Data real-time processing method and system based on Internet of Things information sensing technology

Abstract

The invention relates to a data real-time processing method and system based on the Internet of Things information sensing technology, and belongs to the technical field of electric digital data processing, and the method comprises the following steps: 1), collecting different physical information in real time; step 2), performing signal configuration on different physical information; step 3), performing signal conversion on each piece of configured different physical information; step 4), performing data category judgment on different digital data; step 5), processing the different digital data of different types; step 6), using the processed different digital data for execution; the beneficial effect of the invention is that the monitoring system can process and analyze product data on a production line in real time.

Description

Technical Field

[0001] The present invention belongs to the technical field of electronic digital data processing, and in particular relates to a real-time data processing method and system based on Internet of Things information sensing technology. Background Art

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

[0003] Sensing equipment 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 the product status, product parameters and other data on the production line in real time, which can further realize the optimization control and quality inspection of the product in the production process, thereby improving the production efficiency and product quality of the product. Summary of the invention

[0004] The present invention is used to solve the technical problem of how to realize the real-time processing and analysis of product data on a production line by a monitoring system. The present invention provides a real-time data processing method and system based on the information sensing technology of the Internet of Things. Within a fixed time period, each collector collects different physical information. After the different physical information is collected, the different physical information is configured by a signal configuration module, and the configured different physical information is converted by a signal conversion module. The data category of each different digital data is judged by a data judgment module. The data processing module uses a real-time data category processing method to process each different digital data, thereby realizing the real-time processing and analysis of the product data on the production line by the monitoring system.

[0005] In order to achieve the above object, the present invention is implemented by the following technical solutions:

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

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

[0008] Step 2): configuring the signals of the different physical information; wherein the signal determination allocation method is used to configure the signals of the different physical information;

[0009] Step 3): performing signal conversion on each of the configured different physical information; wherein, each of the configured different physical information is converted from an analog signal into each of the different digital data;

[0010] Step 4): determining the data category of each different digital data; wherein, a data category identification method is used to determine the data category of each different digital data;

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

[0012] Step 6): The processed digital data are used for execution.

[0013] Optionally, in step 1), various physical information is collected within a fixed time period, and the various physical information is waited to be collected. After the various physical information is collected, the various physical information is waited to perform signal configuration.

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

[0015] (1);

[0016] in, is the ith physical information, and the physical information has indivual, For each different set of physical information, In order to classify different physical information, A function for classifying different physical information;

[0017] is the i-th moment, For time period, in the time period Contains a moment, For the time period The collection of moments within For the corresponding operation of time and physical information, To set the time period Each moment in the time corresponds to an operation in different physical information. Set time period Each moment in the time corresponds to an operation function in different physical information;

[0018] To set the time period Each moment in time is aligned with different physical information;

[0019] For the allocation operation, To set the time period Each moment in the time is assigned to its own corresponding different physical information; The result is that each different physical information is first judged and then allocated.

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

[0021] Optionally, in step 4), after each configured analog signal is converted into each different digital data, each different digital data is reconfigured, and a data category identification method is used to determine and reconfigure each different digital data. The data category identification method is the following formula (2):

[0022] (2);

[0023] in, is the i-th digital data, and the digital data has indivual, for A collection of pairs of digital data;

[0024] In order to classify each digital data, determine the digital data indivual, is the unit time, In order to classify each digital data at the same time, It is a function for simultaneously judging the categories of various digital data;

[0025] To reconfigure each digital data after category judgment, and finally determine the category of each digital data; It is the reconfiguration result after the category of each digital data is determined.

[0026] Optionally, in step 5), the data category real-time processing method is used to determine whether each different digital data is determined and reconfigured at the same time. The data category real-time processing method is the following formula (3):

[0027] (3);

[0028] in, is a collection of digital data. To judge each digital data, To determine whether the digital data has been reconfigured, To determine whether each digital data has been reconfigured;

[0029] is the unit time, To set the unit time operation, To set the unit time, After the unit time is set, the unit time is a fixed unit time;

[0030] To determine whether each different digital data is determined and reconfigured simultaneously; To determine whether different digital data are simultaneously determined and reconfigured.

[0031] Optionally, in step 6), the processed different digital data are modified, and the modified different digital data are used to control the execution element.

[0032] A real-time data processing system based on Internet of Things information sensing technology, comprising:

[0033] Multiple collectors, each for collecting different types of physical information;

[0034] A signal configuration module is used for signal configuration of different types of physical information;

[0035] A signal conversion module, used to convert the configured various physical information from analog signals into various digital data;

[0036] A data judgment module is used to judge the data category of each different digital data;

[0037] A data processing module, used for processing various digital data;

[0038] From multiple collectors, they pass through the signal configuration module, signal conversion module, data judgment module and data processing module in sequence.

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

[0040] A signal distribution unit, used for configuring signals of various physical information;

[0041] A signal collection unit, used for collecting various physical information after various physical information is signal configured;

[0042] The signal distribution unit is connected to the plurality of collectors and the signal collection unit, and the signal collection unit is connected to the signal conversion module;

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

[0044] A data type determination unit, used for converting analog signals of different types into different digital data and then determining the data type of each different digital data;

[0045] A data collection unit, used for collecting various digital data;

[0046] The data type judgment unit is connected to the signal conversion module and the data collection unit, and the data collection unit is connected to the data processing module.

[0047] Beneficial effects of the present invention:

[0048] 1. In the present invention, each collector collects different physical information within a fixed time period. After the different physical information is collected, the signal configuration module is used to wait for the different physical information to be configured, and the configured different physical information is converted into signals through the signal conversion module. The data judgment module is used to judge the data category of different digital data, and the data processing module processes the data. The different digital data is executed by the execution unit, thereby realizing the real-time processing and analysis of the product data on the production line by the monitoring system.

[0049] 2. The present invention collects various physical information in real time, configures various physical information into signals, and converts the configured various physical information into signals; makes data category judgments on various digital data; uses data category real-time processing method to process various digital data of different categories, and uses the processed various digital data for execution, thereby realizing real-time processing and analysis of product data on the production line by the monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] 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.

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

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

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

[0054] Figure 4 It is the work flow chart of the present invention. DETAILED DESCRIPTION

[0055] The embodiments of the present application are described in detail below 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 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 collector collects different physical information and waits for the different physical information to be collected. After the different physical information is collected, it waits for the different physical information to be configured through the signal configuration module, and converts the configured different physical information through the signal conversion module (that is, converts the configured different physical information from analog signals into different digital data). The data judgment module then judges the data category of the different digital data. The data processing module uses the real-time data category processing method to process the different digital data. The data processing module also modifies the processed different digital data, and uses the modified different digital data to control the execution element, i.e., the execution unit.

[0059] Example 2

[0060] Based on Example 1, Figure 2 As shown, the internal results of the system of Example 1 are further refined. The first collector to the Nth collector are connected together to the signal allocation unit in the signal configuration module. The signal allocation unit performs signal configuration on various physical information. After the signal configuration on various physical information, the various physical information is collected through the signal collection unit.

[0061] The signal conversion module will then convert the configured and collected different physical information into signals.

[0062] like Figure 3 As shown, after the signal conversion module converts different types of analog signals into different digital data, the data type judgment unit performs data category judgment on the different digital data, the different digital data are collected through the data collection unit, and the data processing module processes the different digital data.

[0063] Example 3

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

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

[0066] Step 2): configuring the signals of the different physical information; wherein the signal determination allocation method is used to configure the signals of the different physical information;

[0067] Step 3): performing signal conversion on each of the configured different physical information; wherein, each of the configured different physical information is converted from an analog signal into each of the different digital data;

[0068] Step 4): determining the data category of each different digital data; wherein, a data category identification method is used to determine the data category of each different digital data;

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

[0070] Step 6): The processed digital data are used for execution.

[0071] Specifically, in step 1), various physical information is collected within a fixed time period, and the various physical information is waited to be collected. After the various physical information is collected, the various physical information is waited to perform signal configuration.

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

[0073] (1);

[0074] in, is the ith physical information, and the physical information has indivual, For each different set of physical information, In order to classify different physical information, A function for classifying different physical information;

[0075] is the i-th moment, For time period, in the time period Contains a moment, For the time period The collection of moments within For the corresponding operation of time and physical information, To set the time period Each moment in the time corresponds to an operation in different physical information. Set time period Each moment in the time corresponds to an operation function in different physical information;

[0076] To set the time period Each moment in the time period is aligned with different physical information, that is, the time period Each moment in the time corresponds to each physical information, such as: correspond , correspond , correspond , so that the time period Each moment within is randomly aligned with each physical information.

[0077] For the allocation operation, To set the time period Each moment in the time is assigned to its corresponding different physical information, that is, correspond , correspond , and so on, correspond , correspond ; The result is that each different physical information is first judged and then allocated.

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

[0079] In step 4), after each configured analog signal is converted into each different digital data, each different digital data is reconfigured, and a data category identification method is used to determine and reconfigure each different digital data. The data category identification method is the following formula (2):

[0080] (2);

[0081] in, is the i-th digital data, and the digital data has indivual, for A collection of pairs of digital data;

[0082] In order to classify each digital data, determine the digital data indivual, is the unit time, In order to classify each digital data at the same time, It is a function for simultaneously judging the categories of various digital data;

[0083] To reconfigure the digital data after classifying them, the categories of the digital data are finally determined, that is, in unit time Inside, yes After classifying each digital data, Inside, yes One, some or all of the above are ready to be executed by the execution unit; It is the reconfiguration result after the category of each digital data is determined.

[0084] In step 5), the data category real-time processing method is used to determine whether each different digital data is determined and reconfigured at the same time. The data category real-time processing method is the following formula (3):

[0085] (3);

[0086] in, is a collection of digital data. To judge each digital data, To determine whether the digital data has been reconfigured, To determine whether each digital data has been reconfigured;

[0087] is the unit time, To set the unit time operation, To set the unit time, After the unit time is set, the unit time is a fixed unit time;

[0088] To determine whether each different digital data is determined and reconfigured simultaneously; To determine whether different digital data are simultaneously determined and reconfigured.

[0089] In this way, it can be known whether each different digital data has been simultaneously subjected to category judgment and reconfiguration judgment.

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

[0091] Example 4

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

[0093] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope of the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A real-time data processing method based on Internet of Things information sensing technology, characterized in that: The steps include: Step 1): Collect various physical information in real time; Step 2): configuring the signals of the different physical information; wherein the signal determination allocation method is used to configure the signals of the different physical information; Step 3): performing signal conversion on each of the configured different physical information; wherein, each of the configured different physical information is converted from an analog signal into each of the different digital data; Step 4): determining the data category of each different digital data; wherein, a data category identification method is used to determine the data category of each different digital data; Step 5): for each different digital data of different categories, a data category real-time processing method is used to process each different digital data; Step 6): The processed digital data are used for execution.

2. According to claim 1, a real-time data processing method based on Internet of Things information sensing technology is characterized in that: In the step 1), the different physical information is collected within a fixed time period, and the different physical information is waited to be collected. After the different physical information is collected, the signal configuration of the different physical information is waited.

3. The real-time data processing method based on Internet of Things information sensing technology according to claim 1 is characterized in that: In the step 2), the signal determination allocation method is based on the principle of first determining the various physical information and then allocating them. The signal determination allocation method adopts the following formula (1): (1)； in, is the ith physical information, and the physical information has indivual, For each different set of physical information, In order to classify different physical information, A function for classifying different physical information; is the i-th moment, For time period, in the time period Contains a moment, For the time period The collection of moments within For the corresponding operation of time and physical information, To set the time period Each moment in the time corresponds to an operation in different physical information. Set time period Each moment in the time corresponds to an operation function in different physical information; To set the time period Each moment in time is aligned with different physical information; For the allocation operation, To set the time period Each moment in the time is assigned to its own corresponding different physical information; The result is that each different physical information is first judged and then allocated.

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

5. The method for real-time data processing based on Internet of Things information sensing technology according to claim 1 is characterized in that: In the step 4), after the configured analog signals are converted into the different digital data, the different digital data are reconfigured, and the data category identification method is used to determine and reconfigure the different digital data. The data category identification method is the following formula (2): (2)； in, is the i-th digital data, and the digital data has indivual, for A collection of pairs of digital data; In order to classify each digital data, determine the digital data indivual, is the unit time, In order to classify each digital data at the same time, It is a function for simultaneously judging the categories of various digital data; To reconfigure each digital data after category judgment, and finally determine the category of each digital data; It is the reconfiguration result after the category of each digital data is determined.

6. The method for real-time data processing based on Internet of Things information sensing technology according to claim 1 is characterized in that: In step 5), the data category real-time processing method is used to determine whether the different digital data are to be determined and reconfigured simultaneously. The data category real-time processing method is the following formula (3): (3); in, is a collection of digital data. To judge each digital data, To determine whether the digital data has been reconfigured, To determine whether each digital data has been reconfigured; is the unit time, To set the unit time operation, To set the unit time, After the unit time is set, the unit time is a fixed unit time; To determine whether each different digital data is determined and reconfigured simultaneously; To determine whether different digital data are simultaneously determined and reconfigured.

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

8. A real-time data processing system based on Internet of Things information sensing technology, used to execute a real-time data processing method based on Internet of Things information sensing technology according to any one of claims 1 to 7, characterized in that: include: Multiple collectors, each for collecting different types of physical information; A signal configuration module is used for signal configuration of different types of physical information; A signal conversion module, used to convert the configured various physical information from analog signals into various digital data; A data judgment module is used to judge the data category of each different digital data; A data processing module, used for processing various digital data; The plurality of collectors sequentially pass through the signal configuration module, the signal conversion module, the data judgment module and then to the data processing module.

9. The real-time data processing system based on Internet of Things information sensing technology according to claim 8 is characterized in that: The signal configuration module includes a signal distribution unit and a signal collection unit; The signal allocation unit is used to configure signals of different physical information; The signal collection unit is used to collect the different physical information after the different physical information is configured with signals; The signal distribution unit is connected to the plurality of collectors and the signal collection unit, and the signal collection unit is connected to the signal conversion module.

10. The real-time data processing system based on Internet of Things information sensing technology according to claim 8 is 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 different type of digital data; The data collection unit is used to collect various digital data; The data type determination unit is connected to the signal conversion module and the data collection unit, and the data collection unit is connected to the data processing module.

Images