Regional public culture resource supply and distribution management system

Abstract

The invention relates to the technical field of regional public culture resource management, and discloses a regional public culture resource supply and distribution management system, which comprises a demand analysis module, a resource supply module, a resource matching module, a distribution management module and a user interaction module. According to the invention, the supply and demand matching degree and the distribution efficiency of regional public culture resources are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of regional public cultural resource management, and specifically to a management system for the supply and distribution of regional public cultural resources. Background Art

[0002] With the development of social economy and the improvement of people's living standards, people's demand for public cultural resources is increasing day by day and showing a diversified trend. However, there are many problems in the current supply and distribution of regional public cultural resources.

[0003] On the one hand, the information asymmetry between cultural resource suppliers and demanders leads to inaccurate resource matching, resulting in waste of some resources and some demands not being met; on the other hand, the lack of an effective management system for overall planning of the supply and distribution of public cultural resources makes the distribution efficiency low and it is difficult to ensure that cultural resources are delivered to demanders in a timely and accurate manner.

[0004] Therefore, it is of great practical significance to develop a management system for the supply and distribution of regional public cultural resources. Summary of the Invention

[0005] (I) Technical Problems to be Solved

[0006] In view of the deficiencies of the prior art, the present application provides a management system for the supply and distribution of regional public cultural resources.

[0007] (II) Technical Solutions

[0008] To solve the above problems, the present application provides the following technical solutions:

[0009] A management system for the supply and distribution of regional public cultural resources, comprising:

[0010] A demand analysis module, configured to collect service demand information of demanders for public culture within a target area, and analyze the service culture information to identify the cultural demand preferences and trends of demanders;

[0011] A resource supply module, integrating various public cultural resource suppliers and establishing a supplier database;

[0012] A resource matching module, according to the analysis results of the demand analysis module and the resource status of the resource supply module, improving the matching degree between demanders and suppliers through an intelligent matching model, and formulating a distribution plan;

[0013] A distribution management module, configured to formulate a distribution plan and plan a distribution route; the distribution management module formulates an optimal distribution plan according to order information and a delivery address, real-time tracks the distribution progress, and timely feeds back distribution information to demanders and managers;

[0014] A user interaction module for providing a convenient and fast interaction interface for demanders, suppliers and managers; the user interaction module is provided with a personalized recommendation page;

[0015] The signal output end of the demand analysis module is connected to the signal input end of the resource matching module, the signal output end of the resource supply module is connected to the signal input end of the resource matching module, and the signal output end of the resource matching module is connected to the signal input end of the distribution management module.

[0016] Preferably, the demand analysis module includes an information collection unit, an information preprocessing unit, a demand recognition unit and a demand output unit; the information collection unit collects the demand information of the demander through online data and offline questionnaires; the information preprocessing unit cleans, standardizes and extracts features from the collected data; the demand recognition module classifies the preprocessed data through an improved clustering model; the signal output end of the information collection unit is connected to the signal input end of the information preprocessing unit, the signal output end of the information preprocessing unit is connected to the signal input end of the demand recognition unit, and the signal output end of the demand recognition unit is connected to the signal input end of the demand recognition unit.

[0017] Preferably, the information collection unit includes collecting basic information, information related to participating in public cultural activities and historical data information; the basic information includes at least the age, gender, occupation, residential address, educational background and interest field of the demander; the information related to participating in public cultural activities includes at least the frequency of the demander participating in activities, the free time period of the demander, the satisfaction feedback of the demander, the development trend of emerging culture and the demand change during specific holidays.

[0018] Preferably, the classification process of the improved clustering model is as follows:

[0019] S1. Randomly select k data points as the initial clustering centers;

[0020] S2. The mathematical expression for calculating the Manhattan distance between each data point and each of the initial distances is:

[0021]

[0022] In formula (1), x j is the jth data point, c i is the ith clustering center, x jm is the mth eigenvalue of the data point x j , c im is the mth eigenvalue of the clustering center c i , z is the number of eigenvalues, T mis the truncation threshold for the m-th feature, D is the Manhattan distance, and q is the weight;

[0023] Assign the data point to the cluster where the nearest initial cluster center is located;

[0024] S3. Recalculate the mean of the data points within each cluster to obtain new cluster centers;

[0025] S4. Repeat S2 and S3, adaptively adjust the assignment of data points and the positions of cluster centers until the maximum number of iterations is reached;

[0026] S5. Output the clustering result, where the clustering result includes at least the interest category, participation frequency, time period preference, geographical location, and digital demand.

[0027] Preferably, the resource supply module includes a supplier integration unit, a supplier evaluation and screening unit, and a supplier database unit;

[0028] The supplier integration unit investigates and collects information on various public cultural resource suppliers through multiple channels;

[0029] The supplier evaluation and screening unit conducts qualification reviews on suppliers applying to join the system;

[0030] The supplier database unit stores and manages supplier data using the relational database MySQL; the supplier database unit enters the supplier information after evaluation and screening into the database.

[0031] Preferably, the intelligent matching module includes a feature input unit, a similarity calculation unit, a weight assignment unit, a feature matching unit, and a delivery plan output unit;

[0032] The feature input unit is used to receive the feature information of the demand analysis module and the resource supply module;

[0033] The similarity calculation unit is used to measure the similarity between the characteristics of the demand side and the resource characteristics of the supply side;

[0034] The weight assignment unit assigns weights to each feature according to the importance of different features to the matching result; the sum of the weights is equal to 1, and each weight is greater than or equal to 0;

[0035] The feature matching unit is used to calculate the matching degree between the demand side and the supply side.

[0036] Preferably, the feature input unit includes a demand-side feature vector and a supply-side feature vector;

[0037] The mathematical expression of the demand-side feature vector is:

[0038] D=(d1 , d 2 , d 3 , d 4 , d 5 , d 6 , d 7 ) (2)

[0039] In formula (2), d 1 is the frequency of the demander participating in activities, d 2 is the idle time period of the demander, d 3 is the interest preference of the demander, d 4 is the quality requirement of the demander for the activity, d 5 is the special requirement of the demander, d 6 is the emerging culture and digital requirement of the demander, d 7 is the geographical location of the demander, and D is the demander feature vector;

[0040] The mathematical expression of the supplier feature vector is:

[0041] S = (s 1 , s 2 , s 3 , s 4 , s 5 , s 6 , s 7 ) (3)

[0042] In formula (3), s 1 is the average activity frequency of the demanders served by the supplier in the past, s 2 is the activity time period of the supplier, s 3 is the activity type of the supplier, s 4 is the satisfaction of the supplier, s 5 is a special cultural activity, s 6 is a new type of cultural and digital activity, s 7 is the address of the supplier, and S is the supplier feature vector.

[0043] Preferably, the mathematical expression for the intelligent matching module to calculate the matching degree between the demander and the supplier is:

[0044]

[0045] In formula (4), ω n is the weight of the nth dimension, α n is the adjustment parameter of the nth dimension, a 1 and b 1 are the horizontal and vertical coordinates of the demander, a 2 and b 2 are the horizontal and vertical coordinates of the supplier; ω 7is the weight of the geographical location dimension, α 7 is the adjustment parameter of the geographical location dimension.

[0046] Preferably, the distribution management module includes a distribution task allocation unit, a distribution process monitoring unit, and a distribution result feedback unit;

[0047] The distribution task allocation unit receives the distribution plan of the resource matching module, establishes an information database of distribution personnel and institutions, makes task allocation decisions through a genetic algorithm, and sends distribution task notifications to the selected distribution personnel;

[0048] The distribution process monitoring unit collects the location information, driving speed, driving direction, and transportation environment parameters of the distribution vehicle or personnel in real time through the positioning device and sensors installed on the distribution vehicle, and transmits the collected data to the monitoring platform in real time through wireless communication;

[0049] The distribution result feedback unit is used to automatically send a feedback invitation to the demander after the distribution task is completed, invite the demander to evaluate and feedback on the distribution service, collect, organize, and classify the information feedback by the demander, establish a feedback database, and feedback the analysis results to the distribution management department and the resource supply department.

[0050] Preferably, in the user interaction module, the demander queries cultural resource information and places an order to reserve services through the user interaction module, the supplier publishes product information and receives orders through the user interaction module, and the manager conducts system management and monitors the operation status through the user interaction module.

[0051] (III) Beneficial Effects

[0052] Compared with the prior art, the present application provides a system for the supply and distribution management of regional public cultural resources, having the following beneficial effects:

[0053] 1. The system deeply understands the cultural needs of the demander through the demand analysis module. The resource matching module uses an intelligent matching model and a variety of similarity calculation methods to accurately match the resources of the demander and the supplier, improving the utilization rate of resources and reducing resource idle and waste;

[0054] 2. The system conducts real-time monitoring and scheduling of the distribution process through the distribution management module, can optimize the distribution route, reasonably arrange the distribution time, improve the distribution efficiency, and ensure that public cultural resources are delivered to the demander in a timely and accurate manner;

[0055] The additional aspects and advantages of the present application will be partially given in the following description, partially become apparent from the following description, or be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0057] Figure 1 It is a schematic diagram of a system for the supply and distribution management of regional public cultural resources in the present application;

[0058] Figure 2 It is a schematic diagram of a demand analysis module in a system for the supply and distribution management of regional public cultural resources in the present application;

[0059] Figure 3 It is a schematic diagram of an intelligent matching module in a system for the supply and distribution management of regional public cultural resources in the present application. Detailed implementation manners

[0060] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0061] The terms "first" and "second" in the description and claims of the present application may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise specified, the meaning of "a plurality" is two or more. In addition, "and / or" in the description and claims means at least one of the connected objects, and the character " / " generally means an "or" relationship between the associated objects before and after.

[0062] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present application.

[0063] In the description of the present application, it should be noted that unless otherwise clearly specified and defined, the terms "installation", "connection", and "linkage" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0064] Please refer to Figures 1-3 , the present application provides a new technical solution:

[0065] A system for the supply and distribution management of regional public cultural resources, including:

[0066] A demand analysis module, which is used to collect the service demand information of the demand side for public culture within the target area, analyze the service culture information, and identify the cultural demand preferences and trends of the demand side;

[0067] A resource supply module, which integrates various public cultural resource suppliers and establishes a supplier database;

[0068] A resource matching module, according to the analysis results of the demand analysis module and the resource status of the resource supply module, improves the matching degree between the demand side and the supply side through an intelligent matching model, and formulates a distribution plan;

[0069] A distribution management module, which is used to formulate a distribution plan and plan the distribution route; the distribution management module formulates an optimal distribution plan according to the order information and the delivery address, real-time tracks the distribution progress, and timely feeds back the distribution information to the demand side and the management personnel;

[0070] A user interaction module, which is used to provide a convenient and fast interaction interface for the demand side, the supply side, and the management personnel; the user interaction module is provided with a personalized recommendation page;

[0071] The signal output end of the demand analysis module is connected to the signal input end of the resource matching module, the signal output end of the resource supply module is connected to the signal input end of the resource matching module, and the signal output end of the resource matching module is connected to the signal input end of the distribution management module.

[0072] In the present invention, the requirement analysis module includes an information collection unit, an information preprocessing unit, a requirement identification unit, and a requirement output unit; the information collection unit collects the requirement information of the requirement party through online data and offline questionnaires; the information preprocessing unit cleans, standardizes, and extracts features from the collected data; the requirement identification module classifies the preprocessed data through an improved clustering model; the signal output end of the information collection unit is connected to the signal input end of the information preprocessing unit, the signal output end of the information preprocessing unit is connected to the signal input end of the requirement identification unit, and the signal output end of the requirement identification unit is connected to the signal input end of the requirement identification unit.

[0073] In the present invention, the information collection unit includes the collection of basic information, information related to participating in public cultural activities, and historical data information; the basic information includes at least the age, gender, occupation, residential address, educational background, and field of interest of the requirement party; the information related to participating in public cultural activities includes at least the frequency of the requirement party's participation in activities, the free time period of the requirement party, the satisfaction feedback of the requirement party, the development trend of emerging cultures, and the demand changes during specific holidays.

[0074] In the present invention, the classification process of the improved clustering model is as follows:

[0075] S1. Randomly select k data points as the initial clustering centers;

[0076] S2. The mathematical expression for calculating the Manhattan distance between each data point and each of the initial distances is:

[0077]

[0078] In formula (1), x j is the jth data point, c i is the ith clustering center, x jm is the mth eigenvalue of the data point x j , c im is the mth eigenvalue of the clustering center c i , z is the number of eigenvalues, T m is the truncation threshold of the mth feature, D is the Manhattan distance, and q is the weight;

[0079] Assign the data points to the cluster where the nearest initial clustering center is located;

[0080] S3. Recalculate the mean of the data points within each cluster to obtain new clustering centers;

[0081] S4. Repeat S2 and S3, adaptively adjust the assignment of data points and the positions of clustering centers until the maximum number of iterations is reached;

[0082] S5. Output the clustering results, where the clustering results at least include interest categories, participation frequencies, time period preferences, geographical locations, and digital demands.

[0083] In a specific embodiment, the T m is the truncation threshold for the m-th feature, used to limit the influence of outliers. |x jm -c im | calculates the absolute difference between the data point x j and the clustering center c i on the m-th feature. min(|x jm -c im |, T m ) takes the smaller value between the absolute difference and the truncation threshold T m to reduce the error.

[0084] In a specific embodiment, the classification by interest category at least includes music, dance, art, technology, reading, and art; the classification by participation frequency includes high-frequency participants, medium-frequency participants, and low-frequency participants. The high-frequency participants participate in activities at least once a week. The medium-frequency participants do not participate in activities at least once. The low-frequency participants participate in activities 5 times or less per year; the classification by time period preference includes weekend active users, weekday active users, and all-day active users; the classification by geographical location includes local users, cross-regional users, and online users; the classification by special needs includes family users, elderly groups, and disabled persons; the classification by digital demand includes digital resource users and mobile application users. The digital resource users mainly use online libraries, virtual museums, and distance education courses.

[0085] In the present invention, the resource supply module includes a supplier integration unit, a supplier evaluation and screening unit, and a supplier database unit;

[0086] The supplier integration unit investigates and collects information on various public cultural resource suppliers through multiple channels. The channels at least include recommendations from cultural industry associations, resource lists of government cultural departments, online searches, and on-site visits to cultural venues;

[0087] The supplier evaluation and screening unit conducts qualification reviews on suppliers applying to join the system. The review content at least includes the business licenses, relevant industry licenses, and professional qualification certificates of the suppliers to ensure that they are qualified to legally and compliantly provide public cultural resources, and uses data from third-party credit evaluation agencies to obtain the credit ratings, credit reports, and quality assessment ability evaluations of the suppliers, and comprehensively judges the public cultural service levels of the suppliers;

[0088] The supplier database unit uses the relational database MySQL to store and manage supplier data; the supplier database unit enters the supplier information after evaluation and screening into the database, and the supplier information includes the name, address, contact information, qualification information, credit rating, resource details, service capacity information, and historical cooperation records of the supplier.

[0089] In the present invention, the intelligent matching module includes a feature input unit, a similarity calculation unit, a weight assignment unit, a feature matching unit, and a distribution plan output unit;

[0090] The feature input unit is used to receive the feature information of the demand analysis module and the resource supply module;

[0091] The similarity calculation unit is used to measure the similarity between the characteristics of the demander and the resource characteristics of the supplier;

[0092] The weight assignment unit assigns weights to each feature according to the importance of different features to the matching result; the sum of all weights is equal to 1, and each weight is greater than or equal to 0;

[0093] The feature matching unit is used to calculate the matching degree between the demander and the supplier.

[0094] In a specific embodiment, the signal output end of the feature input unit is connected to the signal input end of the similarity calculation unit, the signal output end of the similarity calculation unit is connected to the signal input end of the weight assignment unit, the signal output end of the weight assignment unit is connected to the signal output end of the feature matching unit, and the signal output end of the feature matching unit is connected to the signal input end of the distribution plan output unit.

[0095] In the present invention, the feature input unit includes a demander feature vector and a supplier feature vector; the mathematical expression of the demander feature vector is:

[0096] D = (d 1 , d 2 , d 3 , d 4 , d 5 , d 6 , d 7 ) (2)

[0097] In formula (2), d 1 is the frequency of the demander participating in activities, d 2 is the idle time period of the demander, d 3 is the interest preference of the demander, d 4 is the quality requirement of the demander for the activity, d 5 is the special requirement of the demander6 For the emerging cultural and digital needs of the demand side, d 7 For the geographical location of the demand side, D is the feature vector of the demand side;

[0098] The mathematical expression of the feature vector of the supply side is:

[0099] S = (s 1 , s 2 , s 3 , s 4 , s 5 , s 6 , s 7 ) (3)

[0100] In formula (3), s 1 is the average activity frequency of the demand sides served by the supply side in the past, s 2 is the activity time period of the supply side, s 3 is the activity type of the supply side, s 4 is the satisfaction degree of the supply side, s 5 is a special cultural activity, s 6 is a new cultural and digital activity, s 7 is the address of the supply side, and S is the feature vector of the supply side.

[0101] In the present invention, the mathematical expression for the intelligent matching module to calculate the matching degree between the demand side and the supply side is:

[0102]

[0103] In formula (4), ω n is the weight of the nth dimension, α n is the adjustment parameter of the nth dimension, a 1 and b 1 are the horizontal and vertical coordinates of the demand side, a 2 and b 2 are the horizontal and vertical coordinates of the supply side; ω 7 is the weight of the geographical location dimension, α 7 is the adjustment parameter of the geographical location dimension.

[0104] In a specific embodiment, the adjustment parameters α n and α 7 can control the influence degree of the feature differences between the demand side and the supply side in different dimensions on the matching degree. When α n is greater than 0.6, even if d n and s n only have a small difference, it will also cause a large change in the calculation result of the matching degree, and the system is more sensitive to the differences in dimensions; when α n is less than 0.2, the influence of the difference on the matching degree is small; the weight ωn and ω 7 reflects the relative importance of each dimension in the overall matching degree calculation; the output range of the matching degree E is [0, 1]. When E is greater than 0.8, it indicates a high matching degree.

[0105] In the present invention, the distribution management module includes a distribution task assignment unit, a distribution process monitoring unit, and a distribution result feedback unit;

[0106] The distribution task assignment unit receives the distribution plan from the resource matching module, establishes an information database of distribution personnel and institutions, collects the working status, current location, distance from the distribution starting point, and transportation cost of the distribution personnel; the system makes a task assignment decision through a genetic algorithm, sends a distribution task notice to the selected distribution personnel, and the content of the task notice includes at least the task details, task priority, and estimated completion time, and feedbacks whether the task can be completed on time and whether there are special problems or matters that need to be coordinated;

[0107] The distribution process monitoring unit collects the location information, driving speed, driving direction, and transportation environment parameters of the distribution vehicle or personnel in real time through the positioning device and sensors installed on the distribution vehicle, and transmits the collected data to the monitoring platform in real time through wireless communication;

[0108] The distribution result feedback unit is used to automatically send a feedback invitation to the demand side after the distribution task is completed, invite the demand side to evaluate and feedback on the distribution service, collect, organize, and classify the information feedback by the demand side, establish a feedback database, and feedback the analysis results to the distribution management department and the resource supply department.

[0109] In a specific embodiment, the distribution task assignment unit uses a genetic algorithm for task assignment, sets the task assignment plan of each distribution personnel as a chromosome, optimizes the chromosome through selection, crossover, and mutation to obtain the optimal distribution plan, that is, the distribution plan with the lowest total transportation cost and the highest distribution efficiency.

[0110] In a specific embodiment, the positioning device in the distribution process monitoring unit is a GPS locator, and the sensors include a vibration sensor, a greenhouse sensor, and a humidity sensor; the distribution process monitoring unit sets the warning threshold of the parameters. When the temperature and humidity of the transported polygonatum sibiricum exceed the temperature range suitable for the preservation of cultural resources, the system immediately sends an alarm message to the distribution personnel and management personnel; when abnormal situations such as traffic accidents, road congestion, and equipment failures occur, the system automatically records the time, location, and type of the event, and processes it according to the preset processing rules, re-planning the distribution route, dispatching spare vehicles or personnel.

[0111] In the present invention, in the user interaction module, the demander queries cultural resource information and places an order for reservation services through the user interaction module, the supplier publishes product information and receives orders through the user interaction module, and the manager conducts system management and monitors the operation status through the user interaction module.

[0112] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "schematic embodiments", "examples", "specific examples", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

Claims

1. A regional public cultural resource supply and distribution management system, characterized in that: include: The demand analysis module is used to collect the service demand information of public culture from the demand side in the target area, analyze the service culture information, and identify the cultural demand preferences and trends of the demand side; Resource supply module, integrating various public cultural resource suppliers and establishing a supplier database; A resource matching module, which improves the matching degree between the demand side and the supply side through an intelligent matching model according to the analysis results of the demand analysis module and the resource status of the resource supply module, and formulates a distribution plan; The distribution management module is used to formulate distribution plans and plan distribution routes; The delivery management module formulates the optimal delivery plan based on the order information and delivery address, tracks the delivery progress in real time, and promptly feeds back the delivery information to the demander and management personnel; A user interaction module is used to provide a convenient and fast interaction interface for demanders, suppliers and managers; the user interaction module is provided with a personalized recommendation page; The signal output end of the demand analysis module is connected to the signal input end of the resource matching module, the signal output end of the resource supply module is connected to the signal input end of the resource matching module, and the signal output end of the resource matching module is connected to the signal input end of the distribution management module.

2. A regional public cultural resource supply and distribution management system according to claim 1, characterized in that: The demand analysis module includes an information collection unit, an information preprocessing unit, a demand identification unit and a demand output unit; the information collection unit collects demand information from the demander through online data and offline questionnaire surveys; the information preprocessing unit cleans, standardizes and extracts features from the collected data; The demand identification module classifies the preprocessed data through an improved clustering model; the signal output end of the information collection unit is connected to the signal input end of the information preprocessing unit, the signal output end of the information preprocessing unit is connected to the signal input end of the demand identification unit, and the signal output end of the demand identification unit is connected to the signal input end of the demand identification unit.

3. A regional public cultural resource supply and distribution management system according to claim 2, characterized in that: The information collection unit includes collecting basic information, information related to participation in public cultural activities and historical data information; the basic information includes at least the age, gender, occupation, residential address, educational background and areas of interest of the demander; the information related to participation in public cultural activities includes at least the frequency of the demander's participation in activities, the demander's free time period, the demander's satisfaction feedback, emerging cultural development trends and changes in demand for specific holidays.

4. A regional public cultural resource supply and distribution management system according to claim 2, characterized in that: The classification process of the improved clustering model is: S1, randomly select k data points as the initial cluster centers; S2. The mathematical expression for calculating the Manhattan distance between each data point and each of the initial distances is: In formula (1), x j is the jth data point, c i is the i-th cluster center, x jm For data point x j The mth eigenvalue of im is the cluster center c i The mth eigenvalue of , z is the number of eigenvalues, T m is the cutoff threshold of the mth feature, D is the Manhattan distance, and q is the weight; Assign the data point to the cluster where the nearest initial cluster center is located; S3, recalculate the mean of the data points in each cluster to obtain the new cluster center; S4, repeat S2 and S3, adaptively adjust the distribution of data points and the location of cluster centers until the maximum number of iterations is reached; S5. Output clustering results, where the clustering results at least include interest categories, participation frequency, time period preference, geographic location, and digital needs.

5. A regional public cultural resource supply and distribution management system according to claim 1, characterized in that: The resource supply module includes a supplier integration unit, a supplier evaluation and screening unit, and a supplier database unit; The supplier integration unit investigates and collects information on various public cultural resource suppliers through various channels; The supplier evaluation and screening unit conducts qualification review on suppliers applying to join the system; The supplier database unit uses the relational database MySQL to store and manage supplier data; the supplier database unit enters the evaluated and screened supplier information into the database.

6. A regional public cultural resource supply and distribution management system according to claim 1, characterized in that: The intelligent matching module includes a feature input unit, a similarity calculation unit, a weight allocation unit, a feature matching unit and a distribution plan output unit; The feature input unit is used to receive feature information of the demand analysis module and the resource supply module; The similarity calculation unit is used to measure the similarity between the demand side characteristics and the supply side resource characteristics; The weight allocation unit allocates a weight to each feature according to the importance of different features to the matching result; The sum of all weights is equal to 1, and each weight is greater than or equal to 0; The feature matching unit is used to calculate the matching degree between the demander and the supplier.

7. A regional public cultural resource supply and distribution management system according to claim 6, characterized in that: The feature input unit includes a demand-side feature vector and a supply-side feature vector; The mathematical expression of the demand side feature vector is: D=(d1,d2,d3,d4,d5,d6,d7) (2) In formula (2), d1 is the frequency of the demand side's participation in activities, d2 is the demand side's free time period, d3 is the demand side's interest preference, d4 is the demand side's quality requirements for activities, d5 is the demand side's special needs, d6 is the demand side's emerging cultural and digital needs, d7 is the demand side's geographical location, and D is the demand side's characteristic vector; The mathematical expression of the supply-side characteristic vector is: S=(s1,s2,s3,s4,s5,s6,s7) (3) In formula (3), s1 is the average activity frequency of the demand side that the supplier has served in the past, s2 is the activity time period of the supplier, s3 is the activity type of the supplier, s4 is the supplier satisfaction, s5 is special cultural activities, s6 is new cultural and digital activities, s7 is the supplier address, and S is the supplier feature vector.

8. A regional public cultural resource supply and distribution management system according to claim 6, characterized in that: The mathematical expression for calculating the matching degree between the demander and the supplier by the intelligent matching module is: In formula (4), ω n is the weight of the nth dimension, α n The adjustment parameters of the nth dimension, a1 and b1 are the horizontal and vertical coordinates of the demand side, a2 and b2 are the horizontal and vertical coordinates of the supply side; ω7 is the weight of the geographic location dimension, α7 is the adjustment parameter of the geographic location dimension, and E is the matching degree.

9. A regional public cultural resource supply and distribution management system according to claim 1, characterized in that: The delivery management module includes a delivery task allocation unit, a delivery process monitoring unit and a delivery result feedback unit; The delivery task allocation unit receives the delivery plan of the resource matching module, establishes an information base of delivery personnel and organizations, makes task allocation decisions through a genetic algorithm, and sends a delivery task notification to the selected delivery personnel; The delivery process monitoring unit collects the location information, driving speed, driving direction and transportation environment parameters of the delivery vehicle or personnel in real time through the positioning equipment and sensors installed on the delivery vehicle, and transmits the collected data to the monitoring platform in real time through wireless communication; The delivery result feedback unit is used to automatically send a feedback invitation to the demander after the delivery task is completed, inviting the demander to evaluate and provide feedback on the delivery service, collect, organize and classify the information fed back by the demander, establish a feedback database, and feed back the analysis results to the delivery management department and the resource supply department.

10. A regional public cultural resource supply and distribution management system according to claim 1, characterized in that: In the user interaction module, the demander queries cultural resource information and places orders for reservation services through the user interaction module, the supplier publishes product information and receives orders through the user interaction module, and the manager manages the system and monitors operations through the user interaction module.

Images