CN111355635A - Online detection method and detection system for product performance of Internet of things - Google Patents

Online detection method and detection system for product performance of Internet of things Download PDF

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CN111355635A
CN111355635A CN202010107022.3A CN202010107022A CN111355635A CN 111355635 A CN111355635 A CN 111355635A CN 202010107022 A CN202010107022 A CN 202010107022A CN 111355635 A CN111355635 A CN 111355635A
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performance
internet
things
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CN111355635B (en
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屈琪辉
温小斌
温强
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Ningbo Haida Iot Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/04—Processing captured monitoring data, e.g. for logfile generation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters

Abstract

The invention discloses an online detection method of the performance of products of the Internet of things, which is characterized in that the performance data to be detected of different products of the Internet of things are converted into corresponding universal code data through a data cleaning module, the universal code data are transmitted to a data receiving module through a communication module and then are converted into corresponding standard code data through a data conversion module, and the online detection module is compared with a preset data qualified range, so that whether the detection result is qualified or not is obtained, and meanwhile, a detection system used by the online detection method is disclosed; the method has the advantages that the method can be used for detecting the batch performance of different types of Internet of things products, and is high in detection efficiency and low in cost.

Description

Online detection method and detection system for product performance of Internet of things
Technical Field
The invention relates to a product performance detection method and a product performance detection system, in particular to an internet of things product performance online detection method and an internet of things product performance online detection system.
Background
At present, most manufacturers of internet of things products only adopt a detection mode of traditional products to detect the internet of things products, and because the data volume of the internet of things products is far greater than that of the traditional products, the traditional monitoring mode cannot be used for complete monitoring, and the detection efficiency is low, wherein the data volume of the objects refers to the total amount of data generated in the using process and comprises attributes, data in operation, detection data and the like, the quality of the produced internet of things products cannot be guaranteed; some manufacturers adopt customized test tools, have single functions, only support a plurality of models of specific types of products, and have low reuse rate; performance detection tools of different types of Internet of things products need to be repeatedly developed, and the overall production cost of an enterprise is increased.
Disclosure of Invention
The invention aims to provide an online detection method and a detection system for the performance of Internet of things products, which can detect the batch performance of different Internet of things products, and have the advantages of high detection efficiency and low cost.
The technical scheme adopted by the invention for solving the technical problems is as follows: an online detection method for product performance of the Internet of things comprises the following steps:
Figure 687974DEST_PATH_IMAGE001
the method comprises the steps that a data acquisition module, a data cleaning module, a communication module, a data receiving module, a data conversion module, an online detection module and a storage module are arranged, detection personnel preset the type of data to be detected corresponding to performance data to be detected in the data conversion module, and preset the data qualification range corresponding to the performance data to be detected in the online detection module;
Figure 279230DEST_PATH_IMAGE002
the data acquisition module acquires performance data to be tested of an Internet of things product to be tested and sends the performance data to the data cleaning module, and the data cleaning module converts the received performance data to be tested into corresponding universal code data and sends the data to the data receiving module through the communication module;
Figure 282958DEST_PATH_IMAGE003
the data receiving module sends the received general code data to the data conversion module, and the data conversion module converts the received general code data into standard code data corresponding to the data type according to the preset data type to be detected and sends the standard code data to the online detection module;
Figure 802932DEST_PATH_IMAGE004
the online detection module compares the value of the received standard code data with a preset data qualified range, when the value of the standard code data is within the preset data qualified range, the detection result of the performance data to be detected of the product of the Internet of things to be detected is qualified, and when the value of the standard code data does not fall within the preset data qualified range, the detection result of the performance data to be detected of the product of the Internet of things to be detected is unqualified;
Figure 259321DEST_PATH_IMAGE005
and the online detection module stores the standard code data and the detection result into the storage module.
The steps are
Figure 624575DEST_PATH_IMAGE002
The data cleaning module extracts and translates the received performance data to be tested into JSON format general code data, and the communication module adopts MQTT protocol for data transmission. The data cleaning module extracts and translates the received performance data to be detected into JSON format universal code data, which is beneficial to carrying out data processing on attribute data of different formats of different Internet of things products, ensures the consistency of data formats uploaded to the data receiving module by the communication module, is convenient for subsequent standardized conversion to carry out detection judgment, and a client does not need to develop a server and a detection tool again after adopting the detection method, thereby effectively reducing the cost; the MQTT communication protocol is a lightweight and simple message publishing/subscribing transmission protocol, has wide applicability, still can have higher accuracy under a plurality of limited conditions, is designed and supported to be a large number of devices with limited computing capability, working at low bandwidth and unreliable network, and meets the requirements of the working and production environments of products of the Internet of things.
The steps are
Figure 951651DEST_PATH_IMAGE003
The standard code data is key value pair data. The data conversion module checks the corresponding data types of the healthy value data according to the value of the healthy value data and the preset data type to be detected corresponding to the performance data to be detected, judges whether the data types are the same or not, and is convenient for detecting the performance of different products of the internet of things.
The detection system used in the online detection method of the product performance of the Internet of things comprises a data acquisition module, a data cleaning module, a communication module, a data receiving module, a data conversion module, an online detection module and a storage module,
the data conversion module is preset with a to-be-tested data type corresponding to the to-be-tested performance data, the on-line detection module is preset with a data qualified range corresponding to the to-be-tested performance data,
the data acquisition module is used for acquiring performance data to be tested of the product of the Internet of things to be tested and sending the performance data to the data cleaning module,
the data cleaning module is used for converting the received performance data to be tested into corresponding universal code data and then sending the data to the data receiving module through the communication module,
the data receiving module is used for sending the received universal code data to the data conversion module,
the data conversion module converts the received general code data into standard code data corresponding to the data type according to the preset data type to be detected and sends the standard code data to the online detection module,
the online detection module compares the received standard code data value with a preset data qualified range to obtain a detection result,
the storage module is used for storing standard code data and detection results.
Compared with the prior art, the method has the advantages that the performance data to be detected of different products of the Internet of things are converted into corresponding universal code data through the data cleaning module, the universal code data are transmitted to the data receiving module through the communication module and then converted into corresponding standard code data through the data conversion module, and the online detection module is compared with the preset data qualified range, so that whether the detection result is qualified or not is obtained.
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FIG. 1 is a schematic flow chart of a first embodiment;
fig. 2 is a system block diagram of the second embodiment.
Detailed Description
The invention is described in further detail below with reference to the accompanying examples.
The first embodiment is as follows: an online detection method for product performance of the Internet of things comprises the following steps:
Figure 704843DEST_PATH_IMAGE001
the method comprises the steps that a data acquisition module 1, a data cleaning module 2, a communication module 3, a data receiving module 4, a data conversion module 5, an online detection module 6 and a storage module 7 are arranged, a detection person presets a to-be-detected data type corresponding to-be-detected performance data in the data conversion module 5, and presets a data qualified range corresponding to the to-be-detected performance data in the online detection module 6.
Figure 756851DEST_PATH_IMAGE002
The data acquisition module 1 acquires performance data to be tested of an Internet of things product 8 to be tested and sends the performance data to the data cleaning module 2, and the data cleaning module 2 converts the received performance data to be tested into corresponding universal code data and sends the data to the data receiving module 4 through the communication module 3; the data cleaning module 2 extracts and translates the received performance data to be tested into JSON format general code data, and the communication module 3 adopts MQTT protocol to transmit data.
Figure 50429DEST_PATH_IMAGE003
The data receiving module 4 will receive the universal code numberAnd the data conversion module 5 converts the received general code data into standard code data corresponding to the data type according to the preset data type to be detected and sends the standard code data to the online detection module 6, wherein the standard code data are key value pair data.
Figure 763170DEST_PATH_IMAGE004
The online detection module 6 compares the value of the received standard code data with a preset data qualified range, when the value of the standard code data is within the preset data qualified range, the detection result of the to-be-detected performance data of the to-be-detected internet-of-things product 8 is qualified, and when the value of the standard code data does not fall within the preset data qualified range, the detection result of the to-be-detected performance data of the to-be-detected internet-of-things product 8 is unqualified.
The online detection module 6 stores the standard code data and the detection result into the storage module 7.
Wherein the steps
Figure 259190DEST_PATH_IMAGE001
The preset type of the data to be tested corresponding to the performance data to be tested and the data qualified range corresponding to the performance data to be tested are as follows:
the first embodiment is as follows: the production process of the water purifier needs to detect the service life index of the filter element, and the qualified range of the data of the index is as follows: more than or equal to 98 percent and less than or equal to 100 percent, and the type of the adopted data to be detected is an integer type.
Example two: the production process of the communication module 3 needs to detect the low-voltage power supply voltage index, and the data qualified range of the index is as follows: more than or equal to 3.6v and less than or equal to 4.0v, and the type of the adopted data to be detected is a floating point type.
Example three: the production process of the refrigeration equipment needs to detect a stable working temperature index, and the data qualified range of the index is as follows: and the temperature is more than or equal to minus 1 ℃ and less than or equal to 1 ℃, and the type of the adopted data to be detected is an integer type.
Example two: the detection system used in the on-line detection method in the embodiment one comprises a data acquisition module 1, a data cleaning module 2, a communication module 3, a data receiving module 4, a data conversion module 5, an on-line detection module 6 and a storage module 7, wherein a to-be-detected data type corresponding to-be-detected performance data is preset in the data conversion module 5, a data qualified range corresponding to-be-detected performance data is preset in the on-line detection module 6, the data acquisition module 1 is used for acquiring the to-be-detected performance data of an internet of things product 8 to be detected and sending the to-be-detected performance data to the data cleaning module 2, the data cleaning module 2 is used for converting the received to-be-detected performance data into corresponding general code data and then sending the general code data to the data receiving module 4 through the communication module 3, the data receiving module 4 is used for sending the received general code data to the data conversion module The standard code data corresponding to the type is sent to the online detection module 6, the online detection module 6 compares the value of the received standard code data with a preset data qualified range to obtain a detection result, and the storage module 7 is used for storing the standard code data and the detection result.

Claims (4)

1. An online detection method for product performance of the Internet of things is characterized by comprising the following steps:
Figure DEST_PATH_IMAGE001
the method comprises the steps that a data acquisition module, a data cleaning module, a communication module, a data receiving module, a data conversion module, an online detection module and a storage module are arranged, detection personnel preset the type of data to be detected corresponding to performance data to be detected in the data conversion module, and preset the data qualification range corresponding to the performance data to be detected in the online detection module;
Figure 682812DEST_PATH_IMAGE002
the data acquisition module acquires performance data to be tested of an Internet of things product to be tested and sends the performance data to the data cleaning module, and the data cleaning module converts the received performance data to be tested into corresponding universal code data and sends the data to the data receiving module through the communication module;
Figure DEST_PATH_IMAGE003
the data receiving module sends the received general code data to the data conversion module, and the data conversion module converts the received general code data into standard code data corresponding to the data type according to the preset data type to be detected and sends the standard code data to the online detection module;
Figure 923301DEST_PATH_IMAGE004
the online detection module compares the value of the received standard code data with a preset data qualified range, when the value of the standard code data is within the preset data qualified range, the detection result of the performance data to be detected of the product of the Internet of things to be detected is qualified, and when the value of the standard code data does not fall within the preset data qualified range, the detection result of the performance data to be detected of the product of the Internet of things to be detected is unqualified;
Figure DEST_PATH_IMAGE005
and the online detection module stores the standard code data and the detection result into the storage module.
2. The method for the online detection of the product performance of the Internet of things as claimed in claim 1, wherein the steps are as follows
Figure 608360DEST_PATH_IMAGE002
The data cleaning module extracts and translates the received performance data to be tested into JSON format general code data, and the communication module adopts MQTT protocol for data transmission.
3. The method for the online detection of the product performance of the Internet of things as claimed in claim 2, wherein the steps are as follows
Figure 225286DEST_PATH_IMAGE003
The standard code data is key value pair data.
4. The detection system used in the online detection method of the product performance of the Internet of things according to claim 1, characterized by comprising a data acquisition module, a data cleaning module, a communication module, a data receiving module, a data conversion module, an online detection module and a storage module,
the data conversion module is preset with a to-be-tested data type corresponding to the to-be-tested performance data, the on-line detection module is preset with a data qualified range corresponding to the to-be-tested performance data,
the data acquisition module is used for acquiring performance data to be tested of the product of the Internet of things to be tested and sending the performance data to the data cleaning module,
the data cleaning module is used for converting the received performance data to be tested into corresponding universal code data and then sending the data to the data receiving module through the communication module,
the data receiving module is used for sending the received universal code data to the data conversion module,
the data conversion module converts the received general code data into standard code data corresponding to the data type according to the preset data type to be detected and sends the standard code data to the online detection module,
the online detection module compares the received standard code data value with a preset data qualified range to obtain a detection result,
the storage module is used for storing standard code data and detection results.
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