JP2005196321A - Sales method for photovoltaic power generation system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To solve the following problem: when selling a photovoltaic power generation system, there has not been an effective method for finding a candidate destination thereof, business efficiency is bad, and a power generation amount and power generation efficiency desired by a customer cannot be obtained, so that there is many cases that business negotiations are not concluded because sunlight condition is bad, for example, a roof direction does not have a proper angle to sunlight, a roof area is insufficient, a roof shape is special, or an obstacle causes shade, even if receiving an inquiry of installation from the customer and actually visiting to investigate the roof shape, the roof direction, the sunlight conditions or the like. <P>SOLUTION: In this method, image information including the rooftop shape of a building or a house, the roof area, and the roof direction is read from an aerial photograph or a satellite photograph together with a land form, a hopeful house or a hopeful building satisfying a prescribed criterion is selected from the image information, the hopeful house or the hopeful building are collated with a map, its address, and its possessor or the like are specified to produce a hopeful customer list, and efficient sales activity for the photovoltaic power generation system is performed by direct mail or the like. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention selects a promising house or a promising building by collating image data obtained from aerial photographs or satellite photographs with a photovoltaic power generation system installation condition using a computer, and identifies a customer address and owner by collating with map data. The present invention relates to a solar power generation system sales method for creating a promising customer list and carrying out direct mailing and the like.

  In recent years, the installation of solar power generation systems not only in private housing but also in public facilities such as schools, government offices, and industrial establishments such as production factories has increased due to environmental and energy problems.

  In the past, sales of solar power generation systems were made by visiting individual candidates at random one by one, visiting candidates that were introduced, and newspaper inserts and direct mail targeting all sales promotion target areas. After receiving the answer, they visited the site individually to solicit installation and conduct sales activities.

  Also, exhibitions, solicitations by telephone, and TV commercials were held, and even when actually visiting candidates who had inquiries about installation, there were few business negotiations, and business efficiency was not good. For industrial applications, etc., information such as the position, shape, and name of the building can be obtained from car navigation data in order to determine the installation destination of the solar power generation system in advance, but the solar power generation system installation area, direction, power generation efficiency, etc. It was not possible to obtain highly accurate data.

  Conventionally, there has been no method for finding a candidate for installing a solar power generation system and performing an efficient sales method.

  The reason for this is that customers visit customers randomly or receive inquiries about installation from customers, and even if they actually visit and investigate the roof shape, roof direction, sunshine conditions, etc. In fact, there are many cases where negotiations are not settled because the amount cannot be obtained, the power generation efficiency is low and the system price is not suitable.

  This means that the installation of a power generation system using sunlight requires a certain roof area. Also, if the sunshine hours are limited by trees, nearby buildings, mountains, etc., power generation efficiency will deteriorate. The roof direction is most desirably south. Of course, it is possible to divide and install the solar cell module on the roof of the other building or other special shape, but the gable roof that can secure the area at once without dividing it has the highest power generation efficiency. highest.

  The present invention predicts the power generation amount and power generation efficiency from the roof shape, roof direction, etc. in advance, narrows down promising houses, promising buildings, and regional groups, and performs direct mail and proposal sales activities for them to perform highly efficient sales activities Is possible.

  The present invention provides a means for reading image information such as a roof shape, a roof area, a roof direction of a building or a house as well as topography from an aerial photograph or satellite photograph, and a promising house satisfying a certain standard from this image information, A sun having means for selecting and recording a promising building, and means for collating the promising house or promising building with map data on a computer, identifying an address, an owner, etc. from an address retrieval data and creating a promising customer list It features a sales method for photovoltaic systems.

  It is also possible to have means for predicting power generation efficiency, power generation amount, and system conditions by combining map data and information near the promising house with weather data such as annual sunshine hours and wind power information.

  Furthermore, it reads the location information of public facilities such as parks, river beds, roads, schools, government offices, government offices, and their sunshine conditions, and combines them with weather conditions for industrial solar power generation systems, solar light energy lamps (street lights), greenhouse irrigation Sales activities for solar systems such as power generation are also possible.

  From aerial photographs, it is possible to conduct a wide-area survey of areas where solar power generation systems are already installed, the level of regional laying, and the areas where they are not installed.

  As described above, according to the present invention, when sending a direct mail, it is possible to narrow down an appropriate installation place of the photovoltaic power generation system. In addition, when making an individual visit for the first time, it is possible to make individual proposals after calculating the customer's roof area, installation method and predicted power generation, efficiency, installation budget, etc. As satisfaction increases, sales efficiency and sales closing rates can be dramatically increased.

Hereinafter, the best mode for carrying out the present invention will be described.
A specific information processing flow is shown in a flowchart in FIG.
(1) Take or obtain aerial photos and satellite photos of the target area.
In general, aerial photographs can be purchased in color and with appropriate magnification from a trader or city hall. It is also possible to request aerial photographers to take aerial photographs of the target area directly by aircraft. For aerial photography, a black-and-white photograph with a magnification of 1/3700 to 1/2200 taken from an altitude of 500 m is appropriate. Color photographs are still desirable because they can be used to determine the roof material.
(2) The photograph is read by image reading means such as a scanner.
{Circle around (3)} A roof satisfying a certain basis, such as a preset area, direction, and shape, is scanned and classified by image analysis, specified as promising house and building data, and stored in a computer as storage means.
Regarding the roof of a residential house, information such as the roof shape, roofing material, area, roof surface direction, etc. of the gable roof, the ridge roof, and the one-story roof is read.
Specifically, data satisfying a certain standard such as direction and area is selected by a scanner having a marker corresponding to the installation area.
(4) The building name, address, owner, etc. are specified by comparing the promising house and building data with the map data of each area.
(5) A large number of promising customer lists are created collectively from the image data of the structure of the wide area photograph and the map data.
(6) Conduct sales activities such as sending direct mail based on this promising customer list.

  These operations are performed collectively using a computer, but it is of course possible to select promising houses individually on the map and create promising house data. In addition, it is very effective when used for sales activities that propose not only individual houses but also promising houses such as individual houses, built houses, and housing estates in large areas. In addition to the above operations, power generation efficiency, power generation, and system conditions can be predicted by combining weather conditions such as annual sunshine hours and wind power information. As is already known, in recent years, data such as aerial photographs and maps can be obtained from local governments, book stores, etc., and do not infringe the privacy of individuals or companies.

  Next, another embodiment will be described. Reads the location information of public facilities such as parks, river beds, roads, schools, government offices, government office buildings and their sunshine conditions from aerial photographs, and combines solar and wind power generation with weather conditions such as wind force, wind direction and sunshine duration It is also possible to sell solar power generation systems such as combined hybrid power generation systems, solar energy lamps (streetlights), and power generation for greenhouse irrigation.

It is also possible to predict sales demand from aerial photographs by conducting a survey on the presence or absence of a solar power generation system, the level of laying of the area, and the wide area of the area where it is not installed.
Furthermore, aerial photographs and image data of houses and buildings can be used to formulate support measures such as subsidies in order to disseminate solar power generation systems due to environmental and energy issues.

Hereinafter, preferred embodiments of a sales method according to the present invention will be described with reference to the drawings.
FIG. 2 shows an aerial photograph at a scale of 1/3700 in a certain area of Y city.
FIG. 3 shows an aerial photograph at a scale of 1/2200 with a higher magnification.

  Scan this photo with a scanner, scan monotone rectangular shapes, triangles, trapezoidal shapes, etc. on black-and-white photos with a fixed rectangular marker, search for houses that satisfy a certain area, direction, and roof shape. An arbitrary house was selected as an example. The address name of the promising house selected above was identified from the customer list created by collating with the house map data (FIG. 4), and it was found that the house was S house.

Through detailed photographic data analysis, it was determined that the roof of the S house was facing south, and it was possible to attach 20 or more solar panels of 1 m ² (square meter) to the roof area with a gable.

At present, a 1 m ² panel with a polycrystalline silicon solar cell element usually has a power generation capacity of 150 W (watts), so it is possible to secure a power generation capacity of 3.0 KW by installing 20 panels in this S house. Was predicted.

  In another color aerial photograph (FIG. 5), it was confirmed that the roof material of this S house was a colonial material and the roof structure was a gable roof. Later, when responding to the direct mail, they visited the S house, specifically confirmed the roof shape and area, and proposed a system with a power generation amount of 3.0 KW.

  The flowchart which shows an information processing procedure is shown.   An aerial photograph of 1/3700 scale taken from an altitude of 500 meters in an area of Y city is shown.   An aerial photograph of 1/2200 scale of the same area of Y city is shown.   The following is an excerpt of residential map data for the same area in Y city.   A color aerial photograph of the same region is shown.

Claims (4)

A means of reading image information such as roof shape, roof area, roof direction of buildings and houses from topographical images from aerial photographs and satellite photographs, and promising houses and promising buildings that satisfy a certain basis from this image information And a means for collating this promising house or promising building with a map, identifying its address, owner, etc., and creating a promising customer list. Sales method. 2. The apparatus according to claim 1, further comprising means for predicting power generation efficiency, power generation amount, and system conditions by combining weather information such as annual sunshine hours and wind power information with map information in the vicinity of the promising house and the promising building. To sell solar power generation systems. Hybrid power generation that combines solar power generation and wind power generation in combination with weather conditions such as wind direction and wind power by reading the location information of the public facilities such as parks, riverbeds, roads, schools, government offices, government office buildings and their sunshine conditions from aerial photographs A method of selling a solar power generation system, characterized by conducting sales activities such as a system, solar energy lamp (streetlight), and power generation for greenhouse irrigation. A method for selling a photovoltaic power generation system, characterized by predicting sales demand in a wide area by conducting a wide-area survey of a non-installed area through the presence or absence of a photovoltaic power generation system from an aerial photograph, the degree of laying spread in the area, and further.