Real-time monitoring system for intelligent manufacturing

Abstract

The invention discloses a real-time monitoring system for intelligent manufacturing, relates to the technical field of intelligent information monitoring, and solves the technical problems that in manufacturing monitoring, the influence of local area network fluctuation on the whole production monitoring link is neglected, and production data and production problems are difficult to remotely monitor in the intelligent manufacturing production link. The method comprises the following steps: receiving UDP data, transmitting the received UDP data to a to-be-tested product, and receiving feedback information; the WiFi module analyzes the feedback information to obtain a test result and transmits the test result to the 4G-CAT1 module and the local recording module, and the 4G-CAT1 module forwards the test result to the storage monitoring unit; performing data processing on the test results received in real time to form a plurality of interfaces, and providing the test results of the plurality of interfaces through an applet; according to the invention, the 4G-CAT1 module and the storage monitoring unit are added in the test tool, so that the timeliness of monitoring and the stability of a monitoring system are improved.

Description

Technical Field

[0001] The present invention belongs to the field of industrial automation and relates to intelligent information monitoring technology, in particular to a real-time monitoring system for intelligent manufacturing. Background Art

[0002] With the deepening of globalization, the manufacturing industry is facing unprecedented competitive pressure. Enterprises need to improve production efficiency and quality through intelligence and automation. Real-time monitoring systems can collect and analyze data in the production process in real time, helping enterprises better understand the production status, predict and solve potential problems.

[0003] The prior art (invention patent application with publication number CN112055316B) discloses a production monitoring system and method and electronic equipment for intelligent modules. The system proposes to add a test router to the assembly line of the intelligent device so that the test-end computer is always connected to the test router. After power-on, the intelligent module to be tested actively connects to the test router so that the two are in the same local area network and then performs UDP data communication. Although the system solves the setting problem of the test-end computer and improves the test efficiency to a certain extent, it is still affected by the network environment and cannot meet the overall production rhythm; it ignores the impact of local area network fluctuations on the entire production monitoring link, and it is difficult to remotely monitor production data and production problems in the intelligent manufacturing production link, which reduces the production and monitoring efficiency of the enterprise.

[0004] Therefore, the present invention discloses a real-time monitoring system for intelligent manufacturing, which is used to solve the above technical problems. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a real-time monitoring system for intelligent manufacturing, which is used to solve the technical problems of ignoring the impact of local area network fluctuations on the entire production monitoring link in manufacturing monitoring, and difficulty in remotely monitoring production data and production problems in the intelligent manufacturing production link. The present invention receives UDP data, transmits the received UDP data to the product to be tested and receives feedback information; the WiFi module parses the feedback information to obtain the test results, and transmits the test results to the 4G-CAT1 module and the local recording module in the test software unit, and the 4G-CAT1 module forwards the test results to the storage monitoring unit; the test results received in real time are processed through data to form several interfaces, and the test results of several interfaces are provided through the mini-program to solve the above problems.

[0006] To achieve the above-mentioned object, a first aspect of the present invention provides a real-time monitoring system for intelligent manufacturing, comprising: a test tooling unit, and a test software unit and a storage monitoring unit connected thereto;

[0007] The test software unit is used to obtain the identification code, trigger the test process through the identification code and obtain UDP data; wherein the identification code includes the SN tag and MAC tag of the product to be tested, and the WiFi module belongs to the test tooling unit; the UDP data includes the identification code that is convenient for transmission through UDP broadcast;

[0008] The test fixture unit is used to connect the product to be tested to the test fixture unit; it is used to receive UDP data, transmit the received UDP data to the product to be tested and receive feedback information; the WiFi module parses the feedback information to obtain the test result, and transmits the test result to the 4G-CAT1 module and the local recording module in the test software unit, and the 4G-CAT1 module forwards the test result to the storage monitoring unit; wherein the 4G-CAT1 module belongs to the test fixture unit, and the feedback information includes the self-test result and the problem situation;

[0009] The storage monitoring unit is used to form several interfaces through data processing of the test results received in real time, and provide the test results of several interfaces through the mini-program.

[0010] It is worth noting that the present invention is applicable to a smart product production monitoring environment without a network. After the WiFi module forwards the monitoring results of the product to be tested to the 4G-CAT1 module through the serial port, the 4G-CAT1 module sends the test results to the storage monitoring unit through its own 4G network.

[0011] It is worth noting that the present invention realizes efficient remote monitoring of production data and production problem diagnosis in the intelligent manufacturing production link by adding a 4G-CAT1 module, a cloud data storage monitoring unit, and a mobile terminal applet tool to the test tooling. Compared with the existing production data which is only retained as local production records and manually combing based on historical data when production data needs to be analyzed, the real-time monitoring system of the present invention is more convenient and improves the timeliness of monitoring and the stability of the monitoring system.

[0012] Preferably, triggering the test process through identification coding and obtaining UDP data includes:

[0013] The identification code of the product to be tested is obtained through the scanning entrance of the test software unit, and the test command package corresponding to the smart product in the identification code is packaged to obtain UDP data, and the UDP data is transmitted to the WiFi module of the test tooling unit, and the test process is triggered to start running.

[0014] Preferably, the step of connecting the product to be tested to the test fixture unit includes:

[0015] Set the smart module in the product to be tested to STA mode before testing, power on the smart module and connect it to the test router, and use the test router to communicate UDP data between the smart module and the WiFi module in the test fixture unit; the STA mode allows the smart product to automatically connect to the test router after powering on.

[0016] Preferably, the step of transmitting the received UDP data to the product to be tested and receiving feedback information includes:

[0017] A1: When the WiFi module receives UDP data, it parses the SN tag and MAC tag in the UDP data; determines whether the MAC tag matches the MAC tag of the current WiFi module; if yes, jumps to A2; if no, does no processing and continues to receive UDP data;

[0018] A2: Determine whether the serial port communication between the WiFi module and the MCU electronic control in the product to be tested is normal; if yes, jump to A3; if no, mark the problem as problem one and upload it to the system for storage; the problem includes problem one and problem two;

[0019] A3: Determine whether the signal strength value of the test router obtained by the WiFi module meets the signal threshold; if yes, jump to A4; if no, mark the problem as problem 2 and upload it to the system for storage; the signal threshold is set by experience;

[0020] A4: Write the SN tag to the current WiFi module, and use the WiFi module to transmit UDP data to the smart module of the product to be tested through UDP broadcast. The smart module performs data verification and turns on the self-test mode to obtain the self-test result; wherein the self-test result includes the Bluetooth and WiFi signal strength test results of the product to be tested;

[0021] A5: Mark the self-test result as feedback information and transmit it to the current WiFi module via UDP unicast.

[0022] It should be noted that, in the problem situation in this application, problem one means that the serial port communication is abnormal; problem two means that the signal strength value of the test router does not meet the requirements.

[0023] Preferably, the smart module performs data verification and starts a self-check mode to obtain a self-check result, including:

[0024] Determine whether the SN label in the UDP data is consistent with the SN label of the current product to be tested; if yes, mark the data verification result as passed and start the self-test mode; if no, mark the data verification result as failed and store the data verification result in the database.

[0025] Preferably, the WiFi module analyzes the feedback information to obtain the test result, including:

[0026] Extract the self-test results in the feedback information, and determine whether the contents in the self-test results meet the corresponding requirements; if yes, mark the test results of the product to be tested as qualified; if no, mark the test results of the product to be tested as unqualified, and upload the corresponding unqualified content to the system for storage;

[0027] Determine whether there is a problem with the monitoring system; if yes, mark the test result of the monitoring system as passed; if no, mark the test result of the monitoring system as failed, and upload the corresponding failed content to the system for storage; the test results include the test results of the product to be tested and the monitoring system.

[0028] Preferably, the test results received in real time are processed to form several interfaces, including:

[0029] Extract the SN tag of the current product to be tested, and use the SN tag as the unique identifier of the current product to be tested in the storage monitoring unit; extract the test result of the product to be tested corresponding to the SN tag;

[0030] The Bluetooth signal strength test result of the product to be tested is set to interface one, the WiFi signal strength test result of the product to be tested is set to interface two, problem one in the problem situation is set to interface three, and problem two in the problem situation is set to interface four; among which, the Bluetooth and WiFi signal strength test results include success and failure counts, success rates, and average time required for successful connection.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1. The present invention receives UDP data, transmits the received UDP data to the product to be tested and receives feedback information; the WiFi module parses the feedback information to obtain the test results, and transmits the test results to the 4G-CAT1 module and the local recording module in the test software unit, and the 4G-CAT1 module forwards the test results to the storage monitoring unit; the test results received in real time are formed into several interfaces through data processing, and the test results of several interfaces are provided through the applet, which solves the technical problems of ignoring the impact of local area network fluctuations on the entire production monitoring link in manufacturing monitoring, and the difficulty in remotely monitoring production data and production problems in the intelligent manufacturing production link, thereby improving the production and monitoring efficiency of the enterprise.

[0033] 2. The present invention adds a 4G-CAT1 module, a cloud data storage monitoring unit, and a mobile terminal applet tool to the test tooling to achieve efficient remote monitoring of production data and production problem diagnosis in the intelligent manufacturing production link. Compared with the existing production data which is only retained as local production records and requires manual sorting based on historical data when production data needs to be analyzed, the real-time monitoring system of the present invention is more convenient and improves the timeliness of monitoring and the stability of the monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0035] Figure 1 It is a schematic diagram of the operation steps of the present invention;

[0036] Figure 2 It is a schematic diagram of the system module of the present invention;

[0037] Figure 3 It is a schematic diagram of the operation steps of obtaining feedback information of the present invention. DETAILED DESCRIPTION

[0038] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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 are within the scope of protection of the present invention.

[0039] See also Figure 1-Figure 2 , the first aspect of the present invention provides a real-time monitoring system for intelligent manufacturing, including: a test tooling unit, and a test software unit and a storage monitoring unit connected thereto;

[0040] Test software unit: used to obtain identification code, trigger the test process through identification code and obtain UDP data; the identification code includes the SN tag and MAC tag of the product to be tested, and the WiFi module belongs to the test tooling unit; the UDP data is the identification code that is convenient for transmission through UDP broadcast;

[0041] Test fixture unit: used to connect the product to be tested to the test fixture unit; used to receive UDP data, transmit the received UDP data to the product to be tested and receive feedback information; the WiFi module parses the feedback information to obtain the test results, and transmits the test results to the 4G-CAT1 module and the local recording module in the test software unit, and the 4G-CAT1 module forwards the test results to the storage monitoring unit; among them, the 4G-CAT1 module belongs to the test fixture unit, and the feedback information includes the self-test results and problem conditions;

[0042] Storage monitoring unit: used to form several interfaces through data processing of the test results received in real time, and provide the test results of several interfaces through mini-programs.

[0043] It should be noted that the SN tag is used to identify the uniqueness of the product and is a unique identification code used to distinguish different products or devices; the MAC tag is used to identify network devices in the network.

[0044] It should be noted that the transmission method for transmitting the test results to the 4G-CAT1 module and the local recording module in the test software unit is serial port transmission.

[0045] It should be noted that in the present application, the test process is triggered by identification coding and UDP data is obtained. This step packages the identification coding into UDP data to facilitate the transmission of information to the next unit via UDP broadcast transmission.

[0046] It should be noted that the WiFi module has the functions of connecting to the router, performing UDP data transmission with the smart module of the product to be tested, and receiving information sent by the test software unit through the serial port.

[0047] Exemplarily, the product to be tested in this application is a smart air conditioner;

[0048] Obtain the identification code of the smart air conditioner to be tested through the code scanning entrance of the test software unit

[0049] When the code scanning entrance of the test software unit receives the identification code of the smart air conditioner, the identification code and the test command are packaged to obtain UDP data; the UDP data is transmitted to the WiFi module, and the test process is triggered to start running; wherein the test command includes testing the Bluetooth and WiFi signal strengths of the smart air conditioner;

[0050] Power on the smart module and connect it to the test router, and use the test router to communicate UDP data between the smart module and the WiFi module in the test fixture unit;

[0051] When the WiFi module receives the UDP data, it parses the SN tag and MAC tag in the UDP data. Because the MAC tag in the UDP data matches the MAC tag of the current WiFi module, the serial port communication between the WiFi module and the MCU electronic control in the smart air conditioner is normal, and the signal strength value of the test router obtained by the WiFi module meets the signal threshold, the SN tag is written to the current WiFi module, and the WiFi module is used to transmit the UDP data to the smart module of the smart air conditioner through UDP broadcast.

[0052] Because the SN tag in the UDP data is consistent with the SN tag of the current smart air conditioner, the data verification result is marked as passed, and the self-test mode including testing the Bluetooth and WiFi signal strength of the smart air conditioner is turned on to obtain the self-test results including the Bluetooth and WiFi signal strength tests of the smart air conditioner; the self-test results are marked as feedback information and transmitted to the current WiFi module via UDP unicast;

[0053] Because the Bluetooth signal strength test in the self-test result does not meet the corresponding requirements, the test result of the smart air conditioner is marked as unqualified, and the unqualified content of the Bluetooth signal strength test is uploaded to the system for storage;

[0054] Since there is no problem with the monitoring system, the test result of the monitoring system is marked as passed in this test;

[0055] Extract the SN tag of the current smart air conditioner, and use the SN tag as the unique identifier of the current smart air conditioner in the storage monitoring unit; extract the test result of the smart air conditioner corresponding to the SN tag; set the Bluetooth signal strength test result of the smart air conditioner to interface one, set the WiFi signal strength test result of the smart air conditioner to interface two, set problem one in the problem situation to interface three, and set problem two in the problem situation to interface four; among which, the Bluetooth and WiFi signal strength test results include success and failure counts, success rates, and average time required for successful connection.

[0056] In this application, the test process is triggered by the identification code and UDP data is obtained, including:

[0057] The identification code of the product to be tested is obtained through the scanning entrance of the test software unit, and the test command package corresponding to the smart product in the identification code is packaged to obtain UDP data, and the UDP data is transmitted to the WiFi module of the test tooling unit, and the test process is triggered to start running.

[0058] It should be noted that in the present application, the transmission method for transmitting UDP data to the WiFi module of the test fixture unit is serial port transmission.

[0059] In this application, the product to be tested is connected to the test fixture unit, including:

[0060] Set the smart module in the product to be tested to STA mode before testing, power on the smart module and connect it to the test router, and use the test router to communicate UDP data between the smart module and the WiFi module in the test fixture unit; the STA mode allows the smart product to automatically connect to the test router after powering on.

[0061] It should be noted that the test router is not connected to the external network.

[0062] See also Figure 3 In this application, the received UDP data is transmitted to the product under test and feedback information is received, including:

[0063] A1: When the WiFi module receives UDP data, it parses the SN tag and MAC tag in the UDP data and determines whether the MAC tag matches the MAC tag of the current WiFi module. If yes, it jumps to A2. If no, it does not process and continues to receive UDP data.

[0064] A2: Determine whether the serial port communication between the WiFi module and the MCU electronic control in the product to be tested is normal; if yes, jump to A3; if no, mark the problem as problem one and upload it to the system for storage; the problem includes problem one and problem two;

[0065] A3: Determine whether the signal strength value of the test router obtained by the WiFi module meets the signal threshold; if yes, jump to A4; if no, mark the problem as problem 2 and upload it to the system for storage; the signal threshold is set by experience;

[0066] A4: Write the SN tag to the current WiFi module, and use the WiFi module to transmit UDP data to the smart module of the product to be tested through UDP broadcast. The smart module verifies the data and turns on the self-test mode to obtain the self-test results; the self-test results include the Bluetooth and WiFi signal strength test results of the product to be tested;

[0067] A5: Mark the self-test result as feedback information and transmit it to the current WiFi module via UDP unicast.

[0068] It should be noted that the self-test method in the self-test mode in this application is obtained based on the content of the test command in the UDP data.

[0069] It should be noted that, in the problem situation in this application, problem one means that the serial port communication is abnormal; problem two means that the signal strength value of the test router does not meet the requirements.

[0070] It should be noted that in this application, the first MAC tag used to determine whether the MAC tag matches the MAC tag of the current WiFi module is the MAC tag of the product to be tested.

[0071] It should be noted that in this application, the smart module exits the STA mode after sending the feedback information and actively disconnects from the test router.

[0072] In this application, the smart module performs data verification and turns on the self-test mode to obtain the self-test results, including:

[0073] Determine whether the SN label in the UDP data is consistent with the SN label of the current product to be tested; if yes, mark the data verification result as passed and start the self-test mode; if no, mark the data verification result as failed and store the data verification result in the database.

[0074] In this application, the WiFi module analyzes the feedback information to obtain the test results, including:

[0075] Extract the self-test results in the feedback information and determine whether the contents in the self-test results meet the corresponding requirements; if yes, mark the test results of the product to be tested as qualified; if no, mark the test results of the product to be tested as unqualified, and upload the corresponding unqualified content to the system for storage;

[0076] Determine whether there is a problem with the monitoring system; if yes, mark the test result of the monitoring system as passed; if no, mark the test result of the monitoring system as failed, and upload the corresponding failed content to the system for storage; the test results include the test results of the product to be tested and the monitoring system.

[0077] In this application, the test results received in real time are processed to form several interfaces, including:

[0078] Extract the SN tag of the current product to be tested, and use the SN tag as the unique identifier of the current product to be tested in the storage monitoring unit; extract the test result of the product to be tested corresponding to the SN tag;

[0079] The Bluetooth signal strength test result of the product to be tested is set to interface one, the WiFi signal strength test result of the product to be tested is set to interface two, problem one in the problem situation is set to interface three, and problem two in the problem situation is set to interface four; among which, the Bluetooth and WiFi signal strength test results include success and failure counts, success rates, and average time required for successful connection.

[0080] It should be noted that when a user accesses the data interface through a mini program, the system will send the processed data statistics results to the user.

[0081] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0082] Working principle of the present invention:

[0083] The identification code of the product to be tested is obtained through the scanning entrance of the test software unit, and the test command package corresponding to the smart product in the identification code is packaged to obtain UDP data, and the UDP data is transmitted to the WiFi module of the test tooling unit, and the test process is triggered to start running; the product to be tested is connected to the test tooling unit; it is used to receive UDP data, transmit the received UDP data to the product to be tested and receive feedback information; the WiFi module parses the feedback information to obtain the test results, and transmits the test results to the 4G-CAT1 module and the local recording module in the test software unit. The 4G-CAT1 module forwards the test results to the storage monitoring unit; the test results received in real time are formed into several interfaces through data processing, and the test results of several interfaces are provided through the mini program.

[0084] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A real-time monitoring system for intelligent manufacturing, characterized in that: include: A test tooling unit, and a test software unit and a storage monitoring unit connected thereto; The test software unit is used to obtain the identification code, trigger the test process through the identification code and obtain UDP data; wherein the identification code includes the SN tag and MAC tag of the product to be tested, and the WiFi module belongs to the test tooling unit; the UDP data includes the identification code that is convenient for transmission through UDP broadcast; The test fixture unit is used to connect the product to be tested to the test fixture unit; it is used to receive UDP data, transmit the received UDP data to the product to be tested and receive feedback information; the WiFi module parses the feedback information to obtain the test result, and transmits the test result to the 4G-CAT1 module and the local recording module in the test software unit, and the 4G-CAT1 module forwards the test result to the storage monitoring unit; wherein the 4G-CAT1 module belongs to the test fixture unit, and the feedback information includes the self-test result and the problem situation; The storage monitoring unit is used to form several interfaces through data processing of the test results received in real time, and provide the test results of several interfaces through the mini-program.

2. According to claim 1, a real-time monitoring system for intelligent manufacturing is characterized in that: The method of triggering the test process by identifying the code and obtaining UDP data includes: The identification code of the product to be tested is obtained through the scanning entrance of the test software unit, and the test command package corresponding to the smart product in the identification code is packaged to obtain UDP data, and the UDP data is transmitted to the WiFi module of the test tooling unit, and the test process is triggered to start running.

3. The real-time monitoring system for intelligent manufacturing according to claim 1 is characterized in that: Connecting the product to be tested to the test fixture unit includes: Set the smart module in the product to be tested to STA mode before testing, power on the smart module and connect it to the test router, and use the test router to communicate UDP data between the smart module and the WiFi module in the test fixture unit; the STA mode allows the smart product to automatically connect to the test router after powering on.

4. The real-time monitoring system for intelligent manufacturing according to claim 2 is characterized in that: The step of transmitting the received UDP data to the product to be tested and receiving feedback information includes: A1: When the WiFi module receives UDP data, it parses the SN tag and MAC tag in the UDP data; determines whether the MAC tag matches the MAC tag of the current WiFi module; if yes, jumps to A2; if no, does no processing and continues to receive UDP data; A2: Determine whether the serial port communication between the WiFi module and the MCU electronic control in the product to be tested is normal; if yes, jump to A3; if no, mark the problem as problem one and upload it to the system for storage; the problem includes problem one and problem two; A3: Determine whether the signal strength value of the test router obtained by the WiFi module meets the signal threshold; if yes, jump to A4; if no, mark the problem as problem 2 and upload it to the system for storage; A4: Write the SN tag to the current WiFi module, and use the WiFi module to transmit UDP data to the smart module of the product to be tested through UDP broadcast. The smart module performs data verification and turns on the self-test mode to obtain the self-test result; wherein the self-test result includes the Bluetooth and WiFi signal strength test results of the product to be tested; A5: Mark the self-test result as feedback information and transmit it to the current WiFi module via UDP unicast.

5. The real-time monitoring system for intelligent manufacturing according to claim 4 is characterized in that: The smart module performs data verification and starts a self-check mode to obtain a self-check result, including: Determine whether the SN label in the UDP data is consistent with the SN label of the current product to be tested; if yes, mark the data verification result as passed and start the self-test mode; if no, mark the data verification result as failed and store the data verification result in the database.

6. The real-time monitoring system for intelligent manufacturing according to claim 4 is characterized in that: The WiFi module analyzes the feedback information to obtain test results, including: Extract the self-test results in the feedback information, and determine whether the contents in the self-test results meet the corresponding requirements; if yes, mark the test results of the product to be tested as qualified; if no, mark the test results of the product to be tested as unqualified, and upload the corresponding unqualified content to the system for storage; Determine whether there is a problem with the monitoring system; if yes, mark the test result of the monitoring system as passed; if no, mark the test result of the monitoring system as failed, and upload the corresponding failed content to the system for storage; the test results include the test results of the product to be tested and the monitoring system.

7. The real-time monitoring system for intelligent manufacturing according to claim 1 is characterized in that: The test results received in real time are processed to form several interfaces, including: Extract the SN tag of the current product to be tested, and use the SN tag as the unique identifier of the current product to be tested in the storage monitoring unit; extract the test result of the product to be tested corresponding to the SN tag; The Bluetooth signal strength test result of the product to be tested is set to interface one, the WiFi signal strength test result of the product to be tested is set to interface two, problem one in the problem situation is set to interface three, and problem two in the problem situation is set to interface four; among which, the Bluetooth and WiFi signal strength test results include success and failure counts, success rates, and average time required for successful connection.

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