CN114169455A - Method and system for fusing sensing information - Google Patents

Method and system for fusing sensing information Download PDF

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CN114169455A
CN114169455A CN202111514041.9A CN202111514041A CN114169455A CN 114169455 A CN114169455 A CN 114169455A CN 202111514041 A CN202111514041 A CN 202111514041A CN 114169455 A CN114169455 A CN 114169455A
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information
service
description
scene
intention
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王斌
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Shanghai DC Science Co Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques

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Abstract

The application discloses a method and a system for fusing sensing information, wherein in specific application, whether operation habit descriptions of a service object meet set operation habit constraints or not is judged by judging whether the service scene is in an information defect state or not, whether intention descriptions of the service object are in set judgment indexes or not is judged, and whether information fusion errors exist in the service object or not is accurately determined by judging results of the service scene, identifying and judging results and habit characteristic judging results, so that the sensing information is fused according to a set fusion strategy on the premise that the information fusion errors exist in the service object, and the accuracy and the reliability of the sensing information fusion can be ensured.

Description

Method and system for fusing sensing information
Technical Field
The present application relates to the field of sensor information processing technologies, and in particular, to a method and a system for sensor information fusion.
Background
The sensor is a detection device which can sense the measured information and convert the sensed information into electric signals or other information in required forms according to a certain rule to output, so as to meet the requirements of information transmission, processing, storage, display, record, control and the like. The sensor features include: miniaturization, digitization, intelligence, multiple functionalization, systematization and networking. The sensor is the first link for realizing automatic detection and automatic control, the application field of the sensor is very wide, however, in the practical application process, the inventor finds that the sensing information needs to be fused in some scenes, but the related sensing information fusion technology has the problems of low accuracy and reliability.
Disclosure of Invention
In order to solve the technical problems in the related art, the application provides a method and a system for sensing information fusion.
The application provides a sensing information fusion method, which is applied to a sensing information fusion system and comprises the following steps:
determining sensing information, and determining quality analysis information through the sensing information, wherein the quality analysis information covers service scene description, operation habit description of a service object and intention identification information; the service scene is matched with the service object and the sensing terminal, and the service scene description aims at expressing the complete evaluation of the information of the current service scene;
judging whether the service scene is in an information defect state or not through the service scene description to obtain a service scene judgment result, judging whether the operation habit description of the service object meets set operation habit constraints or not to obtain a habit characteristic judgment result, and judging whether the intention description of the service object is in a set judgment index or not through the intention identification information to obtain an identification judgment result; judging whether the service object has information fusion errors or not according to the identification judgment result, the habit characteristic judgment result and the service scene judgment result; and fusing the sensing information according to a set fusion strategy on the premise of judging that the information fusion error exists in the service object.
An independently implementable technical solution, wherein the determining whether the intention description of the business object is within a set determination index by the intention identification information to obtain an identification determination result includes:
determining the distribution situation corresponding to the intention description of the business object through the intention identification information;
the intent identification information includes a distribution tag of the business object intent description, the intent description including at least one of a positive intent, a negative intent, and a neutral intent;
determining quantitative evaluation of a matching result of the distribution situation and the set judgment index, and judging whether the quantitative evaluation of the matching result is greater than a set quantitative evaluation threshold value;
and if the quantitative evaluation of the matching result is greater than the set quantitative evaluation threshold value, determining that the identification judgment result is that the intention of the business object is described in the set judgment index.
An independently implementable technical solution, where the determining whether the service scenario is in an information-deficient state through the service scenario description, and obtaining a service scenario determination result includes:
judging whether the service scene has errors or missing description according to the service scene description;
and if the service scene has errors or missing description, determining that the service scene judgment result is that the service scene is in an information deficiency state.
An independently implementable technical solution, the determining whether the service object has an information fusion error according to the recognition determination result, the habit characteristic determination result, and the service scene determination result includes:
if the intention description of the business object is in a set judgment index, or the operation habit description of the business object does not meet a set operation habit constraint, or the business scene is in an information deficiency state, judging that the business object has information fusion error;
and if the intention description of the business object is not in the set judgment index, the operation habit description of the business object meets the set operation habit constraint, and the business scene is in normal description, judging that no information fusion error exists in the business object.
After determining whether the service object has an information fusion error according to the identification determination result, the habit feature determination result, and the service scene determination result, the method further includes:
and if the business object has information fusion errors, outputting a prompt, determining information fusion error information, and uploading the information fusion error information to a cloud server, wherein the information fusion error information comprises the activation time of the information fusion error information and corresponding ineffective sensing information.
The application also provides a sensing information fusion system, 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 present application also provides a computer-readable storage medium having stored thereon a computer program which, when run, implements the above-described method.
The technical scheme provided by the embodiment of the application can have the following beneficial effects.
According to the method and the system for fusing the sensing information, the sensing information is determined, the quality analysis information is determined through the sensing information, and the quality analysis information covers the service scene description, the operation habit description of the service object and the intention identification information; the service scene is matched between the service object and the sensing terminal, and the service scene description aims at expressing the complete evaluation of the information of the current service scene; judging whether the service scene is in an information defect state or not through the service scene description to obtain a service scene judgment result, judging whether the operation habit description of the service object meets set operation habit constraints or not to obtain a habit characteristic judgment result, and judging whether the intention description of the service object is in a set judgment index or not through intention identification information to obtain an identification judgment result; and judging whether the information fusion error exists in the service object or not according to the identification judgment result, the habit characteristic judgment result and the service scene judgment result. The method and the device judge whether the operation habit description of the business object meets the set operation habit constraint or not by judging whether the business scene is in an information defect state or not, judge whether the intention description of the business object is in the set judgment index or not, and accurately determine whether the business object has information fusion errors or not through the business scene judgment result, the recognition judgment result and the habit feature judgment result, so that the sensing information is fused according to the set fusion strategy on the premise that the business object has the information fusion errors, and the accuracy and the reliability of the sensing information fusion can be ensured.
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 a method for searching a web document for a keyword according to an embodiment of the present application.
Fig. 2 is a schematic hardware structure diagram of a sensing information fusion system provided in 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 method for sensing information fusion, which is applied to a sensing information fusion system, and the method may include the following steps 11 and 12.
Step 11, determining sensing information, and determining quality analysis information through the sensing information, wherein the quality analysis information covers service scene description, operation habit description of a service object and intention identification information; the service scene is matched with the service object and the sensing terminal, and the service scene description aims at expressing the complete evaluation of the information of the current service scene.
Step 12, judging whether the service scene is in an information defect state or not through the service scene description to obtain a service scene judgment result, judging whether the operation habit description of the service object meets set operation habit constraints or not to obtain a habit characteristic judgment result, and judging whether the intention description of the service object is in a set judgment index or not through the intention identification information to obtain an identification judgment result; judging whether the service object has information fusion errors or not according to the identification judgment result, the habit characteristic judgment result and the service scene judgment result; and fusing the sensing information according to a set fusion strategy on the premise of judging that the information fusion error exists in the service object.
In an exemplary embodiment, the intention description of the business object is judged whether or not within the set judgment index by the intention identification information recorded in the step 12, and the obtained identification judgment result can be specifically explained as follows.
And step 121, determining the distribution situation corresponding to the intention description of the business object through the intention identification information. The intent identification information includes a distribution tag of the business object intent description that includes at least one of a positive intent, a negative intent, and a neutral intent.
Step 123, determining the quantitative evaluation of the matching result of the distribution situation and the set judgment index, and judging whether the quantitative evaluation of the matching result is greater than a set quantitative evaluation threshold value; and if the quantitative evaluation of the matching result is greater than the set quantitative evaluation threshold value, determining that the identification judgment result is that the intention of the business object is described in the set judgment index.
Through the content recorded in the steps 121 to 123, the distribution situation corresponding to the intention description of the business object is judged, and the identification judgment result is further determined in a targeted manner, so that the situation that the judgment result is inaccurate due to general judgment can be avoided.
In an exemplary embodiment, the determining, according to the description of the service scenario recorded in step 12, whether the service scenario is in an information-deficient state or not, to obtain a service scenario determination result may specifically be described as follows: judging whether the service scene has errors or missing description according to the service scene description; and if the service scene has errors or missing description, determining that the service scene judgment result is that the service scene is in an information deficiency state. Therefore, whether the service scene has errors or missing description is judged through the service scene description, and the reliability of the obtained service scene in the information defect state can be ensured.
In an exemplary embodiment, the determining whether the service object has an information fusion error according to the identification determination result, the habit characteristic determination result, and the service scenario determination result recorded in the step 12 may specifically include the following: if the intention description of the business object is in a set judgment index, or the operation habit description of the business object does not meet a set operation habit constraint, or the business scene is in an information deficiency state, judging that the business object has information fusion error; and if the intention description of the business object is not in the set judgment index, the operation habit description of the business object meets the set operation habit constraint, and the business scene is in normal description, judging that no information fusion error exists in the business object. Therefore, the business object can be comprehensively analyzed through the identification judgment result, the habit characteristic judgment result and the business scene judgment result, so that whether the business object has information fusion errors or not can be accurately judged.
Further, after the determining whether the service object has the information fusion error according to the identification determination result, the habit characteristic determination result, and the service scene determination result, the method may further include: and if the business object has information fusion errors, outputting a prompt, determining information fusion error information, and uploading the information fusion error information to a cloud server, wherein the information fusion error information comprises the activation time of the information fusion error information and corresponding ineffective sensing information. This can thus facilitate subsequent reference.
In summary, by determining the sensing information and determining the quality analysis information through the sensing information, the quality analysis information covers the service scene description, the operation habit description of the service object, and the intention identification information; the service scene is matched between the service object and the sensing terminal, and the service scene description aims at expressing the complete evaluation of the information of the current service scene; judging whether the service scene is in an information defect state or not through the service scene description to obtain a service scene judgment result, judging whether the operation habit description of the service object meets set operation habit constraints or not to obtain a habit characteristic judgment result, and judging whether the intention description of the service object is in a set judgment index or not through intention identification information to obtain an identification judgment result; and judging whether the information fusion error exists in the service object or not according to the identification judgment result, the habit characteristic judgment result and the service scene judgment result. The method and the device judge whether the operation habit description of the business object meets the set operation habit constraint or not by judging whether the business scene is in an information defect state or not, judge whether the intention description of the business object is in the set judgment index or not, and accurately determine whether the business object has information fusion errors or not through the business scene judgment result, the recognition judgment result and the habit feature judgment result, so that the sensing information is fused according to the set fusion strategy on the premise that the business object has the information fusion errors, and the accuracy and the reliability of the sensing information fusion can be ensured.
On the basis of the above, the present application further provides a device for sensing information fusion, which specifically includes the following functional modules:
the information determining module is used for determining sensing information and determining quality analysis information through the sensing information, wherein the quality analysis information covers service scene description, operation habit description of a service object and intention identification information; the service scene is matched with the service object and the sensing terminal, and the service scene description aims at expressing the complete evaluation of the information of the current service scene;
the scene judging module is used for judging whether the business scene is in an information defect state or not through the business scene description to obtain a business scene judging result, judging whether the operation habit description of the business object meets set operation habit constraints or not to obtain a habit characteristic judging result, and judging whether the intention description of the business object is in a set judging index or not through the intention identifying information to obtain an identifying judging result; judging whether the service object has information fusion errors or not according to the identification judgment result, the habit characteristic judgment result and the service scene judgment result; and fusing the sensing information according to a set fusion strategy on the premise of judging that the information fusion error exists in the service object.
On the basis, please refer to fig. 2 in combination, the present application further provides a schematic diagram of a hardware structure of the sensing information fusion system 20, which specifically includes a memory 21, a processor 22, a network module 23, and a sensing information fusion device. 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 a sensing information fusion device, which includes at least one software functional module that 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 sensing information fusion system 20 and other communication terminal devices through a network, so as to implement 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. A sensing information fusion method is applied to a sensing information fusion system, and comprises the following steps:
determining sensing information, and determining quality analysis information through the sensing information, wherein the quality analysis information covers service scene description, operation habit description of a service object and intention identification information; the service scene is matched with the service object and the sensing terminal, and the service scene description aims at expressing the complete evaluation of the information of the current service scene;
judging whether the service scene is in an information defect state or not through the service scene description to obtain a service scene judgment result, judging whether the operation habit description of the service object meets set operation habit constraints or not to obtain a habit characteristic judgment result, and judging whether the intention description of the service object is in a set judgment index or not through the intention identification information to obtain an identification judgment result; judging whether the service object has information fusion errors or not according to the identification judgment result, the habit characteristic judgment result and the service scene judgment result; and fusing the sensing information according to a set fusion strategy on the premise of judging that the information fusion error exists in the service object.
2. The method according to claim 1, wherein the determining whether the intention description of the business object is within a set determination index by the intention identification information, and obtaining an identification determination result comprises:
determining the distribution situation corresponding to the intention description of the business object through the intention identification information;
the intent identification information includes a distribution tag of the business object intent description, the intent description including at least one of a positive intent, a negative intent, and a neutral intent;
determining quantitative evaluation of a matching result of the distribution situation and the set judgment index, and judging whether the quantitative evaluation of the matching result is greater than a set quantitative evaluation threshold value;
and if the quantitative evaluation of the matching result is greater than the set quantitative evaluation threshold value, determining that the identification judgment result is that the intention of the business object is described in the set judgment index.
3. The method of claim 1, wherein the determining whether the service scenario is in an information-deficient state according to the service scenario description, and obtaining a service scenario determination result comprises:
judging whether the service scene has errors or missing description according to the service scene description;
and if the service scene has errors or missing description, determining that the service scene judgment result is that the service scene is in an information deficiency state.
4. The method of claim 1, wherein the determining whether the service object has an information fusion error according to the recognition determination result, the habit feature determination result and the service scenario determination result comprises:
if the intention description of the business object is in a set judgment index, or the operation habit description of the business object does not meet a set operation habit constraint, or the business scene is in an information deficiency state, judging that the business object has information fusion error;
and if the intention description of the business object is not in the set judgment index, the operation habit description of the business object meets the set operation habit constraint, and the business scene is in normal description, judging that no information fusion error exists in the business object.
5. The method according to claim 1, wherein after said determining whether there is an information fusion error in the service object according to the recognition determination result, the habit feature determination result, and the service scenario determination result, the method further comprises:
and if the business object has information fusion errors, outputting a prompt, determining information fusion error information, and uploading the information fusion error information to a cloud server, wherein the information fusion error information comprises the activation time of the information fusion error information and corresponding ineffective sensing information.
6. The sensing information fusion system 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 1-5 by reading the computer program from the memory and running it.
7. A computer-readable storage medium, on which a computer program is stored which, when executed, implements the method of any of claims 1-5.
CN202111514041.9A 2021-12-13 2021-12-13 Method and system for fusing sensing information Pending CN114169455A (en)

Priority Applications (1)

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CN202111514041.9A CN114169455A (en) 2021-12-13 2021-12-13 Method and system for fusing sensing information

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Application Number Priority Date Filing Date Title
CN202111514041.9A CN114169455A (en) 2021-12-13 2021-12-13 Method and system for fusing sensing information

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CN114169455A true CN114169455A (en) 2022-03-11

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