CN114418352A - Office equipment interaction information analysis method and server - Google Patents

Abstract

The application discloses an information analysis method and a server for office equipment interaction, wherein a to-be-processed information set is obtained from monitoring records of a plurality of office equipment; acquiring a monitoring stage content set from the acquired information set to be processed; and obtaining interaction information analysis conditions through the obtained monitoring stage content set and a plurality of intelligent threads which are pre-configured, wherein different intelligent threads in the plurality of intelligent threads mine key descriptions of different stages of the office equipment, and the plurality of intelligent threads are marked through the following steps: determining quantitative indexes of each business event of the office equipment through a plurality of pre-trained periodic intelligent threads; the determined quantization indexes are transmitted into a classifier to obtain matched importance indexes matched with the quantization indexes; respectively determining the quantitative indexes of each business event of the office equipment and the quality expression of the importance indexes matched with the quantitative indexes; and tagging the smart thread according to the quality expression.

Description

Office equipment interaction information analysis method and server

Technical Field

The application relates to the technical field of intelligent office, in particular to an information analysis method and a server for office equipment interaction.

Background

Along with the development of information technology, the intelligent office is also continuously advanced, and while the intelligent office is continuously developed, some problems also exist, such as: it is difficult to select a proper intelligent thread to perform big data analysis processing of intelligent office so as to obtain accurate and reliable interactive information analysis conditions.

Disclosure of Invention

In order to solve the technical problems in the related art, the application provides an information analysis method and a server for office equipment interaction.

The application provides an information analysis method for office equipment interaction, which comprises the following steps: acquiring a to-be-processed information set from a plurality of office equipment monitoring records; acquiring a monitoring stage content set from the acquired information set to be processed; and obtaining interaction information analysis conditions through the obtained monitoring stage content set and a plurality of intelligent threads which are pre-configured, wherein different intelligent threads in the plurality of intelligent threads mine key descriptions of different stages of office equipment, and the plurality of intelligent threads are marked through the following steps: determining a quantitative index of each business event of the office equipment through a plurality of pre-trained periodic intelligent threads; the determined quantization indexes are transmitted into a classifier to obtain matched importance indexes matched with the quantization indexes; respectively determining the quantitative indexes of each business event of the office equipment and the quality expression of the importance indexes matched with the quantitative indexes; and tagging the intelligent thread according to the quality expression.

Optionally, the step of tagging the intelligent thread according to the quality expression comprises: and marking a plurality of stage intelligent threads with larger quality expression as the intelligent threads.

Optionally, the method further comprises: and transmitting the quantitative indexes determined by the marked stage intelligent threads into the classifier again to update the importance indexes.

Optionally, the step of obtaining the mutual information analysis condition from the obtained monitoring staged content set and the preconfigured plurality of intelligent threads comprises: determining a quantitative index of each business event of the office equipment through the monitoring periodic content set, the periodic intelligent thread and the updated importance index; and obtaining the mutual information analysis condition by fusing the quantitative indexes of each business event.

Optionally, the step of obtaining the mutual information analysis condition by fusing the quantitative indicators of each service event includes: and fusing the quantitative indexes of each service event in a splicing mode to obtain the mutual information analysis condition.

Optionally, the step of obtaining the monitoring-stage content set from the obtained information set to be processed includes: for each business event matched to the selected staged intelligent thread, extracting a set of monitoring staged content from the set of pending information obtained from the number of office equipment monitoring records as the set of monitoring staged content obtained therefor.

The application also provides an interactive information analysis 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.

Acquiring a to-be-processed information set from a plurality of office equipment monitoring records; acquiring a monitoring stage content set from the acquired information set to be processed; and obtaining interaction information analysis conditions through the obtained monitoring stage content set and a plurality of intelligent threads which are pre-configured, wherein different intelligent threads in the plurality of intelligent threads mine key descriptions of different stages of the office equipment, and the plurality of intelligent threads are marked through the following steps: determining quantitative indexes of each business event of the office equipment through a plurality of pre-trained periodic intelligent threads; the determined quantization indexes are transmitted into a classifier to obtain matched importance indexes matched with the quantization indexes; respectively determining the quantitative indexes of each business event of the office equipment and the quality expression of the importance indexes matched with the quantitative indexes; and tagging the smart thread according to the quality expression. Therefore, the appropriate intelligent thread can be selected to perform big data analysis processing of intelligent office, and accurate and reliable interactive information analysis conditions can be obtained.

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 analysis method for office equipment interaction according to an embodiment of the present application.

Fig. 2 is a schematic hardware structure diagram of an interaction information analysis 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 analysis method for office equipment interaction, which is applied to an interaction information analysis server, and further, the method may specifically include the contents recorded in steps S11 and S12.

S11, obtaining the information set to be processed from the monitoring records of the office equipment.

S12, obtaining a monitoring stage content set from the obtained information set to be processed; and obtaining interaction information analysis conditions through the obtained monitoring stage content set and a plurality of intelligent threads which are pre-configured, wherein different intelligent threads in the plurality of intelligent threads mine key descriptions of different stages of office equipment, and the plurality of intelligent threads are marked through the following steps: determining the quantitative index of each business event of the office equipment through a plurality of preconfigured staged intelligent threads; the determined quantization indexes are transmitted into a classifier to obtain matched importance indexes matched with the quantization indexes; respectively determining the quantitative indexes of each business event of the office equipment and the quality expression of the importance indexes matched with the quantitative indexes; and tagging the intelligent thread according to the quality expression.

In an embodiment, the step of recording to mark the intelligent thread according to the quality expression may specifically include: and marking a plurality of stage intelligent threads with larger quality expression as the intelligent threads.

In an embodiment, on the basis of the recorded content, the method specifically includes: and transmitting the quantitative indexes determined by the marked stage intelligent threads into the classifier again to update the importance indexes.

In an embodiment, the step of obtaining the mutual information analysis condition from the obtained monitoring staged content set and the preconfigured plurality of intelligent threads recorded in S12 may specifically include the following steps: determining a quantitative index of each business event of the office equipment through the monitoring periodic content set, the periodic intelligent thread and the updated importance index; and obtaining the mutual information analysis condition by fusing the quantitative indexes of each business event.

Further, in an embodiment, the step of obtaining the mutual information analysis condition by fusing the quantitative indicators of each service event may specifically include: and fusing the quantitative indexes of each service event in a splicing mode to obtain the mutual information analysis condition.

In an embodiment, the step of obtaining the monitoring phasic content set from the obtained to-be-processed information set recorded in S12 may specifically include: for each business event matched to the selected staged intelligent thread, extracting a set of monitoring staged content from the set of pending information obtained from the number of office equipment monitoring records as the set of monitoring staged content obtained therefor.

Obtaining a set of information to be processed from a plurality of office equipment monitoring records by performing the above S11 and S12; acquiring a monitoring stage content set from the acquired information set to be processed; and obtaining interaction information analysis conditions through the obtained monitoring stage content set and a plurality of intelligent threads which are pre-configured, wherein different intelligent threads in the plurality of intelligent threads mine key descriptions of different stages of the office equipment, and the plurality of intelligent threads are marked through the following steps: determining quantitative indexes of each business event of the office equipment through a plurality of pre-trained periodic intelligent threads; the determined quantization indexes are transmitted into a classifier to obtain matched importance indexes matched with the quantization indexes; respectively determining the quantitative indexes of each business event of the office equipment and the quality expression of the importance indexes matched with the quantitative indexes; and tagging the smart thread according to the quality expression. Therefore, the appropriate intelligent thread can be selected to perform big data analysis processing of intelligent office, and accurate and reliable interactive information analysis conditions can be obtained.

On the basis of the above content, the present application further provides an information analysis device for office equipment interaction, which may specifically include the following functional modules:

and the information acquisition module is used for acquiring the information set to be processed from the monitoring records of the office equipment.

The information analysis module is used for acquiring a monitoring stage content set from the acquired information set to be processed; and obtaining interaction information analysis conditions through the obtained monitoring stage content set and a plurality of intelligent threads which are pre-configured, wherein different intelligent threads in the plurality of intelligent threads mine key descriptions of different stages of office equipment, and the plurality of intelligent threads are marked through the following steps: determining a quantitative index of each business event of the office equipment through a plurality of pre-trained periodic intelligent threads; the determined quantization indexes are transmitted into a classifier to obtain matched importance indexes matched with the quantization indexes; respectively determining the quantitative indexes of each business event of the office equipment and the quality expression of the importance indexes matched with the quantitative indexes; and tagging the intelligent thread according to the quality expression.

On the basis, please refer to fig. 2 in combination, the present application further provides a schematic diagram of a hardware structure of the interactive information analysis server 20, which specifically includes a memory 21, a processor 22, a network module 23 and an interactive information analysis apparatus of office equipment. 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 office equipment interaction information analysis devices, the office equipment interaction information analysis devices comprise at least one software functional module which can be stored in the memory 21 in the form of software or firmware (firmware), and the processor 22 executes software programs and modules 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 mutual information analysis server 20 and other communication terminal devices through a network, so as to implement the transceiving operation 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 (7)

1. An information analysis method for office equipment interaction is characterized by comprising the following steps:

acquiring a to-be-processed information set from a plurality of office equipment monitoring records;

acquiring a monitoring stage content set from the acquired information set to be processed; and obtaining interaction information analysis conditions through the obtained monitoring stage content set and a plurality of intelligent threads which are pre-configured, wherein different intelligent threads in the plurality of intelligent threads mine key descriptions of different stages of office equipment, and the plurality of intelligent threads are marked through the following steps: determining a quantitative index of each business event of the office equipment through a plurality of pre-trained periodic intelligent threads; the determined quantization indexes are transmitted into a classifier to obtain matched importance indexes matched with the quantization indexes; respectively determining the quantitative indexes of each business event of the office equipment and the quality expression of the importance indexes matched with the quantitative indexes; and tagging the intelligent thread according to the quality expression.

2. The method of claim 1, wherein marking the smart thread according to the quality expression comprises: and marking a plurality of stage intelligent threads with larger quality expression as the intelligent threads.

3. The method of claim 2, further comprising: and transmitting the quantitative indexes determined by the marked stage intelligent threads into the classifier again to update the importance indexes.

4. The method of claim 3, wherein the step of obtaining interaction information analysis conditions from the obtained set of monitoring staged content and the preconfigured number of intelligent threads comprises: determining a quantitative index of each business event of the office equipment through the monitoring periodic content set, the periodic intelligent thread and the updated importance index; and obtaining the mutual information analysis condition by fusing the quantitative indexes of each business event.

5. The method of claim 4, wherein the step of obtaining the mutual information analysis condition by fusing the quantitative indicators of each service event comprises: and fusing the quantitative indexes of each service event in a splicing mode to obtain the mutual information analysis condition.

6. The method of any one of claims 1 to 5, wherein the step of obtaining a set of monitoring phasic content from the obtained set of information to be processed comprises: for each business event matched to the selected staged intelligent thread, extracting a set of monitoring staged content from the set of pending information obtained from the number of office equipment monitoring records as the set of monitoring staged content obtained therefor.

7. The mutual information analysis server is characterized by 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 1-6 by reading the computer program from the memory and running it.

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