CN113029223B

CN113029223B - Detection device for batch detection of sensors based on network communication

Info

Publication number: CN113029223B
Application number: CN202110269852.0A
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: Shandong Huake Information Technology Co ltd
Priority date: 2020-09-15
Filing date: 2021-03-12
Publication date: 2023-04-07
Anticipated expiration: 2041-03-12
Also published as: CN113029224A; CN113218432A; CN112903120A; CN113030388A; CN115235634A; CN112903120B; CN113029223A; CN112964394A; CN220729314U; CN113029329A; CN115235633A; CN113063454A

Abstract

The utility model discloses a detection apparatus for detect sensor in batches based on network communication, it includes thing networking test platform and communication mode conversion equipment, wherein, thing networking test platform includes the recording unit, communication unit and test element, the recording unit is used for recording the equipment information of the sensor that awaits measuring, auxiliary assembly and the sensor that awaits measuring are connected and carry out data interaction with communication unit through network equipment by the internet access based on network communication interface, the test element is based on test task and controls auxiliary assembly through communication unit's network communication interface in order to establish the test environment to the sensor that awaits measuring and receive the data information of the sensor that awaits measuring under the test environment and receive auxiliary assembly's feedback information in order to obtain the test result, communication mode conversion equipment is used for turning into the communication mode of each sensor that awaits measuring into the net gape mode. Therefore, the detection efficiency is high, and the detection can be carried out on various sensors to be detected.

Description

Detection device for batch detection of sensors based on network communication

Technical Field

The present disclosure relates generally to a detection apparatus for batch detection of sensors based on network communication.

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, telemetry, 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 sensor detection system, the sensors are 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 sensors. For example, patent document 1 (CN 210243033U) 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 detection apparatus for detecting sensors in batches by network communication, which is capable of detecting a plurality of types of sensors to be detected and has high detection efficiency.

Therefore, the invention provides a detection device for batch detection sensors based on network communication, which comprises an internet of things test platform and a communication mode conversion device, wherein the internet of things test platform is provided with a recording unit, a communication unit and a test unit, the recording unit is used for recording device information of a plurality of sensors to be detected, the communication unit is provided with a network communication interface, the communication unit is connected with at least one auxiliary device and each sensor to be detected through network connection and performs data interaction based on the network communication interface, the test unit controls the at least one auxiliary device through the network communication interface of the communication unit based on a test task to establish a test environment for each sensor to be detected, the sensors to be detected are arranged in the test environment established by the auxiliary device, the test unit receives data information of each sensor to be detected in the test environment and receives feedback information of the auxiliary device through the network communication interface of the communication unit, and obtains a test result based on the data information and the feedback information, and the test task is used for verifying whether the sensor to be detected meets a preset detection project based on the device information of each sensor to be detected; the communication mode conversion equipment is used for converting the communication mode of each sensor to be tested into a communication standard mode, the communication mode comprises at least one of a wireless mode, a wired serial port mode and an internet access mode, and the communication standard mode is the internet access mode. Under the condition, the auxiliary equipment is 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, unify the network interface mode and perform data interaction by using the network communication interface. Therefore, the detection efficiency is high, and the detection can be carried out on various sensors to be detected.

In addition, in the detection apparatus according to the present disclosure, optionally, the communication mode conversion device converts the communication mode of the sensor to be detected whose communication mode is the wired serial port mode into the network port mode through a serial port to network port module, and the serial port to network port module forwards the interactive data between the sensor to be detected and the communication unit in a transparent transmission manner. Therefore, communication with the Internet of things test platform based on the Internet access mode can be conveniently performed subsequently.

In addition, in the detection apparatus according to the present disclosure, optionally, the data interaction mode includes a command response mode and an active periodic transmission mode, where the command response mode is that the communication unit transmits a control command to the auxiliary device or the sensor to be detected, the auxiliary device or the sensor to be detected responds to the control command and returns corresponding data, and the active periodic transmission mode is that the auxiliary device or the sensor to be detected actively transmits corresponding data to the communication unit at preset intervals. Therefore, data interaction in multiple modes can be supported.

In addition, in the detection apparatus according to the present disclosure, optionally, the device information of the sensor to be tested further includes at least a device type, a protocol version number, a communication mode, and a communication address, where the communication address is used to determine a unique sensor to be tested in a communication process, and the data information sent by the sensor to be tested to the test unit includes the communication address of the sensor to be tested. Thereby, various kinds of device information of the sensor under test can be obtained.

In addition, in the detection apparatus according to 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 spectrograph. Therefore, corresponding auxiliary equipment can be provided for various sensors to be tested.

In addition, in the detection apparatus according to the present disclosure, optionally, the internet of things test platform further includes a management unit, the management unit is configured to load a test task and select the test task, start a test preparation, start execution of the test task, and display the test result of the test task, the management unit starts the test preparation to enable the communication unit to be connected to the plurality of sensors to be tested and the at least one auxiliary device via a network and perform data interaction, the management unit starts execution of the test task to enable the test unit to start execution of a detection item corresponding to the test task, and the management unit obtains and displays the test result of the test unit. Thus, the test task can be managed.

In addition, in the detection device related to this disclosure, optionally, the internet of things test platform further includes a printing unit, and the printing unit is used for docking a printing interface of a printer to print out the test result. Thereby, the test result can be printed out.

In addition, in the detection apparatus according to the present disclosure, optionally, the network communication interface is based on a socket communication technology, and the auxiliary device and the sensor to be detected are connected to and perform data interaction with the communication unit through an internet protocol address and a port number bound to the network communication interface, respectively. Thus, data interaction can be performed based on the socket communication technology.

In addition, in the detection apparatus according to 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. Thus, the sensor under test can be detected more comprehensively.

In addition, in the detection apparatus according to 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 detected within a preset time and parses out 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, and 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 a plurality of groups of measured information, and if the test unit receives the data information of the sensor to be detected in each group of measured information, the test result of the sensor to be detected 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.

According to the detection device, the detection device for detecting the sensors in batches based on the network communication can be provided, wherein the detection device can be used for detecting various sensors to be detected, and the detection efficiency is higher.

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 for batch detection sensors based on network communication according to an example of the present disclosure.

Fig. 2 is a block diagram illustrating a detection apparatus for batch detection sensors based on network communication according to an example of the present disclosure.

Fig. 3 is a block diagram illustrating an example system environment for a batch detection sensor based network communication detection system in accordance with examples of the present disclosure.

Fig. 4 is a schematic diagram illustrating a closed loop detection flow according to an example of the present disclosure.

Fig. 5 is a block diagram illustrating a detection system for batch detection sensors based on network communication in accordance with an example of the present disclosure.

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

Fig. 7 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. 8 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. 9 is a block diagram illustrating a detection system for batch detection sensors based on network communication in accordance with an example of the present disclosure.

Fig. 10 is a flowchart illustrating a detection method of a batch detection sensor based on network communication according to 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 proportions 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" and "comprising," and any variations thereof, in this disclosure, such that 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.

Fig. 1 is a schematic diagram illustrating an application scenario of a detection system for batch detection sensors based on network communication according to an example of the present disclosure. Fig. 2 is a block diagram illustrating a detection apparatus for batch detection sensors based on network communication according to an example of the present disclosure.

In some examples, the detection system 300 (which may also be sometimes referred to simply as the detection system 300) of the batch detection sensor based on network communication 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), and the internet of things test platform 110 may be applied to the detection device 30 in the form of embedded computer program instructions and executed by the detection device 30, that is, the detection device 30 includes the internet of things test platform 110. 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 inspection area 140, the testing area 150 and the classification area 160 in sequence to complete the entire detection process. In some examples, each workspace completes the detection of multiple sensors under test 120 using the internet of things test platform 110.

In some examples, when multiple sensors to be tested 120 are in the warehousing area 130, each sensor to be tested 120 may be attached with a barcode number having a unique identifier (i.e., the sensor to be tested 120 may be provided with a barcode number for identifying each sensor to be tested 120). In some examples, the barcode number may be presented in the form of a barcode or 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 communication.

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) of the internet of things test platform 110. 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 unit 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 unit 119 may read the bar code number to identify device information of the sensor under test 120. In some examples, the reading unit 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 bar code number affixed to each sensor under test 120 may be read using reading unit 119 to facilitate selection of the corresponding sensor under test 120 into test area 150.

In some examples, after assembly, preliminary inspection, and batching are completed, various batches of sensors under test 120 may enter 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 various batches may be selected for detection by the reading unit 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, in classifying region 160, classification unit 118 (described later) may obtain a test result based on device information of sensor under test 120 and then classify 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 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, detection device 30 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 detection device 30 may be an embedded device such as an upper computer. As shown in fig. 2, in some examples, the detection apparatus 30 may further include a communication mode conversion device 320 (described later).

FIG. 3 is a block diagram illustrating an exemplary system environment for a batch test sensor based on network communications detection system according to examples of the present disclosure. Fig. 4 is a schematic diagram illustrating a closed loop detection flow in accordance with 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 (Internet of Things, IOT for short) 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. 3 shows a system environment 200. In the system environment 200, the internet of things test platform 110 of the detection apparatus 30, the plurality of sensors 120 to be tested, 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, such as a personal computer, may access the internet of things testing platform 110 of the detection apparatus 30 through a browser or by installing a corresponding desktop client or mobile client of the internet of things testing platform 110. Therefore, the test task can be conveniently uploaded to the detection device 30 or the test result can be conveniently checked. 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 interact with the internet of things test platform 110 in data.

In some examples, as shown in fig. 4, the output quantity, e.g., current, of the auxiliary device 220 may be automatically controlled by the internet of things testing platform 110 of the detection apparatus 30. The output may act on the sensor under test 120 to trigger the sensor under test 120 to generate data information and be acquired by the internet of things test platform 110. The internet of things testing platform 110 may obtain the testing 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. Thus, a closed-loop automatic detection flow can be formed.

The following describes the detection system 300 according to the present disclosure in detail with reference to the drawings. Fig. 5 is a block diagram illustrating a detection system for batch detection sensors based on network communication according to an example of the present disclosure. In some examples, as shown in fig. 5, 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 test platform 110 can be applied to the detection device 30. In some examples, the detection system 300 may include the detection device 30. 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 under test 120. The communication unit 112 may be used to interface with and perform data interaction with the various sensors under test 120 and auxiliary devices 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. 5). In some examples, the recording unit 111 may be used to record device information for a plurality of sensors under test 120. The sensor under test 120 is a device or apparatus that can sense the measured information and convert 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. The smart sensor may include a microprocessor 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 can be acquired by reading the bar code number set by the sensor under test 120.

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 120 to be tested of different manufacturers into communication protocols supported by the internet of things test platform 110. Therefore, the compatibility of the internet of things testing 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 internet of things test platform 110 may be updated incrementally to test the sensor under test 120 based on the new communication protocol. 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 (action 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, the data information of the sensor under test 120 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 lot number, a time of arrival, a time of warehousing, a bar code number, a device version number, and a home of the manufacturer. Thereby, various pieces of device information of the sensor under test 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. 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. 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. 5). In some examples, the communication unit 112 may interface and perform data interaction with the various sensors under test 120 and auxiliary devices 220. In some examples, the communication unit 112 may have a network communication interface. In some examples, the communication unit 112 may connect and perform data interaction with the respective sensors under test 120 and the auxiliary device 220 based on a network communication interface. In some examples, the auxiliary device 220 may connect with and interact with the communication unit 112 via a network connection through the network device 310 over a network communication interface. The auxiliary device 220 may include at least one device. In some examples, the sensor under test 120 may be connected to and interact with the communication unit 112 via a network connection through the network device 310 over a network communication interface.

In some examples, the manner of data interaction may include a command response manner and an active periodic transmission manner. In some examples, the command responding manner may be that the communication unit 112 sends a control command to the auxiliary device 220 or the sensor under test 120, and the auxiliary device 220 or the sensor under test 120 responds to the control command and returns corresponding data. The control command is, for example, a command to acquire an output quantity of the auxiliary device 220 or a command to acquire a value of measured information sensed by the sensor to be measured 120. In some examples, the active periodic transmission mode may be that the accessory 220 or the sensor under test 120 actively transmits corresponding data to the communication unit 112 at preset intervals, for example, 5 minutes. For example, the auxiliary device 220 reports the current output quantity at preset intervals, or the sensor to be measured 120 reports the value of the currently sensed measured information at preset intervals. Therefore, data interaction in multiple modes can be supported.

In some examples, the network communication interface may be based on a Socket communication technology. In some examples, the auxiliary device 220 and the sensor under test 12 may establish a connection with the communication unit 112 and perform data interaction through an Internet Protocol Address (IP Address) and a port number bound to a network communication interface, respectively. Thus, data interaction can be performed based on the socket communication technology.

In some examples, the internet of things testing platform 110 may include a testing unit 113 (see fig. 5). The test unit 113 may be used to control the auxiliary device 220 to establish a test environment and to acquire test results of the respective sensors 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. In some examples, the test unit 113 may control the at least one auxiliary device 220 through the network communication interface of 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 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, the testing tasks may be managed by the terminal 230 and loaded into the detection apparatus 30. In some examples, a management unit 116 (described later) of the internet of things test platform 110 may be used to load the testing tasks. In some examples, a test task may include one or more detection 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 this case, 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 according to 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 laboratory 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, 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 results may be the results of each sensor under test 120 in each test item, e.g., 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, and 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, the test unit 113 may receive data information of each sensor under test 120 in the test environment and receive feedback information of the auxiliary device 220 and obtain a test result based on the data information and the feedback information. In some examples, the test unit 113 may receive data information or feedback information through a network communication interface of the communication unit 112. In some examples, the feedback information may be actual output quantity or acquired data provided by the auxiliary device 220. For example, for a current device, the feedback information may be the current actually provided by the current device, and for a power consumption meter, the feedback information may be the power consumption obtained by the power consumption meter. In this case, the auxiliary device 220 feeds back the provided actual output quantity to the testing platform 110 through feedback information to check whether the output quantity controlled by the testing platform 110 of the internet of things is accurate. Therefore, the detection accuracy can be improved.

In some examples, the test result is obtained by comparing the theoretical effect corresponding to the test environment, the theoretical effect corresponding to the feedback information, and the actual effect corresponding to the data information. For example, on the basis that the above-mentioned test environment is used for measuring accuracy detection of the temperature sensor, if the feedback information shows that the provided fixed temperature is actually 6 ℃, and the corresponding theoretical effect is that the measured value of the temperature sensor is, for example, 5.5 ℃ to 6 ℃ in a specific interval, the target temperature value is in the specific interval, and the temperature sensor detects that the test result of the detection item is qualified in the measuring accuracy. In some examples, when the theoretical effect of the feedback information is not consistent with the theoretical effect corresponding to the test environment, it is necessary to confirm whether there is a problem with the auxiliary device 220. In this case, the determination is made in conjunction with the feedback information of the auxiliary device 220. This can further improve the accuracy of detection.

In some examples, as described above, the detection system 300 may include the auxiliary device 220 (see fig. 5). 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 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. Specifically, in some examples, the accessory 220 may include at least one of a standard current generator, a humiture 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. Therefore, the network device 310 can be connected with the internet of things test platform 110 and perform data interaction. In some examples, the communication mode of the auxiliary device 220 may be a serial mode. Under the circumstance, the serial port mode can be converted into the internet port mode and then connected with the network device 310, so that the internet of things testing platform 110 can be connected and data interaction can be carried out.

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 parameters for controlling the auxiliary device 220 to provide sequentially increasing sense currents and acceptable start currents, for example, the test parameters may be a start sense current, a hold time period, a step current, a number of steps, an acceptable 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 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 therefrom 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 the packet transmission interval duration detection and the detection is performed under the constant value, the auxiliary device 220 may provide at least constant measured information, the test unit 113 may obtain the 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 the preset time range, the test result of the sensor to be tested 120 in the packet transmission interval duration detection and the detection under the constant value 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 initial 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 number of 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 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, the test unit 113 acquires a target transmission power through the device for acquiring transmission power and compares the target transmission power with the qualified frequency range, and if the target transmission power is within the qualified frequency range, the 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 accessory 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. 5). 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 can be connected to and communicate with the communication unit 112 via a network. 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. 6 is a schematic diagram showing a network structure of a local area network-based detection system according to an example of the present disclosure. In some examples, in local area network based detection system 300, 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. 6 shows a network structure of the local area network based detection system 300. As shown in fig. 6, the sensor under test 120 and the auxiliary device 220 may be connected to and perform data interaction with the internet of things testing platform 110 through a network device 310, such as a switch, respectively.

Fig. 7 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. 7 shows a network structure of the wide area network-based detection system 300. As shown in fig. 7, the sensor under test 120 and the auxiliary device 220 may be respectively connected to a switching device 311, such as a switch, and then the switching device 311 may be connected to the internet of things test platform 110 through a routing device 312, such as a router. Examples of the disclosure are not limited thereto, and in other examples, the internet of things test platform 110 may not be connected through a network. For example, the sensor under test 120 and the auxiliary device 220 may be connected through a serial port provided in the detection apparatus 30.

Fig. 8 is a schematic diagram illustrating another network structure of a local area network-based detection system according to an example of the present disclosure. As described above, the detection apparatus 30 may further include the communication mode conversion device 320. In this case, the detection system 300 may include the communication mode conversion device 320 of the detection apparatus 30. 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. 8, 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, wireless mode or wired serial mode of sensor under test 120 may be converted to internet port mode to connect sensor under test 120 to network device 310. In some examples, the communication mode transition device 320 may be a concentrator. The concentrator can collect data information of the sensor under test 120 with a wireless mode, connect with the network device 310 and forward the data information in a transparent mode. Additionally, in some examples, the communication mode conversion device 320 may be a serial to network port module. Specifically, the serial port to network port module may convert the communication mode of the sensor 120 to be tested, of which the communication mode is the wired serial port mode, into the network port mode, so as to connect the sensor 120 to be tested to the network device 310. Therefore, subsequent communication with the internet of things test platform 110 based on the internet access mode can be facilitated. In some examples, the serial port to network module may forward the interaction data between the sensor to be tested 120 and the communication unit 112 in a transparent transmission manner. This reduces the coupling. In some examples, the sensor under test 120 having the portal mode may be directly connected with the network device 310. In this case, the sensor under test 120 that is converted into the portal mode may be connected to the communication unit 112 through the network device 310 based on the network communication interface and perform data interaction.

Fig. 9 is a block diagram illustrating a detection system for batch detection sensors based on network communication according to an example of the present disclosure. In some examples, as shown in fig. 9, 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 further include at least one of a login account number, a username, a login time, a login internet protocol address (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. 9). 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. In some examples, 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. In some examples, inspection information obtained from the preliminary inspection may be submitted to the internet of things testing platform 110 by the suspect unit 115.

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 may be identified by the reading unit 119 such as a code scanning gun, and then a bar code number is identified via the reading unit 119 such as a 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 unit 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. 9, the internet of things testing platform 110 may further include a management unit 116. As described above, the administration unit 116 may be used to load test tasks. In some examples, the management unit 116 may select a test task based on the detection item, the device information of the sensor under test 120, and the auxiliary device 220 corresponding to the sensor under test 120, that is, select a corresponding test task from the loaded test tasks based on the detection item, the device information of the sensor under test 120, and the auxiliary device 220 corresponding to the sensor under test 120. In some examples, the management unit 116 may obtain device information for the sensor under test 120 identified by the reading unit 119 in selecting a test task. Specifically, the barcode number provided on the sensor under test 120 may be scanned by the reading unit 119, such as a barcode scanning gun, to identify the device information of the sensor under test 120. In some examples, the management unit 116 may be used to fine tune the loaded test tasks.

In some examples, the management unit 116 may select a test task based on the detection type, the detection items, 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 corresponding browsable or operable units, for example, a unit for selecting a testing task, according to the authority 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 may enter a unit corresponding to the detection task according to the detection type selected by the user. In the unit of the test task, the user may select the test task based on the test item, 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.

Additionally, in some examples, the management unit 116 may be used to initiate test preparation. In some examples, the management unit 116 may enable the communication unit 112 to interface with the plurality of sensors under test 120 and the at least one auxiliary device 220 and perform data interaction by initiating test preparation. The plurality of sensors under test 120 and the at least one auxiliary device 220 may be connected to and communicate with the communication unit 112 via a network. 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 test unit 113 to start executing the test items corresponding to the test tasks by initiating execution of the test tasks. 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. 9). 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 also include a printing unit (not shown). In some examples, the printing unit may be to interface a printing interface of a printer to print out the test results. Thereby, the test result can be printed out. In some examples, the printing unit may be to interface a print interface of a printer to print out the detection report.

In some examples, the internet of things testing platform 110 may further include a classification unit 118 (see fig. 9). 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 unit 119 and acquire a test result based on the device information of the sensor under test 120.

In some examples, as shown in fig. 9, the internet of things testing platform 110 may further include a reading unit 119. The reading unit 119 may be used to read the bar code number to identify 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 unit 119 may include, but is not limited to, a code scanning gun, a scanner, or a mobile application. In some examples, the connection mode of the reading unit 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 120 to be tested are connected to the internet of things testing platform 110 of the detection apparatus 30 through the network device 310 via a network communication interface, and perform data interaction, the internet of things testing platform 110 controls the auxiliary device 220 to establish a testing environment of the multiple sensors 120 to be tested, receive data information of the multiple sensors 120 to be tested in the testing environment, receive feedback information of the auxiliary device, and obtain a testing result based on the data information and the feedback information, and further convert a communication mode of the sensors 120 to be tested into an internet access mode based on the communication mode conversion device 320 of the detection apparatus 30. 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 relatively comprehensive detection on the sensor under test 120 and unify the internet access mode and perform data interaction by using the network communication interface. This enables detection of a plurality of types of sensors to be measured 120, and the detection efficiency is high.

Hereinafter, the detection method of the batch detection sensor based on network communication according to the present disclosure is described in detail with reference to fig. 10. The detection method of the batch detection sensor based on network communication related to the present disclosure may sometimes be simply referred to as a detection method. The detection method according to the present disclosure is applied to the detection system 300 described above. Fig. 10 is a flowchart illustrating a detection method of a batch detection sensor based on network communication according to an example of the present disclosure.

In some examples, the detection method may include recording device information of a plurality of sensors under test (step S10), controlling an auxiliary device to establish a test environment based on a test task (step S20), and placing the plurality of sensors under test in the test environment and receiving data information of each sensor under test in the test environment and feedback information of the auxiliary device to obtain a test result (step S30). In this case, the auxiliary device 220 may be controlled to 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 the sensor under test 120 with high detection efficiency.

In step S10, device information of a plurality of sensors 120 under test may be recorded. 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. The detailed description may refer to the related description of the recording unit 111 in the internet of things testing platform 110.

In step S20, the auxiliary device 220 may be controlled to establish a test environment based on the test task. 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 auxiliary device 220 and each sensor under test 120 may be connected and data-interacted with the internet of things test platform 110 through a network connection via a network device based on a network communication interface. 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 320 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, the test tasks may be pre-loaded into the detection device 30. In some examples, the loaded test tasks may be selected 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. The detailed description can be referred to the related description of the management unit 116 in the internet of things testing platform 110.

In step S30, a plurality of sensors to be tested 120 may be placed in a test environment and data information of each sensor to be tested 120 in the test environment and feedback information of the auxiliary device 220 may be received to obtain a test result. The detailed description may refer to the related descriptions of the management unit 116, the communication unit 112, and the testing unit 113 in the internet of things testing platform 110.

In some examples, a user login and obtaining user information may be performed before other operations are performed. The detailed description may refer to the related description of the login unit 114 in the internet of things testing platform 110. 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. The detailed description can be referred to the relevant description of the unit under inspection 115 in the internet of things testing platform 110.

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. In some examples, test results or detection reports may also be printed. For a detailed description, reference may be made to the related description of the generating unit 117 and the printing unit in the internet of things testing platform 110, and details are not described herein again. 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. The detailed description may refer to the related description of the classification unit 118 in the internet of things testing platform 110.

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. Variations and changes may be made as necessary by those skilled in the art without departing from the true spirit and scope of the disclosure, which fall within the scope of the disclosure.

Claims

1. The detection device for the sensors to be detected in batches based on the network communication is characterized by comprising an internet of things test platform and communication mode conversion equipment, wherein the internet of things test platform is provided with a recording unit, a communication unit and a test unit, the recording unit is used for recording equipment information of a plurality of sensors to be detected, the communication unit is provided with a network communication interface, the communication unit is connected with at least one auxiliary equipment and the sensors to be detected through network connection through the network equipment based on the network communication interface and performs data interaction, the test unit controls output quantity of the at least one auxiliary equipment through the network communication interface of the communication unit based on a test task to establish a test environment based on different test parameters for each sensor to be detected, the test environment is a physical environment comprising at least one of temperature, humidity, current, smoke, infrared, pressure and frequency spectrum, the sensors to be detected are arranged in the test environment established by the auxiliary equipment, the test unit receives data information sent by triggering of each sensor to be detected in the test environment through the network communication interface of the communication unit and receives feedback information of the auxiliary equipment, and verifies whether the test result of each sensor to be detected accords with a preset test item of the corresponding sensor based on the test task and selects whether the test information of the corresponding sensor to be detected; the communication mode conversion equipment is used for converting the communication mode of each sensor to be tested into a communication standard mode, the communication mode comprises at least one of a wireless mode, a wired serial port mode and an internet access mode, and the communication standard mode is the internet access mode;

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;

the detection items comprise protocol detection, minimum starting current detection, measurement precision detection, first packet receiving time detection, packet sending interval time detection, large current impact detection, aging detection, alarm function detection, transmitting power detection and power consumption detection, and different detection items correspond to different test parameters;

in the protocol detection, the test parameters at least comprise preset time, and if the test unit receives the data information of the sensor to be tested within the preset time and analyzes target information, the test result of the sensor to be tested in the protocol detection is qualified;

in the minimum starting current detection, the test parameters are initial induced current, holding time, step current, step times and qualified starting current, the test unit controls the auxiliary equipment to provide induced current from the initial induced current so as to start the sensor to be tested and send data information to the test unit, the induced current of the step current is increased after the induced current provided by the auxiliary equipment lasts for the holding time each time, the induced current is stopped to be provided after the step times are increased, and if the target induced current corresponding to the data information sent by the sensor to be tested for the first time is in the range of the qualified starting current when the test unit receives the data information sent by the sensor to be tested, the test result of the sensor to be tested in the minimum starting current detection is qualified;

in the measurement accuracy detection, the test parameters at least comprise different measured information and a qualified range provided by the auxiliary equipment, the test unit controls the auxiliary equipment to provide at least different measured information, if the test unit receives the data information of the sensor to be detected and respectively obtains the measured information of the sensor to be detected and the actual output quantity fed back by a device corresponding to the measured information, and the average values of the measured information and the actual output quantity are calculated and compared, so that whether the test result of the sensor to be detected in the measurement accuracy detection is qualified or not is judged by combining the qualified range;

in the first packet receiving time detection, the test parameters at least comprise qualified time length, and if the test unit receives the data information of the sensor to be tested in the qualified time length, the test result of the sensor to be tested in the first packet receiving time detection is qualified;

in the packet sending interval duration detection and the detection under the constant value, the test parameters at least comprise measured information, the holding duration of the measured information and a preset time range, the test unit controls the auxiliary equipment to at least provide the measured information which is constant and lasts for the holding duration, 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 tested, and if the maximum interval duration is within the preset time range, the test result of the sensor to be tested in the packet sending interval duration detection and the detection under the constant value is qualified;

in the packet sending interval duration detection and variable value detection, the test parameters at least comprise parameters for controlling the auxiliary equipment to provide changed measured information, the test unit controls the auxiliary equipment to provide at least the 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 variable value detection is qualified;

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

in the aging detection, the test parameters at least comprise a plurality of groups of measured information and the holding time of each group of measured information, the test unit controls the auxiliary equipment to sequentially provide at least each group of measured information and continuously correspond to the holding time, 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;

in the alarm function detection, the test parameters at least comprise measured information meeting the alarm requirement, the test unit controls the auxiliary equipment to at least provide the measured information meeting the alarm requirement, and if the test unit receives the data information of the sensor to be tested and analyzes the alarm information, the test result of the sensor to be tested in the alarm function detection is qualified;

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

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

2. The detection device according to claim 1, wherein:

the communication mode conversion equipment converts the communication mode of the sensor to be tested, of which the communication mode is the wired serial port mode, into the network port mode through a serial port to network port module, and the serial port to network port module forwards interactive data between the sensor to be tested and the communication unit in a transparent transmission mode.

3. The detection device according to claim 1, wherein:

the data interaction mode comprises a command response mode and an active period sending mode, the command response mode is that the communication unit sends a control command to the auxiliary equipment or the sensor to be detected, the auxiliary equipment or the sensor to be detected responds to the control command and returns corresponding data, and the active period sending mode is that the auxiliary equipment or the sensor to be detected actively sends corresponding data to the communication unit at preset intervals.

4. The detection device according to 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 device according to claim 1, wherein:

the Internet of things test platform further comprises a management unit, the management unit is used for loading a test task and selecting the test task, starting test preparation and starting execution of the test task and displaying the test result of the test task, the management unit is used for enabling the communication unit to be connected with the plurality of sensors to be tested and the at least one auxiliary device through network connection by starting the test preparation and carrying out data interaction, the management unit is used for enabling the test unit to start executing the test task and detecting items corresponding to the test task, and the management unit is used for obtaining the test result of the test unit and displaying the test result.

6. The detection device according to claim 1, wherein:

the Internet of things testing platform further comprises a printing unit, and the printing unit is used for butting a printing interface of a printer to print and output the testing result.

7. The detection device according to claim 1, wherein:

the network communication interface is based on a socket communication technology, and the auxiliary equipment and the sensor to be tested are connected with the communication unit through an internet protocol address and a port number bound to the network communication interface respectively and perform data interaction.