CN113029224A

CN113029224A - Detection system and method for batch detection sensors capable of automatically identifying equipment information

Info

Publication number: CN113029224A
Application number: CN202110269880.2A
Authority: CN
Inventors: 杨会轩; 张瑞照; 朱曰超
Original assignee: Beijing Huaqing Zhihui Energy Technology Co ltd; Shandong Huake Information Technology Co ltd
Current assignee: Beijing Huaqing Zhihui Energy Technology Co ltd; Shandong Huake Information Technology Co ltd
Priority date: 2020-09-15
Filing date: 2021-03-12
Publication date: 2021-06-25
Also published as: CN115235634A; CN113218432A; CN113029223A; CN112903120A; CN113029329A; CN113029223B; CN115235633A; CN112964394A; CN220729314U; CN113030388A; CN113063454A; CN112903120B

Abstract

The disclosure describes a detection system for batch detection sensors capable of automatically identifying equipment information, which comprises an Internet of things test platform, at least one auxiliary equipment and network equipment; the Internet of things testing platform comprises a recording unit, a communication unit, a testing unit, a reading device, a management unit and a classification unit, wherein the recording unit is used for recording equipment information of a sensor to be tested, the reading device is used for reading a bar code number so as to identify the equipment information of the sensor to be tested, an auxiliary device and the sensor to be tested are connected with the communication unit and communicate through network equipment, the testing unit controls the auxiliary device through the communication unit based on a testing task established by the management unit so as to establish a testing environment for the sensor to be tested and receive data information of the sensor to be tested under the testing environment so as to obtain a testing result, and the classification unit classifies the sensor to be tested based on the testing result. Therefore, the detection efficiency is high, and the detection can be carried out on various sensors to be detected.

Description

Detection system and method for batch detection sensors capable of automatically identifying equipment information

Technical Field

The present disclosure relates generally to a detection system and method for batch detection sensors that automatically identifies device information.

Background

A sensor is a device or apparatus that senses measured information and converts the measured information into a signal recognizable by a computer or equipment. With the development of scientific technologies such as electronic computers, remote measurement, internet of things and the like, sensors have become indispensable assistants in various fields. For example, in the field of environmental monitoring, a humidity sensor can sense humidity in the air and can be used to monitor humidity in the environment. However, sensors are often installed in places that are not easily managed by human, for example, sensors for collecting weather conditions are often installed in the field. Therefore, before the sensor is put into formal use, various testing environments generally need to be simulated to comprehensively detect the sensor, so as to ensure that the sensor can normally and stably work.

In the existing detection system of the sensor, the sensor is often detected in batch by combining computer software and auxiliary equipment, and the auxiliary equipment can be used for simulating the test environment of the sensor. For example, patent document 1(CN210243033U) discloses an automatic testing device for batch digital temperature sensors, which includes a computer, a display, a control sampler, and a testing tool, wherein the computer is installed with testing software, and when the temperature of the testing tool is balanced with the ambient temperature (i.e., the testing environment is ready), the testing software in the computer is turned on to automatically test the digital temperature sensors.

However, in the test apparatus described in patent document 1, it is necessary to wait for the temperature of the test tool to be balanced with the ambient temperature before starting the test, that is, the test environment needs to be manually prepared in advance and manually switched according to various test parameters of the test items. And is typically manually entered when identifying the device information of the sensor. In this case, the detection efficiency of the sensor is caused to be low.

Disclosure of Invention

The present disclosure has been made in view of the above circumstances, and an object thereof is to provide a system and a method for detecting sensors in a batch that can detect a plurality of types of sensors to be detected and automatically recognize device information with high detection efficiency.

To this end, a first aspect of the present disclosure provides a detection system for batch detection sensors, which automatically identifies device information, and includes an internet of things test platform, at least one auxiliary device, and a network device; the Internet of things testing platform comprises a recording unit, a communication unit and a testing unit, wherein the recording unit is used for recording equipment information of a plurality of sensors to be tested, at least one auxiliary equipment and each sensor to be tested are connected with the communication unit through the network equipment through network connection and are in communication, the testing unit controls the at least one auxiliary equipment through the communication unit based on a testing task created by a user to establish a testing environment for each sensor to be tested, the sensor to be tested is arranged in the testing environment established by the auxiliary equipment, the testing unit receives data information of each sensor to be tested under the testing environment to obtain a testing result, the testing task is a testing item for verifying whether the sensor to be tested accords with a preset requirement based on the equipment information of each sensor to be tested, the system comprises a sensor to be tested, a management unit and a classification unit, wherein the sensor to be tested is provided with a bar code number used for identifying each sensor to be tested, the Internet of things test platform further comprises a reading device, the management unit and the classification unit, the reading device is used for reading the bar code number to identify the equipment information of the sensor to be tested, the equipment information of the sensor to be tested comprises the bar code number, the management unit acquires the equipment information of the sensor to be tested identified by the reading device, the test task is established by the auxiliary equipment corresponding to the sensor to be tested based on a detection item, the equipment information of the sensor to be tested and the equipment information of the sensor to be tested, the classification unit acquires the test result based on the equipment information of the sensor to be tested, and then the sensor to be tested is classified based on the test result. Under the condition, the auxiliary equipment can be controlled to automatically establish test environments based on different test parameters for the sensor to be tested so as to comprehensively detect the sensor to be tested and automatically identify the equipment information of the sensor to be tested based on the bar code number. Therefore, the detection efficiency is high, and the detection can be carried out on various sensors to be detected.

In addition, in the detection system according to the first aspect of the present disclosure, optionally, the detection system further includes a communication mode conversion device, where the communication mode conversion device is configured to convert a communication mode of each sensor to be detected into a communication standard mode, where the communication mode includes at least one of a wireless mode, a wired serial port mode, and a network interface mode, and the communication standard mode is a network interface mode. In this case, the communication mode of the sensor under test can be uniformly converted into the communication standard mode. Therefore, communication with the Internet of things test platform based on the communication standard mode can be conveniently carried out subsequently.

In addition, in the detection system according to the first aspect of the present disclosure, optionally, the device information of the sensor to be detected is entered into a device information file according to a preset template, and then the device information file is imported into the internet of things test platform through the recording unit, wherein the barcode number corresponding to the sensor to be detected is automatically entered into the device information file through the reading device. Therefore, the risk of introducing wrong data caused by manual entry errors can be effectively reduced, and the detection efficiency can be improved.

In addition, in the detection system according to the first aspect of the present disclosure, optionally, the device information of the sensor under test further includes at least a device type, a protocol version number, a communication mode, and a communication address. Thereby, various kinds of device information of the sensor to be measured can be obtained.

In addition, in the detection system according to the first aspect of the present disclosure, optionally, the auxiliary device includes at least one of a standard current generator, a temperature and humidity experiment box, a standard blackbody source, a smoke generator, an infrared emitter, a pressure gauge, a power consumption meter, and a frequency spectrometer. Therefore, corresponding auxiliary equipment can be provided for various sensors to be tested.

In addition, in the detection system related to the first aspect of the present disclosure, optionally, the internet of things test platform further includes a login unit for a user to log in and obtain user information; the management unit is further used for starting test preparation, starting execution of the test tasks and displaying the test results of the test tasks, the management unit enables the communication unit to be connected with the plurality of sensors to be tested and the at least one auxiliary device through network connection and communicates by starting the test preparation, the management unit enables the test unit to start execution of the detection items corresponding to the test tasks by starting the execution of the test tasks, and the management unit obtains and displays the test results of the test unit. Thus, user information can be acquired and test tasks can be managed.

In addition, in the detection system related to the first aspect of the present disclosure, optionally, the internet of things test platform further includes a generation unit, where the generation unit generates a detection report based on the test result, and the detection report includes at least one of a detection conclusion, details of the test result, and a statistical analysis result. Thereby, a detection report can be generated based on the test result.

In addition, in the detection system according to the first aspect of the present disclosure, optionally, the detection items include at least one of protocol detection, minimum start current detection, measurement accuracy detection, first packet receiving time detection, packet sending interval duration detection, large current impact detection, aging detection, alarm function detection, transmission power detection, and power consumption detection. Therefore, the sensor to be measured can be detected more comprehensively.

In addition, in the detection system according to the first aspect of the present disclosure, optionally, if the detection item is the protocol detection, if the test unit receives the data information of the sensor to be tested within a preset time and parses target information, a test result of the sensor to be tested in the protocol detection is qualified; if the detection item is the minimum starting current detection, the auxiliary equipment at least provides sequentially increasing induced current so as to start the sensor to be detected and send data information to the test unit, and if the corresponding target induced current is in the range of qualified starting current when the test unit receives the data information sent by the sensor to be detected for the first time, the test result of the sensor to be detected in the minimum starting current detection is qualified; if the detection item is the measurement precision detection, the auxiliary equipment at least provides measured information, and if the test unit receives the data information of the sensor to be detected and analyzes the measured information from the data information to be detected to be in a qualified range, the test result of the sensor to be detected in the measurement precision detection is qualified; if the detection item is the first packet receiving time detection, if the test unit receives the data information of the sensor to be detected in a qualified time period, the test result of the sensor to be detected in the first packet receiving time detection is qualified; if the detection item is the packet sending interval duration detection and adopts constant value detection, the auxiliary equipment at least provides constant measured information, the test unit obtains the maximum interval duration of two adjacent groups of data information intervals from the received data information of the sensor to be detected, and if the maximum interval duration is within a preset time range, the detection result of the sensor to be detected in the packet sending interval duration detection and the constant value detection is qualified; if the detection item is the packet sending interval duration detection and adopts variable value detection, the auxiliary equipment at least provides changed measured information, and if the test unit receives data information after the measured information is changed every time and before the measured information is changed next time, the test result of the sensor to be tested in the packet sending interval duration detection and adopts variable value detection is qualified; if the detection item is the high-current impact detection, the auxiliary equipment at least provides induction current in a preset range, and if the test unit receives data information of the sensor to be detected in the retention time of the induction current, the test result of the sensor to be detected in the high-current impact detection is qualified; if the detection item is the aging detection, the auxiliary equipment at least provides multiple groups of measured information, and if the test unit receives the data information of the sensor to be tested in each group of measured information, the test result of the sensor to be tested in the aging detection is qualified; if the detection item is the alarm function detection, the auxiliary equipment at least provides measured information meeting alarm requirements, and if the test unit receives the data information of the sensor to be detected and analyzes the alarm information, the test result of the sensor to be detected in the alarm function detection is qualified; if the detection item is the transmission power detection, the auxiliary equipment at least comprises equipment for acquiring transmission power, the test unit acquires target transmission power through the equipment for acquiring transmission power and compares the target transmission power with a qualified frequency range, and if the target transmission power is in the qualified frequency range, a test result of the sensor to be tested in the transmission power detection is qualified; if the detection item is the power consumption detection, the auxiliary device at least comprises a device for acquiring power consumption, the test unit acquires target power consumption through the device for acquiring power consumption and compares the target power consumption with a qualified power consumption range, and if the target power consumption is within the qualified power consumption range, a test result of the sensor to be tested in the power consumption detection is qualified. Thus, the plurality of types of sensors to be measured can be detected by using different detection items.

A second aspect of the present disclosure provides a method of automatically identifying a batch of sensors of device information, comprising: recording equipment information of a plurality of sensors to be tested; controlling auxiliary equipment based on a test task created by a user to establish a test environment for each sensor to be tested; placing the sensors to be tested in a test environment established by the auxiliary equipment, and receiving data information of each sensor to be tested in the test environment to obtain a test result; and obtaining the test result based on the device information of the sensor to be tested, and classifying the sensor to be tested based on the test result, wherein the test task is created based on the detection item, the device information of the sensor to be tested, and the auxiliary device corresponding to the sensor to be tested, the test task is a detection item for verifying whether the sensor to be tested meets the preset requirement based on the device information of each sensor to be tested, the sensor to be tested is provided with a bar code number for identifying each sensor to be tested, the device information of the sensor to be tested is identified by reading the bar code number, and the device information of the sensor to be tested comprises the bar code number. Under the condition, the auxiliary equipment can be controlled to automatically establish test environments based on different test parameters for the sensor to be tested so as to comprehensively detect the sensor to be tested and automatically identify the equipment information of the sensor to be tested based on the bar code number. Therefore, the detection efficiency is high, and the detection can be carried out on various sensors to be detected.

According to the present disclosure, a system and a method for detecting sensors in batch, which can detect a plurality of types of sensors to be detected and automatically identify device information with high detection efficiency, can be provided.

Drawings

The disclosure will now be explained in further detail by way of example only with reference to the accompanying drawings, in which:

fig. 1 is a schematic diagram illustrating an application scenario of a detection system of a batch detection sensor that automatically recognizes device information according to an example of the present disclosure.

Fig. 2 is a block diagram illustrating an exemplary system environment for a detection system for batch detection sensors that automatically identifies device information in accordance with examples of the present disclosure.

Fig. 3 is a schematic diagram illustrating a closed loop detection flow according to an example of the present disclosure.

Fig. 4 is a block diagram illustrating a detection system of a batch detection sensor that automatically recognizes device information according to an example of the present disclosure.

Fig. 5 is a schematic diagram illustrating a network structure of a local area network-based detection system according to an example of the present disclosure.

Fig. 6 is a schematic diagram illustrating a network structure of a wide area network-based detection system according to an example of the present disclosure.

Fig. 7 is a schematic diagram illustrating another network structure of a local area network-based detection system according to an example of the present disclosure.

Fig. 8 is a block diagram illustrating a detection system of a batch detection sensor that automatically recognizes device information according to an example of the present disclosure.

Fig. 9 is a flow chart illustrating a method of automatically identifying batch detection sensors of device information in accordance with an example of the present disclosure.

Detailed Description

Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In the following description, the same components are denoted by the same reference numerals, and redundant description thereof is omitted. The drawings are schematic and the ratio of the dimensions of the components and the shapes of the components may be different from the actual ones.

It is noted that the terms "comprises," "comprising," and "having," and any variations thereof, in this disclosure, for example, a process, method, system, article, or apparatus that comprises or has a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include or have other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

In some examples, the detection system of the batch detection sensor for automatically identifying device information (which may also be sometimes simply referred to as a detection system) according to the present disclosure may be applied to the application scenario 100 shown in fig. 1. The detection system 300 (described later) may include an internet of things test platform 110 (described later), which internet of things test platform 110 may be stored in a server (not shown) in the form of computer program instructions and executed by the server. In some examples, in the application scenario 100, multiple sensors under test 120 may enter four work areas in sequence to complete the entire detection process. Specifically, a plurality of sensors under test 120 may enter the warehousing area 130, the to-be-tested area 140, the testing area 150, and the classification area 160 in sequence to complete the entire testing process. In some examples, each workspace completes the detection of multiple sensors under test 120 by interacting, e.g., communicating, with the internet of things test platform 110.

In some examples, when multiple sensors 120 to be tested are in the warehousing area 130, each sensor 120 to be tested may be attached with a bar code number having a unique identifier (i.e., the sensor 120 to be tested may be provided with a bar code number for identifying each sensor 120 to be tested). In some examples, the barcode number may be presented in the form of a barcode or a two-dimensional code. In this case, the barcode number may facilitate subsequent identification of each sensor 120 to be tested, and thus may quickly and accurately acquire device information of a plurality of sensors 120 to be tested. In other examples, the communication address may be utilized as a unique identification for the sensor under test 120. The communication address is determined by the manufacturer of the sensor under test 120 according to a predetermined rule. In some examples, the communication address may be used to determine the unique sensor under test 120 during the communication process.

In some examples, device information for a plurality of sensors under test 120 at the warehousing area 130 may be entered into the internet of things test platform 110. In some examples, device information of the plurality of sensors under test 120 may be recorded using a recording unit 111 (described later). In some examples, the device information of the plurality of sensors to be tested 120 may be entered into a device information file and then imported into the internet of things test platform 110 through the recording unit 111. In some examples, the device information of the sensor under test 120 may be entered into the device information file according to a preset template. In some examples, if the device information includes a barcode number, the barcode number corresponding to the sensor under test 120 may be automatically entered into a device information file (e.g., a template-based excel file) by a reading device 119 (described later). This enables the bar code number to be automatically entered and the device information of the sensor under test 120 to be recorded quickly. In some examples, the reading device 119 may read the bar code number to identify device information for the sensor under test 120. In some examples, the reading device 119 may include, but is not limited to, a code scanning gun, a scanner, or a mobile application. This enables supporting a plurality of reading modes. In some examples, the logged device information may be queried by the internet of things test platform 110.

In some examples, after completing device information entry, a plurality of sensors under test 120 may enter the to-be-inspected area 140 from the warehousing area 130. In some examples, while in the suspected area 140, a plurality of sensors under test 120 may be assembled, preliminarily inspected, and batched to obtain inspection information and batch information, and submitted into the internet of things testing platform 110. In some examples, the inspection information and the batch information may be queried by the internet of things testing platform 110. In some examples, the preliminary inspection of each sensor under test 120 may include, but is not limited to, a breakage inspection, a fitting integrity inspection, and the like. In some examples, the plurality of sensors under test 120 may be batched such that the plurality of sensors under test 120 enter the test area 150 for testing in batches in sequence. In some examples, a reading device 119, such as a code scanning gun or mobile application, may be used to scan the barcode numbers affixed to each sensor under test 120 to facilitate selection of the corresponding sensor under test 120 into the test area 150.

In some examples, after assembly, preliminary inspection, and batching are completed, individual batches of sensors under test 120 may enter the test area 150. In some examples, at the test area 150, auxiliary equipment 220 (described later) may be provided for each lot of sensors under test 120 and the internet of things test platform 110 may be utilized to detect each lot of sensors under test 120 to obtain test results. In some examples, the sensors under test 120 in each lot may be selected for detection by the reading device 119. In some examples, the test results may be stored in the internet of things test platform 110. In some examples, the test results may be queried by the internet of things test platform 110.

In some examples, after detection is complete, a plurality of sensors under test 120 may enter classification zone 160. In some examples, multiple sensors under test 120 may be classified while classifying region 160. For example, a plurality of sensors 120 under test that pass and fail the test result may be placed in the pass and fail areas, respectively. In some examples, at the time of sorting the region 160, a sorting unit 118 (described later) may acquire device information of the sensor under test 120 identified by the reading device 119, and acquire a test result based on the device information of the sensor under test 120, and then sort the sensor under test 120 based on the test result. In some examples, the classification results may be submitted to the internet of things testing platform 110. In some examples, the classification results may be submitted to the internet of things testing platform 110 by the classification unit 118. In some examples, the classification results may be queried by the internet of things testing platform 110.

In some examples, a server storing the internet of things test platform 110 may include one or more processors and one or more memories. Wherein the processor may include a central processing unit, a graphics processing unit, and any other electronic components capable of processing data, capable of executing computer program instructions. The memory may be used to store computer program instructions. In some examples, the server may also be a cloud server.

Fig. 2 is a block diagram illustrating an exemplary system environment for a detection system for batch detection sensors that automatically identifies device information in accordance with examples of the present disclosure. Fig. 3 is a schematic diagram illustrating a closed loop detection flow according to an example of the present disclosure. In some examples, the detection system of the present disclosure may be based on internet of things technology. The Internet of Things (IOT) refers to various devices such as sensors, which are accessed through various possible networks such as computer networks to achieve interconnection and intercommunication between objects and people. As an example of a system environment of a detection system, fig. 2 shows a system environment 200. In the system environment 200, the internet of things test platform 110, the plurality of sensors under test 120, auxiliary devices 220 (described later), and the terminal 230 may communicate through the network 210.

In some examples, network 210 may be a computer network. The computer network may include, but is not limited to, a wide area network, a local area network, and the like. In some examples, the terminal 230 may access the internet of things testing platform 110 through a browser or by installing a desktop client or a mobile client corresponding to the internet of things testing platform 110. In some examples, the sensor under test 120 and the auxiliary device 220 may be connected to the network 210 through a network device 310 (described later) and communicate with the internet of things test platform 110.

In some examples, as shown in fig. 3, the output quantity, e.g., current, of the auxiliary device 220 may be automatically controlled by the internet of things test platform 110. The output quantity may act on the sensor to be tested 120 to trigger the sensor to be tested 120 to report data information to the internet of things test platform 110. The internet of things test platform 110 may obtain the test result by comparing the theoretical effect of the sensor 120 to be tested at the output quantity with the actual effect of the sensor 120 to be tested corresponding to the data information reported by the sensor to be tested. Thus, a closed-loop automatic detection flow can be formed. However, examples of the present disclosure are not limited thereto, and in some other examples, a preset command may be sent to the sensor under test 120 through the internet of things test platform 110, for example, to obtain the boot information to obtain the data information.

The following describes the detection system according to the present disclosure in detail with reference to the accompanying drawings. Fig. 4 is a block diagram illustrating a detection system of a batch detection sensor that automatically recognizes device information according to an example of the present disclosure. In some examples, as shown in fig. 4, the detection system 300 may include the internet of things test platform 110, the auxiliary device 220, and the network device 310. The internet of things testing platform 110 may include a recording unit 111, a communication unit 112, and a testing unit 113. The recording unit 111 may be used to record device information of the plurality of sensors 120 under test. The communication unit 112 may be used to connect and communicate with each sensor under test 120 and the auxiliary device 220. The test unit 113 may be used to control the auxiliary device 220 to establish a test environment and obtain test results of each sensor under test 120. The auxiliary equipment 220 may be used to provide a test environment for a plurality of sensors under test 120. The network device 310 may be used to connect the various sensors under test 120 and auxiliary devices 220 to the communication unit 112. In this case, the auxiliary device 220 may be controlled to automatically establish a test environment based on different test parameters for the sensor under test 120 so as to perform more comprehensive detection on the sensor under test 120. This enables detection of a plurality of types of sensors to be measured 120, and the detection efficiency is high.

In some examples, as described above, the internet of things testing platform 110 may include a recording unit 111 (see fig. 4). In some examples, the recording unit 111 may be used to record device information for a plurality of sensors 120 under test. The sensor under test 120 is a device or apparatus that senses the information being measured and converts the measured information into a signal recognizable by a computer or equipment.

In some examples, the sensor under test 120 may include at least one of a temperature sensor, a humidity sensor, an infrared sensor, a smoke sensor, a partial discharge sensor, a water immersion sensor. This enables detection of a plurality of types of sensors to be measured 120. In some examples, the sensor under test 120 may be a smart sensor. Smart sensors may include microprocessors and have the ability to process and collect information.

In some examples, the recording unit 111 may record the device information into the storage space. The storage space may include, but is not limited to, a database, a file, or a memory, etc. In some examples, the recording unit 111 may be used to record the device information of the sensor under test 120 into the storage space when the sensor under test 120 enters the warehousing area 130. The device information of the sensor under test 120 may be acquired by reading a bar code number set by the sensor under test 120. In some examples, the barcode number may be automatically entered into the device information file through the reading device 119, and then the device information file is imported into the internet of things testing platform 110 through the recording unit 111 (i.e., recorded into the storage space). Therefore, the risk of introducing wrong data caused by manual entry errors can be effectively reduced, and the detection efficiency can be improved.

Additionally, in some examples, the plurality of sensors under test 120 may be from different vendors. In some examples, sensors 120 under test of different manufacturers may be converted by a communication protocol to access the internet of things test platform 110. For example, different protocol agents may be provided for different vendors. The protocol agent may convert communication protocols of the sensors to be tested 120 of different manufacturers into communication protocols supported by the internet of things test platform 110. Therefore, the compatibility of the internet of things test platform 110 can be improved. In some examples, the protocol proxies may be implemented in a reflective manner, i.e., in dynamic code. In this case, by providing the protocol agent in a reflective manner, the sensor under test 120 based on the new communication protocol can be accessed to the internet of things test platform 110 without reissuing (i.e., updating) the internet of things test platform 110. Thereby, the stability of the internet of things test platform 110 can be ensured.

Additionally, in some examples, the device information of the sensor under test 120 may include at least a device type, a protocol version number, a communication mode, and a communication address. Thereby, various pieces of equipment information of the sensor to be measured 120 can be obtained. In some examples, the device type may be the kind of sensor 120 under test. In some examples, the device type may be represented numerically. For example, a temperature sensor may be defined as having a device type of 1 and a humidity sensor may be defined as having a device type of 2. Examples of the disclosure are not so limited and in other examples, the device type may be numeric, alphabetic, chinese, or a combination of the three. Additionally, in some examples, the protocol version number is a version of the communication protocol of the sensor under test 120. Thus, different versions of communication protocols can be resolved based on the protocol version number. Additionally, in some examples, the communication mode may include at least one of a wireless mode, a wired serial mode, and an internet port mode. This enables detection of the sensor under test 120 in a plurality of different communication modes.

In some examples, the wireless mode may include, but is not limited to, bluetooth communication, 433MHZ (megahertz) communication, 125KHZ (kilohertz) communication, WIFI (mobile hotspot) communication, and the like. In some examples, the sensor under test 120 having the wired serial port mode may perform serial communication based on a commonly used communication interface standard such as an RS232 interface standard, an RS485 interface standard, or an RS422 interface standard. In some examples, the sensor under test 120 having a portal mode may have an RJ45 network interface (information jack connector in a wiring system). In this case, the internet of things test platform 110 may be communicated with through a network interface of the network device 310 (described later).

Additionally, in some examples, the communication address may be determined by the manufacturer of the sensor under test 120 according to predetermined rules. In some examples, the communication address may be used to determine the unique sensor under test 120 during the communication process. For example, when the sensor to be measured 120 reports data information, the data information may include a communication address. In this case, the internet of things test platform 110 may obtain the communication address after receiving the data information, and may further determine the sensor 120 to be tested to which the data information belongs. In addition, in some examples, the device information of the sensor under test 120 may further include at least one of a device number, a model number, a batch number, a time of arrival, a warehousing time, a bar code number, a device version number, and a home of the device. Thereby, various pieces of equipment information of the sensor to be measured 120 can be obtained.

In some examples, the device number may be a unique number of each sensor under test 120 in the internet of things test platform 110. In addition, in some examples, the barcode number may be a barcode number with a unique identifier attached to each sensor under test 120 when a plurality of sensors under test 120 enter the warehousing area 130 (that is, the sensor under test 120 may be provided with a barcode number for identifying each sensor under test 120). In some examples, the barcode numbers may correspond to the device information of the sensors 120 to be tested one to one, that is, the device information of one sensor 120 to be tested corresponds to a unique barcode number. In some examples, the barcode number may be presented in the form of a barcode or a two-dimensional code. In some examples, the bar code number may be read with the reading device 119 to identify device information for the sensor under test 120. Therefore, the risk of introducing wrong data caused by manual entry errors can be effectively reduced, and the detection efficiency can be improved.

In some examples, as described above, the internet of things test platform 110 may include the communication unit 112 (see fig. 4). In some examples, the communication unit 112 may be used to connect and communicate with various sensors under test 120 and auxiliary devices 220. In some examples, the secondary device 220 may connect to and communicate with the communication unit 112 through the network device 310 by a network connection. The auxiliary device 220 may include at least one device. In some examples, the sensor under test 120 may connect and communicate with the communication unit 112 through the network device 310 by a network connection. In addition, in some examples, the communication unit 112 may implement data information Transmission based on a UDP (User Datagram Protocol), a TCP (Transmission Control Protocol), or a WEB service. Among them, WEB services are a technology of a service-oriented architecture.

In some examples, the internet of things testing platform 110 may include a testing unit 113 (see fig. 4). The test unit 113 may be used to control the auxiliary device 220 to establish a test environment and obtain test results of each sensor under test 120. In some examples, the test unit 113 may control the at least one auxiliary device 220 through the communication unit 112 to establish a test environment for each sensor under test 120 based on the test task. For example, the output of the auxiliary device 220 is controlled. In some examples, the test tasks may be created by a user. The user may be a user using the detection system 300.

In some examples, the test task may be to verify whether each sensor under test 120 meets a detection item of a preset requirement based on the device information of the sensor under test 120. For example, the test task may be to verify whether the start-up current of the temperature sensor is within a preset current range. In some examples, a test task may include one or more test items. In some examples, the detection items may include at least one of protocol detection, minimum start current detection, measurement accuracy detection, first packet reception time detection, packet transmission interval duration detection, large current surge detection, aging detection, alarm function detection, transmission power detection, and power consumption detection. This enables the sensor under test 120 to be detected more comprehensively.

In some examples, the detection items of different sensors under test 120 may not be identical. For example, the smoke sensor can have three detection items of protocol detection, alarm function detection and power consumption detection. In some examples, different test items (described in detail later) may correspond to different test parameters. In some examples, the test parameters may be set based on specifications, data from the manufacturer of the mainstream equipment, field application or empirical values, and the like. In some examples, the test unit 113 may control the at least one auxiliary device 220 via the communication unit 112 to establish a test environment for each sensor under test 120 as a function of the test parameters based on the test task.

Additionally, in some examples, the test environment may provide measured information, such as temperature, for perception by the sensor under test 120. Additionally, in some examples, the test environment may provide conditions, such as current, that cause the sensor under test 120 to turn on. Additionally, in some examples, the test environment collects operational information of the sensor under test 120. The operational information may include, for example, power consumption or transmit power. Thus, a relatively comprehensive test environment can be provided for the sensor under test 120.

In some examples, the sensor under test 120 may be placed in a test environment established by the auxiliary device 220. In some examples, each sensor under test 120 and the auxiliary device 220 may be connected in a contact manner. For example, the sensor 120 to be measured may be fixed to an auxiliary device 220, such as a standard current generator. Additionally, in some examples, the sensor under test 120 may be placed at a particular location of the auxiliary device 220. For example, the temperature sensor may be placed within a cavity of an auxiliary device 220, such as a temperature and humidity lab box. In this case, the output of the auxiliary device 220, such as current, may act on the sensor 120 to be tested, and the output of the auxiliary device 220 may be automatically controlled through the internet of things testing platform 110, so that a testing environment may be automatically established. This can improve the detection efficiency.

In addition, in some examples, the test unit 113 may receive data information of each sensor under test 120 in the test environment to obtain test results. In some examples, each sensor under test 120 starts reporting data information, such as power-on information, to the internet of things test platform 110 after receiving the output of the auxiliary device 220. In other examples, the corresponding data information may be obtained by sending a preset command, such as a get power on information command, to the sensor under test 120. In some examples, the test result may be obtained by comparing the theoretical effect corresponding to the test environment and the actual effect corresponding to the data information. In some examples, the test result may be the result of each sensor under test 120 in each test item, such as pass or fail. For example, assuming that the test environment is used for measuring accuracy detection of the temperature sensor, a fixed temperature, for example, 5 ℃ is provided, the theoretical effect is that the measured value of the temperature sensor is within a specific interval, for example, 4.5 ℃ to 5.5 ℃, and the actual effect is that the target temperature value corresponding to the data information is, for example, 6 ℃. Since the target temperature value is not in the specific interval, the temperature sensor detects the test result of the detection item as unqualified in measurement precision.

In some examples, as described above, the detection system 300 may include the auxiliary device 220 (see fig. 4). In some examples, the auxiliary device 220 may be used to provide a test environment for a plurality of sensors 120 under test. In some examples, a test environment may be provided for a plurality of sensors under test 120 based on the device information described above. In some examples, the auxiliary device 220 may feed back the provided output to the internet of things testing platform 110. In this case, whether the output quantity controlled by the internet of things test platform 110 is accurate can be further checked. Therefore, the detection accuracy can be improved.

In some examples, the auxiliary device 220 may include, but is not limited to, a current device (e.g., a standard current generator, etc.), a temperature control device (e.g., a temperature and humidity lab box), a power detection device (e.g., a spectrometer), a power consumption detection device (e.g., a power consumption meter), and so forth. In particular, in some examples, the auxiliary device 220 may include at least one of a standard current generator, a temperature and humidity experiment box, a standard blackbody source, a smoke generator, an infrared emitter, a pressure gauge, a power consumption meter, a spectrometer. Thus, a variety of sensors under test 120 can be provided with corresponding auxiliary equipment 220.

In some examples, the communication mode of the secondary device 220 may be a portal mode. Thus, the internet of things testing platform 110 can be connected and communicate through the network device 310. In some examples, the communication mode of the auxiliary device 220 may be a serial mode. In this case, the serial port mode may be converted into the internet port mode and then connected to the network device 310, so as to be connected to and communicate with the internet of things test platform 110.

In some examples, the auxiliary devices 220 that detect project requirements may not be identical. As described above, the detection items of different sensors to be tested 120 may not be completely the same, and different detection items may correspond to different test parameters.

In some examples, if the detection item is protocol detection, if the test unit 113 receives the data information of the sensor under test 120 within a preset time and parses out the target information, the test result of the sensor under test 120 in the protocol detection may be qualified. In this case, the test parameters may include at least a preset time (which may also be referred to as a holding time period), which may be, for example, 100 seconds to 150 seconds. In some examples, the auxiliary device 220 in protocol detection may include a current device.

In some examples, if the detection item is minimum starting current detection, the auxiliary device 220 may provide at least sequentially increasing induced currents to start the sensor under test 120 and send data information to the test unit 113, and if a target induced current corresponding to the data information sent by the sensor under test 120 for the first time when the test unit 113 receives the data information is within a range of a qualified starting current, a test result of the sensor under test 120 in the minimum starting current detection is qualified. In this case, the test parameters may include at least a parameter for controlling the auxiliary device 220 to provide the sequentially increasing sense current and a qualified start current, for example, the test parameters may be a start sense current, a holding time period, a step current, a step number, a qualified start current, and the like. The parameters such as the initial sensing current, the holding time, the stepping current, and the stepping number may control the auxiliary device 220 to provide the sensing current from the initial sensing current, increase the sensing current of the stepping current after each time of the holding time, and stop providing the sensing current after increasing the stepping number. The auxiliary device 220 in the minimum startup current detection may include a current device.

In some examples, if the detection item is measurement accuracy detection, the auxiliary device 220 may provide at least the measured information, and if the test unit 113 receives the data information of the sensor under test 120 and analyzes the measured information from the data information to be within a qualified range, the test result of the sensor under test 120 in the measurement accuracy detection is qualified. In this case, the test parameters may include at least the measured information and the pass range. In some examples, the auxiliary device 220 in measurement accuracy detection may include at least a device to which the measured information corresponds (e.g., if the sensor 120 to be measured is a temperature sensor, the measured information is a temperature, corresponding to a temperature control device). In some examples, the auxiliary device 220 in measurement accuracy detection may also include a current device. In other examples, in the measurement accuracy detection, different measured information may be set in the test parameter, and the measured information measured by the sensor to be measured 120 and the actual output quantity fed back by the device corresponding to the measured information are respectively obtained, and the average values of the measured information and the actual output quantity are calculated and compared, so as to determine whether the test result of the sensor to be measured 120 in the measurement accuracy detection is qualified by combining the qualified range.

In some examples, if the detection item is the first packet receiving time detection, if the test unit 113 receives the data information of the sensor under test 120 within the qualified time period, the test result of the sensor under test 120 in the first packet receiving time detection may be qualified. In this case, the test parameters may include at least a pass duration. In some examples, the auxiliary device 220 in the detection of the time of receipt of the first packet may include a current device.

In some examples, if the detection item is a packet transmission interval duration detection and a constant value detection is adopted, the auxiliary device 220 may provide at least constant measured information, the testing unit 113 may obtain a maximum interval duration of two adjacent sets of data information intervals based on the received data information of the sensor to be tested 120, and if the maximum interval duration is within a preset time range, a test result of the sensor to be tested 120 in the packet transmission interval duration detection and the constant value detection may be qualified. In this case, the test parameters may include at least the measured information, a duration of the measured information, and a preset time range, based on which the auxiliary device 220 may be controlled to provide the measured information for the duration of the duration. In some examples, the secondary device 220 in the packet transmission interval duration detection and employing a constant value detection may include at least the device to which the measured information corresponds. In some examples, the accessory 220 in the packet interval duration detection and detection with a constant value may also include a current device.

In some examples, if the detection item is the inter-packet duration detection and the detection is performed with a variable value, the auxiliary device 220 may provide at least the changed measured information, and if the data information can be received by the test unit 113 after each change of the measured information and before the next change of the measured information, the test result of the sensor under test 120 during the inter-packet duration detection and the detection is performed with a variable value may be qualified. In this case, the test parameters may include at least parameters that control the auxiliary device 220 to provide varying measured information. For example, the test parameters may include a start value, a holding time, a variable step size, a variable number of times, and the like of the measured information. Specifically, the test parameter may control the auxiliary device 220 to provide the measured information from the start value of the measured information, increase the measured information by the variable step length after each duration of the holding period, and stop providing the measured information after increasing the variable times. In some examples, the secondary device 220 in the packet transmission interval duration detection and employing variable values in the detection may include at least the device to which the measured information corresponds. In some examples, the accessory 220 in the packet interval duration detection and detection with varying values may also include a current device.

In some examples, if the detection item is a high current impact detection item, the auxiliary device 220 may provide at least a preset range of induced current, and if the test unit 113 receives data information of the sensor 120 to be tested within a retention time of the induced current, a test result of the sensor 120 to be tested in the high current impact detection item may be qualified. In some examples, the preset range may be a larger range, for example the preset range may exceed 1000A. In this case, the test parameters may include at least the induced current and the duration of the induced current hold-up. The auxiliary device 220 in the detection of a large current surge may comprise a current device.

In some examples, if the detection item is aging detection, the auxiliary device 220 may provide at least multiple sets of measured information, and if the data information of the sensor under test 120 is received by the test unit 113 in each set of measured information, the test result of the sensor under test 120 in aging detection may be qualified. In this case, the test parameters may include at least a plurality of sets of measured information and a duration of time for which each set of measured information is maintained, and the test parameters may control the auxiliary device 220 to provide each set of measured information in turn for the corresponding duration of time. In some examples, the secondary device 220 in aging detection may include at least the apparatus to which the measured information corresponds. In some examples, the auxiliary device 220 in the degradation detection may also include a current device.

In some examples, if the detection item is an alarm function detection, the auxiliary device 220 may at least provide measured information meeting the alarm requirement, and if the test unit 113 receives the data information of the sensor under test 120 and parses out the alarm information, the test result of the sensor under test 120 in the alarm function detection is qualified. In this case, the test parameters may include at least measured information that meets the alarm requirements. In some examples, the secondary device 220 in the alert function detection may include at least the apparatus to which the measured information corresponds. In some examples, the auxiliary device 220 in the alert function detection may also include a current device.

In some examples, if the detection item is transmission power detection, the auxiliary device 220 may include at least a device (e.g., a spectrometer) for acquiring transmission power, and the testing unit 113 acquires a target transmission power through the device for acquiring transmission power and compares the target transmission power with a qualified frequency range, and if the target transmission power is in the qualified frequency range, a test result of the sensor under test 120 in transmission power detection may be qualified. In this case, the test parameters may include at least a qualified frequency range. In some examples, the auxiliary device 220 in transmit power detection may also include a current device.

In some examples, if the detection item is power consumption detection, the auxiliary device 220 may include at least a device (e.g., a power consumption meter) for acquiring power consumption, the test unit 113 acquires a target power consumption through the device for acquiring power consumption and compares the target power consumption with a qualified power consumption range, and if the target power consumption is within the qualified power consumption range, a test result of the sensor under test 120 in the power consumption detection may be qualified. In this case, the test parameters may include at least a qualified power consumption range. In some examples, the auxiliary device 220 in power consumption detection may also include a current device. In some examples, detection system 300 may include network device 310 (see fig. 4). In some examples, the network device 310 may be used to connect various sensors under test 120 and auxiliary devices 220 to the internet of things test platform 110. In some examples, the network device 310 may be used to connect each sensor under test 120 with the communication unit 112 of the internet of things test platform 110. Each sensor under test 120 may be connected to and communicate with the communication unit 112 via a network connection. In some examples, the network device 310 may be used to connect the at least one auxiliary device 220 with the communication unit 112 of the internet of things test platform 110. In some examples, the at least one secondary device 220 may be connected to and communicate with the communication unit 112 via a network connection. As described above, the network may be a computer network. In some examples, the computer network may include, but is not limited to, a wide area network, a local area network, and the like.

Fig. 5 is a schematic diagram illustrating a network structure of a local area network-based detection system according to an example of the present disclosure. In some examples, in the local area network based detection system 300, the network device 310 may include, but is not limited to, a switch, a hub, and the like. As an example of a network structure of the local area network based detection system 300, fig. 5 shows a network structure of the local area network based detection system 300. As shown in fig. 5, the sensor under test 120 and the auxiliary device 220 may be connected to and communicate with the internet of things test platform 110 through a network device 310, such as a switch, respectively.

Fig. 6 is a schematic diagram illustrating a network structure of a wide area network-based detection system according to an example of the present disclosure. In other examples, in wide area network-based detection system 300, network device 310 may include switching device 311 and routing device 312. Switching device 311 may include, but is not limited to, a switch, a hub, and the like. Routing device 312 may include, but is not limited to, a router. As an example of a network architecture for the wide area network-based detection system 300. Fig. 6 shows a network structure of the wide area network-based detection system 300. As shown in fig. 6, the sensor under test 120 and the auxiliary device 220 may be respectively connected to a switching device 311, for example, a switch, and then the switching device 311 may be connected to the internet of things test platform 110 through a routing device 312, for example, a router.

Examples of the disclosure are not limited thereto and in other examples, detection system 300 may not be connected via a network. For example, the connection with the sensor under test 120 and the auxiliary device 220 may be made via serial ports.

Fig. 7 is a schematic diagram illustrating another network structure of a local area network-based detection system according to an example of the present disclosure. In some examples, the detection system 300 may also include a communication mode transition device 320. In some examples, the communication mode conversion device 320 may be used to convert the communication mode of the sensor under test 120 to a communication standard mode. In some examples, the communication standard mode may be a portal mode. As shown in fig. 7, in some examples, the sensor under test 120 may be directly connected to the network device 310, or may be connected to the network device 310 through the communication mode conversion device 320. In this case, the communication mode of the sensor under test 120 can be uniformly converted into the communication standard mode. Therefore, subsequent communication with the internet of things testing platform 110 based on the communication standard mode can be facilitated.

As described above, in some examples, the communication mode may include at least one of a wireless mode, a wired serial mode, and an internet port mode. In some examples, the wireless mode or the wired serial mode of the sensor under test 120 may be converted to the internet port mode to connect the sensor under test 120 to the network device 310. In some examples, the communication mode transition device 320 may be a concentrator. The concentrator may collect data information of the sensor under test 120 having a wireless mode and connect with the network device 310 to forward the data information. Additionally, in some examples, the communication mode conversion device 320 may be a serial to network port module. In this case, the communication mode of the sensor 120 to be tested can be switched to the internet access mode through the serial port to internet access module, so that the sensor 120 to be tested can be connected to the network device 310. In some examples, the sensor under test 120 having the portal mode may be directly connected with the network device 310.

Fig. 8 is a block diagram illustrating a detection system of a batch detection sensor that automatically recognizes device information according to an example of the present disclosure. In some examples, as shown in fig. 8, the internet of things testing platform 110 may further include a login unit 114. The login unit 114 may be used for a user to log in and obtain user information. The user information may include at least a user number and a user's authority. In some examples, the user information may also include at least one of a login account number, a username, a login time, and a login IP address. In some examples, the log-in may be performed through the log-in unit 114 before using the functions of the internet of things test platform 110, such as the recording unit 111.

In some examples, the internet of things testing platform 110 may further include a suspect unit 115 (see fig. 8). In some examples, the suspect unit 115 may be used to assemble, preliminarily inspect, and batch a plurality of sensors 120 under test.

In some examples, the suspect unit 115 may be used to batch multiple sensors 120 under test. Since the number of sensors 120 to be tested is generally large, in some examples, the inspection unit 115 may be used to batch the plurality of sensors 120 to be tested after assembling and initially inspecting the plurality of sensors 120 to be tested. The preliminary inspection of the sensor under test 120 may include, but is not limited to, a breakage inspection, a fitting integrity inspection, and the like.

Specifically, in some examples, when a plurality of sensors to be tested 120 enter the warehousing area 130, each sensor to be tested 120 may be attached with a bar code number having a unique identification function and the recording unit 111 may be used to record the device information of each sensor to be tested 120. When a plurality of sensors 120 to be tested enter the suspected region 140, each sensor 120 to be tested can be identified by a reading device 119 such as a code scanning gun, and then a bar code number is identified by the reading device 119 such as the code scanning gun to acquire device information of the sensor 120 to be tested and displayed in the suspected unit 115. In this case, the device information of the plurality of sensors 120 to be tested may be obtained to form a device list by scanning the bar numbers of the different sensors 120 to be tested a plurality of times via the reading device 119 such as a code scanning gun. The user clicks the button for confirming the lot in the unit to be inspected 115 and then the plurality of sensors to be inspected 120 corresponding to the apparatus list is one lot. In some examples, after a batch operation is completed, the batch of sensors 120 under test may enter the test area 150.

In some examples, as shown in fig. 8, the internet of things testing platform 110 may further include a management unit 116. In some examples, the management unit 116 may be used to create test tasks. In some examples, test tasks may be created based on batch information submitted by the suspected unit 115.

In some examples, the management unit 116 may create a test task based on the detection items, the device information of the sensor under test 120, and the auxiliary device 220 to which the sensor under test 120 corresponds.

In some examples, the management unit 116 may obtain device information for the sensor under test 120 identified by the reading device 119 in creating the test task. Specifically, the bar code number provided on the sensor to be tested 120 may be scanned using the reading device 119 such as a code scanning gun to identify the device information of the sensor to be tested 120.

In some examples, the management unit 116 may create the test task based on the detection type selected by the user, the detection item selected by the user, the user information acquired by the login unit 114, the device information of the plurality of sensors under test 120, and the auxiliary devices 220 corresponding to the plurality of sensors under test 120. In some examples, the detection type may include at least one of a temperature sensor detection, a humidity sensor detection, an infrared sensor detection, a smoke sensor detection, a partial discharge sensor detection, a water sensor detection.

Specifically, in some examples, a user may log into the internet of things testing platform 110 through the login unit 114, and the internet of things testing platform 110 displays a corresponding browsable or operable page, for example, a test task page, according to the authority that the user has. In this case, the user may select the detection type corresponding to the batch of sensors under test 120, such as temperature sensor detection, humidity sensor detection, and the like. The internet of things testing platform 110 can enter a page of a corresponding detection task according to the detection type selected by the user. In the page of the test task, the user may create the test task by selecting the test items, the device information of the plurality of sensors to be tested 120, and the auxiliary devices 220 corresponding to the plurality of sensors to be tested 120.

Additionally, in some examples, the management unit 116 may be used to initiate test preparation. In some examples, the management unit 116 may prepare to connect the communication unit 112 with the plurality of sensors under test 120 and the at least one auxiliary device 220 by initiating a test. The plurality of sensors under test 120 and the at least one auxiliary device 220 may be connected and communicate with the communication unit 112 via a network connection. The communication unit 112 may establish connections with the plurality of sensors under test 120 and the at least one auxiliary device 220, respectively, to prepare for testing, for example, by initiating test preparation.

Additionally, in some examples, the management unit 116 may be used to initiate execution of the test tasks. In some examples, the management unit 116 may cause the testing unit 113 to start executing the detection item corresponding to the test task by starting executing the test task. As described above, the test unit 113 may be used to control the auxiliary device 220 to establish a test environment and obtain test results of the respective sensors 120 under test. Additionally, in some examples, the management unit 116 may be to display test results of the test tasks. In some examples, the management unit 116 may obtain and display the test results of the test unit 113.

In some examples, the internet of things testing platform 110 may further include a generating unit 117 (see fig. 8). In some examples, the generation unit 117 may generate a detection report based on the test result obtained by the test unit 113. Thereby, a detection report can be generated based on the test result.

In some examples, the test report may include at least one of a test conclusion, test result details, and statistical analysis results. In some examples, the detection report may be a detection report for a batch of sensors under test 120. In some examples, the detection report may be a detection report of all sensors under test 120 entering the warehousing area 130. In some examples, the detection conclusion may be pass and fail. In addition, in some examples, the test result details may include data information, test results, and test environment information, such as temperature, for each item of testing for each sensor under test 120. Additionally, in some examples, the statistical analysis results may be results of counting and presenting test results from different dimensions. For example, the yield of multiple sensors 120 under test may be counted and presented using a pie chart. In some examples, a detection report may be derived. In some examples, the detection report may be a word formatted document.

In some examples, the internet of things testing platform 110 may further include a classification unit 118 (see fig. 8). In some examples, the classification unit 118 may classify the sensor under test 120 based on the test results obtained by the test unit 113. For example, when a plurality of sensors 120 under test enter the classification region 160, the classification unit 118 may be used to classify each sensor 120 under test into a qualified region or a unqualified region and record the classification result. Thereby, the sensor under test 120 can be classified based on the test result. In some examples, the classification unit 118 may acquire device information of the sensor under test 120 identified by the reading device 119 and acquire a test result based on the device information of the sensor under test 120.

In some examples, as shown in fig. 8, the internet of things testing platform 110 may further include a reading device 119. The reading device 119 may be used to read the bar code number to identify the device information of the sensor under test 120. Therefore, the risk of introducing wrong data caused by manual entry errors can be effectively reduced, and the detection efficiency can be improved. In some examples, the reading device 119 may include, but is not limited to, a code scanning gun, a scanner, or a mobile application. In some examples, the connection of the reading apparatus 119 may be a wireless connection (e.g., wifi connection) or a wired connection (e.g., wired serial connection).

In the present disclosure, the auxiliary device 220 and the multiple sensors to be tested 120 are connected and communicate with the internet of things test platform 110 through the network device 310 via a network connection, and the internet of things test platform 110 controls the auxiliary device 220 to establish a test environment of the multiple sensors to be tested 120 and receive data information of each sensor to be tested 120 in the test environment to obtain a test result, and further automatically identifies device information of the sensors to be tested 120 based on the barcode number. In this case, the auxiliary device 220 may be controlled to automatically establish a test environment based on different test parameters for the sensor under test 120 so as to more comprehensively detect the sensor under test 120 and automatically identify the device information of the sensor under test 120 based on the barcode number. This enables detection of a plurality of types of sensors to be measured 120, and the detection efficiency is high.

Hereinafter, the method of the present disclosure for automatically recognizing a batch detection sensor of device information is described in detail with reference to fig. 9. The method of batch detection sensors to automatically recognize device information according to the present disclosure may sometimes be simply referred to as a detection method. The method of the present disclosure is applied to the detection system 300. Fig. 9 is a flow chart illustrating a method of automatically identifying batch detection sensors of device information in accordance with an example of the present disclosure.

In some examples, the inspection method may include recording device information of a plurality of sensors under test (step S10), controlling the auxiliary device to establish a test environment based on the test task (step S20), and placing the plurality of sensors under test in the test environment and receiving data information of the respective sensors under test in the test environment to obtain a test result (step S30). In this case, the auxiliary device 220 may be controlled to establish a test environment for the sensor under test 120 based on different test parameters so as to perform more comprehensive detection on the sensor under test 120. This enables detection of the sensor under test 120 with high detection efficiency.

In step S10, device information for a plurality of sensors under test 120 may be recorded, as described above. In some examples, the sensors under test 120 may be provided with a barcode number for identifying each sensor under test 120. In some examples, the barcode number may be presented in the form of a barcode or a two-dimensional code. In some examples, the device information of the sensor under test 120 may include a bar code number. In some examples, the bar code number may be read using a reading device, such as a code scanning gun, to identify device information for the sensor under test 120. Therefore, the risk of introducing wrong data caused by manual entry errors can be effectively reduced, and the detection efficiency can be improved. In some examples, the device information of the sensor under test 120 may also include at least a device type, a protocol version number, a communication mode, a communication address, and the like. Thereby, various kinds of device information of the sensor to be measured can be obtained. For a specific description, reference may be made to a related description of the recording unit 111 in the internet of things test platform 110, and details are not repeated here.

In step S20, the auxiliary device 220 may be controlled to establish a test environment based on the test task, as described above. Specifically, the auxiliary equipment 220 may be controlled based on the test tasks to establish a test environment for each sensor under test 120. In some examples, the test tasks may be user created. In some examples, the auxiliary device 220 and each sensor under test 120 may be connected to and communicate with the internet of things test platform 110 through a network connection via a network device. In this case, each of the sensor under test 120 and the auxiliary device 220 may be connected to the internet of things test platform 110, and the internet of things test platform 110 may control the auxiliary device 220 to establish a test environment. The detailed description may refer to the communication unit 112 and the network device 310 in the internet of things testing platform 110.

In some examples, the communication mode of each sensor under test 120 may be converted to a communication standard mode. In some examples, the communication mode may include at least one of a wireless mode, a wired serial mode, and an internet port mode. In some examples, the communication standard mode may be a portal mode. In this case, the communication mode of the sensor under test 120 can be uniformly converted into the communication standard mode. Therefore, subsequent communication with the internet of things testing platform 110 based on the communication standard mode can be facilitated. The detailed description may refer to the related description of the communication mode switching device in the detection system 300.

In some examples, the test task may be to verify whether each sensor under test 120 meets a detection item of a preset requirement based on the device information of the sensor under test 120. The detailed description can be referred to the related description of the test unit 113 in the internet of things test platform 110. In this embodiment, the description of the detection item in the detection method may specifically refer to the above description of the detection item. In some examples, a test task may be created based on the detection items, the device information of the sensor under test 120, and the auxiliary device 220 to which the sensor under test 120 corresponds. For a detailed description, reference may be made to a related description of the management unit 116 in the internet of things testing platform 110, and details are not repeated here.

In step S30, as described above, a plurality of sensors under test 120 may be placed in a test environment and data information of each sensor under test 120 in the test environment may be received to obtain a test result. For a detailed description, reference may be made to the related description of the management unit 116, the communication unit 112, and the testing unit 113 in the internet of things testing platform 110, and details are not described herein again.

In some examples, a user login and obtaining user information may be performed before other operations are performed. For a detailed description, reference may be made to a related description of the login unit 114 in the internet of things testing platform 110, and details are not repeated here.

In some examples, after recording the device information of the plurality of sensors under test 120 (step S10), the plurality of sensors under test 120 may be assembled, preliminarily inspected, and batched. Thus, a plurality of sensors to be measured can be assembled, preliminarily inspected, and batched. For a specific description, reference may be made to a related description of the unit to be detected 115 in the internet of things testing platform 110, and details are not described herein.

In some examples, after step S30, a detection report may be generated based on the test results described above. In some examples, the test report may include at least one of a test conclusion, test result details, and statistical analysis results. Thereby, a detection report can be generated based on the test result. For a specific description, reference may be made to a related description of the generating unit 117 in the internet of things testing platform 110, and details are not repeated here.

In some examples, after step S30, the sensor under test 120 may be classified based on the test results. Specifically, a test result may be obtained based on the device information of the sensor under test 120, and then the sensor under test 120 may be classified based on the test result. Thus, the sensors under test can be classified based on the test results. In some examples, the device information of the sensor under test 120 identified by the reading apparatus may be acquired, and a test result may be acquired based on the device information of the sensor under test 120, and then the sensor under test 120 may be classified based on the test result. For a detailed description, reference may be made to the related description of the classification unit 118 in the internet of things testing platform 110, and details are not repeated here.

While the present disclosure has been described in detail in connection with the drawings and examples, it should be understood that the above description is not intended to limit the disclosure in any way. Those skilled in the art can make modifications and variations to the present disclosure as needed without departing from the true spirit and scope of the disclosure, which fall within the scope of the disclosure.

Claims

1. A detection system of batch detection sensors for automatically identifying equipment information is characterized by comprising an Internet of things test platform, at least one auxiliary equipment and network equipment; the Internet of things testing platform comprises a recording unit, a communication unit and a testing unit, wherein the recording unit is used for recording equipment information of a plurality of sensors to be tested, at least one auxiliary equipment and each sensor to be tested are connected with the communication unit through the network equipment through network connection and are in communication, the testing unit controls the at least one auxiliary equipment through the communication unit based on a testing task created by a user to establish a testing environment for each sensor to be tested, the sensor to be tested is arranged in the testing environment established by the auxiliary equipment, the testing unit receives data information of each sensor to be tested under the testing environment to obtain a testing result, the testing task is a testing item for verifying whether the sensor to be tested accords with a preset requirement based on the equipment information of each sensor to be tested, the system comprises a sensor to be tested, a management unit and a classification unit, wherein the sensor to be tested is provided with a bar code number used for identifying each sensor to be tested, the Internet of things test platform further comprises a reading device, the management unit and the classification unit, the reading device is used for reading the bar code number to identify the equipment information of the sensor to be tested, the equipment information of the sensor to be tested comprises the bar code number, the management unit acquires the equipment information of the sensor to be tested identified by the reading device, the test task is established by the auxiliary equipment corresponding to the sensor to be tested based on a detection item, the equipment information of the sensor to be tested and the equipment information of the sensor to be tested, the classification unit acquires the test result based on the equipment information of the sensor to be tested, and then the sensor to be tested is classified based on the test result.

2. The detection system of claim 1, wherein:

the detection system further comprises communication mode conversion equipment, wherein the communication mode conversion equipment is used for converting the communication mode of each sensor to be detected into a communication standard mode, the communication mode comprises at least one of a wireless mode, a wired serial port mode and a network port mode, and the communication standard mode is the network port mode.

3. The detection system of claim 1, wherein:

the equipment information of the sensor to be tested is input into an equipment information file according to a preset template, then the equipment information file is imported into the Internet of things test platform through the recording unit, and the bar code number corresponding to the sensor to be tested is automatically input into the equipment information file through the reading device.

4. The detection system of claim 1, wherein:

the device information of the sensor to be tested at least comprises a device type, a protocol version number, a communication mode and a communication address, wherein the communication address is used for determining the only sensor to be tested in the communication process, and the data information sent to the test unit by the sensor to be tested comprises the communication address of the sensor to be tested.

5. The detection system of claim 1, wherein:

the auxiliary equipment comprises at least one of a standard current generator, a temperature and humidity experiment box, a standard blackbody source, a smoke generator, an infrared emitter, a pressure gauge, a power consumption meter and a frequency spectrograph.

6. The detection system of claim 1, wherein:

the Internet of things testing platform further comprises a login unit used for a user to login and acquire user information; the management unit is further used for starting test preparation, starting execution of the test tasks and displaying the test results of the test tasks, the management unit enables the communication unit to be connected with the plurality of sensors to be tested and the at least one auxiliary device through network connection and communicates by starting the test preparation, the management unit enables the test unit to start execution of the detection items corresponding to the test tasks by starting the execution of the test tasks, and the management unit obtains and displays the test results of the test unit.

7. The detection system of claim 1, wherein:

the Internet of things testing platform further comprises a generating unit, wherein the generating unit generates a detection report based on the testing result, and the detection report comprises at least one of a detection conclusion, testing result details and a statistical analysis result.

8. The detection system of claim 1, wherein:

the detection items comprise at least one of protocol detection, minimum starting current detection, measurement precision detection, first packet receiving time detection, packet sending interval time length detection, large current impact detection, aging detection, alarm function detection, transmission power detection and power consumption detection.

9. The detection system of claim 8, wherein:

if the detection item is the protocol detection, if the test unit receives the data information of the sensor to be detected within the preset time and analyzes the target information, the test result of the sensor to be detected in the protocol detection is qualified;

if the detection item is the minimum starting current detection, the auxiliary equipment at least provides sequentially increasing induced current so as to start the sensor to be detected and send data information to the test unit, and if the corresponding target induced current is in the range of qualified starting current when the test unit receives the data information sent by the sensor to be detected for the first time, the test result of the sensor to be detected in the minimum starting current detection is qualified;

if the detection item is the measurement precision detection, the auxiliary equipment at least provides measured information, and if the test unit receives the data information of the sensor to be detected and analyzes the measured information from the data information to be detected to be in a qualified range, the test result of the sensor to be detected in the measurement precision detection is qualified;

if the detection item is the first packet receiving time detection, if the test unit receives the data information of the sensor to be detected in a qualified time period, the test result of the sensor to be detected in the first packet receiving time detection is qualified;

if the detection item is the packet sending interval duration detection and adopts constant value detection, the auxiliary equipment at least provides constant measured information, the test unit obtains the maximum interval duration of two adjacent groups of data information intervals from the received data information of the sensor to be detected, and if the maximum interval duration is within a preset time range, the detection result of the sensor to be detected in the packet sending interval duration detection and the constant value detection is qualified;

if the detection item is the packet sending interval duration detection and adopts variable value detection, the auxiliary equipment at least provides changed measured information, and if the test unit receives data information after the measured information is changed every time and before the measured information is changed next time, the test result of the sensor to be tested in the packet sending interval duration detection and adopts variable value detection is qualified;

if the detection item is the high-current impact detection, the auxiliary equipment at least provides induction current in a preset range, and if the test unit receives data information of the sensor to be detected in the retention time of the induction current, the test result of the sensor to be detected in the high-current impact detection is qualified;

if the detection item is the aging detection, the auxiliary equipment at least provides multiple groups of measured information, and if the test unit receives the data information of the sensor to be tested in each group of measured information, the test result of the sensor to be tested in the aging detection is qualified;

if the detection item is the alarm function detection, the auxiliary equipment at least provides measured information meeting alarm requirements, and if the test unit receives the data information of the sensor to be detected and analyzes the alarm information, the test result of the sensor to be detected in the alarm function detection is qualified;

if the detection item is the transmission power detection, the auxiliary equipment at least comprises equipment for acquiring transmission power, the test unit acquires target transmission power through the equipment for acquiring transmission power and compares the target transmission power with a qualified frequency range, and if the target transmission power is in the qualified frequency range, a test result of the sensor to be tested in the transmission power detection is qualified;

if the detection item is the power consumption detection, the auxiliary device at least comprises a device for acquiring power consumption, the test unit acquires target power consumption through the device for acquiring power consumption and compares the target power consumption with a qualified power consumption range, and if the target power consumption is within the qualified power consumption range, a test result of the sensor to be tested in the power consumption detection is qualified.

10. A method for batch testing sensors to automatically identify device information, comprising: recording equipment information of a plurality of sensors to be tested; controlling the auxiliary equipment based on the test task to establish a test environment for each sensor to be tested; placing the sensors to be tested in a test environment established by the auxiliary equipment, and receiving data information of each sensor to be tested in the test environment to obtain a test result; and obtaining the test result based on the device information of the sensor to be tested, and classifying the sensor to be tested based on the test result, wherein the test task is created based on the detection item, the device information of the sensor to be tested, and the auxiliary device corresponding to the sensor to be tested, the test task is a detection item for verifying whether the sensor to be tested meets the preset requirement based on the device information of each sensor to be tested, the sensor to be tested is provided with a bar code number for identifying each sensor to be tested, the device information of the sensor to be tested is identified by reading the bar code number, and the device information of the sensor to be tested comprises the bar code number.