CN111932147A - Visualization method and device for overall index, electronic equipment and storage medium - Google Patents
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Abstract
The invention relates to a data processing technology, and discloses a visualization method for overall index, which comprises the following steps: acquiring an initial index data set, and logically screening the initial index data set to obtain a standard index data set; clustering the standard index data set to obtain a standard clustering data set; performing visualization processing on the standard clustering data set to obtain a visualization chart of the standard clustering data set; and marking the visual chart, and executing early warning processing when the indexes in the visual chart exceed a preset threshold value. In addition, the invention also relates to a block chain technology, and the standard clustering data set can be stored in the block chain node. Furthermore, the invention also discloses a visualization device for overall index, electronic equipment and a computer readable storage medium. The invention can carry out more intuitive control on the indexes.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a visualization method and device for overall index, electronic equipment and a computer-readable storage medium.
Background
At present, under the constraint of limited resources, it is very important to effectively manage all the works related to a project by using the concept, method and theory of a system, the project management effectively coordinates all the works of project design, and the whole process from the beginning of investment decision of the project to the end of the project is planned, organized, commanded, controlled and balanced, so as to realize the progress of the project.
The existing project management object is the whole project process, and aims at the whole planning and control of all members of a project group without being subdivided on test indexes, so that unnecessary project risks are caused, and the project execution efficiency is reduced.
Disclosure of Invention
The invention provides a visualization method and device for overall index, electronic equipment and a computer-readable storage medium, and mainly aims to solve the problems that unnecessary project risks are not subdivided on indexes and the efficiency of project progress is reduced.
In order to achieve the above object, the present invention provides a visualization method for overall index, including:
acquiring an initial index data set, and logically screening the initial index data set to obtain a standard index data set;
clustering the standard index data set to obtain a standard clustering data set;
performing visualization processing on the standard clustering data set to obtain a visualization chart of the standard clustering data set;
and marking the visual chart, and executing early warning processing when the indexes in the visual chart exceed a preset threshold value.
Optionally, the logical screening comprises: and logically screening the initial index data set by adopting a condition judgment function.
Optionally, the clustering the standard index data set to obtain a standard clustered data set includes:
clustering the standard index data set by using a horizontal clustering method to obtain a clustered data set;
and processing the clustering data set by using a nonlinear enhancement function to obtain a standard clustering data set.
Optionally, the non-linear enhancement function comprises:
wherein I (x, t) is the standard cluster data set,
is the clustered data set, c1(x, t) is a monotone decreasing function, x is a coordinate vector of the clustering data in a preset space, t is iteration times and is clustering times, k is a preset parameter, div is divergence, and exp is an exponential function with e as a base.
The partial derivatives are calculated for I (x, t).
Optionally, the visualizing the standard clustered data set to obtain a visualized chart of the standard clustered data set includes:
extracting field names of the standard clustering data set;
selecting a field to be presented from the field name;
and determining the type of the visual chart to be built, and generating the visual chart of the standard clustering data set according to the type.
Optionally, when the index in the visualization chart exceeds a preset threshold, performing early warning processing, including:
and pushing the early warning mail to a preset manager by using a data pushing engine.
Optionally, the marking the visual chart includes:
when the index is larger than a preset first threshold value, marking as a first color;
when the index is smaller than or equal to a preset first threshold and larger than a preset second threshold, marking as a second color;
and when the index is smaller than or equal to a preset second threshold value, marking as a third color.
In order to solve the above problem, the present invention also provides an index totalization visualization apparatus, including:
the standard index data set generating module is used for acquiring an initial index data set and logically screening the initial index data set to obtain a standard index data set;
the standard clustering data set generating module is used for clustering the standard index data set to obtain a standard clustering data set;
the visualization module is used for performing visualization processing on the standard clustering data set to obtain a visualization chart of the standard clustering data set;
and the marking early warning module is used for marking the visual chart and executing early warning processing when the indexes in the visual chart exceed a preset threshold value.
In order to solve the above problem, the present invention also provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of visualizing the index orchestration described above.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, comprising a storage data area and a storage program area, wherein the storage data area stores data, and the storage program area stores a computer program; wherein the computer program, when executed by a processor, implements the above-described method for visualizing an index orchestration.
According to the embodiment of the invention, a standard clustering data set is obtained by obtaining an initial index data set and carrying out logic screening and clustering processing, and the standard clustering data set is subjected to visualization processing to obtain a visualization chart and is marked and early warned. Therefore, the visualization method, the visualization device and the computer-readable storage medium for overall index provided by the invention can clearly see the project and the index situation consumed by the project by visually displaying the index by using the visualization chart, and can solve the problems of unnecessary project risks generated by not subdividing the index and reducing the efficiency of project processing.
Drawings
Fig. 1 is a schematic flow chart of a visualization method for overall index provided in an embodiment of the present invention;
fig. 2 is a schematic flowchart illustrating a step in a visualization method for overall index provided in an embodiment of the present invention;
fig. 3 is a schematic flowchart illustrating a step in a visualization method for overall index provided in an embodiment of the present invention;
fig. 4 is a schematic block diagram of a visualization apparatus for overall index provided in an embodiment of the present invention;
fig. 5 is an internal structural diagram of an electronic device implementing a visualization method for overall index provided in an embodiment of the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The execution subject of the visualization method for overall index provided by the embodiment of the application includes, but is not limited to, at least one of electronic devices such as a server and a terminal, which can be configured to execute the method provided by the embodiment of the application. In other words, the visualization method of the index orchestration may be performed by software or hardware installed in the terminal device or the server device, and the software may be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
The invention provides a visualization method for overall index planning. Referring to fig. 1, a schematic flow chart of a visualization method for overall index provided in an embodiment of the present invention is shown. In this embodiment, the visualization method for overall index includes:
and S1, acquiring an initial data set, and logically screening the initial index data set to obtain a standard index data set.
In an embodiment of the present invention, the initial index data set refers to any parameter data that needs to be visually displayed, for example, in an embodiment, the initial index data set is a data set of a working duration of a project, where the initial index data set may be a time that is required for an employee to complete the project according to a respective project plan.
For example: the staff king judges that 3 hours are needed for finishing the project A, and then the time data 3 can be input as one index data in the initial index data set.
Further, the embodiment of the invention adopts a condition judgment function to carry out logic screening on the initial index data set, screens out index data meeting conditions and obtains a standard index data set.
In detail, the condition judgment function is as follows:
if (input > n)
Screening process
else
Transmitted to a manager
According to the if statements, when one index data in the initial index data set is larger than n hours, the index data is screened out to obtain a standard index data set, and when the index data does not accord with the logic judgment function, namely the input staff index is smaller than or equal to n hours, the staff index is transmitted to a manager by using the file sharing server. Preferably, n is 10.
The file sharing server is a file storage device which can be accessed by all users in a computer network environment, and is a special computer which is specially used for other computers to retrieve and store files.
Since the initial index data set is input by the employee and may not meet the requirements, logical screening of the initial index data set may ensure the availability of the initial index data.
And S2, clustering the standard index data set to obtain a standard clustered data set.
Referring to fig. 2, in the embodiment of the present invention, the clustering the standard index data set to obtain a standard clustering data set includes:
s21, clustering the standard index data set by using a horizontal clustering method to obtain a clustered data set;
and S22, processing the clustering data set by using a nonlinear enhancement function to obtain a standard clustering data set.
In the embodiment of the invention, the horizontal clustering method is used for clustering the data in the data set by the same standard.
For example, the standard index data set is clustered by taking the project as a basis and the indexes of the staff as standards. For example: and clustering the employees with indexes below 15 hours in the project B into a group by taking the project B as a basis and taking 15 hours as a standard to obtain the clustering data set.
Clustering the standard indicator data set may divide the standard indicator data into small physical units, with greater flexibility in managing data. The small physical unit has the advantages of easy reconstruction, free indexing, sequential scanning, easy recombination, easy recovery, easy monitoring and the like.
Further, in the embodiment of the present invention, the nonlinear enhancement function is as follows:
wherein I (x, t) is the standard cluster data set,
is the clustering data set, c (x, t) is a monotone decreasing function, x is a coordinate vector of clustering data in a preset space, t is an iteration frequency, which is a clustering frequency, k is a preset parameter, div is a divergence, and exp is an exponential function with e as a base.
The partial derivatives are calculated for I (x, t).
And S3, performing visualization processing on the standard clustering data set to obtain a visualization chart of the standard clustering data set.
Referring to fig. 3, in the embodiment of the present invention, the performing visualization processing on the standard clustering data set to obtain a visualization chart of the standard clustering data set includes:
s31, extracting field names of the standard clustering data sets;
s32, selecting fields to be displayed from the field names;
and S33, determining the type of the visual chart to be built, and generating the visual chart of the standard clustering data set according to the type.
The standard clustering data sets are all structured data, the structured data can be represented and stored by using a relational database and are represented as data in a two-dimensional form, the standard clustering data sets are characterized in that a row of data represents information of an entity in a row unit, and the attributes of each row of data are the same. The field name is the attribute that each column represents.
Specifically, the embodiment of the present invention may extract the field name from the standard cluster data set by using a java statement having a field name extraction function.
Further, fields to be exposed are selected from the field names from which the different attributes of the representation can be known, e.g., fields including, but not limited to, project index, project name, tester name, project version number, test start time period.
In the embodiment of the invention, a visualization chart with overall indexes is generated according to the field names and corresponding data, the visualization chart comprises but is not limited to an Excel chart, a line graph (area graph), a bar graph (bar graph), a scatter graph (bubble graph), a K line graph, a pie graph (ring graph), a radar graph (filled radar graph), a chord graph, a force guidance layout graph and a map, meanwhile, the stacking of any dimension and the mixed display of multiple charts are supported, and the Excel visualization chart is generated by utilizing a pre-constructed Excel program.
And S4, marking the visual chart, and executing early warning processing when the indexes in the visual chart exceed a preset threshold value.
In the embodiment of the invention, indexes in the visual chart are marked. When the index is larger than a preset first threshold value, marking the index as a first color, such as red; and when the index is smaller than or equal to a preset first threshold value and larger than a preset second threshold value, marking the index as a second color, such as yellow, and when the index is smaller than the preset second threshold value, marking the index as a third color, such as blue.
Preferably, the preset first threshold and the preset second threshold are index values set in advance, different indexes are displayed in the visual chart, and when the index is greater than the preset threshold, it is indicated that the spent index exceeds the preset index, and a labeling prompt is required.
When a preset color appears in the visual chart, such as the first color, the embodiment of the invention utilizes the data pushing engine to push the early warning mail to the corresponding manager.
Preferably, the pushing the early warning mail to the corresponding administrator by using the data pushing engine includes:
sending a data transmission interface calling request to the data pushing engine to obtain a data interface state; and judging the state of the data interface, uploading the mail to the data pushing engine according to the configuration of the transmission file when the state of the data interface is acceptable for data transmission, and pushing the mail by using the data pushing engine.
When the data pushing engine receives a data transmission interface calling request, a Boolean value representing the state of the current data transmission interface is automatically returned, wherein the Boolean value is 0 or 1, 0 represents that the current data transmission interface is occupied or in an unavailable state, and 1 represents that the current data transmission interface is in an acceptable data transmission state.
Preferably, in the embodiment of the present invention, the data pushing engine uses a distributed search engine Elasticsearch, and after the email is completed, the distributed search engine Elasticsearch can automatically delete the pushed email, thereby ensuring that data is not repeatedly pushed.
Fig. 4 is a schematic block diagram of a visualization device for overall index management according to the present invention.
The visualization apparatus 100 for overall index of the present invention may be installed in an electronic device. According to the implemented functions, the indicator-orchestrated visualization apparatus 100 may include a standard indicator dataset generation module 101, a standard cluster dataset generation module 102, a visualization module 103, and a marker-early warning module 104. A module according to the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the standard index data set generating module 101 is configured to obtain an initial index data set, and perform logical screening on the initial index data set to obtain a standard index data set;
the standard clustering data set generating module 102 is configured to perform clustering processing on the standard index data set to obtain a standard clustering data set;
the visualization module 103 is configured to perform visualization processing on the standard clustering data set to obtain a visualization chart of the standard clustering data set;
the mark early warning module 104 is configured to mark the visual chart, and execute early warning processing when an index in the visual chart exceeds a preset threshold.
In detail, the visualization device 100 for index orchestration realizes the following visualization method for index orchestration by each module:
step one, the standard index data set generating module 101 obtains an initial index data set, and performs logic screening on the initial index data set to obtain a standard index data set.
In an embodiment of the present invention, the initial index data set refers to any parameter data that needs to be visually displayed, for example, in an embodiment, the initial index data set is a data set of a working duration of a project, where the initial index data set may be a time that is required for an employee to complete the project according to a respective project plan.
For example: the staff king judges that 3 hours are needed for finishing the project A, and then the time data 3 can be input as one index data in the initial index data set.
Further, the embodiment of the invention adopts a condition judgment function to carry out logic screening on the initial index data set, screens out index data meeting conditions and obtains a standard index data set.
In detail, the condition judgment function is as follows:
if (input > n)
Screening process
else
Transmitted to a manager
According to the if statements, when one index data in the initial index data set is larger than n hours, the index data is screened out to obtain a standard index data set, and when the index data does not accord with the logic judgment function, namely the input staff index is smaller than or equal to n hours, the staff index is transmitted to a manager by using the file sharing server. Preferably, n is 10.
The file sharing server is a file storage device which can be accessed by all users in a computer network environment, and is a special computer which is specially used for other computers to retrieve and store files.
Since the initial index data set is input by the employee and may not meet the requirements, logical screening of the initial index data set may ensure the availability of the initial index data.
And step two, the standard clustering data set generating module 102 performs clustering processing on the standard index data set to obtain a standard clustering data set.
In this embodiment of the present invention, the clustering module 102 performs clustering on the standard index data set to obtain a standard clustering data set, including:
clustering the standard index data set by using a horizontal clustering method to obtain a clustered data set;
and processing the clustering data set by using a nonlinear enhancement function to obtain a standard clustering data set.
In the embodiment of the invention, the horizontal clustering method is used for clustering the data in the data set by the same standard.
For example, the standard index data set is clustered by taking the project as a basis and the indexes of the staff as standards. For example: and clustering the employees with indexes below 15 hours in the project B into a group by taking the project B as a basis and taking 15 hours as a standard to obtain the clustering data set.
Clustering the standard indicator data set may divide the standard indicator data into small physical units, with greater flexibility in managing data. The small physical unit has the advantages of easy reconstruction, free indexing, sequential scanning, easy recombination, easy recovery, easy monitoring and the like.
Further, in the embodiment of the present invention, the nonlinear enhancement function is as follows:
wherein I (x, t) is the standard cluster data set,
is the clustering data set, c (x, t) is a monotone decreasing function, x is a coordinate vector of clustering data in a preset space, t is an iteration frequency, which is a clustering frequency, k is a preset parameter, div is a divergence, and exp is an exponential function with e as a base.
The partial derivatives are calculated for I (x, t).
And thirdly, the visualization module 103 performs visualization processing on the standard clustering data set to obtain a visualization chart of the standard clustering data set.
In an embodiment of the present invention, the visualizing module 103 performs visualization processing on the standard clustering data set to obtain a visualization chart of the standard clustering data set, including:
extracting field names of the standard clustering data set;
selecting a field to be presented from the field name;
and determining the type of the visual chart to be built, and generating the visual chart of the standard clustering data set according to the type.
The standard clustering data sets are all structured data, the structured data can be represented and stored by using a relational database and are represented as data in a two-dimensional form, the standard clustering data sets are characterized in that a row of data represents information of an entity in a row unit, and the attributes of each row of data are the same. The field name is the attribute that each column represents.
Specifically, the embodiment of the present invention may extract the field name from the standard cluster data set by using a java statement having a field name extraction function.
Further, fields to be exposed are selected from the field names from which the different attributes of the representation can be known, e.g., fields including, but not limited to, project index, project name, tester name, project version number, test start time period.
In the embodiment of the invention, a visualization chart with overall indexes is generated according to the field names and corresponding data, the visualization chart comprises but is not limited to an Excel chart, a line graph (area graph), a bar graph (bar graph), a scatter graph (bubble graph), a K line graph, a pie graph (ring graph), a radar graph (filled radar graph), a chord graph, a force guidance layout graph and a map, meanwhile, the stacking of any dimension and the mixed display of multiple charts are supported, and the Excel visualization chart is generated by utilizing a pre-constructed Excel program.
And fourthly, the marking early warning module 104 marks the visual chart, and when the index in the visual chart exceeds a preset threshold value, early warning processing is executed.
In the embodiment of the invention, indexes in the visual chart are marked. When the index is larger than a preset first threshold value, marking the index as a first color, such as red; and when the index is smaller than or equal to a preset first threshold value and larger than a preset second threshold value, marking the index as a second color, such as yellow, and when the index is smaller than the preset second threshold value, marking the index as a third color, such as blue.
Preferably, the preset first threshold and the preset second threshold are index values set in advance, different indexes are displayed in the visual chart, and when the index is greater than the preset threshold, it is indicated that the spent index exceeds the preset index, and a labeling prompt is required.
When a preset color appears in the visual chart, such as the first color, the embodiment of the invention utilizes the data pushing engine to push the early warning mail to the corresponding manager.
Preferably, the pushing the early warning mail to the corresponding administrator by using the data pushing engine includes:
sending a data transmission interface calling request to the data pushing engine to obtain a data interface state; and judging the state of the data interface, uploading the mail to the data pushing engine according to the configuration of the transmission file when the state of the data interface is acceptable for data transmission, and pushing the mail by using the data pushing engine.
When the data pushing engine receives a data transmission interface calling request, a Boolean value representing the state of the current data transmission interface is automatically returned, wherein the Boolean value is 0 or 1, 0 represents that the current data transmission interface is occupied or in an unavailable state, and 1 represents that the current data transmission interface is in an acceptable data transmission state.
Preferably, in the embodiment of the present invention, the data pushing engine uses a distributed search engine Elasticsearch, and after the email is completed, the distributed search engine Elasticsearch can automatically delete the pushed email, thereby ensuring that data is not repeatedly pushed.
Fig. 5 is a schematic structural diagram of an electronic device implementing the visualization method for overall index according to the present invention.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus, and may further comprise a computer program, such as an index-pooling visualization program 12, stored in the memory 11 and executable on the processor 10.
The memory 11 includes at least one type of readable storage medium, which includes flash memory, removable hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only to store application software installed in the electronic device 1 and various types of data, such as codes of the index-orchestrated visualization program 12, but also to temporarily store data that has been output or is to be output.
The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (e.g., visualization programs for performing index coordination, etc.) stored in the memory 11 and calling data stored in the memory 11.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
Fig. 5 only shows an electronic device with components, and it will be understood by a person skilled in the art that the structure shown in fig. 5 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or a combination of certain components, or a different arrangement of components.
For example, although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device 1 may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used for establishing a communication connection between the electronic device 1 and other electronic devices.
Optionally, the electronic device 1 may further comprise a user interface, which may be a Display (Display), an input unit (such as a Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the electronic device 1 and for displaying a visualized user interface, among other things.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The indicator-orchestrated visualization program 12 stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, may implement:
acquiring an initial index data set, and logically screening the initial index data set to obtain a standard index data set;
clustering the standard index data set to obtain a standard clustering data set;
performing visualization processing on the standard clustering data set to obtain a visualization chart of the standard clustering data set;
and marking the visual chart, and executing early warning processing when the indexes in the visual chart exceed a preset threshold value.
According to the embodiment of the invention, a standard clustering data set is obtained by obtaining an initial index data set and carrying out logic screening and clustering processing, and the standard clustering data set is subjected to visualization processing to obtain a visualization chart and is marked and early warned. Therefore, the visualization method, the visualization device and the computer-readable storage medium for overall index provided by the invention can solve the problems that unnecessary project risks generated by subdividing the indexes are avoided and the project processing efficiency is reduced.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. The computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
Further, the computer usable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any accompanying claims should not be construed as limiting the claim concerned.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A visualization method for overall index, the method comprising:
acquiring an initial index data set, and logically screening the initial index data set to obtain a standard index data set;
clustering the standard index data set to obtain a standard clustering data set;
performing visualization processing on the standard clustering data set to obtain a visualization chart of the standard clustering data set;
and marking the visual chart, and executing early warning processing when the indexes in the visual chart exceed a preset threshold value.
2. The method for visualization of index orchestration of claim 1, wherein the logical screening comprises: and logically screening the initial index data set by adopting a condition judgment function.
3. The method for visualizing index orchestration according to claim 1, wherein the clustering the standard index dataset to obtain a standard clustered dataset comprises:
clustering the standard index data set by using a horizontal clustering method to obtain a clustered data set;
and processing the clustering data set by using a nonlinear enhancement function to obtain a standard clustering data set.
4. The visualization method of index orchestration according to claim 3, wherein the nonlinear enhancement function comprises:
wherein I (x, t) is the standard cluster data set,
is the cluster data set, c (x, t) is a monotone decreasing function, x is a coordinate vector of the cluster data in a preset space, t is an iteration number, is a cluster number, k is a preset parameter, div is a divergence, exp is an exponential function with e as a base,
the partial derivatives are calculated for I (x, t).
5. The method for visualizing an overall index as in claim 1, wherein the visualizing the standard clustered data set to obtain a visualized chart of the standard clustered data set comprises:
extracting field names of the standard clustering data set;
selecting a field to be presented from the field name;
and determining the type of the visual chart to be built, and generating the visual chart of the standard clustering data set according to the type.
6. The visualization method of index pooling of claim 1, wherein said performing an early warning process when the index in the visualization chart exceeds a preset threshold includes:
and pushing the early warning mail to a preset manager by using a data pushing engine.
7. The method for visualizing an index orchestration of claim 6, wherein the tagging the visualization chart comprises:
when the index is larger than a preset first threshold value, marking as a first color;
when the index is smaller than or equal to a preset first threshold and larger than a preset second threshold, marking as a second color;
and when the index is smaller than or equal to a preset second threshold value, marking as a third color.
8. An indicator orchestrated visualization device, the device comprising:
the standard index data set generating module is used for acquiring an initial index data set and logically screening the initial index data set to obtain a standard index data set;
the standard clustering data set generating module is used for clustering the standard index data set to obtain a standard clustering data set;
the visualization module is used for performing visualization processing on the standard clustering data set to obtain a visualization chart of the standard clustering data set;
and the marking early warning module is used for marking the visual chart and executing early warning processing when the indexes in the visual chart exceed a preset threshold value.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a visualization method of index orchestration according to any one of claims 1-7.
10. A computer-readable storage medium comprising a storage data area and a storage program area, wherein the storage data area stores data and the storage program area stores a computer program; wherein the computer program, when executed by a processor, implements a visualization method of index orchestration according to any one of claims 1-7.
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