Intelligent electromechanical market strategy maker based on marketing data analysis
By introducing intelligent electromechanical market strategy maker in the electromechanical industry, using big data analysis and artificial intelligence algorithms for market data analysis, the problems of insufficient analysis depth and low intelligence of traditional strategy formulation are solved, and efficient and accurate markets are achieved Strategy development.
Patent Information
- Application Number
- CN202411268489.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-11
- Publication Date
- 2025-02-18
AI Technical Summary
The traditional market strategy formulation of electromechanical industries relies on manual analysis of market data, which has problems such as limited data processing capabilities, insufficient analysis depth, low intelligence and poor integration, making it difficult to effectively extract valuable information from massive market data.
Provides intelligent electromechanical market strategy maker based on marketing data analysis, including data acquisition module, data storage module, data preprocessing module, big data analysis module, strategy generation module and user interface module, using machine learning algorithms and deep learning models to make multiple use of multiple Dimensional, multi-level analysis, and automatically generate optimized market strategy suggestions.
By introducing big data analysis technology and artificial intelligence algorithms, efficient and in-depth market data analysis is achieved, and the problems of insufficient analysis depth, low intelligence and poor integration of traditional analysis technologies are solved, providing a scientific basis for the accurate formulation of market strategies.
Smart Images
Figure CN119477364A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of marketing equipment, and in particular to an intelligent electromechanical market strategy maker based on marketing data analysis. Background Art
[0002] The electromechanical industry is a comprehensive field that integrates multidisciplinary technologies such as machinery, electronics, and automation control. It focuses on the design, manufacture, maintenance, and optimization of various electromechanical equipment, such as motors, control systems, and automated production lines, and is widely used in manufacturing, energy, transportation, aerospace, and other industries, promoting industrial upgrading and intelligent development.
[0003] In the electromechanical industry, traditional market strategy formulation often relies on manual analysis of market data, which is not only time-consuming and labor-intensive, but also has obvious limitations in data processing capabilities and analysis depth. With the advent of the big data era, the amount of market data has grown exponentially, covering multiple dimensions such as consumer behavior, market trends, and competitor analysis. However, existing data analysis tools and methods often seem to be unable to cope with such a large data set and are unable to effectively extract valuable information to provide a scientific basis for the formulation of market strategies. Specifically, existing technologies have obvious deficiencies in the following aspects: limited data processing capabilities: traditional data analysis methods are limited by computing resources and data processing technologies, and cannot efficiently process massive amounts of data, resulting in omissions or delays in key information; insufficient analysis depth: manual analysis is often based on limited data samples and empirical judgments, making it difficult to deeply explore the complex relationships and potential trends behind the data, affecting the accuracy and foresight of market strategies; low level of intelligence: existing systems lack intelligent learning and adaptability, and are unable to automatically adjust analysis models according to market changes, resulting in the formulation of market strategies lagging behind market dynamics; poor integration: market data from different sources and types are often analyzed in isolation, lacking effective data integration and cross-domain analysis, which limits the formation of comprehensive market insights. Summary of the invention
[0004] The purpose of the present invention is to provide an intelligent electromechanical market strategy maker based on marketing data analysis to solve the problems raised in the above background technology.
[0005] To achieve the above-mentioned purpose, the present invention provides an intelligent electromechanical market strategy maker based on marketing data analysis, including a maker host, a display screen and a sound system are respectively provided on the front of the maker host, a control module is provided on the back of the maker host, a protective cover is slidably connected to the upper end of the maker host, a lifting mechanism is provided at the lower end of the protective cover, a linkage mechanism is provided on the outer side of the lifting mechanism, a cleaning mechanism is provided on the inner side of the protective cover, a connecting shell is provided at the lower end of the maker host, and a connecting hole is provided on the inner side of the connecting shell; The control module includes a data acquisition module, a data storage module, a data preprocessing module, a big data analysis module, a strategy generation module and a user interface module. The data acquisition module is used to control the module to collect massive market data in real time from various relevant channels such as sales records, customer feedback, social media, competitor dynamics, etc. The data storage module is used to control the module to adopt distributed database technology to efficiently store and quickly access large-scale data. The data preprocessing module is used to control the module to process the acquired data so that the data is more suitable for subsequent analysis or modeling. The big data analysis module is used to control the module to use machine learning algorithms and deep learning models to perform multi-dimensional and multi-level analysis on the preprocessed data to extract valuable information. The strategy generation module is used to control the module to automatically generate optimized market strategy recommendations based on the analysis results, combined with business rules and expert knowledge base. The user interface module is used to control the module to provide a friendly interactive interface, so that users can easily view the analysis results and strategy recommendations, and support personalized customization; The lifting mechanism comprises a U-shaped frame, the U-shaped frame is fixedly mounted on the back of the main frame of the setting device, a first mounting groove is symmetrically opened on the outer side of the U-shaped frame, the inner side of the first mounting groove is slidably connected to the lifting block, the inner side of the first mounting groove is rotatably connected to the screw, the lifting block is threadedly connected to the outer side of the screw, the side of the lifting block away from the first mounting groove is fixedly connected to a connecting rod, the other end of the connecting rod away from the lifting block is fixedly mounted to the lower end of the protective cover, and the linkage mechanism is arranged at the lower end of the screw; The linkage mechanism includes a second mounting groove, the second mounting groove is arranged on the back side of the U-shaped frame, a linkage rod is rotatably connected to the inner side of the second mounting groove, a second bevel gear is fixedly installed to the outer side of the linkage rod, the lower end of the screw rod extends into the inner side of the second mounting groove and a first bevel gear is fixedly installed, the second bevel gear on the outer side of both ends of the linkage rod is meshed with the first bevel gear, a driving motor is fixedly installed to the inner side of the second mounting groove, a third bevel gear is fixedly installed to the output end of the driving motor, and the third bevel gear is meshed with the second bevel gear in the middle of the linkage rod; The cleaning mechanism includes a mounting hole, which is opened on the inner side of the protective cover. A mounting plate is fixedly installed on the front side of the protective cover. A connecting plate is fixedly installed on one side of the mounting plate by screws. A sponge strip is provided on the other side of the connecting plate away from the mounting plate. The mounting plate slides through the mounting hole through the connecting plate.
[0006] Furthermore, the lower end of the U-shaped frame is rotatably connected to a blocking cover through a hinge, and the blocking cover is magnetically connected to the upper half of the back side of the U-shaped frame on one side facing the second mounting groove, and a heat dissipation hole is provided on the inner side of the blocking cover, and the position of the heat dissipation hole corresponds to the position of the drive motor. A pull handle is fixedly connected to the back side of the blocking cover, and a mounting frame is fixedly installed on the inner side of the second mounting groove, and the drive motor and the mounting frame are fixedly installed.
[0007] Furthermore, the side of the sponge strip away from the connecting plate is in an arc shape, the upper end of the setting device main body is provided with an arc edge groove, the front surface of the mounting hole is provided with an assembly groove, the inner side of the mounting plate is provided with an assembly hole, and the mounting plate is fixed on the inner side of the assembly groove by screws passing through the assembly hole, and the specifications of the connecting plate are compatible with the hole shape of the mounting hole.
[0008] Furthermore, a groove is provided on a side of the mounting plate away from the mounting hole, the groove is provided in the middle of the mounting plate, and a pull rod is fixedly installed on the inner side of the groove.
[0009] Furthermore, a first slide groove is symmetrically opened on the upper end of the setting device main body, a slider is symmetrically fixedly connected to the inner side of the protective cover, the protective cover is slidably connected to the first slide groove through the slider, a second slide groove is symmetrically opened on the outer side of the setting device main body, and one side of the connecting rod is slidably connected to the inner side of the second slide groove.
[0010] Furthermore, the data preprocessing module includes a data cleaning unit, a data deduplication unit and a format conversion unit. The data cleaning unit is used by the data preprocessing module to clean the acquired data by using a function formula to eliminate invalid or erroneous data. The data deduplication unit is used by the data preprocessing module to identify the acquired data and remove duplicate records or entries in the data set to improve data quality and accuracy. The format conversion unit is used by the data preprocessing module to handle the problem of inconsistent data formats to ensure that the data can be smoothly analyzed in the subsequent process.
[0011] Furthermore, the big data analysis module includes a descriptive analysis unit, a diagnostic analysis unit, a predictive analysis unit, and a normative analysis unit. The descriptive analysis unit is used by the big data analysis module to perform statistical descriptions on the data and understand the basic characteristics and distribution of the data. The diagnostic analysis unit is used by the big data analysis module to diagnose problems or discover abnormal patterns in the data through methods such as data comparison and correlation analysis. The predictive analysis unit is used to predict future trends or results using methods such as machine deep learning and time series analysis. The descriptive analysis unit is used by the big data analysis module to optimize algorithms and decision support models and provide improvement suggestions.
[0012] Compared with the prior art, the present invention has the following beneficial effects: First, in the present invention, the data acquisition module obtains original market data from various data sources and transmits it to the data storage module for storage. The data preprocessing module cleans and converts the stored data to ensure that it is suitable for subsequent analysis and processing. The big data analysis module applies advanced machine learning algorithms, such as cluster analysis, regression prediction and neural network models, to deeply mine the preprocessed data and identify potential trends and key factors. The strategy generation module automatically generates a series of optimized market strategy suggestions based on the big data analysis results, as well as built-in business rules and expert knowledge bases, covering product pricing, promotion activity design, channel selection and other aspects. The user interface module displays the final generated strategy suggestions to the user in the form of charts or reports, and allows the user to adjust or further refine them according to actual needs. By introducing big data analysis technology and artificial intelligence algorithms, the present invention can efficiently and deeply analyze the market data of the electromechanical industry, provide a scientific basis for the precise formulation of market strategies, and effectively solve the problems of insufficient analysis depth, low intelligence and poor integration of current traditional analysis technologies; Secondly, in the present invention, on the basis of the protective cover sliding on the mainframe of the setting device, the third bevel gear at the output end of the driving motor is used to mesh with the second bevel gear in the middle of the transmission linkage rod, so that the linkage rod rotates inside the second mounting groove, and the rotation of the linkage rod makes the second bevel gears at the two ends of the outer side mesh with the first bevel gear, so that the screw connected to the first bevel gear can rotate inside the first mounting groove of the U-shaped frame. Since the two screws run synchronously, the lifting block threadedly connected to the outer side of the screw is connected to the same protective cover through the connecting rod, so that when not in use, the protective cover can be moved down to cover and protect the display screen part of the mainframe of the setting device to avoid damage by bumps; Thirdly, in the present invention, a mounting plate is installed at the mounting hole of the protective cover, and the mounting plate is connected to the sponge strip through the connecting plate. The sponge strip can clean and remove dust from the display screen of the setting device host during the lifting and lowering of the protective cover. When the sponge strip needs to be replaced, it is only necessary to remove the connecting plate part of the sponge strip from the mounting plate and replace it with a new one, thereby making it convenient for the user to clean and use the display screen part of the setting device host. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] Figure 1 It is a structural schematic diagram of the present invention; Figure 2 It is a schematic diagram of the back structure of the present invention; Figure 3 It is a schematic diagram of the local structure of the top of the mainframe of the setting device in the present invention; Figure 4 For the present invention Figure 3 Enlarged view of point A in the middle; Figure 5 It is a side view of the mainframe of the setting device in the present invention; Figure 6 It is a schematic diagram of the cleaning mechanism structure of the present invention; Figure 7 It is a schematic diagram of the linkage mechanism structure in the present invention; Figure 8 It is a schematic diagram of the control module system architecture module in the present invention; Fig. 9 This is a schematic diagram of the internal architecture module of the data preprocessing module in the present invention; Fig.10 Schematic diagram of the internal architecture module of the big data analysis module in the present invention Fig.11 It is a flow chart of the cleaning algorithm in the present invention; Fig.12 It is a schematic diagram of the calculation formula of the size of m in the present invention; Fig.13 Schematic diagram of the formula for calculating the input data amount of n in the present invention; Fig.14 Schematic diagram of the calculation formula of k in the present invention; Fig.15 Schematic diagram of the HK function formula in the present invention.
[0014] In the figure: 1. main unit of the setting device; 2. connecting shell; 3. connecting hole; 4. protective cover; 5. cleaning mechanism; 501. mounting hole; 502. sponge strip; 503. mounting plate; 504. connecting plate; 6. lifting mechanism; 601. U-shaped frame; 602. screw rod; 603. lifting block; 604. first mounting slot; 605. connecting rod; 7. display screen; 701. sound; 8. cover; 801. heat dissipation hole; 9. handle; 10. control module; 101. data acquisition module; 102. data storage module; 103. data preprocessing module; 104. big data analysis module; 105. strategy generation module; 106. User interface module; 1031, data cleaning unit; 1032, data deduplication unit; 1033, format conversion unit; 1041, description analysis unit; 1042, diagnosis analysis unit; 1043, prediction analysis unit; 1044, normative analysis unit; 11, arc edge groove; 12, first slide groove; 13, slider; 14, assembly groove; 15, assembly hole; 16, groove; 17, pull rod; 18, linkage mechanism; 181, second installation groove; 182, first bevel gear; 183, second bevel gear; 184, linkage rod; 185, drive motor; 186, third bevel gear; 19, mounting bracket; 20, second slide groove. DETAILED DESCRIPTION
[0015] See also Figure 1-Figure 8In an embodiment of the present invention, an intelligent electromechanical market strategy maker based on marketing data analysis includes a maker host 1, a display screen 7 and an audio system 701 are respectively provided on the front of the maker host 1, a control module 10 is provided on the back of the maker host 1, a protective cover 4 is slidably connected to the upper end of the maker host 1, a lifting mechanism 6 is provided at the lower end of the protective cover 4, a linkage mechanism 18 is provided on the outer side of the lifting mechanism 6, a cleaning mechanism 5 is provided on the inner side of the protective cover 4, a connecting shell 2 is provided at the lower end of the maker host 1, a connecting hole 3 is provided on the inner side of the connecting shell 2, and the connecting shell 2 with the connecting hole 3 at the lower end of the maker host 1 is convenient for connection and installation with an external bracket; The lifting mechanism 6 includes a U-shaped frame 601, which is fixedly installed on the back of the setting device mainframe 1. A first mounting groove 604 is symmetrically opened on the outer side of the U-shaped frame 601. The inner side of the first mounting groove 604 is slidably connected to the lifting block 603. The inner side of the first mounting groove 604 is rotatably connected to the screw 602. The lifting block 603 is threadedly connected to the outer side of the screw 602. The side of the lifting block 603 away from the first mounting groove 604 is fixedly connected to a connecting rod 605. The other end of the connecting rod 605 away from the lifting block 603 is fixedly installed with the lower end of the protective cover 4. The linkage mechanism 18 is arranged at the lower end of the screw 602. The linkage mechanism 18 includes a second mounting The second mounting groove 181 is provided on the back of the U-shaped frame 601, the inner side of the second mounting groove 181 is rotatably connected with a linkage rod 184, the outer side of the linkage rod 184 is fixedly installed with a second bevel gear 183, the lower end of the screw 602 extends into the inner side of the second mounting groove 181 and the first bevel gear 182 is fixedly installed, the second bevel gear 183 and the first bevel gear 182 on the outer sides of the linkage rod 184 are meshed and connected, the inner side of the second mounting groove 181 is fixedly installed with a drive motor 185, the output end of the drive motor 185 is fixedly installed with a third bevel gear 186, the third bevel gear 186 and the second bevel gear 186 in the middle of the linkage rod 184 are fixedly installed with the third bevel gear 186, and the second bevel gear 186 and the second bevel gear 182 on the outer sides of the linkage rod 184 are meshed and connected, and the second bevel gear 183 and the first bevel gear 182 on the outer sides of the linkage rod 184 are meshed and connected, and the second bevel gear 185 and the second bevel gear 186 on the inner side of the second mounting groove 181 are fixedly installed with the third bevel gear 186. The bevel gear 183 is meshedly connected. On the basis of sliding on the setting device mainframe 1 through the protective cover 4, the third bevel gear 186 at the output end of the driving motor 185 is meshed with the second bevel gear 183 in the middle of the transmission linkage rod 184, so that the linkage rod 184 rotates inside the second mounting groove 181, and the rotation of the linkage rod 184 makes the second bevel gears 183 at both ends of the outer side mesh with the first bevel gear 182, so that the screw 602 connected to the first bevel gear 182 can rotate inside the first mounting groove 604 of the U-shaped frame 601. Since the two screws 602 run synchronously, the lifting block 603 connected to the outer thread of the screw 602 is connected to the lifting block 603 through the screw 602. It is connected to the same protective cover 4 through a connecting rod 605, so that when not in use, the protective cover 4 can be moved down to cover and protect the display screen 7 of the setting machine host 1 to avoid damage from bumps; an indicator light, a power button and a function button are also provided on the front of the setting machine host 1, and a touch sensor is also provided at the power button to detect whether the power button is pressed or released. At the same time, the sensing signal will be given to the control module 10, and the control module 10 can control the drive motor 185. Therefore, when the power is turned on, the protective cover 4 can be automatically opened. Conversely, when the power is turned off, the protective cover 4 automatically closes to protect the display screen 7 of the setting machine host 1.
[0016] The cleaning mechanism 5 includes a mounting hole 501, which is provided on the inner side of the protective cover 4. A mounting plate 503 is fixedly installed on the front side of the protective cover 4. A connecting plate 504 is fixedly installed on one side of the mounting plate 503 by screws. A sponge strip 502 is provided on the other side of the connecting plate 504 away from the mounting plate 503. The mounting plate 503 slides through the mounting hole 501 through the connecting plate 504. The mounting plate 503 is installed at the mounting hole 501 of the protective cover 4, and the mounting plate 503 is connected to the sponge strip 502 through the connecting plate 504. The sponge strip 502 can clean and remove dust from the display screen 7 of the setting device host 1 during the lifting and lowering of the protective cover 4. When the sponge strip 502 needs to be replaced, it is only necessary to remove the connecting plate 504 part of the sponge strip 502 from the mounting plate 503 and replace it with a new one, so that it is convenient for users to clean and use the display screen 7 of the setting device host 1. See also Figure 2 The lower end of the U-shaped frame 601 is connected to a blocking cover 8 by a hinge, and the blocking cover 8 is magnetically connected to the upper half of the back side of the U-shaped frame 601 on one side facing the second mounting groove 181. A heat dissipation hole 801 is opened on the inner side of the blocking cover 8, and the position of the heat dissipation hole 801 corresponds to the position of the drive motor 185. A pull handle 9 is fixedly connected to the back side of the blocking cover 8, and a mounting frame 19 is fixedly installed on the inner side of the second mounting groove 181. The drive motor 185 and the mounting frame 19 are fixedly installed. The upper end of the blocking cover 8 that is rotated by the hinge at the lower end of the U-shaped frame 601 is magnetically fixed to the second mounting groove 181 of the U-shaped frame 601, which can conveniently protect the transmission components inside the second mounting groove 181, and the heat dissipation holes 801 added on the blocking cover 8 can play a certain heat dissipation protection role for the drive motor 185. In addition, the mounting frame 19 on the inner side of the second mounting groove 181 can facilitate the installation and fixation of the drive motor 185.
[0017] See also Figure 4 and Figure 6The side of the sponge strip 502 away from the connecting plate 504 is in an arc shape, the upper end of the setting device host 1 is provided with an arc ridge groove 11, the front surface of the mounting hole 501 is provided with an assembly groove 14, the inner side of the mounting plate 503 is provided with an assembly hole 15, and the mounting plate 503 is fixedly installed on the inner side of the assembly groove 14 by screws penetrating the assembly hole 15. The specifications of the connecting plate 504 are adapted to the hole shape of the mounting hole 501. The arc-shaped sponge strip 502 of the cleaning sponge can be used to conveniently clean the display screen 7 of the setting device host 1, and the arc ridge groove 11 on the setting device host 1 can During the downward movement of the sponge strip 502, obstruction to the lower end of the sponge strip 502 is avoided, thereby improving the service life of the sponge strip 502 to a certain extent. When installing the mounting plate 503, the mounting plate 503 is inserted into the assembly groove 14. When the assembly hole 15 on the mounting plate 503 overlaps with the screw hole in the assembly groove 14, it is convenient to install and fix it with screws; the sponge strip 502 itself has a certain elasticity, so the contact effect between the sponge strip 502 and the surface of the display screen 7 of the setting device host 1 can be guaranteed, and it is convenient to clean it.
[0018] See also Figure 6 A groove 16 is provided on one side of the mounting plate 503 away from the mounting hole 501. The groove 16 is provided in the middle of the mounting plate 503. A pull rod 17 is fixedly installed on the inner side of the groove 16. The pull rod 17 in the groove 16 at the mounting plate 503 can be used to facilitate the disassembly and assembly of the mounting plate 503 on the protective cover 4.
[0019] See also Figure 5 A first slide groove 12 is symmetrically provided at the upper end of the setting device main body 1, a slider 13 is symmetrically fixedly connected to the inner side of the protective cover 4, the protective cover 4 is slidably connected to the first slide groove 12 through the slider 13, and a second slide groove 20 is symmetrically provided on the outer side of the setting device main body 1, and one side of the connecting rod 605 is slidably connected to the inner side of the second slide groove 20. By sliding the protective cover 4 with the slider 13 at the first slide groove 12 on the setting device main body 1, the stability of the protective cover 4 can be improved, and by sliding the connecting rod 605 at the second slide groove 20 on the setting device main body 1, the stability of the connecting rod 605 can be further improved.
[0020] See also Figure 8 and Fig. 9 and Fig.10 and Fig.11 and Fig.12 and Fig.13 and Fig.14 and Fig.15The control module 10 includes a data acquisition module 101, a data storage module 102, a data preprocessing module 103, a big data analysis module 104, a strategy generation module 105 and a user interface module 106. The data acquisition module 101 is used for the control module 10 to collect massive market data in real time from various relevant channels such as sales records, customer feedback, social media, competitor dynamics, etc. The data storage module 102 is used for the control module 10 to use distributed database technology to efficiently store and quickly access large-scale data. The data preprocessing module 103 is used for the control module 10 to process the acquired data so that the data is more suitable for subsequent analysis or modeling. The big data analysis module 104 is used for the control module 10 to use machine learning algorithms and deep learning models to perform multi-dimensional and multi-level analysis on the preprocessed data to extract valuable information. The strategy generation module 105 is used for the control module 10 to automatically generate optimized market strategy recommendations based on the analysis results, combined with business rules and expert knowledge bases. The user interface module 106 is used for the control module 10 to provide a friendly interactive interface so that users can easily view the analysis results and strategy recommendations, and support personalized customization.
[0021] Operation steps: Start the system and configure relevant parameters, such as target market area, time range, etc. The system automatically runs various functional modules, from collection to preprocessing, to big data analysis and strategy generation, without any human intervention. Users can view the market strategy suggestions generated by the system through the interface and modify or confirm the execution as needed.
[0022] Step 1: Initialize the filter. The initialization content includes: an integer array M for storing the data time attribute, with a size of m; the size of m is calculated according to the following formula: Fig.12 ; Where n is the size of the input data: Fig.13 ; P represents the probability that a cell in the integer array is still empty after k·n mappings, k is the number of hash functions; k hash functions h1…hk are used to map data tag information to integer arrays; the size of k must satisfy the following inequality: k·n<m; where n is the size of the input data, and m is the size of the integer array; the calculation formula of k is: Fig.14 ; Among them, n is the size of the input data, m is the size of the integer array; the mapping function HK is used to map the integer array index value to the Map collection key value; the HK function formula is: Fig.15 ; Among them, j represents a unit of the integer array selected by the hash function. This formula indicates that the selected integer array unit subscript is converted from binary to decimal according to the weight of its position. k is the number of hash functions. Map set P is used to save data strength attributes, and its size changes with the amount of data. The time threshold τ and the strength threshold α respectively determine whether the time attribute and strength attribute of the data are redundant. Redundancy judgment is performed on the current data X. Data X is transmitted in the format of {ID, TIME, RSSI} and redundancy cleaning is performed according to the following cleaning rules.
[0023] The data preprocessing module 103 includes a data cleaning unit 1031, a data deduplication unit 1032 and a format conversion unit 1033. The data cleaning unit 1031 is used by the data preprocessing module 103 to clean the acquired data by using a function formula to remove invalid or erroneous data. The data deduplication unit 1032 is used by the data preprocessing module 103 to identify the acquired data and remove duplicate records or entries in the data set to improve data quality and accuracy. The format conversion unit 1033 is used by the data preprocessing module 103 to handle the problem of inconsistent data formats to ensure that the data can be smoothly analyzed in the subsequent process.
[0024] The big data analysis module 104 includes a description analysis unit 1041, a diagnosis analysis unit 1042, a prediction analysis unit 1043, and a normative analysis unit 1044. The description analysis unit 1041 is used by the big data analysis module 104 to perform statistical descriptions on the data and understand the basic characteristics and distribution of the data. The diagnosis analysis unit 1042 is used by the big data analysis module 104 to diagnose problems or discover abnormal patterns in the data through methods such as data comparison and association analysis. The prediction analysis unit 1043 is used to predict future trends or results using methods such as machine deep learning and time series analysis. The description analysis unit 1041 is used by the big data analysis module 104 to optimize algorithms and decision support models and provide improvement suggestions.
[0025] The working principle of the present invention is: during use, the protective cover 4 slides on the setting device mainframe 1, and the third bevel gear 186 at the output end of the driving motor 185 is used to mesh with the second bevel gear 183 in the middle of the transmission linkage rod 184, so that the linkage rod 184 rotates inside the second mounting groove 181, and the rotation of the linkage rod 184 makes the second bevel gears 183 at the two ends of the outer side mesh with the first bevel gear 182, so that the screw rod 602 connected to the first bevel gear 182 can rotate inside the first mounting groove 604 of the U-shaped frame 601. Since the two screw rods 602 run synchronously, and the lifting block 603 threadedly connected to the outer side of the screw 602 is connected to the same protective cover 4 through the connecting rod 605, when not in use, the protective cover 4 can move down to cover and protect the display screen 7 part of the setting device mainframe 1; By installing the mounting plate 503 at the mounting hole 501 of the protective cover 4, and the mounting plate 503 is connected to the sponge strip 502 through the connecting plate 504, the sponge strip 502 can clean and remove dust from the display screen 7 of the setting device host 1 during the lifting and lowering of the protective cover 4, and when the sponge strip 502 needs to be replaced, it is only necessary to remove the connecting plate 504 part of the sponge strip 502 from the mounting plate 503 and replace it with a new one.
Claims
1. Intelligent electromechanical market strategy maker based on marketing data analysis, characterized by: The device comprises a setting device host (1), wherein a display screen (7) and a sound system (701) are respectively provided on the front of the setting device host (1), a control module (10) is provided on the back of the setting device host (1), a protective cover (4) is slidably connected to the upper end of the setting device host (1), a lifting mechanism (6) is provided at the lower end of the protective cover (4), a linkage mechanism (18) is provided on the outer side of the lifting mechanism (6), a cleaning mechanism (5) is provided on the inner side of the protective cover (4), a connecting shell (2) is provided at the lower end of the setting device host (1), and a connecting hole (3) is provided on the inner side of the connecting shell (2); The control module (10) comprises a data collection module (101), a data storage module (102), a data preprocessing module (103), a big data analysis module (104), a strategy generation module (105) and a user interface module (106). The data collection module (101) is used for the control module (10) to collect massive market data in real time from various relevant channel sources such as sales records, customer feedback, social media, competitor dynamics, etc. The data storage module (102) is used for the control module (10) to use distributed database technology to efficiently store and quickly access large-scale data. The data preprocessing module (103) is used for The control module (10) processes the acquired data so that the data is more suitable for subsequent analysis or modeling work. The big data analysis module (104) is used for the control module (10) to use machine learning algorithms and deep learning models to perform multi-dimensional and multi-level analysis on the pre-processed data to extract valuable information. The strategy generation module (105) is used for the control module (10) to automatically generate optimized market strategy recommendations based on the analysis results, combined with business rules and expert knowledge base. The user interface module (106) is used for the control module (10) to provide a friendly interactive interface, so that users can easily view the analysis results and strategy recommendations, and support personalized customization.
2. The intelligent electromechanical market strategy maker based on marketing data analysis according to claim 1 is characterized in that: The data preprocessing module (103) comprises a data cleaning unit (1031), a data deduplication unit (1032) and a format conversion unit (1033). The data cleaning unit (1031) is used by the data preprocessing module (103) to clean the acquired data by using a function formula to remove invalid or erroneous data. The data deduplication unit (1032) is used by the data preprocessing module (103) to identify the acquired data and remove duplicate records or entries in the data set to improve data quality and accuracy. The format conversion unit (1033) is used by the data preprocessing module (103) to handle the problem of inconsistent data formats to ensure that the data can be smoothly analyzed in the subsequent process.
3. The intelligent electromechanical market strategy maker based on marketing data analysis according to claim 1, characterized in that: The big data analysis module (104) includes a description analysis unit (1041), a diagnosis analysis unit (1042), a prediction analysis unit (1043), and a normative analysis unit (1044). The description analysis unit (1041) is used by the big data analysis module (104) to perform statistical descriptions on the data and understand the basic characteristics and distribution of the data. The diagnosis analysis unit (1042) is used by the big data analysis module (104) to diagnose problems or discover abnormal patterns in the data through methods such as data comparison and association analysis. The prediction analysis unit (1043) is used to predict future trends or results using methods such as machine deep learning and time series analysis. The description analysis unit (1041) is used by the big data analysis module (104) to optimize algorithms and decision support models and provide improvement suggestions.
4. The intelligent electromechanical market strategy maker based on marketing data analysis according to claim 1, characterized in that: The lifting mechanism (6) comprises a U-shaped frame (601), wherein the U-shaped frame (601) is fixedly mounted on the back of the setting device mainframe (1), and a first mounting groove (604) is symmetrically provided on the outer side of the U-shaped frame (601), and a lifting block (603) is slidably connected to the inner side of the first mounting groove (604), and a screw rod (602) is rotatably connected to the inner side of the first mounting groove (604), and the lifting block (603) is threadedly connected to the outer side of the screw rod (602), and a connecting rod (605) is fixedly connected to the side of the lifting block (603) away from the first mounting groove (604), and the other end of the connecting rod (605) away from the lifting block (603) is fixedly mounted to the lower end of the protective cover (4), and the linkage mechanism (18) is arranged at the lower end of the screw rod (602).
5. The intelligent electromechanical market strategy maker based on marketing data analysis according to claim 4 is characterized in that: A first slide groove (12) is symmetrically provided at the upper end of the setting device main body (1), the protective cover (4) is slidably connected to the first slide groove (12) via a slider (13), a second slide groove (20) is symmetrically provided on the outer side of the setting device main body (1), and one side of the connecting rod (605) is slidably connected to the inner side of the second slide groove (20).
6. The intelligent electromechanical market strategy maker based on marketing data analysis according to claim 4, characterized in that: The linkage mechanism (18) comprises a second mounting groove (181), the second mounting groove (181) being arranged on the back side of the U-shaped frame (601), a linkage rod (184) being rotatably connected to the inner side of the second mounting groove (181), a second bevel gear (183) being fixedly mounted to the outer side of the linkage rod (184), the lower end of the screw rod (602) extending into the inner side of the second mounting groove (181) being fixedly mounted with a first bevel gear (182), the second bevel gear (183) and the first bevel gear (182) being meshingly connected on the outer sides of both ends of the linkage rod (184), a driving motor (185) being fixedly mounted on the inner side of the second mounting groove (181), a third bevel gear (186) being fixedly mounted on the output end of the driving motor (185), the third bevel gear (186) being meshingly connected with the second bevel gear (183) at the middle of the linkage rod (184).
7. The intelligent electromechanical market strategy maker based on marketing data analysis according to claim 6, characterized in that: The lower end of the U-shaped frame (601) is rotatably connected to a blocking cover (8) via a hinge; the blocking cover (8) is magnetically connected to the upper half of the back side of the U-shaped frame (601) on one side facing the second mounting groove (181); a heat dissipation hole (801) is provided on the inner side of the blocking cover (8); the position of the heat dissipation hole (801) corresponds to the position of the drive motor (185); a pull handle (9) is fixedly connected to the back side of the blocking cover (8); a mounting frame (19) is fixedly mounted on the inner side of the second mounting groove (181); and the drive motor (185) and the mounting frame (19) are fixedly mounted.
8. The intelligent electromechanical market strategy maker based on marketing data analysis according to claim 1, characterized in that: The cleaning mechanism (5) comprises a mounting hole (501), wherein the mounting hole (501) is provided on the inner side of the protective cover (4), a mounting plate (503) is fixedly mounted on the front side of the protective cover (4), a connecting plate (504) is fixedly mounted on one side of the mounting plate (503) by means of screws, a sponge strip (502) is provided on the other side of the connecting plate (504) away from the mounting plate (503), and the mounting plate (503) slides through the mounting hole (501) via the connecting plate (504).
9. The intelligent electromechanical market strategy maker based on marketing data analysis according to claim 8, characterized in that: The side of the sponge strip (502) away from the connecting plate (504) is in an arc shape, the upper end of the setting device main body (1) is provided with an arc edge groove (11), the front surface of the mounting hole (501) is provided with an assembly groove (14), the inner side of the mounting plate (503) is provided with an assembly hole (15), the mounting plate (503) is fixedly installed on the inner side of the assembly groove (14) by screws passing through the assembly hole (15), the specification of the connecting plate (504) is compatible with the hole shape of the mounting hole (501), the side of the mounting plate (503) away from the mounting hole (501) is provided with a groove (16), the groove (16) is arranged in the middle of the mounting plate (503), and a pull rod (17) is fixedly installed on the inner side of the groove (16).
10. The intelligent electromechanical market strategy maker based on marketing data analysis according to claim 1, characterized in that: A first sliding groove (12) is symmetrically provided at the upper end of the setting device main body (1), and a sliding block (13) is symmetrically fixedly connected to the inner side of the protective cover (4).