensation queue, ensuring that the same administrative business input can produce completely consistent coupled outputs under different calculation cycles, thus meeting the rigid requirements of administrative management data processing systems for computational determinism and audit backtracking. Attached Figure Description

[0030] Figure 1 This is a flowchart of the decomposition and dynamic compensation of forest stock volume indicators under the compliance constraints of this invention;

[0031] Figure 2 This is an architecture diagram of the distributed forest stock volume accounting system that integrates an administrative rule engine according to the present invention. Detailed Implementation

[0032] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0033] It should be noted that all directional and positional terms used in this invention, such as: up, down, left, right, front, back, vertical, horizontal, inner, outer, top, bottom, transverse, longitudinal, center, etc., are only used to explain the relative positional relationship and connection between components in a specific state (as shown in the accompanying drawings). They are only for the convenience of describing this invention and do not require that this invention be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention. In addition, the descriptions of "first," "second," etc., in this invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated.

[0034] In the description of this invention, unless otherwise explicitly specified and limited, the terms installation, connection, and linking should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections; they can refer to direct connections or indirect connections through an intermediate medium; they can refer to the internal connection of two components. For those skilled in the art, the specific meaning of the above terms in this invention can be understood according to the specific circumstances.

[0035] In the description of this specification, references to the terms "an embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example, and the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0036] A multi-level control point-area coupling method for forest stock volume includes the following steps:

[0037] Step 101: Obtain the total forest stock volume target issued by the superior administrative unit, as well as the initial statistical data of the subordinate administrative units;

[0038] Step 102: Based on the distribution ratio of the initial statistical data of each lower-level administrative unit in its superior administrative unit, decompose the total forest stock volume index into the preliminary decomposition amount of each lower-level administrative unit, and extract the total amount of the truncated remainder generated by the decomposition calculation.

[0039] Step 103: Retrieve the upper limit threshold of the geographical unit resources associated with each lower-level administrative unit, and construct a compensation priority sequence with the preliminary decomposition amount as the first sorting key and the administrative division code of the lower-level administrative unit as the second sorting key;

[0040] Step 104: Traverse the compensation priority sequence in order and determine whether the sum of the initial decomposition amount of the current node and the truncation remainder of the preset unit step size is less than or equal to the upper limit threshold of the geographic unit resources.

[0041] Step 105: If the judgment result is yes, the initial decomposition amount is accumulated by the truncated remainder of a unit step length, and the total amount of the truncated remainder is updated; if the judgment result is no, the initial decomposition amount of the current node remains unchanged, and the truncated remainder of a unit step length is passed to the subsequent nodes of the compensation priority sequence until the total amount of the truncated remainder is completely allocated.

[0042] Step 106: Output the updated preliminary breakdown of each lower-level administrative unit as the indicator for determining forest stock volume.

[0043] Preferably, step 102 further includes: step 1021: constructing each level of administrative unit into a tree topology and decomposing it level by level using a depth-first traversal strategy; step 1022: transmitting the verified forest stock volume index output by the upper-level node as the lower-level control benchmark, establishing a closed-loop transmission path triggered by numerical instructions between levels, so that the sum of the verified forest stock volume indexes of the lower-level administrative units is equal to the total forest stock volume index.

[0044] Preferably, step 103 further includes: step 1031: extracting the upper limit threshold of geographical unit resources from the administrative ledger database, wherein the upper limit threshold of geographical unit resources is set as the minimum legal stock limit value corresponding to each lower-level administrative unit; step 1032: when there are multiple lower-level administrative units with equal preliminary decomposition amounts in the compensation priority sequence, the compensation order is established by using the ascending order of administrative division codes to eliminate randomness in the data allocation process.

[0045] Preferably, in step 104, the differential absorption path is reconstructed using the conditional switching of logical pointers; the truncation remainder with a unit step size is set as the minimum calculation precision unit for the total amount of truncation remainder.

[0046] Preferably, in step 105, node state switching is implemented through dynamic arbitration rules; when the logical judgment trial value is greater than the upper limit threshold of the geographic unit resource, the unsaturated node in the compensation priority sequence is located, and the truncated remainder of unit step length is allocated to the unsaturated node; the unsaturated node is a data node whose value after accumulating the truncated remainder of unit step length is not greater than the upper limit threshold of the geographic unit resource.

[0047] Preferably, the indicators for determining forest stock volume include statistical components of province, county, origin, tree species, and map patch dimensions; parent-child node constraint relationships are established between each dimension through a tree topology structure.

[0048] Preferably, the method further includes: step 107: monitoring the deviation coefficient of the verified forest stock volume index relative to the initial statistical data; step 108: if the deviation coefficient exceeds the preset rate of change threshold, generating a data status early warning signal, which is used to indicate abnormal fluctuations in the stock volume of the corresponding administrative unit.

[0049] Preferably, the initial statistical data is obtained synchronously through a distributed database; the total forest stock volume index includes forest coverage constraint index and total control index; in step 102, the geographic patch data coupling process is transformed into a linear operation based on priority queue pointer movement using greedy allocation logic.

[0050] Preferably, in step 105, the truncation remainder per unit step is allocated through a cyclic determination process until the remaining amount of the total truncation remainder is reduced to 0.

[0051] A system for a multi-level control point-area coupling method for forest stock volume includes:

[0052] The data retrieval module is used to retrieve the total forest stock volume index and the initial statistical data of lower-level administrative units;

[0053] The indicator decomposition module is used to decompose the total forest stock volume indicator into the initial decomposition amount of each lower-level administrative unit according to the initial distribution ratio of each lower-level administrative unit in its superior administrative unit, and to extract the total amount of the truncated residual item generated by the decomposition calculation.

[0054] The sequence construction module is used to obtain the upper limit threshold of the geographical unit resources associated with each lower-level administrative unit, and construct a compensation priority sequence with the initial decomposition amount as the first sorting key and the administrative division code of the lower-level administrative unit as the second sorting key.

[0055] The compliance judgment module is used to traverse the compensation priority sequence in order and determine whether the sum of the initial decomposition amount of the current node and the truncated remainder of the preset unit step size is less than or equal to the upper limit threshold of the geographical unit resources.

[0056] The dynamic compensation module is used to accumulate the preliminary decomposition amount by a unit step length and update the total amount of the truncated remainder when the judgment result is yes; when the judgment result is no, the preliminary decomposition amount of the current node remains unchanged, and the truncated remainder amount by a unit step length is passed to the subsequent nodes of the compensation priority sequence until the total amount of the truncated remainder is fully allocated; the result output module is used to output the updated preliminary decomposition amount of each lower-level administrative unit as the indicator for verifying forest stock volume.

[0057] Example 1: Within the provincial forest resource accounting system, for the hierarchical decomposition task of the overall forest stock volume indicator, the administrative data processing system retrieves the total forest stock volume indicator issued by the superior unit. and initial statistical data of its subordinate units. Because the administrative codes and identifiers of the bottom-level map nodes are of a large magnitude, when performing hierarchical allocation based on a tree topology, the proportional conversion combined with local rounding will cause the aggregated results at each level to deviate from the administrative control indicators of the higher level, resulting in cumulative numerical deviations. Furthermore, directly performing reduction processing on bottom-level nodes with smaller values ​​will cause the data to touch the bottom line of resource supervision, undermining the logical consistency of administrative statistical data and the certainty of audit backtracking. The system uses the indicator decomposition module to extract the total forest stock volume indicator and the initial statistical data of the lower level, and calculates the coupling coefficient according to the initial distribution ratio of the lower level unit in its superior unit. , The total forest stock volume target assigned by the higher-level unit. For the first The system uses the initial statistical data of each subordinate unit based on the coupling coefficient. The total forest stock volume index is broken down into preliminary breakdowns for each lower-level unit. And extract the total amount of truncated remainders caused by rounding operations during the calculation process. The calculation formula is: ,in, To cut off the total amount of remaining items, For the first The initial decomposition quantity of each lower-level unit, This represents the total number of subordinate units.

[0058] The system retrieves the resource upper limit threshold of the geographic units associated with each subordinate unit. This threshold is set as the compliant stock limit value corresponding to each subordinate unit. A unique compensation priority sequence is constructed using the initial decomposition amount as the first sorting key and the ascending order of the administrative division codes of the subordinate units as the second sorting key to eliminate randomness in the allocation process. The system traverses the compensation priority sequence in sequence to determine the initial decomposition amount of the current node. Whether the sum of the truncation remainder and the unit step size satisfies compliance constraints, the unit step size truncation remainder is set to the smallest unit of computational precision, 1, if the initial decomposition of the current node... If the sum of 1 and 1 is less than or equal to the corresponding geographic unit resource upper limit threshold, then the initial decomposition quantity will be... Increment by 1 while simultaneously decreasing the total amount of the truncated remainder. The absolute value of the so-called upper limit threshold of geographical unit resources does not refer to the absolute physical extreme value of natural forest growth, but rather to the maximum statistical boundary value that the node value is allowed to reach when performing positive accumulation or compensation calculation of the truncated remainder. Its physical self-consistent transformation mechanism is that the minimum legal physical stock benchmark followed by the lower-level administrative unit is transformed into the unidirectional blocking constraint upper limit of this allocation trial calculation through the administrative indicator mapping rule, thereby ensuring that in each trial accumulation action, the upper limit threshold is used to simultaneously complete the anti-breakdown verification of the compliance bottom line of the micro-entity stock.

[0059] If the initial decomposition quantity is determined If the sum of the truncated remainders within a unit step exceeds the corresponding geographic unit resource upper limit threshold, the system triggers a node state switching command. This blocks numerical adjustments to the current node and propagates the truncated remainders within a unit step to subsequent nodes in the priority sequence. The difference absorption path is reconstructed through conditional jumps of logical pointers. This judgment process continues until the total truncated remainders are reached. When the absolute value of the term is reduced to 0, the floating-point characteristics of the truncation error are matched based on the principle of discrete variable numerical approximation, and the system continuously monitors the total amount of the truncation remainder. When the absolute value of the dynamic residual is detected to be less than the preset unit step size of 1, the logic operation unit modifies the current value transmission instruction, reducing the single allocation step size from 1 to the actual value of the dynamic residual, and performs a last-bit truncation action to truncate the total amount of the residual term. If the register value is returned to zero, and the system has completed a full traversal of the priority sequence and truncated the remaining total number of terms, then the system will be able to proceed. If the register value is still greater than 0, the quota overflow condition is triggered, and the capacity reassessment mechanism is initiated. The processor retrieves the resource upper limit threshold and preliminary decomposition amount for all unsaturated node geographic units in the current sequence. The sum of the differences; if the sum of the differences is not less than the total amount of remaining items, the sequence is rearranged and the remaining items are distributed according to the proportion of the difference to the remaining space; if the sum of the differences is less than the total amount of remaining items, the current allocation thread outputs a capacity over-limit electrical signal to the upper-level cloud node to suspend the decomposition task. This suspension instruction does not abandon the data coupling and conservation goals, but is used to trigger a transient reset action of global constraint conditions. When the upper-level cloud node receives the capacity over-limit electrical signal, the system control unit will automatically retrieve the backup tolerance parameter library and fine-tune the benchmark site quality of this level area in increments of 0.01. A constant is used to synchronously expand the carrying capacity of all unsaturated nodes, automatically wake up suspended allocation threads and re-enter the allocation loop of the remaining items. This closed-loop correction process continues to run automatically until the full truncation error is absorbed. Finally, the updated preliminary decomposition amount of each lower-level unit is output as the verified forest stock volume indicator, realizing the numerical alignment between the global administrative control indicator and the sum of local unit data. While maintaining the data conservation at each level, this method ensures that the local ledger meets the physical stock limit, and improves the data flow efficiency of the administrative management data processing system in resource supervision business.

[0060] Example 2: In the process of testing the stability of the volume index decomposition using the provincial forest resource management simulation platform, the system retrieves 12,480 sets of initial statistical data of geographic patches pre-stored in the administrative ledger database as the input source, and in the initial statistical data... Gaussian random noise with a mean of 0 and a variance of 0.05 is superimposed to simulate measurement errors generated in forest resource field surveys. The sampling period balances the real-time nature of data verification with the system's concurrent processing load, depending on the size of the map patch nodes to be processed. achieve At this stage, the sampling period is set to 300ms to reduce the risk of data conflicts during distributed database synchronization and to ensure the atomicity of the verification task; among which, For the first Initial statistical data of each subordinate unit, To determine the total number of lower-level units, the experiment included Control Group 1, Control Group 2, and the sample group of this invention. Control Group 1 used a proportional conversion combined with local rounding and did not set compliance boundary constraints. Control Group 2 removed the logic of using the initial decomposition amount as the sorting key in the compensation path. The sample group of this invention applied the method described in the specification. The system set the total forest stock volume index. The initial statistical data was measured to be 498,750.45 m³, with a value of 500,000.00 m³. The coupling coefficient was then used to determine the specific data. The total amount of truncated remainders generated from the preliminary decomposition. The volume is 12.45 m³; due to the lack of a dynamic compensation path in the control group, the sum of the verified storage volumes of its subordinate administrative units is equal to... There was a statistical bias of 0.0025%.

[0061] The sample group of this invention is initially decomposed using a sequence construction module. The first sorting key is sorted in descending order, and when the values ​​are equal, a unique compensation priority sequence is established using the ascending order of the administrative division codes. When the compensation logic runs to the 842nd node in the sequence, the initial decomposition of that node is... The value is 15.62 m³, and the upper limit threshold for the associated geographic unit resource is set to 16.00 m³. The trial evolution value calculated by the compliance judgment module is 16.62 m³. This trial value is determined to be greater than the upper limit threshold for the geographic unit resource. The system triggers a node bypass instruction through a conditional switch of the logical pointer, blocking the numerical adjustment of the current node and passing the truncated remainder of 1 per unit step size to subsequent nodes. For the first Based on the analysis of the output data of each sample group, the initial decomposition of the lower-level units in control group 2, due to neglecting the sorting weight of the initial decomposition, resulted in the truncated remainder being assigned to nodes with low numerical elasticity. In 142 out of 12,480 samples, the values ​​of these nodes exceeded the upper limit threshold of the geographical unit resource by more than 15% after compensation. In contrast, the sample group of this invention allocated the truncated remainder of 12.45 m³ to unsaturated nodes, resulting in a final output of 500,000.00 m³ of verified forest stock volume. Furthermore, all node values ​​were within the preset compliance range, demonstrating that this method can resolve the conflict between total quantity conservation and business compliance in administrative data processing. Test data shows that as the noise intensity in the initial statistical data increases, the deviation correction rate of the system output remains stable at 100%. This indicates that this invention, through a dynamic compensation method driven by business compliance boundaries, achieves deterministic allocation of large-scale discrete data in the field of administrative data processing, eliminates statistical bias caused by floating-point truncation, and improves the data flow efficiency of the resource accounting system.

[0062] Example 3: In a business environment where the provincial forest resource management system is used to perform the task of decomposing the stock volume index, the system faces the challenge of the administrative code size of geographic patch nodes reaching a certain level. The balance between the floating-point truncation bias resulting from the higher level and the bottom line of resource compliance is required. The administrative data processing system retrieves the total forest stock volume target issued by the higher-level administrative unit. And initial statistical data for each geographic patch provided by the forestry survey database. Due to differences in site conditions across regions, the system initiates a threshold calibration procedure to retrieve the site quality grade constants associated with each geographic patch. And according to the formula The resource upper limit threshold for each geographical unit is calculated. ,in, For the first The resource upper limit threshold corresponding to a geographic patch. The site quality grade constant for the corresponding map patch is set to a value range of 0.05 to 0.15.

[0063] The system calculates the coupling coefficient. And generate the initial decomposition quantities for each subordinate unit. Then, extract the total amount of the truncated remainder term generated from the decomposition calculation. The calculation formula is: ,in, To cut off the total amount of remaining items, For the first The initial decomposition quantity of each lower-level unit, The sequence construction module calculates the total number of lower-level units based on the initial decomposition amount. Geographic parcels are sorted in descending order. When the initial decomposition amounts are equal, a unique compensation priority sequence is established using the ascending order of administrative division codes. The compliance judgment module extracts the sequence nodes in sequence to determine the initial decomposition amount. Does the sum of the truncated remainder 1 and the unit step size exceed the corresponding geographic unit resource limit threshold? For the 10245th target data node in the sequence, the system reads its preliminary decomposition data. The value is 120.5 m³, and its geographic unit resource upper limit threshold is read. The initial value is 121 m³. The discrimination unit calculates a trial value of 121.5 m³. The system detects that the trial value exceeds the upper limit threshold of the geographic unit's resources, triggering a node bypass command. This command controls the system to switch the current node's logical pointer state from allocable to bypass, blocking the current node's numerical accumulation. It also pushes the truncated remainder of the unit step size (1) onto the logical temporary stack, forcing the logical pointer to jump to the 10246th node in the priority sequence to execute subsequent discrimination until a non-saturated node meeting compliance constraints is located, completing the dynamic reconstruction of the differential absorption path. After the dynamic reconstruction and indicator allocation are completed, the monitoring unit extracts the verified forest stock volume indicator and the initial statistical data from the input end according to the map patch dimension. It calculates the absolute value of the difference between the two and divides it by the initial statistical data. Using this mathematical formula, it derives the quantitative deviation coefficient. The system comparator compares this deviation coefficient with a preset variable... The system performs hardware-level comparisons using a rate of change threshold, which is calibrated to 5% based on the extreme fluctuation range of normal growth during historical forest resource surveys. Once a calculated deviation coefficient is detected to exceed this 5% rate of change threshold, the system outputs a pulse control signal to drive the alarm module to generate a data status warning signal. By applying the above-mentioned indicator allocation method driven by the administrative rule engine, the administrative management data processing system ensures that each decomposed verification indicator is within the administrative compliance boundary when processing the volume alignment task of large-scale map patch data. This solves the problem of local numerical deviations that are easily caused by conventional greedy compensation logic. The sum of the final generated verification forest volume indicators is equal to the total forest volume indicator, achieving alignment between macro-level administrative control indicators and the physical legitimacy of micro-level geographical units. This meets the administrative audit's requirements for the reproducibility of computational logic and the rigor of statistical data.

[0064] Example 4: In forest resource administration scenarios involving multi-origin and multi-tree-species coupled accounting, the system retrieves a growth potential feature database established for a specific forest area to obtain input parameters for calibrating the upper limit threshold of resources for geographic units. The calibration program performs regression calculations on historical survey data based on the origin attributes, tree species composition, and site quality grade of geographic patches, and constructs a site quality grade constant based on the Richards biomass growth equation. For the dependent variable quantification and calibration step, the system extracts the average diameter at breast height (DBH), canopy closure increment, and dominant tree species proportion parameters of the target geographic patch over the past three statutory survey periods to construct a three-dimensional feature independent variable matrix. The least squares algorithm is then used to solve the multiple linear regression equation between the independent variable matrix and the measured volume growth rate data for the corresponding periods, outputting the basic regression coefficients as the initial growth rate of the patch. In the specific mapping dimensionality reduction and solution steps, the system first performs range standardization and normalization on the three physical quantities of average DBH, canopy closure increment, and tree species proportion, which have different dimensions, and stores them in memory according to the survey period. The time series data are arranged into a 3x3 matrix of feature variables. Pre-stored measured data on the growth rate of accumulated volume are then used to construct a target column vector. The derivative of the Richards biomass growth equation is used as the fitting kernel, driving the least squares algorithm module to perform matrix transpose and inversion operations on the variable matrix. The orthogonal projection regression coefficient vector that minimizes the sum of squared residuals is then obtained. Finally, the first eigenvalue representing the principal component in this coefficient vector is extracted and output as the basic regression coefficient with a single scalar attribute. The inherent compensation coefficient of 1.25 is multiplied by the initial growth rate to generate the final site quality grade constant. For dimensionless values, the processor sets a hard numerical limiter at the output, constraining the value range to a closed interval of 0.05 to 0.15. Data exceeding the limit are processed by boundary value shifting. An inherent compensation coefficient of 1.25 is introduced in the above calculations. This is based on the engineering experience that optical remote sensing measurements often cannot penetrate the canopy layer, thus missing the increase in latent vegetation below. This constant multiplier is derived from the statistical ratio of historically measured deforestation biomass to corresponding remote sensing estimates, and is used to numerically restore the hidden carbon sink increase at the physical accounting level. The value range is forcibly constrained to a closed interval between 0.05 and 0.15. Its engineering significance lies in the following: 0.05, as the lower physical bound, represents the net photosynthetic growth threshold of degraded forest stands maintaining minimum life activity; values ​​below this indicate negative succession in the ecosystem, rendering it unable to provide effective volume increment. 0.15, as the upper physical bound, corresponds to the theoretical extreme value of carbon conversion rate for dominant tree species in temperate broadleaf forests under optimal water and fertilizer conditions. Any data output exceeding this upper limit will be deemed a physical fictitious violation of the law of conservation of bioenergy, thus determining the site quality grade constant. The baseline value, where, This is the site quality grade constant for the corresponding map patch, used to characterize the upper limit of annual growth rate for different tree species under specific site conditions, and the system automatically adjusts it when the origin attribute corresponds to natural forest. The weighting coefficients are set to meet the requirements for natural forest resource protection. The data writing module will calculate the results. The corresponding physical growth parameters are stored in the metadata nodes of the distributed ledger database, serving as the threshold for calculating the resource upper limit of a geographic unit. The input benchmark is used to suppress numerical fluctuations caused by unclear initial boundary conditions during the global data allocation process.

[0065] When the administrative management data processing system is deployed in a cascaded network environment, the system initiates a pre-calibration procedure to establish closed-loop transmission paths triggered by numerical commands between levels. By traversing the administrative affiliation codes in the forestry ledger database, it automatically constructs the mapping relationships between administrative units at each level and initializes the transmission step size of the volume control indicators for branch paths. Before the indicator decomposition task begins, the verification module injects a set of known test total data into the root node and monitors the jump status and numerical deviation of the logical pointer during the traversal of the tree topology. If a truncated remainder total is detected at a level... If the absolute value fails to converge in multiple iterations, the system automatically initiates a parameter reset command. This reconstructs the compensation priority sequence by adjusting the weights of the sorting keys until the sum of the verified forest stock volume indicators output by the system hierarchy equals the total forest stock volume indicator. Alignment establishes the readiness of the approved business operating environment; the system includes a processor, memory, and database interface, with the processor retrieving the total forest stock volume indicator from memory. The decomposed data and its corresponding tree topology parameters are then sent to the underlying geographic patch nodes via the database interface, along with the initial decomposition values. The memory pre-stores the resource upper limit threshold for each geographic unit. In the lookup table, during the traversal of the compensation priority sequence, the processor uses a conditional triggering mechanism of logic gates to determine whether the trial value after accumulating a unit step size of 1 exceeds a preset threshold in the lookup table. Based on the determination result, a control signal is generated to switch the addressing direction of the logic pointer, thus truncating the total number of remaining items. The data is passed between the underlying nodes according to the sorting rules until the register value of the total truncated item is reduced to 0, thus completing the numerical alignment of the global total constraint in the distributed system architecture.

[0066] Example 5: In an administrative management scenario where forest stock volume quotas are allocated through multi-level control nodes, the processor retrieves the total forest stock volume quota issued by the superior unit from the distributed memory via the data bus. and initial statistical data for each geographic patch. The logic operation units calculate the coupling coefficient according to the initial distribution ratio. ,in ,in, The coupling coefficient is... The total forest stock volume target assigned by the higher-level administrative unit. For the first The processor calculates the initial statistical data of each lower-level administrative unit based on the coupling coefficient. Calculate the initial decomposition quantity And according to the formula Extract the total amount of the truncated remainder. ,in, To cut off the total amount of remaining items, For the first The initial breakdown of the quantity of each lower-level administrative unit.

[0067] The sequence construction module performs a quick sort on the map patch nodes according to the initial decomposition amount, and uses the administrative division code as a secondary sorting key to establish a unique compensation priority sequence. The discrimination circuit compares the sum of the initial decomposition amount and the unit step size 1 of each sequence node to see if it is greater than the corresponding geographic unit resource upper limit threshold. Among them, the upper limit threshold of geographical unit resources Based on the annual growth rate constant of the map patch Through formula If the level signal output by the comparator indicates that the numerical space of the current node meets the condition for absorbing the remainder, the processor writes the new value after incrementing by 1 to the current node and decrements the register value of the total truncated remainder. Otherwise, a state switching instruction is triggered to pass the remainder to the subsequent address in the sequence until the register value of the total truncated remainder is zero, thus completing the numerical alignment of the global total control index with the sum of the statistical data of the local unit.

[0068] The embodiments of this application have been described above with reference to the accompanying drawings. Unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other. This application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit of this application and the scope of protection of this invention, and all of these forms are within the protection scope of this application.

Claims

1. A multi-level control point-area coupling method for forest stock volume, characterized in that, Includes the following steps: Step 101: Obtain the total forest stock volume target issued by the superior administrative unit, as well as the initial statistical data of the subordinate administrative units; Step 102: Based on the distribution ratio of the initial statistical data of each lower-level administrative unit in its superior administrative unit, decompose the total forest stock volume index into the preliminary decomposition amount of each lower-level administrative unit, and extract the total amount of the truncated remainder generated by the decomposition calculation. Step 103: Retrieve the upper limit threshold of the geographical unit resources associated with each lower-level administrative unit, and construct a compensation priority sequence with the preliminary decomposition amount as the first sorting key and the administrative division code of the lower-level administrative unit as the second sorting key; Step 104: Traverse the compensation priority sequence in order and determine whether the sum of the initial decomposition amount of the current node and the truncation remainder of the preset unit step size is less than or equal to the upper limit threshold of the geographic unit resources. Step 105: If the judgment result is yes, then the initial decomposition amount is accumulated by the truncated remainder of unit step length, and the total amount of truncated remainder is updated. If the judgment result is negative, the initial decomposition amount of the current node remains unchanged, and the truncated remainder of unit step size is passed to the subsequent nodes of the compensation priority sequence until the total amount of truncated remainder is fully allocated. Step 106: Output the updated preliminary breakdown of each lower-level administrative unit as the indicator for determining forest stock volume.

2. The multi-level control point-area coupling method for forest stock volume according to claim 1, characterized in that, Step 102 further includes: Step 1021, constructing each level of administrative unit into a tree topology and decomposing it level by level using a depth-first traversal strategy; Step 1022, transmitting the verified forest stock volume index output by the upper-level nodes as the lower-level control benchmark, establishing a closed-loop transmission path between levels triggered by numerical instructions, so that the sum of the verified forest stock volume indexes of the lower-level administrative units is equal to the total forest stock volume index.

3. The multi-level control point-area coupling method for forest stock volume according to claim 1, characterized in that, Step 103 further includes: Step 1031, extracting the upper limit threshold of geographical unit resources from the administrative ledger database, wherein the upper limit threshold of geographical unit resources is set as the minimum legal stock limit value corresponding to each lower-level administrative unit; Step 1032, when there are multiple lower-level administrative units with equal preliminary decomposition amounts in the compensation priority sequence, the compensation order is established by using the ascending order of administrative division codes to eliminate randomness in the data allocation process.

4. The multi-level control point-area coupling method for forest stock volume according to claim 1, characterized in that, In step 104, the differential absorption path is reconstructed using the conditional switching of logical pointers; the truncation remainder with a unit step size is set as the minimum calculation precision unit for the total amount of truncation remainder.

5. The multi-level control point-area coupling method for forest stock volume according to claim 1, characterized in that, In step 105, node state switching is implemented through dynamic arbitration rules; when the logical judgment trial value is greater than the upper limit threshold of the geographic unit resource, the unsaturated node in the compensation priority sequence is located, and the truncated remainder of unit step size is allocated to the unsaturated node. Unsaturated nodes are data nodes whose value after truncation of the cumulative unit step length does not exceed the upper limit threshold of the geographic unit resource.

6. The multi-level control point-area coupling method for forest stock volume according to claim 1, characterized in that, The indicators for determining forest stock volume include statistical components of province, county, origin, tree species, and map patch dimensions; parent-child node constraint relationships are established between each dimension through a tree topology structure.

7. The multi-level control point-area coupling method for forest stock volume according to claim 1, characterized in that, It also includes: step 107, monitoring the deviation coefficient of the verified forest stock volume index relative to the initial statistical data; step 108, if the deviation coefficient exceeds the preset rate of change threshold, generating a data status warning signal, which is used to indicate abnormal fluctuations in the stock volume of the corresponding administrative unit.

8. The multi-level control point-area coupling method for forest stock volume according to claim 1, characterized in that, Initial statistical data are obtained synchronously through a distributed database; the total forest stock volume index includes forest coverage constraint index and total control index; in step 102, a greedy allocation logic is used to transform the geographic patch data coupling process into a linear operation based on priority queue pointer movement.

9. The multi-level control point-area coupling method for forest stock volume according to claim 1, characterized in that, In step 105, the truncation remainder per unit step is allocated through a cyclic determination process until the remaining amount of the total truncation remainder is reduced to 0.

10. A system for implementing a multi-level control point-area coupling method for forest stock volume as described in claim 1, characterized in that, include: The data retrieval module is used to retrieve the total forest stock volume index and the initial statistical data of lower-level administrative units; The indicator decomposition module is used to decompose the total forest stock volume indicator into the initial decomposition amount of each lower-level administrative unit according to the initial distribution ratio of each lower-level administrative unit in its superior administrative unit, and to extract the total amount of the truncated residual item generated by the decomposition calculation. The sequence construction module is used to obtain the upper limit threshold of the geographical unit resources associated with each lower-level administrative unit, and construct a compensation priority sequence with the initial decomposition amount as the first sorting key and the administrative division code of the lower-level administrative unit as the second sorting key. The compliance judgment module is used to traverse the compensation priority sequence in order and determine whether the sum of the initial decomposition amount of the current node and the truncated remainder of the preset unit step size is less than or equal to the upper limit threshold of the geographical unit resources. The dynamic compensation module is used to add the truncated remainder by a unit step size to the initial decomposition quantity when the judgment result is yes, and update the total amount of the truncated remainder. When the judgment result is negative, the initial decomposition amount of the current node remains unchanged, and the truncated remainder of unit step size is passed to the subsequent nodes of the compensation priority sequence until the total amount of truncated remainder is fully allocated; the result output module is used to output the updated initial decomposition amount of each lower-level administrative unit as the indicator for verifying forest stock volume.

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