CN-121979585-A - Intelligent deployment and loading method and system for mapping equipment

CN121979585ACN 121979585 ACN121979585 ACN 121979585ACN-121979585-A

Abstract

The invention relates to the technical field of data processing and discloses an intelligent deployment and loading method and system of mapping equipment, wherein the method comprises the steps of analyzing a task request of the mapping equipment, and carrying out structural coupling on task area information, mapping precision requirements and task time limit in the task request to obtain task description information; the method comprises the steps of carrying out multi-level deconstruction on mapping equipment to obtain a subtask set between an execution sequence and a dependency relationship, carrying out multi-objective collaborative matching on the subtask set, carrying out self-adaptive resource allocation on a matched result to obtain a task binding scheme, constructing a three-dimensional dynamic deployment map, generating a loading instruction set according to the three-dimensional dynamic deployment map, and executing the loading instruction set to obtain a special mapping rule and collaborative configuration parameters, and carrying out collaborative optimization on the three-dimensional dynamic deployment map and the loading instruction set based on the special mapping rule and the collaborative configuration parameters to obtain an optimized deployment scheme.

Inventors

SUN XINGWEI
SONG WENWEN
JIN YANJUN
TIAN QINGLI

Assignees

菏泽市测绘院

Dates

Publication Date: 20260505
Application Date: 20251231

Claims (10)

1. An intelligent deployment and loading method for mapping equipment is characterized by comprising the following steps: S1, analyzing a task request of mapping equipment, and carrying out structural coupling on task area information, mapping precision requirements and task time limit in the task request to obtain task description information of the mapping equipment; s2, performing multi-level deconstructment on the mapping equipment based on the task description information to obtain a subtask set between an execution sequence and a dependency relationship in the mapping equipment; s3, performing multi-objective collaborative matching on the subtask set based on the equipment resource state library of the mapping equipment, and performing self-adaptive resource allocation on the matched result to obtain a task binding scheme of the mapping equipment; S4, constructing a three-dimensional dynamic deployment map of the mapping equipment by taking the space layout in the task binding scheme as a first dimension, the working time sequence as a second dimension and the communication coordination relationship as a third dimension; S5, generating a loading instruction set of the mapping equipment according to the three-dimensional dynamic deployment map, and executing the loading instruction set to obtain a special mapping rule and a collaborative configuration parameter of the mapping equipment; S6, based on the special mapping procedure and the collaborative configuration parameters, collaborative optimization is carried out on the three-dimensional dynamic deployment map and the loading instruction set so as to obtain an optimized deployment scheme of the mapping equipment.
2. The intelligent deployment and loading method of mapping equipment according to claim 1, wherein the analyzing the task request of the mapping equipment and performing structural coupling on task area information, mapping precision requirements and task time limit in the task request to obtain task description information of the mapping equipment comprises: Receiving a task request of mapping equipment, and performing format verification on the task request to obtain a verified task request of the mapping equipment; Extracting task area information, mapping precision requirements and task time limit in the verified task request; Carrying out standardized processing on the task area information, the mapping precision requirement and the task time limit to obtain standard area information, standard precision requirement and standard task time limit of the mapping equipment; and carrying out structural combination on the standard region information, the standard precision requirement and the standard task time limit to obtain the task description information of the mapping equipment.
3. The intelligent deployment and loading method of mapping equipment according to claim 1, wherein the performing multi-level deconstructing on the mapping equipment based on the task description information to obtain a subtask set between an execution sequence and a dependency relationship in the mapping equipment comprises: performing element decomposition on the task description information to obtain an information element set of the mapping equipment; Performing multidimensional matching mapping on the elements in the information element set and rules in a historical deconstructing rule base of the mapping equipment to obtain a task deconstructing scheme of the information element set; establishing a dependency relationship of the task deconstructing scheme according to the logic association among the tasks in the task deconstructing scheme; Reconstructing the coupling relation of the dependency relation to obtain a task dependency relation network of the mapping equipment; And based on the task dependency relationship network, performing topological sorting on the mapping equipment, and performing logic grouping on the sorted result to obtain a subtask set between the execution sequence and the dependency relationship in the mapping equipment.
4. The intelligent deployment and loading method of mapping equipment according to claim 1, wherein the performing multi-objective collaborative matching on the subtask set based on the equipment resource state library of the mapping equipment, and performing adaptive resource allocation on the matched result to obtain a task binding scheme of the mapping equipment comprises: analyzing an equipment resource state library of the mapping equipment to obtain static capacity parameters and dynamic state parameters of the mapping equipment; carrying out bimodal fusion on the static capacity parameter and the dynamic state parameter to obtain a comprehensive resource capacity parameter of the mapping equipment; performing multidimensional comparison on the resource demand attribute among different tasks in the subtask set and the comprehensive resource capacity parameter to obtain a comparison result of the subtask set; performing multi-level screening on the comparison result based on the historical running state data of the mapping equipment to obtain a primary matching result set of the subtask set; Identifying resource conflict links and load imbalance links existing in candidate equipment matching schemes in the primary matching result set; based on a preset self-adaptive adjustment strategy, carrying out resource redistribution on the resource conflict link and the load imbalance link to obtain an optimized matching scheme of the subtask set; and carrying out binding verification on the optimization matching scheme and the execution logic of the subtask set to obtain a task binding scheme of the mapping equipment.
5. The intelligent deployment and loading method of mapping equipment according to claim 4, wherein the resource reallocating the resource conflict link and the load imbalance link based on a preset adaptive adjustment policy to obtain an optimized matching scheme of the subtask set comprises: Performing root classification on the resource conflict links to obtain equipment capability conflict types and space-time overlapping conflict types of the mapping equipment; carrying out quantitative evaluation on the distribution deviation of the load unbalance link to obtain the load difference degree in the mapping equipment; constructing a collaborative adjustment target of the mapping equipment according to the equipment capability conflict type, the space-time overlapping conflict type and the load difference degree; performing multidimensional disassembly on the collaborative adjustment target to obtain an equipment capacity remapping scheme, a task time sequence resetting scheme and a task load transferring scheme of the mapping equipment; strategic reconstruction is carried out on the equipment capability remapping scheme, the task time sequence resetting scheme and the task load transferring scheme to obtain a preliminary reassignment strategy set of the mapping equipment; And performing multi-objective optimization on the preliminary reassignment strategy set to obtain an optimized matching scheme of the subtask set.
6. The intelligent deployment and loading method of mapping equipment according to claim 1, wherein the constructing a three-dimensional dynamic deployment map of the mapping equipment by using a spatial layout in the task binding scheme as a first dimension, a working time sequence as a second dimension, and a communication coordination relationship as a third dimension comprises: Extracting deployment position information, inter-equipment logic distance information and task area boundary information in the mapping equipment from the task binding scheme; Performing topological relation construction on the deployment position information, the inter-equipment logic distance information and the task area boundary information to obtain the spatial layout of the mapping equipment; Extracting the planned starting time, the predicted duration and the task sequence constraint in the subtask set from the task binding scheme; Determining a working time sequence of the mapping equipment according to the planned starting time, the expected duration and the task sequence constraint; Extracting data transmission requirements, instruction response relations and state synchronization requirements among the mapping devices from the task binding scheme; performing interaction rule coupling on the data transmission requirement, the instruction response relationship and the state synchronization requirement to obtain a communication coordination relationship of the mapping equipment; Mapping the spatial layout to a first dimensional coordinate sequence of the mapping equipment, mapping the working time sequence to a second dimensional coordinate sequence of the mapping equipment, and mapping the communication coordination relation to a third dimensional coordinate sequence of the mapping equipment; and carrying out mapping treatment on the first dimensional coordinate sequence, the second dimensional coordinate sequence and the third dimensional coordinate sequence to obtain a three-dimensional dynamic deployment map of the mapping equipment.
7. The intelligent deployment and loading method of mapping equipment according to claim 1, wherein the generating a loading instruction set of the mapping equipment according to the three-dimensional dynamic deployment map and executing the loading instruction set to obtain a specific mapping procedure and a collaborative configuration parameter of the mapping equipment comprises: performing topology analysis on the three-dimensional dynamic deployment map to extract spatial position attributes and time sequence window attributes of mapping equipment corresponding to nodes in the three-dimensional dynamic deployment map and logic dependency strength among the mapping equipment corresponding to edges; constructing a comprehensive deployment feature vector of the node according to the spatial position attribute, the time sequence window attribute and the logic dependency strength, and calculating a cooperative deployment weight value of the node; Based on the collaborative deployment weight value, descending order arrangement is carried out on the nodes, and a structured loading instruction set of the nodes is generated according to the arrangement order; The loading instruction set is sent and executed to the mapping equipment in sequence, and execution confirmation and parameter feedback information fed back by the mapping equipment are synchronously received; And carrying out fusion check on the execution confirmation and the parameter feedback information to obtain the special mapping procedure and the collaborative configuration parameters of the mapping equipment.
8. The intelligent deployment and loading method of mapping equipment according to claim 7, wherein the calculation formula of the collaborative deployment weight value is: ; In the formula, Is a node Is used to determine the co-deployment weight value of (1), For the preset weight adjustment factor to be used, Is a node Is provided with an independent deployment emergency score of (1), Is a node There is a set of directly associated nodes of a direct logical dependency, Is a node Associated node The strength of the logical dependence between them, For associated nodes Is a topology influencing factor of (a).
9. The intelligent deployment and loading method of mapping equipment according to claim 1, wherein the collaborative optimization of the three-dimensional dynamic deployment map and the loading instruction set based on the dedicated mapping procedure and collaborative configuration parameters to obtain an optimized deployment scheme of the mapping equipment comprises: Extracting a cooperative efficacy target and configuration constraint conditions defined in the special mapping procedure, and simultaneously acquiring actual state feedback after equipment in the cooperative configuration parameters is initially loaded; Based on the collaborative efficacy target, the configuration constraint condition and the actual state feedback, carrying out logic consistency evaluation on node deployment attributes and side association relations in the three-dimensional dynamic deployment map; generating a topology adjustment strategy of the three-dimensional dynamic deployment map according to the logical consistency evaluation result; based on the topology adjustment strategy, carrying out adaptive reconstruction on the loading instruction set to obtain an optimized instruction set of the mapping equipment; applying the topology adjustment strategy to the three-dimensional dynamic deployment map to obtain an optimized deployment map of the mapping device; and taking the optimized deployment map and the optimized instruction set as an optimized deployment scheme of the mapping equipment.
10. A mapping device intelligent deployment and loading system for implementing the mapping device intelligent deployment and loading method of claim 1, the system comprising: The task analysis structuring module is used for analyzing a task request of the mapping equipment and carrying out structural coupling on task area information, mapping precision requirements and task time limit in the task request to obtain task description information of the mapping equipment; The task decomposition dependency management module is used for carrying out multi-level deconstruction on the mapping equipment based on the task description information to obtain a subtask set between an execution sequence and a dependency relationship in the mapping equipment; The resource matching and distributing module is used for carrying out multi-target collaborative matching on the subtask set based on the equipment resource state library of the mapping equipment, and carrying out self-adaptive resource distribution on the matched result to obtain a task binding scheme of the mapping equipment; the three-dimensional deployment modeling module is used for constructing a three-dimensional dynamic deployment map of the mapping equipment by taking the space layout in the task binding scheme as a first dimension, the working time sequence as a second dimension and the communication coordination relationship as a third dimension; The instruction rule generating module is used for generating a loading instruction set of the mapping equipment according to the three-dimensional dynamic deployment map and executing the loading instruction set to obtain a special mapping rule and a collaborative configuration parameter of the mapping equipment; And the collaborative optimization module is used for collaborative optimization of the three-dimensional dynamic deployment map and the loading instruction set based on the special mapping procedure and collaborative configuration parameters so as to obtain an optimized deployment scheme of the mapping equipment.

Description

Intelligent deployment and loading method and system for mapping equipment Technical Field The invention relates to the technical field of data processing, in particular to an intelligent deployment and loading method and system for mapping equipment. Background The prior art has obvious defects in task analysis and subtask splitting links of mapping equipment deployment, does not carry out structural coupling processing on task area information, mapping precision requirements and task time limit in task requests, only simply extracts scattered task elements, causes fuzzy task description and cannot provide accurate basis for subsequent deployment, does not carry out multi-level deconstruction and dependency relation combing based on task description information, only splits tasks according to a fixed mode, and is difficult to form subtask sets with clear logic and clear execution sequence, so that execution conflict or joint faults are easy to occur among the subtasks, the refined deployment requirements of complex mapping tasks cannot be adapted, and the ordered promotion of mapping work is affected. The prior art has prominent defects in resource matching and deployment optimization links of mapping equipment. The method is characterized in that a device resource state library is not combined for multi-target collaborative matching and self-adaptive resource allocation, tasks are allocated only according to experience or single resource indexes, resource conflict, load imbalance and the like are easy to occur, the device resource utilization rate is low, a three-dimensional dynamic deployment map covering the spatial layout, the working time sequence and communication coordination relation is not constructed, the spatial association, the time sequence coordination and the communication coordination among devices cannot be comprehensively considered only based on a single-dimension planning deployment scheme, the deployment scheme lacks scientificity, the deployment map and a loading instruction set are not subjected to collaborative optimization according to actual state feedback after the device loading, only a fixed deployment scheme is executed, dynamic change in the mapping process cannot be met, the flexibility and the suitability of the deployment scheme are poor, and the practical requirements of efficient and accurate completion of the mapping tasks are difficult to meet. Disclosure of Invention The invention provides an intelligent deployment and loading method and system for mapping equipment, which are used for solving the problems in the background technology. In order to achieve the above object, the present invention provides an intelligent deployment and loading method for mapping equipment, including: S1, analyzing a task request of mapping equipment, and carrying out structural coupling on task area information, mapping precision requirements and task time limit in the task request to obtain task description information of the mapping equipment; s2, performing multi-level deconstructment on the mapping equipment based on the task description information to obtain a subtask set between an execution sequence and a dependency relationship in the mapping equipment; s3, performing multi-objective collaborative matching on the subtask set based on the equipment resource state library of the mapping equipment, and performing self-adaptive resource allocation on the matched result to obtain a task binding scheme of the mapping equipment; S4, constructing a three-dimensional dynamic deployment map of the mapping equipment by taking the space layout in the task binding scheme as a first dimension, the working time sequence as a second dimension and the communication coordination relationship as a third dimension; S5, generating a loading instruction set of the mapping equipment according to the three-dimensional dynamic deployment map, and executing the loading instruction set to obtain a special mapping rule and a collaborative configuration parameter of the mapping equipment; S6, based on the special mapping procedure and the collaborative configuration parameters, collaborative optimization is carried out on the three-dimensional dynamic deployment map and the loading instruction set so as to obtain an optimized deployment scheme of the mapping equipment. In a preferred embodiment, the analyzing the task request of the mapping device, and performing structural coupling on task area information, a mapping precision requirement and a task time limit in the task request to obtain task description information of the mapping device, includes: Receiving a task request of mapping equipment, and performing format verification on the task request to obtain a verified task request of the mapping equipment; Extracting task area information, mapping precision requirements and task time limit in the verified task request; Carrying out standardized processing on the task area information, the mapping precisi