The improvement of museum information flow based on paste functional mapping method

The quadratic programming model of support vector machine (SVM) for fuzzy data location is established by using the singular semi-positive qualitative principle. Assume that the matrix Q is a semi-positive definite matrix, when: (1) α=(α1,α2,...,αn)≠0 \alpha = \left( {{\alpha _1},{\alpha _2},...,{\alpha _n}} \right) \ne 0 The homogeneous solution of the fuzzy data location SVM model satisfies: (2) αTQα=∑i=1n∑j=1nαiαjQij≥0 {\alpha ^T}Q\alpha = \sum\limits_{i = 1}^n \sum\limits_{j = 1}^n {\alpha _i}{\alpha _j}{Q_{ij}} \ge 0 Assuming that there are N samples in the information data set S_s, then: (3) Q'=[0y1⋯yny1Q11⋯Q1n⋮⋮⋱⋮ynQn1⋯Qnn]=def[0yTyQ] {Q'} = \left[ {\matrix{ 0 & {{y_1}} & \cdots & {{y_n}} \cr {{y_1}} & {{Q_{11}}} & \cdots & {{Q_{1n}}} \cr \vdots & \vdots & \ddots & \vdots \cr {{y_n}} & {{Q_{n1}}} & \cdots & {{Q_{nn}}} \cr } } \right]\mathop = \limits^{def} \left[ {\matrix{ 0 & {{y^T}} \cr y & Q \cr } } \right]

According to the above assumptions, the stable periodic point distribution matrix Q is positive definite, and the inverse matrix Q⁻¹ and Q⁻¹ of Q are also positive definite matrices. Due to: (4) [0−yTQ−10In][0yTyQ]=[−yTQ−10yQ] \left[ {\matrix{ 0 & { - {y^T}{Q^{ - 1}}} \cr 0 & {{I_n}} \cr } } \right]\left[ {\matrix{ 0 & {{y^T}} \cr y & Q \cr } } \right] = \left[ {\matrix{ { - {y^T}{Q^{ - 1}}} & 0 \cr y & Q \cr } } \right] It can be obtained that the fuzzy data location of museum information and the paste point set satisfies: (5) det(Q′)=det(Q).(−yTQ−1)≠0 \det \left( {Q'} \right) = \det \left( Q \right).\left( { - {y^T}{Q^{ - 1}}} \right) \ne 0 Thus, it can be proved that Q’ always exists in an inverse matrix, that is, the fuzzy data location is convergent. By extracting the graph model of fuzzy data location, the constraint conditions of fuzzy directivity control are obtained: (6) (D−ωL)x(k+1)=[(1−ω)D+ωU]x(k)+ωb \left( {D - \omega L} \right){x^{\left( {k + 1} \right)}} = \left[ {\left( {1 - \omega } \right)D + \omega U} \right]{x^{\left( k \right)}} + \omega b (7) x(k+1)=(D−ωL)−1[(1−ω)D+ωU]x(k)+ω(D−ωL)−1b {x^{\left( {k + 1} \right)}} = {\left( {D - \omega L} \right)^{ - 1}}\left[ {\left( {1 - \omega } \right)D + \omega U} \right]{x^{\left( k \right)}} + \omega {\left( {D - \omega L} \right)^{ - 1}}b Make (8) {Lω=(D−ωL)−1[(1−ω)D+ωU]fω=(D−ωL)−1b \left\{ {\matrix{ {{L_\omega } = {{\left( {D - \omega L} \right)}^{ - 1}}\left[ {\left( {1 - \omega } \right)D + \omega U} \right]}\cr {{f_\omega } = {{\left( {D - \omega L} \right)}^{ - 1}}b}\cr } } \right. Then the positioning convergence process of test data meets the following requirements: (9) x(k+1)=Lωx(k)+f {x^{\left( {k + 1} \right)}} = {L_\omega }{x^{\left( k \right)}} + f The fitness function is obtained, and the positioning centre is adjusted through the fitness value, then: (10) (xk−α)2≈(xk+1−α)(xk−1−α) {\left( {{x_k} - \alpha } \right)^2} \approx \left( {{x_{k + 1}} - \alpha } \right)\left( {{x_{k - 1}} - \alpha } \right) The clustering centre obtained by the SVM model was taken as the neighborhood data set, the training template set was constructed, and the function was performed by convex combinatorial quadratic programming method: (11) α≈xk+1xk−1−xk2xk−1−2xk+xk+1=xk+1−(xk+1−xk)2xk−1−2xk+xk+1 \alpha \approx {{{x_{k + 1}}{x_{k - 1}} - x_{_k}^2} \over {{x_{k - 1}} - 2{x_k} + {x_{k + 1}}}} = {x_{k + 1}} - {{{{\left( {{x_{k + 1}} - {x_k}} \right)}^2}} \over {{x_{k - 1}} - 2{x_k} + {x_{k + 1}}}} Among them: (12) x¯k=xk+1−(xk+1−xk)2xk−1−2xk+xk+1 {\overline x _{_k}} = {x_{k + 1}} - {{{{\left( {{x_{k + 1}} - {x_k}} \right)}^2}} \over {{x_{k - 1}} - 2{x_k} + {x_{k + 1}}}} The expected output of fuzzy data positioning is as follows: (13) Ei(sj*,(si*)i∈N\{j})=∑j=1m∑k=1lp(xj1)...p(xjw)uki {E_i}\left( {s_j^*,{{\left( {s_i^*} \right)}_{i \in N\backslash \left\{ j \right\}}}} \right) = \sum\limits_{j = 1}^m \sum\limits_{k = 1}^l p\left( {{x_{{j_1}}}} \right)...p\left( {{x_{{j_w}}}} \right){u_{{k_i}}}

The object-oriented software testing process of this system involves three levels of activities: only to ensure the correctness of the interaction between class members and the methods contained in them, can the operation of the whole system be basically guaranteed. In the test of this system.

Specific static testing methods for the cultural heritage management system are as follows: (1)

Record all kinds of environmental data before the test begins;

The more complex and bulky the software, the harder it is to test. In general, there is a common test procedure for large and complex software, as follows: (1)

Send the programme to test;

Log in the system with different identities on the terminal, including ordinary staff and administrators, and conduct a more comprehensive and complete test of the validity and legitimacy of user registration, user grouping and authority identification, catalogue processing, mirror update and data modification by using the black-box test method [8, 9].

Testing of each basic functional module:

Authentication module

(4) Catalogue modification module

Enter 4 significant digits starting from 0001 in the Modified Catalogue Number input field; Add other nonnumeric characters after entering 0001 in the catalogue number input field under revision J:

(5) Data modification management module

Do not enter any content in the fields of entry number, name of cultural relic, style, colour, author, excavation site, etc. Enter any characters in the fields of entry number, cultural relic name, style, colour, author, excavation site, etc. Select different options in the Revamp, Discover, and Release checkboxes.

The handheld device can replace the reader to read the attached electronic tag information of cultural relics, and then synchronise it with the database in the background using the wireless network so that the staff can see the status of cultural relics at any time, and take timely measures in case of problems of cultural relics to ensure the safety of cultural relics to the greatest extent.If the electronic tag with temperature and humidity sensor is attached to the cultural relic, it can sense the temperature and humidity of the surrounding environment no matter where the cultural relic is located. Once the temperature and humidity change causes harm to the cultural relic, the information will be read by the reader, and then the computer will be used to control or remind the relevant personnel, to achieve the purpose of protecting the cultural relic. The staff can see the state of cultural relics at any time and can take timely measures in case of problems of cultural relics to ensure the safety of cultural relics to the greatest extent [10]. The fixed reading and writing function is only applicable to the occasion when the cultural relics are fixed in the museum. Once the cultural relics leave the specific place, how to ensure the safety of the cultural relics is the task of the mobile reading and writing function. Mobile to read and write functions using hand-held mobile tracking of cultural relics, hand-held can substitute for readers to read attached the electronic tag information of cultural relics, and then use the wireless network and the background database synchronisation, staff can always see the status of the cultural relics, the problems of the cultural relics can timely take measures to guarantee the safety of cultural relics.

It is not rigorous and we find it reasonable from the perspective of computer information management, whether from the aspects of information specification and the rationality of project establishment. This card does play a certain role in the whole process of management of cultural relics, and it has been accepted by a lot of managers of cultural relics. Completely abandoning this management mode will cost one dearer, so the best thing to do is to keepthem based on its utility, to adjust its unreasonable place, and finally reach the requirement of information management that is acceptable to the user.

Cultural relics (collections) warehouse management system enables the unit to change the existing outdated paper and card cultural relics information management mode and provide security and confidentiality of the cultural relics information storage, which ill improve the utilisation rate of cultural relics data information. The system is fully combined with the actual situation of the unit, which is flexible and convenient to operate, and greatly reduces the amount of labour of cultural relics (collections) warehouse management personnel. In addition, the system has a powerful statistical retrieval function, providing a variety of classified details and summary query reports to reflect the detailed information of cultural relics, warehousing and warehousing lists, which provides great convenience to the work of cultural relics management departments.

This paper proposes a cultural relic management system based on the functional mapping method and combined with Web Service technology. The paper makes an in-depth study of the framework design and functional design of the system, and the main work is as follows:

The research background and existing problems of the heritage management system are analysed, and the principle and application of the functional mapping method are summarised.

Based on the functional mapping method, I uses the client/Web Service/server three-tier architecture system to realise the framework design of the whole system, with the management authority and cultural relic registration information as the core.

Realise the function module of the system, and test it.

Given the original design goals, it is basically achieved:

The heritage management system based on the functional mapping method is designed by combining the client/server (C/S) structure with the browser/server (B/S) structure.

The system development environment includes development tools, server-side software and client-side software.

Based on demand analysis and system design, this paper realises a cultural relic management system in normal operation. The museum heritage management system based on the functional mapping method designed and implemented in this paper can work normally after testing.

Figure 1 shows the access efficiency when 100 users visit. It can be seen from the figure when the test user fills in the form and submits the data. It takes a lot of system resources and takes a little longer response time, but it is also within the acceptable range.

Fig. 1

As shown in Figure 2, the response time graph of the simulated transaction setting of 100 concurrent users shows that the response time is the longest when the page is submitted for the last time.

Fig. 2

In this test, 100 users were simulated to make concurrent requests to the system, and the average response time of the system was obtained as follows, as shown in Table 1.

In the three input fields of account, password and verification code on the login page, only the correct information can be entered into the system normally, otherwise an error message will be displayed; Reaction time meets the requirements.