An interactive method and system for Internet of Things devices

Abstract

The invention discloses an interaction method and system for Internet of Things devices, and relates to the technical field of device interaction. The method of the invention classifies and divides the collection devices in a production workshop into regions, first controls the primary collection devices in each sub-region to collect data, and then preliminarily diagnoses the production safety. When the safety of the preliminary diagnosis result is insufficient, the server selects the associated sub-region according to the production relationship and interaction record between the devices in the sub-region, and then starts the secondary collection device to perform secondary collection, and then confirms the safety of the sub-region, thereby improving the flexibility and intelligence of the interaction between the devices, reducing the loss and collection cost of the collection devices, and also reducing the operating pressure of the server, improving the operating efficiency of the system, thereby ensuring the stability of the connection between the server and the device, and being able to quickly and accurately discover the abnormality in the production, thereby ensuring the safety of the production and improving the production efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of device interaction, and in particular to an interaction method and system for Internet of Things devices. Background Art

[0002] The interaction of IoT devices can be widely used in many fields such as smart homes, industrial automation and smart cities. In industrial automation, IoT devices can monitor the status of production lines in real time, and exchange data between devices and between devices and servers, realize interaction between devices, improve the response rate of devices, prevent equipment failures in advance, ensure production safety, and improve production efficiency.

[0003] In the prior art, the safety monitoring and control of production automation is mostly achieved through human-computer interaction, that is, manual control of the collection equipment at the terminal to collect data. There is a lack of classification of the collection equipment, and all the collection equipment are running continuously, which increases the loss and collection cost of the collection equipment, and at the same time increases the operating pressure of the server, affecting the operating efficiency of the system. There is no automatic selection and control of some secondary collection equipment for secondary collection based on the data feedback of the primary collection equipment, as well as the production relationship and interaction records between the equipment. The flexibility and intelligence of the interaction between devices cannot be reflected, and the burden of server data processing is increased, affecting the stability of the connection between the server and the equipment. Failures in production cannot be discovered quickly and accurately, and thus the safety of production cannot be guaranteed, and production efficiency cannot be improved. Summary of the invention

[0004] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide an interaction method and system for Internet of Things devices.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides an interactive method for Internet of Things devices, comprising the following steps: S1, dividing the production workshop into sub-areas according to the production stage, starting several first-level collection devices in each sub-area to collect first-level production data, and transmitting it to the device server.

[0006] S2. The device server uses the primary production data of each sub-area to analyze the initial production safety of each sub-area, and marks each sub-area with insufficient initial production safety as a marked sub-area. At the same time, it obtains the production relationship table and interaction records of the production workshop, confirms each associated sub-area, and then analyzes whether the device server meets the secondary monitoring of each marked sub-area and each associated sub-area at the same time. If it meets the requirements, execute S4; if not, execute S3.

[0007] S3. Use the production relationship table and interaction records of the production workshop to confirm the secondary monitoring order of each marked sub-area and the secondary monitoring order of each associated sub-area, start several secondary collection devices in each marked sub-area in turn to collect secondary production data, and then start several secondary collection devices in each associated sub-area in turn to collect secondary production data, and then execute S5.

[0008] S4. Simultaneously start a number of secondary collection devices in each marked sub-area and each associated sub-area to collect secondary production data, and then execute S5.

[0009] S5. Use the secondary production data of each marked sub-area and each associated sub-area to confirm the safety of each marked sub-area. If the safety is insufficient, analyze the danger level of each marked sub-area with insufficient safety and execute the corresponding response plan.

[0010] In a second aspect, the present invention provides an interactive system for Internet of Things devices, including: a primary collection module, used to divide the production workshop into sub-areas according to the production stage, start several first-level collection devices in each sub-area to collect first-level production data, and transmit it to the device server.

[0011] The initial processing module is used to use the primary production data of each sub-area to analyze the initial production safety of each sub-area, and mark each sub-area with insufficient initial production safety as a marked sub-area. At the same time, the production relationship table and interaction records of the production workshop are obtained to confirm each associated sub-area, and then analyze whether the device server meets the requirements for secondary monitoring of each marked sub-area and each associated sub-area. If so, the second re-collection module is executed. If not, the first re-collection module is executed.

[0012] The first re-collection module is used to use the production relationship table and interaction records of the production workshop to confirm the secondary monitoring order of each marked sub-area and the secondary monitoring order of each associated sub-area, start several secondary collection devices in each marked sub-area in turn to collect secondary production data, and then start several secondary collection devices in each associated sub-area in turn to collect secondary production data, and then execute the monitoring response module.

[0013] The second multiple collection module is used to simultaneously start a number of secondary collection devices in each marked sub-area and each associated sub-area to collect secondary production data, and then execute the monitoring response module.

[0014] The monitoring response module is used to use the secondary production data of each marked sub-area and each associated sub-area to confirm the safety of each marked sub-area. If the safety is insufficient, the danger level of each marked sub-area with insufficient safety is analyzed and the corresponding response plan is executed.

[0015] The beneficial effects of the present invention are as follows: the present invention provides an interaction method and system for Internet of Things devices, which classifies and zones the collection devices in the production workshop, first controls the first-level collection devices in each sub-area to collect data, and then preliminarily diagnoses the production safety. When the safety of the preliminary diagnosis result is insufficient, the server selects the associated sub-area based on the production relationship and interaction record between the devices in the sub-area, and then starts the second-level collection device for secondary collection, and then confirms the safety of the sub-area, thereby improving the flexibility and intelligence of the interaction between the devices, reducing the loss and collection cost of the collection equipment, and also reducing the operating pressure of the server, improving the operating efficiency of the system, thereby ensuring the stability of the connection between the server and the device, and being able to quickly and accurately discover anomalies in production, thereby ensuring the safety of production and improving production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] 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.

[0017] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method.

[0018] Figure 2 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] See also Figure 1 As shown, an interactive method for IoT devices includes the following steps: S1, dividing the production workshop into sub-areas according to the production stage, starting several first-level collection devices in each sub-area to collect first-level production data, and transmitting it to the device server.

[0021] It should be noted that the first-level collection equipment is a collection equipment with low cost, low data accuracy and low installation difficulty. The collection equipment includes sensors for collecting environment and sensors for collecting production equipment operation, such as temperature sensors and voltage sensors.

[0022] The primary and secondary collection devices in each sub-area are connected to the device server through the Internet of Things for command control and data transmission. For example, the device server transmits the startup command to the primary collection device in each sub-area through the Internet of Things to control the startup of the primary collection device.

[0023] S2. The device server uses the primary production data of each sub-area to analyze the initial production safety of each sub-area, and marks each sub-area with insufficient initial production safety as a marked sub-area. At the same time, it obtains the production relationship table and interaction records of the production workshop, confirms each associated sub-area, and then analyzes whether the device server meets the secondary monitoring of each marked sub-area and each associated sub-area at the same time. If it meets the requirements, execute S4; if not, execute S3.

[0024] In a specific embodiment, the preliminary production safety of each sub-area is analyzed as follows: the primary production data of each sub-area is compared with a preset production data safety interval. When the primary production data of a sub-area is not within the production data safety interval, it indicates that the preliminary production safety of the sub-area is insufficient; otherwise, it indicates that the preliminary production safety of the sub-area is sufficient, thereby analyzing the preliminary production safety of each sub-area.

[0025] It should be noted that production management personnel can register and log in to the equipment control platform through user terminals such as mobile phones and tablets to set production data security zones.

[0026] In another specific embodiment, the specific process of analyzing whether the device server satisfies the requirements of simultaneously performing secondary monitoring of each marked sub-area and each associated sub-area is as follows: obtaining from the production relationship table the sub-areas where each production equipment directly connected to each production equipment in each marked sub-area is located, as the associated sub-areas corresponding to each marked sub-area; obtaining from the interaction record the sub-areas where each production equipment that causes abnormal operation in other areas when security is insufficient in each marked sub-area is located, as the associated sub-areas corresponding to each marked sub-area, and the associated sub-areas corresponding to each marked sub-area are collectively referred to as associated sub-areas.

[0027] Obtain the number of secondary collection devices in each marked sub-area and the number of secondary collection devices in each associated sub-area, and add them up to obtain the number of device connections of the device server, recorded as a1. At the same time, obtain the required network resource data of each secondary collection device in each marked sub-area and each associated sub-area, and then add them up to obtain the total network resource data of the device server, recorded as b1.

[0028] It should be noted that network resource data includes but is not limited to network bandwidth and traffic.

[0029] The device connection quantity threshold and network resource data threshold of the device server are obtained from the device server, which are denoted as a2 and b2 respectively; when a1>a2 or b1>b2, it indicates that the device server cannot simultaneously perform secondary monitoring on each marked sub-area and each associated sub-area.

[0030] When a1≤a2 and b1≤b2, it indicates that the device server satisfies the requirement of performing secondary monitoring on each marked sub-area and each associated sub-area at the same time.

[0031] S3. Use the production relationship table and interaction records of the production workshop to confirm the secondary monitoring order of each marked sub-area and the secondary monitoring order of each associated sub-area, start several secondary collection devices in each marked sub-area in turn to collect secondary production data, and then start several secondary collection devices in each associated sub-area in turn to collect secondary production data, and then execute S5.

[0032] In a specific embodiment, the specific process of confirming the secondary monitoring order of each marked sub-area is as follows: obtaining the number of production equipment directly connected to each production equipment in each marked sub-area from the production relationship table as the number of externally associated production equipment in each marked sub-area; using the primary production data corresponding to each marked sub-area and the preset production data safety interval to analyze the safety difference rate corresponding to each marked sub-area; counting the number of associated sub-areas corresponding to each marked sub-area; obtaining the resource data used in each historical secondary monitoring of each marked sub-area from the interaction record, and predicting the resource data required for the secondary monitoring of each marked sub-area.

[0033] In the above, the safety difference rate corresponding to each marked sub-area is analyzed, and the specific process is as follows: when the first-level production data corresponding to a marked sub-area is less than the lower limit value of the production data safety interval, the lower limit value of the production data safety interval is subtracted from the first-level production data corresponding to the marked sub-area, and then divided by the lower limit value of the production data safety interval to obtain the safety difference rate corresponding to the marked sub-area; when the first-level production data corresponding to a marked sub-area is greater than the upper limit value of the production data safety interval, the first-level production data corresponding to the marked sub-area is subtracted from the upper limit value of the production data safety interval, and then divided by the upper limit value of the production data safety interval to obtain the safety difference rate corresponding to the marked sub-area; in this way, the safety difference rate corresponding to each marked sub-area is analyzed.

[0034] In the above, the resource data required for the secondary monitoring of each marked sub-area is predicted, and the specific process is as follows: the safety difference rate, the number of externally associated production equipment and the number of associated sub-areas corresponding to each historical secondary monitoring of each marked sub-area are obtained from the historical monitoring records of the device server, and respectively matched with the safety difference rate, the number of externally associated production equipment and the number of associated sub-areas of the corresponding marked sub-areas, and each historical secondary monitoring with the same safety difference rate, the number of externally associated production equipment and the number of associated sub-areas is selected as each reference secondary monitoring, and the resource data used in each reference secondary monitoring of each marked sub-area is averaged to obtain the resource data required for the secondary monitoring of each marked sub-area.

[0035] The number of externally associated production equipment, safety difference rate, number of associated sub-areas and resource data required for secondary monitoring of each marked sub-area are normalized and their values ​​are taken as c1 and c2. g 、c2 g 、c3 g and c4 g , g represents the number of each marked sub-region, and g is a positive integer.

[0036] According to the priority calculation formula, the priority characteristic value of the secondary monitoring of each marked sub-area is calculated, and each marked sub-area is sorted in descending order of the priority characteristic value of the secondary monitoring. The sorting result is the secondary monitoring order of each marked sub-area.

[0037] The calculation process of the priority characteristic value of the secondary monitoring of each marked sub-area is as follows: the maximum number of externally associated production equipment and the minimum number of externally associated production equipment are obtained from the number of externally associated production equipment in each marked sub-area, and are respectively recorded as c1 max and c1 min , using the formula The difference rate κ1 of the number of externally associated production equipment is obtained, and in this way the difference rate of the number of associated sub-areas and the difference rate of the resource data required for secondary monitoring are calculated, which are marked as κ2 and κ3 respectively.

[0038] By calculation formula The proportional coefficient η1 of the number of externally associated production equipment is obtained; similarly, the proportional coefficient of the number of associated sub-areas and the proportional coefficient of the resource data required for secondary monitoring are calculated, which are marked as η2 and η3 respectively.

[0039] Based on the priority calculation formula Get the priority characteristic value α of the secondary monitoring of each marked sub-area g , where e represents a natural constant.

[0040] In another specific embodiment, the analysis process of the secondary monitoring order of each associated sub-region is as follows: the associated sub-regions corresponding to each marked sub-region are compared, and when there are more than one marked sub-regions corresponding to the same associated sub-region, the marked sub-region is used as the external influence sub-region of the associated sub-region, so as to obtain the number of external influence sub-regions of each associated sub-region, and the priority characteristic values ​​of each associated sub-region corresponding to each external influence sub-region are accumulated to obtain the priority characteristic value of each associated sub-region corresponding to the external influence sub-region.

[0041] The number of times the safety of each associated sub-area is insufficient and the resource data used in each historical secondary monitoring are obtained from the interaction records, and based on the resource data used in each historical secondary monitoring, the resource data required for the secondary monitoring of each associated sub-area is predicted.

[0042] The number of externally affected sub-regions, the priority characteristic value of the externally affected sub-regions, the number of times of insufficient safety and the resource data required for secondary monitoring of each associated sub-region are normalized and their values ​​are taken as d1 and d2. f , d2 f , d3 f and d4 f , f represents the number of each associated sub-region, and f is a positive integer.

[0043] Using d1 f , d2 f , d3 f and d4 f , calculate the priority characteristic value of the secondary monitoring of each associated sub-area, and then sort the associated sub-areas in descending order of the priority characteristic value of the secondary monitoring. The sorting result is the secondary monitoring order of each associated sub-area.

[0044] In the above, the calculation process of the priority characteristic value of the secondary monitoring of each associated sub-area is: setting the proportional coefficient of the number of externally affected sub-areas, the proportional coefficient of the number of insufficient security times and the proportional coefficient of the resource data required for secondary monitoring, which are denoted as μ1, μ2 and μ3 respectively.

[0045] It should be noted that the setting process of μ1, μ2 and μ3 is the same as the process of the proportional coefficient η1 of the number of externally associated production equipment, and will not be repeated here.

[0046] Based on the calculation formula Get the priority characteristic value β of the secondary monitoring of the f-th associated sub-area f , where e represents a natural constant.

[0047] S4. Simultaneously start a number of secondary collection devices in each marked sub-area and each associated sub-area to collect secondary production data, and then execute S5.

[0048] S5. Use the secondary production data of each marked sub-area and each associated sub-area to confirm the safety of each marked sub-area. If the safety is insufficient, analyze the danger level of each marked sub-area with insufficient safety and execute the corresponding response plan.

[0049] In a specific embodiment, the analysis of the danger level of each marked sub-area with insufficient security is carried out as follows: the secondary production data of each marked sub-area is compared with a preset production data safety interval. When the secondary production data of a marked sub-area is not within the production data safety interval, it indicates that the security of the marked sub-area is insufficient. Otherwise, it indicates that the security of the marked sub-area is sufficient, thereby confirming the security of each marked sub-area.

[0050] Each marked sub-region with insufficient security is recorded as a target sub-region, and based on the secondary production data of each target sub-region and the preset production data safety interval, the safety difference rate of the secondary production data corresponding to each target sub-region is calculated.

[0051] It should be noted that the calculation process of the safety difference rate of the secondary production data corresponding to each target sub-region is the same as the safety difference rate corresponding to each marked sub-region, which will not be repeated here.

[0052] At the same time, the secondary production data of each associated sub-area corresponding to each target sub-area is extracted, the security of each associated sub-area corresponding to each target sub-area is analyzed, the associated sub-areas with insufficient security corresponding to each target sub-area are obtained, and the safety difference rate of the secondary production data of each associated sub-area with insufficient security corresponding to each target sub-area is calculated, and then accumulated to obtain the total safety difference rate of the secondary production data of the associated sub-areas corresponding to each target sub-area.

[0053] It should be noted that the analysis process of the safety of each target sub-area corresponding to each associated sub-area is the same as the analysis process of the preliminary production safety of each sub-area, which will not be repeated here.

[0054] The safety difference rate of the secondary production data corresponding to each target sub-area and the total safety difference rate of the secondary production data of the associated sub-area are normalized and their values ​​are taken and recorded as w1 and w2. q and w2 q , q represents the number of each target sub-region, and q is a positive integer.

[0055] Using w1 q and w2 q , analyze the danger factor of each target sub-area, and compare it with the danger factor corresponding to each preset danger level to obtain the danger level of each target sub-area.

[0056] In the above, the analysis process of the risk factor of each target sub-area is as follows: set the first safety difference rate proportional coefficient and the second safety difference rate proportional coefficient, which are denoted as λ1 and λ2 respectively; substitute into the analysis formula δ q =w1 q *λ1+w2 q *λ2, and obtain the risk coefficient δ of the qth target sub-area q .

[0057] It should be noted that the setting process of λ1 and λ2 is the same as that of the proportional coefficient η1 of the number of externally associated production equipment, which will not be repeated here.

[0058] Optionally, a corresponding response plan is executed, and the specific process is as follows: the production management personnel sets a response plan corresponding to each danger level in the equipment server, and when a certain danger level is reached, the response plan corresponding to the danger level is immediately started.

[0059] For example, the danger levels include level one, level two and level three, representing low danger, medium danger and high danger. The response plan for level one is for the alarm to turn on intermittent alarms; the response plan for level two is for the alarm to turn on continuous alarms; the response plan for level three is for the alarm to turn on continuous alarms, and at the same time, voice danger prompts are given in the production workshop.

[0060] See also Figure 2 As shown, an interactive system for IoT devices includes: an initial collection module, which is used to divide the production workshop into sub-areas according to the production stage, and start several first-level collection devices in each sub-area to collect first-level production data and transmit it to the device server.

[0061] The initial processing module is used to use the primary production data of each sub-area to analyze the initial production safety of each sub-area, and mark each sub-area with insufficient initial production safety as a marked sub-area. At the same time, the production relationship table and interaction records of the production workshop are obtained to confirm each associated sub-area, and then analyze whether the device server meets the requirements for secondary monitoring of each marked sub-area and each associated sub-area. If so, the second re-collection module is executed. If not, the first re-collection module is executed.

[0062] The first re-collection module is used to use the production relationship table and interaction records of the production workshop to confirm the secondary monitoring order of each marked sub-area and the secondary monitoring order of each associated sub-area, start several secondary collection devices in each marked sub-area in turn to collect secondary production data, and then start several secondary collection devices in each associated sub-area in turn to collect secondary production data, and then execute the monitoring response module.

[0063] The second multiple collection module is used to simultaneously start a number of secondary collection devices in each marked sub-area and each associated sub-area to collect secondary production data, and then execute the monitoring response module.

[0064] The monitoring response module is used to use the secondary production data of each marked sub-area and each associated sub-area to confirm the safety of each marked sub-area. If the safety is insufficient, the danger level of each marked sub-area with insufficient safety is analyzed and the corresponding response plan is executed.

[0065] The embodiment of the present invention classifies and divides the collection equipment in the production workshop into areas, first controls the first-level collection equipment in each sub-area to collect data, and then preliminarily diagnoses the production safety. When the safety of the preliminary diagnosis result is insufficient, the server selects the associated sub-area based on the production relationship and interaction record between the equipment in the sub-area, and then starts the second-level collection equipment for secondary collection, and then confirms the safety of the sub-area, thereby improving the flexibility and intelligence of the interaction between the equipment, reducing the loss and collection cost of the collection equipment, and also reducing the operating pressure of the server, improving the operating efficiency of the system, thereby ensuring the stability of the connection between the server and the equipment, and being able to quickly and accurately discover anomalies in production, thereby ensuring the safety of production and improving production efficiency.

[0066] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. An interactive method for an Internet of Things device, characterized in that: The steps include: S1. Divide the production workshop into sub-areas according to the production stage, start several first-level collection devices in each sub-area to collect first-level production data, and transmit it to the device server; S2, the device server uses the primary production data of each sub-area to analyze the preliminary production safety of each sub-area, and marks each sub-area with insufficient preliminary production safety as a marked sub-area, and at the same time obtains the production relationship table and interaction record of the production workshop, confirms each associated sub-area, and then analyzes whether the device server meets the secondary monitoring of each marked sub-area and each associated sub-area at the same time. If it meets the requirements, execute S4, if not, execute S3; The specific process of analyzing whether the device server meets the requirements of performing secondary monitoring on each marked sub-area and each associated sub-area at the same time is as follows: From the production relationship table, obtain the sub-regions where each production device directly connected to each production device in each marked sub-region is located as each associated sub-region corresponding to each marked sub-region; from the interaction record, obtain the sub-regions where each production device that causes abnormal operation in other regions when each marked sub-region is insufficient in safety is located as each associated sub-region corresponding to each marked sub-region, and the associated sub-regions corresponding to each marked sub-region are collectively referred to as each associated sub-region; Obtain the number of secondary collection devices in each marked sub-area and the number of secondary collection devices in each associated sub-area, and add them up to obtain the number of device connections of the device server, recorded as a1. At the same time, obtain the required network resource data of each secondary collection device in each marked sub-area and each associated sub-area, and then add them up to obtain the total network resource data of the device server, recorded as b1. Obtaining the device connection quantity threshold and network resource data threshold of the device server from the device server, which are recorded as a2 and b2 respectively; when a1>a2 or b1>b2, it indicates that the device server cannot satisfy the secondary monitoring of each marked sub-area and each associated sub-area at the same time; When a1≤a2 and b1≤b2, it indicates that the device server satisfies the requirement of performing secondary monitoring on each marked sub-area and each associated sub-area at the same time; S3, using the production relationship table and interaction records of the production workshop, confirm the secondary monitoring order of each marked sub-area and the secondary monitoring order of each associated sub-area, start several secondary collection devices in each marked sub-area to collect secondary production data in sequence, and then start several secondary collection devices in each associated sub-area to collect secondary production data in sequence, and then execute S5; S4, simultaneously start several secondary collection devices in each marked sub-area and each associated sub-area to collect secondary production data, and then execute S5; S5. Use the secondary production data of each marked sub-area and each associated sub-area to confirm the safety of each marked sub-area. If the safety is insufficient, analyze the danger level of each marked sub-area with insufficient safety and execute the corresponding response plan.

2. The interactive method for IoT devices according to claim 1, characterized in that: The specific process of analyzing the preliminary production safety of each sub-area is as follows: The primary production data of each sub-area is compared with the preset production data safety interval. When the primary production data of a sub-area is not within the production data safety interval, it indicates that the initial production safety of the sub-area is insufficient. Otherwise, it indicates that the initial production safety of the sub-area is sufficient. The initial production safety of each sub-area is analyzed in this way.

3. The interactive method for IoT devices according to claim 1, characterized in that: The specific process of confirming the secondary monitoring order of each marked sub-area is as follows: Obtain the number of production equipment directly connected to each production equipment in each marked sub-area from the production relationship table as the number of externally associated production equipment in each marked sub-area; use the primary production data corresponding to each marked sub-area and the preset production data safety interval to analyze the safety difference rate corresponding to each marked sub-area; count the number of associated sub-areas corresponding to each marked sub-area; obtain the resource data used in each historical secondary monitoring of each marked sub-area from the interaction record, and predict the resource data required for secondary monitoring of each marked sub-area; The number of externally associated production equipment, safety difference rate, number of associated sub-areas and resource data required for secondary monitoring of each marked sub-area are normalized and their values ​​are taken as c1 and c2. g 、c2 g 、c3 g and c4 g , g represents the number of each marked sub-region, and g is a positive integer; According to the priority calculation formula, the priority characteristic value of the secondary monitoring of each marked sub-area is calculated, and each marked sub-area is sorted in descending order of the priority characteristic value of the secondary monitoring. The sorting result is the secondary monitoring order of each marked sub-area.

4. The interactive method for IoT devices according to claim 3, characterized in that: The calculation process of the priority characteristic value of the secondary monitoring of each marked sub-area is as follows: From the number of externally associated production equipment in each marked sub-region, obtain the maximum number of externally associated production equipment and the minimum number of externally associated production equipment, which are recorded as c1 respectively. max and c1 min , using the formula The difference rate κ1 of the number of externally associated production equipment is obtained, and in this way the difference rate of the number of associated sub-areas and the difference rate of resource data required for secondary monitoring are calculated, which are marked as κ2 and κ3 respectively; By calculation formula Obtain the proportional coefficient η1 of the number of externally associated production equipment; Similarly, the proportional coefficient of the number of associated sub-areas and the proportional coefficient of resource data required for secondary monitoring are calculated, marked as η2 and η3 respectively; Based on the priority calculation formula Get the priority characteristic value α of the secondary monitoring of each marked sub-area g , where e represents a natural constant.

5. The interactive method for IoT devices according to claim 1, characterized in that: The analysis process of the secondary monitoring sequence of each associated sub-area is as follows: Compare the associated sub-regions corresponding to the marked sub-regions. When there are more than one marked sub-regions corresponding to the same associated sub-region, the marked sub-region is used as the externally-affected sub-region of the associated sub-region, so as to obtain the number of externally-affected sub-regions of each associated sub-region, and accumulate the priority characteristic values ​​of each associated sub-region corresponding to each externally-affected sub-region to obtain the priority characteristic value of each associated sub-region corresponding to the externally-affected sub-region; The number of times the safety of each associated sub-area is insufficient and the resource data used in each historical secondary monitoring are obtained from the interaction records, and based on the resource data used in each historical secondary monitoring, the resource data required for the secondary monitoring of each associated sub-area is predicted; The number of externally affected sub-regions, the priority characteristic value of the externally affected sub-regions, the number of times of insufficient safety and the resource data required for secondary monitoring of each associated sub-region are normalized and their values ​​are taken as d1 and d2. f , d2 f , d3 f and d4 f , f represents the number of each associated sub-region, and f is a positive integer; Using d1 f , d2 f , d3 f and d4 f , calculate the priority characteristic value of the secondary monitoring of each associated sub-area, and then sort the associated sub-areas in descending order of the priority characteristic value of the secondary monitoring. The sorting result is the secondary monitoring order of each associated sub-area.

6. The interactive method for IoT devices according to claim 5, characterized in that: The calculation process of the priority characteristic value of the secondary monitoring of each associated sub-area is as follows: Set the proportional coefficient of the number of sub-areas affected by external connections, the proportional coefficient of the number of times of insufficient safety, and the proportional coefficient of resource data required for secondary monitoring, which are denoted as μ1, μ2, and μ3 respectively; Based on the calculation formula Get the priority characteristic value β of the secondary monitoring of the f-th associated sub-area f , where e represents a natural constant.

7. The interactive method for IoT devices according to claim 1, characterized in that: The specific process of analyzing the danger level of each marked sub-area with insufficient safety is as follows: Compare the secondary production data of each marked sub-area with the preset production data security interval. When the secondary production data of a marked sub-area is not within the production data security interval, it indicates that the security of the marked sub-area is insufficient. Otherwise, it indicates that the security of the marked sub-area is sufficient, thereby confirming the security of each marked sub-area; Each marked sub-region with insufficient safety is recorded as each target sub-region, and based on the secondary production data of each target sub-region and the preset production data safety interval, the safety difference rate of the secondary production data corresponding to each target sub-region is calculated; At the same time, the secondary production data of each associated sub-area corresponding to each target sub-area is extracted, the safety of each associated sub-area corresponding to each target sub-area is analyzed, each associated sub-area with insufficient safety corresponding to each target sub-area is obtained, and the safety difference rate of the secondary production data of each associated sub-area with insufficient safety corresponding to each target sub-area is calculated, and then accumulated to obtain the total safety difference rate of the secondary production data of each associated sub-area corresponding to each target sub-area; The safety difference rate of the secondary production data corresponding to each target sub-area and the total safety difference rate of the secondary production data of the associated sub-area are normalized and their values ​​are taken and recorded as w1 and w2. q and w2 q , q represents the number of each target sub-region, q is a positive integer; Using w1 q and w2 q , analyze the danger factor of each target sub-area, and compare it with the danger factor corresponding to each preset danger level to obtain the danger level of each target sub-area.

8. The interactive method for IoT devices according to claim 7, characterized in that: The analysis process of the risk factor of each target sub-area is as follows: Set the first safety difference rate proportional coefficient and the second safety difference rate proportional coefficient as λ1 and λ2 respectively; substitute into the analysis formula δ q =w1 q *λ1+w2 q *λ2, and obtain the risk coefficient δ of the qth target sub-area q .

9. An interactive system for Internet of Things devices that executes the interactive method for Internet of Things devices according to any one of claims 1 to 8, characterized in that: include: The initial collection module is used to divide the production workshop into sub-areas according to the production stage, start several first-level collection devices in each sub-area to collect first-level production data, and transmit it to the device server; The primary processing module is used to analyze the preliminary production safety of each sub-area by using the primary production data of each sub-area, and mark each sub-area with insufficient preliminary production safety as a marked sub-area, and at the same time obtain the production relationship table and interaction record of the production workshop, confirm each associated sub-area, and then analyze whether the device server satisfies the secondary monitoring of each marked sub-area and each associated sub-area at the same time. If it does, the second re-collection module is executed, and if not, the first re-collection module is executed; The first recollection module is used to use the production relationship table and interaction records of the production workshop to confirm the secondary monitoring order of each marked sub-area and the secondary monitoring order of each associated sub-area, start several secondary collection devices in each marked sub-area to collect secondary production data in sequence, and then start several secondary collection devices in each associated sub-area to collect secondary production data in sequence, and then execute the monitoring response module; The second multiple collection module is used to simultaneously start a number of secondary collection devices in each marked sub-area and each associated sub-area to collect secondary production data, and then execute the monitoring response module; The monitoring response module is used to use the secondary production data of each marked sub-area and each associated sub-area to confirm the safety of each marked sub-area. If the safety is insufficient, the danger level of each marked sub-area with insufficient safety is analyzed and the corresponding response plan is executed.

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