32results about How to "Improve site selection efficiency" patented technology

A GIS-based shopping mall site selection method, combined with GIS technology, based on the distribution of population density in urban areas, the actual distribution of road networks and the actual distribution of bus stops, and based on GIS technology to obtain a suitable shopping mall location. The invention provides a GIS-based shopping mall site selection method with high site selection efficiency.

The invention provides a generation method of a pedestrian business district based on an electronic map. The method comprises the following steps: screening nodes from the inside to the outside starting from an opportunist by sufficiently utilizing a topological structure among road nodes in the electronic map; saving nodes with distances to the opportunist less than a critical distance value in a closed table; and generating a pedestrian business district by combining an interpolation point on a critical arc section. Because the topological relationship among the road nodes is utilized, the screening process of the nodes is quickly and ordered, and the generation method has the advantages that: when nodes are added to the closed table, nodes in a start table are nodes closest to the periphery of the business district, so that the critical arc section can be found conveniently and quickly; and the method takes factors of pedestrian bridges and zebra stripes, so that the generated pedestrian district is closer to the reality, and accurate and effective information is provided to a site testing decision. The method has a smart conception, and can be used for quickly and accurately generating the pedestrian business district, so that the site testing efficiency is improved.

The invention discloses a charging station site selection system and method based on a sensor network, comprising: a speed sensor for collecting N vehicle speed signals of a target straight road in a preset site selection area within a preset time period; carbon monoxide The sensor is used to collect the target carbon monoxide signal in the target straight road at the end of the preset time period; the central processing unit is used to convert N vehicle speed signals into N speed values, and convert the target carbon monoxide signal into a target carbon monoxide value ; Estimate the number of electric vehicles in the target straight road according to the N speed values ​​and the target carbon monoxide value; and when the number of electric vehicles is greater than the preset number threshold, set the target straight road as a charging station alternative; It is used to collect the license plate image information of the vehicle passing by the charging pile alternatively, so as to determine the address of the target charging station in the preset location area. The system and method disclosed in the invention reduce the cost and time of site selection for charging stations.

The invention discloses a business address recommendation system and method based on multi-dimensional aggregation flow analysis of user needs. The system includes an operator SP, a business BS, a mobile phone traffic aggregator MA, and a mobile phone user User; assuming that the statistical range is divided into m areas, Each area allows a maximum of n mobile phone users, and the data of each user is l-dimensional, that is, l mobile phone applications; the operator SP has only one and is a safe third party; the mobile phone traffic aggregator MA is used to collect and aggregate in real time The mobile application traffic data of users in all regions will be aggregated and then sent to the operator SP; the operator SP will store the aggregated traffic in different application databases after decryption, and the merchant BS will send a new facility to the operator SP as the queryer In the location query request, the operator SP recommends a location area that matches the application type of the merchant according to the new facility type of the merchant. The invention can ensure that the user's private information is not disclosed while recommending the location range for the merchant, and the security of the user information is ensured.