A vector tile preprocessing method and device
A preprocessing device and preprocessing technology, applied in the field of geographic information, can solve problems such as low production efficiency, and achieve the effect of improving production efficiency and shortening time
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Embodiment 1
[0023] figure 1 The flow of the vector tile preprocessing method provided by the embodiment of the present invention is shown, and only the parts related to the embodiment of the present invention are shown for convenience of description.
[0024] The vector tile preprocessing method provided in this embodiment includes the following steps:
[0025] Step S1, read the original data and store it in the input data pool.
[0026] This embodiment defines two data pools, one is an input data pool for storing read vector data; the other is an output data pool for storing processed vector data. Both data pools are defined in memory and have a certain data capacity.
[0027] In the process of reading raw data, when the amount of data in the input data pool does not reach the upper limit, continue to read raw data and store it in the input data pool; when the data in the data input pool is full, stop reading raw data , to wait.
[0028] Step S2, read the raw data in batches from the...
Embodiment 2
[0041] Figure 5 The structure of the vector tile preprocessing device provided by the embodiment of the present invention is shown, and only the parts related to the embodiment of the present invention are shown for convenience of description.
[0042] The vector tile preprocessing device provided in this embodiment includes:
[0043] Data input module 1, used to read raw data and store it in the input data pool;
[0044] Data processing module 2, reads raw data in batches from the input data pool, performs simplification and correctness repair processing on each geometric object in each batch of raw data, obtains processed data packets and stores them in the output data pool;
[0045] The output module 3 is used to continuously read data packets one by one from the output data pool, classify according to the level, write the data of the same level in all data packets to the corresponding temporary files, and finally obtain multiple levels of data Temporary Files.
[0046]...
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