CN109166070B - Tool generation method and device in government affair system - Google Patents
Tool generation method and device in government affair system Download PDFInfo
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Abstract
The embodiment of the application provides a tool generation method and a tool generation device in a government affair system, wherein the method comprises the following steps: receiving a tool generation request sent by a target user, wherein the tool generation request carries a target identifier of a target tool and first tool configuration information; determining a tool generation template corresponding to the target identification in a tool generation template library; generating a reference tool according to the tool generation template; and configuring the reference tool according to the first tool configuration information to obtain the target tool. Through implementing this application embodiment, intelligence when can promote the instrument and generate.
Description
Technical Field
The application relates to the technical field of internet, in particular to a tool generation method and device in a government affair system.
Background
With the continuous development of information technology, the information technology gradually enters the information era, and in recent years, with the continuous development of wireless communication technology and mobile interconnection technology, the information technology is further developed, and at the present stage, China has already entered the "internet +" era. Under such a background, the government of China gradually increases the construction strength of electronic government affairs, and new media of electronic government affairs, mobile government affairs and government affairs are gradually widely applied in actual work.
However, in view of government affairs work nationwide, the development of e-government affairs still remains preliminary at present, and when generating tools in the government affair system, it is common to manually accept tool generation requests sent by users and manually generate tools, which results in low intelligence when generating tools.
Disclosure of Invention
The embodiment of the application provides a tool generation method and device in a government affair system, and intelligence of the tool generation can be improved.
A first aspect of an embodiment of the present application provides a method for generating a tool in a government system, where the method includes:
receiving a tool generation request sent by a target user, wherein the tool generation request carries a target identifier of a target tool and first tool configuration information;
determining a tool generation template corresponding to the target identification in a tool generation template library;
generating a reference tool according to the tool generation template;
and configuring the reference tool according to the first tool configuration information to obtain the target tool.
A second aspect of the embodiments of the present application provides a tool generation apparatus in a government affairs system, the apparatus including a receiving unit, a first determining unit, a first generating unit, and a first configuring unit, wherein,
the system comprises a receiving unit, a first tool configuration unit and a second tool configuration unit, wherein the receiving unit is used for receiving a tool generation request sent by a target user, and the tool generation request carries a target identifier and first tool configuration information of a target tool;
the first determining unit is used for determining a tool generation template corresponding to the target identifier in a tool generation template library;
the first generation unit is used for generating a reference tool according to the tool generation template;
and the first configuration unit is used for configuring the reference tool according to the first tool configuration information to obtain the target tool.
A third aspect of the embodiments of the present application provides a government system, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the step instructions in the first aspect of the embodiments of the present application.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps as described in the first aspect of embodiments of the present application.
A fifth aspect of embodiments of the present application provides a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps as described in the first aspect of embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has at least the following beneficial effects:
by the embodiment of the application, a tool generation request sent by a target user is received, the tool generation request carries a target identifier of a target tool and first tool configuration information, determining a tool generation template corresponding to the target identification in a tool generation template library, generating a reference tool according to the tool generation template, configuring the reference tool according to the first tool configuration information to obtain the target tool, so that according to the target identification and the configuration information of the target tool sent by the user, generating a template according to the matched tool corresponding to the target identification, generating a reference tool through the template, compared with the prior art that the target tool is generated in a manual mode usually, the target tool is obtained after the reference tool is configured, and the intelligence and the efficiency of the tool in the generation process can be improved to a certain extent.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a tool generation method provided in an embodiment of the present application;
fig. 2A is a schematic flowchart of a tool generation method in a government system according to an embodiment of the present application;
fig. 2B is a schematic diagram illustrating discretization of a brain wave signal according to an exemplary embodiment of the present disclosure;
FIG. 3 provides another tool generation method in a government system for an embodiment of the present application;
FIG. 4 provides another tool generation method in a government system for an embodiment of the present application;
fig. 5 is a schematic structural diagram of a government affairs system according to an embodiment of the present application;
fig. 6 provides a tool generating apparatus in a government system according to an embodiment of the present application;
fig. 7 is a view for providing another tool generation apparatus in a government system according to an embodiment of the present application;
fig. 8 provides another tool generation device in a government system according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The electronic device according to the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, and various forms of User Equipment (UE), Mobile Stations (MS), terminal equipment (terminal device), and so on. For convenience of description, the above-mentioned apparatuses are collectively referred to as electronic devices.
For better understanding of the embodiment of the present application, a brief description of the tool generation method in the government system is provided below. Referring to fig. 1, fig. 1 is a schematic diagram illustrating a tool generation method according to an embodiment of the present disclosure. As shown in fig. 1, a target user 101 sends a tool request to a government system 102, where the tool request carries a target identifier of the target tool and first tool configuration information, and after receiving the tool request sent by the target user 101, extracting the target identification and the first tool configuration information carried in the tool generation request, the government affairs system 102 in the tool generation template library, determining a tool generation template corresponding to the target identifier, generating a reference tool by the government affair system 102 according to the tool generation template, configuring the reference tool by the government affair system 102 according to the extracted first tool configuration information, obtaining a target tool after configuration is completed, compared with the conventional scheme that the target tool is generated in a manual mode, the method can improve the intelligence and efficiency of tool generation to a certain extent.
Referring to fig. 2A, fig. 2A is a schematic flowchart of a tool generation method in a government system according to an embodiment of the present application. As shown in fig. 2A, the tool generation method includes steps 201 and 204 as follows:
201. and receiving a tool generation request sent by a target user, wherein the tool generation request carries a target identifier of a target tool and first tool configuration information.
Wherein the target identification and the first tool configuration information of the target tool are used to uniquely identify the target tool, the tool may comprise: the method comprises the following steps of shaking, rotating a big turntable, voting, red package, live image and text, activity, question and answer for running a gate, dot color blocks and the like.
Optionally, the manner of receiving the tool generation request sent by the target user may be to send the tool generation request to the government system for the target user, and then receive the tool generation request, or may be to obtain an identifier of the tool and a tool configuration information list after the target user gets contact with a staff of the government system, and input the target identifier of the target tool and the first tool configuration information into the electronic device after selecting the target identifier of the target tool and the first tool configuration information from the identifier of the tool and the tool configuration information list, and send the tool generation request through the electronic device, and then receive the tool generation request, although there may be other manners for the target user to send the tool generation request, and then the government system receives the tool generation request sent by the target user, which is not specifically limited herein.
Optionally, before sending the tool generation request to the government affairs system, establishing a secure communication channel between the government affairs system and the target user is further included, where establishing the secure communication channel includes: the method relates to a government affair system, a target user and agent equipment, and specifically comprises the following steps:
s1, initialization: the initialization stage mainly completes the government affair system, the registration of the target user on the agent device, the subscription of the theme and the generation of system parameters. The government affair system and the target user register with the agent device, the target user can participate in the publishing and subscribing of the theme only through the registered government affair system and the user, and the target user subscribes the related theme to the agent device. The agent device generates a system public Parameter (PK) and a master key (MSK), and transmits the PK to the registered government affair system and the user.
S2, encryption and release: and the encryption and release stage mainly comprises the steps that the government affair system encrypts the load corresponding to the subject to be released and sends the load to the agent equipment. Firstly, the government affair system encrypts a load by adopting a symmetric encryption algorithm to generate a Ciphertext (CT), and then an access structure is formulated
PK and PK generated according to government affair system
And encrypting the symmetric key, and finally sending the encrypted key and the encrypted load to the proxy equipment. And after receiving the encrypted key and the CT sent by the government affair system, the agent device filters and forwards the key and the CT to the user.
Optionally, an access structure
Is an access tree structure. Each non-leaf node of the access tree is a threshold, denoted by KxIs represented by 0<＝Kx<Num (x), num (x) indicates the number of child nodes. When K isxNum (x), the non-leaf node represents the and gate; when K isxWhen 1, the non-leaf node represents an or gate; each leaf node of the access tree represents an attribute. The attribute set satisfying an access tree structure can be defined as: let T be an access tree with r as the root node, TxIs a subtree of T with x as the root node. If T isx(S) < 1 > indicates that the attribute set S satisfies the access structure Tx. If node x is a leaf node, T is a set of attributes S if and only if the attribute att (x) associated with leaf node x is an element of attribute set Sx(S) ═ 1. If node x is a non-leaf node, at least KxChild node z satisfies TzWhen (S) is 1, Tx(S)＝1。
S3, private key generation: the private key generation phase is mainly that the agent device generates a corresponding secret key for the target user to decrypt the CT received thereafter. Target user provides attribute set A to proxy devicei(the attribute can be the information of the characteristics, roles and the like of the subscriber), the proxy device collects A according to PK and attributeiAnd the master key MSK generates a private key SK and then sends the generated private key to the user.
Optionally, attribute set AiIs a global set of U ═ A1，A2，…，AnA subset of. Attribute set AiThe attribute information representing the user i may be the characteristics, roles, and the like of the user, and is a default attribute of the target user, and the global set U represents a set of attribute information of all target users.
S4, decryption: the decryption stage is mainly a process that the target user decrypts the encrypted load to extract the civilization. After receiving the encrypted secret key and the CT sent by the agent device, the user decrypts the encrypted secret key according to the PK and the SK to obtain a symmetric secret key. If its attribute set AiAccess structure satisfying ciphertext
The ciphertext can be successfully decrypted, so that the safety of the communication process is guaranteed.
By constructing the secure communication channel, the security of communication between the target user and the government affair system can be ensured to a certain extent, the possibility that an illegal user steals data transmitted between the user and the government affair system is reduced, and meanwhile, the situation that the illegal user tampers the system through the intrusion system is also reduced, so that important data in the system is stolen.
202. And determining a tool generation template corresponding to the target identification in a tool generation template library.
Optionally, the tool generation template library includes reference identifiers, a tool generation module, and a tool generation template, where the reference identifiers correspond to the tool generation templates one by one, and are set by default by the system, and of course, the system may also add new reference identifiers and tool generation targets to the corresponding relationship.
An alternative possible method for determining a tool-generated template corresponding to a target identifier includes steps a1-A3, as follows:
a1, comparing the target identification with the reference identification in the tool generation template library to obtain the similarity between the target identification and each reference identification;
alternatively, the target identifier may be a target tool icon, and the target tool icon is an icon of a target tool, and the icon is uniformly set by the government affairs system. One possible method for determining the similarity between the target identifier and the reference identifier is:
a11, splitting the target tool icon and the reference tool icon into n x n rectangular graphs in a matrix form, wherein each rectangular graph has a matrix coordinate, the matrix is n x n, and n is an odd number larger than 2;
optionally, when the rectangular patterns are split into n × n rectangular patterns in a matrix form, the areas of the rectangular patterns obtained after splitting may be the same or different. If the areas of the rectangular graphs obtained after splitting are different, one possible splitting mode is as follows: and extracting a region where the key content of the target tool icon is located, wherein when the region is split, the splitting density of the region is greater than that of the region where the non-key content is located, namely the area of the rectangular graph of the region where the key content is located is smaller than that of the rectangular region of the region where the non-key content is located. The key content may be, for example, an area with symbolic significance in the icon, and the area with symbolic significance may be an area capable of highlighting a feature of the icon, such as an area with a special shape in the google icon.
A12, comparing the rectangular graphs in the target tool icon and the reference tool icon according to corresponding coordinate positions to obtain n x n matching degrees;
a13, comparing a rectangular graph with matrix coordinates of (1,1), (1, n), (n/2+0.5,1), (n/2+0.5, x), (x, n/2+0.5) and (n, n) in the target tool icon with a graph of a corresponding coordinate position in the reference tool icon, taking the obtained matching degree as a first matching degree set, and taking the matching degrees out of the first matching degree set as a second matching degree set, wherein the value range of x is [1, n ], and the matching degree can be similarity and the like;
and E14, calculating the average value of the matching degrees of the first matching degree set and the second matching degree set, wherein the matching degrees are greater than the threshold value of the matching degree, and taking the average value as the similarity between the target identifier and the reference identifier.
Optionally, the matching degree in the first matching degree set may further include a matching degree of an area where the key content of the target file icon is located.
Optionally, the threshold of the matching degree is 80%. The similarity between the target identifier and the reference identifier is obtained through the method, and when the target tool icon is matched with the reference tool icon, the similarity can be judged in a targeted mode through division of key areas, so that the matching method is simplified, and meanwhile the matching accuracy can be guaranteed.
A2, taking the reference mark corresponding to the maximum value of the similarity between the target mark and each reference mark as the reference mark matched with the target mark;
and A3, acquiring the tool generation template corresponding to the reference identifier, and taking the tool generation template as the tool generation template corresponding to the target identifier.
Optionally, the tool generating template corresponding to the reference identifier is obtained according to a corresponding relationship between the preset reference identifier and the tool generating template.
In one possible example, another possible method for determining a tool-generated template corresponding to a target identifier includes steps B1-B3 as follows:
b1, comparing the target identification with each reference identification in the tool generation template library to obtain the similarity between the target identification and each reference identification;
optionally, the specific method in step a1 may be referred to for obtaining the similarity between the target identifier and each reference identifier, and details are not repeated here.
B2, if the similarity between the target identifier and each reference identifier is smaller than a first similarity threshold, obtaining a tool generation module set according to first tool configuration information, wherein the tool generation module set comprises a plurality of tool generation modules matched with the target tool;
the first similarity threshold may be, for example, a value of 50% or less, specifically, 30%, 45%, or the like.
Optionally, the first tool configuration information is analyzed to obtain a node to be configured in the first tool configuration information, where the node to be configured may be, for example, a lottery probability, a prize number, an activity time, a winning time, a wechat sharing setting, and the like. The tool generation module corresponding to the node may be acquired according to the specific node, for example, the tool generation module corresponding to the lottery probability may be a probability configuration module, the tool generation module corresponding to the prize may be a prize type setting module, and the like.
And B3, combining the tool generation modules in the tool generation module set to obtain a tool generation template corresponding to the target identification.
Optionally, a possible method for combining the tool generating modules includes steps B31-B34, which are as follows:
b31, extracting the module identification of each tool generation module in the tool generation module set;
optionally, each tool generation module includes a module identifier, each module has a priority, different tool generation modules may have the same priority, and tool generation modules having the same priority are combined in parallel without a combination order when combined.
B32, acquiring the priority of the module identifier of each tool generation module, and generating a first combination order according to the order of the priority from high to low;
b33, sorting the tool generation modules in the tool module set according to the first combination sequence to obtain a first tool module combination sequence;
and B34, combining the tool generation modules in the tool module set according to the first tool module combination sequence, and when combining the third tool generation module in the first tool module combination sequence, executing the following steps A, B and C:
the step A comprises the following steps: acquiring first target state information of the target user, and generating a first sub-tool generation module set, wherein the first sub-tool generation module set comprises tool generation modules except combined tool generation modules in the tool generation module set, and the first target state information comprises brain wave signals of the target user;
the step B comprises the following steps: generating a second combination order, the generating the second combination order comprising: preprocessing the brain wave signal to obtain a reference brain wave signal; performing feature extraction on the reference brain wave signal to obtain a target feature value; obtaining a second combination sequence according to the change trend of the characteristic values;
optionally, the preprocessing the brain wave signal may include: and sequentially carrying out filtering processing and amplification processing on the brain wave signals, wherein a low noise amplifier can be adopted to carry out amplification processing on the brain wave signals during the amplification processing.
Optionally, the performing feature extraction on the reference brain wave signal may include: the discretization processing can be performed on the reference brain wave, the time axis of the brain wave signal is divided by adopting a preset time interval to obtain a plurality of time points, the signal intensity value of the brain wave signal at each time point is extracted, and the signal intensity value of the brain wave signal at each time point is used as a target characteristic value. Referring to the discretization process shown in fig. 2B, a is the amplitude of the brain wave signal, t is a time axis, and the discretization process divides the time axis into t0-t10,10 time points.
Optionally, a waveform diagram of the discrete brain wave signals is drawn according to the target feature value, and a second combination order is determined according to the trend of the waveform diagram, where the trend of the waveform diagram may be, for example, as illustrated in fig. 2B, segments t9-t10 may be understood as that the trend of the brain waves is rising, and when the trend of the brain waves is rising, the user may be understood as being in an excited state, and may be satisfied with the current combination, and the combination order may be appropriately adjusted, and segments t4-t5 may be understood as that the trend of the brain waves is falling, and when the trend of the brain waves is falling, the user is in a low-falling state, and may be not satisfied with the current combination order, and the combination order may be adjusted by a relatively large margin. The method of determining the second combination order according to the brain wave tendency may be: if the trend of the brain waves is decreasing, the second combination order may be a second combination order obtained by arranging the tool generation modules in the first sub-tool generation module set in order of descending priority. If the brain wave trend is rising, obtaining the duration time after the brain wave trend is rising, if the brain wave trend is rising, keeping the time of higher amplitude to exceed a preset time interval, taking the first combination sequence as a second combination sequence, if the brain wave trend is lower than the preset time interval, obtaining the time for combining each tool generation module in the first sub-tool generation module set, sequencing according to the combination time to obtain a second sequence combination, sequencing according to the sequence from short to long in combination time, and sequencing according to the sequence from short to long in combination time to obtain the second combination sequence.
The step C comprises the following steps: sequencing the tool generation modules in the first sub-tool generation module set according to a second combination sequence to obtain a second tool module combination sequence, and combining the tool generation modules in the tool module set according to the second tool module combination sequence;
and repeatedly executing the step A to the step C until all the tool generation modules in the tool generation module set are combined to obtain the tool generation template corresponding to the target identification.
Optionally, after the tool generation template corresponding to the target identifier is generated, the tool generation template and the target identifier may be used as a fixed mapping relationship and added to the tool generation template library, and of course, the identifier and the tool generation template may also be obtained from the network, so as to update the template library, thereby completing the update of the template library, and thus, the adaptability of the system may be improved to a certain extent.
203. And generating a reference tool according to the tool generation template.
Optionally, the reference tool is a tool generated directly through a tool template, and the state of the reference tool is an initial state default to the system, and the reference tool is not practical and can be used only after being configured.
204. And configuring the reference tool according to the first tool configuration information to obtain the target tool.
Optionally, after the target tool is obtained, the mood of the user may be collected, and the target tool may be adaptively modified by determining the satisfaction degree of the user on the generated target tool, where the method may adopt steps C1-C4, which are specifically as follows:
c1, acquiring the facial expression of the target user;
optionally, the area where the target user is located may be photographed by a camera to obtain an image including a face of the target user, the image is subjected to face recognition to obtain a face image of the target user, and the facial expression of the target user is distinguished from the face image.
When the facial expression of the target user is judged according to the facial image, the pre-stored standard facial image can be adopted for comparison, so that the standard facial image matched with the facial image of the target user is obtained, and the facial expression of the target user is obtained according to the standard facial image.
C2, determining the mood of the target user according to the facial expression;
optionally, the mood of the user includes: happy, general mood, dysphoria, etc., wherein the general mood is the usual mood of the user, and there is no state of mood change. Obtaining the mood of the target user according to the mapping relation between the pre-stored facial expression and the mood of the user, for example: the facial expression is smiling face, the mood of the target user is happy, and the like.
C3, generating second tool configuration information according to the mood of the target user;
optionally, taking the generated tool as "shake", if it is determined that the mood of the target user is happy or normal, the second tool configuration information is empty, that is, the target tool is not configured again, and if it is determined that the mood of the target user is irritable, the second tool configuration information may be: reducing the lottery probability; the prize is changed into a prize with lower price; the number of prizes is reduced.
C4, configuring the target tool according to the second tool configuration information.
Optionally, after the target tool is configured by using the second tool configuration information, the steps are repeated until the mood of the user is happy, and the target tool is configured again by using the method, so that the user experience after the tool is generated can be improved to a certain extent.
Referring to fig. 3, fig. 3 provides another tool generation method in a government system according to an embodiment of the present application. As shown in fig. 3, the tool generation method may include steps 301 and 306, which are as follows:
301. receiving a tool generation request sent by a target user, wherein the tool generation request carries a target identifier of a target tool and first tool configuration information;
302. comparing the target identification with each reference identification in the tool generation template library to obtain the similarity between the target identification and each reference identification;
303. if the similarity between the target identifier and each reference identifier is smaller than a first similarity threshold, obtaining a tool generation module set according to first tool configuration information, wherein the tool generation module set comprises a plurality of tool generation modules matched with the target tool;
304. combining the tool generation modules in the tool generation module set to obtain a tool generation template corresponding to the target identifier;
optionally, the following method may be adopted for combining the tool generation module set:
3041. extracting a module identification of each tool generation module in the tool generation module set;
3042. acquiring the priority of the module identifier of each tool generation module, and generating a first combination sequence according to the sequence from high to low of the priority;
3043. sequencing the tool generation modules in the tool module set according to the first combination sequence to obtain a first tool module combination sequence;
3044. and combining the tool generation modules in the tool module set according to the first tool module combination sequence, and when a third tool generation module in the first tool module combination sequence is combined, executing the following steps A, B and C:
the step A comprises the following steps: acquiring first target state information of the target user, and generating a first sub-tool generation module set, wherein the first sub-tool generation module set comprises tool generation modules except combined tool generation modules in the tool generation module set, and the first target state information comprises brain wave signals of the target user;
the step B comprises the following steps: generating a second combination order, the generating the second combination order comprising: preprocessing the brain wave signal to obtain a reference brain wave signal; performing feature extraction on the reference brain wave signal to obtain a target feature value; obtaining a second combination sequence according to the change trend of the characteristic values;
the step C comprises the following steps: sequencing the tool generation modules in the first sub-tool generation module set according to a second combination sequence to obtain a second tool module combination sequence, and combining the tool generation modules in the tool module set according to the second tool module combination sequence;
and repeatedly executing the step A to the step C until all the tool generation modules in the tool generation module set are combined to obtain the tool generation template corresponding to the target identification.
305. Generating a reference tool according to the tool generation template;
306. and configuring the reference tool according to the first tool configuration information to obtain the target tool.
In this example, when the tool generation template is determined in the template library, if a suitable template cannot be found, the tool generation module is selected according to the configuration information, and the tool generation modules are combined to obtain the tool generation template, so that the reliability of the tool generation can be improved to a certain extent, and the user experience can be improved.
Referring to fig. 4, fig. 4 is a block diagram illustrating another tool generation method in a government system according to an embodiment of the present application. As shown in fig. 4, the tool generation method may include steps 401 and 408, which are as follows:
401. receiving a tool generation request sent by a target user, wherein the tool generation request carries a target identifier of a target tool and first tool configuration information;
402. determining a tool generation template corresponding to the target identification in a tool generation template library;
403. generating a reference tool according to the tool generation template;
404. configuring the reference tool according to the first tool configuration information to obtain the target tool;
405. acquiring the facial expression of the target user;
406. determining the mood of the target user according to the facial expression;
407. generating second tool configuration information according to the mood of the target user;
408. and configuring the target tool according to the second tool configuration information.
In this example, by configuring the target tool again after the target tool is generated, the user experience after the tool is generated can be improved to some extent.
In accordance with the foregoing embodiments, please refer to fig. 5, fig. 5 is a schematic structural diagram of a government system according to an embodiment of the present application, and as shown in the drawing, the government system includes a processor, an input device, an output device, and a memory, and the processor, the input device, the output device, and the memory are connected to each other, where the memory is used for storing a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes instructions for executing the following steps;
receiving a tool generation request sent by a target user, wherein the tool generation request carries a target identifier of a target tool and first tool configuration information;
determining a tool generation template corresponding to the target identification in a tool generation template library;
generating a reference tool according to the tool generation template;
and configuring the reference tool according to the first tool configuration information to obtain the target tool.
In this example, by receiving a tool generation request sent by a target user, the tool generation request carries a target identifier of a target tool and first tool configuration information, determining a tool generation template corresponding to the target identification in a tool generation template library, generating a reference tool according to the tool generation template, configuring the reference tool according to the first tool configuration information to obtain the target tool, so that according to the target identification and the configuration information of the target tool sent by the user, generating a template according to the matched tool corresponding to the target identification, generating a reference tool through the template, compared with the prior art that the target tool is generated in a manual mode usually, the target tool is obtained after the reference tool is configured, and the intelligence and the efficiency of the tool in the generation process can be improved to a certain extent.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It will be appreciated that the government system, in order to implement the above-described functions, includes corresponding hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the terminal may be divided into the functional units according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
In accordance with the above, referring to fig. 6, fig. 6 provides a tool generating device in a government affairs system for the embodiment of the present application, the device includes a receiving unit 601, a first determining unit 602, a first generating unit 603, and a first configuring unit 604, wherein,
a receiving unit 601, configured to receive a tool generation request sent by a target user, where the tool generation request carries a target identifier of a target tool and first tool configuration information;
a first determining unit 602, configured to determine, in a tool generation template library, a tool generation template corresponding to the target identifier;
a first generating unit 603, configured to generate a reference tool according to the tool generation template;
a first configuration unit 604, configured to configure the reference tool according to the first tool configuration information, so as to obtain the target tool.
In the example, the tool generation device in the government affairs system receives the tool generation request sent by the target user, the tool generation request carries a target identification of the target tool and first tool configuration information, determining a tool generation template corresponding to the target identification in a tool generation template library, generating a reference tool according to the tool generation template, configuring the reference tool according to the first tool configuration information to obtain the target tool, so that according to the target identification and the configuration information of the target tool sent by the user, generating a template according to the matched tool corresponding to the target identification, generating a reference tool through the template, compared with the prior art that the target tool is generated in a manual mode usually, the target tool is obtained after the reference tool is configured, and the intelligence and the efficiency of the tool in the generation process can be improved to a certain extent.
Optionally, the tool-generated template library includes a reference identifier and a tool-generated module, and in the tool-generated template library, in terms of determining the tool-generated template corresponding to the target identifier, the first determining unit 602 is specifically configured to:
comparing the target identification with each reference identification in the tool generation template library to obtain the similarity between the target identification and each reference identification;
if the similarity between the target identifier and each reference identifier is smaller than a first similarity threshold, obtaining a tool generation module set according to first tool configuration information, wherein the tool generation module set comprises a plurality of tool generation modules matched with the target tool;
and combining the tool generation modules in the tool generation module set to obtain a tool generation template corresponding to the target identification.
Optionally, in terms of combining the tool generating modules in the tool generating module set to obtain the tool generating template corresponding to the target identifier, the first determining unit 602 is further specifically configured to:
extracting a module identification of each tool generation module in the tool generation module set;
acquiring the priority of the module identifier of each tool generation module, and generating a first combination sequence according to the sequence from high to low of the priority;
sequencing the tool generation modules in the tool module set according to the first combination sequence to obtain a first tool module combination sequence;
and combining the tool generation modules in the tool module set according to the first tool module combination sequence, and when a third tool generation module in the first tool module combination sequence is combined, executing the following steps A, B and C:
the step A comprises the following steps: acquiring first target state information of the target user, and generating a first sub-tool generation module set, wherein the first sub-tool generation module set comprises tool generation modules except combined tool generation modules in the tool generation module set, and the first target state information comprises brain wave signals of the target user;
the step B comprises the following steps: generating a second combination order, the generating the second combination order comprising: preprocessing the brain wave signal to obtain a reference brain wave signal; performing feature extraction on the reference brain wave signal to obtain a target feature value; obtaining a second combination sequence according to the change trend of the characteristic values;
the step C comprises the following steps: sequencing the tool generation modules in the first sub-tool generation module set according to a second combination sequence to obtain a second tool module combination sequence, and combining the tool generation modules in the tool module set according to the second tool module combination sequence;
and repeatedly executing the step A to the step C until all the tool generation modules in the tool generation module set are combined to obtain the tool generation template corresponding to the target identification.
Optionally, referring to fig. 7, fig. 7 provides another tool generation device in a government system according to an embodiment of the present application. The tool generating device in the government affairs system further comprises:
an adding unit 605, configured to add the target identifier and the tool generating template corresponding to the target identifier to the tool generating template library.
Alternatively, referring to fig. 8, fig. 8 is a schematic diagram illustrating another tool generation apparatus in a government system according to an embodiment of the present application. The tool generating device in the government affairs system further comprises:
an obtaining unit 606 for obtaining a facial expression of the target user;
a second determining unit 607, configured to determine the mood of the target user according to the facial expression;
a second generating unit 608, configured to generate second tool configuration information according to the mood of the target user;
a second configuration unit 609, configured to configure the target tool according to the second tool configuration information.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program makes a computer execute part or all of the steps of the tool generation method in any one of the government systems as described in the above method embodiments.
Embodiments of the present application also provide a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program causes a computer to execute part or all of the steps of the tool generation method in any one of the government systems as described in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash memory disks, read-only memory, random access memory, magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (6)
1. A method for generating a tool in a government system, the method comprising:
receiving a tool generation request sent by a target user, wherein the tool generation request carries a target identifier of a target tool and first tool configuration information;
determining a tool generation template corresponding to the target identification in a tool generation template library;
generating a reference tool according to the tool generation template;
configuring the reference tool according to the first tool configuration information to obtain the target tool;
the tool generation template library comprises a reference identifier and a tool generation module, wherein the tool generation template corresponding to the target identifier is determined in the tool generation template library, and the method comprises the following steps:
comparing the target identification with each reference identification in the tool generation template library to obtain the similarity between the target identification and each reference identification;
if the similarity between the target identifier and each reference identifier is smaller than a first similarity threshold, obtaining a tool generation module set according to first tool configuration information, wherein the tool generation module set comprises a plurality of tool generation modules matched with the target tool;
combining the tool generation modules in the tool generation module set to obtain a tool generation template corresponding to the target identifier;
the combining the tool generating modules in the tool generating module set to obtain the tool generating template corresponding to the target identifier includes:
extracting a module identification of each tool generation module in the tool generation module set;
acquiring the priority of the module identifier of each tool generation module, and generating a first combination sequence according to the sequence from high to low of the priority;
sequencing the tool generation modules in the tool generation module set according to the first combination sequence to obtain a first tool module combination sequence;
and combining the tool generation modules in the tool generation module set according to the first tool module combination sequence, and when a third tool generation module in the first tool module combination sequence is combined, executing the following steps A, B and C:
the step A comprises the following steps: acquiring first target state information of the target user, and generating a first sub-tool generation module set, wherein the first sub-tool generation module set comprises tool generation modules except combined tool generation modules in the tool generation module set, and the first target state information comprises brain wave signals of the target user;
the step B comprises the following steps: generating a second combination order, the generating the second combination order comprising: preprocessing the brain wave signal to obtain a reference brain wave signal; performing feature extraction on the reference brain wave signal to obtain a target feature value; obtaining a second combination sequence according to the change trend of the target characteristic value;
the step C comprises the following steps: sequencing the tool generation modules in the first sub-tool generation module set according to a second combination sequence to obtain a second tool module combination sequence, and combining the tool generation modules in the tool generation module set according to the second tool module combination sequence;
and repeatedly executing the step A to the step C until all the tool generation modules in the tool generation module set are combined to obtain the tool generation template corresponding to the target identification.
2. The method of claim 1, further comprising, after combining the plurality of tool generation modules matching the target tool to obtain a tool generation template corresponding to the target identifier:
and adding the target identification and the tool generation template corresponding to the target identification into the tool generation template library.
3. The method according to claim 1 or 2, wherein after said configuring said reference tool according to said first tool configuration information to obtain said target tool, said method further comprises:
acquiring the facial expression of the target user;
determining the mood of the target user according to the facial expression;
generating second tool configuration information according to the mood of the target user;
and configuring the target tool according to the second tool configuration information.
4. A tool generation apparatus in a government system, the apparatus comprising:
the system comprises a receiving unit, a first tool configuration unit and a second tool configuration unit, wherein the receiving unit is used for receiving a tool generation request sent by a target user, and the tool generation request carries a target identifier and first tool configuration information of a target tool;
the first determining unit is used for determining a tool generation template corresponding to the target identifier in a tool generation template library;
the first generation unit is used for generating a reference tool according to the tool generation template;
the first configuration unit is used for configuring the reference tool according to the first tool configuration information to obtain the target tool;
the tool generation template library comprises a reference identifier and a tool generation module, and the first determination unit is specifically configured to:
comparing the target identification with each reference identification in the tool generation template library to obtain the similarity between the target identification and each reference identification;
if the similarity between the target identifier and each reference identifier is smaller than a first similarity threshold, obtaining a tool generation module set according to first tool configuration information, wherein the tool generation module set comprises a plurality of tool generation modules matched with the target tool;
combining the tool generation modules in the tool generation module set to obtain a tool generation template corresponding to the target identifier;
the first determining unit is further specifically configured to:
extracting a module identification of each tool generation module in the tool generation module set;
acquiring the priority of the module identifier of each tool generation module, and generating a first combination sequence according to the sequence from high to low of the priority;
sequencing the tool generation modules in the tool generation module set according to the first combination sequence to obtain a first tool module combination sequence;
and combining the tool generation modules in the tool generation module set according to the first tool module combination sequence, and when a third tool generation module in the first tool module combination sequence is combined, executing the following steps A, B and C:
the step A comprises the following steps: acquiring first target state information of the target user, and generating a first sub-tool generation module set, wherein the first sub-tool generation module set comprises tool generation modules except combined tool generation modules in the tool generation module set, and the first target state information comprises brain wave signals of the target user;
the step B comprises the following steps: generating a second combination order, the generating the second combination order comprising: preprocessing the brain wave signal to obtain a reference brain wave signal; performing feature extraction on the reference brain wave signal to obtain a target feature value; obtaining a second combination sequence according to the change trend of the target characteristic value;
the step C comprises the following steps: sequencing the tool generation modules in the first sub-tool generation module set according to a second combination sequence to obtain a second tool module combination sequence, and combining the tool generation modules in the tool generation module set according to the second tool module combination sequence;
and repeatedly executing the step A to the step C until all the tool generation modules in the tool generation module set are combined to obtain the tool generation template corresponding to the target identification.
5. The apparatus according to claim 4, wherein the tool generating means in the government system further comprises:
and the adding unit is used for adding the target identification and the tool generation template corresponding to the target identification into the tool generation template library.
6. The apparatus according to claim 4 or 5, wherein the tool generating means in the government system further comprises:
an acquisition unit configured to acquire a facial expression of the target user;
the second determining unit is used for determining the mood of the target user according to the facial expression;
the second generating unit is used for generating second tool configuration information according to the mood of the target user;
and the second configuration unit is used for configuring the target tool according to the second tool configuration information.
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