CN113742374A - Information processing method and server applied to smart city - Google Patents
Information processing method and server applied to smart city Download PDFInfo
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Abstract
The embodiment of the application provides an information processing method and a server applied to a smart city, wherein the method comprises the following steps: acquiring a first service interactive content set of target city service information in a smart city service project; determining the service attribute information of the target city service information according to the first service interactive content set; according to the project information mining indication corresponding to the service attribute information, performing project information mining on the target city service information to obtain a mining result; and determining whether the target city service information has a safety detection label according to the mining result, so that the comprehensiveness of project information mining can be improved.
Description
Technical Field
The application relates to the technical field of smart cities and information processing, in particular to an information processing method and a server applied to the smart cities.
Background
With the continuous development of smart cities, generally speaking, a great amount of information is generated during the construction of smart cities, and how to detect the safety of the information is a technical problem which needs to be solved urgently at present.
Disclosure of Invention
In order to solve the technical problems in the related art, the application provides an information processing method and a server applied to a smart city.
The application provides an information processing method applied to a smart city, which comprises the following steps:
acquiring a first service interactive content set of target city service information in a smart city service project; determining the service attribute information of the target city service information according to the first service interactive content set;
according to the project information mining indication corresponding to the service attribute information, performing project information mining on the target city service information to obtain a mining result; and determining whether the target city service information has a safety detection label or not according to the mining result.
Preferably, the determining the service attribute information of the target city service information according to the first service interaction content set includes:
comparing the first service interactive content set with a service interactive content set in a service set to obtain a comparison result; and determining the service attribute information according to the comparison result.
Preferably, the determining the service attribute information according to the comparison result includes:
if the comparison result is that a second service interaction content set corresponding to the first service interaction content set exists in the service set, acquiring service label information of the second service interaction content set;
if the service label information is single service information or a plurality of groups of service information, determining the service attribute information as first service attribute information;
and if the service label information is not single service information and is not multi-group service information, determining that the service attribute information is second service attribute information.
Preferably, the determining the service attribute information according to the comparison result includes:
if the comparison result is that a second service interaction content set corresponding to the first service interaction content set exists in the service set, determining that the service attribute information is first service attribute information; and if the comparison result indicates that a second service interaction content set corresponding to the first service interaction content set does not exist in the service set, determining that the service attribute information is second service attribute information.
Preferably, the performing, according to the project information mining instruction corresponding to the service attribute information, project information mining on the target city service information to obtain a mining result includes:
if the service attribute information is first service attribute information, displaying guide information for acquiring security feature data; receiving safety characteristic data input by the target city service information; and carrying out project information mining on the target city service information according to the first service interactive content set and a third service interactive content set corresponding to the safety feature data to obtain a mining result.
Preferably, the method further comprises:
and if the service attribute information is second service attribute information, carrying out project information mining on the target city service information according to the first service interactive content set to obtain a mining result.
Preferably, the performing, according to the project information mining instruction corresponding to the service attribute information, project information mining on the target city service information to obtain a mining result includes:
if the service attribute information is first service attribute information, analyzing the first service interactive content set through a plurality of preset service information processing threads to obtain a service analysis result; and mining project information of the target city service information according to the service analysis result to obtain a mining result.
Preferably, the performing, according to the project information mining instruction corresponding to the service attribute information, project information mining on the target city service information to obtain a mining result includes:
if the service attribute information is first service attribute information, displaying guide information for acquiring security feature data; receiving safety characteristic data input by the target city service information;
acquiring first key data and first significant content according to the safety feature data; acquiring the global service description of the target city service information;
determining second key data and second significance content of the target city service information according to the global service description;
and mining project information of the target city service information according to the first key data, the first significant content, the second key data and the second significant content to obtain a mining result.
The application also provides an information processing server, which comprises a memory, a processor and a network module; wherein the memory, the processor, and the network module are electrically connected directly or indirectly; the processor reads the computer program from the memory and runs the computer program to realize the method.
The technical scheme provided by the embodiment of the application can have the following beneficial effects.
Through obtaining the first business interaction content set of target city business information in the wisdom urban service project, according to first business interaction content set, confirm the business attribute information of target city business information, according to with the project information mining instruction that business attribute information corresponds, right the project information mining is carried out to target city business information to obtain the mining result, the basis the mining result confirms whether target city business information has the safety inspection label, consequently, can excavate the instruction according to the project information mining that the business attribute information of target city business information corresponds and carry out the project information mining, thereby all adopt the same project information mining instruction to target city business information to carry out the project information mining in the scheme now, this application can promote the comprehensiveness when project information mining.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of an information processing method applied to a smart city according to an embodiment of the present disclosure.
Fig. 2 is a schematic diagram of a hardware structure of an information processing server according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Referring to fig. 1, an embodiment of the present application provides a flowchart of an information processing method applied to a smart city, which is applied to an information processing server, and further, the method can be specifically described by following steps 1 and 2.
Step 2, according to the project information mining indication corresponding to the service attribute information, performing project information mining on the target city service information to obtain a mining result; and determining whether the target city service information has a safety detection label or not according to the mining result.
In a possible implementation manner, the determining, according to the first service interaction content set, service attribute information of the target city service information may specifically include: comparing the first service interactive content set with a service interactive content set in a service set to obtain a comparison result; and determining the service attribute information according to the comparison result.
Further, the determining the service attribute information according to the comparison result may specifically include: if the comparison result is that a second service interaction content set corresponding to the first service interaction content set exists in the service set, acquiring service label information of the second service interaction content set; if the service label information is single service information or a plurality of groups of service information, determining the service attribute information as first service attribute information; and if the service label information is not single service information and is not multi-group service information, determining that the service attribute information is second service attribute information.
Further, the determining the service attribute information according to the comparison result may specifically include: if the comparison result is that a second service interaction content set corresponding to the first service interaction content set exists in the service set, determining that the service attribute information is first service attribute information; and if the comparison result indicates that a second service interaction content set corresponding to the first service interaction content set does not exist in the service set, determining that the service attribute information is second service attribute information.
In a possible implementation manner, the performing, according to the project information mining indication corresponding to the service attribute information, project information mining on the target city service information to obtain a mining result may specifically include: if the service attribute information is first service attribute information, displaying guide information for acquiring security feature data; receiving safety characteristic data input by the target city service information; and carrying out project information mining on the target city service information according to the first service interactive content set and a third service interactive content set corresponding to the safety feature data to obtain a mining result.
In one possible implementation, the method may further include the following description: and if the service attribute information is second service attribute information, carrying out project information mining on the target city service information according to the first service interactive content set to obtain a mining result.
In a possible implementation manner, the performing, according to the project information mining indication corresponding to the service attribute information, project information mining on the target city service information to obtain a mining result includes: if the service attribute information is first service attribute information, analyzing the first service interactive content set through a plurality of preset service information processing threads to obtain a service analysis result; and mining project information of the target city service information according to the service analysis result to obtain a mining result.
In a possible implementation manner, the performing, according to the project information mining indication corresponding to the service attribute information, project information mining on the target city service information to obtain a mining result includes: if the service attribute information is first service attribute information, displaying guide information for acquiring security feature data; receiving safety characteristic data input by the target city service information; acquiring first key data and first significant content according to the safety feature data; acquiring the global service description of the target city service information; determining second key data and second significance content of the target city service information according to the global service description; and mining project information of the target city service information according to the first key data, the first significant content, the second key data and the second significant content to obtain a mining result.
By executing the step 1 and the step 2, by acquiring a first service interactive content set of target city service information in a smart city service project, determining service attribute information of the target city service information according to the first service interactive content set, mining an indication according to project information corresponding to the service attribute information, performing project information mining on the target city service information to obtain a mining result, determining whether the target city service information has a safety detection label according to the mining result, therefore, the project information mining can be carried out according to the project information mining instruction corresponding to the service attribute information of the target city service information, therefore, compared with the prior art that the same project information mining instruction is adopted for the target city service information to carry out project information mining, the method and the system can improve the comprehensiveness of the project information mining.
On the basis of the above content, the present application further provides an information processing apparatus applied to a smart city, and the apparatus may specifically include the following functional modules:
the content acquisition module is used for acquiring a first service interaction content set of target city service information in the smart city service project; determining the service attribute information of the target city service information according to the first service interactive content set;
the information mining module is used for mining the project information of the target city service information according to the project information mining indication corresponding to the service attribute information so as to obtain a mining result; and determining whether the target city service information has a safety detection label or not according to the mining result.
On the basis, please refer to fig. 2 in combination, the present application further provides a schematic diagram of a hardware structure of the information processing server 20, which specifically includes a memory 21, a processor 22, a network module 23, and an information processing apparatus applied to a smart city. The memory 21, the processor 22 and the network module 23 are electrically connected directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 21 stores therein a food production data processing apparatus including at least one software function module which can be stored in the memory 21 in the form of software or firmware (firmware), and the processor 22 executes the software program and the module stored in the memory 21.
The Memory 21 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 21 is configured to store a program, and the processor 22 executes the program after receiving the execution instruction.
The processor 22 may be an integrated circuit chip having data processing capabilities. The Processor 22 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention 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 network module 23 is used for establishing a communication connection between the information processing server 20 and other communication terminal devices through a network, and implementing transceiving operations of network signals and data. The network signal may include a wireless signal or a wired signal.
Further, a readable storage medium is provided, on which a program is stored, which when executed by a processor implements the method described above.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
It is well known to those skilled in the art that with the development of electronic information technology such as large scale integrated circuit technology and the trend of software hardware, it has been difficult to clearly divide the software and hardware boundaries of a computer system. As any of the operations may be implemented in software or hardware. Execution of any of the instructions may be performed by hardware, as well as by software. Whether a hardware implementation or a software implementation is employed for a certain machine function depends on non-technical factors such as price, speed, reliability, storage capacity, change period, and the like. Accordingly, it will be apparent to those skilled in the art of electronic information technology that a more direct and clear description of one embodiment is provided by describing the various operations within the embodiment. Knowing the operations to be performed, the skilled person can directly design the desired product based on considerations of said non-technical factors.
The present application may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present application.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present application may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry can execute computer-readable program instructions to implement aspects of the present application by utilizing state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present application are described herein 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 block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, 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/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.
Having described embodiments of the present application, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the application is defined by the appended claims.
Claims (9)
1. An information processing method applied to a smart city, the method comprising:
acquiring a first service interactive content set of target city service information in a smart city service project; determining the service attribute information of the target city service information according to the first service interactive content set;
according to the project information mining indication corresponding to the service attribute information, performing project information mining on the target city service information to obtain a mining result; and determining whether the target city service information has a safety detection label or not according to the mining result.
2. The method of claim 1, wherein the determining the service attribute information of the target city service information according to the first service interaction content set comprises:
comparing the first service interactive content set with a service interactive content set in a service set to obtain a comparison result; and determining the service attribute information according to the comparison result.
3. The method of claim 2, wherein said determining the service attribute information according to the comparison result comprises:
if the comparison result is that a second service interaction content set corresponding to the first service interaction content set exists in the service set, acquiring service label information of the second service interaction content set;
if the service label information is single service information or a plurality of groups of service information, determining the service attribute information as first service attribute information;
and if the service label information is not single service information and is not multi-group service information, determining that the service attribute information is second service attribute information.
4. The method of claim 2, wherein said determining the service attribute information according to the comparison result comprises:
if the comparison result is that a second service interaction content set corresponding to the first service interaction content set exists in the service set, determining that the service attribute information is first service attribute information; and if the comparison result indicates that a second service interaction content set corresponding to the first service interaction content set does not exist in the service set, determining that the service attribute information is second service attribute information.
5. The method according to claim 3 or 4, wherein the performing item information mining on the target city service information according to an item information mining indication corresponding to the service attribute information to obtain a mining result comprises:
if the service attribute information is first service attribute information, displaying guide information for acquiring security feature data; receiving safety characteristic data input by the target city service information; and carrying out project information mining on the target city service information according to the first service interactive content set and a third service interactive content set corresponding to the safety feature data to obtain a mining result.
6. The method of claim 5, further comprising:
and if the service attribute information is second service attribute information, carrying out project information mining on the target city service information according to the first service interactive content set to obtain a mining result.
7. The method according to claim 3 or 4, wherein the performing item information mining on the target city service information according to an item information mining indication corresponding to the service attribute information to obtain a mining result comprises:
if the service attribute information is first service attribute information, analyzing the first service interactive content set through a plurality of preset service information processing threads to obtain a service analysis result; and mining project information of the target city service information according to the service analysis result to obtain a mining result.
8. The method according to claim 3 or 4, wherein the performing item information mining on the target city service information according to an item information mining indication corresponding to the service attribute information to obtain a mining result comprises:
if the service attribute information is first service attribute information, displaying guide information for acquiring security feature data; receiving safety characteristic data input by the target city service information;
acquiring first key data and first significant content according to the safety feature data; acquiring the global service description of the target city service information;
determining second key data and second significance content of the target city service information according to the global service description;
and mining project information of the target city service information according to the first key data, the first significant content, the second key data and the second significant content to obtain a mining result.
9. An information processing server, comprising a memory, a processor, and a network module; wherein the memory, the processor, and the network module are electrically connected directly or indirectly; the processor implements the method of any one of claims 1-8 by reading the computer program from the memory and running it.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111073227.5A CN113742374A (en) | 2021-09-14 | 2021-09-14 | Information processing method and server applied to smart city |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111073227.5A CN113742374A (en) | 2021-09-14 | 2021-09-14 | Information processing method and server applied to smart city |
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| Publication Number | Publication Date |
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| CN113742374A true CN113742374A (en) | 2021-12-03 |
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| CN202111073227.5A Withdrawn CN113742374A (en) | 2021-09-14 | 2021-09-14 | Information processing method and server applied to smart city |
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2021
- 2021-09-14 CN CN202111073227.5A patent/CN113742374A/en not_active Withdrawn
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Application publication date: 20211203 |