CN112903120A - Detection system and detection method for detecting infrared temperature sensors in batches - Google Patents

Abstract

The disclosure describes a detection system for detecting infrared temperature sensors in batches, which comprises an internet of things test platform, auxiliary equipment and network equipment; the Internet of things testing platform comprises a recording unit, a communication unit and a testing unit, wherein the recording unit is used for recording equipment information of a plurality of sensors to be tested, auxiliary equipment and each sensor to be tested are connected with the communication unit and communicate with the communication unit through network equipment, the testing unit controls the auxiliary equipment through the communication unit based on a testing task created by a user to establish a testing environment for each sensor to be tested, the sensor to be tested is arranged in the testing environment established by the auxiliary equipment, the testing unit receives data information of each sensor to be tested under the testing environment to acquire a testing result, and the auxiliary equipment comprises a temperature control device and a power consumption detection device. Under this condition, can detect infrared temperature sensor comparatively comprehensively and detection efficiency is higher.

Description

Detection system and detection method for detecting infrared temperature sensors in batches

Technical Field

The present disclosure relates generally to a detection system for batch detection of infrared temperature sensors and a detection method thereof.

Background

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

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

However, in the test apparatus described in patent document 1, it is necessary to wait for the temperature of the test tool to be balanced with the ambient temperature before starting the test, that is, the test environment needs to be manually prepared in advance and manually switched according to various test parameters of the test items. 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 system and a detection method thereof capable of detecting a sensor under test and detecting infrared temperature sensors in a batch manner with high detection efficiency.

Therefore, a first aspect of the disclosure provides a detection system for detecting infrared temperature sensors in batches, which is characterized by comprising an internet of things test platform, auxiliary equipment and network equipment; the Internet of things testing platform comprises a recording unit, a communication unit and a testing unit, wherein the recording unit is used for recording equipment information of a plurality of sensors to be tested, the auxiliary equipment and each sensor to be tested are connected and communicated with the communication unit through the network equipment through network connection, the testing unit controls the auxiliary equipment through the communication unit based on a testing task created by a user to establish a testing environment for each sensor to be tested, the sensor to be tested is arranged in the testing environment established by the auxiliary equipment, and the testing unit receives data information sent by each sensor to be tested under the testing environment to obtain a testing result, wherein the sensor to be tested is an infrared temperature sensor, the testing task is used for verifying whether the sensor to be tested accords with a detection item required by presetting based on the equipment information of each sensor to be tested, the detection items comprise at least one of protocol detection, measurement precision detection and power consumption detection, and the auxiliary equipment comprises a temperature control device for providing ambient temperature and a power consumption detection device for detecting the power consumption of the sensor to be detected. In this case, the auxiliary device may be controlled to establish a test environment based on different test parameters for the sensor under test so as to detect the sensor under test more comprehensively. Therefore, the sensor to be detected can be detected, and the detection efficiency is high.

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

In addition, in the detection system according to the first aspect of the present disclosure, optionally, the device information of the sensor to be tested at least includes 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 to the test unit by the sensor to be tested includes the communication address of the sensor to be tested. Thereby, various kinds of device information of the sensor to be measured can be obtained.

In addition, in the detection system according to the first aspect of the present disclosure, optionally, if the detection item is protocol detection, the sensor to be tested is in a start state and sends data information to the test unit, and if the test unit receives the data information and parses target information therefrom, the test unit obtains that a test result of the sensor to be tested in the protocol detection is qualified; if the detection item is measurement accuracy detection, the auxiliary equipment is a temperature control device, the temperature control device provides environment temperature for the sensor to be detected, the sensor to be detected is in a starting state and sends data information to the test unit, and if the test unit receives the data information and analyzes the temperature value from the data information to be in a qualified temperature range, the test unit obtains that the test result of the sensor to be detected in the measurement accuracy detection is qualified; if the detection item is power consumption detection, the auxiliary equipment is a power consumption detection device used for detecting the power consumption of the sensor to be detected, the sensor to be detected is in a starting state and sends data information to the test unit, the test unit acquires data of the sensor to be detected through the power consumption detection device, the test unit acquires target power consumption based on the power consumption data 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, the test unit acquires a test result of the sensor to be detected in the power consumption detection to be qualified. In this case, corresponding auxiliary devices can be provided for the sensor under test in different test items, as a result of which the sensor under test can be better tested.

In addition, in the detection system related to the first aspect of the present disclosure, optionally, the internet of things test platform further includes a login unit and a management unit, where the login unit is used for a user to log in and obtain user information; the management unit is used for creating the test task, starting test preparation, starting execution of the test task and displaying the test result of the test task, the management unit creates the test task at least based on the detection type selected by a user, the detection item selected by the user, the user information acquired by the login unit and the equipment information of the sensors to be tested, the management unit enables the communication unit to be connected with the sensors to be tested and the auxiliary equipment through the starting of the test preparation, the management unit enables the test unit to start execution of the detection item corresponding to the test task through the starting of the test task, and the management unit acquires and displays the test result of the test unit. Thus, user information can be acquired and test tasks can be managed.

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

Further, in the detection system according to the first aspect of the present disclosure, optionally, the classification unit classifies the plurality of sensors under test based on the detection result of the detection report. Thus, the sensor under test can be classified based on the detection conclusion.

In addition, in the detection system according to the first aspect of the present disclosure, optionally, the sensor to be detected corresponds to a test result in each detection item, the test result is qualified or unqualified, the detection conclusion of the sensor to be detected is obtained based on the test result of each detection item, if the test result of any detection item of the sensor to be detected is unqualified, the detection conclusion of the sensor to be detected is unqualified, and otherwise, the detection conclusion of the sensor to be detected is qualified. Therefore, the test results of the sensor to be tested in each detection item can be obtained respectively, and the detection conclusion of the sensor to be tested can be obtained.

A second aspect of the present disclosure provides a detection method for batch-wise detecting infrared temperature sensors, including: the equipment information of a plurality of sensors to be tested of record, test task control auxiliary assembly based on that the user created is in order to establish the test environment to each sensor to be tested, will the sensor to be tested arrange in by the test environment that auxiliary assembly established to receive each sensor to be tested and be in data information that sends under the test environment is in order to acquire the test result, wherein, the sensor to be tested is infrared temperature sensor, the test task is based on the equipment information verification of each sensor to be tested whether this sensor to be tested accords with the detection project that predetermines the requirement, the detection project includes that the specification detects, at least one among measurement accuracy detection and the consumption detects, auxiliary assembly is including the temperature control device who is used for providing ambient temperature and is used for detecting the consumption detection device of the consumption of sensor to be tested. In this case, the auxiliary device may be controlled to establish a test environment based on different test parameters for the sensor under test so as to detect the sensor under test more comprehensively. Therefore, the sensor to be detected can be detected, and the detection efficiency is high.

In addition, in the detection method according to the second aspect of the present disclosure, optionally, if the detection item is protocol detection, the sensor to be tested is in a start state and sends data information to the test unit, and if the test unit receives the data information and parses target information therefrom, the test unit obtains that a test result of the sensor to be tested in the protocol detection is qualified; if the detection item is measurement accuracy detection, the auxiliary equipment is a temperature control device, the temperature control device provides environment temperature for the sensor to be detected, the sensor to be detected is in a starting state and sends data information to the test unit, and if the test unit receives the data information and analyzes the temperature value from the data information to be in a qualified temperature range, the test unit obtains that the test result of the sensor to be detected in the measurement accuracy detection is qualified; if the detection item is power consumption detection, the auxiliary equipment is a power consumption detection device used for detecting the power consumption of the sensor to be detected, the sensor to be detected is in a starting state and sends data information to the test unit, the test unit acquires power consumption data of the sensor to be detected through the power consumption detection device, the test unit acquires target power consumption based on the power consumption data 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, the test unit acquires a test result of the sensor to be detected in the power consumption detection to be qualified. In this case, corresponding auxiliary devices can be provided for the sensor under test in different test items, as a result of which the sensor under test can be better tested.

According to the detection system and the detection method, the infrared temperature sensors to be detected can be detected in batches, and the detection efficiency is high.

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 of infrared temperature sensors according to an example of the present disclosure.

Fig. 2 is a block diagram illustrating an example system environment for a batch detection infrared temperature sensor detection system according to an example of the present disclosure.

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

Fig. 4 is a block diagram illustrating a detection system for batch detection of infrared temperature sensors in accordance with examples of the present disclosure.

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

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

Fig. 7 is a block diagram illustrating a detection system for batch detection of infrared temperature sensors according to an example of the present disclosure.

Fig. 8 is a flowchart illustrating a detection method of batch detection infrared temperature sensors 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 ratio of the dimensions of the components and the shapes of the components may be different from the actual ones. It is noted that the terms "comprises," "comprising," and "having," and any variations thereof, in this disclosure, for example, a process, method, system, article, or apparatus that comprises or has a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include or have other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

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

In some examples, when multiple sensors under test 120 are in the warehousing area 130, each sensor under test 120 may be tagged with a bar code number having a unique identification. 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 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 a unique sensor under test 120 during communication. In some examples, device information for a plurality of sensors under test 120 may be entered into the internet of things test platform 110. 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 barcode scanner may be used to scan a barcode number attached to each sensor under test 120 to obtain device information of the sensor under test 120. Therefore, it is convenient to select the corresponding sensors 120 to be tested to be in the same batch and enter the test area 150.

In some examples, after the area to be inspected 140 is assembled, initially inspected, and batched, various batches of sensors 120 under test may enter the test area 150. In some examples, at the test area 150, auxiliary equipment 220 (described later) may be provided for each lot of sensors under test 120 and the internet of things test platform 110 may be utilized to detect each lot of sensors under test 120 to obtain test results. In some examples, the 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 test area 150 completes testing, a plurality of sensors under test 120 may enter sorting area 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 may be placed in qualified and unqualified areas, respectively, based on the test results. In some examples, the classification results may be submitted to the internet of things testing platform 110. In some examples, the classification results may be queried by the internet of things testing platform 110.

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

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

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

In some examples, as shown in fig. 3, the output of the auxiliary device 220, such as the ambient temperature, may be controlled by the internet of things test platform 110. The output quantity may act on the sensor to be tested 120 to trigger the sensor to be tested 120 to report data information to the internet of things test platform 110. In some examples, the internet of things testing platform 110 may obtain the testing result by comparing the theoretical effect corresponding to the output quantity of the sensor to be tested 120 with the actual effect corresponding to the data information reported by the sensor to be tested 120. 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. 4 is a block diagram illustrating a detection system 300 for batch detection of infrared temperature sensors in accordance with examples of the present disclosure. In some examples, as shown in fig. 4, the detection system 300 may include the internet of things test platform 110, the auxiliary device 220, and the network device 310. The internet of things testing platform 110 may include a recording unit 111, a communication unit 112, and a testing unit 113. 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 the sensor under test 120 with high detection efficiency.

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

In the embodiment according to the present disclosure, the sensor under test 120 may be a temperature sensor. For example, the sensor under test 120 may be an infrared temperature sensor. An infrared temperature sensor may be used to measure the ambient temperature at which it is located. In some examples, the sensor under test 120 may be a smart sensor. Smart sensors may include microprocessors and have the ability to process and collect information.

In some examples, the recording unit 111 may record the device information into the storage space. The storage space may include, but is not limited to, a database, a file, or a memory, etc. In some examples, the recording unit 111 may be used to record the device information of the sensor under test 120 into the storage space when the sensor under test 120 enters the warehousing area 130.

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

In some examples, the device information of the sensor under test 120 may include at least one of 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 numeric, alphabetic, chinese, or a combination of the three. Additionally, in some examples, the protocol version number may be a version of the communication protocol of the sensor under test 120. Thus, different versions of communication protocols can be resolved based on the protocol version number.

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

Additionally, in some examples, the communication address may be determined by the manufacturer of the sensor under test 120 according to predetermined rules. In some examples, the communication address may be used to determine a unique sensor under test 120 during communication. For example, when the sensor to be measured 120 reports data information, the data information may include a communication address. In this case, the internet of things test platform 110 may obtain the communication address after receiving the data information, and may further determine the sensor 120 to be tested to which the data information belongs.

In addition, in some examples, the device information of the sensor under test 120 may further include a device number, a model, a batch number, a time of arrival, a time of warehousing, a bar code number, a device version number, a manufacturer to which the device belongs, and the like. Thereby, various pieces of equipment information of the sensor to be measured 120 can be obtained. In some examples, the device number may be a unique number of each sensor under test 120 in the internet of things test platform 110.

In some examples, as described above, the internet of things test platform 110 may include the communication unit 112 (see fig. 4). In some examples, the communication unit 112 may be used to connect and communicate with various sensors under test 120 and auxiliary devices 220. In some examples, the secondary device 220 may connect to and communicate with the communication unit 112 through the network device 310 by a network connection. In some examples, the sensor under test 120 may connect and communicate with the communication unit 112 through the network device 310 by a network connection. In addition, in some examples, the communication unit 112 may be based on a UDP (User Datagram Protocol) Protocol or a TCP (Transmission Control Protocol) Protocol.

In some examples, the internet of things testing platform 110 may include a testing unit 113 (see fig. 4). The test unit 113 may be used to control the auxiliary device 220 to establish a test environment and obtain test results of each sensor under test 120. In some examples, the test unit 113 may control the 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 tasks may be created by a user. The user may be a user using the detection system 300. In some examples, each lot of sensors 120 under test may correspond to a test task. In some examples, the test tasks for sensors under test 120 of the same type or the same specification may be the same.

In some examples, the testing task may be to verify whether each sensor under test 120 meets a preset required detection item based on the device information of the sensor under test. In some examples, a test task may include one or more test items. For example, the detection items of the infrared temperature sensor may include, but are not limited to, protocol detection, measurement accuracy detection, power consumption detection, and the like. This enables relatively comprehensive detection of the sensor under test 120. In some examples, the different auxiliary devices 220 that detect project requirements may not be identical (described in detail later). In this case, the sensor under test 120 can be provided with the corresponding auxiliary device 220 in different test items, so that the sensor under test 120 can be better tested.

In some examples, when the selected detection item detects the sensor under test 120, the sensor under test 120 may be detected simultaneously, and the test result of each sensor under test 120 may be obtained separately. However, examples of the present disclosure are not limited thereto, and in some examples, when the sensor to be tested 120 is tested by selecting the test item, the sensors to be tested 120 may be tested one by one, and the test result of each sensor to be tested 120 may be obtained separately.

Additionally, in some examples, establishing a test environment may be to provide sensed measured information, such as temperature, to the sensor under test 120. In some examples, establishing a test environment may be providing the sensor under test 120 with other conditions, such as current, that operate the sensor under test 120. In some examples, control commands included in the plurality of detection items may be sent to the auxiliary devices 220 through the communication unit 112 to control the operation of the auxiliary devices 220, thereby establishing the test environment. In some examples, the testing parameters may be set by the internet of things testing platform 110 (e.g., the testing unit 113) to enable the auxiliary device 220 to establish a specific testing environment for the sensor under test 120. For example, the auxiliary device 220 may be controlled to provide a certain amount of current or temperature, etc. by the internet of things test platform 110. In some examples, the detection parameters may be set based on technical specifications, data from the manufacturer of the mainstream equipment, field application or empirical values, and the like. In some examples, when the sensor under test 120 is tested again, the detection system 300 may apply a current or a voltage to the sensor under test 120 to enable the sensor under test 120 to be activated. In other examples, the sensor under test 120 may be provided with a power device such as a power source or the like to place the sensor under test 120 in an activated state.

In some examples, the auxiliary device 220 may feed back the provided actual detection parameters to the internet of things testing platform 110. For example, the detection parameters may be set by the testing platform 110 of the internet of things to control the temperature control device to provide a specific ambient temperature for the sensor 120 to be tested, and the actual ambient temperature provided by the temperature control device for the sensor 120 to be tested may be fed back to the testing platform 110 of the internet of things. In this case, the physical network testing platform 110 may obtain the testing result of the sensor under test 120 by using the actual testing parameters fed back by the auxiliary device 220 and combining the received data information.

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 under test 120 may be secured to the auxiliary device 220. Additionally, in some examples, the sensor under test 120 may be placed at a particular location of the auxiliary device 220. For example, an infrared temperature sensor may be placed within a cavity of the auxiliary device 220, such as a black body. In this case, the output of the auxiliary device 220 may act on the sensor 120 to be tested, and the output of the auxiliary device 220 may be controlled through the internet of things testing platform 110, so that the testing environment may be automatically established. This can improve the detection efficiency.

In addition, in some examples, the internet of things testing platform 110 may receive data information of each sensor under test 120 in the testing environment to obtain a testing result. In some examples, each sensor under test 120 may report data information to the internet of things test platform 110 after receiving the output of the auxiliary device 220. In some examples, a theoretical effect corresponding to the output quantity controlled by the internet of things testing platform 110 may be compared with an actual effect corresponding to the data information reported by the sensor to be tested 120 to obtain a testing result. In some examples, the test result may be the result of each sensor under test 120 in each test item, such as pass or fail.

In some examples, the auxiliary device 220 may be controlled by the test unit 113 to provide a corresponding test environment to test the sensor under test based on the test task until the test task is completed. Specifically, the test unit 113 may select the detection items from the test tasks to control the auxiliary device 220 to provide the corresponding test environments and to test the sensor to be tested, until the detection items included in the test tasks all complete the test on the sensor to be tested 120.

In some examples, a user may select a test item from a test task through the test unit 113, such that the test unit 113 controls the auxiliary device 220 to provide a corresponding test environment for testing the sensor under test until the test task is completed. In other examples, the test unit 113 may select the test item from the test task without manual assistance, so that the test unit 113 controls the auxiliary device 220 to provide a corresponding test environment for testing the sensor under test until the test task is completed. For example, the test unit 113 may select a next item of test every predetermined test time to perform a test when one item of test is completed. In some examples, the user may set the addition of the detection items according to actual needs and provide the opposite auxiliary device 220 to detect the sensor 120 to be detected.

In some examples, as described above, the detection system 300 may include the auxiliary device 220 (see fig. 4). In some examples, the auxiliary device 220 may be used to provide a test environment for a plurality of sensors 120 under test. In some examples, if the sensor under test 120 is an infrared temperature sensor, the auxiliary devices 220 may include, but are not limited to, a temperature control device, a power consumption detection device, and the like. In some examples, the ambient temperature of the test environment may be adjusted by a temperature control device (e.g., a high-low temperature test chamber or black body, etc.). In some examples, a power consumption detection device (e.g., a power consumption meter, etc.) may acquire power consumption of the sensor under test 120. In some examples, when the sensor under test 120 is in the activated state, the sensor under test 120 may normally send data information to the internet of things test platform 110.

In some examples, the communication mode of the secondary device 220 may be a portal mode. Therefore, the network equipment can be connected with and communicate with the Internet of things test platform. In other examples, the communication mode of the auxiliary device 220 may be a serial mode. In this case, the serial port mode may be converted into the internet port mode and then connected to the network device 310, so as to be connected to and communicate with the internet of things test platform 110. Examples of the disclosure are not limited thereto. The auxiliary device 220 may be directly connected with the internet of things test platform 110 to enable the internet of things test platform 110 to control the output of the auxiliary device 220.

In some examples, as described above, the sensor under test 120 may be an infrared temperature sensor. In some examples, the detection items may include at least one of specification detection, measurement accuracy detection, and power consumption detection. In some examples, the auxiliary device 220 may include at least one of a temperature control device, a power consumption detection device. This enables relatively comprehensive detection of the sensor under test 120. In some examples, different detection items may set respective corresponding detection parameters.

In some examples, the test unit 113 may select the test item as protocol test, and the test unit 113 may set the test parameters. The detection parameters may include a test duration, etc. In some examples, if the detection item selected from the test task by the test unit 113 is protocol detection, the sensor under test 120 may be in a start state, and may send data information to the internet of things test platform 110.

In some examples, the internet of things testing platform 110 may receive the data information and obtain the testing result of the sensor under test 120 in protocol testing based on the data information. In some examples, the test results may include pass or fail. In some examples, if the internet of things testing platform 110 parses target information (i.e., measured information, such as a temperature value, etc.) from the data information, the internet of things testing platform 110 may obtain that a testing result of the sensor 120 to be tested in the protocol detection is qualified; if the internet of things testing platform 110 cannot analyze the target information from the data information, the internet of things testing platform 110 may obtain that the testing result of the sensor 120 to be tested in the protocol detection is unqualified. In some examples, if a sensor under test 120 does not send data information for a test duration, the test result of the sensor under test 120 may be a fail.

In some examples, the test unit 113 may select the test item as measurement accuracy test, and the test unit 113 may set the test parameter. The detection parameters may include an ambient temperature, a test duration, a qualified temperature range (or a preset range), and the like provided by the temperature control device.

In some examples, if the test item selected from the test task by the test unit 113 is measurement accuracy testing, the auxiliary equipment 220 may include a temperature control device. In this case, the temperature control device (e.g., black body, etc.) may provide the ambient temperature, the sensor under test 120 may be in a start state, and may send data information to the internet of things test platform 110. In some examples, the internet of things testing platform 110 (e.g., the testing unit 113) may receive the data information and obtain a testing result of the sensor under test 120 in measurement accuracy detection based on the data information. In some examples, the temperature control device may feed back the provided actual ambient temperature to the internet of things testing platform 110.

In some examples, the internet of things test platform 110 may parse the temperature value from the data information. In some examples, the internet of things testing platform 110 may compare the temperature value analyzed from the data information with a qualified temperature range, and if the temperature value is within the qualified temperature range, the internet of things testing platform 110 may obtain that the test result of the sensor 120 to be tested in the measurement accuracy detection may be qualified; if the temperature value is not within the qualified temperature range, the internet of things testing platform 110 may obtain a testing result of the sensor 120 to be tested in the measurement precision detection, which may be unqualified.

In other examples, the temperature value analyzed from the data information may be compared with the actual environment temperature fed back by the temperature control device, and if the difference between the temperature value and the actual environment temperature does not exceed a preset range (e.g., -2 ℃ to 2 ℃), the test result of the sensor to be tested 120 in the measurement precision detection may be qualified; if the difference between the temperature value and the actual ambient temperature exceeds a preset range (for example, -2 ℃ to 2 ℃), the test result of the sensor to be tested 120 in the measurement precision detection may be unqualified.

In some examples, the detection ends after the duration of the test. In some examples, if a sensor under test 120 does not send data information for a test duration, the test result of the sensor under test 120 may be a fail.

In other examples, in the measurement accuracy detection, different temperatures may be set, the temperature value measured by the sensor 120 to be measured and the actual ambient temperature fed back by the temperature control device are respectively obtained, and the respective average values are calculated and then compared, so as to determine whether the test result of the sensor 120 to be measured in the measurement accuracy detection is qualified by combining the preset range.

In some examples, the test unit 113 may select the test item as power consumption test, and the test unit 113 may set the test parameter. The detection parameters may include a test duration, a qualified power consumption range, and the like.

In some examples, the auxiliary device 220 may include a power consumption detection means if the detection item selected from the test task by the test unit 113 is a power consumption detection. In this case, the power consumption detecting means (e.g., a power consumption meter, etc.) may acquire the power consumption of the sensor under test 120, the sensor under test 120 may be in a start-up state, and may transmit data information to the test unit 113. In some examples, the detection may be ended after the duration of the test.

In some examples, the internet of things test platform 110 (e.g., the test unit 113) may obtain power consumption data of the sensor under test 120 through the power consumption detection device, and obtain a test result of the sensor under test 120 based on the power consumption data. In some examples, the recording unit 111 may also record power consumption data of the sensor under test 120. In some examples, the internet of things test platform 110 may obtain a target power consumption (e.g., a maximum value, a minimum value, or an average value of the power consumption corresponding to the sensor under test 120) based on the power consumption data. In some examples, the internet of things testing platform 110 may compare 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 under test 120 in the power consumption detection may be qualified; if the target power consumption is not within the qualified power consumption range, the test result of the sensor to be tested 120 in the power consumption detection may be unqualified.

In other examples, if the detection item is power consumption detection, the auxiliary device 220 may further include a temperature control device. In some examples, the temperature control device adjusts an ambient temperature at which the sensor 120 to be tested is located, and the power consumption detection device is used to obtain power consumption data corresponding to the sensor 120 to be tested at different ambient temperatures. In this case, the internet of things testing platform 110 may obtain the testing result of the sensor under test 120 based on the power consumption data. For example, the internet of things test platform 110 may obtain a target power consumption based on the power consumption data and compare the target power consumption with the qualified power consumption range.

In some examples, detection system 300 may include network device 310 (see fig. 4). In some examples, the network device 310 may be used to connect various sensors under test 120 and auxiliary devices 220 to the internet of things test platform 110. In some examples, network device 310 may be used to connect various sensors under test 120 with communication unit 112. Each sensor under test 120 may be connected to and communicate with the communication unit 112 via a network connection. In some examples, the network device 310 may be used to connect the auxiliary device 220 with the communication unit 112 of the internet of things test platform 110. In some examples, the secondary device 220 may be connected to and communicate with the communication unit 112 via a network connection.

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

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

In other examples, in wide area network-based detection system 300, network device 310 may include a switching device and a routing device. Switching devices may include, but are not limited to, switches, hubs, and the like. The routing device may include, but is not limited to, a router. In some examples, the sensor under test 120 and the auxiliary device 220 may be connected to a switching device, respectively, and then the switching device may be connected to the internet of things test platform 110 through a routing device. Examples of the disclosure are not limited thereto and in other examples, detection system 300 may not be connected via a network. For example, the connection with the sensor under test 120 and the auxiliary device 220 may be made via serial ports.

Fig. 6 is a schematic diagram illustrating another network structure of a local area network-based detection system according to an example of the present disclosure. In some examples, the detection system 300 may also include a communication mode switching device (not shown). In some examples, the communication mode conversion device 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. 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.

In some examples, the communication mode transition device 320 may be a concentrator. The concentrator may collect data information of the sensor under test 120 having a wireless mode and connect with the network device 310 to forward the data information. Additionally, in some examples, the communication mode conversion device 320 may be a serial to network port module. In this case, the communication mode of the sensor 120 to be tested can be switched to the internet access mode through the serial port to internet access module, so that the sensor 120 to be tested can be connected to the network device 310. In some examples, the secondary device 220 having a portal mode can be directly connected with the network device 310.

Fig. 7 is a block diagram illustrating a detection system for batch detection of infrared temperature sensors according to an example of the present disclosure. In some examples, as shown in fig. 7, the internet of things testing platform 110 may further include a login unit 114. The login unit 114 may be used for a user to log in and obtain user information. The user information may include at least a user number and a user's authority. In some examples, the user information may also include at least one of a login account number, a username, a login time, and a login IP address. In some examples, the log-in may be performed through the log-in unit 114 before using the functions of the internet of things test platform 110, such as the recording unit 111.

In some examples, the internet of things testing platform 110 may further include a suspect unit 115 (see fig. 7). In some examples, the suspect unit 115 may be used to assemble, preliminarily inspect, and batch a plurality of sensors 120 under test. In some examples, the suspect unit 115 may be used to assemble a plurality of sensors 120 under test. For example, the accessories of each sensor under test 120 may be assembled with each sensor under test 120. Additionally, in some examples, the suspect unit 115 may be used to perform a preliminary inspection of a plurality of sensors under test 120. 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, the suspect unit 115 may be used to batch multiple sensors 120 under test. In some examples, since the number of sensors 120 to be tested is generally large, a plurality of sensors 120 to be tested may be batched by the suspected cells 115. For example, when a plurality of sensors 120 to be tested enter the suspected region 140, each sensor 120 to be tested may be identified by a code scanning gun, and then a barcode number may be identified via the code scanning gun to obtain device information of the sensor 120 to be tested and displayed in the suspected unit 115. The to-be-inspected unit 115 can batch the sensors 120 to be inspected according to the apparatus information.

In some examples, as shown in fig. 7, the internet of things testing platform 110 may further include a management unit 116. In some examples, the management unit 116 may be used to create test tasks. In some examples, test tasks may be created based on batch information submitted by the suspected unit 115. In some examples, the management unit 116 may create the test task based on at least the detection type selected by the user, the detection item selected by the user, the user information acquired by the login unit 114, the device information of the plurality of sensors under test 120, and the auxiliary devices 220 corresponding to the plurality of sensors under test 120. In some examples, a user may log into the internet of things testing platform 110 through the login unit 114, and the internet of things testing platform 110 displays a corresponding browsable or operable page according to the authority that the user has, for example, a test task page. In this case, the user may select the detection type corresponding to the batch of sensors under test 120, such as infrared temperature sensor detection. The internet of things testing platform 110 can enter a page of a corresponding detection task according to the detection type selected by the user. The user can create a test task by selecting a test item, device information of a plurality of sensors to be tested 120, in the page of the test task.

Additionally, in some examples, the management unit 116 may be used to initiate test preparation. In some examples, the management unit 116 may connect the communication unit 112 with the plurality of sensors under test 120 and the auxiliary device 220 by initiating test preparation. The plurality of sensors under test 120 and the auxiliary device 220 may be connected 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 auxiliary device 220, respectively, to prepare for testing, for example, by initiating test preparation. Additionally, in some examples, the management unit 116 may be used to initiate execution of the test tasks. In some examples, the management unit 116 may cause the testing unit 113 to start executing the detection item corresponding to the test task by starting executing the test task. 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. 7). In some examples, the generation unit 117 may generate a detection report based on the test result obtained by the test unit 113. For example, the generating unit 117 may obtain the detection report of the batch of the sensors under test 120 based on the test result of each detection item in the testing 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 conclusions may be pass and fail. In some examples, the detection conclusion may be obtained based on test results of individual detection items in the test task. For example, if the test result of a certain sensor under test 120 in a certain detection item is not good, the detection result of the certain sensor under test 120 is not good. In addition, in some examples, the test result details may include data information, test results, and test environment information, such as test parameters, for each test item 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. In some examples, a detection report may be derived. In some examples, the detection report may be a word formatted document.

In some examples, the internet of things testing platform 110 may further include a classification unit 118 (see fig. 7). In some examples, the classification unit 118 may classify the sensor under test 120 based on the test result obtained by the test unit 113 or the detection conclusion in the detection report. 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.

Hereinafter, the detection method of the batch detection infrared temperature sensor according to the present disclosure is described in detail with reference to fig. 8. The detection method for detecting the infrared temperature sensors in batches related to the present disclosure may sometimes be referred to simply as a detection method. The detection method according to the present disclosure is applied to the detection system 300 described above. Fig. 8 is a flowchart illustrating a detection method of batch detection infrared temperature sensors according to an example of the present disclosure.

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

In this embodiment, the descriptions of the sensor to be tested, the test task, the auxiliary device, the test environment, the data information, and the test result in the detection method may specifically refer to the above-mentioned descriptions of the sensor to be tested, the test task, the auxiliary device, the test environment, the data information, and the test result. In some examples, the sensor under test 120 may be an infrared temperature sensor.

In step S10, device information for a plurality of sensors under test 120 may be recorded, as described above. 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, a communication address, and the like. Thereby, various kinds of device information of the sensor to be measured can be obtained. For a specific description, reference may be made to a related description of the recording unit 111 in the internet of things test platform 110, and details are not repeated here.

In step S20, the auxiliary device 220 may be controlled to establish a test environment based on the test task, as described above. In some examples, each sensor under test 120 and 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. In some examples, the testing task may be to verify whether each sensor under test 120 meets a preset required detection item based on the device information of the sensor under test. For a detailed description, reference may be made to the related description of the communication unit 112 and the testing unit 113 in the internet of things testing platform 110, and details are not described herein again. In this embodiment, the description of the detection item in the detection method may specifically refer to the above description of the detection item.

In step S30, as described above, a plurality of sensors under test 120 may be placed in a test environment, and data information sent by each sensor under test 120 may be received to obtain a test result. In some examples, the communication unit 112 may be connected to the plurality of sensors under test 120 and the auxiliary device 220 by initiating test preparation. The communication unit 112 may be connected to and communicate with a plurality of sensors under test 120 and auxiliary devices 220 via a network. In some examples, test items may be respectively selected from the test tasks to control the auxiliary device 220 to provide a corresponding test environment for testing the sensor under test until the test tasks are completed. For a detailed description, reference may be made to the related description of the management unit 116, the communication unit 112, and the testing unit 113 in the internet of things testing platform 110, and details are not described herein again. In this embodiment, the description of the network connection in the detection method may specifically refer to the above description of the network connection.

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

Claims (10)

1. A detection system for detecting infrared temperature sensors in batches is characterized by comprising an Internet of things test platform, auxiliary equipment and network equipment; the Internet of things testing platform comprises a recording unit, a communication unit and a testing unit, wherein the recording unit is used for recording equipment information of a plurality of sensors to be tested, the auxiliary equipment and each sensor to be tested are connected and communicated with the communication unit through the network equipment through network connection, the testing unit controls the auxiliary equipment through the communication unit based on a testing task created by a user to establish a testing environment for each sensor to be tested, the sensor to be tested is arranged in the testing environment established by the auxiliary equipment, and the testing unit receives data information sent by each sensor to be tested under the testing environment to obtain a testing result, wherein the sensor to be tested is an infrared temperature sensor, the testing task is used for verifying whether the sensor to be tested accords with a detection item required by presetting based on the equipment information of each sensor to be tested, the detection items comprise at least one of protocol detection, measurement precision detection and power consumption detection, and the auxiliary equipment comprises a temperature control device for providing ambient temperature and a power consumption detection device for detecting the power consumption of the sensor to be detected.

2. The detection system of claim 1, wherein:

the communication mode conversion device 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 a network port mode, and the communication standard mode is the network port mode.

3. The detection system of claim 1, wherein:

the device information of the sensor to be tested at least comprises a device type, a protocol version number, a communication mode and a communication address, 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.

4. The detection system of claim 1, wherein:

if the detection item is protocol detection, the sensor to be detected is in a starting state and sends data information to the test unit, and if the test unit receives the data information and analyzes target information from the data information, the test unit acquires that a test result of the sensor to be detected in the protocol detection is qualified;

if the detection item is measurement accuracy detection, the auxiliary equipment is a temperature control device, the temperature control device provides environment temperature for the sensor to be detected, the sensor to be detected is in a starting state and sends data information to the test unit, and if the test unit receives the data information and analyzes the temperature value from the data information to be in a qualified temperature range, the test unit obtains that the test result of the sensor to be detected in the measurement accuracy detection is qualified;

if the detection item is power consumption detection, the auxiliary equipment is a power consumption detection device used for detecting the power consumption of the sensor to be detected, the sensor to be detected is in a starting state and sends data information to the test unit, the test unit acquires power consumption data of the sensor to be detected through the power consumption detection device, the test unit acquires target power consumption based on the power consumption data 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, the test unit acquires a test result of the sensor to be detected in the power consumption detection to be qualified.

5. The detection system of claim 1, wherein:

the Internet of things testing platform further comprises a login unit and a management unit, wherein the login unit is used for a user to login and acquire user information; the management unit is used for creating the test task, starting test preparation, starting execution of the test task and displaying the test result of the test task, the management unit creates the test task at least based on the detection type selected by a user, the detection item selected by the user, the user information acquired by the login unit and the equipment information of the sensors to be tested, the management unit enables the communication unit to be connected with the sensors to be tested and the auxiliary equipment through the starting of the test preparation, the management unit enables the test unit to start execution of the detection item corresponding to the test task through the starting of the test task, and the management unit acquires and displays the test result of the test unit.

6. The detection system of claim 1, wherein:

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

7. The detection system of claim 6, wherein:

the Internet of things testing platform further comprises a classification unit, and the classification unit classifies the plurality of sensors to be tested based on the detection conclusion of the detection report.

8. The detection system of claim 7, wherein:

the method comprises the steps that a sensor to be detected corresponds to a test result in each detection item, the test result is qualified or unqualified, the detection conclusion of the sensor to be detected is obtained based on the test result of each detection item, if the test result of the sensor to be detected in any detection item is unqualified, the detection conclusion of the sensor to be detected is unqualified, and otherwise, the detection conclusion of the sensor to be detected is qualified.

9. A detection method for detecting infrared temperature sensors in batch is characterized by comprising the following steps: the equipment information of a plurality of sensors to be tested of record, test task control auxiliary assembly based on that the user created is in order to establish the test environment to each sensor to be tested, will the sensor to be tested arrange in by the test environment that auxiliary assembly established to receive each sensor to be tested and be in data information that sends under the test environment is in order to acquire the test result, wherein, the sensor to be tested is infrared temperature sensor, the test task is based on the equipment information verification of each sensor to be tested whether this sensor to be tested accords with the detection project that predetermines the requirement, the detection project includes that the specification detects, at least one among measurement accuracy detection and the consumption detects, auxiliary assembly is including the temperature control device who is used for providing ambient temperature and is used for detecting the consumption detection device of the consumption of sensor to be tested.

10. The detection method according to claim 9, characterized in that:

if the detection item is protocol detection, the sensor to be detected is in a starting state and sends data information to the test unit, and if the test unit receives the data information and analyzes target information from the data information, the test unit acquires that a test result of the sensor to be detected in the protocol detection is qualified;

if the detection item is measurement accuracy detection, the auxiliary equipment is a temperature control device, the temperature control device provides environment temperature for the sensor to be detected, the sensor to be detected is in a starting state and sends data information to the test unit, and if the test unit receives the data information and analyzes the temperature value from the data information to be in a qualified temperature range, the test unit obtains that the test result of the sensor to be detected in the measurement accuracy detection is qualified;

if the detection item is power consumption detection, the auxiliary equipment is a power consumption detection device used for detecting the power consumption of the sensor to be detected, the sensor to be detected is in a starting state and sends data information to the test unit, the test unit acquires power consumption data of the sensor to be detected through the power consumption detection device, the test unit acquires target power consumption based on the power consumption data 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, the test unit acquires a test result of the sensor to be detected in the power consumption detection to be qualified.

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