Animal experiment process management system based on surgical stage deduction

Abstract

The application discloses an animal experiment process management system based on operation stage deduction, relates to the field of comprehensive biological verification systems, and solves the problems of linear arrangement of operation items without execution constraints, easy step disorder, single-stage statistics without cross-stage checking, easy time sequence logic damage, unified storage of information archiving without hierarchical and node checking, and low data retrieval efficiency in the prior art. The system comprises an item hierarchical configuration, operation data acquisition, stage process deduction, operation information archiving and node checking modules, and through hierarchical identification and preposition dependent parameter configuration hierarchical unlocking rules, combined with weight accumulation and presequence residual deduction, stage advancement determination is completed, operation information is archived in different domains through attribute threshold comparison, and archiving verification is completed through node two-dimensional checking. The application can standardize animal operation sequence, improve stage deduction rigor and archiving retrieval efficiency, form a full-link closed-loop management and control logic, and adapt to various animal operation scenes.

Description

Technical Field

[0001] This invention relates to the field of integrated biovalidation systems technology, and in particular to an animal experimental process management system based on surgical phase extrapolation. Background Technology

[0002] The field of integrated biovalidation system technology includes technologies related to animal experiment process control, surgical stage simulation, and digital management of biological experiment processes. The core of this field revolves around the standardized control of the entire biological experiment process, covering the process management of each stage, from preoperative planning to intraoperative execution and postoperative archiving. It conducts process control of biological experiments through phased process division and matching of operation nodes, providing standardized process management technical support for various animal experiments.

[0003] Among them, the animal experiment process management system based on surgical stage extrapolation refers to the process management technology applied to animal surgical experiment scenarios. This technology pre-sets the operation items corresponding to each stage of the surgery for the stage division, process matching and operation recording of animal surgical experiments, collects operation step data in the experimental process to match the corresponding surgical stage, and records the experimental operation information according to the preset stage progression order.

[0004] Existing technologies arrange operation items in a linear sequence, with no execution constraints between items. This can easily lead to reversed operation order and omissions of critical steps during actual surgical procedures. For example, in rat abdominal surgery, without pre-defined rules for vascular ligation and tissue incision, operators can arbitrarily adjust the execution order, directly affecting the standardization of experimental procedures and data reliability. Existing technologies only statistically analyze the completion status of operations at the current surgical stage, without verifying incomplete items from previous stages. This can easily lead to the need to complete previous operations or disrupt the workflow during the progression of stages. For example, an incomplete disinfection step during skin incision might be performed later in muscle separation, disrupting the temporal logic of experimental operations and interfering with unified control of the experimental process. Existing technologies archive operation information in a uniform storage format without differentiating core attributes. Subsequent experimental traceability and compliance verification require a full traversal of node data, resulting in time-consuming retrieval and insufficient identification of key information. Furthermore, the lack of node-level archiving compliance verification makes it prone to missing or incomplete archived data, failing to meet the needs of refined control in animal experiments. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing technologies by proposing an animal experimental process management system based on surgical stage extrapolation.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: an animal experiment process management system based on surgical stage simulation, the system comprising: an item-level configuration module, an operation data acquisition module, a stage process simulation module, an operation information archiving module, and a node status verification module; The item hierarchy configuration module: obtains animal surgical operation items, assigns hierarchical identifier parameters and prerequisite dependency number parameters, counts the total number of items in the hierarchy and the number of prerequisite dependency items, and calculates the hierarchy unlocking determination coefficient; The operation data acquisition module: collects animal surgical operation step data, matches operation item identifiers, calculates the execution time and execution order parameters of a single operation, and generates operation execution status parameters; The phase process deduction module calls the level unlocking judgment coefficient and operation execution status parameters, extracts the current level item completion status parameters, accumulates the completed item weight values, calculates the current stage weight completion ratio, calculates the weight deduction value of the items left over from the previous stage, compares the actual completion value with the stage advancement threshold, and obtains the stage advancement trigger parameters. The operation information archiving module: calls the stage advancement trigger parameters, extracts the attribute identifier parameters of a single operation information, compares the attribute parameters with the core archiving judgment threshold, divides the information storage domain, and generates archiving domain mapping parameters; The node status verification module calls the archive domain mapping parameters to check the number of archived entries and the total number of operation entries within the node, compares the node completion value with the node compliance threshold, and obtains the node archive verification value.

[0007] As a further aspect of the present invention, the item-level configuration module includes a parameter assignment submodule, an item statistics submodule, and a coefficient calculation submodule; The parameter assignment submodule: obtains animal surgical operation items, extracts the corresponding number of each operation item, synchronously assigns hierarchical identifier parameters and pre-dependency number parameters to a single operation item, establishes a one-to-one correspondence between the item number and the two types of parameters, verifies the accuracy of parameter assignment line by line, traverses all operation items to complete the full parameter assignment, and generates item parameter mapping values; The item statistics submodule calls the item parameter mapping value, divides the item to the level according to the level identifier parameter, counts the total number of items contained in each level, counts the number of corresponding predecessor dependent items in each level, verifies the matching relationship between the count results and the total number of items, completes the sum of the counts of all levels, and obtains the level item count value. The coefficient calculation submodule calls the level entry count value, performs a ratio operation on the number of prerequisite dependent entries of a single level and the total number of entries of the corresponding level, completes the numerical conversion by combining the level sequence number parameter, verifies the logical consistency of the calculation results level by level, traverses all levels to complete the corresponding calculation, and obtains the level unlocking judgment coefficient.

[0008] As a further aspect of the present invention, the operation data acquisition module includes a step acquisition submodule, an item identifier matching submodule, and a status parameter generation submodule; The step acquisition submodule: collects data on animal surgical operation steps, records the start and end time nodes of each step, marks the corresponding sequence number of each step, verifies the completeness of the data collection for each step, checks the continuity of the sequence number and the order of the time nodes, checks for misaligned or missing time nodes, traverses all operation steps to complete the full data collection, and generates the time sequence values ​​of the operation steps. The item identifier matching submodule: calls the operation step timing value, extracts the sequence number corresponding to each operation step, matches the sequence number with the preset operation item identifier one by one, checks the uniqueness of the identifier matching, checks for duplicate matching and missing matching items, verifies the logical consistency of the corresponding relationship and the coverage of the item, traverses all operation steps to complete the identifier matching, and obtains the item matching mapping value. The status parameter generation submodule: calls the entry matching mapping value, counts the execution duration value and execution order parameter corresponding to a single operation, verifies the accuracy of the duration calculation and the correspondence with the order parameter, verifies the binding relationship and coverage integrity between the parameter and the entry identifier, traverses all operation entries to complete the parameter summary, and generates the operation execution status parameter.

[0009] As a further aspect of the present invention, the stage process deduction module includes a weight accumulation submodule, a proportion conversion submodule, and a progress determination submodule; The weight accumulation submodule calls the level unlock judgment coefficient and operation execution status parameters, extracts the completion status parameters of the current level item, matches the corresponding weight value for each item, accumulates the weight value of the completed items, verifies the binding relationship between the weight value and the item identifier, verifies the accuracy of the accumulation calculation result, checks for missing items and duplicate accumulation anomalies, traverses all items in the current level to complete the full weight summary, and generates the accumulated weight value of the completed items. The percentage conversion submodule: calls the accumulated weight value, calculates the percentage of weight completion in the current stage, extracts the corresponding weight values ​​of the items left over from the previous stage, converts the weight deduction values ​​of the items left over from the previous stage according to the conversion rules, checks the matching degree between the percentage calculation logic and the conversion rules, verifies the rationality of the deduction value, completes the calculation of the actual completed value in the current stage, and obtains the actual completed value. The advancement determination submodule: calls the actual completed value, extracts the preset stage advancement threshold, compares the actual completed value with the stage advancement threshold, verifies the adaptability of the threshold determination rule, checks the logical consistency of the comparison result, completes the stage advancement trigger condition determination, and obtains the stage advancement trigger parameter.

[0010] As a further aspect of the present invention, the operation information archiving module includes an attribute extraction submodule, a threshold comparison submodule, and a domain mapping generation submodule; The attribute extraction submodule: calls the stage advancement trigger parameters, extracts the attribute identifier parameters of a single operation information, checks the binding relationship between the attribute identifier and the operation information one by one, verifies the compliance and format specifications of the identifier parameter values, checks for missing and duplicate identifier anomalies, traverses all operation information in the current stage to complete the full attribute extraction, and generates attribute identifier mapping values; Threshold comparison submodule: Calls the attribute identifier mapping value, extracts the preset core archiving judgment threshold, compares the attribute identifier parameter of a single piece of information with the core archiving judgment threshold one by one, checks the adaptability of the threshold judgment rule, verifies the correspondence and logical consistency of the comparison results, traverses all operation information to complete the storage domain ownership judgment, and obtains the storage domain division value. Domain mapping generation submodule: Calls the storage domain partitioning value, partitions the information storage domains according to the belonging result, establishes the mapping relationship between operation information and its belonging storage domain, verifies the integrity and uniqueness of the mapping relationship coverage, checks for mapping misalignment and missing mapping anomalies, completes the full information storage domain mapping configuration, and generates archive domain mapping parameters.

[0011] As a further embodiment of the present invention, the node status verification module includes an item quantity verification submodule, a completion calculation submodule, and a compliance verification submodule; The item quantity verification submodule: calls the archive domain mapping parameters, counts the number of completed archived items in the node item by item, extracts the total number of preset operation items in the node, performs matching and verification on the two sets of values ​​one by one, verifies the integrity of the archived item coverage, checks for missing archives and duplicate archives, verifies the correspondence between the quantity statistics results and the mapping parameters, traverses all operation items in the node to complete the full quantity verification, and generates the archived item coverage value. The completion calculation submodule calls the archived item coverage value, performs a conversion calculation in combination with the weight parameters corresponding to the single operation item of the node, calculates the completion value of the node for each weight item, verifies the matching of the conversion calculation logic and the weight value, checks the correspondence between the completion value and the node item status, completes the full-dimensional completion value calculation of the node, and obtains the node completion value. The compliance verification submodule: calls the node completion value, extracts the preset node compliance threshold, compares the node completion value with the node compliance threshold one by one, verifies the adaptability of the threshold judgment rule to the node scenario, checks the logical consistency and value rationality of the comparison result, completes the full-state compliance verification of node archiving, and obtains the node archiving verification value.

[0012] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In this invention, execution constraints between operation items are established through the joint configuration of hierarchical identifier parameters and prerequisite dependency number parameters, replacing the linear arrangement of item settings. Operation item access permissions are gradually opened according to hierarchical unlocking rules, standardizing the execution order of animal surgical operations. By accumulating weight values ​​and deducting the weights of items left over from previous stages, a multi-dimensional basis for stage progression judgment is constructed, replacing the single item quantity statistics method. Combined with stage progression thresholds, process judgment is completed, improving the rigor and accuracy of surgical stage deduction. By comparing attribute identifier parameters with core archiving judgment thresholds, operation information is stored in separate domains, replacing the unified archiving storage method. Corresponding index parameters are generated synchronously to support rapid location, improving the retrieval efficiency and hierarchical differentiation of archived data. By comparing and verifying node completion values ​​with compliance thresholds, the integrity and compliance of archived data are ensured. A closed-loop control logic is formed throughout the entire chain, from item pre-setting to process deduction to archiving verification, adapting to different animal surgical experimental scenarios of different breeds and surgical procedures, improving the standardization of animal experimental process management and the accuracy of data control. Attached Figure Description

[0013] Figure 1 This is a system flowchart of the present invention. Detailed Implementation

[0014] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0015] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0016] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0017] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0018] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0019] Please see Figure 1 The present invention provides a technical solution: an animal experiment process management system based on surgical stage simulation, the system including: an item level configuration module, an operation data acquisition module, a stage process simulation module, an operation information archiving module, and a node status verification module; Item hierarchy configuration module: retrieves animal surgical operation items, assigns hierarchical identifier parameters and prerequisite dependency number parameters, counts the total number of items within the hierarchy and the number of prerequisite items, and calculates the hierarchy unlocking judgment coefficient; Operation data acquisition module: Collects data on animal surgical operation steps, matches operation item identifiers, calculates the execution time and execution order parameters of a single operation, and generates operation execution status parameters; The phase progress deduction module calls the level unlocking judgment coefficient and operation execution status parameters, extracts the completion status parameters of the current level item, accumulates the weight values ​​of completed items, calculates the current stage weight completion ratio, calculates the weight deduction value of the items left over from the previous stage, compares the actual completion value with the stage advancement threshold, and obtains the stage advancement trigger parameters. Operation information archiving module: calls phase advancement trigger parameters, extracts single operation information attribute identifier parameters, compares attribute parameters with core archiving judgment thresholds, divides information storage domains, and generates archiving domain mapping parameters; Node status verification module: calls the archive domain mapping parameters, verifies the number of archived entries within the node against the total number of operation entries, compares the node completion value with the node compliance threshold, and obtains the node archive verification value.

[0020] Furthermore, the item-level configuration module includes a parameter assignment submodule, an item statistics submodule, and a coefficient calculation submodule; The parameter assignment submodule retrieves animal surgical operation entries, extracts the corresponding number for each operation entry, synchronously assigns hierarchical identifier parameters and prerequisite dependency number parameters to a single operation entry, establishes a one-to-one correspondence between the entry number and the two types of parameters, verifies the accuracy of parameter assignment line by line, traverses all operation entries to complete the full parameter assignment, and generates entry parameter mapping values. Obtain animal surgical operation items, select 8 operation items corresponding to rat abdominal incision, extract the corresponding numbers 1 to 8 for each operation item, and simultaneously assign hierarchical identifier parameters and prerequisite dependency number parameters to each operation item. The hierarchical identifier parameters are set to two levels, 1 and 2, and the prerequisite dependency number parameters correspond to the numbers of the preceding items. Items without preceding items are assigned a value of 0. Establish a one-to-one correspondence between the item number and the two types of parameters, verify the uniqueness and format compliance of the parameter assignment for each item line by line, traverse all 8 operation items to complete the assignment of all parameters, and generate item parameter mapping values.

[0021] Item Statistics Submodule: Calls the item parameter mapping value, divides the item to the level according to the level identifier parameter, counts the total number of items contained in each level, simultaneously counts the number of corresponding predecessor dependent items for each level, verifies the matching relationship between the quantity statistics results and the total number of items, completes the quantity summary of all levels, and obtains the level item count value. Call the item parameter mapping value, divide the item to the level according to the level identifier parameter. Level 1 corresponds to 3 operation items, and level 2 corresponds to 5 operation items. Count the total number of items contained in each level. At the same time, count the number of prerequisite items corresponding to each level. The number of prerequisite items in level 1 is 0, and the number of prerequisite items in level 2 is 3. Check the matching relationship between the sum of the number of items in the two levels and the total number of items. Complete the summation of the number of all levels and obtain the level item count value.

[0022] The coefficient calculation submodule calls the level item count value, performs a ratio calculation between the number of prerequisite dependent items of a single level and the total number of items of the corresponding level, completes the numerical conversion by combining the level sequence number parameter, checks the logical consistency of the calculation results level by level, traverses all levels to complete the corresponding calculation, and obtains the level unlocking judgment coefficient. The system calls the level entry count value and performs a ratio calculation between the number of prerequisite dependent entries for a single level and the total number of entries for the corresponding level. The ratio for level 2 is 3 divided by 5, which equals 0.6. The system combines the level sequence number parameter to complete the numerical conversion. The weight of the level sequence number is consistent with the value of the level sequence number. The weight for level 2 is 2. The system checks the logical consistency of the calculation results level by level and iterates through all levels to complete the corresponding calculations, thus obtaining the level unlocking judgment coefficient.

[0023] Furthermore, the operation data acquisition module includes a step acquisition submodule, an item identifier matching submodule, and a status parameter generation submodule; Step-by-step data acquisition submodule: Collects data on animal surgical procedures, records the start and end times of each step, labels the sequence number of each step, verifies the completeness of the data for each step, checks the continuity of the sequence numbers and the order of the time nodes, checks for misaligned or missing time nodes, traverses all procedures to complete full data acquisition, and generates time sequence values ​​for each procedure. Animal surgical procedure data were collected. Four procedures corresponding to rat skin incision were selected. The start and end times of each procedure were recorded. For step 1, the start time was 0 seconds and the end time was 150 seconds. For step 2, the start time was 150 seconds and the end time was 300 seconds. Each procedure was labeled with a sequence number from 1 to 4. The inclusion status of the time parameters and number parameters of each procedure was checked one by one. The continuity of sequence numbers 1 to 4 and the order of time nodes were verified. Time node misalignment and missing items were checked. All four procedures were traversed to complete the full data collection and generate the time sequence values ​​of the procedures.

[0024] Item Identifier Matching Submodule: Calls the timing values ​​of operation steps, extracts the sequence number corresponding to each operation step, matches the sequence number with the preset operation item identifier one by one, checks the uniqueness of the identifier matching, checks for duplicate and missing matching items, verifies the logical consistency of the correspondence relationship and the coverage of the items, traverses all operation steps to complete the identifier matching, and obtains the item matching mapping value. Call the timing values ​​of the operation steps, extract the sequence numbers 1 to 4 corresponding to each operation step, and match the sequence numbers with the preset operation item identifiers S01 to S04 one by one. Number 1 corresponds to identifier S01, number 2 corresponds to identifier S02, check the uniqueness of the identifier matching of each set of correspondences, check for duplicate matching and missing matching items, verify the logical consistency of the correspondence and the coverage of the items, traverse all 4 operation steps to complete the identifier matching, and obtain the item matching mapping value.

[0025] The status parameter generation submodule calls the entry matching mapping value, counts the execution duration value and execution order parameters corresponding to a single operation, verifies the accuracy of the duration calculation and the correspondence with the order parameters, verifies the binding relationship and coverage integrity between parameters and entry identifiers, traverses all operation entries to complete parameter summary, and generates operation execution status parameters. The system calls the entry matching mapping value, counts the execution duration value and execution order parameter corresponding to a single operation. The execution duration is obtained by subtracting the start time node value from the end time node value. The duration corresponding to step 1 is 150 seconds. The execution order parameter value is consistent with the sequence number. The system verifies the accuracy of the duration calculation and the correspondence with the order parameter, checks the binding relationship and coverage integrity between the parameter and the entry identifier, traverses all operation entries to complete the parameter summary, and generates operation execution status parameters.

[0026] Furthermore, the phased process simulation module includes a weight accumulation submodule, a percentage conversion submodule, and a progress determination submodule; The weight accumulation submodule calls the level unlock judgment coefficient and operation execution status parameters, extracts the completion status parameters of the current level item, matches the corresponding weight value for each item, accumulates the weight value of the completed items, verifies the binding relationship between the weight value and the item identifier, verifies the accuracy of the accumulation calculation result, checks for missing items and duplicate accumulation anomalies, traverses all items in the current level to complete the full weight summary, and generates the accumulated weight value of the completed items. The system calls the hierarchical unlocking judgment coefficient and operation execution status parameters, selects 4 operation items within the rat skin incision stage level, with corresponding weight values ​​of 0.2, 0.3, 0.3, and 0.2 respectively, extracts the completion status parameters of the current level items, and identifies the first 3 items as completed. It matches the corresponding weight values ​​for each item, accumulates the weight values ​​of the completed items to obtain a total value of 0.8, verifies the binding relationship between the weight values ​​and item identifiers, checks the accuracy of the accumulation calculation results, checks for missing items and duplicate accumulation anomalies, traverses all items in the current level to complete the full weight summary, and generates the cumulative value of completed weights.

[0027] Percentage Conversion Submodule: Calls the accumulated weight value, calculates the percentage of weight completion in the current stage, extracts the corresponding weight values ​​of the items left over from the previous stage, converts the weight deduction values ​​of the items left over from the previous stage according to the conversion rules, checks the matching degree between the percentage calculation logic and the conversion rules, verifies the rationality of the deduction values, completes the calculation of the actual completed value in the current stage, and obtains the actual completed value. The system retrieves the accumulated weight value, with the total weight value for the current stage set to 1.0. It calculates the weight completion percentage for the current stage as the ratio of the accumulated weight value to the total weight value, corresponding to a value of 0.8. It extracts the weight value corresponding to the items left over from the previous skin preparation stage, which is 0.1. The conversion rule is that the remaining weight value is fully included in the deduction value, and the converted deduction value is 0.1. The system deducts the deduction value from the completion percentage value to obtain the accounting value. It checks the matching degree between the percentage calculation logic and the conversion rule, verifies the rationality of the deduction value, and completes the accounting of the actual completed value for the current stage to obtain the actual completed value.

[0028] Advancement Judgment Submodule: Calls the actual completed value, extracts the preset stage advancement threshold, compares the actual completed value with the stage advancement threshold, verifies the adaptability of the threshold judgment rule, checks the logical consistency of the comparison result, completes the stage advancement trigger condition judgment, and obtains the stage advancement trigger parameter; The actual completed value is retrieved, and the preset stage advancement threshold is extracted. The threshold is set to 0.7 with reference to the animal surgical experiment stage control standard. The actual completed value is compared with the stage advancement threshold. The adaptability of the threshold judgment rule is checked, the logical consistency of the comparison result is verified, the stage advancement trigger condition is determined, and the stage advancement trigger parameter is obtained.

[0029] Furthermore, the operation information archiving module includes an attribute extraction submodule, a threshold comparison submodule, and a domain mapping generation submodule; The attribute extraction submodule calls the stage advancement trigger parameters, extracts the attribute identifier parameters of a single operation information, checks the binding relationship between the attribute identifier and the operation information one by one, verifies the compliance and format specifications of the identifier parameter values, checks for missing and duplicate identifier anomalies, traverses all operation information in the current stage to complete the full attribute extraction, and generates attribute identifier mapping values. The system invokes the phase advancement trigger parameters, selects four operation information corresponding to the rat skin incision stage, extracts the attribute identifier parameters for each operation information, and sets the parameter values ​​to 0.9, 0.6, 0.8, and 0.5 respectively. It checks the binding correspondence between the attribute identifier and the operation information one by one, verifies the compliance and format standardization of the identifier parameter values ​​in the range of 0 to 1, and checks for missing and duplicate identifiers. It then traverses all operation information in the current stage to complete the full attribute extraction and generates attribute identifier mapping values.

[0030] Threshold comparison submodule: Calls the attribute identifier mapping value, extracts the preset core archiving judgment threshold, compares the attribute identifier parameter of a single piece of information with the core archiving judgment threshold one by one, checks the adaptability of the threshold judgment rule, verifies the correspondence and logical consistency of the comparison results, traverses all operation information to complete the storage domain ownership judgment, and obtains the storage domain division value. The attribute identifier mapping value is called to extract the preset core archiving judgment threshold. The threshold is set to 0.7 with reference to the animal surgery core operation definition standard. The attribute identifier parameter of each piece of information is compared with the core archiving judgment threshold one by one. If the attribute identifier parameter is greater than or equal to the threshold, it corresponds to the core storage affiliation. If it is less than the threshold, it corresponds to the regular storage affiliation. The adaptability of the threshold judgment rule is checked, and the correspondence and logical consistency of the comparison results are verified. All operation information is traversed to complete the storage domain affiliation judgment and obtain the storage domain division value.

[0031] Domain mapping generation submodule: Calls the storage domain partitioning value, partitions the information storage domains according to the belonging result, establishes the mapping relationship between operation information and its storage domain, verifies the integrity and uniqueness of the mapping relationship coverage, checks for mapping misalignment and missing mapping anomalies, completes the full information storage domain mapping configuration, and generates archive domain mapping parameters; The system calls the storage domain partitioning value, divides the core storage domain and the regular storage domain according to the affiliation result, establishes a one-to-one mapping relationship between a single operation information and its corresponding storage domain, verifies the integrity and uniqueness of the mapping relationship covering all operation information, checks for mapping misalignment and missing mapping anomalies, completes the full information storage domain mapping configuration, and generates archive domain mapping parameters.

[0032] Furthermore, the node status verification module includes an item quantity verification submodule, a completion calculation submodule, and a compliance verification submodule; Item Quantity Verification Submodule: Calls the archiving domain mapping parameters, counts the number of completed archived items in the node item by item, extracts the total number of preset operation items in the node, performs matching and verification on the two sets of values ​​one by one, verifies the integrity of the archived item coverage, checks for missing archives and duplicate archives, verifies the correspondence between the quantity statistics results and the mapping parameters, traverses all operation items in the node to complete the full quantity verification, and generates the archived item coverage value. Call the archive domain mapping parameters, select the rat skin incision surgery node, count the number of completed archived items in the node (value 3), extract the total number of preset operation items in the node (value 4), perform matching and verification on the two sets of values ​​one by one, verify the integrity of the archived item coverage, check for missing archived and duplicate archived abnormal items, verify the correspondence between the quantity statistics results and the mapping parameters, traverse all operation items in the node to complete the full quantity verification, calculate the ratio of the number of archived items to the total number of items, and generate the archived item coverage value.

[0033] The completion calculation submodule calls the coverage value of the archived items, performs a conversion calculation in combination with the weight parameters corresponding to the single operation items of the node, calculates the completion value of the node for each weight item, verifies the matching of the conversion calculation logic and the weight values, checks the correspondence between the completion value and the node item status, completes the full-dimensional completion value calculation of the node, and obtains the node completion value. The system retrieves the coverage value of archived entries. The weight parameters corresponding to the single operation entry of a node are sequentially set to 0.2, 0.3, 0.3, and 0.2. Combined with the weights of the archived entries, a conversion calculation is performed, and the weights of the archived entries are summed to obtain a total value of 0.8. The completion value of the node is calculated for each weight item, and the matching between the conversion calculation logic and the weight values ​​is verified. The correspondence between the completion value and the node entry status is checked, and the completion value of the node is calculated in all dimensions to obtain the node completion value.

[0034] The compliance verification submodule calls the node completion value, extracts the preset node compliance threshold, compares the node completion value with the node compliance threshold one by one, verifies the adaptability of the threshold judgment rule to the node scenario, checks the logical consistency and value rationality of the comparison results, completes the full-state compliance verification of node archiving, and obtains the node archiving verification value. The node completion value is retrieved, and the preset node compliance threshold is extracted. The threshold is set to 0.75 with reference to the animal experiment archiving management specifications. The node completion value and the node compliance threshold are compared to verify the adaptability of the threshold judgment rules to the node scenario. The logical consistency and reasonableness of the comparison results are verified to complete the full-state compliance verification of node archiving and obtain the node archiving verification value.

[0035] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An animal experimental process management system based on surgical stage deduction, characterized in that, The system includes: an item-level configuration module, an operation data acquisition module, a stage process deduction module, an operation information archiving module, and a node status verification module; The item hierarchy configuration module: obtains animal surgical operation items, assigns hierarchical identifier parameters and prerequisite dependency number parameters, counts the total number of items in the hierarchy and the number of prerequisite dependency items, and calculates the hierarchy unlocking determination coefficient; The operation data acquisition module: collects animal surgical operation step data, matches operation item identifiers, calculates the execution time and execution order parameters of a single operation, and generates operation execution status parameters; The phase process deduction module calls the level unlocking judgment coefficient and operation execution status parameters, extracts the current level item completion status parameters, accumulates the completed item weight values, calculates the current stage weight completion ratio, calculates the weight deduction value of the items left over from the previous stage, compares the actual completion value with the stage advancement threshold, and obtains the stage advancement trigger parameters. The operation information archiving module: calls the stage advancement trigger parameters, extracts the attribute identifier parameters of a single operation information, compares the attribute parameters with the core archiving judgment threshold, divides the information storage domain, and generates archiving domain mapping parameters; The node status verification module calls the archive domain mapping parameters to check the number of archived entries and the total number of operation entries within the node, compares the node completion value with the node compliance threshold, and obtains the node archive verification value.

2. The animal experiment process management system based on surgical stage deduction according to claim 1, characterized in that, The item-level configuration module includes a parameter assignment submodule, an item statistics submodule, and a coefficient calculation submodule; The parameter assignment submodule: obtains animal surgical operation items, extracts the corresponding number of each operation item, synchronously assigns hierarchical identifier parameters and pre-dependency number parameters to a single operation item, establishes a one-to-one correspondence between the item number and the two types of parameters, verifies the accuracy of parameter assignment line by line, traverses all operation items to complete the full parameter assignment, and generates item parameter mapping values; The item statistics submodule calls the item parameter mapping value, divides the item to the level according to the level identifier parameter, counts the total number of items contained in each level, counts the number of corresponding predecessor dependent items in each level, verifies the matching relationship between the count results and the total number of items, completes the sum of the counts of all levels, and obtains the level item count value. The coefficient calculation submodule calls the level entry count value, performs a ratio operation on the number of prerequisite dependent entries of a single level and the total number of entries of the corresponding level, completes the numerical conversion by combining the level sequence number parameter, verifies the logical consistency of the calculation results level by level, traverses all levels to complete the corresponding calculation, and obtains the level unlocking judgment coefficient.

3. The animal experiment process management system based on surgical stage extrapolation according to claim 1, characterized in that, The operation data acquisition module includes a step acquisition submodule, an item identifier matching submodule, and a status parameter generation submodule; The step acquisition submodule: collects data on animal surgical operation steps, records the start and end time nodes of each step, marks the corresponding sequence number of each step, verifies the completeness of the data collection for each step, checks the continuity of the sequence number and the order of the time nodes, checks for misaligned or missing time nodes, traverses all operation steps to complete the full data collection, and generates the time sequence values ​​of the operation steps. The item identifier matching submodule: calls the operation step timing value, extracts the sequence number corresponding to each operation step, matches the sequence number with the preset operation item identifier one by one, checks the uniqueness of the identifier matching, checks for duplicate matching and missing matching items, verifies the logical consistency of the corresponding relationship and the coverage of the item, traverses all operation steps to complete the identifier matching, and obtains the item matching mapping value. The status parameter generation submodule: calls the entry matching mapping value, counts the execution duration value and execution order parameter corresponding to a single operation, verifies the accuracy of the duration calculation and the correspondence with the order parameter, verifies the binding relationship and coverage integrity between the parameter and the entry identifier, traverses all operation entries to complete the parameter summary, and generates the operation execution status parameter.

4. The animal experiment process management system based on surgical stage deduction according to claim 1, characterized in that, The phase process deduction module includes a weight accumulation submodule, a proportion conversion submodule, and a progress determination submodule; The weight accumulation submodule calls the level unlock judgment coefficient and operation execution status parameters, extracts the completion status parameters of the current level item, matches the corresponding weight value for each item, accumulates the weight value of the completed items, verifies the binding relationship between the weight value and the item identifier, verifies the accuracy of the accumulation calculation result, checks for missing items and duplicate accumulation anomalies, traverses all items in the current level to complete the full weight summary, and generates the accumulated weight value of the completed items. The percentage conversion submodule: calls the accumulated weight value, calculates the percentage of weight completion in the current stage, extracts the corresponding weight values ​​of the items left over from the previous stage, converts the weight deduction values ​​of the items left over from the previous stage according to the conversion rules, checks the matching degree between the percentage calculation logic and the conversion rules, verifies the rationality of the deduction value, completes the calculation of the actual completed value in the current stage, and obtains the actual completed value. The advancement determination submodule: calls the actual completed value, extracts the preset stage advancement threshold, compares the actual completed value with the stage advancement threshold, verifies the adaptability of the threshold determination rule, checks the logical consistency of the comparison result, completes the stage advancement trigger condition determination, and obtains the stage advancement trigger parameter.

5. The animal experiment process management system based on surgical stage deduction according to claim 1, characterized in that, The operation information archiving module includes an attribute extraction submodule, a threshold comparison submodule, and a domain mapping generation submodule; The attribute extraction submodule: calls the stage advancement trigger parameters, extracts the attribute identifier parameters of a single operation information, checks the binding relationship between the attribute identifier and the operation information one by one, verifies the compliance and format specifications of the identifier parameter values, checks for missing and duplicate identifier anomalies, traverses all operation information in the current stage to complete the full attribute extraction, and generates attribute identifier mapping values; Threshold comparison submodule: Calls the attribute identifier mapping value, extracts the preset core archiving judgment threshold, compares the attribute identifier parameter of a single piece of information with the core archiving judgment threshold one by one, checks the adaptability of the threshold judgment rule, verifies the correspondence and logical consistency of the comparison results, traverses all operation information to complete the storage domain ownership judgment, and obtains the storage domain division value. Domain mapping generation submodule: Calls the storage domain partitioning value, partitions the information storage domains according to the belonging result, establishes the mapping relationship between operation information and its belonging storage domain, verifies the integrity and uniqueness of the mapping relationship coverage, checks for mapping misalignment and missing mapping anomalies, completes the full information storage domain mapping configuration, and generates archive domain mapping parameters.

6. The animal experiment process management system based on surgical stage deduction according to claim 1, characterized in that, The node status verification module includes an item quantity verification submodule, a completion calculation submodule, and a compliance verification submodule. The item quantity verification submodule: calls the archive domain mapping parameters, counts the number of completed archived items in the node item by item, extracts the total number of preset operation items in the node, performs matching and verification on the two sets of values ​​one by one, verifies the integrity of the archived item coverage, checks for missing archives and duplicate archives, verifies the correspondence between the quantity statistics results and the mapping parameters, traverses all operation items in the node to complete the full quantity verification, and generates the archived item coverage value. The completion calculation submodule calls the archived item coverage value, performs a conversion calculation in combination with the weight parameters corresponding to the single operation item of the node, calculates the completion value of the node for each weight item, verifies the matching of the conversion calculation logic and the weight value, checks the correspondence between the completion value and the node item status, completes the full-dimensional completion value calculation of the node, and obtains the node completion value. The compliance verification submodule: calls the node completion value, extracts the preset node compliance threshold, compares the node completion value with the node compliance threshold one by one, verifies the adaptability of the threshold judgment rule to the node scenario, checks the logical consistency and value rationality of the comparison result, completes the full-state compliance verification of node archiving, and obtains the node archiving verification value.

Images