Product quality detection method and device based on industrial internet, and medium

Abstract

The embodiment of the invention discloses a product quality detection method and device based on the industrial internet and a medium, and belongs to the technical field of quality detection. The device comprises a first conveyor belt, a second conveyor belt, a conveyor belt control device and a test sensor, wherein the first conveyor belt and the second conveyor belt are arranged in parallel; a placement supporting plate is fixedly arranged on the first conveyor belt, and a test board and a detection result acquisition device are fixedly arranged on the second conveyor belt; when the quality of a target product is detected, the conveyor belt control device is used for controlling the first conveyor belt and the second conveyor belt to operate synchronously, the placing support plate is used for placing the target product, the test board is used for driving the target product to test, and the test sensor is used for collecting a sensor signal corresponding to the target product in the test process. The detection result acquisition device is used for acquiring and determining an abnormal detection result of the target product based on the sensor signal. According to the embodiment of the invention, the detection accuracy and the detection efficiency of product quality detection can be improved.

Description

Technical Field

[0001] The present invention relates to the field of quality inspection technology, and in particular to a product quality inspection method, device and medium based on industrial Internet. Background Art

[0002] Industrial products, such as washing machines, need to undergo quality inspection after final assembly to ensure that all components are assembled correctly and the product can operate normally and smoothly. In the prior art, when inspecting these assembled products, it is necessary to rely on artificial senses for inspection. Although the manual method is simple to implement, the inspection efficiency is low, and the inspection results are greatly affected by subjective factors. The inspection standards vary from person to person, and the inspection accuracy will decrease as the technical workers become tired. Summary of the invention

[0003] The embodiments of the present invention provide a product quality inspection method, device and medium based on the industrial Internet, which can help improve the inspection accuracy and inspection efficiency of product quality inspection.

[0004] In a first aspect, an embodiment of the present invention provides a product quality detection device based on the industrial Internet, comprising:

[0005] A first conveyor belt, a second conveyor belt, a conveyor belt control device and a test sensor, wherein the first conveyor belt is arranged in parallel with the second conveyor belt;

[0006] A placing pallet is fixedly arranged on the first conveyor belt, and a test bench and a test result acquisition device are fixedly arranged on the second conveyor belt;

[0007] When performing quality inspection on the target product, the conveyor belt control device is used to control the first conveyor belt and the second conveyor belt to run synchronously, the placement pallet is used to place the target product, the test bench is used to drive the target product for testing, the test sensor is used to collect the sensor signal corresponding to the target product during the test process, and the detection result acquisition device is used to obtain and determine the abnormal detection result of the target product based on the sensor signal.

[0008] In a second aspect, an embodiment of the present invention provides a product quality detection method based on the industrial Internet, and a product quality detection device based on the industrial Internet provided by any embodiment of the present invention is applied, including:

[0009] Controlling the first conveyor belt and the second conveyor belt to run synchronously by the conveyor belt control device;

[0010] Driving the target product to be tested by the test bench; and

[0011] The sensor signal sent by the test sensor is acquired through the detection result acquisition device, and the abnormal detection result of the target product is determined based on the sensor signal.

[0012] In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, an industrial Internet-based product quality inspection method as described in any one of the embodiments of the present invention is implemented.

[0013] The embodiments of the present invention provide a product quality inspection method, device and medium based on the industrial Internet. By arranging parallel and synchronously running conveyor belts in the product quality inspection device, and arranging a test bench, a test result acquisition device and a placement tray for automatically testing the product on the conveyor belts, and using the product quality inspection device to perform product quality inspection, the process of product quality inspection does not need to rely on artificial senses, is not affected by subjective factors and personnel status, and can improve the inspection efficiency and the accuracy of the inspection results when inspecting the product at a lower cost, and improve the abnormal detection rate, thereby avoiding abnormal missed detection due to incorrect product quality inspection results, and further avoiding abnormal operation of the product during use, which affects the product's service life and user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 It is a structural schematic diagram of a product quality detection device based on industrial Internet provided by an embodiment of the present invention;

[0016] Figure 2 is another structural schematic diagram of a product quality detection device based on the industrial Internet provided by an embodiment of the present invention;

[0017] Figure 3 It is a flow chart of a product quality detection method based on the industrial Internet provided by an embodiment of the present invention;

[0018] Figure 4 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] Industrial products, such as washing machines, need to undergo quality inspections after final assembly to ensure that all components are assembled correctly and that the products can operate normally and smoothly. In the prior art, when inspecting these assembled products, it is necessary to rely on artificial senses for inspection. For example, a skilled worker needs to lie on top of a drum washing machine and use his ears to listen to see if there is any abnormality during the operation of the washing machine to determine if there is any abnormality. Although the manual method is simple to implement, the inspection efficiency is low, and the inspection results are greatly affected by subjective factors. The inspection standards vary from person to person, and the inspection accuracy will decrease as the skilled worker becomes tired. In order to increase the detection rate of product abnormalities, skilled workers may adhere to the strategy of "better to kill by mistake than to let go", resulting in the rework and disassembly of many qualified products, increasing production costs and reducing efficiency.

[0020] In addition, in some product manufacturing factories, such as the final assembly lines of large home appliance factories, efficient production of one drum washing machine is achieved every 15 seconds. In order to conduct product quality inspections efficiently and accurately, a large number of skilled workers are required, and the labor costs are too high.

[0021] The embodiments of the present invention provide a product quality inspection method, device and medium based on the industrial Internet. By arranging parallel and synchronously running conveyor belts in the product quality inspection device, and arranging a test bench, a test result acquisition device and a placement tray for automatically testing the product on the conveyor belts, and using the product quality inspection device to perform product quality inspection, the process of product quality inspection does not need to rely on artificial senses, is not affected by subjective factors and personnel status, and can improve the inspection efficiency and the accuracy of the inspection results when inspecting the product at a lower cost, and improve the abnormal detection rate, thereby avoiding abnormal missed detection due to incorrect product quality inspection results, and further avoiding abnormal operation of the product during use, which affects the product's service life and user experience.

[0022] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] Figure 1 This is a schematic diagram of the structure of a product quality detection device based on the industrial Internet provided by an embodiment of the present invention. The device is suitable for executing the product quality detection method based on the industrial Internet provided by an embodiment of the present invention. The device can be implemented in software and / or hardware. Figure 1 As shown, the device may specifically include:

[0025] A first conveyor belt 1, a second conveyor belt 2, a conveyor belt control device 3 and a test sensor 4;

[0026] The first conveyor belt 1 is arranged in parallel with the second conveyor belt 2;

[0027] A placing tray 101 is fixedly arranged on the first conveyor belt 1, and a test table 201 and a test result acquisition device 202 are fixedly arranged on the second conveyor belt 2;

[0028] When performing quality inspection on the target product, the conveyor belt control device 3 is used to control the synchronous operation of the first conveyor belt 1 and the second conveyor belt 2, the placement pallet 101 is used to place the target product, the test table 201 is used to drive the target product for testing, the test sensor 4 is used to collect the sensor signal corresponding to the target product during the test process, and the detection result acquisition device 202 is used to obtain and determine the abnormal detection result of the target product based on the sensor signal.

[0029] Optionally, the target product is a washing machine, specifically a drum washing machine.

[0030] Specifically, the target product may also be a dryer or a wall-breaking machine.

[0031] Specifically, the above-mentioned quality inspection of the target product can be understood as inspecting whether the various components of the assembled target product are assembled correctly.

[0032] Optionally, the first conveyor belt 1 is fixed on the ground, and the second conveyor belt 2 is suspended and fixed.

[0033] Specifically, the size and shape of the placement tray 101 on the first conveyor belt 1 can be designed based on the appearance of the target product.

[0034] Specifically, the positions of the test bench 201 and the test result acquisition device 202 on the second conveyor belt 2 are arranged corresponding to the placement tray 101 .

[0035] Specifically, the test sensor 4 may be a vibration sensor or a temperature sensor.

[0036] Optionally, the test sensor 4 is a magnetic sensor.

[0037] It is understandable that many industrial products are made of magnetic materials, such as refrigerators, washing machines, etc. The test sensor 4 is a magnetic sensor, which can be adsorbed and fixed on the product when testing the target product, so that the test process can be carried out conveniently and quickly.

[0038] Specifically, the test sensor 4 may also be other forms of sensors that can be fixed on a product.

[0039] Optionally, the test bench 201 can be specifically used to drive the rotation speed of the washing machine to gradually increase from 0 r / min to the maximum rotation speed, and then gradually decrease to 0 r / min.

[0040] Specifically, the maximum speed of the above-mentioned maximum speed can be set based on the maximum speed of the target washing machine in a normal working scenario.

[0041] Specifically, the washing machine is driven to be tested by the test bench rather than by the working control module of the washing machine, which can help to complete the effective test of the washing machine in the shortest time.

[0042] Optionally, the test bench 201 further includes a power supply module for providing power for the process of testing the target product.

[0043] Optionally, the detection result acquisition device 202 in the embodiment of the present invention includes: a sensor signal acquisition module and an abnormality recognition module, wherein the sensor signal receiving module is used to receive and acquire the sensor signal corresponding to the target product collected by the test sensor 4 during the test process, and the abnormality recognition module is used to determine the abnormal detection result of the target product based on the sensor signal.

[0044] Optionally, the above-mentioned abnormality identification module can be specifically used to obtain the spectrum data corresponding to the sensor signal to obtain test spectrum data, and determine whether the target product is an abnormal product based on the test spectrum data, and when the target product is an abnormal product, identify the abnormal type of the abnormal product to obtain an abnormality detection result.

[0045] Optionally, the above-mentioned abnormality identification module can be specifically used to convert the sensor signal into a digital sensor signal, perform noise reduction filtering on the digital sensor signal to obtain a filtered digital signal, and perform time-frequency conversion on the filtered digital signal to obtain the above-mentioned test spectrum data.

[0046] Optionally, the above-mentioned abnormality identification module can be specifically used to determine whether the above-mentioned target product is an abnormal product based on whether the spectrum distribution pattern of the test spectrum data conforms to the spectrum distribution pattern of the spectrum data corresponding to the normal product.

[0047] Optionally, the above-mentioned abnormality identification module includes a pre-trained product abnormality type identification model, and the above-mentioned process of identifying the abnormal type of the abnormal product includes: inputting the test spectrum data corresponding to the abnormal product into the pre-trained product abnormality type identification model; and obtaining the abnormal type of the abnormal product based on the test spectrum data through the target product abnormality type identification model.

[0048] Optionally, a target product whose corresponding spectrum distribution law conforms to the spectrum distribution law of the spectrum data corresponding to a normal product is determined as a normal product, and a target product whose corresponding spectrum distribution law does not conform to the spectrum distribution law of the spectrum data corresponding to a normal product is determined as a suspected abnormal product. Then, a product abnormality type recognition model is used to try to determine the abnormality type of the suspected abnormal product. If the suspected abnormal product can be determined as one of the preset multiple abnormal types, the product is determined to be an abnormal product. Otherwise, the product is determined as a product to be verified, so that the product can be retested and verified.

[0049] Specifically, the above-mentioned abnormal type recognition model can be a machine learning model, for example, a support vector machine model and a convolutional neural network model.

[0050] Specifically, for a drum washing machine, the abnormal types of the above-mentioned abnormal products may be, for example, bolts not tightened properly, bolts not tightened properly, wiring harness not tightened properly, counterweight block falling off, reinforcement not tightened properly, screws not tightened properly, or screws not tightened properly, etc.

[0051] Optionally, the detection result acquisition device 202 is provided with a display screen for displaying abnormal detection results of the target product.

[0052] Optionally, when the target product is a normal product, the above abnormal detection result can be displayed as “normal” in black font; when the target product is an abnormal product, the above abnormal detection result can be displayed as “abnormal” in other conspicuous fonts.

[0053] Optionally, when the target product is an abnormal product, the abnormal type of the abnormal product can be displayed in red font. Specifically, the above abnormal type can be represented by a corresponding sign letter. For example:

[0054] The sign letter A for bolts not being tightened properly, the sign letter B for bolts not being tightened properly, the sign letter C for wiring harness not being tightened properly, the sign letter D for counterweight blocks falling off, the sign letter E for reinforcements not being tightened properly, the sign letter F for screws not being tightened properly; and the sign letter G for screws not being tightened properly.

[0055] Specifically, by displaying the abnormal detection results of the target product, the staff can intuitively and quickly know whether the target product is an abnormal product and the type of abnormal product, so as to sort, disassemble and inspect, check the source of the abnormality and complete product repair.

[0056] Specifically, the anomaly detection result of the target product may be sent directly to a client for easy viewing by the user without displaying it. Specifically, for example, the anomaly detection result may be sent to a mobile application terminal of the user.

[0057] Optionally, the detection result acquisition device 202 further includes an alarm module, which is used to send out an alarm signal when the abnormal detection result of the target product is an abnormal product.

[0058] Specifically, the alarm signal may be a voice signal, a flashing light signal, or the like.

[0059] The product quality inspection device based on industrial Internet provided by the embodiment of the present invention, by setting parallel and synchronously running conveyor belts, and setting a test table 201 that can automatically test the product, a test result acquisition device 202 and a placement pallet 101 on the conveyor belts, so that the process of quality testing the product does not need to rely on artificial senses, is not affected by subjective factors and personnel status, and can improve the inspection efficiency and the accuracy of the inspection results when inspecting the product at a lower cost, and improve the abnormal detection rate, thereby avoiding abnormal missed detection due to incorrect product quality inspection results, and further avoiding abnormal operation of the product during use, which affects the product's service life and user experience.

[0060] Figure 2 It is another structural schematic diagram of the product quality inspection device based on industrial Internet provided in an embodiment of the present invention.

[0061] Optional, such as Figure 2 As shown, there are multiple trays 101 placed on the first conveyor belt 1.

[0062] Specifically, the number of the plurality of placement trays 101 and the spacing distances between the placement trays 101 can be set based on the running speed of the first conveyor belt 1 , the length of the first conveyor belt 1 , and the time required for testing the target product.

[0063] Optional, such as Figure 2As shown, the number of the test stations 201 on the second conveyor belt 2 can be set to be multiple, and the multiple test stations 201 can be set in a one-to-one correspondence with the multiple placement trays 101.

[0064] Specifically, it can also be configured that one test bench corresponds to a plurality of placement trays 101 .

[0065] Optional, such as Figure 2 As shown, the number of the detection result acquisition devices 202 on the second conveyor belt 2 can be set to be multiple, and the multiple detection result acquisition devices 202 can be set in a one-to-one correspondence with the multiple placement trays 101.

[0066] Specifically, it may also be configured that one detection result acquisition device 202 corresponds to a plurality of placement trays 101 .

[0067] Optional, such as Figure 2 As shown, there are multiple test sensors 4 , and the multiple test sensors 4 correspond one-to-one to the multiple placement trays 101 .

[0068] Optionally, the detection result acquisition device 202 is also used to place a test sensor when the target product is not being tested.

[0069] Specifically, the structure on which the test sensor 4 is placed on the test result acquisition device 202 may be an independent space or an outer wall of the magnetic material of the test result acquisition device 202 .

[0070] Specifically, when the target product is not being tested, the test sensor 4 may also be stored in a corresponding storage structure pre-set on the test bench 201 .

[0071] The embodiment of the present invention can further improve the test efficiency of testing the target product by arranging multiple groups of test mechanisms including placement trays, test tables and test result acquisition devices on the conveyor belt to meet the production speed of the production line.

[0072] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the functional modules described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0073] Figure 3This is a flow chart of a product quality inspection method based on the industrial Internet provided by an embodiment of the present invention. This embodiment can be applied to the scenario of quality inspection of whether there are any abnormal assembly of components in the assembled product. This method can be applied to the product quality inspection device based on the industrial Internet provided by an embodiment of the present invention. Figure 3 The method may specifically include the following steps:

[0074] Step 301, controlling the first conveyor belt and the second conveyor belt to run synchronously through a conveyor belt control device.

[0075] Optionally, the process of controlling the first conveyor belt 1 and the second conveyor belt 2 to run synchronously by the conveyor belt control device 3 includes: controlling the first conveyor belt 1 and the second conveyor belt 2 to run at a constant speed at a preset speed.

[0076] Optionally, the above-mentioned process of controlling the synchronous operation of the first conveyor belt 1 and the second conveyor belt 2 by the conveyor belt control device 3 includes: when the placement tray 101 on the first conveyor belt 1 and the test table 201 and the detection result acquisition device 202 on the second conveyor belt 2 do not correspond to each other, the first conveyor belt 1 or the second conveyor belt 2 is controlled to change speed until the placement tray 101 on the first conveyor belt 1 and the test table 201 and the detection result acquisition device 202 on the second conveyor belt 2 correspond to each other.

[0077] Step 302: Drive the target product through the test bench for testing.

[0078] Optionally, the process of driving the target product for testing by the test bench 201 includes: driving the rotation speed of the washing machine to gradually increase from 0 r / min to the maximum rotation speed, and then gradually decrease to 0 r / min.

[0079] Specifically, the maximum speed of the above-mentioned maximum speed can be set based on the maximum speed of the target washing machine in a normal working scenario.

[0080] Specifically, the washing machine is driven to be tested by the test bench rather than by the working control module of the washing machine, which can help to complete the effective test of the washing machine in the shortest time.

[0081] Step 303: acquiring a sensor signal sent by the test sensor through a detection result acquisition device and determining an abnormality detection result of the target product based on the sensor signal.

[0082] Optionally, the above process of determining the abnormality detection result of the target product based on the sensor signal includes: acquiring the spectrum data corresponding to the sensor signal to obtain test spectrum data; and determining whether the target product is an abnormal product based on the test spectrum data, and when the target product is an abnormal product, identifying the abnormal type of the abnormal product to obtain an abnormal detection result.

[0083] Optionally, the process of determining whether the target product is an abnormal product based on the test spectrum data includes: determining whether the target product is an abnormal product based on whether the frequency distribution pattern of the test spectrum data conforms to the frequency distribution pattern of spectrum data corresponding to normal products.

[0084] Optionally, the above process of identifying the abnormal type of the abnormal product includes: inputting the test spectrum data corresponding to the abnormal product into a pre-trained product abnormal type recognition model; and obtaining the abnormal type of the abnormal product based on the test spectrum data through the target product abnormal type recognition model.

[0085] The above process of identifying the abnormal type of the abnormal product includes: inputting the test spectrum data corresponding to the abnormal product into the pre-trained product abnormal type recognition model; and obtaining the abnormal type of the abnormal product based on the test spectrum data through the target product abnormal type recognition model.

[0086] Optionally, a target product whose corresponding spectrum distribution law conforms to the spectrum distribution law of the spectrum data corresponding to a normal product is determined as a normal product, and a target product whose corresponding spectrum distribution law does not conform to the spectrum distribution law of the spectrum data corresponding to a normal product is determined as a suspected abnormal product. Then, a product abnormality type recognition model is used to try to determine the abnormality type of the suspected abnormal product. If the suspected abnormal product can be determined as one of the preset multiple abnormal types, the product is determined to be an abnormal product. Otherwise, the product is determined as a product to be verified, so that the product can be retested.

[0087] Specifically, the above-mentioned abnormal type recognition model can be a machine learning model, for example, a support vector machine model and a convolutional neural network model.

[0088] Specifically, for a drum washing machine, the abnormal types of the above-mentioned abnormal products may be, for example, bolts not tightened properly, bolts not tightened properly, wiring harness not tightened properly, counterweight block falling off, reinforcement not tightened properly, screws not tightened properly, or screws not tightened properly, etc.

[0089] Optionally, the industrial Internet-based product quality inspection method provided by an embodiment of the present invention also includes: displaying the abnormal detection results of the target product on a real screen.

[0090] Optionally, when the target product is a normal product, the above abnormal detection result can be displayed as “normal” in black font; when the target product is an abnormal product, the above abnormal detection result can be displayed as “abnormal” in other a priori fonts.

[0091] Optionally, when the target product is an abnormal product, the abnormal type of the abnormal product can be displayed in red font. Specifically, the above abnormal type can be represented by a corresponding sign letter. For example:

[0092] The sign letter A for bolts not being tightened properly, the sign letter B for bolts not being tightened properly, the sign letter C for wiring harness not being tightened properly, the sign letter D for counterweight blocks falling off, the sign letter E for reinforcements not being tightened properly, the sign letter F for screws not being tightened properly; and the sign letter G for screws not being tightened properly.

[0093] Specifically, by displaying the abnormal detection results of the target product, the staff can intuitively and quickly know whether the target product is an abnormal product and the type of abnormal product, so as to sort, disassemble and inspect, check the source of the abnormality and complete product repair.

[0094] Optionally, the product quality detection method based on industrial Internet provided by an embodiment of the present invention also includes: sending the abnormality detection results of the target product directly to a client for easy viewing by the user. For example, the abnormality detection results can be sent to the user's mobile application terminal.

[0095] In an optional specific example of the present invention, the target product is a washing machine, the test sensor 4 is a magnetic sensor, and two technicians are responsible for the product testing process, and the specific process includes:

[0096] The conveyor belt control device 3 controls the first conveyor belt 1 and the second conveyor belt 2 to run synchronously; the first technician places the magnetic vibration sensor on the washing machine at the starting end of the two conveyor belts and puts the test clothes in the washing machine, then places the washing machine on the placement tray 101 and turns on the power; the test bench 201 drives the target product for testing; the magnetic vibration sensor collects the vibration data during the test and sends it to the detection result acquisition device 202; the detection result acquisition device 202 acquires the sensor signal sent by the vibration sensor, determines the abnormal detection result of the target product based on the sensor signal, and displays the abnormal detection result on the display screen; at the end of the test, the washing machine and the detection result acquisition device 202 have reached the end of the conveyor belt, and the second staff member removes the vibration sensor on the washing machine at the end, takes out the clothes in the washing machine, adsorbs the vibration sensor on the detection result acquisition device 202, and sorts the washing machines according to the abnormal detection results.

[0097] The product quality inspection method based on industrial Internet provided by the embodiment of the present invention performs product quality inspection through the product quality inspection device based on industrial Internet provided by the embodiment of the present invention, so that the process of product quality inspection does not need to rely on artificial senses, is not affected by subjective factors and personnel status, improves the accuracy of the inspection results when inspecting the product, and improves the abnormal detection rate, thereby avoiding abnormal missed detection due to incorrect product quality inspection results, and further avoiding abnormal operation of the product during use, which affects the product's service life and user experience.

[0098] An embodiment of the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the product quality inspection method based on the industrial Internet provided in any of the above embodiments is implemented.

[0099] An embodiment of the present invention also provides a computer-readable medium on which a computer program is stored. When the program is executed by a processor, the product quality inspection method based on the industrial Internet provided in any of the above embodiments is implemented.

[0100] An embodiment of the present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements a product quality detection method based on the industrial Internet as described in any one of the embodiments of the present invention.

[0101] Reference below Figure 4 , which shows a schematic diagram of the structure of a computer system 400 of an electronic device suitable for implementing an embodiment of the present invention. Figure 4 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0102] like Figure 4 As shown, the computer system 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage part 408 into a random access memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the system 400 are also stored. The CPU 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0103] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.

[0104] In particular, according to the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 409, and / or installed from the removable medium 411. When the computer program is executed by the central processing unit (CPU) 401, the above-mentioned functions defined in the system of the present invention are executed.

[0105] It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0106] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0107] The modules and / or units involved in the embodiments of the present invention may be implemented in software or hardware.

[0108] As another aspect, the present invention further provides a computer-readable medium, which may be included in the device described in the above embodiment; or may exist independently without being assembled into the device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by a device, the device implements: controlling the first conveyor belt and the second conveyor belt to run synchronously through a conveyor belt control device; driving the target product to be tested through a test bench; and obtaining a sensor signal sent by a test sensor through a test result acquisition device and determining an abnormality detection result of the target product based on the sensor signal.

[0109] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A product quality detection device based on industrial Internet, characterized in that: include: a first conveyor belt, a second conveyor belt, a conveyor belt control device, and a test sensor; The first conveyor belt is arranged in parallel with the second conveyor belt; A placing pallet is fixedly arranged on the first conveyor belt, and a test bench and a test result acquisition device are fixedly arranged on the second conveyor belt; When performing quality inspection on the target product, the conveyor belt control device is used to control the first conveyor belt and the second conveyor belt to run synchronously, the placement pallet is used to place the target product, the test bench is used to drive the target product for testing, the test sensor is used to collect the sensor signal corresponding to the target product during the test process, and the detection result acquisition device is used to obtain and determine the abnormal detection result of the target product based on the sensor signal.

2. The product quality detection device based on industrial Internet according to claim 1 is characterized in that: The test sensor is a magnetic sensor.

3. The product quality detection device based on industrial Internet according to claim 1 is characterized in that: The number of the placement tray, the test bench, the detection result acquisition device and the test sensor is plural, and the multiple test benches, the multiple detection result acquisition devices and the multiple test sensors are respectively arranged in one-to-one correspondence with the multiple placement trays.

4. The product quality detection device based on industrial Internet according to claim 1 is characterized in that: The detection result acquisition device is also used to place the test sensor when the target product is not being tested.

5. The product quality detection device based on industrial Internet according to claim 1 is characterized in that: The detection result acquisition device is provided with a display screen for displaying the abnormality detection result.

6. A product quality detection method based on industrial Internet, characterized in that: The product quality detection device based on the industrial Internet as claimed in any one of claims 1 to 5 comprises: Controlling the first conveyor belt and the second conveyor belt to run synchronously by the conveyor belt control device; Driving the target product to be tested by the test bench; and The sensor signal sent by the test sensor is acquired through the detection result acquisition device, and the abnormal detection result of the target product is determined based on the sensor signal.

7. The product quality detection method based on industrial Internet according to claim 6 is characterized in that: The determining the abnormality detection result of the target product based on the sensor signal includes: Acquiring frequency spectrum data corresponding to the sensor signal to obtain test frequency spectrum data; and Based on the test spectrum data, it is determined whether the target product is an abnormal product, and when the target product is an abnormal product, the abnormal type of the abnormal product is identified to obtain the abnormal detection result.

8. The product quality detection method based on industrial Internet according to claim 6 is characterized in that: The target product is a washing machine, and the step of driving the target product to be tested by the test bench includes: The rotation speed of the washing machine is driven to gradually increase from 0 r / min to a maximum rotation speed, and then gradually decrease to 0 r / min.

9. The product quality detection method based on industrial Internet according to claim 7 is characterized in that: The identifying the abnormal type of the abnormal product includes: Inputting the test spectrum data corresponding to the abnormal product into a pre-trained product abnormality type recognition model; and The abnormal type of the abnormal product is obtained based on the test spectrum data through the target product abnormal type recognition model.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, it implements the product quality detection method based on the industrial Internet as described in any one of claims 6 to 9.

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