Design method of intelligent pet care robot

Abstract

The invention discloses an intelligent pet care robot design method, and belongs to the technical field of robot design, and the method comprises the following steps: S1, carrying out the big data retrieval of all demands of people for pet care at present; s2, performing big data retrieval and counting discussion amount of each demand of people for pet care at present; s3, defining the design function of the intelligent pet care robot; s4, devices capable of achieving the function in the market at present are retrieved through big data; s5, determining devices used by the design of the intelligent pet care robot; s6, determining the data type of the used device; s7, constructing a code; and S8, purchasing the used device, importing a code, and assembling to obtain the intelligent pet care robot. According to the method, it can be guaranteed that the designed intelligent pet care robot meets the requirement of people for pet care to the maximum extent, meanwhile, designers not rich in experience can design the intelligent pet care robot at the highest speed, and practicability is high.

Description

Technical Field

[0001] The invention belongs to the technical field of robot design, and in particular relates to a design method of an intelligent pet care robot. Background Art

[0002] With the progress of society and the improvement of people's living standards, pets have become an important member of many families.

[0003] Pet care is a more important part of the pet breeding process. It not only concerns the pet's survival needs, but also involves their mental health, quality of life and harmonious coexistence with humans.

[0004] The current fast-paced life often means that people are unable to spend time and energy to take care of their pets. In order to solve this problem, it is particularly important to design intelligent pet care robots.

[0005] The current design of intelligent pet care robots generally relies on personnel with rich experience in design, programming and assembly. However, due to their busy work, these personnel may not have raised pets and find it difficult to understand the real needs of pet care.

[0006] In view of this, a design method of an intelligent pet care robot is designed to solve the above problems. Summary of the invention

[0007] To solve the problems raised in the above background technology, the present invention provides a design method for an intelligent pet care robot, which can ensure that the designed intelligent pet care robot meets people's needs for pet care to the greatest extent, and designers with little experience can also design the intelligent pet care robot as quickly as possible, and has the characteristics of strong practicality.

[0008] To achieve the above object, the present invention provides the following technical solution: a method for designing an intelligent pet care robot, comprising the following steps:

[0009] S1: Use pet care needs as keywords to search big data and find out people’s current needs for pet care;

[0010] S2: Using the retrieved various needs of people for pet care as keywords to perform big data search, retrieve the current discussions of people for various needs of pet care, and count the number of discussions;

[0011] S3: Based on the current discussion on various needs of pet care, clarify the functions of the intelligent pet care robot design;

[0012] S4: Use the clear design function of the intelligent pet care robot as a keyword to search for big data and retrieve the devices that can realize this function on the market;

[0013] S5: Based on the design concept of the intelligent pet care robot, the devices used in the design of the intelligent pet care robot are clarified. The design concept includes low production cost and fast production response speed. Correspondingly, the devices used in the design include the lowest price device and the most powerful performance device;

[0014] S6: Based on the clear device used in the design of the intelligent pet care robot, clarify the data type;

[0015] S7: Segment the keywords with clear intelligent pet robot design functions, understand the keyword intent based on the keyword context, map the understood keyword intent to specific functions and operations in programming, and construct the code based on the mapped specific functions and operations of programming and clear data types;

[0016] S8: Purchase devices used based on the clear design of the smart pet-care robot, import the constructed code into the appropriate device, and assemble it to obtain the smart pet-care robot.

[0017] Furthermore, the specific steps of step S1 include:

[0018] S101: Preset the output volume of big data retrieval;

[0019] S102: Prioritize big data retrieval with pet care needs as keywords, output retrieval results, and if the amount of retrieval results does not reach the preset retrieval output amount, proceed to the next step;

[0020] S103: dividing the pet care demand into two words, namely, pet care and demand, performing a big data search using pet care as a keyword, and outputting the search results;

[0021] S104: Classify the words in the search results into pet care and other words, and determine the semantic relevance between the other words and the demand;

[0022] S105: retaining some other words based on the semantic relevance between the other words and the requirements, where the semantic similarity between the retained other words and the requirements is higher than a preset threshold;

[0023] S106: Combining pet care with some other retained words in sequence to perform big data search until the amount of search results reaches a preset search output amount.

[0024] Furthermore, in step S104, the specific steps of determining the semantic relevance between other words and the requirements include:

[0025] S1041: Collect historical data to train and construct a word vector model;

[0026] S1042: Mapping requirements and other words to a high-dimensional vector space based on a word vector model;

[0027] S1043: Calculate the distance between the demand and other words;

[0028] S1044: Determine the semantic relevance between the demand and other words based on the distance between the demand and other words. The closer the distance, the higher the relevance.

[0029] Furthermore, in step S4, the devices currently available on the market that can implement the function are retrieved, and at the same time, the prices and performance parameters of the devices that can implement the function are retrieved, and the performance advantages and disadvantages of the devices that can implement the function are retrieved based on the performance parameter comparison.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. The present invention uses pet care needs as keywords to perform big data retrieval, retrieves people's current various needs for pet care, and then uses the retrieved various current people's needs for pet care as keywords to perform big data retrieval, retrieves the current discussion volume of people on various needs for pet care and makes statistics, and then clarifies the design functions of the intelligent pet care robot based on the statistics of the current discussion volume of people on various needs for pet care, which can ensure to the greatest extent that the designed intelligent pet care robot meets people's needs for pet care. At the same time, based on the clear design function of the intelligent pet care robot, the device and code are clarified, and there is no need for designers to find matching devices and codes. Designers who are not yet experienced can also design the intelligent pet care robot at the fastest speed, which is highly practical.

[0032] 2. Before the present invention performs big data retrieval using pet care needs as keywords, the big data retrieval output volume is preset to ensure data support for subsequent steps. If the big data retrieval output volume does not meet the requirements, the keywords are automatically optimized for retrieval, thereby improving the overall intelligence level of the intelligent pet care robot design. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 The present invention is a flowchart of the method for designing an intelligent pet care robot. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] A method for designing an intelligent pet care robot comprises the following steps:

[0036] S1: Use pet care needs as keywords to search big data and find out people’s current needs for pet care;

[0037] S101: Preset the output volume of big data retrieval;

[0038] There is no specific standard for the preset output volume of big data retrieval, which can be preset according to the actual needs of the enterprise or individual using the application;

[0039] S102: Prioritize big data retrieval with pet care needs as keywords, output retrieval results, and if the amount of retrieval results does not reach the preset retrieval output amount, proceed to the next step;

[0040] S103: dividing the pet care demand into two words, namely, pet care and demand, performing a big data search using pet care as a keyword, and outputting the search results;

[0041] S104: Classify the words in the search results into pet care and other words, and determine the semantic relevance between the other words and the demand;

[0042] The specific steps for determining the semantic relevance between other words and requirements include:

[0043] S1041: Collect historical data to train and construct a word vector model;

[0044] S1042: Mapping requirements and other words to a high-dimensional vector space based on a word vector model;

[0045] S1043: Calculate the distance between the demand and other words;

[0046] S1044: judging the semantic relevance between the demand and other words based on the distance between the demand and other words, the closer the distance, the higher the relevance;

[0047] S105: retaining some other words based on the semantic relevance between the other words and the requirements, where the semantic similarity between the retained other words and the requirements is higher than a preset threshold;

[0048] S106: combining pet care with some other retained words in sequence to perform big data search until the amount of search results reaches a preset search output amount;

[0049] S2: Using the retrieved various needs of people for pet care as keywords to perform big data search, retrieve the current discussions of people for various needs of pet care, and count the number of discussions;

[0050] The retrieved discussions on people’s current needs for pet care include not only the number of posts published by bloggers on mainstream platforms such as Weibo, but also the number of valid likes, reposts, and comments under the posts published by bloggers;

[0051] S3: Based on the current discussion on various needs of pet care, clarify the functions of the intelligent pet care robot design;

[0052] The design functions of the intelligent pet care robot can be clarified based on the ranking of the demand statistical discussion volume, or the interest of the enterprise or individual using the application can be determined based on the statistical discussion volume;

[0053] S4: Use the clear design function of the intelligent pet care robot as the keyword to conduct a big data search, and retrieve the devices that can realize the function on the market, the prices of the devices that can realize the function, and the performance advantages and disadvantages;

[0054] The devices currently available on the market that can achieve this function will be searched and listed unless they are from the same manufacturer and the same product, which can be filtered out. If the enterprise or individual using the application has a cooperating manufacturer or a manufacturer of interest, the manufacturer can be preset, and the preset manufacturer will be searched first during big data retrieval;

[0055] The performance is based on the comparison of the performance parameters of the device that can achieve the function;

[0056] S5: Based on the design concept of the intelligent pet care robot, the devices used in the design of the intelligent pet care robot are clarified. The design concept includes low production cost and fast production response speed. Correspondingly, the devices used in the design include the lowest price device and the most powerful performance device;

[0057] S6: Based on the clear device used in the design of the intelligent pet care robot, clarify the data type;

[0058] The data type is a performance parameter that has been obtained in the big data retrieval process. This step is only to clarify the data type according to the device used in the clear intelligent pet care robot design;

[0059] S7: Segment the keywords with clear intelligent pet robot design functions, understand the keyword intent based on the keyword context, map the understood keyword intent to specific functions and operations in programming, and construct the code based on the mapped specific functions and operations of programming and clear data types;

[0060] S8: Purchase devices used based on the clear design of the smart pet-care robot, import the constructed code into the appropriate device, and assemble it to obtain the smart pet-care robot.

[0061] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for designing an intelligent pet care robot, characterized in that: The following steps are involved: S1: Use pet care needs as keywords to search big data and find out people’s current needs for pet care; S2: Using the retrieved various needs of people for pet care as keywords to perform big data search, retrieve the current discussions of people for various needs of pet care, and count the number of discussions; S3: Based on the current discussion on various needs of pet care, clarify the functions of the intelligent pet care robot design; S4: Use the clear design function of the intelligent pet care robot as a keyword to search for big data and retrieve the devices that can realize this function on the market; S5: Based on the design concept of the intelligent pet care robot, the devices used in the design of the intelligent pet care robot are clarified. The design concept includes low production cost and fast production response speed. Correspondingly, the devices used in the design include the lowest price device and the most powerful performance device; S6: Based on the clear device used in the design of the intelligent pet care robot, clarify the data type; S7: Segment the keywords with clear intelligent pet robot design functions, understand the keyword intent based on the keyword context, map the understood keyword intent to specific functions and operations in programming, and construct the code based on the mapped specific functions and operations of programming and clear data types; S8: Purchase devices used based on the clear design of the smart pet-care robot, import the constructed code into the appropriate device, and assemble it to obtain the smart pet-care robot.

2. The method for designing an intelligent pet care robot according to claim 1, characterized in that: The specific steps of step S1 include: S101: Preset the output volume of big data retrieval; S102: Prioritize big data retrieval with pet care needs as keywords, output retrieval results, and if the amount of retrieval results does not reach the preset retrieval output amount, proceed to the next step; S103: dividing the pet care demand into two words, namely, pet care and demand, performing a big data search using pet care as a keyword, and outputting the search results; S104: Classify the words in the search results into pet care and other words, and determine the semantic relevance between the other words and the demand; S105: retaining some other words based on the semantic relevance between the other words and the requirements, where the semantic similarity between the retained other words and the requirements is higher than a preset threshold; S106: Combining pet care with some other retained words in sequence to perform big data search until the amount of search results reaches a preset search output amount.

3. The method for designing an intelligent pet care robot according to claim 2, characterized in that: In step S104, the specific steps of determining the semantic relevance between other words and requirements include: S1041: Collect historical data to train and construct a word vector model; S1042: Mapping requirements and other words to a high-dimensional vector space based on a word vector model; S1043: Calculate the distance between the demand and other words; S1044: Determine the semantic relevance between the demand and other words based on the distance between the demand and other words. The closer the distance, the higher the relevance.

4. The method for designing an intelligent pet care robot according to claim 1, characterized in that: In step S4, the devices currently available on the market that can implement the function are retrieved, as well as the prices and performance parameters of the devices that can implement the function. At the same time, the performance advantages and disadvantages of the devices that can implement the function are retrieved based on the comparison of the performance parameters.

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