CN217845235U - Detection system for detecting sensors in batches - Google Patents

Abstract

The utility model discloses a detecting system of batch detection sensor, including detection device, auxiliary assembly and network equipment, detection device is including the thing networking test platform that detects a plurality of sensors that await measuring and the communication mode conversion equipment that changes a plurality of sensors that await measuring into the communication standard mode with the communication mode of a plurality of sensors that await measuring, and the communication standard mode is the net gape mode, and the sensor that await measuring and auxiliary assembly pass through network equipment via network connection to detection device's thing networking test platform. Therefore, the detection efficiency is high, and the detection can be carried out on various sensors to be detected.

Description

Detection system for detecting sensors in batches

The present application is a divisional application of a patent application entitled "a detection apparatus for mass detection of sensors based on network communication" filed on 2021, 3/12/2021205313402.

Technical Field

The present invention generally relates to a detection system for batch detection of sensors.

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 (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 fixture 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.

SUMMERY OF THE UTILITY MODEL

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a batch sensor detection system capable of detecting a plurality of sensors to be measured and having high detection efficiency.

Therefore, the detection system for detecting the sensors in batches comprises a detection device, auxiliary equipment and network equipment, wherein the detection device comprises an Internet of things test platform for detecting a plurality of sensors to be detected and communication mode conversion equipment for converting communication modes of the plurality of sensors to be detected into communication standard modes, the communication standard modes are internet access modes, and the sensors to be detected and the auxiliary equipment are connected to the Internet of things test platform of the detection device through the network equipment through a network.

According to the utility model discloses, optionally, communication mode conversion equipment is serial ports commentaries on classics net gape module.

According to the utility model discloses, optionally, network equipment includes switching equipment and routing equipment, switching equipment includes switch, concentrator, routing equipment includes the router.

According to the utility model discloses, optionally, each sensor that awaits measuring among a plurality of sensors that await measuring has the bar code number of unique sign, the bar code number is bar code or two-dimensional code.

According to the utility model discloses, optionally, thing networking test platform still includes record unit, communication unit, test unit, logs in the unit, reads unit and management unit.

According to the utility model discloses, optionally, read the unit for sweeping yard rifle or scanner.

According to the utility model discloses, optionally, auxiliary assembly includes current device, temperature control device, power detection device and consumption detection device.

According to the invention, optionally, the network comprises a wide area network and a local area network.

According to the utility model discloses, optionally, the sensor that awaits measuring has RJ45 network interface.

According to the utility model discloses, optionally, the sensor that awaits measuring is one of temperature sensor, humidity transducer, infrared sensor, smoke transducer, partial discharge sensor, water sensor.

According to the utility model discloses, can provide one kind and detect and the higher batch detecting sensor's of detection efficiency detecting system to multiple sensor that awaits measuring.

Drawings

The invention 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 batch detection sensor detection system based on network communication according to an example of the present invention.

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 invention.

Fig. 3 is a block diagram illustrating an exemplary system environment of a batch test sensor based network communication test system according to an example of the present invention.

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

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 invention.

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

Fig. 7 is a schematic diagram illustrating a network architecture of a wide area network-based detection system according to an example of the present invention.

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 invention.

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 invention.

Detailed Description

Hereinafter, preferred embodiments of the present invention 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 the present 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 batch detection sensor detection system based on network communication according to an example of the present invention. Fig. 2 is a block diagram showing a detection apparatus for batch detection sensors based on network communication according to an example of the present invention.

In some examples, the detection system 300 (which may also be referred to as the detection system 300) of the batch detection sensor based on network communication according to the present invention 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, the plurality of 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 the communication process.

In some examples, device information for a plurality of sensors under test 120 at the warehousing area 130 may be entered into the internet of things test platform 110. In some examples, device information of the plurality of sensors under test 120 may be recorded using a recording unit 111 (described later) of the internet of things test platform 110. In some examples, the device information of the plurality of sensors under test 120 may be entered into the device information file and then imported into the internet of things testing 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 barcode 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 when 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 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 test system based on network communications to which examples of the present invention relate. Fig. 4 is a schematic diagram illustrating a closed loop detection flow according to an example of the present invention. In some examples, the detection system of the present invention 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. 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 obtained 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 invention in detail with reference to the accompanying 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 invention. 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, detection system 300 may include 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 120 under test. The communication unit 112 may be used to interface with and perform data interaction with the various sensors under test 120 and auxiliary equipment 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 the 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 120 under test. 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. 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 utilized 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. 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 communication. For example, the data information of the sensor under test 120 may include a communication address. In this case, after receiving the data information, the internet of things testing platform 110 may obtain the communication address, and may further determine the sensor to be tested 120 to which the data information belongs.

In addition, in some examples, the device information of the sensor under test 120 may further include at least one of a device number, a model number, a batch number, a time of arrival, a warehousing time, a bar code number, a device version number, and a home of the device. Thereby, various pieces of 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 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 interact data with the various sensors under test 120 and auxiliary devices 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 under test 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 12 to be tested 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 obtain test results of each sensor under test 120. In some examples, the test unit 113 may control the at least one auxiliary device 220 through the communication unit 112 to establish a test environment for each sensor under test 120 based on the test task. 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, to control the output of the auxiliary equipment 220.

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 testing platform 110 may be used to load testing tasks. In some examples, a test task may include one or more test items.

In some examples, the detection items may include at least one of protocol detection, minimum start current detection, measurement accuracy detection, first packet reception time detection, packet transmission interval duration detection, large current surge detection, aging detection, alarm function detection, transmission power detection, and power consumption detection. This enables the sensor under test 120 to be detected more comprehensively. In some examples, the detection items of different sensors under test 120 may not be identical. For example, a smoke sensor can have three detection items, namely 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. This enables the sensor under test 120 to be more comprehensively tested using 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 as to automatically establish a testing environment. 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 a theoretical effect corresponding to the test environment and an actual effect corresponding to the data information. In some examples, the test result may be the result of each sensor under test 120 in each test item, such as pass or fail. For example, assuming that the test environment is used for measuring accuracy detection of the temperature sensor, a fixed temperature, for example, 5 ℃ is provided, 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 a theoretical effect corresponding to the test environment, a theoretical effect corresponding to the feedback information, and an 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 under test 120. 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 testing platform 110 and perform data interaction. In some examples, the communication mode of the auxiliary device 220 may be a serial mode. In this case, the serial port mode may be converted into the internet port mode and then connected to the network device 310, so as to be connected to the internet of things test platform 110 and perform data interaction.

In some examples, the auxiliary devices 220 that detect the requirements of the project 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, 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.

Fig. 6 is a schematic diagram illustrating a network structure of a local area network-based detection system according to an example of the present invention. 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. 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 the internet of things test platform 110 through a network device 310, such as a switch, and perform data interaction.

Fig. 7 is a schematic diagram illustrating a network architecture of a wide area network-based detection system according to an example of the present invention. 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. However, the present invention is not limited to this, and in other examples, the internet of things testing 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 invention. 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, communication with the internet of things testing platform 110 based on the communication standard mode can be conveniently carried out.

As described above, in some examples, the communication mode may include at least one of a wireless mode, a wired serial mode, and an internet port mode. In some examples, the wireless mode or the wired serial mode of the sensor under test 120 may be converted to the internet port mode to connect the sensor under test 120 to the network device 310. In some examples, the communication mode transition device 320 may be a concentrator. The concentrator 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 internet 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, communication with the internet of things testing platform 110 based on the internet access mode can be conveniently performed subsequently. 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 invention. 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 log-in may be performed by the log-in unit 114 before using a function of the internet of things testing platform 110, such as the recording unit 111.

In some examples, the internet of things testing platform 110 may also include a suspected 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 measured 120 enter the warehousing area 130, each sensor to be measured 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 measured 120. When a plurality of sensors 120 to be tested enter the area to be tested 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 may be identified by the reading unit 119 such as a code scanning gun to obtain device information of the sensor 120 to be tested and displayed in the unit to be tested 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 code numbers of 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 of a batch is completed, the batch of sensors under test 120 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 bar code number provided on the sensor to be tested 120 may be scanned using the reading unit 119 such as a code scanning gun to identify the device information of the sensor to be tested 120. In some examples, the management unit 116 may 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 items, the device information of the plurality of sensors to be tested 120, and the auxiliary devices 220 corresponding to the plurality of sensors to be tested 120.

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

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

In some examples, the internet of things testing platform 110 may further include a generating unit 117 (see fig. 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, a test result detail, and a statistical analysis result. 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 of all sensors under test 120 entering the binning 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 document in word format.

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 also include a classification unit 118 (see fig. 9). In some examples, classification unit 118 may classify sensor under test 120 based on test results obtained by 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).

The utility model discloses in, auxiliary assembly 220 and a plurality of sensor 120 that await measuring are connected and are carried out data interaction with detection device 30's thing networking test platform 110 by internet access through network equipment 310 based on network communication interface, thing networking test platform 110 is through controlling auxiliary assembly 220 and receive each sensor 120 that await measuring data information under this test environment and receive auxiliary assembly's feedback information and acquire the test result based on data information and feedback information with the test environment of establishing a plurality of sensor 120 that await measuring, still change the communication mode of sensor 120 that await measuring into the net gape mode based on detection device 30's communication mode conversion equipment 320 in addition. 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.

While the present invention 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 invention in any way. The present invention may be modified and varied as necessary by those skilled in the art without departing from the true spirit and scope of the invention, and all such modifications and variations are intended to be included within the scope of the invention.

Claims (10)

1. The utility model provides a detecting system of batch detection sensor, its characterized in that includes detection device, auxiliary assembly and network equipment, detection device is including the thing networking test platform that detects a plurality of sensors that await measuring and will the communication mode of a plurality of sensors that await measuring changes the communication mode of communication standard mode into, the communication standard mode is the net gape mode, the sensor that awaits measuring with the auxiliary assembly passes through network equipment is connected to detection device via the network thing networking test platform.

2. The detection system of claim 1, wherein:

the communication mode conversion equipment is a serial port to network port module.

3. The detection system of claim 1, wherein:

the network equipment comprises switching equipment and routing equipment, wherein the switching equipment comprises a switch and a hub, and the routing equipment comprises a router.

4. The detection system of claim 1, wherein:

each sensor to be measured in the plurality of sensors to be measured has a bar code number with a unique identifier, and the bar code number is a bar code or a two-dimensional code.

5. The detection system of claim 1, wherein:

the Internet of things testing platform further comprises a recording unit, a communication unit, a testing unit, a login unit, a reading unit and a management unit.

6. The detection system of claim 1, wherein:

the reading unit is a code scanning gun or a scanner.

7. The detection system of claim 1, wherein:

the auxiliary equipment comprises a current device, a temperature control device, a power detection device and a power consumption detection device.

8. The detection system of claim 1, wherein:

the network includes a wide area network and a local area network.

9. The detection system of claim 1, wherein:

the sensor to be tested is provided with an RJ45 network interface.

10. The detection system of claim 1, wherein:

the sensor to be measured is one of a temperature sensor, a humidity sensor, an infrared sensor, a smoke sensor, a partial discharge sensor and a water immersion sensor.

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