CN112187928B - Factory-test middleware platform and cross-platform function detection method for Internet of things products - Google Patents
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Abstract
The invention relates to the technology of detecting functions of products of the Internet of things, and discloses a factory-test middleware platform and a cross-platform function detection method of products of the Internet of things, which solve the problem of low product function detection efficiency caused by the diversity and mutual independence of platform access of the Internet of things. According to the invention, the factory test middleware platform is used for acquiring data of different Internet of things platforms and service systems in a read-only mode, and after the data is checked and organized, the data is uniformly transmitted back to the factory test system for function verification. The invention is suitable for cross-platform function test of the products of the Internet of things.
Description
Technical Field
The invention relates to a technology for detecting functions of products of the Internet of things, in particular to a factory-test middleware platform and a cross-platform function detection method of products of the Internet of things.
Background
As a new industry, the Internet of things attracts more and more enterprises to participate, and in order to achieve the purpose of fast accessing to the market, the fast access of a mature Internet of things platform becomes the first choice of the enterprises. Various internet of things platforms have own advantages, so under the current ecological environment of the internet of things, more and more terminal devices are connected to different internet of things platforms according to different protocols, power consumption and product types, even some large enterprises can build own internet of things platforms by themselves, and report various terminal data to the internet of things platforms through southbound interfaces, such as telecommunication NB-IOT internet of things platforms, mobile ONE-NET internet of things platforms, huawei OC internet of things platforms, aliskiu internet of things platforms and self-built internet of things platforms.
However, due to the diversity of the access of the internet of things cloud platform and the mutual independence among the platforms, in the process of function verification, different platforms are often required to check whether the equipment reports data and the accuracy of data reporting. The function checking mode causes that the efficiency of products in the actual function detection process is very low, and even though the internet of things platforms provide northbound interfaces to own service systems, the results are self-evident because the service systems exist independently.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the factory-test middleware platform and the cross-platform function detection method of the Internet of things product are provided, and the problem of low product function detection efficiency caused by the diversity and mutual independence of the Internet of things platform access is solved.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a factory side middleware platform comprising:
the product management module is used for browsing products through a WEB interface and adding, editing and deleting the products;
the Internet of things platform management module is used for browsing the Internet of things platform through a WEB interface and adding, editing and deleting the Internet of things platform;
the service system management module is used for browsing the service system through a WEB interface and adding, editing and deleting the service system;
the Internet of things platform docking module is used for docking with different Internet of things platforms through a northbound HTTP API;
the service system docking module is used for read-only connection to data sources of different service systems through Java programs;
and the data feedback module is used for organizing and verifying the returned data through the product data configuration rule and the verification rule after receiving the equipment data returned by the Internet of things platform or the service system, and finally returning the data to the factory test system in a JSON (JavaScript object notation) mode.
In addition, the invention also provides a cross-platform function detection method of the product of the Internet of things, which is applied to a detection system comprising the factory test middleware platform, and the detection method comprises the following steps:
A. the production plant staff scans the two-dimensional code of the equipment through the two-dimensional code scanning gun;
B. by scanning the two-dimensional code, the factory testing system of the production factory obtains basic information of the equipment;
C. after the factory test system of the production factory obtains basic information of the equipment, a data query request is sent to a factory test middleware platform;
D. the factory test middleware platform queries an Internet of things platform or a service system in which data corresponding to a product exists from the system through data source information of the product corresponding to the equipment;
E. the factory test middleware platform obtains product data from a corresponding Internet of things platform or a corresponding business system according to the keywords of the equipment;
F. and after the factory test middleware platform receives the returned product data, organizing and verifying the returned data according to the product data configuration rule and the verification rule, and finally returning the data to the factory test system of the production factory in a JSON (Java Server object notation) mode.
As a further optimization, the step A also comprises the following steps before:
a0, carrying out related configuration on a factory-side middleware platform, comprising the following steps: and configuring the platform information of the Internet of things, the service system information and the product information to a factory test middleware platform.
As a further optimization, the configuring the platform information of the internet of things includes: the interface address of the platform and the account number accessed by the platform;
the configuring the service system information includes: the service system comprises a service system data source type, a data source connection address, a data source connection port and a data source access account;
the configuration product information includes: product name, product description, product model, and data source for the product.
As a further optimization, in step B, the basic information of the device includes: the model number of the device, the IMEI of the product, the SN of the product, and the MAC information of the product.
The invention has the beneficial effects that:
the efficient factory test scheme for the Internet of things product collapse platform is realized, the middleware acquires equipment data of different Internet of things platforms and service systems in a read-only mode, and then the equipment data are uniformly transmitted back to the factory test system for function verification. Due to the adoption of the unified middleware, the data among various platforms can be smoothly communicated, the differences of data structures of various platforms can be effectively shielded, and finally the data are returned to a factory through a unified data format, so that factory testing personnel can quickly verify the effectiveness of product functions, and the efficiency of factory product inspection is greatly improved.
Drawings
FIG. 1 is a schematic diagram of cross-platform function detection of an Internet of things product in the invention;
fig. 2 is a flowchart of a cross-platform function detection method for internet of things products in the invention.
Detailed Description
To assist a better understanding of the present disclosure, some technical terms that may appear in the present invention are first explained:
the product is as follows: a general name of a certain product type generally includes information such as a product name, a product type, a manufacturing plant, and the like;
equipment: the device belongs to a certain product, an entity of the product;
the device key word: the number which can uniquely represent the existence of the equipment mainly refers to an IMEI number, an SN number or an MAC address;
the Internet of things platform: the system mainly comprises an open Internet of things platform and a free Internet of things platform, such as a telecom NB-IOT Internet of things platform, a mobile ONE-NET Internet of things platform, an OC Internet of things platform, an Ali Internet of things platform and a Changhong Internet of things platform;
a service system: through the system of northbound docking internet of things platform, the general data flow direction is as follows: equipment → platform of internet of things → business system;
a production plant system: a system to track production of products;
a factory measurement intermediate platform: the Internet of things platform and the production plant system are linked to realize integral data intercommunication.
The invention aims to provide a factory-test middleware platform and a cross-platform function detection method of an Internet of things product, and solves the problem of low product function detection efficiency caused by the diversity and mutual independence of the access of the Internet of things platform. In the invention, a factory test middleware platform is used for acquiring data of different Internet of things platforms (such as a telecom NB-IOT Internet of things platform, a mobile ONE-NET Internet of things platform, an OC Internet of things platform, an Aliskian Internet of things platform and a self-built Internet of things platform) and service systems in a read-only mode, and after the data is checked and organized, the data is uniformly returned to the factory test system for function verification, wherein the implementation principle is shown in figure 1; the method avoids the condition that a factory test system needs to look up data to different Internet of things platforms and service systems, and through the application of the middleware platform, data among various platforms can be smoothly communicated, the difference of data structures of various platforms is effectively shielded, and finally the data are returned to a factory through a unified data mode to verify the high-efficiency function, so that the factory test efficiency is greatly improved.
In particular, the factory test middleware platform provided by the invention comprises: the system comprises a product management module, an Internet of things platform management module, a service system management module, an Internet of things platform docking module, a service system docking module and a data feedback module; the parts are introduced as follows:
the product management module is used for browsing products through a WEB interface and adding, editing and deleting the products;
the Internet of things platform management module is used for browsing the Internet of things platform through a WEB interface and adding, editing and deleting the Internet of things platform;
the service system management module is used for browsing the service system through a WEB interface and adding, editing and deleting the service system;
the Internet of things platform docking module is used for docking with different Internet of things platforms through a northbound HTTP API;
the service system docking module is used for read-only connection to data sources of different service systems through Java programs; such as MYSQL, mongoDB, redis, HBase, etc., the benefits of this approach are: on one hand, the data is acquired in a read-only mode, the data of the service system cannot be modified, and the safety of the data of the service system is ensured; on the other hand, the data source is directly obtained from the database without any development work in the service system, zero intrusion of the service system is realized, and the expansibility of the system is greatly improved.
And the data feedback module is used for organizing and verifying the returned data through the product data configuration rule and the verification rule after receiving the equipment data returned by the Internet of things platform or the service system, and finally returning the data to the factory testing system in a JSON (Java Server open) mode. Based on the related rule content configured in advance, the function realization of the module can coordinate a production plant software system to formulate a data format and a verification rule, such as working condition data, SOS alarm data and the like, and define a verification method of each data KEY and VALUE, such as the time range of the working condition data, the VALUE of the working condition state, the time range of the SOS data and the like.
Based on above-mentioned middleware platform is surveyed to factory, we will carry out thing networking product cross-platform function detection and need survey middleware platform at factory at first and carry out relevant configuration, include: the method comprises the following steps of (1) configuring platform information and service system information of the Internet of things: configuring information mainly contained in the Internet of things platform, wherein the information comprises an interface address of the platform and an account number accessed by the platform; configuring main information of a service system, wherein the main information comprises a service system data source type, a data source connection address, a data source connection port and a data source access account; (2) Configuring product information to a factory testing intermediate platform, wherein the product mainly comprises the following information: the product name, the product description, the product model and the data source of the product (corresponding to the internet of things platform or the business system).
The flow of the cross-platform function detection method of the internet of things product is shown in fig. 2, and the method comprises the following steps:
A. the production plant staff scans the two-dimensional code of the equipment through the two-dimensional code scanning gun;
B. through scanning the two-dimensional code, the manufacturing plant surveys the basic information that the system obtained equipment, if: information such as the model of the equipment, the IMEI of the product, the SN of the product, the MAC of the product and the like;
C. after the factory test system of the production factory obtains basic information of the equipment, a data query request is sent to a factory test middleware platform;
D. the factory test middleware platform queries an Internet of things platform or a service system in which data corresponding to a product exists from the system through data source information of the product corresponding to the equipment;
E. the factory test middleware platform obtains product data, such as working condition data and SOS alarm data, from a corresponding Internet of things platform or a service system according to keywords of equipment, such as IMEI, SN or MAC;
F. and after the factory test middleware platform receives the returned product data, organizing and verifying the returned data according to the product data configuration rule and the verification rule, and finally returning the data to the factory test system of the production factory in a JSON (Java Server object notation) mode.
The approximate data format is as follows:
{
network: reporting time and whether the data are valid;
word _ status is whether the status, data is valid;
sos _ info: reporting time and whether the data are valid;
other information;
}
the factory testing system of the production factory displays the returned data to the testing terminal, the whole data requesting process probably takes 2-3 seconds, compared with the factory testing process of the original manual observation and verification, the time is greatly reduced, the accuracy is obviously improved, and the powerful guarantee is provided for the efficient production of the factory.
Claims (5)
1. A middleware platform is surveyed to factory, comprising:
the product management module is used for browsing products through a WEB interface and adding, editing and deleting the products;
the Internet of things platform management module is used for browsing the Internet of things platform through a WEB interface and adding, editing and deleting the Internet of things platform;
the service system management module is used for browsing the service system through a WEB interface and adding, editing and deleting the service system;
the Internet of things platform docking module is used for docking with different Internet of things platforms through a northbound HTTP API;
the service system docking module is used for read-only connection to data sources of different service systems through Java programs;
and the data feedback module is used for organizing and verifying the returned data through the product data configuration rule and the verification rule after receiving the equipment data returned by the Internet of things platform or the service system, and finally returning the data to the factory test system in a JSON (JavaScript object notation) mode.
2. The cross-platform function detection method of the product of the Internet of things is applied to a detection system comprising the factory test middleware platform as claimed in claim 1, and is characterized by comprising the following steps:
A. the production plant staff scans the two-dimensional code of the equipment through the two-dimensional code scanning gun;
B. by scanning the two-dimensional code, the factory testing system of the production factory obtains basic information of the equipment;
C. after the factory test system of the production factory obtains basic information of the equipment, a data query request is sent to a factory test middleware platform;
D. the factory test middleware platform queries an Internet of things platform or a service system in which data corresponding to a product exists from the system through data source information of the product corresponding to the equipment;
E. the factory test middleware platform obtains product data from a corresponding Internet of things platform or a corresponding business system according to the keywords of the equipment;
F. and after the factory test middleware platform receives the returned product data, organizing and verifying the returned data according to the product data configuration rule and the verification rule, and finally returning the data to the factory test system of the production factory in a JSON (Java Server object notation) mode.
3. The method for detecting the cross-platform function of the product of the Internet of things of claim 2,
the method also comprises the following steps before the step A:
a0, carrying out related configuration on a factory-side middleware platform, comprising the following steps: and configuring the platform information of the Internet of things, the service system information and the product information to a factory test middleware platform.
4. The Internet of things product cross-platform function detection method of claim 3,
the configuring of the platform information of the internet of things comprises: the interface address of the platform and the account number accessed by the platform;
the configuring the service system information includes: the service system comprises a service system data source type, a data source connection address, a data source connection port and a data source access account;
the configuration product information includes: product name, product description, product model, and data source for the product.
5. The Internet of things product cross-platform function detection method of any one of claims 2 to 4,
in step B, the basic information of the device includes: the model of the device, the IMEI of the product, the SN of the product, and the MAC information of the product.
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