Management system of intelligent archive file management cabinet based on Internet of Things

Abstract

The invention discloses a management system of an intelligent archive file management cabinet based on the Internet of Things, and the system comprises an archive bag management module which is used for obtaining all to-be-stored archive bags, obtaining the weight coefficients of the archive bags according to the importance degree and the use frequency of the archive bags, and dividing the types of the archive bags according to the weight coefficients; a file management cabinet relates to the technical field of file management, and maximally improves the space utilization rate of the file management cabinet, reduces the space waste and makes the storage layout of files more reasonable and orderly on the premise of meeting the storage requirements of the files, facilitating the access operation of the files and ensuring the safety and integrity of the files. The problems of low space utilization rate and unreasonable storage in traditional archive management can be effectively solved, higher efficiency and better management effect are brought to archive management work, and the archive management system has remarkable actual value and market competitiveness.

Description

Technical Field

[0001] The present invention belongs to the technical field of file management, and in particular is a management system of an intelligent archive file management cabinet based on the Internet of Things. Background Art

[0002] The smart archive file management cabinet is an intelligent device that integrates advanced information technology with traditional archive management needs.

[0003] In traditional file management, the file bags containing archive documents are usually placed randomly in the file management cabinet with fixed compartments, without fully considering the size, importance and frequency of use of the file bags, resulting in low space utilization, difficulty in finding files, and prone to problems such as chaotic storage and damage. With the continuous increase in the number of files, higher requirements are placed on the space utilization and storage rationality of file management cabinets. Although there are some file management equipment, there are still obvious deficiencies in the intelligent optimization of compartment layout, which is difficult to meet the needs of modern efficient file management.

[0004] In order to solve the above problems, the present invention proposes a solution. Summary of the invention

[0005] The present invention aims to solve the problems raised in the above background technology; to this end, the present invention proposes a management system for an intelligent archive file management cabinet based on the Internet of Things, comprising: The file bag management module is used to obtain all the file bags to be stored, obtain the weight coefficient of the file bag according to the two factors of the importance and frequency of use of the file bag, and classify the file bags according to the weight coefficient; The cabinet information management module is used to obtain the design drawings of the file management cabinet and divide the central area of ​​the cabinet according to the size information marked on the design drawings; The interlayer allocation module is used to receive the design drawings of the file management cabinet, and mark the length value of the interlayer obtained as the capacity value, select a category of file bags, calculate the total thickness value of all file bags in the category, obtain the number of interlayers with the smallest difference between the capacity value and the thickness value, and mark these interlayers as candidate interlayers. According to the distribution of the candidate interlayers in the central area, select the appropriate candidate interlayer to place the file bags; In the event that a single compartment is insufficient to accommodate all the portfolio bags in a category, the portfolio bags are placed by merging the compartments until all the portfolio bags are assigned to the appropriate compartment positions.

[0006] Preferably, it also includes a marking unit for marking the surface of file bags of the same category with the same color, and the colors on the top of file bags of different categories are different.

[0007] Preferably, a monitoring unit is also included, by installing a camera and a color sensor on the side of each compartment, and each color sensor stores the corresponding correct color information, and the color sensor and the image recognition system work together to determine whether the file bag is placed incorrectly in the compartment.

[0008] Preferably, the central area in the cabinet information management module is specifically divided as follows: Get the midpoints of the top and bottom of the cabinet from the front of the file management cabinet, connect the two midpoints with a straight line to get a reference line, measure the length of the reference line with a measuring tool, and mark a reference point at 1 / 3 and 2 / 3 of the reference line according to the length value, draw an auxiliary line perpendicular to the reference line on the reference point, and then get two auxiliary lines, extend the auxiliary line infinitely, get the points where the auxiliary line intersects with the two sides of the cabinet and mark them as intersection points, and mark the rectangular area obtained by connecting the four intersection points with a straight line as the initial division area; The partitions in the cabinet that are distributed in the initial division area and on the contour line are marked as partitions to be divided, and f partitions to be divided are obtained. Taking one of the partitions to be divided as an example, the total area of ​​the partition to be divided is pre-calculated and marked as MJ1, and the area of ​​the part of the partition to be divided in the initial division area is calculated and marked as MJ2. When MJ2 ≥ 2 / 3MJ1, the partition to be divided is included in the initial division area; The same process is performed on the remaining partitions to be divided until all the partitions to be divided that meet the condition of MJ2≥2 / 3MJ1 are included in the initial division area, and the area surrounded by these partitions to be divided is marked as the central area.

[0009] Preferably, the specific allocation method in the interlayer allocation module is: Obtain the length value of each compartment in the file management cabinet, recalibrate it to the capacity value R, select the file bag in the L1 category in the list of files to be stored, and calculate the total thickness value ZH of all file bags in this category; If any compartment in the cabinet satisfies the condition of 0≤R-ZH, then the compartment with the smallest difference is obtained among the compartments that meet the condition, and it is marked as a candidate compartment, and the number of candidate compartments BX is obtained; When BX=1, the alternative compartment is selected as the placement location for the file bag in the L1 category; When BX>1, check in advance whether there is an alternative compartment in the central area. If there is only one alternative compartment in the central area, then directly place the file bag in the L1 category inside the alternative compartment; If the candidate partitions are distributed outside the central area, the center point is calculated according to the size information of the candidate partitions, the shortest distance between the center point and the contour line of the central area is obtained, and it is recalibrated as the interval distance, and the candidate partition corresponding to the minimum interval distance is obtained, and the candidate partition is used as the placement position of the file bag; If the number of placement groups exceeds one, the straight line length between the center points of the two compartments in each placement group is calculated respectively, and the placement group corresponding to the shortest straight line length is selected as the placement position of the file bags in the L1 category. Then, the number of file bags in the L1 category is divided and placed in the placement groups, and it is ensured that one of the compartments in the placement group is fully filled.

[0010] Preferably, when the cumulative value Lj of any two partitions in the cabinet is less than the total thickness value ZH of the file bag, any h partitions in the cabinet are obtained and the same operation is performed in the above manner, and each partition is ensured to be maximized, where h≥3.

[0011] Preferably, the specific evaluation method of the weight value in the portfolio management module is: All the archive bags to be stored are obtained, and personnel divide the archive bags into three levels of high importance, medium importance and general importance according to the importance of the archive files. Different weight values ​​are assigned to the archive bags of high importance, medium importance and general importance in order from high to low.

[0012] Preferably, the specific evaluation method of the inclusion value in the portfolio management module is: Obtain the number of times CS that relevant personnel consult the file bag in r collection cycles, obtain r number values, mark them as CSr, r=1, 2, ..., r, where the collection cycle is a preset value, and then calculate the average value P of the number of times CS that the file bag is consulted in r collection cycles; If P ≥ W, the usage frequency of the file bag is judged to be high frequency; If F<P<W, the usage frequency of the file bag is judged to be medium frequency; If P≤F, the usage frequency of the file bag is judged to be low frequency, where W and F are preset values. Different inclusion values ​​are assigned to high-frequency, medium-frequency and low-frequency file bags in order from high to low.

[0013] Preferably, the specific processing method of the weight coefficient in the file bag management module is: Add the weight value and inclusion value corresponding to each file bag, and calculate the weight coefficient Zi of the file bag. Get the weight coefficient Zi of each file bag, i=1, 2, ..., n, and divide the weight coefficient of the file bag into c categories in order from high to low, marked as Lc, c=1, 2, ..., c, and then count the number of file bags in each category respectively.

[0014] Compared with the prior art, the present invention has the following beneficial effects: Under the premise of meeting the storage needs of archives, facilitating the storage and access of archives, and ensuring the safety and integrity of archives, the space utilization rate of archive management cabinets is maximized, space waste is reduced, and the storage layout of archives is made more reasonable and orderly; It can effectively solve the problems of low space utilization and unreasonable storage in traditional archive management, bring higher efficiency and better management effect to archive management, and has significant practical value and market competitiveness; By marking different colors on the surface of different types of file bags, it is possible to quickly identify the color marks on the surface of the file bags when placing them, and determine whether the file bags are placed incorrectly, and then give timely reminders when they are placed incorrectly, creating good conditions for the correct placement of the file bags. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the principle framework of the present invention; Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0016] The technical scheme of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0017] Embodiment 1 See also Figure 1 , 2 ,This application provides a management system for an intelligent archive document management cabinet based on the Internet of Things, including; The file bag management module obtains all the file bags to be stored, in which the file bags store archival documents. The image scanning equipment is used in advance to collect images of the file bags. The thickness value of each file bag is automatically identified and stored through image recognition technology. The personnel divide the file bags into three levels of high importance, medium importance and general importance according to the importance of the archival documents. Different weight values ​​are assigned to the highly important, medium important and general important file bags in order from high to low. Then, for the file bags of different levels, the use frequency of the file bags is obtained according to the number of previous references, where the number of references refers to the cumulative number of times the archival documents in the file bag are viewed. The specific evaluation method for the use frequency is as follows: Obtain the number of times CS that relevant personnel consult the file bag in r collection cycles, obtain r number values, mark them as CSr, r=1, 2, ..., r, where the collection cycle is a preset value, and then calculate the average value P of the number of times CS that the file bag is consulted in r collection cycles; If P ≥ W, the usage frequency of the file bag is judged to be high frequency; If F<P<W, the usage frequency of the file bag is judged to be medium frequency; If P≤F, the use frequency of the file bag is judged to be low frequency, where W and F are preset values, and different inclusion values ​​are assigned to high-frequency, medium-frequency and low-frequency file bags in order from high to low; The weight value and inclusion value corresponding to each file bag are added together, and the weight coefficient Zi of the file bag is obtained by calculation, and the weight coefficient Zi of each file bag is obtained, i=1, 2, ..., n, and the weight coefficient of the file bag is divided into c categories in order from high to low, marked as Lc, c=1, 2, ..., c, and then the number of file bags in each category is counted respectively. In this embodiment, c is 9; Arrange the file bags under the corresponding categories and put them into the list of files to be stored, waiting for the subsequent allocation and placement of the file bags inside the file management cabinet; The cabinet information management module obtains the design drawings of the file management cabinet, where the design drawings are marked with the size information of the cabinet and the internal compartments. In this embodiment, the file bags are placed vertically inside the compartments, and the height and length of the file bags are adapted to the size of the compartments. Then, the central area of ​​the file management cabinet is divided according to the size information. The specific division method is as follows: Get the midpoints of the top and bottom of the cabinet from the front of the file management cabinet, connect the two midpoints with a straight line to get a reference line, measure the length of the reference line with a measuring tool, and mark a reference point at 1 / 3 and 2 / 3 of the reference line according to the length value, draw an auxiliary line perpendicular to the reference line on the reference point, and then get two auxiliary lines, extend the auxiliary line infinitely, get the points where the auxiliary line intersects with the two sides of the cabinet and mark them as intersection points, and mark the rectangular area obtained by connecting the four intersection points with a straight line as the initial division area; The partitions in the cabinet that are distributed in the initial division area and on the contour line are marked as partitions to be divided, and f partitions to be divided are obtained. Taking one of the partitions to be divided as an example, the total area of ​​the partition to be divided is pre-calculated and marked as MJ1, and the area of ​​the part of the partition to be divided in the initial division area is calculated and marked as MJ2. When MJ2 ≥ 2 / 3MJ1, the partition to be divided is included in the initial division area; The same process is performed on the remaining partitions to be divided until all the partitions to be divided that meet the condition of MJ2≥2 / 3MJ1 are included in the initial division area, and the area surrounded by these partitions to be divided is marked as the central area; The compartment allocation module receives the design drawings of the file management cabinet, obtains the length value of each compartment in the file management cabinet, recalibrates it to the capacity value R, and calculates the total thickness value ZH of all the file bags in the L1 category in the list of files to be stored; If any compartment in the cabinet satisfies the condition of 0≤R-ZH, then the compartment with the smallest difference is obtained among the compartments that meet the condition, and it is marked as a candidate compartment, and the number of candidate compartments BX is obtained; When BX=1, the alternative compartment is selected as the placement location for the file bag in the L1 category; When BX>1, first check whether there is an alternative compartment in the central area. If there is only one alternative compartment in the central area, then directly place the L1 category file bag inside the alternative compartment; If the candidate partitions are distributed outside the central area, the center point is calculated according to the size information of the candidate partitions, the shortest distance between the center point and the contour line of the central area is obtained, and it is recalibrated as the interval distance, and the candidate partition corresponding to the minimum interval distance is obtained, and the candidate partition is used as the placement position of the file bag; If there are more than one alternative compartments in the central area, then the corresponding alternative compartments are selected from left to right in the central area as the placement locations for all the file bags in the L1 category; If the compartments in the cabinet do not meet the condition of 0≤R-ZH, then obtain the capacity values ​​R of any two compartments in the cabinet, add them up to get a cumulative value, mark it as Lj, and then under the condition of 0≤Lj-ZH, obtain the two compartments corresponding to the minimum difference, mark these two compartments as a placement group, and obtain the number of placement groups in the cabinet that meet the condition of 0≤Lj-ZH. When the number of placement groups is only one, select the placement group as the placement position of the file bag in the L1 category; If the number of placement groups exceeds one, the length of the straight line between the center points of the two compartments in each placement group is calculated respectively, and the placement group corresponding to the shortest straight line length is selected as the placement position of the file bags in the L1 category, and then the number of file bags in the L1 category is divided and placed in the placement groups, and one of the compartments in the placement group is ensured to be fully filled; When the cumulative value Lj of any two compartments in the cabinet is less than the total thickness ZH of the archive bag, any h compartments in the cabinet are obtained and the same operation is performed in the above manner, and each compartment is ensured to be maximized, where h≥3; Repeat the above process for the remaining categories of file bags until all categories of file bags are assigned to appropriate compartment positions.

[0018] Embodiment 2 Based on Example 2, please refer to Figure 1 and Figure 2 , the specific improvements are as follows: Marking unit: the same color marking is applied to the surface of the same category of file bags, and the colors on the top of the file bags of different categories are different; The monitoring unit installs cameras and color sensors on the side of each compartment, and inputs the corresponding correct color information into each color sensor in advance and stores it. When the file bag is placed in the compartment, the color sensor and image recognition system work together to determine whether the file bag is placed correctly. If not, the system can remind the staff through voice prompts, such as "The file bag is placed incorrectly, please check" or send an error message to the management terminal.

[0019] Embodiment 3 Please refer to Figure 1 to Figure 2 As shown, this embodiment is obtained by combining embodiment 1 and embodiment 2.

[0020] Some of the data in the above formulas are dimensionless for numerical calculations, and the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0021] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The management system of the intelligent archive file management cabinet based on the Internet of Things is characterized by: include: The file bag management module is used to obtain all the file bags to be stored, obtain the weight coefficient of the file bag according to the two factors of the importance and frequency of use of the file bag, and classify the file bags according to the weight coefficient; The cabinet information management module is used to obtain the design drawings of the file management cabinet and divide the central area of ​​the cabinet according to the size information marked on the design drawings; The interlayer allocation module is used to receive the design drawings of the file management cabinet, and mark the length value of the interlayer obtained as the capacity value, select a category of file bags, calculate the total thickness value of all file bags in the category, obtain the number of interlayers with the smallest difference between the capacity value and the thickness value, and mark these interlayers as candidate interlayers. According to the distribution of the candidate interlayers in the central area, select the appropriate candidate interlayer to place the file bags; In the event that a single compartment is insufficient to accommodate all the portfolio bags in a category, the portfolio bags are placed by merging the compartments until all the portfolio bags are assigned to the appropriate compartment positions.

2. According to the management system of the intelligent archive document management cabinet based on the Internet of Things in claim 1, it is characterized in that: It also includes a marking unit, which is used to mark the surface of the file bags of the same category with the same color. For the file bags of different categories, the colors on them are different.

3. The management system of the intelligent archive document management cabinet based on the Internet of Things according to claim 1 is characterized in that: It also includes a monitoring unit, which installs a camera and a color sensor on the side of each compartment. Each color sensor stores the corresponding correct color information. The color sensor and the image recognition system work together to determine whether the file bag is placed incorrectly in the compartment.

4. The management system of the intelligent archive document management cabinet based on the Internet of Things according to claim 1 is characterized in that: The specific division method of the central area in the cabinet information management module is as follows: Get the midpoints of the top and bottom of the cabinet from the front of the file management cabinet, connect the two midpoints with a straight line to get a reference line, measure the length of the reference line with a measuring tool, and mark a reference point at 1 / 3 and 2 / 3 of the reference line according to the length value, draw an auxiliary line perpendicular to the reference line on the reference point, and then get two auxiliary lines, extend the auxiliary line infinitely, get the points where the auxiliary line intersects with the two sides of the cabinet and mark them as intersection points, and mark the rectangular area obtained by connecting the four intersection points with a straight line as the initial division area; The partitions in the cabinet that are distributed in the initial division area and on the contour line are marked as partitions to be divided, and f partitions to be divided are obtained. Taking one of the partitions to be divided as an example, the total area of ​​the partition to be divided is pre-calculated and marked as MJ1, and the area of ​​the part of the partition to be divided in the initial division area is calculated and marked as MJ2. When MJ2 ≥ 2 / 3MJ1, the partition to be divided is included in the initial division area; The same process is performed on the remaining partitions to be divided until all the partitions to be divided that meet the condition of MJ2≥2 / 3MJ1 are included in the initial division area, and the area surrounded by these partitions to be divided is marked as the central area.

5. The management system of the intelligent archive document management cabinet based on the Internet of Things according to claim 1 is characterized in that: The specific allocation method in the interlayer allocation module is: Obtain the length value of each compartment in the file management cabinet, recalibrate it to the capacity value R, select the file bag in the L1 category in the list of files to be stored, and calculate the total thickness value ZH of all file bags in this category; If any compartment in the cabinet satisfies the condition of 0≤R-ZH, then the compartment with the smallest difference is obtained among the compartments that meet the condition, and it is marked as a candidate compartment, and the number of candidate compartments BX is obtained; When BX=1, the alternative compartment is selected as the placement location for the file bag in the L1 category; When BX>1, check in advance whether there is an alternative compartment in the central area. If there is only one alternative compartment in the central area, then directly place the file bag in the L1 category inside the alternative compartment; If the alternative partitions are distributed outside the central area, the center point is calculated based on the size information of the alternative partitions, the shortest distance between the center point and the contour line of the central area is obtained, and the shortest distance is recalibrated as the interval distance. The alternative partition corresponding to the minimum interval distance is obtained, and the alternative partition is used as the placement position of the file bag.

6. The management system of the intelligent archive document management cabinet based on the Internet of Things according to claim 5 is characterized in that: If there are more than one alternative compartments in the central area, then the corresponding alternative compartments are selected from left to right in the central area as the placement locations for all the file bags in the L1 category; If the compartments in the cabinet do not meet the condition of 0≤R-ZH, then obtain the capacity values ​​R of any two compartments in the cabinet, add them up to get a cumulative value, mark it as Lj, and then under the condition of 0≤Lj-ZH, obtain the two compartments corresponding to the minimum difference, mark these two compartments as a placement group, and obtain the number of placement groups in the cabinet that meet the condition of 0≤Lj-ZH. When the number of placement groups is only one, select the placement group as the placement position of the file bag in the L1 category; If the number of placement groups exceeds one, the straight line length between the center points of the two compartments in each placement group is calculated respectively, and the placement group corresponding to the shortest straight line length is selected as the placement position of the file bags in the L1 category. Then, the number of file bags in the L1 category is divided and placed in the placement groups, and it is ensured that one of the compartments in the placement group is fully filled.

7. The management system of the intelligent archive document management cabinet based on the Internet of Things according to claim 6 is characterized in that: When the cumulative value Lj of any two partitions in the cabinet is less than the total thickness value ZH of the file bag, any h partitions in the cabinet are obtained and the same operation is performed in the above manner, and each partition is ensured to be maximized.

8. The management system of the intelligent archive document management cabinet based on the Internet of Things according to claim 1 is characterized in that: The specific evaluation method of the weight value in the portfolio management module is: All the archive bags to be stored are obtained, and personnel divide the archive bags into three levels of high importance, medium importance and general importance according to the importance of the archive files. Different weight values ​​are assigned to the archive bags of high importance, medium importance and general importance in order from high to low.

9. The management system of the intelligent archive document management cabinet based on the Internet of Things according to claim 8 is characterized in that: The specific evaluation method of the inclusion value in the portfolio management module is: Obtain the number of times CS that relevant personnel consult the file bag in r collection cycles, obtain r number values, mark them as CSr, r=1, 2, ..., r, where the collection cycle is a preset value, and then calculate the average value P of the number of times CS that the file bag is consulted in r collection cycles; If P ≥ W, the usage frequency of the file bag is judged to be high frequency; If F<P<W, the usage frequency of the file bag is judged to be medium frequency; If P≤F, the usage frequency of the file bag is judged to be low frequency, where W and F are preset values. Different inclusion values ​​are assigned to high-frequency, medium-frequency and low-frequency file bags in order from high to low.

10. The management system of the intelligent archive document management cabinet based on the Internet of Things according to claim 9 is characterized in that: The specific processing method of the weight coefficient in the portfolio management module is as follows: Add the weight value and inclusion value corresponding to each file bag, and calculate the weight coefficient Zi of the file bag. Get the weight coefficient Zi of each file bag, i=1, 2, ..., n, and divide the weight coefficient of the file bag into c categories in order from high to low, marked as Lc, c=1, 2, ..., c, and then count the number of file bags in each category respectively.

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