CN115879058A - Panoramic display method, device, storage medium and system for multi-source data - Google Patents
Panoramic display method, device, storage medium and system for multi-source data Download PDFInfo
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Abstract
The invention discloses a panoramic display method, a panoramic display device, a panoramic display storage medium and a panoramic display system for multi-source data. By utilizing the noise library comparison module to filter noise of the acquired multi-source data and perform data unified fusion on the multi-source data after noise filtering, the panoramic display method, the device, the storage medium and the system improve the processing efficiency of the multi-source data and improve the noise filtering efficiency.
Description
Technical Field
The invention relates to the technical field of panoramic display of multi-source data of a low-voltage distribution room, in particular to a panoramic display method, a panoramic display device, a panoramic display storage medium and a panoramic display system of the multi-source data.
Background
For the access of high-proportion new energy mass equipment, the low-voltage distribution area is required to be displayed in a panoramic way so as to realize accurate sensing of the running state of the distribution area, assist the low-voltage distribution area to make decisions and support the cooperative regulation and complementary coordination of source network charge storage.
In the prior art, mass data are flexibly and efficiently processed through cloud edge cooperation and a middleware technology, so that unified management of data and data analysis of power terminal equipment is realized, wherein the middleware is used as a core component, the workload of equipment operation and maintenance can be effectively reduced, and low-voltage transformer area panoramic display is supported.
However, the prior art still has the following defects: 1. data barriers exist among massive heterogeneous data generated by multiple main bodies in real time in a low-voltage distribution area, and fusion management of multivariate data is difficult to realize; 2. the low-voltage transformer area has a complex communication environment, more noise interference exists, the realization of low-voltage transformer area panoramic display is influenced, a noise database and cloud edge collaborative design are lacked in the prior art, prior information and historical data of noise cannot be fully utilized, and the noise filtering efficiency is low and the precision is poor.
Accordingly, there is a need for a method, apparatus, computer-readable storage medium, and system for panoramic visualization of multi-source data that overcomes the above-mentioned deficiencies in the prior art.
Disclosure of Invention
The embodiment of the invention provides a panoramic display method, a panoramic display device, a computer-readable storage medium and a panoramic display system for multi-source data, so that the processing efficiency of the multi-source data is improved, and the noise filtering efficiency is improved.
An embodiment of the present invention provides a panoramic display method for multi-source data, where the panoramic display method includes: acquiring multi-source data of a low-voltage platform area to be displayed; matching and filtering the multi-source data through a noise bank comparison module and a noise filtering module to obtain first multi-source data; and performing fusion processing on the first multi-source data through a preset panoramic aggregation model to obtain second multi-source data, and performing data panoramic display according to the second multi-source data.
As an improvement of the above-mentioned scheme, through noise bank comparison module and noise filtering module, to the multisource data matches the filtering, obtains first multisource data, specifically includes: comparing and matching the multi-source data with noise samples in a noise library comparison module, and judging whether a first noise sample matched with the multi-source data exists in the noise samples in the noise library comparison module or not; if the first noise sample exists, locally performing noise filtering on the multi-source data according to the first noise sample to obtain first multi-source data of a gambler; if the multi-source data do not exist, the multi-source data are uploaded to a cloud end, so that the cloud end analyzes and denoises the multi-source data according to the multi-source data and the noise library comparison module, and first multi-source data are obtained.
As an improvement of the above scheme, the fusion processing is performed on the first multi-source data through a preset panoramic polymerization model to obtain second multi-source data, and the method specifically includes: according to a preset panoramic polymerization model, performing data unification on the first multi-source data to obtain standardized data; performing data cleaning on the standardized data according to a preset panoramic polymerization model to obtain clean data; performing data completion on the clean data according to a preset panoramic polymerization model to obtain completed data; and performing data fusion on the completion data according to a preset panoramic polymerization model to obtain second multi-source data.
As an improvement of the above scheme, data unification is performed on the first multi-source data according to a preset panoramic aggregation model to obtain standardized data, which specifically includes: dividing the first multi-source data into structured data and unstructured data; converting the structured data into first standard data according to a preset mapping model, and performing semantic analysis and image analysis on the unstructured data to obtain second standard data; and taking the first standard data and the second standard data as standardized data.
As an improvement of the above scheme, according to a preset panoramic polymerization model, performing data fusion on the completed data to obtain second multi-source data, specifically including: extracting information to be identified from the completion data according to a preset information extraction method; calculating the similarity between the information to be identified, and judging whether the complementary data corresponding to the information to be identified are similar according to a preset similarity judgment threshold; and merging the complementary data which are judged to be similar to obtain second multi-source data.
The invention correspondingly provides a panoramic display device of multi-source data, which comprises a data acquisition unit, a noise filtering unit and a fusion display unit, wherein the data acquisition unit is used for acquiring the multi-source data of a low-voltage platform area to be displayed; the noise filtering unit is used for matching and filtering the multi-source data through a noise bank comparison module and a noise filtering module to obtain first multi-source data; the fusion display unit is used for performing fusion processing on the first multi-source data through a preset panoramic polymerization model to obtain second multi-source data, and performing panoramic display on the data according to the second multi-source data.
As an improvement of the above solution, the noise filtering unit is further configured to: comparing and matching the multi-source data with noise samples in a noise bank comparison module, and judging whether a first noise sample matched with the multi-source data exists in the noise samples in the noise bank comparison module; if the first noise sample exists, locally performing noise filtering on the multi-source data according to the first noise sample to obtain first multi-source data of a gambler; and if the multi-source data does not exist, uploading the multi-source data to a cloud end, so that the cloud end analyzes and reduces noise of the multi-source data according to the multi-source data and the noise bank comparison module, and first multi-source data is obtained.
As an improvement of the above solution, the fusion display unit is further configured to: according to a preset panoramic polymerization model, performing data unification on the first multi-source data to obtain standardized data; performing data cleaning on the standardized data according to a preset panoramic polymerization model to obtain clean data; performing data completion on the clean data according to a preset panoramic polymerization model to obtain completed data; and performing data fusion on the completion data according to a preset panoramic polymerization model to obtain second multi-source data.
As an improvement of the above solution, the fusion display unit is further configured to: dividing the first multi-source data into structured data and unstructured data; converting the structured data into first standard data according to a preset mapping model, and performing semantic analysis and image analysis on the unstructured data to obtain second standard data; and taking the first standard data and the second standard data as standardized data.
As an improvement of the above solution, the fusion display unit is further configured to: extracting information to be identified from the completion data according to a preset information extraction method; calculating the similarity between the information to be identified, and judging whether the completion data corresponding to the information to be identified are similar according to a preset similarity judgment threshold; and merging the complementary data which are judged to be similar to obtain second multi-source data.
Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, where when the computer program runs, the apparatus in which the computer-readable storage medium is located is controlled to execute the method for panoramic display of multi-source data as described above.
Another embodiment of the present invention provides a panoramic representation system of multi-source data, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the panoramic representation method of multi-source data as described above when executing the computer program.
Compared with the prior art, the technical scheme has the following beneficial effects:
the invention provides a panoramic display method, a device, a computer readable storage medium and a system for multi-source data.
Drawings
Fig. 1 is a schematic flowchart of a panoramic display method of multi-source data according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a panoramic display apparatus for multi-source data according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Detailed description of the preferred embodiment
The embodiment of the invention firstly describes a panoramic display method of multi-source data. Fig. 1 is a schematic flowchart of a panoramic display method of multi-source data according to an embodiment of the present invention.
As shown in fig. 1, the panorama display method includes:
s1, acquiring multi-source data of a low-voltage distribution room to be displayed.
And S2, matching and filtering the multi-source data through a noise bank comparison module and a noise filtering module to obtain first multi-source data.
After multi-source data are obtained, in order to improve the noise filtering efficiency, firstly, matching analysis is carried out on noise interference possibly existing in a data stream based on the noise historical data of a noise base comparison module, and if the matching degree of the noise in the data and the existing information of the noise base comparison module is high, the noise is directly filtered locally; otherwise, the cloud side collaborative noise filtering module sends a cloud processing request to the low-voltage transformer area data management platform through the northbound interface, the data management platform analyzes the noise type, updates the noise information of the noise base comparison module, and assists a filter of the cloud side collaborative noise filtering module to perform noise elimination, so that cloud side collaborative noise interference filtering is realized.
In one embodiment, the matching and filtering of the multi-source data is performed by a noise bank comparison module and a noise filtering module to obtain first multi-source data, which specifically includes: comparing and matching the multi-source data with noise samples in a noise bank comparison module, and judging whether a first noise sample matched with the multi-source data exists in the noise samples in the noise bank comparison module; if the first noise sample exists, locally performing noise filtering on the multi-source data according to the first noise sample to obtain first multi-source data of a gambler; and if the multi-source data does not exist, uploading the multi-source data to a cloud end, so that the cloud end analyzes and reduces noise of the multi-source data according to the multi-source data and the noise bank comparison module, and first multi-source data is obtained.
And S3, performing fusion processing on the first multi-source data through a preset panoramic polymerization model to obtain second multi-source data, and performing data panoramic display according to the second multi-source data.
In this step, the AI panoramic polymerization model needs to be updated in real time, and the multi-source data of the low-voltage distribution room is intelligently integrated and fused, so that intelligent preprocessing (including uniform data format, data cleaning, repeated item missing item inspection and the like) is realized, and further, the data barrier between the multi-source heterogeneous resources of the low-voltage distribution room is broken, and the panoramic polymerization and visual display of the distribution room are supported.
In an embodiment, the fusion processing is performed on the first multi-source data through a preset panoramic aggregation model to obtain second multi-source data, and the method specifically includes: according to a preset panoramic polymerization model, performing data unification on the first multi-source data to obtain standardized data; according to a preset panoramic polymerization model, carrying out data cleaning on the standardized data to obtain clean data; according to a preset panoramic polymerization model, performing data completion on the clean data to obtain completed data; and performing data fusion on the completion data according to a preset panoramic polymerization model to obtain second multi-source data.
In one embodiment, according to a preset panoramic aggregation model, unifying data of the first multi-source data to obtain standardized data, specifically including: dividing the first multi-source data into structured data and unstructured data; converting the structured data into first standard data according to a preset mapping model, and performing semantic analysis and image analysis on the unstructured data to obtain second standard data; and taking the first standard data and the second standard data as standardized data.
In an embodiment, according to a preset panoramic aggregation model, performing data fusion on the complementary data to obtain second multi-source data, which specifically includes: extracting information to be identified from the completion data according to a preset information extraction method; calculating the similarity between the information to be identified, and judging whether the complementary data corresponding to the information to be identified are similar according to a preset similarity judgment threshold; and merging the completion data which are judged to be similar to obtain second multi-source data.
The embodiment of the invention describes a panoramic display method of multi-source data, which is characterized in that a noise library comparison module is used for carrying out noise filtering on the acquired multi-source data, and data uniform fusion is carried out on the multi-source data after noise filtering, so that the processing efficiency of the multi-source data is improved, and the noise filtering efficiency is improved.
Detailed description of the preferred embodiment
Besides, the embodiment of the invention also discloses a panoramic display device of the multi-source data. Fig. 2 is a schematic structural diagram of a panoramic display apparatus for multi-source data according to an embodiment of the present invention.
As shown in fig. 2, the panorama displaying apparatus includes a data acquiring unit 11, a noise filtering unit 12, and a fusion displaying unit 13.
The data acquisition unit 11 is used for acquiring multi-source data of a low-voltage platform area to be displayed.
The noise filtering unit 12 is configured to perform matching filtering on the multi-source data through a noise bank comparison module and a noise filtering module, so as to obtain first multi-source data.
In one embodiment, the noise filtering unit 12 is further configured to: comparing and matching the multi-source data with noise samples in a noise bank comparison module, and judging whether a first noise sample matched with the multi-source data exists in the noise samples in the noise bank comparison module; if the first noise sample exists, locally performing noise filtering on the multi-source data according to the first noise sample to obtain first multi-source data of a gambler; and if the multi-source data does not exist, uploading the multi-source data to a cloud end, so that the cloud end analyzes and reduces noise of the multi-source data according to the multi-source data and the noise bank comparison module, and first multi-source data is obtained.
The fusion display unit 13 is configured to perform fusion processing on the first multi-source data through a preset panoramic aggregation model to obtain second multi-source data, and perform panoramic display on the data according to the second multi-source data.
In one embodiment, the fusion presentation unit 13 is further configured to: according to a preset panoramic polymerization model, performing data unification on the first multi-source data to obtain standardized data; according to a preset panoramic polymerization model, carrying out data cleaning on the standardized data to obtain clean data; according to a preset panoramic polymerization model, performing data completion on the clean data to obtain completed data; and performing data fusion on the completion data according to a preset panoramic polymerization model to obtain second multi-source data.
In one embodiment, the fusion presentation unit 13 is further configured to: dividing the first multi-source data into structured data and unstructured data; converting the structured data into first standard data according to a preset mapping model, and performing semantic analysis and image analysis on the unstructured data to obtain second standard data; and taking the first standard data and the second standard data as standardized data.
In one embodiment, the fusion presentation unit 13 is further configured to: extracting information to be identified from the completion data according to a preset information extraction method; calculating the similarity between the information to be identified, and judging whether the complementary data corresponding to the information to be identified are similar according to a preset similarity judgment threshold; and merging the completion data which are judged to be similar to obtain second multi-source data.
Wherein, the integrated unit of the panorama display device can be stored in a computer readable storage medium if the integrated unit is realized in the form of a software functional unit and sold or used as an independent product. Based on such understanding, all or part of the flow in the method according to the above embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium and used by a processor to implement the steps of the above embodiments of the method. Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, where when the computer program runs, the apparatus in which the computer-readable storage medium is located is controlled to execute the method for panoramic display of multi-source data as described above.
Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc.
The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple 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, in the drawings of the embodiment of the device provided by the invention, the connection relationship between the units indicates that the units have communication connection therebetween, and the connection relationship can be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
The embodiment of the invention discloses a multi-source data panoramic display device and a computer readable storage medium.
Detailed description of the preferred embodiment
Besides the method and the device, the embodiment of the invention also describes a panoramic display system of multi-source data.
The panoramic representation system comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to realize the panoramic representation method of the multi-source data.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center for the device, with various interfaces and lines connecting the various parts of the overall device.
The memory may be used to store the computer programs and/or modules, and the processor may implement the various functions of the apparatus by running or executing the computer programs and/or modules stored in the memory, as well as by invoking data stored in the memory. The memory 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 by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
For further description of the technical solution, the invention may be implemented, but not limited to, as a cloud-edge collaborative AI middleware and system for supporting a low-voltage platform area to run a panoramic display. The embodiment of the invention can be implemented as a cloud-edge collaborative AI system comprising a platform part and a middleware part, thereby supporting a low-pressure platform area to run panoramic display.
In the system, the platform part comprises a low-voltage transformer area data monitoring platform, a low-voltage transformer area data management platform and a low-voltage transformer area panoramic display platform; the middleware part corresponds to the technical scheme of the foregoing embodiment of the present invention, and specifically includes a data AI panorama aggregation module, a noise bank comparison module, a cloud edge collaborative noise interference filtering module, a protocol adaptation conversion module, and a plurality of interfaces.
In the low-voltage transformer area data monitoring platform, the low-voltage transformer area data monitoring platform can perform operations such as classification, summarization and visual processing on the processed mass data, and supports the low-voltage transformer area data panoramic display.
In the low-voltage transformer area data management platform, the low-voltage transformer area data management platform is provided with a processor, an AI panoramic aggregation model for data aggregation can be updated in real time, and the AI panoramic aggregation model can be used as a cloud server to participate in cloud-side collaborative noise interference filtering. Meanwhile, the low-voltage transformer area data management platform can assist the low-voltage transformer area data monitoring platform in data management and calculation.
In the low-voltage distribution room panoramic display platform, the low-voltage distribution room panoramic display platform can provide charts of various resources in a distribution room, and can visually display the current states and future trends of sources, loads and stored resources in a multi-dimension manner to assist the cooperative regulation and control of the various resources in the low-voltage distribution room.
In the data AI panoramic polymerization module, the data integration and fusion unit updates an AI panoramic polymerization model in real time from a region data management platform, intelligently integrates and fuses multi-source data of the low-voltage distribution room, can realize intelligent preprocessing, has functions of unifying data formats, cleaning data, checking missing items of repeated items and the like, breaks through data barriers among multi-source heterogeneous resources of the low-voltage distribution room, and supports panoramic polymerization and visual display of the distribution room.
In the noise base comparison module, the noise base comparison module stores historical data of the station noise and can reflect the characteristics of various types of noise.
In the cloud-edge collaborative noise interference filtering module, the cloud-edge collaborative noise filtering module performs matching analysis on noise interference possibly existing in the data stream based on the noise historical data of the noise base comparison module. If the matching degree of the noise in the data and the existing information of the noise library comparison module is high, the noise is directly filtered locally; otherwise, the cloud side collaborative noise filtering module sends a cloud processing request to the low-voltage transformer area data management platform through the northbound interface, the data management platform analyzes the noise type, updates the noise information of the noise base comparison module, and assists a filter of the cloud side collaborative noise filtering module to perform noise elimination, so that cloud side collaborative noise interference filtering is realized.
In the protocol adaptation conversion module, based on the problems of more main bodies of the low-voltage transformer area, coexistence of multiple communication media and complex communication environment, the middleware is provided with the protocol adaptation conversion module, and can adapt and convert multiple protocols such as 376.1, 698.42, IEC104 and IEC 102 and support real-time transmission of multi-source heterogeneous data.
The middleware interface mainly comprises a northbound interface and a southbound interface. The northbound interface is in butt joint with the low-voltage area data monitoring platform and the data management platform through a communication protocol, and the processed data and the request of the middleware are sent to the platform; the southbound interface can receive source load data of the low-voltage station area.
When the designed cloud-side collaborative AI middleware and system supporting low-voltage distribution room operation panoramic display operate, source load storage data in the low-voltage distribution room are accessed to the cloud-side collaborative AI middleware through a southbound interface and a protocol adaptation conversion link. In the middleware, the data is subjected to noise matching analysis in a noise library comparison module, noise filtering is carried out on the cloud edge collaborative noise filtering module based on the analysis result, and the data is transmitted to a data AI panorama aggregation module. And the data AI panoramic polymerization module receives an AI panoramic polymerization model updated by the data management platform of the low-voltage transformer area in real time, and performs operations such as format unification, cleaning, data completion, data fusion and the like on the data. The data unification process establishes a standard data format, for structured data, the structured data is converted into the standard data format according to a mapping model, and for unstructured data such as texts and images, standardized data is obtained through semantic analysis and image analysis; the data cleaning can screen null values and abnormal values in the data and filter dirty data; in data completion, the data AI panoramic polymerization module stores a plurality of data completion methods, and can select the most appropriate completion method for data completion according to data omission generated after different types of noise are filtered based on a noise model matched with the noise library comparison module; and extracting key information from the standard data format, the standardized text data and the standardized picture data by data fusion, calculating the similarity, and merging the data with the same attribute according to the calculation result.
And the processed data is uploaded to a low-voltage transformer area data monitoring platform and a data management platform through a northbound interface and a protocol adaptation conversion module, and data classification, calculation, visualization processing and the like are performed. And finally, transmitting the data to a low-voltage platform area panoramic display platform for panoramic display.
Compared with the prior art, the cloud-side collaborative AI middleware for supporting the low-voltage station area to run the panoramic display integrates the data AI panoramic polymerization module, the noise library comparison module, the cloud-side collaborative noise interference filtering module and the protocol adaptation conversion module, can realize the intelligent polymerization of massive heterogeneous data of the station area, obviously improves the noise reduction precision and the noise reduction efficiency of the low-voltage station area data through the cloud-side collaborative design, effectively improves the data quality and the data processing capacity of the low-voltage station area panoramic display, and provides powerful support for the low-voltage station area panoramic display; on the basis, the invention provides a low-voltage transformer area operation panoramic display system, a low-voltage transformer area data monitoring platform, a low-voltage transformer area data management platform and a low-voltage transformer area panoramic display platform are designed, transformer area source storage data can be subjected to fine processing, and low-voltage transformer area panoramic display is realized.
The embodiment of the invention discloses a multi-source data panoramic display system, which is characterized in that a noise library comparison module is used for carrying out noise filtering on the acquired multi-source data, and data uniform fusion is carried out on the multi-source data after noise filtering, so that the multi-source data processing efficiency and the noise filtering efficiency are improved.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A panoramic display method of multi-source data is characterized by comprising the following steps:
acquiring multi-source data of a low-voltage platform area to be displayed;
matching and filtering the multi-source data through a noise bank comparison module and a noise filtering module to obtain first multi-source data;
and performing fusion processing on the first multi-source data through a preset panoramic polymerization model to obtain second multi-source data, and performing panoramic display on the data according to the second multi-source data.
2. The panoramic display method of the multi-source data according to claim 1, wherein the matching and filtering are performed on the multi-source data through a noise bank comparison module and a noise filtering module to obtain first multi-source data, and the panoramic display method specifically comprises:
comparing and matching the multi-source data with noise samples in a noise bank comparison module, and judging whether a first noise sample matched with the multi-source data exists in the noise samples in the noise bank comparison module;
if yes, locally performing noise filtering on the multi-source data according to the first noise sample to obtain first multi-source data of a gambler;
if the multi-source data do not exist, the multi-source data are uploaded to a cloud end, so that the cloud end analyzes and denoises the multi-source data according to the multi-source data and the noise library comparison module, and first multi-source data are obtained.
3. The panoramic display method of the multi-source data according to claim 2, wherein the first multi-source data is fused through a preset panoramic aggregation model to obtain second multi-source data, and the panoramic display method specifically comprises:
according to a preset panoramic polymerization model, performing data unification on the first multi-source data to obtain standardized data;
performing data cleaning on the standardized data according to a preset panoramic polymerization model to obtain clean data;
according to a preset panoramic polymerization model, performing data completion on the clean data to obtain completed data;
and performing data fusion on the completion data according to a preset panoramic polymerization model to obtain second multi-source data.
4. The panoramic display method of the multi-source data according to claim 3, wherein the data unification is performed on the first multi-source data according to a preset panoramic aggregation model to obtain standardized data, and the method specifically comprises:
dividing the first multi-source data into structured data and unstructured data;
converting the structured data into first standard data according to a preset mapping model, and performing semantic analysis and image analysis on the unstructured data to obtain second standard data;
and taking the first standard data and the second standard data as standardized data.
5. The panoramic display method of the multi-source data according to claim 4, wherein the data fusion is performed on the complementary data according to a preset panoramic polymerization model to obtain second multi-source data, and the method specifically comprises:
extracting information to be identified from the completion data according to a preset information extraction method;
calculating the similarity between the information to be identified, and judging whether the completion data corresponding to the information to be identified are similar according to a preset similarity judgment threshold;
and merging the complementary data which are judged to be similar to obtain second multi-source data.
6. A panoramic display device of multi-source data is characterized in that the panoramic display device comprises a data acquisition unit, a noise filtering unit and a fusion display unit, wherein,
the data acquisition unit is used for acquiring multi-source data of a low-voltage platform area to be displayed;
the noise filtering unit is used for matching and filtering the multi-source data through a noise bank comparison module and a noise filtering module to obtain first multi-source data;
the fusion display unit is used for performing fusion processing on the first multi-source data through a preset panoramic polymerization model to obtain second multi-source data, and performing panoramic display on the data according to the second multi-source data.
7. The panoramic presentation device of multi-source data according to claim 6, wherein the noise filtering unit is further configured to:
comparing and matching the multi-source data with noise samples in a noise bank comparison module, and judging whether a first noise sample matched with the multi-source data exists in the noise samples in the noise bank comparison module;
if the first noise sample exists, locally performing noise filtering on the multi-source data according to the first noise sample to obtain first multi-source data of a gambler;
if the multi-source data do not exist, the multi-source data are uploaded to a cloud end, so that the cloud end analyzes and denoises the multi-source data according to the multi-source data and the noise library comparison module, and first multi-source data are obtained.
8. The panoramic representation device of claim 7, wherein the fusion representation unit is configured to:
according to a preset panoramic polymerization model, performing data unification on the first multi-source data to obtain standardized data;
according to a preset panoramic polymerization model, carrying out data cleaning on the standardized data to obtain clean data;
according to a preset panoramic polymerization model, performing data completion on the clean data to obtain completed data;
and performing data fusion on the completion data according to a preset panoramic polymerization model to obtain second multi-source data.
9. A computer-readable storage medium, comprising a stored computer program, wherein when the computer program runs, the apparatus in which the computer-readable storage medium is located is controlled to execute the panoramic display method of multi-source data according to any one of claims 1 to 5.
10. A panoramic representation system of multi-source data, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the panoramic representation method of multi-source data according to any one of claims 1 to 5.
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