A data real-time processing method and system based on internet of things information sensing technology

Abstract

The present application relates to a kind of data real-time processing method and system based on internet of things information sensing technology, belong to electric digital data processing technical field, including the following steps: step 1) real-time acquisition each different physical information;Step 2) each different physical information is configured with signal;Step 3) the signal conversion of each different physical information configured;Step 4) each different digital data is judged with data category;Step 5) each different digital data of different category is handled;Step 6) each different digital data after processing is used to execute;The beneficial effects of the present application: realize that monitoring system carries out real-time processing and analysis to product data on production line.

Description

Technical Field

[0001] This invention belongs to the field of electronic digital data processing technology, and specifically relates to a real-time data processing method and system based on Internet of Things (IoT) information sensing technology. Background Technology

[0002] The Internet of Things (IoT) is a network technology that connects products to the Internet through sensing devices or sensors, based on information carriers such as the Internet or telecommunications networks. Specifically, it is a network technology that achieves intelligent identification, positioning, tracking, monitoring, and management through communication and data interaction.

[0003] Sensing devices or sensors are used to detect products. The sensors convert the detected product data (physical information, such as product temperature, product humidity, and product surface defects) into electrical signals and send them to the real-time monitoring system. The real-time monitoring system processes and analyzes data such as product status and product parameters on the production line in real time, which can further realize functions such as optimized control and quality inspection of products in the production process, thereby improving product production efficiency and product quality. Summary of the Invention

[0004] This invention addresses the technical problem of how to achieve real-time processing and analysis of product data on the production line using a monitoring system. It provides a real-time data processing method and system based on Internet of Things (IoT) information sensing technology. Within a fixed time period, various data collectors acquire different physical information. After all the physical information is collected, it is configured through a signal configuration module, converted through a signal conversion module, and then categorized by a data judgment module. Finally, a data processing module uses a real-time data category processing method to process the different digital data, thus enabling the monitoring system to perform real-time processing and analysis of product data on the production line.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solution:

[0006] A real-time data processing method based on Internet of Things (IoT) information sensing technology includes the following steps:

[0007] Step 1): Collect various physical information in real time;

[0008] Step 2): Configure the signals for each different physical information; wherein, the signal determination and allocation method is used to configure the signals for each different physical information.

[0009] Step 3): Convert the configured physical information into signals; that is, convert the configured physical information from analog signals into different digital data.

[0010] Step 4): Determine the data category for each different numerical data; specifically, use a data category identification method to determine the data category for each different numerical data.

[0011] Step 5): For different categories of different digital data, the real-time data category processing method is used to process each different type of digital data;

[0012] Step 6): Use the processed digital data for execution.

[0013] Optionally, in step 1), different physical information is collected within a fixed time period, and the different physical information is collected. After the different physical information is collected, the signal is configured based on the different physical information.

[0014] Optionally, in step 2), the signal determination and allocation method follows the principle of determining and allocating different physical information first. The signal determination and allocation method adopts the following formula (1):

[0015] (1);

[0016] in, For the i-th physical information, the physical information has indivual, For each different set of physical information, To classify the various types of physical information. This is a function for classifying different types of physical information.

[0017] For time i, For a time period, within the time period It contains At that moment, For the time period The collection of various moments within, For operations corresponding to time and physical information, To divide the time period Each moment within the timeframe corresponds to an operation within a different piece of physical information. Time period Each moment within the timeframe corresponds to an operation function in different physical information;

[0018] To divide the time period Each moment within the timeframe is aligned with different physical information.

[0019] For allocation operations, To divide the time period Each moment within the time frame is assigned to its corresponding different physical information; The result is obtained by first judging and then allocating different physical information.

[0020] Optionally, in step 3), after each different analog signal is converted into each different digital data, the number of each different digital data is the same as the number of each different analog signal.

[0021] Optionally, in step 4), after the configured analog signals are converted into different digital data, the different digital data are reconfigured. The data category identification method is used to determine the data category and reconfigure the different digital data. The data category identification method is as follows: (2)

[0022] (2);

[0023] in, For the i-th numerical data, the numerical data has indivual, for A set of 100 pairs of numbers;

[0024] To categorize and organize various digital data, and to determine the characteristics of the digital data... indivual, For a unit of time, To simultaneously classify various numerical data, This is a function that simultaneously classifies various numerical data.

[0025] To reconfigure the data after classifying each data point, and ultimately determine the category of each data point; The reconfiguration result after classifying each numerical data item.

[0026] Optionally, in step 5), the real-time data category processing method is used to determine whether different digital data are judged and reconfigured simultaneously. The real-time data category processing method is as follows: (3)

[0027] (3);

[0028] in, A collection of various numerical data. To determine the individual numerical data, To determine whether reconfiguration operations have been performed on individual data items, To determine whether individual data points have been reconfigured;

[0029] For a unit of time, To set up operations per unit of time, To set a unit of time, Once the unit time is set, it becomes a fixed unit time.

[0030] To determine whether different numerical data should be evaluated and reconfigured simultaneously; The result is used to determine whether different numerical data are judged and reconfigured simultaneously.

[0031] Optionally, in step 6), the processed digital data is modified and the modified digital data is used to control the actuator.

[0032] A real-time data processing system based on Internet of Things (IoT) information sensing technology includes:

[0033] Multiple collectors are used to collect different types of physical information.

[0034] The signal configuration module is used for configuring signals for different categories of various physical information.

[0035] The signal conversion module is used to convert various configured physical information from analog signals into various digital data.

[0036] The data judgment module is used to determine the data category of different numerical data.

[0037] The data processing module is used to process various types of digital data;

[0038] The data is processed sequentially from multiple data acquisition units through a signal configuration module, a signal conversion module, a data judgment module, and finally a data processing module.

[0039] Optionally, the signal configuration module includes a signal distribution unit and a signal collection unit;

[0040] The signal distribution unit is used to configure signals for various different physical information.

[0041] The signal collection unit is used to collect various physical information after signal configuration of various physical information.

[0042] The signal distribution unit connects to multiple data acquisition units and signal collection units, and the signal collection units are connected to the signal conversion module.

[0043] Optionally, the data judgment module includes a data type judgment unit and a data collection unit;

[0044] The data type determination unit is used to determine the data type of each type of analog signal after converting it into different types of digital data.

[0045] The data collection unit is used to collect various types of digital data;

[0046] The data type determination unit connects to the signal conversion module and the data collection unit, which in turn connects to the data processing module.

[0047] The beneficial effects of this invention are:

[0048] 1. This invention involves various data acquisition devices collecting different physical information within a fixed time period. After all the different physical information is collected, it waits for the different physical information to be configured by the signal configuration module. The configured different physical information is then converted by the signal conversion module. The data judgment module determines the data category of the different digital data. The data processing module processes the data. The different digital data are executed by the execution unit, realizing the real-time processing and analysis of product data on the production line by the monitoring system.

[0049] 2. This invention involves real-time acquisition of various physical information, signal configuration of these physical information, signal conversion of the configured physical information, data category determination of various digital data, processing of different categories of digital data using a real-time data category processing method, and using the processed digital data for execution. This enables the monitoring system to perform real-time processing and analysis of product data on the production line. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 This is a schematic diagram of the monitoring system structure of the present invention;

[0052] Figure 2 This is a schematic diagram of the signal configuration module structure of the present invention;

[0053] Figure 3 This is a schematic diagram of the data judgment module structure of the present invention;

[0054] Figure 4 This is a flowchart of the process of the present invention. Detailed Implementation

[0055] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0056] Example 1

[0057] like Figure 1 As shown, the first collector to the Nth collector each collect different types of physical information in real time. That is, the first collector collects physical information of the first category, the second collector collects physical information of the second category, and the Nth collector collects physical information of the Nth category.

[0058] Within a fixed time period, each data acquisition unit collects different physical information. After all the physical information is collected, it is configured by the signal configuration module. The configured physical information is then converted from analog signals to digital data by the signal conversion module. The data judgment module then classifies the digital data. The data processing module processes the digital data using a real-time data classification method. The data processing module also modifies the processed digital data and uses the modified digital data to control the execution element, i.e., the execution unit.

[0059] Example 2

[0060] Based on Example 1, such as Figure 2 As shown, the internal results of the system in Embodiment 1 are further refined. The first collector to the Nth collector are connected to the signal distribution unit in the signal configuration module. The signal distribution unit configures the signals of each different physical information. After the signals of each different physical information are configured, the signal collection unit collects the different physical information.

[0061] The signal conversion module then converts the various physical information that has been configured and collected into signals.

[0062] like Figure 3 As shown, the signal conversion module converts different types of analog signals into different types of digital data. The data type judgment unit judges the data type of each type of digital data. The data collection unit collects each type of digital data. The data processing module then processes each type of digital data.

[0063] Example 3

[0064] Based on Examples 1-2, such as Figure 4 As shown, this embodiment provides a real-time data processing method based on Internet of Things (IoT) information sensing technology, including the following steps:

[0065] Step 1): Collect various physical information in real time;

[0066] Step 2): Configure the signals for each different physical information; wherein, the signal determination and allocation method is used to configure the signals for each different physical information.

[0067] Step 3): Convert the configured physical information into signals; that is, convert the configured physical information from analog signals into different digital data.

[0068] Step 4): Determine the data category for each different numerical data; specifically, use a data category identification method to determine the data category for each different numerical data.

[0069] Step 5): For different categories of different digital data, the real-time data category processing method is used to process each different type of digital data;

[0070] Step 6): Use the processed digital data for execution.

[0071] Specifically, in step 1), various physical information is collected within a fixed time period, and the various physical information is collected. After the various physical information is collected, the signals of the various physical information are configured.

[0072] In step 2), the signal determination and allocation method follows the principle of determining and allocating different physical information first. The signal determination and allocation method adopts the following formula (1):

[0073] (1);

[0074] in, For the i-th physical information, the physical information has indivual, For each different set of physical information, To classify the various types of physical information. This is a function for classifying different types of physical information.

[0075] For time i, For a time period, within the time period It contains At that moment, For the time period The collection of various moments within, For operations corresponding to time and physical information, To divide the time period Each moment within the timeframe corresponds to an operation within a different piece of physical information. Time period Each moment within the timeframe corresponds to an operation function in different physical information;

[0076] To divide the time period Each moment within a given time period is aligned with different physical information, i.e., a time interval. Each moment within the timeframe corresponds to a specific piece of physical information, such as: correspond , correspond , correspond , making the time period Each moment within the time frame is randomly aligned with each piece of physical information.

[0077] For allocation operations, To divide the time period Each moment within the time frame is assigned to its corresponding different physical information, that is... correspond , correspond And so on. correspond , correspond ; The result is obtained by first judging and then allocating different physical information.

[0078] In step 3), after each different analog signal is converted into each different digital data, the number of each different digital data is the same as the number of each different analog signal.

[0079] In step 4), after the configured analog signals are converted into different digital data, the different digital data are reconfigured. The data category identification method is used to determine the data category and reconfigure the different digital data. The data category identification method is as follows: (2)

[0080] (2);

[0081] in, For the i-th numerical data, the numerical data has indivual, for A set of 100 pairs of numbers;

[0082] To categorize and organize various digital data, and to determine the characteristics of the digital data... indivual, For a unit of time, To simultaneously classify various numerical data, This is a function that simultaneously classifies various numerical data.

[0083] To reconfigure the data after classifying each data point, and ultimately determine the category of each data point within a unit of time... Inside, to After classifying the various numerical data, and then within a unit of time... Inside, to One or more, or all of them, are prepared to be executed through the execution unit; The reconfiguration result after classifying each numerical data item.

[0084] In step 5), the real-time data category processing method is used to determine whether different digital data are judged and reconfigured simultaneously. The real-time data category processing method is as follows: (3)

[0085] (3);

[0086] in, A collection of various numerical data. To determine the individual numerical data, To determine whether reconfiguration operations have been performed on individual data items, To determine whether individual data points have been reconfigured;

[0087] For a unit of time, To set up operations per unit of time, To set a unit of time, Once the unit time is set, it becomes a fixed unit time.

[0088] To determine whether different numerical data should be evaluated and reconfigured simultaneously; The result is used to determine whether different numerical data are judged and reconfigured simultaneously.

[0089] This allows us to determine whether different numerical data have undergone both category and reconfiguration assessments simultaneously.

[0090] In step 6), the processed digital data is modified and used to control the execution element, i.e., the execution unit.

[0091] Example 4

[0092] Based on all the above embodiments, the present invention involves each collector acquiring different physical information within a fixed time period. After all the different physical information is collected, the different physical information is waited for to be configured by the signal configuration module. The configured different physical information is then converted by the signal conversion module. The data judgment module then judges the data category of the different digital data. The data processing module processes the data, and the different digital data is executed by the execution unit.

[0093] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope described in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A real-time data processing method based on Internet of Things (IoT) information sensing technology, characterized in that, Includes the following steps: Step 1): Collect various physical information in real time; Step 2): Configure the signals for each different physical information; wherein, the signal determination and allocation method is used to configure the signals for each different physical information. Step 3): Convert the configured physical information into signals; that is, convert the configured physical information from analog signals into different digital data. Step 4): Determine the data category for each different numerical data; specifically, use a data category identification method to determine the data category for each different numerical data. Step 5): For different categories of digital data, use the real-time data category processing method to process each different type of digital data; In step 5), the real-time data category processing method is used to determine whether the different digital data are judged and reconfigured simultaneously. The real-time data category processing method is as follows: (3) (3); in, A collection of various numerical data. To determine each numerical data, To determine whether reconfiguration operations have been performed on individual data items, To determine whether individual data points have been reconfigured; For a unit of time, To set up operations per unit of time, To set a unit of time, Once the unit time is set, it becomes a fixed unit time. To determine whether different numerical data should be evaluated and reconfigured simultaneously; To determine whether different numerical data are simultaneously evaluated and reconfigured; Step 6): Use the processed digital data for execution.

2. The real-time data processing method based on Internet of Things (IoT) information sensing technology according to claim 1, characterized in that, In step 1), various different physical information are collected within a fixed time period, and the various different physical information are collected. After the various different physical information is collected, the signals of the various different physical information are configured.

3. The real-time data processing method based on Internet of Things (IoT) information sensing technology according to claim 1, characterized in that, In step 2), the signal determination and allocation method is based on the principle of determining and allocating the different physical information first. The signal determination and allocation method adopts the following formula (1): (1)； in, For the i-th physical information, the physical information has indivual, For each different set of physical information, To classify the various types of physical information. This is a function for classifying different types of physical information. For time i, For a time period, within the time period It contains At that moment, For the time period The set of various moments within, For operations corresponding to time and physical information, To divide the time period Each moment within the timeframe corresponds to an operation within a different piece of physical information. Time period Each moment within the timeframe corresponds to an operation function in different physical information; To divide the time period Each moment within the timeframe is aligned with different physical information. For allocation operations, To divide the time period Each moment within the time frame is assigned to its corresponding different physical information; The result is obtained by first judging and then allocating different physical information.

4. The real-time data processing method based on Internet of Things (IoT) information sensing technology according to claim 1, characterized in that, In step 3), after the different analog signals are converted into different digital data, the number of different digital data is the same as the number of different analog signals.

5. The real-time data processing method based on Internet of Things (IoT) information sensing technology according to claim 1, characterized in that, In step 4), after the configured analog signals are converted into different digital data, the different digital data are reconfigured. The data category identification method is used to determine the data category and reconfigure the different digital data. The data category identification method is as follows: (2) (2)； in, For the i-th numerical data, the numerical data has indivual, for A set of 100 pairs of numbers; To categorize and organize various digital data, and to determine the characteristics of the digital data... indivual, For a unit of time, To simultaneously classify various numerical data, This is a function that simultaneously classifies various numerical data. To reconfigure the data after classifying each data point, and ultimately determine the category of each data point; The reconfiguration result after classifying each numerical data item.

6. The real-time data processing method based on Internet of Things (IoT) information sensing technology according to claim 1, characterized in that, In step 6), the processed digital data is modified and used to control the actuator.

7. A real-time data processing system based on Internet of Things (IoT) information sensing technology, used to execute a real-time data processing method based on IoT information sensing technology according to any one of claims 1-6, characterized in that, include: Multiple collectors are used to collect different types of physical information. The signal configuration module is used for configuring signals for different types of physical information. The signal conversion module is used to convert various configured physical information from analog signals into various digital data. The data judgment module is used to determine the data category of different numerical data. The data processing module is used to process various types of digital data; The data is processed sequentially from the plurality of data acquisition devices through the signal configuration module, the signal conversion module, the data judgment module, and finally the data processing module.

8. A real-time data processing system based on Internet of Things (IoT) information sensing technology according to claim 7, characterized in that, The signal configuration module includes a signal allocation unit and a signal collection unit; The signal allocation unit is used to configure signals for various different physical information. The signal collection unit is used to collect various physical information after configuring the signals for each different physical information. The signal distribution unit is connected to the multiple acquisition units and the signal collection unit, and the signal collection unit is connected to the signal conversion module.

9. A real-time data processing system based on Internet of Things (IoT) information sensing technology according to claim 7, characterized in that, The data judgment module includes a data type judgment unit and a data collection unit; The data type determination unit is used to convert different types of analog signals into different types of digital data, and then determine the data type of each type of digital data. The data collection unit is used to collect various different digital data. The data type determination unit is connected to the signal conversion module and the data collection unit, which is the data processing module.

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