Heat Map Pixel Color Adjustment for Boundary Smoothing
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Solution Overview
Problem
Conventional heat maps struggle to accurately represent service request distribution in boundary areas of neighboring regions, leading to misrepresentation of service resource availability, which can result in inefficient assignment of service orders to drivers.
Innovation Solution
A computer-implemented method that adjusts the color values of pixels in a heat map based on neighboring pixel weights, smoothing boundary characteristics and merging adjacent regions with similar heat values to create a more accurate representation of service resource distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional heat maps use discrete regional boundaries to represent service request distribution, then the heat map structure is simple and easy to generate, but the accuracy of representing service requests in boundary areas is poor
Solution Approach 1:
The patent merges adjacent heat regions that have similar heat values by comparing boundary pixels and their neighbors. When pixels at the boundary of adjacent regions have similar color values (indicating similar service request density), those regions are merged into a single continuous region. This eliminates artificial boundary lines and accurately represents that service requests in boundary areas belong to a combined service area rather than being arbitrarily assigned to one region.
Solution Approach 2:
The patent applies different processing rules to different parts of the heat map. Boundary pixels are specially processed by comparing their color values with neighboring pixels from adjacent regions. This local quality approach ensures that only boundary areas with similar heat values are merged, while interior regions maintain their original structure. The solution selectively applies merging operations based on local pixel characteristics rather than uniformly processing the entire heat map.
2Reliability
If heat regions are assigned to different service areas based on arbitrary boundaries, then service order assignment is simplified, but service resource distribution accuracy deteriorates
Solution Approach 1:
The patent merges adjacent heat regions with similar heat values into unified service areas. When boundary pixels of adjacent regions have similar color values, indicating similar service request density, the corresponding regions are merged. This ensures that service orders in boundary areas are correctly assigned to the appropriate service area based on actual service resource distribution rather than arbitrary boundaries, improving the reliability of service resource availability representation.
3Productivity
If drivers are directed to heat regions with highest heat values, then service order fulfillment efficiency is improved, but drivers may be misdirected to boundary areas with actual low service resource availability
Solution Approach 1:
The patent merges adjacent heat regions with similar heat values into unified service areas before directing drivers. By eliminating artificial boundaries between regions with similar service request density, the system ensures that drivers are directed to accurate service areas based on real service resource distribution. This prevents misdirection to boundary areas that appear to be in high-demand regions but actually have low service resource availability, thereby improving both the precision of service resource representation and the efficiency of service order fulfillment.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a computer-implemented method for displaying a heat map are provided. One of the methods includes: receiving heat data from a server, wherein the heat data comprises a color value associated with each of a plurality of regions and one or more geographic locations respectively corresponding to one or more boundary points of each of one or more heat regions among the plurality of regions; generating a first heat map comprising a plurality of pixels; obtaining a second heat map by adjusting the color value of each pixel in the first heat map; and providing the second heat map for display, wherein the second heat is superimposed on a digital map. This method addresses the issue of conventional techniques that service request information may be misrepresented due to abrupt changes in color values across neighboring heat regions.