A system and method for implementing project management process groups through custom stages

Abstract

The application discloses a system and method for realizing project management process groups through self-defined stages, which comprises the following steps: step one, device composition; step two, assignment; step three, trigger condition; step four, intelligent triggering; and step five, input record. The application realizes fuzzy searching by calling preset functions LIKE / NOTLIKE in a database, so that similar values and similar values of the input self-defined values can be easily searched, the central processing unit can call the trigger conditions stored in the database to run, the function of intelligent fuzzy matching is realized, the problem that the computer cannot recognize the input instruction of the user when the user inputs incomplete or non-standard instructions is solved, the intelligent effect of the control process group is increased, the user does not need to accurately input the self-defined values, the operation difficulty of the user is reduced, and the intelligent effect of the method for controlling the project management process group is increased.

Description

Technical Field

[0001] This invention relates to the field of computer technology, specifically to a system and method for implementing project management process groups through custom phases. Background Technology

[0002] Computers, also known as micro workstations or integrated processors, are used in project management calculations and operations. They are needed to calculate and run project management processes in customized phases. The high efficiency and accuracy of computers make it easy to calculate and control project filter groups at different stages. In daily life, there is a need to invent a system and method to realize project management process groups through customized phases in order to facilitate the control of management process groups.

[0003] The existing control management process group does not have fuzzy control functionality, which means that when users input incomplete or non-standard instructions, the computer cannot recognize the input, reducing the intelligence effect of the control process group. At the same time, it requires operators to accurately input custom values, which increases the difficulty of operation. Therefore, it is necessary to invent a system and method to realize the project management process group through a custom phase. Summary of the Invention

[0004] The purpose of this invention is to provide a system and method for implementing project management process groups through custom phases, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: including step one, device composition; step two, value assignment; step three, triggering conditions; step four, intelligent triggering; and step five, input recording.

[0006] In step one above, the components are: an information processing system, a computing module, and an execution module. The information processing system consists of: a database, an information input terminal, a network terminal, and an encoder. The computing module includes: a central processing unit, a logic calculator, and a trigger. The execution module includes: a storage module and an assignment module.

[0007] In step two above, the operator sends electromagnetic signals to the database for storage through the information input terminal, and the encoder converts the custom characters stored in the database into electromagnetic signals and sends them to the logic calculator for calculation. The logic calculator performs logical judgment on the custom characters and sends the judgment result to the central processing unit for calculation. The central processing unit can easily calculate the average value of the logic calculator's calculation results to identify the operation required for the custom characters. The assignment module can update the instructions stored in the system, so that the database stores three different trigger conditions and the updated values ​​are sent for encrypted storage, thus realizing the completion of the custom data trigger conditions.

[0008] In step three above, operators input custom data using an information input terminal and send the input data to the internet cloud for comparison via a network terminal. Then, similar data is sent to the central processing unit for calculation. The central processing unit can calculate the average value of the data and use a logic calculator to judge the input information, such as odd / even number judgment, numerical size judgment, and similar value judgment. Based on the judgment results, the trigger is controlled to run. The trigger can compare the trigger requirements of three different sets of trigger conditions within the database and control the trigger conditions that meet the trigger requirements to run. This realizes the function of customizing different stages to control the operation of different management groups.

[0009] In step four above, the central processing unit performs secondary calculations on the input value and calls the database functions LIKE / NOTLIKE to perform fuzzy search, which facilitates finding similar values ​​to the input custom value. The trigger calls the three sets of trigger conditions with the closest trigger values ​​in the database, realizing the function of triggering a wide range of fuzzy similar values. This avoids the inability to call different management groups due to inaccurate input values, and adds the function of intelligent fuzzy matching.

[0010] In step five above, the three preset values ​​within the database facilitate the invocation of different commands, enabling operators to perform tasks such as querying, deleting, storing, and replacing. This provides convenience for subsequent custom triggering of corresponding processing methods, and facilitates the execution of trigger conditions closest to the trigger value. The storage module facilitates the storage of records of electromagnetic signals input by operators, making it easy for operators to query and retrieve these records later. Different custom values ​​facilitate the operation of different modules, and the invocation of the database fuzzy search function facilitates intelligent operation of the system.

[0011] Preferably, in step four, a fuzzy search is performed by calling the database functions LIKE / NOTLIKE to easily find similar values ​​to the input custom value. The LIKE keyword is used in the WHERE clause of the database command to query data. This method is also known as string pattern matching or string fuzzy search. Since the LIKE keyword requires the use of wildcards to search for a specified pattern within the string, wildcard examples need to be preset to facilitate the subsequent retrieval of similar values ​​and the execution of the trigger condition by calling the three sets of closest trigger values ​​in the database. This realizes the function of intelligent fuzzy matching and avoids the inability to call different management groups for execution due to inaccurate input values.

[0012] Compared with the prior art, the beneficial effects of the present invention are:

[0013] This invention performs fuzzy search by calling preset functions LIKE / NOTLIKE in the database, which facilitates finding similar values ​​to the input custom value. This allows the central processing unit to call similar trigger conditions stored in the database for execution, realizing intelligent fuzzy matching. It solves the problem that the computer cannot recognize the user's input when the user inputs incomplete or non-standard instructions, increases the intelligence of the control process group, and reduces the difficulty of operation for users by eliminating the need for precise input of custom values. Attached Figure Description

[0014] Figure 1 This is a flowchart of a system and methodology for implementing project management process groups through custom phases. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] In the description of this invention, it should be noted that the terms "upper," "lower," "inner," "outer," "front end," "rear end," "both ends," "one end," and "the other end," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0017] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installed," "equipped with," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0018] Please see Figure 1 One embodiment provided by the present invention:

[0019] Example 1

[0020] To achieve the above objectives, the present invention provides the following technical solution: a system and method for implementing project management process groups through custom phases, comprising: Step 1, equipment composition; Step 2, value assignment; Step 3, triggering conditions; Step 4, intelligent triggering; and Step 5, input recording.

[0021] In step one above, the components are: an information processing system, a computing module, and an execution module. The information processing system consists of: a database, an information input terminal, a network terminal, and an encoder. The computing module includes: a central processing unit, a logic calculator, and a trigger. The execution module includes: a storage module and an assignment module.

[0022] In step two above, the operator transmits electromagnetic signals to the database for storage through the information input terminal, and the encoder converts the custom characters stored in the database into electromagnetic signals and sends them to the logic calculator for calculation. The logic calculator performs logical judgment on the custom characters and sends the judgment result to the central processing unit for calculation. The central processing unit can easily calculate the average value of the logic calculator's calculation results to identify the operation required for the custom characters. The assignment module can update the instructions stored in the system, so that the database stores three different trigger conditions and the updated values ​​are encrypted, thus realizing the completion of the custom data trigger conditions.

[0023] In step three above, operators input custom data using an information input terminal and send the input data to the internet cloud for comparison via a network terminal. Then, similar data is sent to the central processing unit for calculation. The central processing unit can calculate the average value of the data and use a logic calculator to judge the input information, such as odd / even number judgment, numerical size judgment, and similar value judgment. Based on the judgment results, the trigger is controlled to run. The trigger can compare the trigger requirements of three different sets of trigger conditions within the database and control the trigger conditions that meet the trigger requirements to run. This realizes the function of customizing different stages to control the operation of different management groups.

[0024] In step four above, the central processing unit performs secondary calculations on the input value and calls the database function LIKE / NOTLIKE to perform fuzzy search, which facilitates finding similar values ​​to the input custom value. The trigger calls the three sets of trigger conditions with the closest trigger values ​​in the database, realizing the function of triggering a wide range of fuzzy similar values. This avoids the inability to call different management groups due to inaccurate input values, and adds the function of intelligent fuzzy matching.

[0025] In step five above, the three preset values ​​within the database facilitate the invocation of different commands, enabling operators to perform tasks such as querying, deleting, storing, and replacing. This provides convenience for subsequent custom triggering of corresponding processing methods, and facilitates the execution of trigger conditions closest to the trigger value. The storage module facilitates the storage of records of electromagnetic signals input by operators, making it easy for operators to query and retrieve these records later. Different custom values ​​facilitate the operation of different modules, and the invocation of the database fuzzy search function facilitates intelligent operation of the system.

[0026] Example 2

[0027] In step four, a fuzzy search is performed by calling the database functions LIKE / NOTLIKE to easily find similar values ​​to the input custom value. The LIKE keyword is used in the WHERE clause of the database command to query data. This method is also known as string pattern matching or string fuzzy search. Since the LIKE keyword requires the use of wildcards to search for a specified pattern within the string, wildcards need to be preset. For example, "K%" represents a string of any length that starts with the letter K, "%M%" represents a string of any length that contains the letter M, and "MRKJ" represents a string of 5 characters in length where the last 4 characters are MRKJ. This facilitates the subsequent retrieval of similar values ​​and the execution of the trigger condition by calling the three sets of closest trigger values ​​in the database. This realizes the function of intelligent fuzzy matching and avoids the inability to call different management groups due to inaccurate input values.

[0028] Any aspects of this invention not described in detail are well-known to those skilled in the art.

[0029] Finally, it should be noted that the above specific embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to the embodiments, those skilled in the art should understand that modifications and equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications and substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A system for implementing project management process groups through custom phases, comprising an information processing system, a calculation module, and an execution module, characterized in that, The information processing system includes a database, an information input terminal, a network terminal, and an encoder; the computing module includes a central processing unit, a logic calculator, and a trigger; and the execution module includes a storage module and an assignment module. The method of using the system includes the following steps: Step 1, Assignment: The operator sends electromagnetic signals to the database for storage through the information input terminal. The encoder converts the custom data stored in the database into electromagnetic signals and sends them to the logic calculator for calculation. The logic calculator performs logical judgment on the custom data and sends the judgment result to the central processing unit for calculation. The central processing unit calculates the average of the logic calculator's calculation result and identifies the operation required for the custom data. The assignment module updates the system's internal storage instructions, enabling the database to store three different sets of trigger conditions and encrypting the updated values ​​for storage. Step two, triggering conditions: The operator inputs custom data using the information input terminal and sends the input data to the Internet cloud for comparison via a network terminal. Similar data is sent to the central processing unit for calculation. The central processing unit calculates the average value of the data, and the logic calculator judges the input information, including odd / even number judgment, numerical size judgment, and similar value judgment. Based on the judgment results, the trigger is controlled to run. The trigger compares the trigger requirements of three different sets of trigger conditions within the database and controls the trigger conditions that meet the trigger requirements to run. Step 3, intelligent triggering: The central processing unit performs secondary calculations on the input value and calls the database function LIKE / NOT LIKE to perform fuzzy search, finding similar values ​​to the input custom data. The trigger calls the trigger conditions of the three sets of closest trigger values ​​in the database to run, realizing the function of triggering a wide range of fuzzy similar values, avoiding the inability to call different management groups to run due to inaccurate input values. Step four: Input records. The database contains three sets of preset values ​​that call different instructions for operators to perform query, delete, store, and replace operations. The storage module stores the electromagnetic signal records input by the operator for subsequent query and retrieval.

2. The system for implementing project management process groups through custom phases as described in claim 1, characterized in that, In step three, the fuzzy search calls the database function LIKE / NOT LIKE. The LIKE keyword is used in the WHERE clause of the database command to query data. The method is to use string pattern matching or string fuzzy search. The LIKE keyword uses wildcards to search for the specified pattern in the string. The wildcard example is preset. When similar values ​​are found, the trigger condition of the three sets of closest trigger values ​​in the database is called through the trigger.

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