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CN111563073B - NQI information sharing method, platform, server and readable storage medium - Google Patents

NQI information sharing method, platform, server and readable storage medium Download PDF

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Publication number
CN111563073B
CN111563073B CN202010309989.XA CN202010309989A CN111563073B CN 111563073 B CN111563073 B CN 111563073B CN 202010309989 A CN202010309989 A CN 202010309989A CN 111563073 B CN111563073 B CN 111563073B
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data information
information
characteristic
curve
data
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CN111563073A (en
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秦鑫
顾虎
王敏君
徐韵扬
潘林燕
吴娟红
吴怡
徐任仪
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HANGZHOU QUALITY TECHNOLOGY SUPERVISION INSPECTION INSTITUTE
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HANGZHOU QUALITY TECHNOLOGY SUPERVISION INSPECTION INSTITUTE
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/215Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors

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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a NQI information sharing method, a platform, a server and a readable storage medium, wherein the method is applied to the server, the server is in communication connection with a user terminal, and the method comprises the following steps: extracting the characteristics of first data information acquired from the user terminal, and capturing second data information corresponding to the first data information in an information pool; comparing the extracted characteristics of the first data information with the characteristics of the second data information, and determining a comparison result of the characteristics of the first data information and the second data information; discarding the first data information if the characteristic comparison result of the first data information and the second data information is the same; and if the characteristic comparison result of the first data information and the second data information is different, packaging the first data information and storing the first data information into the information pool. The invention realizes the rapid classification of big data by collecting, screening and arranging the data.

Description

NQI information sharing method, platform, server and readable storage medium
Technical Field
The invention belongs to the field of big data and cloud computing application, and particularly relates to a NQI information sharing method, a platform, a server and a readable storage medium.
Background
At present, the main developed countries and the manufacturing strong countries in the world increase the investment force on the national quality foundation, and bring out special policies, and NQI is raised to the national strategy level in the forms of legislation, strategic planning and the like, so as to strengthen the status and effect of NQI in the national development. For example, the national meeting issues a quality promotion act, and the measurement and the standard are listed in the national global strategy; the Germany implements national policies of "promote brand construction with quality, promote export of products with brand" and "industry 4.0" plans, taking the standard as a core strategy; the national policy of quality rescue is implemented in Japan, and the first-phase lead research establishes the national standard comprehensive strategy; korean has proposed a national quality management strategy framework, and the general act is a national standard council long.
In recent years, some related research works have been carried out by international organizations such as world banks, united states industry development organizations, international standardization organizations, etc., in combination with NQI research and service institutions in developed countries such as the united kingdom, the united states, japan, etc., and efforts to advance the collaborative development of NQI infrastructure worldwide have been actively made.
Although the national quality infrastructure of China has been the initial achievement, there is a great gap between the aspects of service modes, service contents and the like compared with the world manufacturing of strong countries and quality countries. With the continuous perfection of national quality basic technical system and laws and regulations in China, the international activity is continuously enhanced, and the one-stop integrated service mode provides necessary methods and ways for solving the problems of NQI service mode such as top-level design deficiency, service mode aging, low sharing efficiency and the like, and provides important support and guarantee for supporting industrial transformation development, improving policy environment and improving global economic speaking right.
Aiming at the current situations of low resource systemization level, insufficient open sharing degree and weak integrated service capability of the NQI technology, the invention researches and constructs NQI a basic theory system and a general standard system of resource integrated service, and mainly researches NQI a basic data integration technology, an application service key technology and a consumer product risk assessment management technology based on NQI integrated service, develops key application tools and equipment and constructs one-stop service.
The present invention has been made in view of this.
Disclosure of Invention
The present invention addresses the deficiencies of the prior art by providing a method, platform, server and readable storage medium for NQI information sharing that overcomes or at least partially solves the above-identified problems.
In order to solve the technical problems, the invention adopts the basic conception of the technical scheme that:
in one aspect, the present invention provides a method based on NQI information sharing, applied to a server, where the server is communicatively connected to a user terminal, the method comprising:
extracting the characteristics of first data information acquired from the user terminal, and capturing second data information corresponding to the first data information in an information pool;
comparing the extracted characteristics of the first data information with the characteristics of the second data information, and determining a comparison result of the characteristics of the first data information and the second data information;
discarding the first data information if the characteristic comparison result of the first data information and the second data information is the same;
and if the characteristic comparison result of the first data information and the second data information is different, packaging the first data information and storing the first data information into the information pool.
The step of comparing the extracted characteristics of the first data information with the extracted characteristics of the second data information to determine the comparison result of the characteristics of the first data information and the second data information comprises the following steps:
extracting at least a first characteristic value and a second characteristic value in the first data information, capturing the second data information corresponding to the first characteristic value in the information pool according to the first characteristic value, calling the second characteristic value of the second data information, and calculating a characteristic difference between the second characteristic value of the first data information and the second characteristic value of the second data information;
and comparing the feature difference with the feature confidence coefficient configured by the server to determine the feature comparison result of the first data information and the second data information.
Further, the step of comparing the feature gap with the feature confidence coefficient configured by the server includes:
converting the second characteristic value of the first data information into a characteristic curve, comparing the characteristic curve with the characteristic curve converted by the second characteristic value of the second data information, and capturing deformation points of the characteristic curve of the second characteristic value of the first data information and the characteristic curve of the second characteristic value of the second data information;
if no deformation point exists, the comparison result is judged to be the same;
if the deformation point exists, the comparison result is judged to be different.
Further, the step of converting the second characteristic value of the first data information into a characteristic curve and comparing the characteristic curve with the characteristic curve converted by the second characteristic value of the second data information includes:
dividing the characteristic curve into a plurality of curve segments, capturing the characteristic points in each curve segment of the first data information one by the characteristic points in each curve segment of the second data information, traversing all the curve segments, and judging that the comparison results are different if the potential difference exists between the characteristic points in each curve segment of the first data information and the characteristic points in each curve segment of the second data information;
or dividing the characteristic curve into a plurality of curve segments, capturing the characteristic points in each curve segment of the first data information by the characteristic points in each curve segment of the second data information, traversing all curve segments, and judging that the comparison results are different if the characteristic points which are not captured exist in the first data information.
In addition, after traversing all curve segments, if a bit difference exists between a characteristic point in each curve segment in the first data information and a characteristic point in each curve segment in the second data information, covering all characteristic points except the characteristic point with the bit difference of the second data information with the first data information, packaging the first data information, and then storing the first data information in an information pool;
and forming an information sequence according to the acquired time sequence at the position difference, and sequentially recording the position difference characteristic point of the second data information and the position difference characteristic point of the first data information.
And simultaneously, after traversing all curve segments, if the characteristic points which are not captured exist in the first data information, independently packaging the first data information and storing the first data information into the information pool.
In addition, the first characteristic value at least comprises domain information, area information, industry information, brand information and category information to which the first data information belongs;
and if the first characteristic value of the first data information and the first characteristic value of the second data information are in poor matching, independently packaging the first data information and storing the first data information into the information pool.
In one aspect, the present invention provides a platform using the NQI information sharing service method, applied to a server, where the server is communicatively connected to the user terminal, and the platform includes:
the feature extraction module is used for extracting features from the first data information acquired by the user terminal;
a capturing module for capturing second data information corresponding to the first data information in the information pool;
the analysis module is used for comparing the extracted characteristics of the first data information with the characteristics of the second data information, determining the comparison result of the characteristics of the first data information and the characteristics of the second data information and judging;
and the information pool is used for storing data information.
In one aspect, the present invention provides a server comprising a machine-readable storage medium storing machine-executable instructions and a processor that, when executing the machine-executable instructions, implements the NQI information sharing method described above.
In one aspect, the invention is a readable storage medium having stored therein machine executable instructions that, when executed, implement the NQI information sharing-based method described above.
After the technical scheme is adopted, compared with the prior art, the invention has the following beneficial effects: according to the NQI information sharing-based method, platform, server and readable storage medium, the rapid classification of big data is realized through the collection, screening and arrangement of data, the information is conveyed to the sharing platform by each user terminal, a perfect information pool is built, convenience is provided for information sharing, and one-stop service is built.
The following describes the embodiments of the present invention in further detail with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. It is evident that the drawings in the following description are only examples, from which other drawings can be obtained by a person skilled in the art without the inventive effort.
In the drawings:
FIG. 1 is a first schematic diagram of a method flow based on NQI information sharing in accordance with the present invention;
FIG. 2 is a second schematic diagram of a method flow based on NQI information sharing in accordance with the present invention;
fig. 3 is a third schematic diagram of a method flow based on NQI information sharing according to the present invention.
It should be noted that these drawings and the written description are not intended to limit the scope of the inventive concept in any way, but to illustrate the inventive concept to those skilled in the art by referring to the specific embodiments.
Description of the embodiments
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions in the embodiments will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present invention, and the following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
The following description is provided in connection with the accompanying drawings, and the specific operation method in the method embodiment may also be applied to the device embodiment or the system embodiment. In the description of the present application, unless otherwise indicated, "at least one" includes one or more. "plurality" means two or more. For example, at least one of A, B and C, includes: a alone, B alone, a and B together, a and C together, B and C together, and A, B and C together. In the present application, "/" means or, for example, A/B may represent A or B; "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone.
In some embodiments, the server may be a single server or a group of servers. The server farm may be centralized or distributed (e.g., the servers may be distributed systems). In some embodiments, the server may be local or remote to the terminal. For example, the server may access information stored in the user terminal, a database, or any combination thereof via a network. As another example, the server may be directly connected to at least one of the user terminal and the database to access information and/or data stored therein. In some embodiments, the server may be implemented on a cloud platform; for example only, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud (community cloud), distributed cloud, inter-cloud (inter-cloud), multi-cloud (multi-cloud), and the like, or any combination thereof. In some embodiments, the server and user terminal may be implemented on an electronic device having one or more components of embodiments of the present application.
In some embodiments, the server may include a processor. The processor may process information and/or data related to the service request to perform one or more functions described herein. For example, in the shared printing service, the processor may determine the target shared printing terminal based on a print reservation request obtained from the user terminal. The processor may include one or more processing cores (e.g., a single core processor (S) or a multi-core processor (S)). By way of example only, the Processor may include a central processing unit (Central Processing Unit, CPU), application specific integrated circuit (Application SpecificIntegrated Circuit, ASIC), special instruction set Processor (Application Specific Instruction-set Processor, ASIP), graphics processing unit (Graphics Processing Unit, GPU), physical processing unit (Physics Processing Unit, PPU), digital signal Processor (Digital Signal Processor, DSP), field programmable gate array (Field Programmable Gate Array, FPGA), programmable logic device (Programmable Logic Device, PLD), controller, microcontroller unit, reduced instruction set computer (ReducedInstruction Set Computing, RISC), microprocessor, or the like, or any combination thereof.
The network may be used for the exchange of information and/or data. In some embodiments, one or more components in the interaction scenario (e.g., servers, user terminals, and databases) may send information and/or data to other components. In some embodiments, the network may be any type of wired or wireless network, or a combination thereof. By way of example only, the network may include a wired network, a Wireless network, a fiber optic network, a telecommunications network, an intranet, the Internet, a Local area network (Local AreaNetwork, LAN), a Wide area network (Wide Area Network, WAN), a Wireless Local area network (Wireless Local AreaNetworks, WLAN), a metropolitan area network (Metropolitan Area Network, MAN), a Wide area network (Wide AreaNetwork, WAN), a public switched telephone network (Public Switched Telephone Network, PSTN), a Bluetooth network, a ZigBee network, a near field communication (Near Field Communication, NFC) network, or the like, or any combination thereof. In some embodiments, the network may include one or more network access points. For example, the network may include wired or wireless network access points, such as base stations and/or network switching nodes, through which one or more components of the interaction scenario may connect to the network to exchange data and/or information.
In some embodiments, the user terminal may include, but is not limited to, a mobile device, a tablet computer, a laptop computer, or any two or more combinations thereof. In some embodiments, the mobile device may include, but is not limited to, a smart home device, a wearable device, a smart mobile device, a virtual reality device, or an augmented reality device, or the like, or any combination thereof. In some embodiments, the smart home devices may include, but are not limited to, smart lighting devices, control devices for smart appliances, smart monitoring devices, smart televisions, smart cameras, interphones, or the like, or any combination thereof. In some embodiments, the wearable device may include, but is not limited to, a smart wristband, a smart lace, a smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, etc., or any combination thereof. In some embodiments, the smart mobile device may include, but is not limited to, a smart phone, a personal digital assistant (Personal Digital Assistant, PDA), a gaming device, a navigation device, or a point of sale (POS) device, etc., or any combination thereof. In some embodiments, the virtual reality device and/or the augmented reality device may include, but are not limited to, a virtual reality helmet, a virtual reality glass, a virtual reality patch, an augmented reality helmet, an augmented reality glass, or an augmented reality patch, or the like, or any combination thereof. For example, the virtual reality device and/or the augmented reality device may include, but are not limited to, various virtual reality products, and the like.
The aforementioned database may store data and/or instructions. In some embodiments, the database may store data obtained from the user terminal. In some embodiments, the database may store data and/or instructions of the exemplary methods described in the present application. In some embodiments, the database may include mass storage, removable storage, volatile Read-write Memory, or Read-Only Memory (ROM), or the like, or any combination thereof. By way of example, mass storage may include magnetic disks, optical disks, solid state drives, and the like; removable memory may include flash drives, floppy disks, optical disks, memory cards, zip disks, magnetic tape, and the like; the volatile read-write memory may include random access memory (RandomAccess Memory, RAM); the RAM may include dynamic RAM (Dynamic Random Access Memory, DRAM), double data Rate Synchronous dynamic RAM (DDR SDRAM); static Random-Access Memory (SRAM), thyristor RAM (T-RAM) and Zero-capacitor RAM (Zero-RAM), etc. By way of example, the ROM may include Mask ROM (MROM), programmable ROM (Programmable Read-Only Memory, PROM), erasable programmable ROM (Programmable Erasable Read-Only Memory, PEROM), electrically erasable programmable ROM (Electrically Erasable Programmable read Only Memory, EEPROM), compact disk ROM (CD-ROM), and digital versatile disk ROM, among others. In some embodiments, the database may be implemented on a cloud platform. For example only, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, cross-cloud, multi-cloud, or other similar, or the like, or any combination thereof.
In some embodiments, the database may be connected to a network to communicate with one or more components in an interaction scenario (e.g., server and user terminal, etc.). One or more components in the interaction scenario may access data or instructions stored in a database via a network. In some embodiments, the database may be directly connected to one or more components in the interaction scenario (e.g., server and user terminal, etc.); alternatively, in some embodiments, the database may be part of a server.
The problems of large industrial span, too fine classification, complex data, dispersion and hysteresis in the traditional fields of measurement, standard, inspection and detection and authentication are solved; the method solves the problems that the existing detection equipment in various industries has various types, the imported, domestic and custom-developed equipment executes respective standards, the software database platform and the database structure are different, and the aggregation with standard, inspection, detection and authentication approval service resources is not easy; the method solves the problem of large development difference of basic detection resources of different industries, different area detection equipment, guaranteed service capability, experts, technical teams and the like, and realizes the key scientific and technical problems of non-uniform data structure, non-tight information association, large resource aggregation difficulty and the like of the data information base in different fields.
In one aspect, as shown in fig. 1, the method based on NQI information sharing of the present invention is applied to a server, where the server is communicatively connected to a user terminal, and the method includes:
extracting the characteristics of first data information acquired from the user terminal, and capturing second data information corresponding to the first data information in an information pool;
comparing the extracted characteristics of the first data information with the characteristics of the second data information, and determining a comparison result of the characteristics of the first data information and the second data information;
discarding the first data information if the characteristic comparison result of the first data information and the second data information is the same;
and if the characteristic comparison result of the first data information and the second data information is different, packaging the first data information and storing the first data information into the information pool.
As shown in fig. 2, the step of determining a comparison result between the first data information and the second data information according to the extracted feature of the first data information and the feature of the second data information includes:
extracting at least a first characteristic value and a second characteristic value in the first data information, capturing the second data information corresponding to the first characteristic value in the information pool according to the first characteristic value, calling the second characteristic value of the second data information, and calculating a characteristic difference between the second characteristic value of the first data information and the second characteristic value of the second data information;
and comparing the feature difference with the feature confidence coefficient configured by the server to determine the feature comparison result of the first data information and the second data information.
As shown in fig. 3, the step of comparing the feature gap with the feature confidence of the server configuration includes:
converting the second characteristic value of the first data information into a characteristic curve, comparing the characteristic curve with the characteristic curve converted by the second characteristic value of the second data information, and capturing deformation points of the characteristic curve of the second characteristic value of the first data information and the characteristic curve of the second characteristic value of the second data information;
if no deformation point exists, the comparison result is judged to be the same;
if the deformation point exists, the comparison result is judged to be different.
In order to further solve the technical problem described in the present application, the step of converting the second characteristic value of the first data information into a characteristic curve and comparing the characteristic curve with the characteristic curve converted from the second characteristic value of the second data information includes:
dividing the characteristic curve into a plurality of curve segments, capturing the characteristic points in each curve segment of the first data information one by the characteristic points in each curve segment of the second data information, traversing all the curve segments, and judging that the comparison results are different if the potential difference exists between the characteristic points in each curve segment of the first data information and the characteristic points in each curve segment of the second data information;
or dividing the characteristic curve into a plurality of curve segments, capturing the characteristic points in each curve segment of the first data information by the characteristic points in each curve segment of the second data information, traversing all curve segments, and judging that the comparison results are different if the characteristic points which are not captured exist in the first data information.
In addition, after traversing all curve segments, if a bit difference exists between a characteristic point in each curve segment in the first data information and a characteristic point in each curve segment in the second data information, covering all characteristic points except the characteristic point with the bit difference of the second data information with the first data information, packaging the first data information, and then storing the first data information in an information pool;
and forming an information sequence according to the acquired time sequence at the position difference, and sequentially recording the position difference characteristic point of the second data information and the position difference characteristic point of the first data information.
And simultaneously, after traversing all curve segments, if the characteristic points which are not captured exist in the first data information, independently packaging the first data information and storing the first data information into the information pool.
In addition, the first characteristic value at least comprises domain information, area information, industry information, brand information and category information to which the first data information belongs;
and if the first characteristic value of the first data information and the first characteristic value of the second data information are in poor matching, independently packaging the first data information and storing the first data information into the information pool.
In an application scenario, a server acquires information from a plurality of user terminals, for example, acquires the first data information, extracts corresponding features therein, for example, a first feature value of the first data information comes from the steel industry, classifies the information of the first data information belonging to the field as the energy field, further classifies the information according to the carried regional information, for example, the region belonging to the Hebei province, classifies industry information as the steel industry, judges brand information according to the situation, classifies an ID belonging to the production as the brand information if the first data information carries information of a corresponding manufacturer and the like, and classifies the ID belonging to the production as the category information, for example, annual year, quarter production value, annual GPD, corresponding data of certain steel, parameters, standards and the like.
Further, the second characteristic value may be a yield value, a production yield, a unit price, a total price, a region of main service, a production plan of the next quarter, a corresponding news link, etc. under the first characteristic value.
Further, the information of the belonging fields, the regional information, the industry information, the brand information and the category information are given corresponding and unique coordinate values, a characteristic curve is established, for example, the coordinates of the energy field are (1, 1), the coordinates of the Hebei province are (2, 3), the coordinates of the steel industry are (4, 5), the brand information is (10, 12), the category information is (5, 5), further, if the two-dimensional coordinates are not enough to be distinguished or the distinguishing effect is not obvious, a three-dimensional characteristic curve mode or a multi-dimensional characteristic curve can be adopted, for example, a three-dimensional characteristic curve is formed in a space, three coordinate values of each characteristic value are given to form a three-dimensional characteristic curve, or a time, a certain rank or a parameter value calculated correspondingly can be given at the same time when the three-dimensional coordinates are given, and the three-dimensional characteristic curve is distinguished as fourth-dimensional or remark information.
Further, after obtaining information of a certain category in the energy field, hebei province, the steel industry and a certain brand, searching in an information pool, simply, discarding the information if the information exists before, discarding the information as remarks, and further setting that if the information is repeatedly submitted for a certain number of times, degrading or remarking the corresponding user terminal.
If the information is not already present in the information pool, the information is encapsulated and stored in the information pool for later recall use.
When judging the characteristic curves, dividing the characteristic curves according to each characteristic information, dividing the characteristic curves into a field information curve, a region information curve, an industry information curve and the like, calculating the confidence coefficient of each characteristic curve, and judging that the characteristic curves are different if the potential difference exists.
In one application scenario, for example, in the jewelry industry, the domain information may be assigned to the luxury domain, the region may be selected from north China, middle China, a province, a city, or a specific region, the industry information may be assigned to the jewelry information, the brand information may be assigned according to the code of the corresponding brand, the categories may be full categories, or the categories of rings, necklaces, earrings, etc., and the remaining calculation and comparison methods are consistent with the methods of the energy domain.
In one aspect, the present invention provides a platform using the NQI information sharing service method, applied to a server, where the server is communicatively connected to the user terminal, and the platform includes:
the feature extraction module is used for extracting features from the first data information acquired by the user terminal;
a capturing module for capturing second data information corresponding to the first data information in the information pool;
the analysis module is used for comparing the extracted characteristics of the first data information with the characteristics of the second data information, determining the comparison result of the characteristics of the first data information and the characteristics of the second data information and judging;
and the information pool is used for storing data information.
In one aspect, the present invention provides a server comprising a machine-readable storage medium storing machine-executable instructions and a processor that, when executing the machine-executable instructions, implements the NQI information sharing method described above.
In one aspect, the invention is a readable storage medium having stored therein machine executable instructions that, when executed, implement the NQI information sharing-based method described above.
The machine-readable storage medium acts as a kind of computer-readable storage medium, storing software programs, computer-executable programs, and modules. The processor performs various functional applications and data processing of the terminal device by detecting software programs, instructions and modules stored in the machine-readable storage medium, for example, in the method based on NQI information sharing, which is not described herein.
The machine-readable storage medium may include primarily a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for functionality; the storage data area may store data created according to the use of the terminal, etc. Further, the machine-readable storage medium may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a Read-only memory (ROM), a Programmable ROM (PROM), an Erasable Programmable ROM (EPROM), an Electrically Erasable Programmable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (Random Access Memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate Synchronous DRAM (Double DataRateSDRAM, DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), and direct memory bus RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to comprise, without being limited to, memory of these and any other suitable publishing nodes. In some examples, the machine-readable storage medium may further include a memory remotely located relative to the processor, the remote memory being connectable to the terminal device through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method embodiments may be implemented by integrated logic circuits of hardware in a processor or instructions in software form. The processor may be a general purpose processor, a digital signal processor (dsp), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), an off-the-shelf programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor.
The server may interact with other devices via a communication interface. The communication interface may be a circuit, bus, transceiver, or any other device that may be used to communicate information. The processor may transmit and receive information using a communication interface.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made to the embodiments of the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to encompass such modifications and variations.

Claims (5)

1. A method based on NQI information sharing, applied to a server, where the server is communicatively connected to a user terminal, the method comprising:
extracting the characteristics of first data information acquired from the user terminal, and capturing second data information corresponding to the first data information in an information pool;
extracting at least a first characteristic value and a second characteristic value in the first data information, capturing the second data information corresponding to the first characteristic value in the information pool according to the first characteristic value, calling the second characteristic value of the second data information, and calculating a characteristic difference between the second characteristic value of the first data information and the second characteristic value of the second data information;
comparing the feature difference with the feature confidence coefficient configured by the server to determine a result of feature comparison of the first data information and the second data information;
discarding the first data information if the characteristic comparison result of the first data information and the second data information is the same;
if the characteristic comparison result of the first data information and the second data information is different, the first data information is packaged and stored in the information pool;
the step of comparing the feature gap with the feature confidence coefficient configured by the server comprises the following steps:
converting the second characteristic value of the first data information into a characteristic curve, comparing the characteristic curve with the characteristic curve converted by the second characteristic value of the second data information,
capturing deformation points of a characteristic curve of a second characteristic value of the first data information and a characteristic curve of the second characteristic value of the second data information;
if no deformation point exists, the comparison result is judged to be the same;
if the deformation points exist, judging that the comparison results are different;
the step of converting the second characteristic value of the first data information into a characteristic curve and comparing the characteristic curve with the characteristic curve converted by the second characteristic value of the second data information comprises the following steps:
dividing the characteristic curve into a plurality of curve segments, capturing the characteristic points in each curve segment of the first data information one by the characteristic points in each curve segment of the second data information, traversing all the curve segments, and judging that the comparison results are different if the potential difference exists between the characteristic points in each curve segment of the first data information and the characteristic points in each curve segment of the second data information;
or dividing the characteristic curve into a plurality of curve segments, capturing the characteristic points in each curve segment of the first data information by the characteristic points in each curve segment of the second data information, and judging that the comparison results are different if the characteristic points which are not captured exist in the first data information after traversing all the curve segments;
the first characteristic value at least comprises domain information, region information, industry information, brand information and category information to which the first data information belongs;
if the first characteristic value of the first data information and the first characteristic value of the second data information are in poor matching, the first data information is independently packaged and stored in the information pool;
after traversing all curve segments, if the characteristic points which are not captured exist in the first data information, the first data information is independently packaged and stored in the information pool.
2. A method based on NQI information sharing according to claim 1, wherein: after traversing all curve segments, if a bit difference exists between the characteristic point in each curve segment in the first data information and the characteristic point in each curve segment in the second data information, covering all the characteristic points except the characteristic point with the bit difference of the second data information with the first data information, packaging the first data information, and storing the first data information into an information pool;
and forming an information sequence according to the acquired time sequence at the position difference, and sequentially recording the position difference characteristic point of the second data information and the position difference characteristic point of the first data information.
3. A platform based on NQI information sharing service method according to claim 1 or 2, applied to a server, said server being communicatively connected to said user terminal, said platform comprising:
the feature extraction module is used for extracting features from the first data information acquired by the user terminal;
a capturing module for capturing second data information corresponding to the first data information in the information pool;
the analysis module is used for comparing the extracted characteristics of the first data information with the characteristics of the second data information, determining the comparison result of the characteristics of the first data information and the characteristics of the second data information and judging;
and the information pool is used for storing data information.
4. A server, characterized by: the server comprises a machine-readable storage medium storing machine-executable instructions and a processor which, when executing the machine-executable instructions, implements the NQI information sharing-based method of claim 1 or 2.
5. A readable storage medium, characterized by: the readable storage medium has stored therein machine executable instructions which, when executed, implement the NQI information sharing based method of claim 1 or 2.
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Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112687395A (en) * 2020-12-30 2021-04-20 上海京知信息科技有限公司 Artificial intelligent medical information processing method, device, equipment and storage medium
CN113298364A (en) * 2021-05-11 2021-08-24 杭州市质量技术监督检测院 One-stop integrated service platform based on local NQI resources

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101326840A (en) * 2005-12-12 2008-12-17 Lg电子株式会社 Method and apparatus for distinguishing data in session based communications
CN108052628A (en) * 2017-12-19 2018-05-18 河北省科学院应用数学研究所 Switch starting electric current detecting method, system and terminal device
CN110032670A (en) * 2019-04-17 2019-07-19 腾讯科技(深圳)有限公司 Method for detecting abnormality, device, equipment and the storage medium of time series data
WO2019228148A1 (en) * 2018-05-31 2019-12-05 西安中兴新软件有限责任公司 Image processing method and device, and storage medium

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102006044929B4 (en) * 2006-09-22 2008-10-23 Opticom Dipl.-Ing. Michael Keyhl Gmbh Device for determining information about the time alignment of two information signals
US8108887B2 (en) * 2008-10-30 2012-01-31 The Nielsen Company (Us), Llc Methods and apparatus for identifying media content using temporal signal characteristics
DE102009054664A1 (en) * 2009-12-15 2011-06-16 Robert Bosch Gmbh Method and device for active detection of objects taking into account previous detection results
CN104239301B (en) * 2013-06-06 2018-02-13 阿里巴巴集团控股有限公司 A kind of data comparison method and device
CN105677645B (en) * 2014-11-17 2018-12-21 阿里巴巴集团控股有限公司 A kind of tables of data comparison method and device
CN105095367B (en) * 2015-06-26 2018-12-28 北京奇虎科技有限公司 A kind of acquisition method and device of client data
CN105045900A (en) * 2015-08-05 2015-11-11 石河子大学 Data extraction method and apparatus
CN106570049B (en) * 2016-08-20 2019-11-01 合肥国为电子有限公司 The curve QuickDraw method and its system of big data quantity in a kind of geological prospecting
US11194809B2 (en) * 2016-12-02 2021-12-07 International Business Machines Corporation Predicting performance of database queries

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101326840A (en) * 2005-12-12 2008-12-17 Lg电子株式会社 Method and apparatus for distinguishing data in session based communications
CN108052628A (en) * 2017-12-19 2018-05-18 河北省科学院应用数学研究所 Switch starting electric current detecting method, system and terminal device
WO2019228148A1 (en) * 2018-05-31 2019-12-05 西安中兴新软件有限责任公司 Image processing method and device, and storage medium
CN110032670A (en) * 2019-04-17 2019-07-19 腾讯科技(深圳)有限公司 Method for detecting abnormality, device, equipment and the storage medium of time series data

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"互联网+质量技术基础服务"助推高质量发展初探;蒋奕平等;《工程科技Ⅱ辑》;全文 *
Industry Quality Infrastructure: A Review;Qi Li等;《IEEE》;全文 *

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