A method, system, and cloud platform for quality inspection of results in one map of forest resources

Abstract

The present invention relates to a method, system and cloud platform for the quality inspection of a map of forest resources. The present invention submits and inspects according to the data processing process, submits at the county level at any time, and summarizes and inspects at the provincial level at any time, and the inspection work is carried out in stages according to the workflow , On the basis of ensuring the correctness of the previous stage of work, the next step of work will be carried out, errors will be corrected in the bud, and repeated county-level operations and provincial-level inspections will be avoided, and the timeliness will be greatly improved. In the summary database at the provincial level, the results of the whole province summarized into one map are centralized for inspection at the provincial level. The inspection of the whole province can be completed in one inspection, and the inspection efficiency is greatly improved, and the submission of all is transferred to the submission of key parts, which greatly reduces the system Storage and network pressure.

Description

technical field [0001] The invention belongs to the technical field of geospatial data calculation, identification, and processing, and specifically relates to a method, system, and cloud platform for quality inspection of forest resource one-map results. Background technique [0002] At present, the annual update of one map of forest resources is done at the provincial and county levels. After the county-level units complete the results of the forest resource change database, they will be submitted to the provincial inspection department. When the county-level results are reported to the provincial level, it will be completed by hard disk copy. Since the update results of a map of forest resources are all geospatial databases, the number of geospatial data calculations and storage is large, and the county-level desktop software is independently deployed with a C / S architecture to complete spatial editing, attribute quality inspection, and topology for county-level data. Ana...

AI Technical Summary

Problems solved by technology

[0003] The above scheme has the following defects: 1. The timeliness is poor. You must wait until the county completes the entire work and submits the results before you can check the data. project results database and inspection module, early errors caused the entire job to be redone

2. Concentration of work

The provincial level needs to build a database and check the data of each county separately. When there are many counties or a large amount of data, the provincial work pressure is huge

3. The work is repeated. The county level has completed all inspections and passed the inspection, but the provincial level does not trust the results submitted by the county level from the inspection point of view. It still needs to repeat all the inspection processes, resulting in inefficient work duplication

4. The inspection effect is poor. Due to the concentrated inspection time and heavy workload, the provincial inspection mainly focuses on basic data normative inspections such as data space topology inspection and attribute logic inspection. Although it conforms to logical rules, it does not meet actual work requirements. Weak mutation and abnormal change check

And because only after the data of all districts and counties have been checked, the data of the whole province can be summarized, and the changes of the resource data of the whole province can be counted and analyzed, which is very prone to unpredictable overall changes at the provincial level

5. The user experience is poor, and all data needs to be handed in. Due to the long inspection process, users need to wait for a long time for the inspection results

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