Smart campus management system

Abstract

The invention relates to the technical field of campus management, in particular to an intelligent campus management system. Comprising an activity acquisition module, an activity risk analysis module, an activity sponsoring management module and an activity comprehensive management module, and the activity acquisition module is used for acquiring campus activity information; the activity risk analysis module is used for receiving and analyzing campus activity information and determining activity risks; the activity sponsorship management module is used for receiving and analyzing campus activity information and determining an adaptive item list; based on the adaptive item list, calling and analyzing sponsorship alternative information, and determining a sponsorship risk of alternative sponsorship; and the activity integrated management module is used for acquiring an activity risk and a sponsorship risk, and respectively generating an activity prompt and a sponsorship prompt according to the activity risk and the sponsorship risk. Information islands are avoided, the overall response speed is improved, decision making is assisted, visual transmission of risk information is achieved, and management efficiency and response timeliness are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of campus management, and in particular to a smart campus management system. BACKGROUND

[0002] With the deepening of the construction of smart campus, the organization and management of campus activities are increasingly frequent and diverse, covering academic lectures, artistic performances, sports competitions, community activities and other spontaneous and index activities. At the same time, campus activities are also an important part of the cultivation of students' practical ability and the construction of campus culture.

[0003] However, the existing campus management system often lacks constraints and management of campus activities, so that the existing campus management mode, especially in the aspect of student self-organized activities, has many urgent problems to be solved, such as not knowing how to effectively apply for a venue, borrow equipment or obtain necessary teacher guidance and cooperation. Many valuable activities are difficult to start or have poor effects due to the inability to successfully solve resource coordination problems. This not only limits the students' practice opportunities, but also causes the idle or conflict use of campus resources. SUMMARY

[0004] The present application provides a smart campus management system to solve the above problems.

[0005] In a first aspect, the present application provides a smart campus management system, which comprises an activity acquisition module, an activity risk analysis module, an activity sponsorship management module and an activity comprehensive management module. The activity acquisition module and the activity comprehensive management module are connected to the activity risk analysis module and the activity sponsorship management module, respectively. The activity acquisition module is used to acquire campus activity information. The activity risk analysis module is used to receive and analyze the campus activity information to determine the activity risk. The activity sponsorship management module is used to receive and analyze the campus activity information to determine an adapted project list; based on the adapted project list, to retrieve and analyze sponsorship candidate information to determine the sponsorship risk of the candidate sponsorship. The activity comprehensive management module is used to acquire the activity risk and the sponsorship risk, and to generate an activity reminder and a sponsorship reminder according to the activity risk and the sponsorship risk, respectively.

[0006] By the scheme, the activity acquisition module and the activity comprehensive management module are connected with the activity risk analysis module and the activity sponsorship management module respectively, the activity acquisition module is used to acquire campus activity information, provide standardized campus activity information input, avoid data missing or inconsistent format, realize centralized management of campus activity information, improve processing efficiency, and ensure that the activity risk analysis module and the activity sponsorship management module can start work in real time. The activity risk analysis module is used to receive and analyze campus activity information, determine activity risk, realize automatic evaluation of risk, reduce human judgment error, ensure rapid response to potential problems, and improve the safety of campus activity management. The activity sponsorship management module is used to receive and analyze campus activity information, determine an adaptive project list, improve the accuracy of sponsorship matching, reduce information search time, and ensure that the sponsorship management process is efficient and highly targeted. Based on the adaptive project list, the sponsorship candidate information is retrieved and analyzed, the sponsorship risk of the candidate sponsorship is determined, potential legal or financial risks are identified, and the possibility of sponsorship-related disputes is reduced. The activity comprehensive management module is used to acquire activity risk and sponsorship risk, and generate activity reminders and sponsorship reminders according to activity risk and sponsorship risk, realize data synchronization between modules, avoid information silos, improve overall response speed; and then provide immediate operation guidance, avoid risks, assist decision-making, reduce negative impact after sponsorship acceptance, realize visual delivery of risk information, and improve management efficiency and response timeliness.

[0007] Optionally, when the activity risk analysis module analyzes the campus activity information to determine the activity risk, it is used for: analyzing the campus activity information to determine the activity type and the activity time; analyzing the activity type to determine the activity leader information and the participant restriction; determining the management personnel capability according to the activity leader information; based on the activity time, retrieving campus course information, and determining the personnel participation degree according to the campus course information and the participant restriction; determining the activity risk according to the management personnel capability and the personnel participation degree.

[0008] By the scheme, the campus activity information is analyzed to determine the activity type and the activity time, avoiding evaluation deviation caused by information missing. The activity type is analyzed to determine the activity leader information and the participant restriction, providing parameters of organizer capability and scale constraint for risk evaluation. The management personnel capability is determined according to the activity leader information, quantifying the management experience of the activity organizer. Based on the activity time, the campus course information is retrieved, and the personnel participation degree is determined according to the campus course information and the participant restriction, reflecting the influence of the conflict between the activity time and the student course arrangement on the personnel participation degree. The activity risk is determined according to the management personnel capability and the personnel participation degree, reflecting the reliability of the organization and the feasibility of the activity.

[0009] Optionally, when the activity sponsorship management module analyzes the sponsorship candidate information and determines the sponsorship risk of the candidate sponsorship, it is used for: analyzing the sponsorship candidate information and determining the sponsorship type and contract terms; analyzing the sponsorship type and determining the product positioning; analyzing the contract terms and determining potential contract pitfalls; determining the sponsorship risk of the candidate sponsorship according to the product positioning and the potential contract pitfalls.

[0010] Through the scheme, the sponsorship type and the contract terms are determined by analyzing the sponsorship candidate information, so that the core elements of the sponsorship candidate information are separated and clarified. The product positioning is determined by analyzing the sponsorship type, so that the characteristics of the products or services of the sponsor are specified, and it is identified whether the sponsorship content meets the potential needs or risk standards of the campus activities. The potential contract pitfalls are determined by analyzing the contract terms, so that the risk points in the contract are exposed, and the legal or financial hidden dangers are visualized, thereby providing a basis for risk assessment. The sponsorship risk of the candidate sponsorship is determined according to the product positioning and the potential contract pitfalls, thereby providing a quantitative or classified result for decision-making, and guiding whether to accept the sponsorship to reduce the overall risk.

[0011] Optionally, the activity risk analysis module further comprises an activity recommendation unit, which is used for: determining a group to be involved according to the activity type; analyzing the free time of the group to be involved according to the campus course information; generating an activity time schedule according to the free time and the activity time.

[0012] Through the scheme, the group to be involved is determined according to the activity type, so that the core target audience attracted by the activity is ensured. The free time of the group to be involved is analyzed according to the campus course information, so that the free time of the group is quantified, and the conflict with the courses is avoided, thereby providing data support for activity time optimization. The activity time schedule is generated according to the free time and the activity time, thereby reducing the risk of time conflict.

[0013] Optionally, when the activity sponsorship management module analyzes the campus activity information and determines the adaptive project list, it is used for: analyzing the campus activity information and determining activity reporting information; and determining the activity scale according to the activity reporting information; obtaining the activity type, and determining the activity use amount according to the activity type and the activity scale; determining the sponsorship quota and the sponsorship type according to the activity type and the activity use amount; determining the adaptive project list according to the sponsorship quota and the sponsorship type.

[0014] By the scheme, the campus activity information is analyzed, the activity report information is determined, the information ambiguity is reduced, and the activity report information is ensured as the initial basis for decision-making. According to the activity report information, the activity scale is determined, the range and resource demand of the activity are quantified, the deviation of subjective judgment is avoided, and the accurate determination of the activity use amount is supported. The activity type is obtained, the activity use amount is determined according to the activity type and the activity scale, the quantification of the fund demand is realized, the automation and consistency of the amount calculation are ensured, the data support is provided for the allocation of the sponsorship number and the sponsorship type, and the error of manual estimation is avoided. According to the activity type and the activity use amount, the sponsorship number and the sponsorship type are determined, the uncertainty in the matching process is reduced, and the explicit screening condition is provided for screening the sponsor. According to the sponsorship number and the sponsorship type, the adaptive project list is determined, the efficient matching of the sponsorship demand and supply is realized, and the information barrier problem is eliminated.

[0015] Optionally, the activity risk includes the number of participants risk, the sponsorship risk includes the publicity risk, and when the activity risk and the sponsorship risk are used for respectively generating the activity reminder and the sponsorship reminder, the activity risk and the sponsorship risk are used for: When the activity risk is the number of participants risk, the campus activity information is analyzed, and the activity site is determined. According to the number of participants risk and the activity site, the crowd evacuation scheme is determined. According to the crowd evacuation scheme, the activity reminder is generated. When the sponsorship risk is the publicity risk, the adaptive age group is determined according to the product positioning. The product positioning is analyzed, and the use adaptation degree of the product in the campus is determined. According to the adaptive age group and the use adaptation degree, the sponsorship reminder is generated.

[0016] By the scheme, when the activity risk is the number of participants risk, the campus activity information is analyzed, the activity site is determined, the risk processing is ensured to be based on the actual site data, the basis position for the development of the crowd evacuation scheme is provided, and the safety hidden danger caused by the unclear site is avoided. According to the number of participants risk and the activity site, the crowd evacuation scheme is determined to cope with potential safety problems and ensure that the activity organizers plan safety management measures in advance. According to the crowd evacuation scheme, the activity reminder is generated, so that the activity organizers receive the guidance information in time, promote the implementation of the evacuation scheme in the activity, and improve the on-site safety and risk response efficiency. When the sponsorship risk is the publicity risk, according to the product positioning, the appropriate age crowd is determined, the audience range of the sponsored product is clear, the demographic basis for the use adaptation analysis is provided, and the sponsorship evaluation is ensured to focus on the actual crowd characteristics of the campus. The product positioning is analyzed, the use adaptation degree of the product in the campus is determined, potential risks are identified, and objective standards are provided for sponsorship decision-making. According to the appropriate age crowd and the use adaptation degree, the sponsorship reminder is generated, so that the sponsorship managers know the risk information in time, assist in sponsorship approval or adjustment, and reduce publicity-related risks.

[0017] Optionally, when the activity sponsorship management module determines the adaptation project list according to the sponsorship quota and the sponsorship type, it is used for: analyzing the campus activity information to determine personnel information of activity organizers; predicting activity organizing ability of the activity organizers according to the personnel information; determining activity exercise angles according to the activity organizing ability; determining an adaptation project list according to the activity exercise angles, the sponsorship quota and the sponsorship type.

[0018] By the scheme, the campus activity information is analyzed, the personnel information of the activity organizers is determined, and the information of the activity organizers is ensured to be clear and structured. According to the personnel information, the activity organizing ability of the activity organizers is predicted, the dimensions such as organization and coordination and risk processing are reflected, and the basis for determining the activity exercise angles is provided. According to the activity organizing ability, the activity exercise angles are determined, the exercise direction of the activity is clear, and the activity organizing ability prediction is converted into different dimensions. According to the activity exercise angles, the sponsorship quota and the sponsorship type, the adaptation project list is determined, and the sponsorship project is ensured to be accurately aligned with the activity demand.

[0019] Optionally, the activity comprehensive management module further includes an activity monitoring unit, configured to: obtain real-time monitoring data of an activity site; analyze the real-time monitoring data to determine a site state; generate a real-time reminder according to the site state.

[0020] The real-time monitoring data of the activity site is acquired, and comprehensiveness and timeliness of site state judgment basis is ensured. The real-time monitoring data is analyzed, the site state is determined, asset damage responsibility is avoided, and the defect of lack of risk assessment ability of students is made up. According to the site state, real-time reminders are generated, the problem of missing early warning mechanism is eliminated, and risk escalation caused by information transmission delay is avoided.

[0021] Optionally, when the activity monitoring unit analyzes the real-time monitoring data and determines the site state, it is used for: According to the campus activity information, the key node of the activity is determined; According to the real-time monitoring data and the activity site, the attention demand of the key node of the activity is determined; Based on the attention demand, the real-time monitoring data of the key node of the activity is analyzed, and the site state is determined.

[0022] According to the campus activity information, the key node of the activity is determined, the analysis process is ensured to be carried out on the important part of the activity, and blind processing of monitoring data is avoided. According to the real-time monitoring data and the activity site, the attention demand of the key node of the activity is determined, the processing of real-time monitoring data is ensured to be only for related demand, and the analysis efficiency is improved. Based on the attention demand, the real-time monitoring data of the key node of the activity is analyzed, and the site state is determined, so that the real-time evaluation of the current situation of the activity is realized.

[0023] In a second aspect, the present application provides a smart campus management method, which comprises: Obtaining campus activity information; Analyzing the campus activity information to determine the activity risk; Analyzing the campus activity information to determine the adaptive project list; based on the adaptive project list, the sponsor candidate information is called and analyzed to determine the sponsorship risk of the candidate sponsor; According to the activity risk and the sponsorship risk, an activity reminder and a sponsorship reminder are generated respectively.

[0024] Optionally, the analysis of the campus activity information to determine the activity risk comprises: Analyzing the campus activity information to determine the activity type and the activity time; Analyzing the activity type to determine the activity leader information and the participant restriction; According to the activity leader information, the management personnel ability is determined; Based on the activity time, the campus course information is called, and the personnel participation degree is determined according to the campus course information and the participant restriction; According to the management personnel ability and the personnel participation degree, the activity risk is determined.

[0025] Optionally, the analyzing the sponsorship candidate information to determine a sponsorship risk of the candidate sponsorship comprises: analyzing the sponsorship candidate information to determine a sponsorship type and a contract term; analyzing the sponsorship type to determine a product positioning; analyzing the contract term to determine a potential contract trap; determining the sponsorship risk of the candidate sponsorship according to the product positioning and the potential contract trap.

[0026] Optionally, the method further comprises: determining a group of people who want to participate according to the activity type; analyzing free time of the group of people who want to participate according to the campus course information; generating an activity time schedule according to the free time and the activity time.

[0027] Optionally, the analyzing the campus activity information to determine an adaptation project list comprises: analyzing the campus activity information to determine activity report information; and determining an activity scale according to the activity report information; obtaining the activity type, and determining an activity use amount according to the activity type and the activity scale; determining a sponsorship number and a sponsorship type according to the activity type and the activity use amount; determining the adaptation project list according to the sponsorship number and the sponsorship type.

[0028] Optionally, the activity risk comprises a number of participants risk, the sponsorship risk comprises a publicity risk, and the generating an activity reminder and a sponsorship reminder according to the activity risk and the sponsorship risk respectively comprises: when the activity risk is the number of participants risk, analyzing the campus activity information to determine an activity site; determining a crowd evacuation scheme according to the number of participants risk and the activity site; generating the activity reminder according to the crowd evacuation scheme; when the sponsorship risk is the publicity risk, determining an age-appropriate crowd according to the product positioning; analyzing the product positioning to determine a use adaptation degree of the product in the campus; generating the sponsorship reminder according to the age-appropriate crowd and the use adaptation degree.

[0029] Optionally, the determining the adaptation project list according to the sponsorship number and the sponsorship type comprises: analyzing the campus activity information to determine personnel information of an activity organizer; According to the personnel information, an activity hosting capability of the activity host is predicted; According to the activity hosting capability, an activity exercise angle is determined; According to the activity exercise angle, the sponsorship quota and the sponsorship type, an adaptation project list is determined.

[0030] Optionally, the method further comprises: Real-time monitoring data of the activity site is acquired; the real-time monitoring data is analyzed to determine a site state; According to the site state, real-time reminding is generated.

[0031] Optionally, the analyzing the real-time monitoring data to determine the site state comprises: According to the campus activity information, an activity key node is determined; According to the real-time monitoring data and the activity site, a concern demand of the activity key node is determined; Based on the concern demand, the real-time monitoring data of the activity key node is analyzed to determine a site state. BRIEF DESCRIPTION OF DRAWINGS

[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0033] Figure 1 An application scenario schematic diagram provided by an embodiment of the present application; Figure 2 A structure schematic diagram of a smart campus management system provided by an embodiment of the present application; Figure 3 A flowchart of a smart campus management method provided by an embodiment of the present application. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0035] In addition, the term "and / or", only describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. In addition, the character " / " in this paper, unless otherwise specified, generally represents an "or" relationship between the associated objects before and after it.

[0036] The embodiments of the present application will be further described in detail below with reference to the accompanying drawings of the specification.

[0037] The existing campus management system often lacks constraints and management of campus activities, making the existing campus management mode, especially in terms of student self-organized activities, have many pain points to be solved, such as not knowing how to effectively apply for a venue, borrow equipment, or obtain necessary teacher guidance and cooperation. Many valuable activities are difficult to start or have poor effects due to the inability to successfully solve resource coordination problems. This not only limits the students' practice exercise opportunities, but also causes campus resources to be idle or conflictively used.

[0038] Based on this, the present application provides a smart campus management system, an activity obtaining module is used to obtain campus activity information, provides standardized campus activity information input, avoids data missing or inconsistent formats, realizes centralized management of campus activity information, improves processing efficiency, ensures that the activity risk analysis module and the activity sponsorship management module can start work in real time. The activity risk analysis module is used to receive and analyze campus activity information, determine activity risk, realize automatic evaluation of risk, reduce human judgment error, ensure rapid response to potential problems, and improve the safety of campus activity management. The activity sponsorship management module is used to receive and analyze campus activity information, determine an adaptive project list, improve the accuracy of sponsorship matching, reduce information search time, and ensure that the sponsorship management process is efficient and highly targeted. Based on the adaptive project list, the sponsorship candidate information is retrieved and analyzed, the sponsorship risk of the candidate sponsorship is determined, potential legal or financial risks are identified, and the possibility of sponsorship-related disputes is reduced. The activity comprehensive management module is used to obtain activity risk and sponsorship risk, and generate activity reminders and sponsorship reminders according to activity risk and sponsorship risk, realize data synchronization between modules, avoid information silos, improve overall response speed; further provide immediate operation guidance, avoid risks, assist decision-making, reduce negative effects after sponsorship acceptance, realize visual delivery of risk information, and improve management efficiency and response timeliness.

[0039] Figure 1 An application scenario provided by the present application is provided, which is used when performing smart campus management.

[0040] Specifically, the method provided by the application is applied to any kind of smart campus management system, the campus management system is connected with a student device, campus activity information submitted by the student device is acquired, centralized management of the campus activity information is realized, processing efficiency is improved, potential problems are ensured to be responded quickly, and the safety of campus activity management is improved. The campus activity information is analyzed, a list of adaptive projects is determined, the accuracy of sponsorship matching is improved, information search time is reduced, and the sponsorship management process is ensured to be efficient and highly targeted. Based on the list of adaptive projects, sponsorship candidate information is retrieved and analyzed, sponsorship risks of the candidate sponsorship are determined, potential legal or financial risks are identified, the possibility of sponsorship-related disputes is reduced, activity reminders and sponsorship reminders are respectively generated, risks are avoided, decision-making is assisted, negative effects after sponsorship acceptance are reduced, visual delivery of risk information is realized, and management efficiency and response timeliness are improved. The specific implementation mode can refer to the following embodiments.

[0041] Figure 2 A structural schematic diagram of a smart campus management system provided by an embodiment of the application, the smart campus management system 200 of the embodiment includes an activity acquisition module 201, an activity risk analysis module 202, an activity sponsorship management module 203, and an activity comprehensive management module 204. The activity acquisition module 201 and the activity comprehensive management module 204 are respectively connected with the activity risk analysis module 202 and the activity sponsorship management module 203. The activity acquisition module 201 is configured to acquire campus activity information. The activity risk analysis module 202 is configured to receive and analyze the campus activity information and determine activity risks. The activity sponsorship management module 203 is configured to receive and analyze the campus activity information, determine a list of adaptive projects, retrieve and analyze sponsorship candidate information based on the list of adaptive projects, and determine sponsorship risks of the candidate sponsorship. The activity comprehensive management module 204 is configured to acquire the activity risks and the sponsorship risks, and generate activity reminders and sponsorship reminders respectively according to the activity risks and the sponsorship risks.

[0042] The campus activity information can be campus activity-related data submitted by a student.

[0043] The activity risks can be quantitative indicators of potential risks of an activity. The activity risks include a number of participants.

[0044] The list of adaptive projects can be a set of sponsorship projects that match the needs of an activity.

[0045] The sponsorship candidate information can be potential sponsorship data provided by a sponsor.

[0046] The candidate sponsorship can be a potential sponsorship project or a sponsor.

[0047] Sponsor risk can be a quantitative indicator of potential risks of sponsorship. Sponsor risk includes publicity risk.

[0048] Activity reminder can be an early warning message generated based on activity risk.

[0049] Sponsor reminder can be an early warning message generated based on sponsor risk.

[0050] Specifically, the activity acquisition module 201 is connected with the activity risk analysis module 202 and the activity sponsorship management module 203; at the same time, the activity comprehensive management module 204 is connected with the activity risk analysis module 202 and the activity sponsorship management module 203. The activity acquisition module 201 receives the campus activity information submitted by the students; then, the campus activity information is transmitted to the connected activity risk analysis module 202 and the activity sponsorship management module 203 in real time. Subsequently, the campus activity information is analyzed by the activity risk analysis module 202, and the number of expected participants obtained by the activity organizer when submitting the campus activity information is compared with the venue capacity data obtained from the campus resource database. If the number of participants exceeds the limit, it is marked as a safety risk; at the same time, the activity time obtained by the activity organizer when submitting the campus activity information is compared with the campus timetable database. If the time overlaps, it is marked as a conflict risk; further, the safety risk and the conflict risk are integrated to determine the activity risk; then, the activity risk analysis module 202 transmits the activity risk to the connected activity comprehensive management module 204. Subsequently, the activity attributes of the campus activity information are analyzed by the activity sponsorship management module 203, and matched with the sponsorship project database; further, based on the matching rules, the sponsorship projects suitable for the activity are screened out to form an adaptation project list. Subsequently, the sponsor data related to the adaptation project list is queried from the sponsorship candidate information library; further, the sponsorship compliance is reviewed, the risk is evaluated through the rule engine, and the contract clause risk is identified, so as to determine the sponsorship risk of the candidate sponsorship; then, the activity sponsorship management module 203 stores the sponsorship risk in the sponsorship risk table in the database, and transmits it to the connected activity comprehensive management module 204. Subsequently, based on the risk management theory, the preset reminder rules are set according to the risk level division and decision support principle; then, the activity risk is analyzed, and the activity reminder in text form is generated combined with the preset reminder rules; at the same time, the sponsorship risk is analyzed, and the sponsorship reminder in text form is generated combined with the preset reminder rules; finally, the activity comprehensive management module 204 outputs the generated activity reminder and sponsorship reminder to the interactive interface, and records the log.

[0051] By the scheme, the activity acquisition module is used to acquire campus activity information, provide standardized campus activity information input, avoid data missing or inconsistent format, realize centralized management of campus activity information, improve processing efficiency, and ensure that the activity risk analysis module and the activity sponsorship management module can start work in real time. The activity risk analysis module is used to receive and analyze campus activity information, determine activity risk, realize automatic evaluation of risk, reduce human judgment error, ensure rapid response to potential problems, and improve the safety of campus activity management. The activity sponsorship management module is used to receive and analyze campus activity information, determine an adaptive project list, improve the accuracy of sponsorship matching, reduce information search time, and ensure efficient and targeted sponsorship management process. Based on the adaptive project list, the sponsorship candidate information is retrieved and analyzed, the sponsorship risk of the candidate sponsorship is determined, potential legal or financial risks are identified, and the possibility of sponsorship-related disputes is reduced. The activity comprehensive management module is used to acquire activity risk and sponsorship risk, and generate activity reminders and sponsorship reminders according to activity risk and sponsorship risk, realize data synchronization between modules, avoid information silos, improve overall response speed; further provide immediate operation guidance, avoid risks, assist decision-making, reduce negative impact after sponsorship acceptance, realize visual delivery of risk information, and improve management efficiency and response timeliness.

[0052] In some embodiments, the campus activity information is analyzed to determine the activity type and the activity time; the activity type is analyzed to determine the activity leader information and the participant limit; the activity leader information is used to determine the management personnel capability; based on the activity time, the campus course information is retrieved, and based on the campus course information and the participant limit, the personnel participation level is determined; and based on the management personnel capability and the personnel participation level, the activity risk is determined.

[0053] The activity type can be a classification attribute of the activity.

[0054] The activity time can be a specific date and start and end time of the activity.

[0055] The activity leader information can be related information of an activity responsible person.

[0056] The participant limit can be the maximum number of participants allowed by the activity.

[0057] The management personnel capability can be the capability level of the management personnel.

[0058] The campus course information can be data of school course arrangement.

[0059] The personnel participation level can be the actual participation level of the personnel.

[0060] Specifically, the campus activity information is parsed by the activity risk analysis module 202, and the activity type and activity time are extracted by string matching. Then, based on the activity type, the activity type database constructed by the activity classification system and its associated rules is queried, the corresponding rules are matched according to the activity type, and the activity leader information and the participant restriction are determined. Subsequently, based on the activity leader information, the management personnel capability database constructed by the historical activity records is queried, and the management personnel capability is searched according to the activity leader information. Further, based on the activity time, the campus course database interface connected with the school education is called, a time range request is sent, and the campus course information is obtained; then, the activity time is compared with the course time in the campus course information to identify the time conflict; subsequently, the personnel participation degree is determined according to the time conflict and the participant restriction. Finally, the management personnel capability and the personnel participation degree are integrated, the activity risk is evaluated by the built-in rule engine.

[0061] By the scheme, the campus activity information is analyzed to determine the activity type and the activity time, so as to avoid the evaluation deviation caused by the information loss. The activity type is analyzed to determine the activity leader information and the participant restriction, so as to provide the organizer capability and the scale constraint parameters for the risk evaluation. According to the activity leader information, the management personnel capability is determined to quantify the management experience of the activity organizer. Based on the activity time, the campus course information is called to determine the personnel participation degree according to the campus course information and the participant restriction, so as to reflect the influence of the conflict degree between the activity time and the student course arrangement on the personnel participation degree. According to the management personnel capability and the personnel participation degree, the activity risk is determined to reflect the organization reliability and the activity feasibility.

[0062] In some embodiments, the sponsorship candidate information is analyzed to determine the sponsorship type and the contract terms; the sponsorship type is analyzed to determine the product positioning; the contract terms are parsed to determine the potential contract pitfalls; and the sponsorship risk of the candidate sponsorship is determined according to the product positioning and the potential contract pitfalls.

[0063] The sponsorship type can be a specific form classification of the support provided by the sponsor.

[0064] The contract terms can be the legally binding text content in the agreement signed by the sponsor and the activity organizer.

[0065] The product positioning can be the target audience characteristics of the product / service promoted by the sponsor.

[0066] The potential contract pitfalls can be the hidden risk clause type in the contract terms.

[0067] Specifically, based on the sponsorship candidate information, a line-by-line scan is performed through a string matching algorithm, the fields related to the sponsorship type are identified and extracted, and the sponsorship type is determined; at the same time, the contract terms are identified and extracted. Then, the mapping table of sponsorship type and product positioning is queried, and the corresponding product positioning is retrieved according to the sponsorship type. Further, using natural language processing technology, the risk indicating words in the contract terms are segmented and scanned, and the potential contract pitfalls are identified and marked. Finally, based on the rule engine theory, the built-in evaluation rules are applied, and the product positioning is compared with the potential contract pitfalls through the preset logic; then, according to the comparison result, the sponsorship risk of the candidate sponsorship is determined.

[0068] Through the scheme, the sponsorship candidate information is analyzed, the sponsorship type and the contract terms are determined, and the core elements of the sponsorship candidate information are separated and clarified. The sponsorship type is analyzed, the product positioning is determined, the product or service characteristics of the sponsor are specified, and it is determined whether the sponsorship content meets the potential needs or risk standards of the campus activities. The contract terms are parsed, the potential contract pitfalls are determined, the risk points in the contract are exposed, and the legal or financial risks are visualized, providing a basis for risk assessment. According to the product positioning and the potential contract pitfalls, the sponsorship risk of the candidate sponsorship is determined, and a quantitative or classified result is provided for decision-making, guiding whether to accept the sponsorship to reduce the overall risk.

[0069] In some embodiments, according to the activity type, a group of target participants is determined; according to the campus course information, the free time of the target participant group is analyzed; and according to the free time and the activity time, an activity schedule is generated.

[0070] The target participant group can be a set of target participants who have potential interest in the activity type.

[0071] The free time can be an available time period of the target participant group under the constraint of the campus course information.

[0072] The activity schedule can be an optimized activity time scheme.

[0073] Specifically, the activity type is compared with the entries in the group mapping database that stores the activity type and the target participant group through string matching, and the corresponding target participant group is extracted. Then, based on the target participant group, the campus course information is accessed, and the course table data of the target participant group is retrieved; and the course time is scanned to identify the course gaps and the non-course days, and the free time of the target participant group is determined. Subsequently, the free time is compared with the activity time, if the activity time is within the interval of the free time, the activity time is directly taken as the activity schedule; if the activity time is not within the interval of the free time, the closest available time period in the free time list is found, and the activity time is adjusted to match the free time, and the activity schedule is generated.

[0074] According to the activity type, the activity participation group is determined, the core audience attracted by the activity is ensured, the idle time of the activity participation group is analyzed according to the campus course information, the idle time of the group is quantified, the conflict with the course is avoided, and data support is provided for activity time optimization. According to the idle time and the activity time, the activity time table is generated, and the risk of time conflict is reduced.

[0075] In some embodiments, the campus activity information is parsed to determine activity reporting information; the activity scale is determined according to the activity reporting information; the activity type is obtained, and the activity use amount is determined according to the activity type and the activity scale; the sponsorship quota and the sponsorship type are determined according to the activity type and the activity use amount; and the adaptive project list is determined according to the sponsorship quota and the sponsorship type.

[0076] The activity reporting information can be activity declaration data.

[0077] The activity scale can be a scale level division of the activity.

[0078] The activity use amount can be a fund amount value required by the activity.

[0079] The sponsorship quota can be a number value of sponsors required by the activity.

[0080] Specifically, based on the campus activity information, the natural language processing technology is used to extract the reporting related data in the campus activity information through keywords, so as to determine the activity reporting information. Then, based on the activity reporting information, the decision tree query logic is used to apply the preset condition rule for data mapping and classification to determine the activity scale. Then, the activity type is obtained from the campus activity information; then, the activity type and the activity scale are combined to associate the activity attribute and the scale to the amount configuration table through key value mapping to determine the corresponding activity use amount. Then, based on the activity type and the activity use amount, the sponsorship rule library is queried, and the parameter matching is performed using the conditional statement and the logic rule to determine the sponsorship quota and the sponsorship type. Finally, based on the sponsorship quota and the sponsorship type, the adaptive project list is determined by scanning the sponsorship project database through the matching mechanism.

[0081] By the scheme, campus activity information is analyzed, activity report information is determined, information ambiguity is reduced, and the activity report information is ensured as the initial basis for decision-making. According to the activity report information, the activity scale is determined, the range and resource demand of the activity are quantified, the deviation of subjective judgment is avoided, and the accurate determination of the activity use amount is supported. The activity type is obtained, the activity use amount is determined according to the activity type and the activity scale, the quantification of the fund demand is realized, the automation and consistency of the amount calculation are ensured, the data support for the allocation of the sponsorship number and the sponsorship type is provided, and the error of manual estimation is avoided. According to the activity type and the activity use amount, the sponsorship number and the sponsorship type are determined, the uncertainty in the matching process is reduced, and explicit screening conditions are provided for screening sponsors. According to the sponsorship number and the sponsorship type, the adaptive project list is determined, efficient matching of sponsorship demand and supply is realized, and the information barrier problem is eliminated.

[0082] In some embodiments, when the activity risk is the number of participants risk, the campus activity information is analyzed, and the activity site is determined; according to the number of participants risk and the activity site, the crowd evacuation scheme is determined; according to the crowd evacuation scheme, the activity reminder is generated; when the sponsorship risk is the promotion risk, the appropriate age group is determined according to the product positioning; the product positioning is analyzed to determine the use adaptation degree of the product in the campus; and the sponsorship reminder is generated according to the appropriate age group and the use adaptation degree.

[0083] The number of participants risk can be a safety hazard or an effect risk caused by too many or too few participants in the activity.

[0084] The activity site can be a specific physical location where the activity is held.

[0085] The crowd evacuation scheme can be an evacuation plan and measures designed to deal with the risk of crowd congestion.

[0086] The promotion risk can be a matching risk caused by the sponsorship product in the campus promotion.

[0087] The appropriate age group can be the target age group or the crowd group suitable for the product positioning.

[0088] The product can be a commodity provided by the sponsor.

[0089] The campus can be a school environment.

[0090] The use adaptation degree can be an evaluation of the suitability of the product in the campus environment.

[0091] Specifically, when the activity risk is the number of participants risk, based on the campus activity information, entities are extracted through text preprocessing; further, the campus activity information is parsed using natural language processing techniques to determine the activity venue. Then, based on the number of participants risk and the activity venue, the evacuation scheme database established through historical safety data and campus evacuation standards is queried to determine the crowd evacuation scheme. Further, through the string template engine constructed by the string formatting library, the crowd evacuation scheme is embedded into the preset reminder template established based on the message template to generate the activity reminder. When the sponsorship risk is the promotion risk, according to the product positioning, the age statistics in the student database established by integrating the student age statistical data in the school information are determined to determine the age-appropriate crowd. Then, it is checked whether the product positioning conforms to the campus policy rule library established by encoding the compliance rules in the school policy document, and the use adaptation degree of the product in the campus is evaluated through the logical judgment built by the Boolean logic and decision tree evaluation. Finally, using the conditional statement of the programming language, the age-appropriate crowd and the adaptation degree information are combined into text content to generate the sponsorship reminder.

[0092] Through the scheme, when the activity risk is the number of participants risk, the campus activity information is parsed to determine the activity venue, ensuring that the risk handling is based on actual venue data, providing a basic location basis for the development of crowd evacuation schemes, and avoiding potential safety hazards due to unclear venues. According to the number of participants risk and the activity venue, the crowd evacuation scheme is determined to address potential safety issues and ensure that activity organizers plan safety management measures in advance. According to the crowd evacuation scheme, the activity reminder is generated to enable activity organizers to receive guidance information in a timely manner, prompting the implementation of evacuation schemes during activities, and improving on-site safety and risk response efficiency. When the sponsorship risk is the promotion risk, according to the product positioning, the age-appropriate crowd is determined to clarify the target audience of the sponsored product, providing demographic data for use adaptation analysis and ensuring that sponsorship evaluation focuses on the actual characteristics of the campus crowd. Analyzing the product positioning determines the use adaptation degree of the product in the campus, identifying potential risks and providing objective standards for sponsorship decisions. According to the age-appropriate crowd and the use adaptation degree, the sponsorship reminder is generated to enable sponsorship managers to promptly learn about risk information, assisting in sponsorship approval or adjustment, and reducing promotion-related risks.

[0093] In some embodiments, the campus activity information is parsed to determine personnel information of the activity organizers; based on the personnel information, the activity organizing ability of the activity organizers is predicted; based on the activity organizing ability, the activity exercise angle is determined; and based on the activity exercise angle, the sponsorship quota and the sponsorship type, a list of suitable projects is determined.

[0094] The activity organizers can be personnel who organize campus activities.

[0095] The personnel information can be structured data including the name, contact information, historical activity records, etc. of the activity organizers.

[0096] Event organization capability can refer to the competence level of the event organizers.

[0097] The training angle of an activity can be a classification identifier for the training direction of the organizers.

[0098] Specifically, natural language processing (NLP) technology is used to analyze campus activity information. Text preprocessing, including text standardization and entity recognition, extracts entities related to the event organizers. Then, the student database is queried to match entities and determine the organizers' personnel information. Next, based on historical activity records and role data within the personnel information, a rule-based reasoning mechanism is used to query a pre-defined historical activity database established by relational database management to predict the organizers' event-organizing capabilities. Subsequently, a pre-defined mapping rule base constructed using a numerical-to-category conversion mechanism maps event-organizing capabilities to corresponding activity training angles. Finally, based on the activity training angle, sponsorship quotas, and sponsorship type, the sponsorship project database established by the metadata storage structure of sponsorship management equipment is queried; subsequently, a list of suitable projects is filtered through similarity matching logic.

[0099] This solution analyzes campus activity information to identify and structure the personnel involved in organizing the activities. Based on this information, it predicts the organizers' capabilities, reflecting their organizational coordination, risk management, and other dimensions, thus providing a basis for determining the learning angles for the activities. Based on these capabilities, it identifies the learning angles and directions for the activities, transforming the predicted capabilities into different dimensions. Finally, based on the learning angles, the number of sponsorships, and the type of sponsorship, it identifies a list of suitable projects, ensuring a precise alignment between sponsorship projects and activity needs.

[0100] In some embodiments, real-time monitoring data of the event site is acquired; the real-time monitoring data is analyzed to determine the site status; and real-time alerts are generated based on the site status.

[0101] The event venue can be the physical location where the event is held.

[0102] Real-time monitoring data can be data collected in real time from monitoring equipment.

[0103] The on-site status can be a classification result of the current activity status.

[0104] Real-time alerts can be warnings or notifications.

[0105] Specifically, real-time monitoring data is collected by a monitoring device installed at the activity site. Then, video data of the real-time monitoring data is preprocessed by denoising, frame segmentation and the like. Then, based on a preset rule base derived from expert experience and historical activity data analysis, state determination is performed by an analysis rule engine to determine the site state. Then, a state-alert mapping rule base that stores the correspondence between states and alert templates is queried to match the site state. Finally, a reminder message is generated by filling in dynamic content according to the template.

[0106] By the scheme, real-time monitoring data of the activity site is obtained, ensuring the comprehensiveness and timeliness of the basis for site state determination. The real-time monitoring data is analyzed to determine the site state, avoiding unclear asset damage responsibility and making up for the lack of risk assessment ability of students. According to the site state, a real-time reminder is generated to eliminate the problem of missing early warning mechanism and avoid risk escalation due to information transmission delay.

[0107] In some embodiments, according to the campus activity information, an activity key node is determined; according to the real-time monitoring data and the activity site, a concern demand of the activity key node is determined; based on the concern demand, the real-time monitoring data of the activity key node is analyzed to determine the site state.

[0108] The activity key node can be a sequence of important stages in the activity.

[0109] The concern demand can be a monitoring focus.

[0110] Specifically, a time field of the campus activity information is parsed, and an activity key node is generated in combination with an activity type classification base that stores a standard key node sequence of the activity type. Then, metadata of the real-time monitoring data is extracted and matched with database records of the activity site. Then, according to the key node identifier, the corresponding concern demand of the activity key node is retrieved and output from a concern demand mapping rule base. Subsequently, based on the real-time monitoring data, if the concern demand involves entity recognition, a target detection algorithm is applied to process video data of the real-time monitoring data to recognize and label entities; at the same time, if the concern demand involves threshold comparison, feature extraction is performed on audio data of the real-time monitoring data, and real-time comparison is performed with a preset threshold set by a safety critical point determined from historical activity audio data. Finally, the entity and the comparison result are integrated, and the site state is determined in combination with the activity key node.

[0111] By the scheme, according to the campus activity information, an activity key node is determined, ensuring that the analysis process is directed to important aspects of the activity, avoiding blind processing of monitoring data. According to the real-time monitoring data and the activity site, a concern demand of the activity key node is determined, ensuring that the processing of real-time monitoring data is only directed to related demands, improving analysis efficiency. Based on the concern demand, the real-time monitoring data of the activity key node is analyzed to determine the site state, realizing real-time evaluation of the current situation of the activity.

[0112] Figure 3 A flowchart of a smart campus management method provided for an embodiment of the present application is shown in Figure 3 The method of the embodiment can be applied to the server in the above scenarios. As shown in Figure 3 The method includes: S301, obtaining campus activity information; S302, analyzing the campus activity information to determine the activity risk; S303, analyzing the campus activity information to determine the adaptation project list; based on the adaptation project list, calling and analyzing the sponsorship candidate information to determine the sponsorship risk of the candidate sponsorship; S304, generating an activity reminder and a sponsorship reminder according to the activity risk and the sponsorship risk, respectively.

[0113] Optionally, analyzing the campus activity information to determine the activity risk includes: Analyzing the campus activity information to determine the activity type and the activity time; Analyzing the activity type to determine the activity leader information and the participant restriction; Determining the management personnel capability according to the activity leader information; Based on the activity time, calling the campus course information, and determining the personnel participation degree according to the campus course information and the participant restriction; Determining the activity risk according to the management personnel capability and the personnel participation degree.

[0114] Optionally, analyzing the sponsorship candidate information to determine the sponsorship risk of the candidate sponsorship includes: Analyzing the sponsorship candidate information to determine the sponsorship type and the contract terms; Analyzing the sponsorship type to determine the product positioning; Analyzing the contract terms to determine the potential contract trap; Determining the sponsorship risk of the candidate sponsorship according to the product positioning and the potential contract trap.

[0115] Optionally, it further includes: Determining the group to be involved according to the activity type; Analyzing the free time of the group to be involved according to the campus course information; Generating an activity schedule according to the free time and the activity time.

[0116] Optionally, analyzing the campus activity information to determine the adaptation project list includes: Analyzing the campus activity information to determine the activity report information; and determining the activity scale according to the activity report information; Obtaining the activity type, and determining the activity use amount according to the activity type and the activity scale; determine the sponsorship quota and the sponsorship type according to the activity type and the activity use amount; determine the adaptation project list according to the sponsorship quota and the sponsorship type.

[0117] Optionally, the activity risk includes the number of participants risk, and the sponsorship risk includes the publicity risk, and the activity reminder and the sponsorship reminder are respectively generated according to the activity risk and the sponsorship risk, including: When the activity risk is the number of participants risk, the campus activity information is analyzed to determine the activity site; determine the crowd evacuation scheme according to the number of participants risk and the activity site; generate the activity reminder according to the crowd evacuation scheme; When the sponsorship risk is the publicity risk, the suitable age group is determined according to the product positioning; analyze the product positioning to determine the use adaptation degree of the product in the campus; generate the sponsorship reminder according to the suitable age group and the use adaptation degree.

[0118] Optionally, the adaptation project list is determined according to the sponsorship quota and the sponsorship type, including: analyze the campus activity information to determine the personnel information of the activity organizers; predict the activity organizing ability of the activity organizers according to the personnel information; determine the activity exercise angle according to the activity organizing ability; determine the adaptation project list according to the activity exercise angle, the sponsorship quota and the sponsorship type.

[0119] Optionally, it further includes: obtain the real-time monitoring data of the activity site; analyze the real-time monitoring data to determine the site state; generate the real-time reminder according to the site state.

[0120] Optionally, the real-time monitoring data is analyzed to determine the site state, including: determine the activity key node according to the campus activity information; determine the attention demand of the activity key node according to the real-time monitoring data and the activity site; analyze the real-time monitoring data of the activity key node based on the attention demand to determine the site state.

[0121] The method of the embodiment can be used to execute the method of any of the above embodiments, and the implementation principles and technical effects are similar, which will not be repeated here.

Claims

1. A smart campus management system, characterized in that, The application comprises an activity acquisition module, an activity risk analysis module, an activity sponsorship management module, and an activity comprehensive management module, The activity acquisition module and the activity comprehensive management module are connected to the activity risk analysis module and the activity sponsorship management module respectively; The activity acquisition module is configured to acquire campus activity information; The activity risk analysis module is configured to receive and analyze the campus activity information to determine an activity risk; The activity sponsorship management module is configured to receive and analyze the campus activity information to determine an adapted project list; Based on the adapted project list, the activity sponsorship management module is configured to call and analyze sponsorship candidate information to determine a sponsorship risk of a candidate sponsorship; The activity comprehensive management module is configured to acquire the activity risk and the sponsorship risk, and generate an activity reminder and a sponsorship reminder according to the activity risk and the sponsorship risk respectively.

2. The system of claim 1, wherein, When the activity risk analysis module analyzes the campus activity information to determine an activity risk, the activity risk analysis module is configured to: analyze the campus activity information to determine an activity type and an activity time; analyze the activity type to determine activity leader information and a participant restriction; determine a management personnel capability according to the activity leader information; based on the activity time, call campus course information, and determine a personnel participation degree according to the campus course information and the participant restriction; determine an activity risk according to the management personnel capability and the personnel participation degree.

3. The system of claim 1, wherein, When the activity sponsorship management module analyzes sponsorship candidate information to determine a sponsorship risk of a candidate sponsorship, the activity sponsorship management module is configured to: analyze the sponsorship candidate information to determine a sponsorship type and a contract clause; analyze the sponsorship type to determine a product positioning; analyze the contract clause to determine a potential contract trap; determine a sponsorship risk of a candidate sponsorship according to the product positioning and the potential contract trap.

4. The system of claim 2, wherein, The activity risk analysis module further comprises an activity recommendation unit configured to: determine a group desiring to participate according to the activity type; analyze free time of the group desiring to participate according to the campus course information; generate an activity schedule according to the free time and the activity time.

5. The system of claim 2, wherein, When the activity sponsorship management module analyzes the campus activity information to determine an adapted project list, the activity sponsorship management module is configured to: analyze the campus activity information to determine activity report information; and determine an activity scale according to the activity report information; acquire the activity type, and determine an activity use amount according to the activity type and the activity scale; determine a sponsorship quota and a sponsorship type according to the activity type and the activity use amount; determine an adapted project list according to the sponsorship quota and the sponsorship type.

6. The system of claim 3, wherein, The activity risk comprises a participant number risk, and the sponsorship risk comprises a publicity risk. When the activity comprehensive management module generates an activity reminder and a sponsorship reminder according to the activity risk and the sponsorship risk, the activity comprehensive management module is configured to: when the activity risk is the participant number risk, analyze the campus activity information to determine an activity site; determine a crowd evacuation scheme according to the participant number risk and the activity site; generate an activity reminder according to the crowd evacuation scheme; when the sponsorship risk is the publicity risk, determine an appropriate age group according to the product positioning; analyzing the product positioning, determining a use fitness of the product in the campus; generating a sponsorship reminder according to the age-appropriate crowd and the use fitness.

7. The system of claim 5, wherein, When the activity sponsorship management module determines the adaptive project list according to the sponsorship quota and the sponsorship type, it is used for: analyzing the campus activity information, determining personnel information of the activity organizers; predicting activity organizing capabilities of the activity organizers according to the personnel information; determining activity exercise angles according to the activity organizing capabilities; determining the adaptive project list according to the activity exercise angles, the sponsorship quota and the sponsorship type.

8. The system of claim 1, wherein, The activity comprehensive management module further includes an activity monitoring unit, which is used for: obtaining real-time monitoring data of an activity site; analyzing the real-time monitoring data, determining a site state; generating a real-time reminder according to the site state.

9. The system of claim 8, wherein, When the activity monitoring unit analyzes the real-time monitoring data, determining a site state, it is used for: determining activity key nodes according to the campus activity information; determining attention demands of the activity key nodes according to the real-time monitoring data and the activity site; analyzing the real-time monitoring data of the activity key nodes based on the attention demands, determining a site state. 10.A method for intelligent campus management, characterized in that, Applied to the system as claimed in any one of claims 1-9, comprising: obtaining campus activity information; analyzing the campus activity information, determining an activity risk; analyzing the campus activity information, determining an adaptive project list; based on the adaptive project list, calling and analyzing sponsorship candidate information, determining a sponsorship risk of a candidate sponsorship; generating an activity reminder and a sponsorship reminder respectively according to the activity risk and the sponsorship risk.

Images