Report analysis method based on intelligent identification

Abstract

The invention discloses a report analysis method based on intelligent recognition, and relates to the technical field of data analysis, the analysis method adopts a report analysis system to work, and the report analysis system comprises a data acquisition module, a report analysis module, a replacement reminding module and an intelligent matching module. The data acquisition module is used for marking sports equipment and collecting lending and returning data, and the report analysis module is used for analyzing the damage degree of the sports equipment according to the lending and returning data and counting the use preference of each user. The replacement reminding module is used for judging sports equipment needing to be replaced according to big data analysis and reminding management personnel, the intelligent matching module is used for recommending to a user according to the damage degree and use preference of the equipment, and the data acquisition module comprises an equipment marking module. The method has the characteristic of efficient judgment.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a report analysis method based on intelligent recognition. Background Art

[0002] The intelligent identification report analysis method is a data-driven analysis technology that aims to deeply mine and accurately identify large amounts of data to improve the use value and decision support capabilities of the report. In the gymnasium, reports are also used to number table tennis rackets, badminton rackets, etc. to count their use and return.

[0003] In the prior art, many sports equipment require special inspection by humans to see if they are damaged, or users need to report to management departments. These two methods of judging whether sports equipment is damaged are relatively inefficient, causing many users to repeatedly select from inventory to choose a suitable sports equipment. At the same time, many sports equipment are not damaged suddenly, but gradually damaged after a large number of uses. It is difficult for humans to judge whether they have reached the conditions for replacement, resulting in unnecessary waste and excessive use. Therefore, it is necessary to design a report analysis method based on intelligent recognition for efficient judgment. Summary of the invention

[0004] The purpose of the present invention is to provide a report analysis method based on intelligent recognition to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a report analysis method based on intelligent identification, which analysis method adopts a report analysis system to work, and the report analysis system includes a data acquisition module, a report analysis module, a replacement reminder module, and an intelligent matching module. The data acquisition module is used to mark the sports equipment and collect the borrowing and returning data. The report analysis module is used to analyze the degree of damage of the sports equipment according to the borrowing and returning data, and to compile statistics on the usage preferences of each user. The replacement reminder module is used to determine the sports equipment that needs to be replaced after big data analysis, and to remind the management personnel. The intelligent matching module is used to make recommendations to users based on the degree of damage and usage preferences of the equipment.

[0006] According to the above technical solution, the data acquisition module includes an equipment marking module, a lending record module, a return record module, a user login module, an equipment scanning unit, and a location tracking unit. The location tracking unit is electrically connected to the equipment scanning unit, the equipment scanning unit is electrically connected to the equipment marking module, the equipment marking module is electrically connected to the lending record module and the return record module, the user login module is electrically connected to the lending record module, the equipment marking submodule is used to scan the barcode of the sports equipment to uniquely identify the sports equipment, the lending record module is used to record the lending time and user information of the equipment, the return record module is used to record the return location and use time of the sports equipment, the user login module is used for the user to log in when entering the sports equipment lending place to facilitate identity confirmation, the equipment scanning unit is used to perform the function of scanning the equipment barcode, and the location tracking unit is used to identify the current sports equipment by image recognition, and track and record the placement location of the currently returned equipment;

[0007] The report analysis module includes a damage degree analysis module, a usage preference statistics module, and a database. The database is electrically connected to the damage degree analysis module and the usage preference statistics module. The damage degree analysis module is electrically connected to the return record module. The damage degree analysis module is used to evaluate the damage of sports equipment according to the data of borrowing and returning, and provide a reference for repair and replacement. The usage preference statistics module is used to analyze the usage habits and preferences of different users for sports equipment, and help managers understand usage trends. The database is used to classify and store data of various sports equipment and users;

[0008] The replacement reminder module includes a threshold judgment module and a reminder module. The threshold judgment module is electrically connected to the damage degree analysis module, and the reminder module is electrically connected to the threshold judgment module. The threshold judgment module is used to identify the equipment that needs to be replaced and perform replacement priority sorting. The reminder module is used to actively notify the management personnel of the equipment that is about to be replaced so that timely measures can be taken;

[0009] The intelligent matching module includes a weight adjustment module and a recommendation indication module. Both the recommendation indication module and the weight adjustment module are electrically connected to the damage degree analysis module and the usage preference statistics module. The weight adjustment module is used to adjust the priority of the damage degree and preference in the selection weight according to the characteristics of the user. The recommendation indication module is used to indicate specific sports equipment to the user.

[0010] According to the above technical solution, the following working steps are included:

[0011] S1. Use the equipment scanning unit and equipment marking module to scan and mark the barcodes of all sports equipment to ensure that each sports equipment has a unique identification;

[0012] S2. When a user needs to borrow sports equipment, the user will confirm his / her identity through the user login module, and the borrowing record module will record the borrowing time, user information and corresponding sports equipment barcode;

[0013] S3. When returning sports equipment, the user uses the equipment scanning unit to scan the barcode of the sports equipment again, and the return recording module records the return time and return location of the sports equipment, and counts the number of times the equipment has been borrowed and the usage time;

[0014] S4, the report analysis module uses the borrowing and returning data to evaluate the damage of sports equipment through the damage degree analysis module, and analyzes the user's usage habits through the usage preference statistics module to prioritize the sports equipment that needs to be replaced. The weight adjustment module adjusts the weight of the damage degree and usage preference according to the characteristics of the user;

[0015] S5. Provide clear sports equipment recommendations to users through the recommendation indication module, indicate the location of the recommended sports equipment, and actively notify management personnel of sports equipment that is about to be replaced.

[0016] According to the above technical solution, in S3, the specific method for counting the number of lending times and usage time is:

[0017] S3-1. When the gymnasium opens, the number of people n who use the user login module to borrow sports equipment on that day is counted, and the number of people n who borrow sports equipment within M days is continuously collected to form a set {n1, n2...n M}, average the number of people n who borrowed sports equipment within M days to get the average total number Where i is the day number;

[0018] S3-2. Count the number of times a piece of sports equipment is borrowed in M ​​days. The number of times a piece of sports equipment is borrowed each day is a. i , the total number of loans is

[0019] S3-3. Set the shortest usage time threshold as t0. If the user uses the item for less than t0, it will not be included in the statistics. The number of times the item is borrowed within M days is x, and the time of each borrowing is t. x , the average time a certain sports equipment is used each time within M days

[0020] According to the above technical solution, in S4, the method for evaluating the damage of sports equipment is:

[0021] S4-1. If a piece of sports equipment is borrowed by different users for k consecutive times and the usage time is less than t0, the equipment is marked as damaged equipment, and k is the set damage coefficient;

[0022] S4-2. Calculate the selection index of a certain sports equipment within M days Where a is the weight coefficient of the number of users, β is the weight coefficient of the usage time, the larger the W is, the more people choose it and the longer it is used, and the better the condition of the sports equipment is. In the early stage of the sports equipment being put into use, Minimum, as the time of sports equipment use increases Linear growth, because in the early stage of use, due to the small number of people choosing, there is a lot of luck and uncertainty in the selection, thus reducing its weight. The use time can more accurately indicate whether the equipment is damaged. In the later stage of sports equipment use, the number of people choosing is large, and it can be analyzed from the overall number of users to determine how many people think that the current sports equipment is damaged to the point where it cannot be used. The analysis is more in line with the usage rules;

[0023] S4-3. Set the damage threshold to W0. When W<W0, the sports equipment is damaged and needs to be replaced.

[0024] According to the above technical solution, in S4, the specific method of analyzing the user's usage habits is:

[0025] S4-3. When purchasing sports equipment and storing it in the warehouse, a rough classification label is established for each sports equipment. The rough classification label includes the brand and model of the sports equipment and is manually input by the management personnel;

[0026] S4-4. Count the total time T that each user uses each brand and model of sports equipment, as well as the total time {T1, T2...T y}, where y is the brand model number of the sports equipment, and the preference index of the user for a certain brand model of sports equipment is calculated. And calculate each T y The variance of .

[0027] According to the above technical solution, in S4, the specific method of sorting the priorities is:

[0028] S4-5. After the statistics are completed within M days, sports equipment is recommended to the user. When the user logs in to the system to select sports equipment, the preference index G and selection index W of each sports equipment in the current user are calculated, and the recommendation index D = μW + γG is obtained. Sports equipment with a large D value is recommended to the user first, where μ is the selection index weight coefficient and γ is the preference index weight coefficient. The size of each T yThe variance is inversely proportional to T y The larger the variance is, the more users value the brand and model of the equipment, and the greater the proportion of G is.

[0029] According to the above technical solution, in S5, after actively notifying the management personnel of the sports equipment that is about to be replaced, the sports equipment that needs to be replaced is manually replaced with a sports equipment of the same brand and model, and the usage of this sports equipment within M days is counted. The replaced sports equipment initially has an average-sized recommendation index D.

[0030] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by marking sports equipment and analyzing the borrowing and returning data of the sports equipment, determines whether the sports equipment has reached the degree of damage requiring replacement through big data, and records the usage preferences of each user, recommends relatively suitable sports equipment to the user, thereby saving the user's selection time and making the judgment more objective. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0032] Figure 1 It is a schematic diagram of the overall module structure of the present invention. DETAILED DESCRIPTION

[0033] 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.

[0034] See also Figure 1 The present invention provides a technical solution: a report analysis method based on intelligent identification, the analysis method adopts a report analysis system to work, the report analysis system includes a data acquisition module, a report analysis module, a replacement reminder module, and an intelligent matching module, the data acquisition module is used to mark sports equipment and collect borrowing and returning data, the report analysis module is used to analyze the degree of damage of sports equipment according to the borrowing and returning data, and to count the usage preferences of each user, the replacement reminder module is used to determine the sports equipment that needs to be replaced after big data analysis, and remind the management personnel, and the intelligent matching module is used to recommend to the user in combination with the degree of damage and usage preference of the equipment;

[0035] The data acquisition module includes an equipment marking module, a lending record module, a return record module, a user login module, an equipment scanning unit, and a position tracking unit. The position tracking unit is electrically connected to the equipment scanning unit, the equipment scanning unit is electrically connected to the equipment marking module, the equipment marking module is electrically connected to the lending record module and the return record module, the user login module is electrically connected to the lending record module, the equipment marking submodule is used to scan the barcode of the sports equipment to uniquely identify the sports equipment, the lending record module is used to record the lending time and user information of the equipment, the return record module is used to record the return location and use time of the sports equipment, the user login module is used for the user to log in when entering the sports equipment lending place to facilitate identity confirmation, the equipment scanning unit is used to perform the function of scanning the equipment barcode, and the position tracking unit is used to identify the current sports equipment by using image recognition, and track and record the placement location of the currently returned equipment;

[0036] The report analysis module includes a damage degree analysis module, a usage preference statistics module, and a database. The database is electrically connected to the damage degree analysis module and the usage preference statistics module. The damage degree analysis module is electrically connected to the return record module. The damage degree analysis module is used to evaluate the damage of sports equipment according to the data of borrowing and returning, and provide a reference for repair and replacement. The usage preference statistics module is used to analyze the usage habits and preferences of different users for sports equipment, and help managers understand usage trends. The database is used to classify and store data of various sports equipment and users;

[0037] The replacement reminder module includes a threshold judgment module and a reminder module. The threshold judgment module is electrically connected to the damage degree analysis module, and the reminder module is electrically connected to the threshold judgment module. The threshold judgment module is used to identify the equipment that needs to be replaced and sort the replacement priority. The reminder module is used to actively notify the management personnel of the equipment that is about to be replaced so that timely measures can be taken;

[0038] The intelligent matching module includes a weight adjustment module and a recommendation indication module. Both the recommendation indication module and the weight adjustment module are electrically connected to the damage degree analysis module and the usage preference statistics module. The weight adjustment module is used to adjust the priority of the damage degree and the preference according to the characteristics of the user. The recommendation indication module is used to indicate specific sports equipment to the user.

[0039] The following steps are included:

[0040] S1. Use the equipment scanning unit and equipment marking module to scan and mark the barcodes of all sports equipment to ensure that each sports equipment has a unique identification;

[0041] S2. When a user needs to borrow sports equipment, the user will confirm his / her identity through the user login module, and the borrowing record module will record the borrowing time, user information and corresponding sports equipment barcode;

[0042] S3. When returning sports equipment, the user uses the equipment scanning unit to scan the barcode of the sports equipment again, and the return recording module records the return time and return location of the sports equipment, and counts the number of times the equipment has been borrowed and the usage time;

[0043] S4, the report analysis module uses the borrowing and returning data to evaluate the damage of sports equipment through the damage degree analysis module, and analyzes the user's usage habits through the usage preference statistics module to prioritize the sports equipment that needs to be replaced. The weight adjustment module adjusts the weight of the damage degree and usage preference according to the characteristics of the user;

[0044] S5. Provide clear sports equipment recommendations to users through the recommendation indication module, indicate the location of the recommended sports equipment, and proactively notify management personnel of sports equipment that is about to be replaced;

[0045] In S3, the specific method for counting the number of loans and usage time is as follows:

[0046] S3-1. When the gymnasium opens, the number of people n who use the user login module to borrow sports equipment on that day is counted, and the number of people n who borrow sports equipment within M days is continuously collected to form a set {n1, n2...n M}, average the number of people n who borrowed sports equipment within M days to get the average total number Where i is the day number;

[0047] S3-2. Count the number of times a piece of sports equipment is borrowed in M ​​days. The number of times a piece of sports equipment is borrowed each day is a. i , the total number of loans is

[0048] S3-3. Set the shortest usage time threshold as t0. If the user uses the item for less than t0, it will not be included in the statistics. The number of times the item is borrowed within M days is x, and the time of each borrowing is t. x , the average time a certain sports equipment is used each time within M days

[0049] In S4, the method for assessing the damage of sports equipment is:

[0050] S4-1. If a piece of sports equipment is borrowed by different users for k consecutive times and the usage time is less than t0, the equipment is marked as damaged equipment, and k is the set damage coefficient;

[0051] S4-2. Calculate the selection index of a certain sports equipment within M days Among them, α is the weight coefficient of the number of users, and β is the weight coefficient of the usage time. The larger the W is, the more people choose it and the longer it is used, and the better the condition of this sports equipment is. In the early stage of sports equipment being put into use, Minimum, as the time of sports equipment use increases Linear growth, because in the early stage of use, due to the small number of people choosing, there is a lot of luck and uncertainty in the selection, thus reducing its weight. The use time can more accurately indicate whether the equipment is damaged. In the later stage of sports equipment use, the number of people choosing is large, and it can be analyzed from the overall number of users to determine how many people think that the current sports equipment is damaged to the point where it cannot be used. The analysis is more in line with the usage rules;

[0052] S4-3, setting the damage threshold to W0, when W<W0, the sports equipment is damaged and needs to be replaced;

[0053] In S4, the specific method for analyzing the user's usage habits is:

[0054] S4-3. When purchasing sports equipment and storing it in the warehouse, a rough classification label is established for each sports equipment. The rough classification label includes the brand and model of the sports equipment and is manually input by the management personnel;

[0055] S4-4. Count the total time T that each user uses each brand and model of sports equipment, as well as the total time {T1, T2...T y}, where y is the brand model number of the sports equipment, and the preference index of the user for a certain brand model of sports equipment is calculated. And calculate each T y The variance of

[0056] In S4, the specific method of sorting priorities is:

[0057] S4-5. After the statistics are completed within M days, sports equipment is recommended to the user. When the user logs in to the system to select sports equipment, the preference index G and selection index W of each sports equipment in the current user are calculated, and the recommendation index D = μW + γG is obtained. Sports equipment with a large D value is recommended to the user first, where μ is the selection index weight coefficient and γ is the preference index weight coefficient. The size of each T y The variance is inversely proportional to T y The larger the variance is, the more users value the brand and model of the equipment, and the greater the proportion of G is;

[0058] In S5, after proactively notifying the management personnel of the sports equipment that is about to be replaced, the sports equipment that needs to be replaced is manually replaced with a sports equipment of the same brand and model, and the usage of this sports equipment within M days is counted. The replaced sports equipment initially has an average-sized recommendation index D.

[0059] By marking sports equipment and analyzing the borrowing and returning data, we can use big data to determine whether the sports equipment has been damaged enough to need replacement. We can also record the usage preferences of each user and recommend relatively suitable sports equipment to the user, saving the user's selection time and making the judgment more objective.

[0060] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0061] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A report analysis method based on intelligent recognition, characterized in that: The analysis method adopts a report analysis system to work, and the report analysis system includes a data collection module, a report analysis module, a replacement reminder module, and an intelligent matching module. The data collection module is used to mark the sports equipment and collect the borrowing and returning data. The report analysis module is used to analyze the degree of damage of the sports equipment according to the borrowing and returning data, and to collect statistics on the usage preferences of each user. The replacement reminder module is used to determine the sports equipment that needs to be replaced after big data analysis, and to remind the management personnel. The intelligent matching module is used to make recommendations to users based on the degree of damage and usage preferences of the equipment.

2. The report analysis method based on intelligent recognition according to claim 1, characterized in that: The data acquisition module includes an equipment marking module, a lending record module, a return record module, a user login module, an equipment scanning unit, and a location tracking unit. The location tracking unit is electrically connected to the equipment scanning unit, the equipment scanning unit is electrically connected to the equipment marking module, the equipment marking module is electrically connected to the lending record module and the return record module, the user login module is electrically connected to the lending record module, the equipment marking submodule is used to scan the barcode of the sports equipment to uniquely identify the sports equipment, the lending record module is used to record the lending time and user information of the equipment, the return record module is used to record the return location and use time of the sports equipment, the user login module is used for the user to log in when entering the sports equipment lending place to facilitate identity confirmation, the equipment scanning unit is used to perform the function of scanning the equipment barcode, and the location tracking unit is used to identify the current sports equipment by image recognition, and track and record the placement location of the currently returned equipment; The report analysis module includes a damage degree analysis module, a usage preference statistics module, and a database. The database is electrically connected to the damage degree analysis module and the usage preference statistics module. The damage degree analysis module is electrically connected to the return record module. The damage degree analysis module is used to evaluate the damage of sports equipment according to the data of borrowing and returning, and provide a reference for repair and replacement. The usage preference statistics module is used to analyze the usage habits and preferences of different users for sports equipment, and help managers understand usage trends. The database is used to classify and store data of various sports equipment and users; The replacement reminder module includes a threshold judgment module and a reminder module. The threshold judgment module is electrically connected to the damage degree analysis module, and the reminder module is electrically connected to the threshold judgment module. The threshold judgment module is used to identify the equipment that needs to be replaced and perform replacement priority sorting. The reminder module is used to actively notify the management personnel of the equipment that is about to be replaced so that timely measures can be taken; The intelligent matching module includes a weight adjustment module and a recommendation indication module. Both the recommendation indication module and the weight adjustment module are electrically connected to the damage degree analysis module and the usage preference statistics module. The weight adjustment module is used to adjust the priority of the damage degree and preference in the selection weight according to the characteristics of the user. The recommendation indication module is used to indicate specific sports equipment to the user.

3. The report analysis method based on intelligent recognition according to claim 2 is characterized in that: The following steps are included: S1. Use the equipment scanning unit and equipment marking module to scan and mark the barcodes of all sports equipment to ensure that each sports equipment has a unique identification; S2. When a user needs to borrow sports equipment, the user will confirm his / her identity through the user login module, and the borrowing record module will record the borrowing time, user information and corresponding sports equipment barcode; S3. When returning sports equipment, the user uses the equipment scanning unit to scan the barcode of the sports equipment again, and the return recording module records the return time and return location of the sports equipment, and counts the number of times the equipment has been borrowed and the usage time; S4, the report analysis module uses the borrowing and returning data to evaluate the damage of sports equipment through the damage degree analysis module, and analyzes the user's usage habits through the usage preference statistics module to prioritize the sports equipment that needs to be replaced. The weight adjustment module adjusts the weight of the damage degree and usage preference according to the characteristics of the user; S5. Provide clear sports equipment recommendations to users through the recommendation indication module, indicate the location of the recommended sports equipment, and actively notify management personnel of sports equipment that is about to be replaced.

4. The report analysis method based on intelligent recognition according to claim 3 is characterized in that: In S3, the specific method for counting the number of lending times and usage time is: S3-1. When the gymnasium opens, the number of people n who use the user login module to borrow sports equipment on that day is counted, and the number of people n who borrow sports equipment within M days is continuously collected to form a set {n1, n2...n M }, average the number of people n who borrowed sports equipment within M days to get the average total number Where i is the day number; S3-2. Count the number of times a piece of sports equipment is borrowed in M ​​days. The number of times a piece of sports equipment is borrowed each day is a. i , the total number of loans is S3-3. Set the shortest usage time threshold as t0. If the user uses the item for less than t0, it will not be included in the statistics. The number of times the item is borrowed within M days is x, and the time of each borrowing is t. x , the average time a certain sports equipment is used each time within M days 5. The report analysis method based on intelligent recognition according to claim 4 is characterized in that: In S4, the method for assessing the damage of sports equipment is: S4-1. If a piece of sports equipment is borrowed by different users for k consecutive times and the usage time is less than t0, the equipment is marked as damaged equipment, and k is the set damage coefficient; S4-2. Calculate the selection index of a certain sports equipment within M days Among them, α is the weight coefficient of the number of users, and β is the weight coefficient of the usage time. The larger the W is, the more people choose it and the longer it is used, and the better the condition of this sports equipment is. In the early stage of sports equipment being put into use, Minimum, as the time of sports equipment use increases Linear growth; S4-3. Set the damage threshold to W0. When W<W0, the sports equipment is damaged and needs to be replaced.

6. The report analysis method based on intelligent recognition according to claim 5 is characterized in that: In S4, the specific method of analyzing the user's usage habits is: S4-3. When purchasing sports equipment and storing it in the warehouse, a rough classification label is established for each sports equipment. The rough classification label includes the brand and model of the sports equipment and is manually input by the management personnel; S4-4. Count the total time T that each user uses each brand and model of sports equipment, as well as the total time {T1, T2...T y }, where y is the brand model number of the sports equipment, and the preference index of the user for a certain brand model of sports equipment is calculated. And calculate each T y The variance of .

7. The report analysis method based on intelligent recognition according to claim 6 is characterized in that: In S4, the specific method of sorting the priorities is: S4-5. After the statistics are completed within M days, sports equipment is recommended to the user. When the user logs in to the system to select sports equipment, the preference index G and selection index W of each sports equipment in the current user are calculated, and the recommendation index D = μW + γG is obtained. Sports equipment with a large D value is recommended to the user first, where μ is the selection index weight coefficient and γ is the preference index weight coefficient. The size of each T y The variance is inversely proportional to T y The larger the variance is, the more users value the brand and model of the equipment, and the greater the proportion of G is.

8. The report analysis method based on intelligent recognition according to claim 7 is characterized in that: In S5, after actively notifying the management personnel of the sports equipment that is about to be replaced, the sports equipment that needs to be replaced is manually replaced with a sports equipment of the same brand and model, and the usage of this sports equipment within M days is counted. The replaced sports equipment initially has an average-sized recommendation index D.

Images