CN113987417A - Data self-modification system and method and computer device - Google Patents
Data self-modification system and method and computer device Download PDFInfo
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Abstract
The application discloses a data self-modifying system, a data self-modifying method and a computer device, wherein the data self-modifying method comprises the steps of associating data corresponding to at least one operation item in a main program with data corresponding to at least one generation item according to an association relation preset by a user; monitoring the action of a user for operating the operation item; responding to the action of the operation item operated by the user, and adjusting the data corresponding to the generation item according to the incidence relation.
Description
Technical Field
The present invention relates to a data modification system, and more particularly, to a data self-modification system, method and computer device.
Background
Commercial BI, CRM, etc. systems are currently in widespread use. These systems are capable of recording process data for business operations and of accounting for data in the systems. However, after the development of these systems is completed, the rules of the statistical data are often fixed. This has the result that all data in the system will run according to the preset rules.
Because the data operation rule is designed with more data, when several data need to be selectively associated, the system is rigid due to the limitation of the data operation rule. Specifically, different users have different requirements for the functions of the system, and therefore, the operation rules of the data associated with each other are different.
Since the modification of the data rule involves many data objects, in the prior art, when several data need to be selectively associated, the data rule is often modified by re-developing a set of system or modifying a large amount, which is not only time-consuming but also extremely costly. If the corresponding data operation rule is modified separately, the use of the system needs to be stopped, which causes inconvenience to the user.
Disclosure of Invention
One advantage of the present invention is to provide a data self-modifying system, a method and a computer device, wherein the data self-modifying system can modify the data operation rule set by the main program according to the requirement of the user without affecting the operation of the whole main program, so that the data self-modifying system can operate according to the modified data operation rule, thereby making the main program more personalized.
Another advantage of the present invention is to provide a data self-modifying system, method and computer apparatus, wherein the data self-modifying system can avoid the re-development of users, thereby saving the development cost of users.
It is another advantage of the present invention to provide a data self-modifying system, method and computer apparatus that assists a user in re-associating data in the main program.
Another advantage of the present invention is to provide a data self-modifying system, method and computer device, wherein the main data self-modifying system is embedded in the main program, so that a user can self-define and modify the data operation rules set by the main program, and thus data can be associated with each other.
To achieve at least one of the above advantages, the present invention provides a data self-modifying method, including:
associating at least one operation item and at least one generation item in the main program according to an association relation preset by a user;
monitoring the action of a user for operating the operation item;
and responding to the action of the operation item operated by the user, and adjusting the value of the generation item according to the incidence relation.
According to an embodiment of the invention, the association relationship between the operation item and the generation item is customized.
According to an embodiment of the present invention, the data self-modifying method includes:
assigning values to the sub-items of the operation items respectively, and comparing the values generated in the generation items through the association relation with a preset reference value;
when the compared results are consistent, outputting a result of successful modification; and when the compared results are inconsistent, outputting the result of failed modification.
According to an embodiment of the present invention, the data self-modifying method includes:
acquiring characteristic values and data corresponding to the characteristic values of the current operation item and the current generation item in the main program;
judging whether the data corresponding to the characteristic value of the current operation item contains the characteristic value corresponding to the current generation item or not according to the respective characteristic values of the current operation item and the current generation item; and
when the data corresponding to the characteristic value of the current operation item contains the characteristic value corresponding to the current generation item, forming a recommendation strategy to recommend and associate the current operation item and the current generation item;
and outputting the recommendation strategy.
According to an embodiment of the present invention, the current operation item and the current generation item are displayed on the same display interface of the main program.
According to an embodiment of the present invention, the data self-modifying method further includes:
predicting the relation between the current operation item and the current generation item in the main program;
recommending one incidence relation of the user and a modification strategy for modifying the incidence relation according to the predicted result and the incidence relation which is customized by the user and stored in the main program; and
and outputting the modification strategy.
According to another aspect of the present invention, to achieve at least one of the above advantages, the present invention provides a computer apparatus including a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the data self-modifying method as described in any one of the above.
According to another aspect of the present invention, to achieve at least one of the above advantages of the present invention, there is provided a data self-modifying system including:
the association module is set to associate at least one operation item and at least one generation item in the main program according to an association relation preset by a user;
a monitoring module, which is set up to be connected with the association module in a communication way so as to monitor the action of the user for operating the operation item;
an execution module, communicatively coupled to the monitoring module, for responding to an action of the operation item operated by a user and adjusting the value of the generation item according to the association relationship.
According to an embodiment of the present invention, the data self-modifying system includes a data collecting module, a judging module, and a recommending module, wherein the data collecting module, the judging module, and the recommending module are communicably connected to each other, the data collecting module is configured to collect feature values of a current operation item and a current generation item and data corresponding to the feature values, the judging module is configured to judge whether the data corresponding to the feature values of the current operation item includes the feature value corresponding to the current generation item according to the feature values of the current operation item and the current generation item, the recommending module is configured to form a recommending policy to recommend associating the current operation item and the current generation item when the data corresponding to the feature values of the current operation item includes the feature value corresponding to the current generation item, the execution module is configured to output the recommendation policy.
According to an embodiment of the present invention, the data self-modifying system further includes a prediction module, wherein the prediction module is communicably connected to the recommendation module, the prediction module is configured to predict a relationship between a currently operating item and a currently generated item in the main program, the recommendation module is configured to recommend to a user one of the associations and a modification policy for modifying the association based on a result of the prediction and the association customized by the user and stored in the main program, and the execution module is configured to output the modification policy.
Drawings
Fig. 1 shows a flow chart of the data self-modifying method of the present invention.
FIG. 2 is a schematic diagram of a display interface of the main program before the data self-modifying method is executed.
FIG. 3A is a schematic diagram of a display interface of the main program after the data self-modifying method is executed.
FIG. 3B is a schematic diagram of another display interface of the main program after the data self-modifying method is executed.
Fig. 4A is a schematic diagram of a display interface of a second example of the main program after executing the data self-modification method according to the present invention.
FIG. 4B is another schematic diagram of another display interface of the second example of the main program after executing the data self-modifying method.
Fig. 5 shows a schematic view of a computer arrangement according to the invention.
Fig. 6 shows a block diagram of the data self-modifying system of the present invention.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art. The basic principles of the invention, as defined in the following description, may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
In a typical controller configuration of the present application, the terminal, the device serving the network, and the trusted party each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium. Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
Referring to fig. 1 to 5, a data self-modification method according to a preferred embodiment of the present invention will be described in detail below, wherein the data self-modification method is adapted to automatically modify the rule of data operation in response to a modification operation by a user in a case where the main program is operating normally. Therefore, the main program does not need to be re-developed, and the cost of program development is saved.
Specifically, the data self-modifying method includes:
s101; associating data corresponding to at least one operation item in the main program with data corresponding to at least one generation item according to an association relation preset by a user;
s102; monitoring the action of a user for operating the operation item;
s103; responding to the action of the operation item operated by the user, and adjusting the data corresponding to the generation item according to the incidence relation.
It can be understood that, in the main program, there is originally no special association relationship or a preset association relationship between the data corresponding to the operation item and the data corresponding to the generation item. However, by executing the data self-modifying method, the data corresponding to the operation item and the data corresponding to the generation item can be associated with each other through the association relationship.
Thus, the data operation rule in the main program is inevitably changed. When the user changes the data operation rule, a set of main program does not need to be re-developed, and only the incidence relation between the operation item and the generation item needs to be modified on the basis of the original main program. That is, when the data rules in the main program need to be modified, only a small amount of code is required to implement the modification.
It should be noted that, in the step S102, the data self-modifying method may monitor an action of the user operating the operation item, and in the step S103, in response to the action of the operation item operated by the user, adjust the data corresponding to the generation item according to the association relationship. Therefore, the rule of data operation in the main program can be automatically modified by executing the data self-modification method.
As shown in fig. 2, 3A and 3B, in this example, a "check box group" is the operation item, data checked by the "check box group" is data corresponding to the operation item, a "number" is a generation item, and data filled by the "number" is data corresponding to the generation item. When the number of the selected operation items corresponding to the check box group is changed, the data corresponding to the generation items corresponding to the numbers are not changed due to the change of the operation items, and the user needs to inquire and input the data by himself.
In order to enable the data filled in the generated item corresponding to the number to be changed along with the change of the sub item selected by the user of the operation item corresponding to the check box group. The operation item corresponding to the "number" and the operation item corresponding to the "check box group" need to be associated.
However, in the prior art, after the program is developed, the check box group and the number are also associated with other data, so that the program cannot be realized simply through modification of data rules, and the main program is often required to be rewritten. However, by implementing the data self-modifying method, the data corresponding to the generated item corresponding to the number can be favorably changed along with the change of the sub-item selected by the user of the operation item corresponding to the check box group. Thus, not only can errors caused by manual input be prevented, but also the rule of the main program data operation can be optimized.
Further, in the step S101, the association relationship is set to be user-defined. That is, the user can customize the association between the operation item and the generation item. Therefore, the main program can be more personalized, and users with different requirements can be further met.
It is worth mentioning that the operation item and the generation item are associated with each other by an identifier that uniquely identifies the operation item and the generation item.
In step S103, the manner of the user operation may be checking, single-selecting or multi-selecting, and the present invention is not limited in this respect. As shown in particular in fig. 3A and 3B. In addition, the association relationship in step S101 may be implemented as an addition relationship or a subtraction relationship. For example, in the example shown in fig. 3A and 3B, the association relationship may be implemented as: the generated item corresponding to the number is equal to the sum of the data corresponding to all the sub-items selected by the user in the check box group.
Further, the data self-modifying method comprises the following steps:
s104, respectively assigning values to the sub items of the operation items, and comparing the data generated by the sub items in the generation items through the incidence relation with a preset data reference value;
s105, when the comparison results are consistent, outputting a result of successful modification; and when the compared results are inconsistent, outputting the result of failed modification.
Therefore, after the operation item and the generation item are associated with each other, the data self-modifying method can automatically verify whether the data operation rule between the operation item and the generation item can operate normally by executing the step S104 and the step S105, and thus, feedback can be effectively provided for the user.
For example, in the above example, the sub-items of the operation items are "contact item person in charge of 5%", "apply for 15% by my party", "invite to investigate 20%", and "specify to bid document 20%". By selecting different sub-items and assigning values to the selected sub-items, corresponding data can be generated in the generating items. And comparing the data corresponding to the generated item with a preset data reference value, so that whether the data corresponding to the operation item and the data corresponding to the generated item are correctly associated can be judged.
Further, the data self-modifying method comprises the following steps:
s106, collecting the respective characteristic values and the data corresponding to the characteristic values of the current operation item and the current generation item in the main program;
s107, judging whether the data corresponding to the characteristic value of the current operation item contains the characteristic value corresponding to the current generation item or not according to the respective characteristic values of the current operation item and the current generation item; and
s108, when the data corresponding to the characteristic value of the current operation item contains the characteristic value corresponding to the current generation item, a recommendation strategy is formed to recommend and associate the current operation item and the current generation item;
and S109, outputting the recommendation strategy.
As shown in fig. 4A and 4B, in the main routine, the characteristic value of the operation item "association contract" is a contract, and the data corresponding to the characteristic value of the operation item "association contract" is information of the contract. The contract information includes "contract 1 person in charge" and "contract 2 person in charge". The characteristic value (responsible person) of the currently generated item "responsible person" exists in the data contained in the data corresponding to the characteristic value of the currently operated item "associated contract". Therefore, the operation item "association contract" and the generation item "responsible person" can be associated. Therefore, the data self-modifying method generates a recommendation policy for recommending a user to associate the current operation item with the generated item by executing the step S108 and the step S109, and then outputs the recommendation policy.
In one embodiment, the current operation item and the current generation item in step S106 are displayed on the same display interface of the main program. In another embodiment, the currently operated item and the currently generated item in the step S106 are displayed on different display interfaces of the main program. It can be understood by those skilled in the art that whether the current operation item and the current generation item are displayed on the same interface of the main program can be determined by determining the characteristic values or the identifications of the current operation item and the current generation item.
Further, the data self-modifying method further comprises the following steps:
s201, predicting the relation between the current operation item and the current generation item in the main program;
s202, recommending one incidence relation of the user and a modification strategy for modifying the incidence relation according to the predicted result and the incidence relation which is customized by the user and stored in the main program; and
s203, outputting the modification strategy.
It will be appreciated that the association between the currently operated item and the currently generated item is substantially similar to the association that the user has previously used. Except that the characteristic values and/or identifications of the currently operating item and the currently generated item need to be modified. When the association relation and the modification strategy are recommended in such a way, persons who are not in the industry can rapidly modify the main program, so that the persons who are not in the industry can modify the main program to make the main program more practical.
It should be noted that, in step S201, predicting the relationship between the current operation item and the current generation item in the main program may analyze the feature value of the current operation item and the data corresponding to the feature value in a word meaning analysis manner, analyze the feature value of the current generation item and the data corresponding to the feature value in a word meaning analysis manner, and further determine the relationship between the current operation item and the current generation item according to the analysis result. Generally, the currently generated item is often a sum relation, a subtraction relation, a maximum value relation and/or a minimum value relation of data corresponding to the characteristic value of the currently operated item in response to the action of the user for operating the operated item.
Referring to fig. 5, according to another aspect of the invention, the invention also discloses a computer arrangement comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the method of: associating at least one operation item and at least one generation item in the main program according to an association relation preset by a user; monitoring the action of a user for operating the operation item; and responding to the action of the operation item operated by the user, and adjusting the value of the generation item according to the incidence relation.
A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to perform the steps of the method of: associating at least one operation item and at least one generation item in the main program according to an association relation preset by a user; monitoring the action of a user for operating the operation item; and responding to the action of the operation item operated by the user, and adjusting the value of the generation item according to the incidence relation.
In one embodiment, the computer program, when executed by the processor, causes the processor to perform the method further steps of: assigning values to the sub-items of the operation items respectively, and comparing the values generated in the generation items through the association relation with a preset reference value; when the compared results are consistent, outputting a result of successful modification; and when the compared results are inconsistent, outputting the result of failed modification.
In one embodiment, the computer program, when executed by the processor, causes the processor to perform the method further steps of: acquiring characteristic values and data corresponding to the characteristic values of the current operation item and the current generation item; judging whether the data corresponding to the characteristic value of the current operation item contains the characteristic value corresponding to the current generation item or not according to the respective characteristic values of the current operation item and the current generation item; when the data corresponding to the characteristic value of the current operation item contains the characteristic value corresponding to the current generation item, forming a recommendation strategy to recommend and associate the current operation item and the current generation item; and outputting the recommendation strategy.
In one embodiment, the computer program, when executed by the processor, causes the processor to perform the method further steps of: predicting the relation between the current operation item and the current generation item in the main program; recommending one incidence relation of the user and a modification strategy for modifying the incidence relation according to the predicted result and the incidence relation which is customized by the user and stored in the main program; and outputting the modification strategy.
Referring to fig. 6, according to another aspect of the present invention, the present invention further provides a data self-modifying system, wherein the data self-modifying system includes an association module 10, a monitoring module 20 and an execution module 30.
Specifically, the association module 10 is configured to associate data corresponding to at least one operation item in the main program with data corresponding to at least one generation item according to an association relationship preset by a user. The monitoring module 20 is configured to be communicatively connected to the association module 10 to monitor the action of the user operating the operation item. The execution module 30 is communicatively connected to the monitoring module 20, and is configured to respond to the operation of the operation item by the user and adjust the data corresponding to the generation item according to the association relationship.
Further, the data self-modifying system further includes a data collecting module 40, a determining module 50, and a recommending module 60, wherein the data collecting module 40, the determining module 50, and the recommending module 60 are communicably connected to each other. Further, the recommendation module 60 is communicatively connected to the execution module 30.
Specifically, the data collection module 40 is configured to collect characteristic values and data corresponding to the characteristic values of the current operation item and the current generation item. The judging module 50 is configured to judge whether the data corresponding to the feature value of the current operation item includes the feature value corresponding to the current generation item according to the feature values of the current operation item and the current generation item. The recommending module 60 is configured to form a recommending strategy to recommend and associate the current operation item and the current generation item when the data corresponding to the feature value of the current operation item includes the feature value corresponding to the current generation item. The enforcement module 30 is configured to output the recommended policy.
Further, the data self-modifying system includes a verification module 70 and a comparison module 80, wherein the verification module 70 is communicatively connected to the comparison module 80, wherein the comparison module 80 is communicatively connected to the execution module 30. The verification module 70 is configured to assign values to the sub-items of the operation item, and the comparison module 80 is configured to compare the value generated in the generation item by the association relation with a preset reference value. The execution module 30 is arranged to output the alignment structure. Specifically, when the compared results are consistent, outputting a result of successful modification; and when the compared results are inconsistent, outputting the result of failed modification.
Still further, the data self-modifying system further comprises a prediction module 90, wherein the prediction module 90 is communicatively coupled to the recommendation module 60. Specifically, the prediction module 90 is configured to predict the relationship between the currently operated item and the currently generated item in the main program. The recommending module 60 is configured to recommend to the user an association and a modification policy for modifying the association based on the predicted result and the association customized by the user and stored in the main program. The execution module 30 is arranged to output the modification policy.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are given by way of example only and are not limiting of the invention. The advantages of the present invention have been fully and effectively realized. The functional and structural principles of the present invention have been shown and described in the examples, and any variations or modifications of the embodiments of the present invention may be made without departing from the principles.
Claims (10)
1. A data self-modifying method is characterized in that the data self-modifying method comprises the following steps:
associating data corresponding to at least one operation item in the main program with data corresponding to at least one generation item according to an association relation preset by a user;
monitoring the action of a user for operating the operation item;
responding to the action of the operation item operated by the user, and adjusting the data corresponding to the generation item according to the incidence relation.
2. The data self-modifying method of claim 1, wherein the association between the operation item and the generation item is customized.
3. The data self-modifying method according to claim 1, wherein the data self-modifying method comprises:
assigning values to the sub items of the operation items respectively, and comparing the data generated by the sub items in the generation items through the incidence relation with a preset data reference value;
when the compared results are consistent, outputting a result of successful modification; and when the compared results are inconsistent, outputting the result of failed modification.
4. The data self-modifying method according to claim 1, wherein the data self-modifying method comprises:
acquiring characteristic values and data corresponding to the characteristic values of the current operation item and the current generation item in the main program;
judging whether the data corresponding to the characteristic value of the current operation item contains the characteristic value corresponding to the current generation item or not according to the respective characteristic values of the current operation item and the current generation item; and
when the data corresponding to the characteristic value of the current operation item contains the characteristic value corresponding to the current generation item, forming a recommendation strategy to recommend and associate the current operation item and the current generation item;
and outputting the recommendation strategy.
5. The data self-modifying method of claim 4, wherein a currently operated item and a currently generated item are displayed on the same display interface of the main program.
6. The data self-modifying method of claim 4, further comprising:
predicting the relation between the current operation item and the current generation item in the main program;
recommending one incidence relation of the user and a modification strategy for modifying the incidence relation according to the predicted result and the incidence relation which is customized by the user and stored in the main program; and
and outputting the modification strategy.
7. A computer arrangement comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform a method of self-modifying data as claimed in any one of claims 1 to 6.
8. A data self-modifying system, comprising:
the association module is set to associate data corresponding to at least one operation item in the main program with data corresponding to at least one generation item according to an association relation preset by a user;
a monitoring module, which is set up to be connected with the association module in a communication way so as to monitor the action of the user for operating the operation item;
and the execution module is connected with the monitoring module in a communication way so as to respond to the action of the operation item operated by the user and adjust the data corresponding to the generation item according to the incidence relation.
9. The self-modifying system of claim 8, comprising a data collecting module, a determining module, and a recommending module, wherein the data collecting module, the determining module, and the recommending module are communicatively connected to each other, the data collecting module is configured to collect feature values of the current operation item and the current generation item and data corresponding to the feature values, the determining module is configured to determine whether the data corresponding to the feature values of the current operation item includes the feature value corresponding to the current generation item according to the feature values of the current operation item and the current generation item, the recommending module is configured to form a recommending policy to recommend the current operation item and the current generation item to be associated with each other when the data corresponding to the feature values of the current operation item includes the feature value corresponding to the current generation item, the execution module is configured to output the recommendation policy.
10. The data self-modifying system according to claim 9, further comprising a prediction module, wherein the prediction module is communicatively connected to the recommendation module, the prediction module is configured to predict a relationship between a currently operating item and a currently generated item in the main program, the recommendation module is configured to recommend to the user a relationship between the currently operating item and the currently generated item based on a result of the prediction and the relationship defined by the user and stored in the main program, and a modification policy for modifying the relationship, and the execution module is configured to output the modification policy.
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