WO2017124507A1 - 推荐食材储备时的技术使用数据统计方法以及储备系统 - Google Patents

推荐食材储备时的技术使用数据统计方法以及储备系统 Download PDF

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WO2017124507A1
WO2017124507A1 PCT/CN2016/071866 CN2016071866W WO2017124507A1 WO 2017124507 A1 WO2017124507 A1 WO 2017124507A1 CN 2016071866 W CN2016071866 W CN 2016071866W WO 2017124507 A1 WO2017124507 A1 WO 2017124507A1
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weather
unit
user
data
cloud
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PCT/CN2016/071866
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白宏伟
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白宏伟
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants

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  • the invention belongs to the field of the Internet, and in particular relates to a statistical method for using technical data and a reserve system when recommending the storage of food materials.
  • the number of invention patents applied by OPPO in 2014 was 938, while the number of invention patents of Tencent in the same period was 1,447.
  • the inventions of the two companies about 80% of the total number of invention patents related to user experience and direct user operations.
  • similar patent applications, including other companies based on user experience are also of a large order of magnitude, such as Huawei.
  • the patent application process and the post-authorization maintenance process will generate human and financial costs: such as replying to review opinions, paying license fees, etc., for core technologies (such as CDMA underlying technology) or market identification.
  • core technologies such as CDMA underlying technology
  • market identification For relatively high-tech technologies (such as sliding unlocking), the related costs are negligible, and the investment in these technologies is worthwhile, but such technologies are a minority after all, and more technologies have been verified by the market. The user's pain points or itch points cannot be touched, and the patent investment in these technologies is likely to cause cost waste.
  • the present invention is directed to the situation that the current food and beverage store cannot store the food according to the weather conditions, and it is necessary to provide a kind of food.
  • the user's consumption habits under different weather conditions are analyzed, so that the ingredients are prepared in advance, the storage pressure of the merchants is reduced, the waste is avoided, and the time after using the technology is timely.
  • Feedback it is also convenient for manufacturers to collect relevant technology in a timely and effective manner. .
  • a method of statistical use of technical usage data when recommending the storage of foodstuffs comprising the following steps:
  • the dish having the most repetition in the same weather condition is determined as a dish suitable for the weather
  • the ingredients to be prepared in advance are recommended to the restaurant according to the weather conditions in the next few days and the dishes suitable for the weather, and the technical use data is sent to the data collection end preset by the manufacturer.
  • the embodiment of the invention also provides a reserve system, the reserve system comprising:
  • Recording unit uploading unit, analyzing unit, recommending unit, data sending unit, wherein:
  • a recording unit located locally, for recording a list of user orders in the current weather
  • the uploading unit is located at a local location, and the input end thereof is connected to the output unit of the recording unit, and is configured to upload a list of the user's order in the current weather to the cloud;
  • An analysis unit located in the cloud, is configured to determine, according to the number of repetitions of the consumption of the food by the user in the same weather, the dish having the highest number of repetitions in the same weather condition as the dish suitable for the weather;
  • a recommendation unit located in the cloud, having an input end connected to the output of the analysis unit for recommending the food to be prepared in advance according to the weather conditions in the next few days and the food suitable for the weather;
  • the data sending unit is located in the cloud, and the input end thereof is connected to the output unit of the recommendation unit, and is configured to send the technical use data to the data collection end preset by the manufacturer.
  • the invention records the user's order list in different weather conditions, analyzes the consumption habits of the users under different weather conditions, thereby more targeted preparation of ingredients in advance, reducing the storage pressure of the merchants, avoiding waste, and at the same time, after using the technology
  • the timely feedback also facilitates the timely and effective collection of relevant technologies by the manufacturer.
  • FIG. 1 is a schematic flow chart of a method for statistically using technical data when a recommended food material is stored according to an embodiment of the present invention
  • FIG. 2 is a schematic structural view of a reserve system according to an embodiment of the present invention.
  • FIG. 1 is a schematic flow chart of a method for statistically using technical data when a recommended food material is stored according to an embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown.
  • step S100 the user's order list in the current weather is recorded.
  • step S101 the user's order list in the current weather is uploaded to the cloud.
  • the dish with the most repetition in the same weather condition is determined as the dish suitable for the weather.
  • step S103 In the future, according to the weather conditions in the next few days and the dishes suitable for the weather, the ingredients to be prepared in advance are recommended to the restaurant, and the technical use data is sent to the data collection end preset by the manufacturer.
  • This technology is prior art and currently provides a large number of queried weather forecasts on the network.
  • the technology uses data for the user to use the data of the technology, that is, the data generated when the method completes the first few steps, the data includes the number of times the user uses the technology (eg, the first time using the technology within a certain period of time) Technology); the specific time point of using the technology; the user's related operations before and after using the technology can help the technology provider to better evaluate the market value of the technology, and better improve the technical data according to the feedback.
  • the invention records the user's order list in different weather conditions, analyzes the consumption habits of the users under different weather conditions, thereby more targeted preparation of ingredients in advance, reducing the storage pressure of the merchants, avoiding waste, and at the same time, after using the technology
  • the timely feedback also facilitates the timely and effective collection of relevant technologies by the manufacturer.
  • FIG. 2 is a schematic structural diagram of a storage system according to an embodiment of the present invention, where the storage system includes:
  • the recording unit 21 is located locally and is used for recording a list of users' orders in the current weather;
  • the uploading unit 22 is located at the local location, and its input terminal and recording unit 21 The output end is connected to upload a list of the user's order in the current weather to the cloud;
  • Analysis unit 23 In the cloud, for determining the number of repetitions of the dish in the same weather condition as the dish suitable for the weather according to the number of repetitions of the user consuming the food in the same weather;
  • Recommendation unit 24 located in the cloud, with its input and analysis unit 23 An output connection for recommending ingredients to be prepared in advance according to weather conditions in the next few days and the dishes suitable for the weather;
  • the data sending unit 25 is located in the cloud, and its input terminal and recommendation unit 24 The output terminal is connected to send technical usage data to the data collection end preset by the manufacturer.
  • the working principle is that the user records the user's order list in the current weather in the recording unit 21, and the uploading unit 22 Uploading the user's order list in the current weather to the cloud, the analysis unit 23 According to the number of repetitions of the consumption of the food by the user in the same weather, the dish with the most repetition in the same weather condition is determined as the dish suitable for the weather, and the recommendation unit 24 The ingredients to be prepared in advance are recommended to the restaurant according to the weather conditions in the next few days and the dishes suitable for the weather, and the data transmitting unit 25 transmits the technical use data to the data collection end preset by the manufacturer.
  • the invention records the user's order list in different weather conditions, analyzes the consumption habits of the users under different weather conditions, thereby more targeted preparation of ingredients in advance, reducing the storage pressure of the merchants, avoiding waste, and at the same time, after using the technology
  • the timely feedback also facilitates the timely and effective collection of relevant technologies by the manufacturer.

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Abstract

一种推荐食材储备的数据统计方法以及系统，所述方法包括：记录当前天气下用户点菜清单（S100）；向云端上传所述当前天气下用户点菜清单（S101）；根据所述用户在相同天气下消费菜品的重复次数，将在相同天气情况下重复次数最多的菜品确定为适合该天气食用的菜品（S102）；根据未来几天天气情况以及所述适合该天气食用的菜品向餐厅推荐需提前准备的食材，并向厂家预设的数据采集端发送技术使用数据（S103）。

Description

推荐食材储备时的技术使用数据统计方法以及储备系统 技术领域
本发明属于互联网领域，尤其是涉及 一种推荐食材储备时的技术使用数据统计方法以及储备系统 。
背景技术
现在企业申请的专利数量越来越多，而且将专利用在市场上、产品中的情形也越来越多。
根据国家知识产权的数据库显示，OPPO公司在2014年申请的发明专利数为938个，而同期的腾讯公司的发明专利数为1447个。这两家公司的发明中，有关于用户体验和用户直接操作相关的发明专利约占总数的80%左右。当然包括其他以用户体验为主的公司的类似专利申请也是具有很大的数量级，比如小米公司等。
考虑到技术使用的同时，专利的申请过程和授权后的维护过程都会产生人力、财力上的成本：如答复审查意见、缴纳授权费等，对于核心技术（如：CDMA的底层技术）或市场认同度比较高的技术（如：滑动解锁）而言，那么相关成本就可以忽略不计，对于这些技术的投入是值得的，但这类技术毕竟是少数，更多的技术经过市场验证后，其实并不能触及用户的痛点或痒点，而对这些技术的专利投入，就容易造成成本的浪费。
所以需要有一种方法能够通过实在的数据，及时评估相关技术的市场接受度或价值，同时，为了使得本人的上一个申请《 根据天气推荐食材储备的方法以及储备系统 》中的相关技术得到及时评估，特提出一种技术使用数据的采集/发送的方法。
 技术问题
本发明实施针对当前餐饮店无法根据天气情况储备食材的情况，需要提供一种 通过记录不同天气情况下用户点菜清单，分析用户不同天气情况下的消费习惯，从而更加有针对性的提前准备食材，减少商家的储货压力，避免了浪费，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况 。
技术解决方案
本发明是这样实现的： 一种推荐食材储备时的技术使用数据统计方法 ，包括以下步骤：
记录当前天气下用户点菜清单 ;
向云端上传所述当前天气下用户点菜清单；
根据所述用户在相同天气下消费菜品的重复次数，将在相同天气情况下重复次数最多的菜品确定为适合该天气食用的菜品 ;
根据未来几天天气情况以及所述适合该天气食用的菜品向餐厅推荐需提前准备的食材，并向厂家预设的数据采集端发送技术使用数据。
本发明实施例还提供了储备系统，所述储备系统包括：
记录单元，上传单元，分析单元，推荐单元，数据发送单元，其中：
记录单元，位于本地，用于记录当前天气下用户点菜清单；
上传单元，位于本地，其输入端与记录单元输出端连接，用于向云端上传所述当前天气下用户点菜清单；
分析单元，位于云端，用于根据所述用户在相同天气下消费菜品的重复次数，将在相同天气情况下重复次数最多的菜品确定为适合该天气食用的菜品；
推荐单元，位于云端，其输入端与分析单元输出端连接，用于根据未来几天天气情况以及所述适合该天气食用的菜品向餐厅推荐需提前准备的食材；
数据发送单元，位于云端，其输入端与推荐单元输出端连接，用于向厂家预设的数据采集端发送技术使用数据。
 有益效果
该发明通过记录不同天气情况下用户点菜清单，分析用户不同天气情况下的消费习惯，从而更加有针对性的提前准备食材，减少商家的储货压力，避免了浪费，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况。
附图说明
图 1 是本发明实施例提供的一种推荐食材储备时的技术使用数据统计方法 的流程示意图 ；
图 2 是本发明实施例提供的储备系统的结构示意图。
 本发明的实施方式
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
图 1 是本发明实施例提供的一种推荐食材储备时的技术使用数据统计方法 的流程示意图 ，为了便于说明，只示出了与本发明实施例相关的部分。
在步骤 S100 中 , 记录当前天气下用户点菜清单。
该技术为现有技术，目前餐饮店普遍会采用会员制提供优惠的方式吸引消费者参加其会员，或者消费者会通过团购软件订餐，其中点菜记录都会存储在餐饮店的点餐系统中。
在步骤 S101 中 , 向云端上传所述当前天气下用户点菜清单。
因为餐饮店一般人流量都很大，且点餐记录等数据随时间增长会变得异常巨大，通过大数据的概念来存储这些数据不但会节省商家的硬件成本，同时也加快了运算速度。
在步骤 S102 中，根据所述用户在相同天气下消费菜品的重复次数，将在相同天气情况下重复次数最多的菜品确定为适合该天气食用的菜品。
在步骤 S103 中，根据未来几天天气情况以及所述适合该天气食用的菜品向餐厅推荐需提前准备的食材，并向厂家预设的数据采集端发送技术使用数据。
该技术为现有技术，目前网络上提供了很多可查询的天气预报。
所述技术使用数据为用户使用该技术的数据，即所述方法走完前几个步骤时产生的数据，所述数据包括用户使用该技术的次数（如在一定时间内是第几次使用该技术）；使用该技术的具体时间点；使用该技术前后用户的相关操作等有助于技术提供方更好的评价技术的市场价值，并根据所述反馈更好的改进技术的数据。
该发明通过记录不同天气情况下用户点菜清单，分析用户不同天气情况下的消费习惯，从而更加有针对性的提前准备食材，减少商家的储货压力，避免了浪费，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况。
图 2 是本发明实施例提供的储备系统的结构示意图，所述储备系统包括：
记录单元 21 ，上传单元 22 ，分析单元 23 ，推荐单元 24 ，数据发送单元 25 ，其中：
记录单元 21 ，位于本地，用于记录当前天气下用户点菜清单；
上传单元 22 ，位于本地，其输入端与记录单元 21 输出端连接，用于向云端上传所述当前天气下用户点菜清单；
分析单元 23 ，位于云端，用于根据所述用户在相同天气下消费菜品的重复次数，将在相同天气情况下重复次数最多的菜品确定为适合该天气食用的菜品；
推荐单元 24 ，位于云端，其输入端与分析单元 23 输出端连接，用于根据未来几天天气情况以及所述适合该天气食用的菜品向餐厅推荐需提前准备的食材；
数据发送单元 25 ，位于云端，其输入端与推荐单元 24 输出端连接，用于向厂家预设的数据采集端发送技术使用数据。
其工作原理是：用户在记录单元 21 记录当前天气下用户点菜清单，上传单元 22 向云端上传所述当前天气下用户点菜清单，分析单元 23 根据所述用户在相同天气下消费菜品的重复次数，将在相同天气情况下重复次数最多的菜品确定为适合该天气食用的菜品，推荐单元 24 根据未来几天天气情况以及所述适合该天气食用的菜品向餐厅推荐需提前准备的食材，同时，数据发送单元 25 向厂家预设的数据采集端发送技术使用数据。
该发明通过记录不同天气情况下用户点菜清单，分析用户不同天气情况下的消费习惯，从而更加有针对性的提前准备食材，减少商家的储货压力，避免了浪费，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况。
以上仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。

Claims (2)

  1. 一种推荐食材储备时的技术使用数据统计方法，其特征在于，所述方法包括如下步骤：
    记录当前天气下用户点菜清单 ;
    向云端上传所述当前天气下用户点菜清单；
    根据所述用户在相同天气下消费菜品的重复次数，将在相同天气情况下重复次数最多的菜品确定为适合该天气食用的菜品 ;
    根据未来几天天气情况以及所述适合该天气食用的菜品向餐厅推荐需提前准备的食材，并向厂家预设的数据采集端发送技术使用数据。
  2. 一种储备系统，其特征在于，所述储备系统包括：
    记录单元，上传单元，分析单元，推荐单元，数据发送单元，其中：
    记录单元，位于本地，用于记录当前天气下用户点菜清单；
    上传单元，位于本地，其输入端与记录单元输出端连接，用于向云端上传所述当前天气下用户点菜清单；
    分析单元，位于云端，用于根据所述用户在相同天气下消费菜品的重复次数，将在相同天气情况下重复次数最多的菜品确定为适合该天气食用的菜品；
    推荐单元，位于云端，其输入端与分析单元输出端连接，用于根据未来几天天气情况以及所述适合该天气食用的菜品向餐厅推荐需提前准备的食材；
    数据发送单元，位于云端，其输入端与推荐单元输出端连接，用于向厂家预设的数据采集端发送技术使用数据。
PCT/CN2016/071866 2016-01-24 2016-01-24 推荐食材储备时的技术使用数据统计方法以及储备系统 WO2017124507A1 (zh)

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