Community life resource allocation management system and method based on multi-terminal cooperation

Abstract

The invention discloses a community life resource allocation management system and method based on multi-terminal collaboration, and relates to the technical field of community resource allocation, a user role management module is used for initializing user roles and allocating corresponding function permissions; the administrator evaluation module is used for regularly evaluating an administrator to generate a resource allocation score; the resident score and administrator role exchange module is used for carrying out role exchange according to the quality score of the resident and the resource allocation score of the administrator; the resource consumption and administrator capacity expansion evaluation module is used for determining whether to trigger an administrator capacity expansion mechanism; by collecting and analyzing the positive feedback and response frequency of residents, the work performance of the administrator can be objectively and comprehensively evaluated, which is helpful for stimulating the administrator to improve the service quality, thereby enhancing the satisfaction and credibility of users; the residents are encouraged to actively participate in community management through role exchange between the residents and the administrators, so that the residents and the administrators are facilitated to simultaneously distribute and manage community resources in a multi-terminal cooperation manner.

Description

Technical Field

[0001] The present invention relates to the technical field of community resource allocation, and more specifically, to a community living resource allocation management system and method based on multi-terminal collaboration. Background Art

[0002] With the continuous expansion of community scale and the increasing diversification of residents' needs, the consumption and management difficulty of community resources are also increasing continuously. Traditional community resource management methods often rely on manual operations and simple informatization means.

[0003] In the current management of community living resource allocation, due to the low participation of residents in community management, there is a problem of single allocation management in community living resource allocation management, which restricts the innovation and development of community management. At the same time, community management cannot dynamically adjust and optimize resources according to the actual needs and feedback of users.

[0004] In view of the above problems, the present invention proposes a solution. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide a community living resource allocation management system and method based on multi-terminal collaboration to solve the problems raised in the above background art.

[0006] To achieve the above object, the present invention provides the following technical solutions: A community living resource allocation management method based on multi-terminal collaboration, including: S1, dividing users into two different roles, namely residents and managers, according to the historically stored user tags; S2, obtaining the resource reservations of residents and randomly allocating them to different administrators for processing, collecting the feedback resources of residents on the processing results of administrators through a feedback form, comparing the feedback resources with the keywords in the preset positive feedback data set and counting the positive feedback frequency, obtaining the response frequency of administrators, and calculating the resource allocation scores of different administrators by combining the positive feedback frequency; S3, obtaining the number of community service times and the number of violations of management of residents and generating a quality score, classifying the residents with a quality score higher than the default initial threshold into a management observation library, and changing and swapping the roles of residents and administrators in the management observation library according to the quality score of residents and the resource allocation score of administrators; S4, counting the new resident occupancy rate of the community and the number of times residents reserve resources and calculating the resource consumption rate, obtaining the administrator replacement rate, comprehensively analyzing the adjustment status of the default initial threshold by combining the resource consumption rate and the replacement rate, and selecting whether to trigger the administrator expansion mechanism according to the adjustment status of the initial threshold.

[0007] In a preferred embodiment, in S1, when dividing users, the community resource management mechanism automatically assigns corresponding tags to users. The community resource management mechanism authenticates identities by verifying the community administrator certificates of management team members, marking the certificate holders as "managers" and non-certificate holders as "residents".

[0008] In a preferred embodiment, in S2, the feedback resource is the feedback keywords of residents on the administrator's handling results. A period of time is selected as the feedback collection time. During the feedback collection time, the feedback resources of residents are matched with the same keywords in the preset positive feedback dataset. If the match is successful, a count is made, and the count result during the feedback collection time is statistically used as the positive feedback frequency; the feedback form is a tool for data interaction with users, used to collect the feedback resources of residents during the feedback collection time; the positive feedback dataset includes the previously recorded positive feedback keywords.

[0009] In a preferred embodiment, in S2, during the feedback collection time, the number of days the administrator logs in and the number of times the administrator responds to residents are obtained. The product of the number of days the administrator logs in and the number of times the administrator responds to residents is used as the response frequency; the response frequency of the administrator and the positive feedback frequency are weighted and summed, and the calculation result is used as the resource allocation score of the administrator.

[0010] Specifically, the work performance of each administrator can be reflected through the administrator ranking. Administrators with lower rankings are rewarded to encourage them to continue to actively respond to residents. For administrators with higher rankings, a role swap with residents is carried out. In this way, not only can excellent administrators be motivated to continue to maintain their enthusiasm, but also the participation of residents can be improved, ultimately improving the efficiency and service quality of the entire community management team, and thus being conducive to the multi-terminal collaborative allocation and management of community resources by residents and administrators.

[0011] In a preferred embodiment, in S3, a weighted difference calculation is performed on the number of times a resident participates in community services and the number of times the resident violates management: J = Z × - W × ; where Z represents the number of times a resident participates in community volunteer services during the feedback collection time; W represents the number of times a resident violates community management during the feedback collection time; J is the resident score obtained through calculation; are the weights of Z and W respectively.

[0012] Specifically, by quantifying the number of times a resident participates in community volunteer services and the number of times the resident violates community management, the behavior performance of residents can be objectively evaluated, providing a basis for role swapping. The resident scoring mechanism encourages residents to actively participate in community volunteer services and abide by community rules, which helps to improve the overall atmosphere and management level of the community.

[0013] In a preferred embodiment, in S3, the default initial threshold is the judgment condition set in the historical data for comparing the quality scores of residents; the management observation database is a database for monitoring and managing the quality of residents and the resource allocation of administrators, and the residents and administrators in the management observation database are exchanged equally; the number of residents in the management observation database is counted, the administrators are sorted in ascending order according to the resource allocation scores, and the same number of administrators as the number of residents are selected and marked according to the sorting order, and the marked administrators are randomly exchanged with the residents in the management observation database.

[0014] Specifically, by evaluating the resource allocation scores of administrators and the quality scores of residents during the feedback collection time, the roles of administrators and residents are exchanged, which is beneficial to ensuring the team vitality of administrators and the active participation of residents in community resource allocation, thereby improving the community resource allocation management ability and enhancing the overall operation efficiency of the community.

[0015] In a preferred embodiment, in S4, the newly added resident occupancy rate in the community and the number of times residents reserve resources during the feedback collection time are counted, and the resource consumption rate is calculated through a linear regression model; the number of times of role exchange between residents and administrators and the total number of administrators during the feedback collection time are obtained, and the ratio of the number of role exchanges to the total number of administrators is used as the administrator replacement rate; the adjustment status of the default initial threshold is evaluated through fuzzy inference, and the specific steps are as follows: Step 1, the resource consumption rate and the administrator replacement rate are defined as input variables and divided into different fuzzy sets respectively; Step 2, the adjustment status of the initial threshold is defined as the output variable and divided into fuzzy sets; Step 3, a set of fuzzy rules are formulated to describe the influence of different input variables on the output variable; Step 4, fuzzy inference is carried out according to the fuzzy rules, and the adjustment status of the default initial threshold is divided into increase or decrease according to the fuzzy inference result; when the adjustment status of the default initial threshold is in the decrease state, the default initial threshold is reduced and the administrator expansion mechanism is triggered.

[0016] In a preferred embodiment, in S4, the default initial threshold after reduction processing is calculated by the percentile method according to the resource consumption rate and the administrator replacement rate: , where L is the default initial threshold, is the resource consumption rate, is the administrator replacement rate, C is the preset harmonic percentage, is the default initial threshold after reduction processing, and As the change threshold; the administrator expansion mechanism is as follows: after classifying the residents with a resident score higher than the change threshold into the management observation library, swap the roles of the residents with a score lower than the default initial threshold but higher than the change threshold in the management observation library with the corresponding administrators, and directly add the residents with a score higher than the default initial threshold in the management observation library to the administrator role.

[0017] Specifically, by selecting whether to trigger the administrator expansion mechanism according to the adjustment status of the default initial threshold, it is beneficial to dynamically adjust the number of administrators and the allocation of management resources according to the actual situation, which is conducive to coping with changes in the scale of community resources and the resource needs of residents, and thus helps to quickly respond to emergencies or changes in community resource allocation.

[0018] A community life resource allocation management system based on multi-terminal collaboration includes a user role management module, an administrator performance evaluation module, a resident score and administrator role swap module, and a resource consumption and administrator expansion evaluation module: The user role management module is used to initialize user roles and allocate corresponding functional permissions; the administrator performance evaluation module is used to regularly evaluate the performance of administrators and generate administrator scores; the resident score and administrator role swap module is used to calculate resident scores based on resident behaviors and administrator performance, and perform role swaps according to the score results; the resource consumption and administrator expansion evaluation module is used to analyze resource consumption and administrator changes and decide whether to trigger the administrator expansion mechanism.

[0019] The technical effects and advantages of a community life resource allocation management system and method based on multi-terminal collaboration of the present invention: Through the clear division of user roles in the present invention, residents and managers can perform their respective duties. Residents focus on the use and feedback of resources, while managers focus on the effective management and allocation of resources; by collecting and analyzing the feedback resources of residents and the response frequency of administrators, the work performance of administrators can be objectively and comprehensively evaluated, which helps to motivate administrators to improve service quality, thereby enhancing user satisfaction and trust; through the role swap between residents and administrators, residents are encouraged to actively participate in community management; by dynamically adjusting the scale of the management team according to the actual situation of the community, it is beneficial to maintain the stability and efficiency of the management team.

[0020] The present invention realizes the systematization, automation and intelligence of community life resource allocation management by constructing a user role management module, an administrator performance evaluation module, a resident score and administrator role swap module, and a resource consumption and administrator expansion evaluation module, greatly improving the management efficiency. Brief Description of the Drawings

[0021] Figure 1 It is a schematic structural diagram of a community life resource allocation management method based on multi-terminal collaboration of the present invention; Figure 2 This is a schematic diagram of the structure of a community life resource allocation and management system based on multi-terminal collaboration according to the present invention. Specific implementation manners

[0022] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0023] Embodiment 1 The present invention discloses a method for allocating and managing community life resources based on multi-terminal collaboration, as Figure 1 , Figure 2 shown, including the following steps: S1. Divide users into two different roles, namely residents and managers, according to the historically stored user tags; S2. Obtain the resource reservations of residents and randomly allocate them to different administrators for processing. Collect the feedback resources of residents on the processing results of the administrators through a feedback form, compare the feedback resources with the keywords in the preset positive feedback data set and count the positive feedback frequency, obtain the response frequency of the administrators, and calculate the resource allocation scores of different administrators in combination with the positive feedback frequency; S3. Obtain the number of community service times and the number of violations of management of residents and generate a quality score. Incorporate the residents with a quality score higher than the default initial threshold into the management observation library, and change and swap the roles of the residents and administrators in the management observation library according to the quality score of the residents and the resource allocation score of the administrators; S4. Statistically calculate the new resident occupancy rate and the number of times residents reserve resources in the community and calculate the resource consumption rate, obtain the administrator replacement rate, comprehensively analyze the adjustment status of the default initial threshold in combination with the resource consumption rate and the replacement rate, and select whether to trigger the administrator expansion mechanism according to the adjustment status of the initial threshold.

[0024] In this implementation manner, S1 includes the following processes: When dividing users, the community resource management mechanism automatically assigns corresponding tags to users. The community resource management mechanism authenticates the identity by checking the community administrator certificates of the management team members, marks the certificate holders as "managers", and the non-certificate holders as "residents".

[0025] The community resource management mechanism assigns different permissions and operable ranges to different user roles; in the community resource management mechanism, residents are responsible for resource reservation and feedback on resource usage, and managers are responsible for managing resources and adjusting resource allocation.

[0026] It should be noted that the community resource management mechanism refers to the effective organization and management within a community to rationally allocate and use various resources to maximize the needs of community members and promote the sustainable development of the community. During the operation of the community resource management mechanism, if the user tags change, the community resource management mechanism will update the user tags and reassign the corresponding permissions. For example, if a certain resident becomes a community staff member or a member of the management team, the resident needs to obtain the role of an administrator through re-authentication, and the community resource management mechanism changes the resident's permissions and the scope of operations according to the authentication results. The historical stored user tags are stored in the community resource management mechanism. The community resource management mechanism divides users into two different roles, residents and managers, based on the historical stored user tags. The historical stored user tags contain the tag information saved based on the user's past behaviors, roles, contributions, or other characteristics. The specific tag classification is formulated by relevant professionals and will not be elaborated here.

[0027] In this embodiment, S2 includes the following processes: The feedback resource is the feedback keyword of the resident on the administrator's processing result. A period of time is selected as the feedback collection time. During the feedback collection time, the feedback resource of the resident is matched with the same keywords in the preset positive feedback dataset. If the match is successful, a count is made once, and the count result during the feedback collection time is statistically used as the positive feedback frequency. The feedback form is a tool for data interaction with users, used to collect the feedback resources of residents during the feedback collection time; the positive feedback dataset includes the positive feedback keywords recorded in the past.

[0028] It should be noted that the preset positive feedback dataset is generated by collecting positive emotion feedback keywords. Among them, common positive feedback keywords are such as "thank you", "satisfied", "good review", "admire", "wonderful", etc. The sentiment analysis algorithm is used to extract the feedback resources of the residents on the administrator's processing result in the feedback form. Whenever a resident gives feedback in the feedback form, the sentiment analysis algorithm extracts the feedback resources from the feedback in the feedback form and records the feedback time and administrator information in the feedback form.

[0029] It should be noted that the sentiment analysis algorithm is a natural language processing technology used to identify, extract, and analyze the emotional information in the text, usually used to judge the emotional attitude expressed by the text.

[0030] The login days of each administrator during the feedback collection time are statistically counted through the login logs in the community resource management mechanism, and the number of times each administrator responds to residents during the feedback collection time is obtained through the logs of the administrator's reply to residents' feedback in the community resource management mechanism.

[0031] It should be noted that the login log in the community resource management mechanism usually refers to a log file that records the detailed information of users' login operations in the system. In the community resource management mechanism, the log of the administrator's response to residents' feedback mainly records the communication process between the administrator and residents, the content of the feedback, the administrator's response, and subsequent follow-up measures.

[0032] Specifically, the product of the number of days the administrator logs in and the number of times the administrator responds to residents is used as the response frequency. The specific calculation formula for the response frequency is: T = , where T is the response frequency, is the number of times the administrator responds to residents per week, is the number of days the administrator logs in per week.

[0033] Furthermore, the weighted sum of the positive feedback frequency and the administrator's response frequency is calculated, and the calculation result is used as the administrator's resource allocation score. Among them, the positive feedback frequency and the administrator's response frequency are respectively marked as H and T, and two weights and are introduced to represent their importance in the weighted sum. The weighted sum expression can be: P = × +T× ; where: H represents the positive feedback frequency; T is the administrator's response frequency; P is the resource allocation score; is the weight of the positive feedback frequency during the feedback collection time; is the weight of the response frequency during the feedback collection time.

[0034] In practical applications, the selection of the weights and should be based on specific application scenarios and requirements to ensure that they can accurately reflect their relative importance in that scenario. At the same time, the sum of these two weights should usually be equal to 1 (or 100% if expressed as a percentage) to indicate that they together constitute all the weights of the entire weighted sum.

[0035] Among them, the administrator scores of each administrator are calculated respectively, and the administrators are sorted in ascending order according to the resource allocation scores. Through the administrator sorting, the work performance of each administrator can be reflected. Reward the administrators with lower rankings to encourage them to continue to actively respond to residents, and swap the roles of the administrators with higher rankings and residents. In this way, not only can the excellent administrators be encouraged to continue to maintain their enthusiasm, but also the residents' participation can be improved, and ultimately the efficiency and service quality of the entire community management team can be enhanced.

[0036] In this embodiment, S3 includes the following processes: Obtain the number of times a resident participates in community services during the feedback collection time by accessing the community service system, and obtain the number of times a resident violates management during the feedback collection time by accessing the management rule library in the community resource management mechanism; It should be noted that community service is a software tool for organizing, managing, and tracking community activities, which helps communities, non-profit organizations, enterprises, or other types of institutions effectively manage aspects such as resident registration, arrangement, participation, evaluation, and communication. The management rule library is usually a centralized system for storing and managing all rules, policies, and codes of conduct within the community, and stores the number of times residents violate management.

[0037] Furthermore, generate the quality score of the resident based on the number of times the resident participates in community services and the number of times of violating management, and perform a weighted difference calculation on the number of times the resident participates in community services and the number of times of violating management: J = Z × - W × ; where Z represents the number of times a resident participates in community volunteer services during the feedback collection time; W represents the number of times a resident violates community management during the feedback collection time; J is the calculated resident score; are the weights of Z and W respectively.

[0038] Calculate the resident scores of each resident during the feedback collection time respectively. According to the result J of the weighted sum, set a default initial threshold L for the resident score to determine whether a resident needs to be included in the management observation library. The default initial threshold is the judgment condition set in the historical data, which is used to compare the quality scores of residents, that is When, include this resident in the management observation library.

[0039] It should be noted that the management observation library is a database for monitoring and managing resident quality and administrator resource allocation, and the residents and administrators in the management observation library are exchanged equally.

[0040] Count the number of residents in the management observation library, sort the administrators in ascending order according to the resource allocation score, screen out the same number of administrators as the number of residents according to the sorting order for marking, and randomly exchange the roles of the marked administrators with the residents in the management observation library. By evaluating the resource allocation score of the administrator and the quality score of the resident during the feedback collection time, the role exchange between the administrator and the resident is carried out, which is beneficial to ensuring the team vitality of the administrator and the active participation of the resident in the community resource allocation, and further beneficial to the multi-terminal collaborative allocation and management of community resources by the resident and the administrator at the same time, enhancing the overall operation efficiency of the community.

[0041] In this embodiment, S4 includes the following processes: Obtain the new resident occupancy rate of the community during the feedback collection time by accessing the resident registration system of the community. The new resident occupancy rate = × 100%, obtaining the number of times residents reserve resources during the feedback collection time through the community resource management mechanism.

[0042] It should be explained that the resident registration system of the community refers to a system used by a local government or community management agency to record and manage the basic information of residents.

[0043] Comprehensively analyze the resource consumption rate through a linear regression model based on the new resident occupancy rate and the number of times residents reserve resources. Among them, "new resident occupancy rate" and "number of times of reserving resources" are selected as independent variables, and the target variable is "resource consumption rate". Use the linear regression algorithm to fit the data and find the relationship between the independent variable and the target variable. The basic formula of the linear regression model is: Y = є; where Y is the target variable, that is, the resource consumption rate; ,... are independent variables, that is, the new resident occupancy rate, the number of times of reserving resources; is the intercept term, that is, the constant term; , ,... are regression coefficients, indicating the influence of each independent variable on the target variable; є is the error term, indicating the part that the model fails to explain.

[0044] For example, collect data for the past 6 months, including: new resident occupancy rate, number of times of reserving resources, monthly resource consumption rate.

[0045] Use the linear regression model to predict the monthly resource consumption rate, using "new resident occupancy rate" and "number of times of reserving resources" as independent variables. The formula of the linear regression model may be as follows: Resource consumption rate = × (number of times of reserving resources). Through regression analysis of the collected data, you will obtain the regression coefficient , , , so as to predict the future resource consumption rate. Suppose, resource consumption rate = × (number of times of reserving resources). For example, predict the resource consumption rate in the 7th month (new resident occupancy rate is 8%, number of times of reserving resources is 190 times): Resource consumption rate = × 190 = 405. Therefore, the predicted resource consumption rate in the 7th month is 405 units.

[0046] Calculate and obtain the administrator replacement rate based on the number of times residents and administrators switch roles during the feedback collection time and the total number of administrators. The specific calculation formula for the administrator replacement rate is: Q = × 100%; where Q is the administrator replacement rate, is the number of times the roles of residents and administrators are swapped. is the total number of administrators; comprehensively analyze the adjustment status of the default initial threshold in combination with the resource consumption rate and the administrator replacement rate, and select whether to trigger the administrator expansion mechanism according to the adjustment status of the default initial threshold.

[0047] The specific working process of comprehensively analyzing and evaluating the adjustment status of the default initial threshold is as follows: Step 1, define the resource consumption rate and the administrator replacement rate as input variables, and divide them into different fuzzy sets respectively.

[0048] For example, "Low", "Medium", "High" for the resource consumption rate, and "Small", "Medium", "Large" for the administrator replacement rate; Step 2, define the adjustment status of the default initial threshold as the output variable, and divide it into a fuzzy set. For example, "Few", "Medium", "Many" for the adjustment status of the initial threshold.

[0049] Step 3, formulate a set of fuzzy rules to describe the impact of the resource consumption rate and the administrator replacement rate on the adjustment status of the default initial threshold. The definition of the rules can be based on professional knowledge or obtained through data analysis and experiments. For example: Mark the resource consumption rate as Y, the administrator replacement rate as Q, and the adjustment status of the default initial threshold as K, then it can be defined as Rule 1: IF (Y is High) AND (Q is Large) THEN (K is Few) Rule 2: IF (Y is Low) AND (Q is Small) THEN (K is Many) Step 4, perform fuzzy reasoning according to the fuzzy rules to determine the division scheme that describes the impact of the resource consumption rate and the administrator replacement rate on the adjustment status of the default initial threshold.

[0050] It should be noted that the division of the fuzzy set can be adjusted according to the actual situation. For example, although this embodiment takes three fuzzy sets as an example, in fact, the resource consumption rate, the administrator replacement rate, and the adjustment status of the default initial threshold can be divided into more than three sets to facilitate a better division of the adjustment status of the default initial threshold.

[0051] Further, for the judgment of high, medium, and low resource consumption rates and administrator replacement rates, thresholds can be set according to the actual situation for judgment. For example, when the resource consumption rate does not exceed 500 units, it is labeled as "Low", and when the administrator replacement rate is not higher than 20%, it is labeled as "Small", etc., which will not be elaborated here.

[0052] Among them, when the output variable is "Few", the adjustment status of the default initial threshold is defaulted to the decreasing state, and when the output variable is "Many", the adjustment status of the default initial threshold is defaulted to the increasing state. When the adjustment status of the default initial threshold is the decreasing state, the administrator expansion mechanism is triggered.

[0053] Calculate the default initial threshold after reduction processing through the percentile method based on the resource consumption rate and the administrator replacement rate: , where L is the default initial threshold, is the resource consumption rate, is the administrator replacement rate, C is the preset harmonic percentage, is the default initial threshold after reduction processing, and is used as the change threshold; The administrator expansion mechanism is as follows: After dividing the residents with a community service score higher than the change threshold into the management observation library, swap the roles of the residents with a community service score lower than the default initial threshold and higher than the change threshold in the management observation library with the corresponding administrators, and directly add the residents with a community service score higher than the default initial threshold in the management observation library to the administrator role.

[0054] In summary, by selecting whether to trigger the administrator expansion mechanism according to the adjustment status of the default initial threshold, it is beneficial to dynamically adjust the number of administrators and the management resource allocation according to the actual situation, which is conducive to coping with the changes in the scale of community resources and the resource needs of residents, and thus helps to quickly respond to emergencies or changes in community resource allocation.

[0055] Embodiment 2 The present invention discloses a community life resource allocation and management system based on multi-terminal collaboration, including a user role management module, an administrator evaluation module, a resident score and administrator role swap module, and a resource consumption and administrator expansion evaluation module: The user role management module is used to initialize user roles and assign corresponding functional permissions; The administrator evaluation module is used to regularly evaluate administrators to generate resource allocation scores; The resident score and administrator role swap module is used to generate a quality score according to the number of community service times and the number of management violations of residents, and perform role swapping according to the quality score of residents and the resource allocation score of administrators; A resource consumption and administrator expansion evaluation module, which is used to determine whether to trigger the administrator expansion mechanism according to the resource consumption situation and the changes of administrators.

[0056] In summary, through the clear division of user roles by the user role management module, residents and administrators can perform their respective duties. Residents focus on the use and feedback of resources, while administrators focus on the effective management and allocation of resources. Through the administrator evaluation module, by collecting and analyzing the feedback resources and response frequencies of residents, the work performance of administrators can be objectively and comprehensively evaluated, which helps to motivate administrators to improve service quality, thereby enhancing user satisfaction and trust. Through the design of the resident scoring and administrator role exchange module, residents are encouraged to actively participate in community management and improve their scores by volunteering and abiding by community rules. When the resident score reaches a certain level, they have the opportunity to exchange roles with administrators, which helps to cultivate residents' sense of responsibility and self-governance ability. Through the resource consumption and administrator expansion evaluation module, the resource allocation strategy can be dynamically adjusted according to the actual situation of the community to ensure the effective use of resources and avoid waste, and the scale of the management team can be adjusted in a timely manner to maintain the stability and efficiency of the management team.

[0057] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to obtain a formula closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0058] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product.

[0059] Those of ordinary skill in the art can realize that the modules and algorithm steps of each example described in combination with the embodiments disclosed in this article can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application of the technical solution and the invention constraints. Professionals can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0060] In addition, in each embodiment of the present application, the functional modules can be integrated in a processing module, or each module can exist physically alone, or two or more modules can be integrated in one module.

[0061] As described above, it is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claimed rights.

[0062] Finally, the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A community life resource allocation and management method based on multi - terminal collaboration, characterized in that; including, S1. Divide users into two different roles, residents and administrators, according to historical stored user tags; S2. Obtain the resource reservations of residents and randomly allocate them to different administrators for processing. Collect the feedback resources of residents on the processing results of administrators through a feedback form, compare the feedback resources with the keywords in the preset positive feedback dataset, count the positive feedback frequency, obtain the response frequency of administrators, and calculate the resource allocation scores of different administrators by combining the positive feedback frequency; S3. Obtain the number of community service times and the number of management violations of residents and generate a quality score. Include residents with a quality score higher than the default initial threshold in the management observation database. Swap the roles of residents and administrators in the management observation database according to the quality scores of residents and the resource allocation scores of administrators; S4. Count the new resident occupancy rate in the community and the number of times residents reserve resources, calculate the resource consumption rate, obtain the administrator replacement rate, comprehensively analyze the adjustment status of the default initial threshold by combining the resource consumption rate and the replacement rate, and select whether to trigger the administrator expansion mechanism according to the adjustment status of the initial threshold.

2. The method for allocating and managing community living resources based on multi-terminal collaboration according to claim 1, wherein: In S1, when dividing users, automatically assign corresponding tags to users through the community resource management mechanism. The community resource management mechanism authenticates identities by verifying the community administrator certificates of management team members, marks the certificate holders as "administrators", and non-certificate holders as "residents".

3. The method for allocating and managing community living resources based on multi-terminal collaboration according to claim 2, wherein: In S2, the feedback resources are the feedback keywords of residents on the processing results of administrators. Select a period of time as the feedback collection time. During the feedback collection time, match the feedback resources of residents with the same keywords in the preset positive feedback dataset. If the match is successful, perform a count, and count the results during the feedback collection time as the positive feedback frequency; The feedback form is a tool for data interaction with users, used to collect the feedback resources of residents during the feedback collection time; the positive feedback dataset includes the previously recorded positive feedback keywords.

4. The method for allocating and managing community living resources based on multi-terminal collaboration according to claim 3, wherein: In S2, obtain the number of login days and the number of times of responding to residents of administrators during the feedback collection time, and use the product of the number of login days and the number of times of responding to residents of administrators as the response frequency; Perform a weighted sum of the response frequency of administrators and the positive feedback frequency, and use the calculation result as the resource allocation score of administrators.

5. The method for allocating and managing community living resources based on multi-terminal collaboration according to claim 4, characterized in that: In S3, a weighted difference calculation is performed on the number of community service times and the number of violations of management for residents: J = Z × - W × ; where Z represents the number of times a resident participates in community volunteer services during the feedback collection time; W represents the number of times a resident violates community management during the feedback collection time; J is the resident score obtained through calculation; are the weights of Z and W respectively.

6. The community life resource allocation management method based on multi-terminal collaboration according to claim 5, characterized in that: In S3, the default initial threshold is the judgment condition set in historical data, used to compare the quality scores of residents; The management observation database is a database for monitoring and managing the quality of residents and the resource allocation of administrators, and perform an equal exchange between the residents and administrators in the management observation database; Count the number of residents in the management observation database, sort the administrators in ascending order according to the resource allocation scores, screen out the same number of administrators as the number of residents according to the sorting order for marking, and randomly swap the roles of the marked administrators with the residents in the management observation database.

7. A method for allocating and managing community life resources based on multi-terminal collaboration according to claim 5, characterized in that: In S4, count the new resident occupancy rate in the community and the number of times residents reserve resources during the feedback collection time, and calculate the resource consumption rate through a linear regression model; Obtain the number of times of role swapping between residents and administrators within the feedback collection time and the total number of administrators, and use the ratio of the number of role swaps to the total number of administrators as the administrator replacement rate; Evaluate the adjustment status of the default initial threshold through fuzzy inference. The specific steps are as follows: Step 1, Define the resource consumption rate and the administrator replacement rate as input variables and divide them into different fuzzy sets respectively; Step 2, Define the adjustment status of the default initial threshold as the output variable and divide it into fuzzy sets; Step 3, Formulate a set of fuzzy rules to describe the impact of the resource consumption rate and the administrator replacement rate on the adjustment status of the default initial threshold; Step 4, Conduct fuzzy inference according to the fuzzy rules, and divide the adjustment status of the default initial threshold into increase or decrease according to the fuzzy inference result; When the adjustment status of the default initial threshold is in the decreasing state, reduce the default initial threshold and trigger the administrator expansion mechanism.

8. A method for allocating and managing community living resources based on multi-terminal collaboration according to claim 5, characterized in that: In S4, calculate the default initial threshold after reduction processing through the percentile method according to the resource consumption rate and the administrator replacement rate: , where L is the default initial threshold, is the resource consumption rate, is the administrator replacement rate, C is the preset harmonic percentage, is the default initial threshold after reduction processing, and is used as the change threshold; The administrator expansion mechanism is as follows: After classifying the residents with a community service score higher than the change threshold into the management observation library, swap the roles of the residents with a community service score lower than the default initial threshold but higher than the change threshold in the management observation library with the corresponding administrators, and directly add the residents with a community service score higher than the default initial threshold in the management observation library to the administrator role.

9. A community life resource allocation and management system based on multi - terminal collaboration, which is used to implement a community life resource allocation and management method based on multi - terminal collaboration described in any one of claims 1 - 6, characterized in that: It includes a user role management module, an administrator evaluation module, a resident score and administrator role swapping module, and a resource consumption and administrator expansion evaluation module: The user role management module is used to initialize user roles and assign corresponding functional permissions; The administrator evaluation module is used to regularly evaluate administrators to generate resource allocation scores; The resident score and administrator role swapping module is used to generate a quality score based on the number of community service times and the number of management violations of residents, and conduct role swapping based on the quality score of residents and the resource allocation score of administrators; The resource consumption and administrator expansion evaluation module is used to decide whether to trigger the administrator expansion mechanism according to the resource consumption situation and the administrator change situation.

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