CN116029876B - Intelligent campus integrated management device and method - Google Patents
Intelligent campus integrated management device and method Download PDFInfo
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Abstract
The invention provides an intelligent campus comprehensive management device and method, which belong to the technical field of self-service equipment and specifically comprise the following steps: the method comprises the steps of determining the evaluation running state of the campus integrated management device based on the number of users of the campus integrated management device, the data volume of interaction data and the service types corresponding to the interaction data, determining the running state of the campus integrated management device based on the number of users of the campus integrated management device, the service handling time of single users and the service handling success rate when the campus integrated management device is in the normal running state, identifying the identities of the users and outputting the service types which can be handled when the running state is in the normal state, and confirming the identities of the users by adopting an additional identity verification mode when the service types are fund type services, so that the safety and the use convenience of the users of the campus integrated management device are further improved.
Description
Technical Field
The invention belongs to the technical field of self-service equipment, and particularly relates to an intelligent campus comprehensive management device and method.
Background
In order to realize the construction of intelligent campus and reduce the time of students handling campus cards and printing the score, in the invention patent publication No. CN107610365A 'campus multifunctional information inquiry printing system', the identity of a user is read and authenticated, the authenticated user can select the function by utilizing the function selection module, the data acquisition module is used for acquiring the data required by the user to prompt the user to print and select, and the printing module is used for printing the data of the user under the condition of confirming the printing, but the following technical problems exist:
1. the different identity verification method according to the difference of the required transacting business of the user is not considered, for example, the business related to funds such as campus card balance extraction, balance inquiry, recharging and the like is adopted, and if the same identity verification method is adopted as the common business such as the inquiry result, the printing result and the like, the loss of funds of the user or the complicated transacting procedure is possibly caused, and unnecessary disputes and queuing are generated.
2. The operation state of the device is judged without considering the service handling time, the service handling success rate and the interactive data volume of the equipment and the server of a single user, when the service handling time of the user is overlong or the service handling success rate is lower, or the interactive data volume of the device and the server is abnormal, if the operation state of the fault of the equipment cannot be judged in time, and the equipment cannot meet the normal use due to the targeted maintenance according to the judgment result.
The invention provides a comprehensive intelligent campus management device and method aiming at the technical problems.
Disclosure of Invention
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
according to one aspect of the invention, a method for comprehensive management of an intelligent campus is provided.
The intelligent campus comprehensive management method is characterized by comprising the following steps of:
s11, acquiring the data volume of the interactive data of the campus integrated management device in real time, judging whether the data volume of the interactive data is normal, if so, entering a step S14, and if not, entering a step S12;
s12, acquiring the number of users of the campus integrated management device, judging whether the number of users is normal, if so, entering a step S14, and if not, entering a step S13;
s13, determining an evaluation running state of the campus integrated management device based on the number of users of the campus integrated management device, the data quantity of the interaction data and the service types corresponding to the interaction data, judging whether the evaluation running state is in a normal running state, if so, entering a step S14, and if not, outputting equipment failure and temporarily disabling operation;
s14, determining the running state of the campus management device based on the number of users of the campus comprehensive management device, the service handling time of a single user and the service handling success rate, judging whether the running state is in a normal state, if so, entering a step S15, and if not, outputting equipment failure and temporarily disabling the operation;
s15, the identity of the user is identified, the transactable service type is output according to the identity of the user, and when the transacted service type of the user is a fund service, the identity of the user is confirmed by adopting an additional identity verification mode.
The data volume of the interaction data of the campus integrated management device and the number of the users of the campus integrated management device are screened, so that the screening of the campus integrated management device with low activity is realized, the screening of the campus integrated management device with high possibility of faults can be accurately realized, and the screening efficiency and reliability are ensured.
The assessment running state of the campus integrated management device is determined by combining the number of users of the campus integrated management device, the data quantity of the interaction data and the service types corresponding to the interaction data, so that the judgment of abnormality from the data angle is realized, the screening of suspected abnormal equipment can be realized more quickly, and the use efficiency of the campus integrated management device and the fault detection efficiency are improved.
The operation state of the campus management device is determined by combining the number of users of the campus integrated management device, the service handling time of single user and the service handling success rate, so that the screening of abnormal equipment from the service handling time and the service handling success rate of the users is realized, the judgment accuracy is further ensured, and the problem of lower use efficiency caused by the operation failure of the campus integrated management device is avoided.
By using different identity verification modes for different services, the fund and account security of the user are further improved on the basis of guaranteeing the basic service handling efficiency, and the security risk caused by identity information leakage is avoided.
On the other hand, the embodiment of the application provides an intelligent campus integrated management device, which adopts the intelligent campus integrated management method, and specifically comprises the following steps:
an interactive data statistics module; a user quantity counting module; a business type analysis module; an operating state analysis module; an identity verification module; a display module;
the interactive data analysis module is responsible for acquiring the data volume of interactive data of the campus integrated management device in real time;
the user quantity counting module is responsible for acquiring the quantity of users of the campus integrated management device;
the service type analysis module is responsible for determining the corresponding service type based on the interaction data;
the running state analysis module is responsible for determining the estimated running state of the campus integrated management device based on the number of users of the campus integrated management device, the data volume of the interaction data and the service types corresponding to the interaction data; determining the running state of the campus management device based on the number of users of the campus comprehensive management device, the service handling time of a single user and the service handling success rate;
the identity verification module is responsible for identifying the identity of a user;
the display module is responsible for outputting the transactable service types according to the identity of the user, and outputting an additional identity verification mode when the transacted service types of the user are fund service types.
In another aspect, embodiments of the present application provide a computer system, including: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor executes the intelligent campus integrated management method when running the computer program.
In another aspect, the present invention provides a computer storage medium having a computer program stored thereon, which when executed in a computer causes the computer to perform a smart campus integrated management method as described above.
Additional features and advantages will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Additional features and advantages will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings;
FIG. 1 is a flow chart of a method of intelligent campus integrated management according to embodiment 1;
FIG. 2 is a flow chart of a method of evaluating determination of operational status of a campus integrated management device according to embodiment 1;
FIG. 3 is a flowchart of specific steps of evaluation of the operation status of the campus management device according to embodiment 1;
fig. 4 is a structural diagram of an intelligent campus integrated management device according to embodiment 2;
fig. 5 is a structural diagram of an intelligent campus integrated management device according to embodiment 3;
fig. 6 is a structural diagram of a computer storage medium according to embodiment 4;
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and thus detailed descriptions thereof will be omitted.
The terms "a," "an," "the," and "said" are used to indicate the presence of one or more elements/components/etc.; the terms "comprising" and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. in addition to the listed elements/components/etc.
Example 1
In order to solve the above-mentioned problems, according to one aspect of the present invention, as shown in fig. 1, there is provided an intelligent campus integrated management method according to the present invention, which is characterized by comprising:
s11, acquiring the data volume of the interactive data of the campus integrated management device in real time, judging whether the data volume of the interactive data is normal, if so, entering a step S14, and if not, entering a step S12;
when the data volume of the interactive data of the campus integrated management device in the preset time is not smaller than the preset value, determining that the data volume of the interactive data is in a normal state.
Specifically, for example, when the data amount of the interactive data in 24 hours is greater than the preset value, for example, generally, the preset value is 10GB, and the data amount of the interactive data in 24 hours is 11GB, it is determined that the data amount of the interactive data is in a normal state.
It should be noted that, when the data volume of the interaction data is in a normal state, the corresponding service type of the interaction data within a preset time needs to be analyzed, and when the corresponding service type of the interaction data within the preset time is abnormal, the judgment of the number of users of the campus integrated management device still needs to be performed.
Specifically, for the interactive data, the service types corresponding to the interactive data of different types are different, for example, the campus integrated management device includes recharging, printing the score, inquiring the balance, and the like, and if only a single function can be implemented, for example, the service types are all recharging, it is indicated that some functions or service types have problems, so that the corresponding service types in the preset time need to be evaluated.
In this embodiment, the data volume of the interaction data of the campus integrated management device and the number of users of the campus integrated management device are screened first, so that screening of the campus integrated management device with low activity is achieved, screening of the campus integrated management device with high possibility of faults can be accurately achieved, and screening efficiency and reliability are guaranteed.
S12, acquiring the number of users of the campus integrated management device, judging whether the number of users is normal, if so, entering a step S14, and if not, entering a step S13;
specifically, when the number of users of the campus integrated management device is within a reasonable range, the assessment of the normal running state is not required to be carried out through the frequency of use of the users under the normal condition, and the campus integrated management device is in a reasonable use state.
Generally, the number of users is not smaller than the number determined according to the average value of the number of users in a period of time, and all the users are normal.
S13, determining an evaluation running state of the campus integrated management device based on the number of users of the campus integrated management device, the data quantity of the interaction data and the service types corresponding to the interaction data, judging whether the evaluation running state is in a normal running state, if so, entering a step S14, and if not, outputting equipment failure and temporarily disabling operation;
specifically, as shown in fig. 2, the method for determining the estimated running state of the campus integrated management device includes:
s21, determining the activity of the campus integrated management device based on the number of users of the campus integrated management device and the data volume of interaction data, determining whether the campus integrated management device is abnormal or not based on the activity, if so, entering a step S22, and if not, entering a step S23;
it should be noted that, the value range of the activity of the integrated management device is between 0 and 1, and specifically, the data amount of the interaction data and the number of users are determined by adopting a mathematical model based on an entropy method.
It can be understood that, when the number of users is larger, the data amount of the interaction data is larger, the activity of the campus integrated management device is higher, and in the actual operation process, the activity evaluation can be performed based on the ratio of the number of users to the number of previous users and the ratio of the data amount of the interaction data to the data amount of the previous interaction data.
When the activity is 0.8 and greater than the set number of 0.7, it is determined that the campus integrated management device at the moment is not abnormal, and by setting the activity, simple judgment on the abnormal state with low activity can be realized, and the judging efficiency is improved.
S22, determining the type number of the service types corresponding to the interactive data based on the data quantity of the interactive data of the campus integrated management device, judging whether the type number of the service types corresponding to the interactive data is normal, if yes, entering a step S23, and if not, outputting equipment failure and temporarily disabling operation;
it should be noted that, the determination of the corresponding service type may be performed according to the data of the interaction data, and when the data amount is different, whether the type number of the service type corresponding to the interaction data is normal or not is also different, and it is understood that the more the data amount is, the more the type number of the service type corresponding to the interaction data must be.
For example, if the data size of the interactive data is 10GB, and the reference value corresponding to the interactive data is 6 or more service types, and if the number of types of service types corresponding to the interactive data is 4, it is determined that the number of types of service types corresponding to the interactive data at the time is abnormal.
S23, determining the operation activity of the campus integrated management device based on the type number of the service types and the operation times of the core service types corresponding to the interaction data;
it should be noted that, the value range of the operation activity is also between 0 and 1, specifically, a mathematical model, an empirical formula or a prediction model based on an artificial neural network may be adopted for evaluation, and it can be understood that the more the number of types of service types corresponding to the interaction data is, the more the number of operations of the core service types is, the greater the operation activity of the campus integrated management device is.
S24, based on the activity degree and the operation activity degree of the campus integrated management device, the evaluation running state of the campus integrated management device is obtained.
It should be noted that, the evaluation running state of the campus integrated management device is determined by adopting an evaluation model based on GWO-GRU algorithm, wherein the specific steps of the construction of the evaluation model are as follows:
step1 initializes the neural network structure and basic parameters, and selects the hidden layer number and the intra-layer node number.
Initializing Step2 basic parameters: initializing the wolf algorithm population, and for the position of the wolves generated in the alpha, beta, delta and omega wolves random solution space, initializing the wolf group size, initializing parameters A, a and C, and determining the maximum iteration times, wherein when a leader in the wolf group finds out the information of a prey, the wolves in the wolf group are negotiated by a joint management group, and a target is notified to each level management group to conduct overall command on the wolf group, and the behavior of hunting prey is described in mathematics as follows:
step3 selects a BP neural network fitness function, a hidden layer number, a hidden layer neuron node number, and an excitation function.
Step4, calculating individual fitness value of the wolves, and finding out optimal fitness valueSolution (position of alpha wolf)
) Suboptimal solution (position of beta wolf +.>
) And a third best solution (position of delta wolf ++>
) According to->
The position information of rest of the wolf omega is updated and the values of parameters a, a and C are updated.
Step5, selecting a sample to train GRU neural network, then calculating an optimization result of an evaluation model based on the neural network, performing error analysis, recording errors, and recording an optimal solution (the position of alpha wolf) corresponding to an improved gray wolf improvement algorithm
)。
Step6, judging whether the maximum iteration times are met or the set error value is met, if the maximum iteration times are met, terminating the loop, otherwise, repeating Step4-Step6.
And finally returning the results of alpha, beta, delta and omega wolf to Step7, searching an algorithm global optimal solution, and finding the minimum error of an evaluation model of the optimal position of the wolf in the solution space.
The value range of the activity of the campus integrated management device is between 0 and 1, wherein the higher the number of users of the campus integrated management device is, the larger the data amount of the interaction data is, and the higher the activity of the campus integrated management device is.
It should be noted that, the gray wolf optimization algorithm has clear structure, high calculation efficiency and high searching speed, but has the common problem of all intelligent algorithms, namely, the intelligent algorithm is easy to fall into a local optimal solution, and rotates around a global optimal solution, so that the calculation efficiency is reduced, so that the standard gray wolf algorithm is changed, and the algorithm performance is required to be improved.
The method is characterized in that an important parameter a in the gray-wolf algorithm is used for representing the searching performance of the algorithm, the size of the parameter a is directly related to the global or local searching performance of the algorithm, and as the optimization curve of a mathematical model established by a research target is quite nonlinear, the parameter a in the gray-wolf algorithm is initially linearly reduced, but if a complex nonlinear model is faced to an object, the parameter a cannot meet the calculation requirement, and therefore the parameter a needs to be adjusted to present a nonlinear trend along with the change of an objective function, the method is improved aiming at the parameter a, and the improvement formula is specifically shown as follows:
Furthermore, the gray wolf algorithm pseudo code is:
Initialize the grey wolf population X i (i=1,2..,n)=
Initialize a , A and C
Calculate the fitness of each search agent
aX =thebestsearchagent
bX =thesecondbestsearchagent
dX =thethirdbestsearchagent
While( t<Maxnumber of iterations)
For each search agent
Calculate conver gence factor a by equation
Calculate weight forα、β、δby equation
Update the position of theωby equation(4-17)
End for
Update a ,A and C
Calculate the fitness of all search agents
Update X
t=t+1
End while
Return X
in this embodiment, the number of users of the campus integrated management device, the data amount of the interaction data, and the service types corresponding to the interaction data are combined to determine the evaluation running state of the campus integrated management device, so that the judgment of abnormality from the data angle is realized, the screening of suspected abnormal equipment can be realized faster, and the use efficiency of the campus integrated management device and the efficiency of fault investigation are improved.
S14, determining the running state of the campus management device based on the number of users of the campus comprehensive management device, the service handling time of a single user and the service handling success rate, judging whether the running state is in a normal state, if so, entering a step S15, and if not, outputting equipment failure and temporarily disabling the operation;
specifically, as shown in fig. 3, the specific steps of the evaluation of the operation state of the campus management device are as follows:
s31, determining the activity of the campus integrated management device based on the number of users of the campus integrated management device and the data volume of interaction data, determining whether the campus integrated management device is abnormal or not based on the activity, if so, entering a step S32, and if not, entering a step S34;
s32, judging whether the running state of the campus integrated management device is abnormal or not based on the average business handling time of the single user in the preset time, if so, outputting equipment failure and temporarily disabling operation, and if not, entering step S33;
s33, judging whether the running state of the campus integrated management device is abnormal or not based on the average value of the success rate of business handling in the preset time, if so, outputting equipment failure and temporarily disabling operation, and if not, entering step S34;
s34, determining the running state of the campus management device based on the number of users of the campus integrated management device in a preset time, average time of service handling of single user and average success rate of service handling.
Specifically, the value range of the preset time is between 24 hours and 1 week, and the value is specifically determined according to the activity of the campus integrated management device.
In this embodiment, the number of users of the campus integrated management device, the time of service handling of a single user, and the success rate of service handling are combined to determine the operation state of the campus management device, so that the screening of abnormal equipment from the time of service handling of the user and the success rate is realized, the accuracy of judgment is further ensured, and the problem of low use efficiency caused by the operation failure of the campus integrated management device is avoided.
S15, the identity of the user is identified, the transactable service type is output according to the identity of the user, and when the transacted service type of the user is a fund service, the identity of the user is confirmed by adopting an additional identity verification mode.
It should be noted that the additional authentication methods include, but are not limited to, face recognition, fingerprint recognition, and password authentication.
In this embodiment, by using different authentication methods for different services, the fund and account security of the user are further improved on the basis of ensuring the basic service handling efficiency, and the security risk caused by identity information leakage is avoided.
In order to facilitate understanding of the technical solution, a specific embodiment is given:
when the data amount of the interactive data in 24 hours is not more than a preset value, for example, generally, the preset value is 10GB, and when the data amount of the interactive data in 24 hours is 3GB, the abnormal data amount of the interactive data is determined;
when the number of users of the campus integrated management device is not in a reasonable range, namely the number is small, the normal running state is required to be evaluated according to the using frequency of the users, and the campus integrated management device is in a suspected abnormal state;
determining an evaluation running state of the campus integrated management device based on the number of users of the campus integrated management device, the data quantity of the interaction data and the service types corresponding to the interaction data, wherein the evaluation running state is determined by adopting an evaluation model based on a GWO-GRU algorithm, and the evaluation running state is not repeated one by one and enters the next step when the evaluation running state is in a normal state, namely, is greater than a set state value;
determining an operation state of the campus management device based on the number of users of the campus integrated management device, the service handling time of a single user and the service handling success rate, wherein an embodiment of specific judgment steps is shown in fig. 3, and is not repeated herein, and entering the next step when the operation state is greater than a set value in a normal state in an actual judgment process;
and identifying the identity of the user, outputting a transactable service type according to the identity of the user, and confirming the identity of the user by adopting an additional identity verification mode when the transacted service type of the user is a fund service.
In particular, the fund-based services include money transfer, balance inquiry, recharging, etc. services involving funds transactions.
Example 2
As shown in fig. 4, an embodiment of the present application provides an integrated intelligent campus management device, which adopts the above integrated intelligent campus management method, and specifically includes:
an interactive data statistics module; a user quantity counting module; a business type analysis module; an operating state analysis module; an identity verification module; a display module;
the interactive data analysis module is responsible for acquiring the data volume of interactive data of the campus integrated management device in real time;
the user quantity counting module is responsible for acquiring the quantity of users of the campus integrated management device;
the service type analysis module is responsible for determining the corresponding service type based on the interaction data;
the running state analysis module is responsible for determining the estimated running state of the campus integrated management device based on the number of users of the campus integrated management device, the data volume of the interaction data and the service types corresponding to the interaction data; determining the running state of the campus management device based on the number of users of the campus comprehensive management device, the service handling time of a single user and the service handling success rate;
specifically, the evaluation running state of the campus integrated management device is determined by adopting an evaluation model based on a GWO-GRU algorithm, wherein the evaluation model is constructed by the following specific steps:
step1 initializes the neural network structure and basic parameters, and selects the hidden layer number and the intra-layer node number.
Initializing Step2 basic parameters: initializing the wolf algorithm population, and for the position of the wolves generated in the alpha, beta, delta and omega wolves random solution space, initializing the wolf group size, initializing parameters A, a and C, and determining the maximum iteration times, wherein when a leader in the wolf group finds out the information of a prey, the wolves in the wolf group are negotiated by a joint management group, and a target is notified to each level management group to conduct overall command on the wolf group, and the behavior of hunting prey is described in mathematics as follows:
step3 selects a BP neural network fitness function, a hidden layer number, a hidden layer neuron node number, and an excitation function.
Step4 calculates the individual fitness value of the wolf, and finds the optimal solution of the fitness value (the position of alpha wolf
) Suboptimal solution (position of beta wolf +.>
) And a third best solution (position of delta wolf ++>
) According to->
The position information of rest of the wolf omega is updated and the values of parameters a, a and C are updated.
Step5, selecting a sample to train GRU neural network, then calculating an optimization result of an evaluation model based on the neural network, performing error analysis, recording errors, and recording an optimal solution (the position of alpha wolf) corresponding to an improved gray wolf improvement algorithm
)。
Step6, judging whether the maximum iteration times are met or the set error value is met, if the maximum iteration times are met, terminating the loop, otherwise, repeating Step4-Step6.
And finally returning the results of alpha, beta, delta and omega wolf to Step7, searching an algorithm global optimal solution, and finding the minimum error of an evaluation model of the optimal position of the wolf in the solution space.
The value range of the activity of the campus integrated management device is between 0 and 1, wherein the higher the number of users of the campus integrated management device is, the larger the data amount of the interaction data is, and the higher the activity of the campus integrated management device is.
It should be noted that, the gray wolf optimization algorithm has clear structure, high calculation efficiency and high searching speed, but has the common problem of all intelligent algorithms, namely, the intelligent algorithm is easy to fall into a local optimal solution, and rotates around a global optimal solution, so that the calculation efficiency is reduced, so that the standard gray wolf algorithm is changed, and the algorithm performance is required to be improved.
The method is characterized in that an important parameter a in the gray-wolf algorithm is used for representing the searching performance of the algorithm, the size of the parameter a is directly related to the global or local searching performance of the algorithm, and as the optimization curve of a mathematical model established by a research target is quite nonlinear, the parameter a in the gray-wolf algorithm is initially linearly reduced, but if a complex nonlinear model is faced to an object, the parameter a cannot meet the calculation requirement, and therefore the parameter a needs to be adjusted to present a nonlinear trend along with the change of an objective function, the method is improved aiming at the parameter a, and the improvement formula is specifically shown as follows:
Furthermore, the gray wolf algorithm pseudo code is:
Initialize the grey wolf population X i (i=1,2..,n)=
Initialize a , A and C
Calculate the fitness of each search agent
aX =thebestsearchagent
bX =thesecondbestsearchagent
dX =thethirdbestsearchagent
While( t<Maxnumber of iterations)
For each search agent
Calculate conver gence factor a by equation
Calculate weight forα、β、δby equation
Update the position of theωby equation(4-17)
End for
Update a ,A and C
Calculate the fitness of all search agents
Update X
t=t+1
End while
Return X
specifically, as shown in fig. 3, the specific steps of the evaluation of the operation state of the campus management device are as follows:
s31, determining the activity of the campus integrated management device based on the number of users of the campus integrated management device and the data volume of interaction data, determining whether the campus integrated management device is abnormal or not based on the activity, if so, entering a step S32, and if not, entering a step S34;
s32, judging whether the running state of the campus integrated management device is abnormal or not based on the average business handling time of the single user in the preset time, if so, outputting equipment failure and temporarily disabling operation, and if not, entering step S33;
s33, judging whether the running state of the campus integrated management device is abnormal or not based on the average value of the success rate of business handling in the preset time, if so, outputting equipment failure and temporarily disabling operation, and if not, entering step S34;
s34, determining the running state of the campus management device based on the number of users of the campus integrated management device in a preset time, average time of service handling of single user and average success rate of service handling.
Specifically, the value range of the preset time is between 24 hours and 1 week, and the value is specifically determined according to the activity of the campus integrated management device.
The identity verification module is responsible for identifying the identity of a user;
the display module is responsible for outputting the transactable service types according to the identity of the user, and outputting an additional identity verification mode when the transacted service types of the user are fund service types.
It should be noted that the additional authentication methods include, but are not limited to, face recognition, fingerprint recognition, and password authentication.
Example 3
As shown in fig. 5, in an embodiment of the present application, there is provided a computer system including: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor executes the intelligent campus integrated management method when running the computer program.
Specifically, the intelligent campus comprehensive management method comprises the following steps:
when the data amount of the interactive data in 24 hours is not more than a preset value, for example, generally, the preset value is 10GB, and when the data amount of the interactive data in 24 hours is 3GB, the abnormal data amount of the interactive data is determined;
when the number of users of the campus integrated management device is not in a reasonable range, namely the number is small, the normal running state is required to be evaluated according to the using frequency of the users, and the campus integrated management device is in a suspected abnormal state;
determining an evaluation running state of the campus integrated management device based on the number of users of the campus integrated management device, the data quantity of the interaction data and the service types corresponding to the interaction data, wherein the evaluation running state is determined by adopting an evaluation model based on a GWO-GRU algorithm, and the evaluation running state is not repeated one by one and enters the next step when the evaluation running state is in a normal state, namely, is greater than a set state value;
determining an operation state of the campus management device based on the number of users of the campus integrated management device, the service handling time of a single user and the service handling success rate, wherein an embodiment of specific judgment steps is shown in fig. 3, and is not repeated herein, and entering the next step when the operation state is greater than a set value in a normal state in an actual judgment process;
and identifying the identity of the user, outputting a transactable service type according to the identity of the user, and confirming the identity of the user by adopting an additional identity verification mode when the transacted service type of the user is a fund service.
Specifically, the embodiment also provides a computer system, which comprises a processor, a memory, a network interface and a database which are connected through a system bus; wherein the processor of the computer system is configured to provide computing and control capabilities; the memory of the computer system includes nonvolatile storage medium, internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The computer device network interface is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a smart campus integrated management method as described above.
Example 4
As shown in fig. 6, the present invention provides a computer storage medium having a computer program stored thereon, which when executed in a computer, causes the computer to perform a smart campus integrated management method as described above.
In particular, it will be understood by those skilled in the art that implementing all or part of the above-described methods of the embodiments may be implemented by a computer program, which may be stored in a non-volatile computer readable storage medium, and the computer program may include the steps of the embodiments of the above-described methods when executed. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
In the several embodiments provided in this application, it should be understood that the disclosed systems and methods may be implemented in other ways as well. The system embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present invention may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored on a computer readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method of the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
With the above-described preferred embodiments according to the present invention as an illustration, the above-described descriptions can be used by persons skilled in the relevant art to make various changes and modifications without departing from the scope of the technical idea of the present invention. The technical scope of the present invention is not limited to the description, but must be determined according to the scope of claims.
Claims (9)
1. The intelligent campus comprehensive management method is characterized by comprising the following steps of:
s11, acquiring the data volume of the interactive data of the campus integrated management device in real time, judging whether the data volume of the interactive data is normal, if so, entering a step S14, and if not, entering a step S12;
s12, acquiring the number of users of the campus integrated management device, judging whether the number of users is normal, if so, entering a step S14, and if not, entering a step S13;
s13, determining an evaluation running state of the campus integrated management device based on the number of users of the campus integrated management device, the data quantity of the interaction data and the service types corresponding to the interaction data, judging whether the evaluation running state is in a normal running state, if so, entering a step S14, and if not, outputting equipment failure and temporarily disabling operation;
the method for determining the evaluation running state of the campus integrated management device comprises the following steps:
s21, determining the activity of the campus integrated management device based on the number of users of the campus integrated management device and the data volume of interaction data, determining whether the campus integrated management device is abnormal or not based on the activity, if so, entering a step S22, and if not, entering a step S23;
s22, determining the type number of the service types corresponding to the interactive data based on the data quantity of the interactive data of the campus integrated management device, judging whether the type number of the service types corresponding to the interactive data is normal, if yes, entering a step S23, and if not, outputting equipment failure and temporarily disabling operation;
s23, determining the operation activity of the campus integrated management device based on the type number of the service types and the operation times of the core service types corresponding to the interaction data;
s24, obtaining an evaluation running state of the campus integrated management device based on the activity level and the operation activity level of the campus integrated management device;
s14, determining the running state of the campus integrated management device based on the number of users of the campus integrated management device, the service handling time of single users and the service handling success rate, judging whether the running state is in a normal state, if so, entering a step S15, and if not, outputting equipment failure and temporarily disabling the operation;
the specific steps of the assessment of the running state of the campus integrated management device are as follows:
s31, determining the activity of the campus integrated management device based on the number of users of the campus integrated management device and the data volume of interaction data, determining whether the campus integrated management device is abnormal or not based on the activity, if so, entering a step S32, and if not, entering a step S34;
s32, judging whether the running state of the campus integrated management device is abnormal or not based on the average business handling time of the single user in the preset time, if so, outputting equipment failure and temporarily disabling operation, and if not, entering step S33;
s33, judging whether the running state of the campus integrated management device is abnormal or not based on the average value of the success rate of business handling in the preset time, if so, outputting equipment failure and temporarily disabling operation, and if not, entering step S34;
s34, determining the running state of the campus integrated management device based on the number of users of the campus integrated management device in preset time, average time of service handling of single user and average success rate of service handling;
s15, the identity of the user is identified, the transactable service type is output according to the identity of the user, and when the transacted service type of the user is a fund service, the identity of the user is confirmed by adopting an additional identity verification mode.
2. The intelligent campus integrated management method of claim 1, wherein when the data volume of the interactive data of the campus integrated management device in the preset time is not less than a preset value, it is determined that the data volume of the interactive data is in a normal state.
3. The intelligent campus integrated management method as claimed in claim 1, wherein when the data volume of the interactive data is in a normal state, the corresponding service type of the interactive data within a preset time is required to be analyzed, and when the corresponding service type of the interactive data within the preset time is abnormal, the judgment of the number of users of the campus integrated management device is still required.
4. The intelligent campus integrated management method as claimed in claim 1, wherein the value range of the activity of the campus integrated management device is between 0 and 1, wherein the greater the number of users of the campus integrated management device is, the greater the data amount of the interaction data is, and the higher the activity of the campus integrated management device is.
5. The intelligent campus integrated management method of claim 1, wherein the preset time is in a range of 24 hours to 1 week, and the value is determined according to the activity of the campus integrated management device.
6. The intelligent campus integrated management method according to claim 1, wherein the additional authentication means include, but are not limited to, face recognition, fingerprint recognition, and password authentication.
7. An intelligent campus integrated management device, adopting the intelligent campus integrated management method of any one of claims 1-6, specifically comprising:
an interactive data statistics module; a user quantity counting module; a business type analysis module; an operating state analysis module; an identity verification module; a display module;
the interactive data analysis module is responsible for acquiring the data volume of interactive data of the campus integrated management device in real time;
the user quantity counting module is responsible for acquiring the quantity of users of the campus integrated management device;
the service type analysis module is responsible for determining the corresponding service type based on the interaction data;
the running state analysis module is responsible for determining the estimated running state of the campus integrated management device based on the number of users of the campus integrated management device, the data volume of the interaction data and the service types corresponding to the interaction data; determining the running state of the campus integrated management device based on the number of users of the campus integrated management device, the service handling time of a single user and the service handling success rate;
the identity verification module is responsible for identifying the identity of a user;
the display module is responsible for outputting the transactable service types according to the identity of the user, and outputting an additional identity verification mode when the transacted service types of the user are fund service types.
8. A computer system, comprising: a communicatively coupled memory and processor, and a computer program stored on the memory and capable of running on the processor, characterized by: the processor, when executing the computer program, performs a method of intelligent campus integrated management as claimed in any one of claims 1-6.
9. A computer storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform a smart campus integrated management method as claimed in any one of claims 1 to 6.
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| CN117094713B (en) * | 2023-10-18 | 2024-02-23 | 杭州青橄榄网络技术有限公司 | Self-service payment method and terminal based on intelligent campus |
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