Financial data integration method and system, computer and readable storage medium

Abstract

The invention provides a financial data integration method and system, a computer and a readable storage medium, and the method comprises the steps: receiving a financial data set inputted by a user in real time, and carrying out the full scanning of the financial data set, so as to correspondingly detect a plurality of financial elements contained in the financial data set; respectively matching a target data subset corresponding to each financial element in the financial data set, wherein each target data subset comprises a specific numerical value; performing standardization processing on each target data subset based on a first preset rule to generate a plurality of corresponding standard data sets, each standard data set including different contents; and creating a target two-dimensional coordinate system in real time, respectively mapping a target data curve corresponding to each standard data set in the target two-dimensional coordinate system based on a second preset rule, and respectively adding a corresponding data identifier to each target data curve. The working efficiency can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a financial data integration method, system, computer and readable storage medium. Background Art

[0002] With the advancement of technology and the rapid development of the times, people have established various types of enterprises to provide people with products or services, which has made people's lives more convenient.

[0003] Among them, existing enterprises will have certain expenses and incomes in the course of daily operations, which will generate corresponding financial data, and the operating conditions of the enterprise can be intuitively reflected from the financial data, so it is particularly important to effectively manage the financial data.

[0004] Furthermore, in the process of processing financial data, most of the existing technologies will first distinguish the categories of various financial data, and then generate corresponding financial statements based on each category. However, although this method enables staff to observe the required financial data, it takes a long time and is prone to confusion when viewing the results, which correspondingly reduces work efficiency. Summary of the invention

[0005] Based on this, the purpose of the present invention is to provide a financial data integration method, system, computer and readable storage medium to solve the problem that the prior art requires staff to spend a long time to view financial data and is easily confused about the viewing results.

[0006] The first aspect of the embodiment of the present invention proposes:

[0007] A financial data integration method, wherein the method comprises:

[0008] Receiving a financial data set input by a user in real time, and performing a full scan on the financial data set to detect a number of financial elements contained in the financial data set;

[0009] Matching target data subsets corresponding to each of the financial elements in the financial data set, each of the target data subsets contains a specific value;

[0010] Performing standardization processing on each of the target data subsets based on a first preset rule to generate a plurality of corresponding standard data sets, each of the standard data sets containing different contents;

[0011] A target two-dimensional coordinate system is created in real time, and target data curves corresponding to each of the standard data sets are respectively mapped in the target two-dimensional coordinate system based on a second preset rule, and corresponding data identifiers are respectively added to each of the target data curves.

[0012] The beneficial effect of the present invention is that by performing a full scan on the financial data set input by the user, it is possible to obtain a number of corresponding financial elements contained in the current financial data set. Based on this, targeted processing can be performed separately, and the required target data subsets can be matched separately. Further, corresponding standardization processing is performed separately, so that they can be uniformly converted into a standard format, and finally displayed in the form of a curve in the same target two-dimensional coordinate system, so that the staff can view multiple different data at the same time, and the results of each data are relatively obvious, which correspondingly improves work efficiency.

[0013] Furthermore, the step of performing standardization processing on each of the target data subsets based on the first preset rule to generate a number of corresponding standard data sets includes:

[0014] When each of the target data subsets is acquired in real time, a number of target values ​​correspondingly contained in the target data subset are detected in real time;

[0015] The target time nodes corresponding to each target value when it is generated are detected in real time, and the target data subset corresponding to it is standardized based on the target time node to generate a corresponding standard data set, and the target time node is a specific value.

[0016] Furthermore, the step of performing standardization processing on the target data subset corresponding to the target time node to generate a corresponding standard data set includes:

[0017] When each of the target time nodes is acquired in real time, the corresponding start time node and end time node are detected in real time;

[0018] Determine in real time a target time threshold corresponding to the target data subset according to the start time node and the end time node;

[0019] The target data subset is standardized according to the target time threshold to generate the standard data set accordingly, and the target time threshold is unique.

[0020] Furthermore, the step of performing standardization processing on the target data subset according to the target time threshold to correspondingly generate the standard data set includes:

[0021] When the target time threshold is obtained in real time, a corresponding initial time axis is created according to the target time threshold;

[0022] Mapping each of the target time nodes to the interior of the initial time axis to generate a corresponding target time axis in real time;

[0023] According to each of the target time nodes, each of the target values ​​is mapped to the inside of the target time axis to generate a corresponding complete time axis in real time, and the complete time axis is set as the standard data set, and the complete time axis is unique.

[0024] Furthermore, the step of mapping the target data curves corresponding to each of the standard data sets in the target two-dimensional coordinate system based on the second preset rule includes:

[0025] When each of the standard data sets is acquired in real time, each of the complete time axes is correspondingly extracted in real time;

[0026] Performing parsing processing on each of the complete time axes to detect a time format and a numerical format corresponding to each of the complete time axes;

[0027] The standard data set is mapped to the target two-dimensional coordinate system based on the time format and the numerical format to generate the target data curve accordingly.

[0028] Furthermore, the step of mapping the standard data set to the target two-dimensional coordinate system based on the time format and the numerical format to generate the target data curve includes:

[0029] When the time format and the numerical format corresponding to each of the complete time axes are respectively determined, it is determined in real time whether the time formats and the numerical formats of the complete time axes are consistent with each other;

[0030] If it is determined in real time that the time formats of each of the complete time axes are consistent with each other and the numerical formats are unified, a target data curve corresponding to the complete time axis is directly generated in real time in the target two-dimensional coordinate system according to the complete time axis.

[0031] Furthermore, the step of directly generating a corresponding target data curve in the target two-dimensional coordinate system in real time according to the complete time axis includes:

[0032] The time correspondence is set as the x-axis of the target two-dimensional coordinate system, and the value correspondence is set as the y-axis of the target two-dimensional coordinate system;

[0033] Detecting the starting point and the ending point corresponding to the complete time axis in real time, and mapping each of the target values ​​to the target two-dimensional coordinate system in turn according to the direction from the starting point to the ending point, so as to generate a number of connection points accordingly;

[0034] Each of the connection points is connected in sequence to generate the target data curve accordingly.

[0035] The second aspect of the embodiment of the present invention proposes:

[0036] A financial data integration system, wherein the system comprises:

[0037] A detection module, used for receiving a financial data set input by a user in real time, and performing a full scan on the financial data set to detect a number of financial elements contained in the financial data set;

[0038] A matching module, used to match the target data subsets corresponding to each of the financial elements in the financial data set, each of the target data subsets containing specific values;

[0039] A processing module, configured to perform standardization processing on each of the target data subsets based on a first preset rule to generate a plurality of corresponding standard data sets, wherein each of the standard data sets contains different contents;

[0040] The mapping module is used to create a target two-dimensional coordinate system in real time, and map the target data curves corresponding to each of the standard data sets in the target two-dimensional coordinate system based on a second preset rule, and add corresponding data identifiers to each of the target data curves.

[0041] Furthermore, the processing module is specifically used for:

[0042] When each of the target data subsets is acquired in real time, a number of target values ​​correspondingly contained in the target data subset are detected in real time;

[0043] The target time nodes corresponding to each target value when it is generated are detected in real time, and the target data subset corresponding to it is standardized based on the target time node to generate a corresponding standard data set, and the target time node is a specific value.

[0044] Furthermore, the processing module is specifically used for:

[0045] When each of the target time nodes is acquired in real time, the corresponding start time node and end time node are detected in real time;

[0046] Determine in real time a target time threshold corresponding to the target data subset according to the start time node and the end time node;

[0047] The target data subset is standardized according to the target time threshold to generate the standard data set accordingly, and the target time threshold is unique.

[0048] Furthermore, the processing module is specifically used for:

[0049] When the target time threshold is obtained in real time, a corresponding initial time axis is created according to the target time threshold;

[0050] Mapping each of the target time nodes to the interior of the initial time axis to generate a corresponding target time axis in real time;

[0051] According to each of the target time nodes, each of the target values ​​is mapped to the inside of the target time axis to generate a corresponding complete time axis in real time, and the complete time axis is set as the standard data set, and the complete time axis is unique.

[0052] Furthermore, the mapping module is specifically used for:

[0053] When each of the standard data sets is acquired in real time, each of the complete time axes is correspondingly extracted in real time;

[0054] Performing parsing processing on each of the complete time axes to detect a time format and a numerical format corresponding to each of the complete time axes;

[0055] The standard data set is mapped to the target two-dimensional coordinate system based on the time format and the numerical format to generate the target data curve accordingly.

[0056] Furthermore, the mapping module is specifically used for:

[0057] When the time format and the numerical format corresponding to each of the complete time axes are respectively determined, it is determined in real time whether the time formats and the numerical formats of the complete time axes are consistent with each other;

[0058] If it is determined in real time that the time formats of each of the complete time axes are consistent with each other and the numerical formats are unified, a target data curve corresponding to the complete time axis is directly generated in real time in the target two-dimensional coordinate system according to the complete time axis.

[0059] Furthermore, the mapping module is specifically used for:

[0060] The time correspondence is set as the x-axis of the target two-dimensional coordinate system, and the value correspondence is set as the y-axis of the target two-dimensional coordinate system;

[0061] Detecting the starting point and the ending point corresponding to the complete time axis in real time, and mapping each of the target values ​​to the target two-dimensional coordinate system in turn according to the direction from the starting point to the ending point, so as to generate a number of connection points accordingly;

[0062] Each of the connection points is connected in sequence to generate the target data curve accordingly.

[0063] The third aspect of the embodiment of the present invention proposes:

[0064] A computer comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the financial data integration method as described above when executing the computer program.

[0065] The fourth aspect of the embodiments of the present invention proposes:

[0066] A readable storage medium stores a computer program, wherein the program, when executed by a processor, implements the financial data integration method as described above.

[0067] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 A flowchart of a financial data integration method provided by a first embodiment of the present invention;

[0069] Figure 2 This is a structural block diagram of a financial data integration system provided in the third embodiment of the present invention.

[0070] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0071] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0072] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0073] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0074] See also Figure 1 , shown is the financial data integration method provided by the first embodiment of the present invention. The financial data integration method provided by this embodiment enables the staff to view multiple different data at the same time, and the results of each data are relatively obvious, which correspondingly improves the work efficiency.

[0075] Specifically, this embodiment provides:

[0076] A financial data integration method specifically comprises the following steps:

[0077] Step S10, receiving the financial data set input by the user in real time, and performing a full scan on the financial data set to detect a number of financial elements contained in the financial data set;

[0078] Step S20, matching the target data subsets corresponding to each of the financial elements in the financial data set, each of the target data subsets containing a specific value;

[0079] Step S30, performing standardization processing on each of the target data subsets based on a first preset rule to generate a plurality of corresponding standard data sets, each of the standard data sets containing different contents;

[0080] Step S40, creating a target two-dimensional coordinate system in real time, and mapping target data curves corresponding to each of the standard data sets in the target two-dimensional coordinate system based on a second preset rule, and adding corresponding data identifiers to each of the target data curves.

[0081] Specifically, in this embodiment, it should be noted that, in order to accurately and effectively complete the centralized processing of various financial data, it is necessary to accurately obtain the characteristics of various financial data and perform unified standardized processing, so that standardized display can be performed in a unified interface. Based on this, in the process of actual application, the present invention will pre-set a server, and correspondingly set the financial data integration method inside the server. Preferably, in the process of daily use, the server will always be in a standby state, wherein, when the server receives the financial data set input by the user through the user terminal in real time, the server will immediately enable the financial data integration method. Specifically, the present invention will immediately perform a full scan of the current financial data set. At the same time, it can detect the corresponding financial elements contained in the current financial data set. Preferably, the financial elements can be profits, assets and liabilities, and cash flow, etc.

[0082] Furthermore, after determining in real time the objects to be processed, i.e., the aforementioned financial elements, the present invention will further match the target data subsets corresponding to each current financial element one by one within the current financial data set. Specifically, the target data subset contains a series of specific numerical values. Based on this, in order to enable the staff to intuitively observe the data corresponding to each target data subset, preferably, the present invention will first perform standardization processing on each current target data subset according to a pre-set first preset rule, and generate a number of standard data sets accordingly. Similarly, the contents corresponding to each current standard data set are also different. On this basis, in order to enable intuitive display, preferably, the present invention will create a target two-dimensional coordinate system in real time through existing CAD or UG and other software, and further, immediately map the data contained in each current standard data set to the interior of the current target two-dimensional coordinate system one by one according to the pre-set second preset rule, and form corresponding target data curves one by one. Specifically, the changes in each current target data curve can intuitively reflect the changes in each of the above-mentioned financial elements. At the same time, corresponding data identifiers will be added to each current target data curve in real time to make a clear distinction, so that the staff can observe multiple data at the same time, thereby correspondingly improving work efficiency.

[0083] Second embodiment

[0084] Furthermore, the step of performing standardization processing on each of the target data subsets based on the first preset rule to generate a number of corresponding standard data sets includes:

[0085] When each of the target data subsets is acquired in real time, a number of target values ​​correspondingly contained in the target data subset are detected in real time;

[0086] The target time nodes corresponding to each target value when it is generated are detected in real time, and the target data subset corresponding to it is standardized based on the target time node to generate a corresponding standard data set, and the target time node is a specific value.

[0087] Furthermore, the step of performing standardization processing on the target data subset corresponding to the target time node to generate a corresponding standard data set includes:

[0088] When each of the target time nodes is acquired in real time, the corresponding start time node and end time node are detected in real time;

[0089] Determine in real time a target time threshold corresponding to the target data subset according to the start time node and the end time node;

[0090] The target data subset is standardized according to the target time threshold to generate the standard data set accordingly, and the target time threshold is unique.

[0091] Furthermore, the step of performing standardization processing on the target data subset according to the target time threshold to correspondingly generate the standard data set includes:

[0092] When the target time threshold is obtained in real time, a corresponding initial time axis is created according to the target time threshold;

[0093] Mapping each of the target time nodes to the interior of the initial time axis to generate a corresponding target time axis in real time;

[0094] According to each of the target time nodes, each of the target values ​​is mapped to the inside of the target time axis to generate a corresponding complete time axis in real time, and the complete time axis is set as the standard data set, and the complete time axis is unique.

[0095] Furthermore, the step of mapping the target data curves corresponding to each of the standard data sets in the target two-dimensional coordinate system based on the second preset rule includes:

[0096] When each of the standard data sets is acquired in real time, each of the complete time axes is correspondingly extracted in real time;

[0097] Performing parsing processing on each of the complete time axes to detect a time format and a numerical format corresponding to each of the complete time axes;

[0098] The standard data set is mapped to the target two-dimensional coordinate system based on the time format and the numerical format to generate the target data curve accordingly.

[0099] Furthermore, the step of mapping the standard data set to the target two-dimensional coordinate system based on the time format and the numerical format to generate the target data curve includes:

[0100] When the time format and the numerical format corresponding to each of the complete time axes are respectively determined, it is determined in real time whether the time formats and the numerical formats of the complete time axes are consistent with each other;

[0101] If it is determined in real time that the time formats of each of the complete time axes are consistent with each other and the numerical formats are unified, a target data curve corresponding to the complete time axis is directly generated in real time in the target two-dimensional coordinate system according to the complete time axis.

[0102] Furthermore, the step of directly generating a corresponding target data curve in the target two-dimensional coordinate system in real time according to the complete time axis includes:

[0103] The time correspondence is set as the x-axis of the target two-dimensional coordinate system, and the value correspondence is set as the y-axis of the target two-dimensional coordinate system;

[0104] Detecting the starting point and the ending point corresponding to the complete time axis in real time, and mapping each of the target values ​​to the target two-dimensional coordinate system in turn according to the direction from the starting point to the ending point, so as to generate a number of connection points accordingly;

[0105] Each of the connection points is connected in sequence to generate the target data curve accordingly.

[0106] In addition, in this embodiment, it is also necessary to explain that after the required target data subset is obtained in real time through the above steps, in order to be able to objectively and effectively perform standardization processing on the current target data subset, preferably, the present invention needs to further detect a number of target values ​​corresponding to the current target data subset, and at the same time, further detect the target time nodes corresponding to each current target value when it is generated in the historical database one by one, that is, the corresponding generation time. Further, based on each current target time node, the corresponding start time node and end time node are further detected in real time according to the sequence of each time node, so that the target time threshold corresponding to the current target data subset can be further determined according to the current start time node and end time node, that is, the time span corresponding to the current target data subset. Based on this, based on the current target time threshold, in order to further facilitate the mapping of subsequent data, a corresponding initial time axis will be further created in real time. Since the initial time axis is not complete, based on this, the present invention will further map each of the above target time nodes to the inside of the current initial time axis to further obtain the required target time axis. Furthermore, the present invention also needs to further map the target values ​​corresponding to each current target time node to the inside of the current target time axis to finally generate the required complete time axis. At the same time, the current complete time axis and the corresponding data contained therein are set as the above standard data set to facilitate subsequent processing.

[0107] Furthermore, after the required standard data set is further obtained through the above steps, in order to be able to objectively and accurately perform graphical processing on the current standard data set to further generate the corresponding target data curve, preferably, the present invention will further detect the time format and numerical format corresponding to the complete time axis in the current standard data set. Based on this, it is necessary to immediately perform real-time judgment. Preferably, it is necessary to judge in real time whether the time format corresponding to each complete time axis is consistent with each other and whether the numerical format is unified. Specifically, if so, it can indicate that each complete time axis has a unified format with each other, so there is no need for secondary processing, and the subsequent mapping processing can be performed directly. Correspondingly, if not, it can be The correspondence indicates that each current complete time axis does not have a unified format with each other, so it is necessary to adjust the format of each current complete time axis to a unified format. Based on this, the above time correspondence can be set as the x-axis of the current target two-dimensional coordinate system, and the above value correspondence can be set as the y-axis of the current target two-dimensional coordinate system. On this basis, the starting point and the end point of each current complete time axis are detected accordingly, and further from the starting point to the end point, each current target value is mapped to the above-mentioned target two-dimensional coordinate system in turn, and corresponding connection points can be formed in turn inside the current target two-dimensional coordinate system. Finally, it is only necessary to connect each current connection point in turn to form the corresponding target data curve for subsequent processing.

[0108] See also Figure 2 , the third embodiment of the present invention provides:

[0109] A financial data integration system, wherein the system comprises:

[0110] A detection module, used for receiving a financial data set input by a user in real time, and performing a full scan on the financial data set to detect a number of financial elements contained in the financial data set;

[0111] A matching module, used to match the target data subsets corresponding to each of the financial elements in the financial data set, each of the target data subsets containing specific values;

[0112] A processing module, configured to perform standardization processing on each of the target data subsets based on a first preset rule to generate a plurality of corresponding standard data sets, wherein each of the standard data sets contains different contents;

[0113] The mapping module is used to create a target two-dimensional coordinate system in real time, and map the target data curves corresponding to each of the standard data sets in the target two-dimensional coordinate system based on a second preset rule, and add corresponding data identifiers to each of the target data curves.

[0114] Furthermore, the processing module is specifically used for:

[0115] When each of the target data subsets is acquired in real time, a number of target values ​​correspondingly contained in the target data subset are detected in real time;

[0116] The target time nodes corresponding to each target value when it is generated are detected in real time, and the target data subset corresponding to it is standardized based on the target time node to generate a corresponding standard data set, and the target time node is a specific value.

[0117] Furthermore, the processing module is specifically used for:

[0118] When each of the target time nodes is acquired in real time, the corresponding start time node and end time node are detected in real time;

[0119] Determine in real time a target time threshold corresponding to the target data subset according to the start time node and the end time node;

[0120] The target data subset is standardized according to the target time threshold to generate the standard data set accordingly, and the target time threshold is unique.

[0121] Furthermore, the processing module is specifically used for:

[0122] When the target time threshold is obtained in real time, a corresponding initial time axis is created according to the target time threshold;

[0123] Mapping each of the target time nodes to the interior of the initial time axis to generate a corresponding target time axis in real time;

[0124] According to each of the target time nodes, each of the target values ​​is mapped to the inside of the target time axis to generate a corresponding complete time axis in real time, and the complete time axis is set as the standard data set, and the complete time axis is unique.

[0125] Furthermore, the mapping module is specifically used for:

[0126] When each of the standard data sets is acquired in real time, each of the complete time axes is correspondingly extracted in real time;

[0127] Performing parsing processing on each of the complete time axes to detect a time format and a numerical format corresponding to each of the complete time axes;

[0128] The standard data set is mapped to the target two-dimensional coordinate system based on the time format and the numerical format to generate the target data curve accordingly.

[0129] Furthermore, the mapping module is specifically used for:

[0130] When the time format and the numerical format corresponding to each of the complete time axes are respectively determined, it is determined in real time whether the time formats and the numerical formats of the complete time axes are consistent with each other;

[0131] If it is determined in real time that the time formats of each of the complete time axes are consistent with each other and the numerical formats are unified, a target data curve corresponding to the complete time axis is directly generated in real time in the target two-dimensional coordinate system according to the complete time axis.

[0132] Furthermore, the mapping module is specifically used for:

[0133] The time correspondence is set as the x-axis of the target two-dimensional coordinate system, and the value correspondence is set as the y-axis of the target two-dimensional coordinate system;

[0134] Detecting the starting point and the ending point corresponding to the complete time axis in real time, and mapping each of the target values ​​to the target two-dimensional coordinate system in turn according to the direction from the starting point to the ending point, so as to generate a number of connection points accordingly;

[0135] Each of the connection points is connected in sequence to generate the target data curve accordingly.

[0136] A fourth embodiment of the present invention provides a computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the financial data integration method as described above when executing the computer program.

[0137] A fifth embodiment of the present invention provides a readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the financial data integration method as described above.

[0138] In summary, the financial data integration method and system provided by the above embodiments of the present invention enable staff to view multiple different data at the same time, and the results of each data are relatively obvious, which correspondingly improves work efficiency.

[0139] It should be noted that the above modules can be functional modules or program modules, and can be implemented by software or hardware. For modules implemented by hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0140] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0141] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0142] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0143] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0144] The above-described embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the present invention. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the attached claims.

Claims

1. A financial data integration method, characterized in that: The method comprises: receiving a financial data set input by a user in real time, and performing a full scan of the financial data set to detect a number of financial elements contained in the financial data set; Matching target data subsets corresponding to each of the financial elements in the financial data set, each of the target data subsets containing a specific value; performing standardization processing on each of the target data subsets based on a first preset rule to generate a plurality of corresponding standard data sets, each of the standard data sets containing different contents; A target two-dimensional coordinate system is created in real time, and target data curves corresponding to each of the standard data sets are mapped in the target two-dimensional coordinate system based on a second preset rule, and corresponding data identifiers are added to each of the target data curves.

2. The financial data integration method according to claim 1, characterized in that: The step of performing standardization processing on each of the target data subsets based on the first preset rule to generate a plurality of corresponding standard data sets includes: When each target data subset is acquired in real time, a number of target values ​​corresponding to the target data subset are detected in real time; The target time nodes corresponding to each target value when it is generated are detected in real time, and the target data subset corresponding to the target time node is standardized based on the target time node to generate a corresponding standard data set, where the target time node is a specific value.

3. The financial data integration method according to claim 2, characterized in that: The step of performing standardization processing on the target data subset corresponding to the target time node to generate a corresponding standard data set includes: When each target time node is acquired in real time, the corresponding start time node and end time node are detected in real time; Determine in real time a target time threshold corresponding to the target data subset according to the start time node and the end time node; The target data subset is standardized according to the target time threshold to generate the corresponding standard data set, and the target time threshold is unique.

4. The financial data integration method according to claim 3, characterized in that: The step of normalizing the target data subset according to the target time threshold to generate the standard data set includes: When the target time threshold is obtained in real time, a corresponding initial time axis is created according to the target time threshold; Mapping each of the target time nodes to the interior of the initial time axis to generate a corresponding target time axis in real time; According to each target time node, each target value is mapped to the inside of the target time axis to generate a corresponding complete time axis in real time, and the complete time axis is set as the standard data set. The complete time axis is unique.

5. The financial data integration method according to claim 4, characterized in that: The step of mapping the target data curves corresponding to each of the standard data sets in the target two-dimensional coordinate system based on the second preset rule comprises: When each of the standard data sets is acquired in real time, each of the complete time axes is correspondingly extracted in real time; Performing parsing processing on each of the complete time axes to detect a time format and a numerical format corresponding to each of the complete time axes; The standard data set is mapped to the target two-dimensional coordinate system based on the time format and the numerical format to generate the target data curve.

6. The financial data integration method according to claim 5, characterized in that: The step of mapping the standard data set to the target two-dimensional coordinate system based on the time format and the numerical format to generate the target data curve includes: When the time format and the numerical format corresponding to each of the complete time axes are determined respectively, determining in real time whether the time formats and the numerical formats of the complete time axes are consistent with each other; If it is determined in real time that the time formats of the complete time axes are consistent and the numerical formats are unified, a target data curve corresponding to the complete time axes is directly generated in real time in the target two-dimensional coordinate system according to the complete time axes.

7. The financial data integration method according to claim 6, characterized in that: The step of directly generating a corresponding target data curve in the target two-dimensional coordinate system in real time according to the complete time axis includes: Setting the time correspondence to the x-axis of the target two-dimensional coordinate system, and setting the value correspondence to the y-axis of the target two-dimensional coordinate system; Detecting in real time the starting point and the ending point corresponding to the complete time axis, and mapping each of the target values ​​to the target two-dimensional coordinate system in sequence along the direction from the starting point to the ending point, so as to generate a number of corresponding connection points; Each of the connection points is connected in sequence to generate the target data curve accordingly.

8. A financial data integration system, characterized in that: The system comprises: A detection module, configured to receive a financial data set input by a user in real time, and perform a full scan of the financial data set to detect a number of financial elements contained in the financial data set; a matching module, configured to match target data subsets corresponding to each of the financial elements in the financial data set, each of the target data subsets containing a specific value; a processing module, configured to perform standardization processing on each of the target data subsets based on a first preset rule to generate a plurality of corresponding standard data sets, wherein each of the standard data sets contains different contents; The mapping module is used to create a target two-dimensional coordinate system in real time, and map the target data curves corresponding to each of the standard data sets in the target two-dimensional coordinate system based on a second preset rule, and add corresponding data identifiers to each of the target data curves.

9. A computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the financial data integration method according to any one of claims 1 to 7 is implemented.

10. A readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the financial data integration method according to any one of claims 1 to 7 is implemented.

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