CN115988029B - Environmental test box multi-device management method and system based on Internet of things - Google Patents
Environmental test box multi-device management method and system based on Internet of things Download PDFInfo
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Abstract
The invention provides an environmental test box multi-device management method and system based on the Internet of things, wherein the method comprises the following steps: s1: based on a control communication link of an environmental test box which is put into a current test plan in a laboratory, constructing a box distribution network of the current test plan; s2: dividing a box distribution network to obtain at least one network division cluster of each type of environment data to be managed; s3: generating a multi-thread control plan of the current test plan; s4: analyzing a real-time box supervision result of the current test plan; s5: the real-time box supervision result is sent to the remote supervision end of the Internet of things in real time; the method is used for constructing box distribution networks composed of different control communication links based on different environmental test boxes and control plans thereof which are put into the test plan each time, realizing cluster control and sub-to-be-managed environmental data control of the environmental test boxes by dividing the box distribution networks, and greatly improving the control supervision and management efficiency of a plurality of environmental test boxes in the test plan.
Description
Technical Field
The invention relates to the technical field of equipment management, in particular to an environment test box multi-equipment management method and system based on the Internet of things.
Background
At present, the remote management method of the environment test box is combined with the Internet of things, so that compared with the traditional field device management method, the labor is saved, and the management efficiency is improved.
However, when the existing environment test boxes based on the Internet of things manage a plurality of environment test boxes, the environment test boxes are respectively controlled and supervised by adopting an independent communication link, an independent control channel and a control plan, so that the information transmission amount and the data processing amount in the control and supervision process are greatly increased, and the efficiency of the control and supervision is reduced
Therefore, the invention provides an environmental test box multi-device management method and system based on the Internet of things.
Disclosure of Invention
The invention provides an environmental test box multi-equipment management method and system based on the Internet of things, which are used for constructing box distribution networks consisting of different control communication links based on different environmental test boxes and control plans thereof which are put into a test plan each time, and realizing cluster control and sub-to-be-managed environmental data control of the environmental test boxes by dividing the box distribution networks, thereby greatly improving the control supervision and management efficiency of a plurality of environmental test boxes in the test plan.
The invention provides an environmental test box multi-device management method based on the Internet of things, which comprises the following steps:
s1: based on a control communication link of an environmental test box which is put into a current test plan in a laboratory, constructing a box distribution network of the current test plan;
s2: dividing a box distribution network based on a control plan of all environmental data to be managed of each environmental test box to obtain at least one network division cluster of each environmental data to be managed;
s3: generating a multithread control plan of a current test plan based on control plans of all environmental data to be managed of the environmental test boxes contained in the network partition cluster;
s4: analyzing a real-time box supervision result of a current test plan based on real-time environment data to be managed and a multithread control plan of each environment test box in the box distribution network;
s5: and sending the real-time box supervision result to the remote supervision end of the Internet of things in real time.
Preferably, the method for managing multiple devices in an environmental test box based on the internet of things comprises the following steps of: based on the control communication link of the environmental test box put into the current test plan in the test room, a box distribution network of the current test plan is built, comprising:
S101: screening out a control communication link of each environmental test box based on a cross-layer communication path between each environmental test box in the test room and the remote control end of the Internet of things, wherein the environmental test boxes are put into the current test plan;
s102: and summarizing and connecting control communication links of environmental test boxes which are put into the current test plan in the test room to obtain a box distribution network of the current test plan.
Preferably, the method for managing multiple devices in an environmental test box based on the internet of things comprises the following steps of: screening out a control communication link of each environmental test box based on a cross-layer communication path between each environmental test box in the test room and the remote control end of the Internet of things, which is put into the current test plan, comprising:
determining a cross-layer communication path of each environmental test box in the test room, which is put into the current test plan;
taking the communication end node of each environment test box as a corresponding starting node, and screening out a reserved secondary starting end node cluster of each starting node based on a cross-layer communication path of each environment test box;
calculating a first transmission quality evaluation value corresponding to the reserved secondary initial end node based on the estimated traffic of each environmental test box and the transmission distance between the initial node and the reserved secondary initial end node;
Determining the secondary start end selected times of each reserved secondary start end node based on reserved secondary start end node clusters of each environment test box, and calculating the first selectable probability of each reserved secondary start end node based on the secondary start end selected times and the corresponding first transmission quality evaluation value;
taking each reserved secondary initial node as a new initial node, and screening a secondary initial selectable node cluster of each new initial node based on a cross-layer communication path of each environment test box;
calculating a second transmission quality evaluation value corresponding to the secondary start end selectable node based on the estimated traffic of each environmental test box and the transmission distance between the corresponding new start node and the corresponding secondary start end selectable node;
calculating a second selectable probability of each secondary start selectable node based on the current selected times of the secondary start selectable nodes and the corresponding second transmission quality evaluation value;
based on the second selectable probability of the secondary start end selectable node and the first selectable probability of the corresponding start node, calculating the current comprehensive selectable probability of the corresponding secondary start end selectable node;
deleting the secondary starting end selectable node of which the current comprehensive selectable probability does not exceed the selectable probability threshold value, and obtaining a reserved secondary starting end selectable node cluster of the new starting node;
Taking the newly determined reserved secondary start end selectable node cluster as a new start node, screening out a secondary start end selectable node cluster of each new start node based on a cross-layer communication path of each environment test box, and determining all alternative links of each environment test box based on all reserved secondary start end selectable node clusters determined from the communication end node of the corresponding environment test box to the remote control end node of the Internet of things when the newly screened secondary start end selectable node is only the remote control end node of the Internet of things;
and screening control communication links corresponding to the environmental test boxes from all the alternative links based on the estimated traffic of each environmental test box and the bearing requirements of the communication links between every two adjacent levels between each environmental test box and the remote control end of the Internet of things.
Preferably, the method for managing multiple devices in an environmental test box based on the internet of things comprises the following steps of: dividing a box distribution network based on a control plan of all environmental data to be managed of each environmental test box to obtain at least one network division cluster of each environmental data to be managed, including:
determining a control plan of each environmental data to be managed of the environmental test box based on the test requirements of the products to be tested in the environmental test box;
And dividing the box distribution network based on the environment data control curve corresponding to each control plan to obtain at least one network division cluster of each type of environment data to be managed.
Preferably, in the method for managing multiple devices in an environmental test box based on the internet of things, the box distribution network is divided based on an environmental data control curve corresponding to each control plan, and at least one network division cluster of each type of environmental data to be managed is obtained, including:
generating an environmental data control curve of all environmental data to be managed of each environmental test box based on the control plan of all environmental data to be managed of each environmental test box;
screening a first environmental test box cluster with the same type of environmental data to be managed from a box distribution network, and calculating a first similarity between environmental data control curves of the corresponding type of environmental data to be managed of every two environmental test boxes in the first environmental test box cluster;
taking the average value of the first similarity between each environmental test box in the first environmental test box cluster and all the remaining environmental test boxes except the corresponding environmental test box in the first environmental test box cluster as the first comprehensive similarity of the corresponding environmental data to be managed of the corresponding environmental test box;
Taking the environmental test box with the maximum first comprehensive similarity in each first environmental test box cluster as a division center to obtain a plurality of division centers corresponding to environmental data to be managed;
calculating the kind coincidence degree between the environmental data to be managed of each environmental test box and the environmental data to be managed of each environmental test box of each division center;
calculating the concentration degree of each environmental test box and the corresponding division center based on the kind coincidence degree between the environmental data to be managed of each environmental test box and the environmental data to be managed of the environmental test box of the division center and the second similarity between the environmental data control curves of the corresponding kinds of the environmental data to be managed of each environmental test box and the division center;
taking the cluster of the partition center corresponding to the maximum aggregation degree of each environmental test box as the cluster of the corresponding environmental data to be managed of the corresponding environmental test box;
summarizing all environment test boxes in which the clusters are located, and obtaining at least one network partition cluster corresponding to the environment data to be managed.
Preferably, the method for managing multiple devices in an environmental test box based on the internet of things comprises the following steps of: generating a multi-thread control plan of a current test plan based on control plans of all environmental data to be managed of environmental test boxes contained in the network partition cluster, comprising:
Generating control threads corresponding to the network partition clusters based on control plans of all environmental data to be managed of the environmental test boxes contained in the network partition clusters;
and dividing clustered control threads based on the network of all the environmental data to be managed, and generating a multi-thread control plan of the current test plan.
Preferably, in the method for managing multiple devices of environmental test cases based on the internet of things, based on a control plan of all environmental data to be managed of the environmental test cases contained in the network partition clusters, a control thread corresponding to the network partition clusters is generated, including:
generating an environment data control curve of all environment data to be managed of each environment test box in the network partition cluster based on a control plan of all environment data to be managed of the environment test boxes contained in the network partition cluster;
and generating control threads corresponding to the network division clusters based on the environmental data control curves of all the environmental data to be managed of each environmental test box in the network division clusters.
Preferably, the method for managing multiple devices in an environmental test box based on the internet of things comprises the following steps of: based on the real-time environment data to be managed and the multithread control plan of each environment test box in the box distribution network, analyzing the real-time box supervision result of the current test plan, comprising:
Controlling the environmental data of all environmental test boxes in the box distribution network based on a multithread control plan to obtain an environmental data control result;
and analyzing the real-time box supervision result of the current test plan based on the real-time environment data to be managed, the multithread control plan and the environment data control result of each environment test box in the box distribution network.
Preferably, the method for managing multiple devices of environmental test boxes based on the internet of things, based on real-time environmental data to be managed, a multithread control plan and environmental data control results of each environmental test box in a box distribution network, analyzes real-time box supervision results of a current test plan, includes:
judging whether the data source of the environmental data to be managed of the environmental test box is direct measurement or not, if so, analyzing and extracting the omnibearing image in the environmental test box to obtain the real-time environmental data to be managed of the corresponding type of environmental data to be managed;
otherwise, analyzing and extracting real-time monitoring images of measuring tools in the corresponding environment test boxes corresponding to the environment data to be managed to obtain real-time environment data to be managed of corresponding types of environment data of the corresponding environment test boxes;
Determining target management environment data of each environment test box based on the environment data control result and the multithread control plan;
based on the real-time environment data to be managed and the target management environment data of each environment test box in the box distribution network, judging whether the corresponding environment test box has abnormal control or not, and obtaining a real-time box supervision result of each environment test box.
The invention provides an environmental test box multi-device management system based on the Internet of things, which comprises:
the building module is used for building a box distribution network of the current test plan based on a control communication link of an environmental test box which is put into the current test plan in the laboratory;
the division module is used for dividing the box distribution network based on the control plans of all the environmental data to be managed of each environmental test box, and obtaining at least one network division cluster of each environmental data to be managed;
the generation module is used for generating a multithreading control plan of the current test plan based on the control plans of all environmental data to be managed of the environmental test boxes contained in the network partition cluster;
the analysis module is used for analyzing the real-time box supervision result of the current test plan based on the real-time environment data to be managed and the multithread control plan of each environment test box in the box distribution network;
And the sending module is used for sending the real-time box supervision result to the remote supervision end of the Internet of things in real time.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flowchart of an environmental test box multi-device management method based on the Internet of things in an embodiment of the invention;
FIG. 2 is a flowchart of another environmental test chamber multi-device management method based on the Internet of things in an embodiment of the invention;
fig. 3 is a schematic diagram of an environmental test box multi-device management system based on the internet of things according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
the invention provides an environmental test box multi-device management method based on the Internet of things, which referring to FIG. 1, comprises the following steps:
s1: based on a control communication link of an environmental test box which is put into a current test plan in a laboratory, constructing a box distribution network of the current test plan;
s2: dividing a box distribution network based on a control plan of all environmental data to be managed of each environmental test box to obtain at least one network division cluster of each environmental data to be managed;
s3: generating a multithread control plan of a current test plan based on control plans of all environmental data to be managed of the environmental test boxes contained in the network partition cluster;
s4: analyzing a real-time box supervision result of a current test plan based on real-time environment data to be managed and a multithread control plan of each environment test box in the box distribution network;
s5: and sending the real-time box supervision result to the remote supervision end of the Internet of things in real time.
In this embodiment, the laboratory is the space where all environmental test chambers that need to be managed by multiple devices are installed.
In this embodiment, the current test plan is a specific test plan of all or part of the environmental test chambers currently required to test (test) products in the laboratory, and specifically includes: the tested experimental products put in each environmental test box and the data (such as temperature data or humidity data) of the environmental data in the corresponding environmental test box in the test process along with the time change.
In this embodiment, the control communication link is a communication link between each environmental test chamber and the remote control end of the internet of things in the execution process of the current test plan, where the control communication link is used to acquire real-time environmental data to be managed of the corresponding environmental test chamber (i.e. environmental data that needs to be supervised and managed by the environmental test chamber acquired in real time, such as real-time temperature or real-time humidity in the corresponding environmental test chamber) and transmit a supervision control instruction sent by the remote control end of the internet of things to the corresponding environmental test chamber.
In the embodiment, the box distribution network is a network which is formed by constructing a control communication link of the environmental test boxes which are put into the current test plan in the laboratory and characterizes the distribution positions of communication links, which are passed by all the environmental test boxes and the remote control end of the Internet of things in the current test plan, in the existing communication link.
In this embodiment, the environmental data to be managed is environmental data that needs to be set over time when the test product is tested in the environmental test box, and a single environmental test box can simultaneously provide multiple environmental data, such as temperature data or humidity data, when testing the same test product, so the environmental data to be managed of each environmental test box can also be multiple.
In this embodiment, the control plan is a plan containing various in-box environmental data to be set up in the test Guo Chen corresponding to the environmental test box.
In this embodiment, the network partition cluster is a cluster including a plurality of environmental test boxes, where at least one of the environmental data to be managed is obtained by partitioning the box distribution network based on a control plan of all environmental data to be managed of each environmental test box.
In this embodiment, the multithreading control plan is a control plan for executing a plurality of threads simultaneously based on a current test plan generated by a control plan of all environmental data to be managed of the environmental test boxes included in the network partition cluster, for example: the temperature of the environmental test chamber in the network division cluster a was set to 80 ℃ and the air pressure of the environmental test chamber in the network division cluster B was set to 80% rh in the period between the start of execution of the test plan and 1 hour.
In this embodiment, the real-time box supervision result is a result including real-time status supervision of the environmental test boxes put into the current test plan based on the real-time to-be-managed environmental data and the multi-thread control plan partition of each environmental test box in the box distribution network (mainly supervising whether each environmental test box is provided with corresponding environmental data by installing a control plan or not, that is, supervising whether each environmental test box has a control abnormality or not).
In this embodiment, the remote monitoring end of the internet of things is a communication end that performs remote monitoring (receives real-time monitoring results) on all environmental test boxes that need to be managed in the internet of things.
The beneficial effects of the technology are as follows: based on different environmental test boxes which are put into the test plan each time and control plans thereof, box distribution networks consisting of different control communication links are constructed, cluster control and sub-to-be-managed environmental data control of the environmental test boxes are realized by dividing the box distribution networks, and the control supervision and management efficiency of a plurality of environmental test boxes in the test plan is greatly improved.
Example 2:
based on the embodiment 1, the environmental test box multi-device management method based on the internet of things comprises the following steps of: based on the control communication link of the environmental test chamber in the laboratory, which is put into the current test plan, a chamber distribution network of the current test plan is built, and referring to fig. 2, the method comprises:
s101: screening out a control communication link of each environmental test box based on a cross-layer communication path between each environmental test box in the test room and the remote control end of the Internet of things, wherein the environmental test boxes are put into the current test plan;
s102: and summarizing and connecting control communication links of environmental test boxes which are put into the current test plan in the test room to obtain a box distribution network of the current test plan.
In this embodiment, the cross-layer communication path is a communication level that needs to be crossed when the corresponding environmental test box communicates with the remote control end of the internet of things, for example: the communication end node of the environment test box is at the 5 th layer, and the remote control end node of the internet of things is at the 1 st layer, the corresponding cross-layer communication path is as follows: 5 layers → 4 layers → 3 layers → 2 layers → 1 layer.
The beneficial effects of the technology are as follows: the control communication links corresponding to the environment test boxes are screened and determined in all existing communication links based on the cross-layer communication paths between each environment test box which is put into the current test plan in the test room and the remote control end of the Internet of things, so that a box distribution network of the current test plan is built, different communication links and distribution networks are produced based on different designs of the environment test boxes which are put into the current test plan, and the defect that the single control link and the single control method of the traditional Internet of things on a plurality of environment test boxes are low in efficiency is overcome.
Example 3:
based on embodiment 2, the environmental test box multi-device management method based on the internet of things is as follows, and S101: screening out a control communication link of each environmental test box based on a cross-layer communication path between each environmental test box in the test room and the remote control end of the Internet of things, which is put into the current test plan, comprising:
Determining a cross-layer communication path of each environmental test box in the test room, which is put into the current test plan;
taking the communication end node of each environment test box as a corresponding starting node, and screening out a reserved secondary starting end node cluster of each starting node based on a cross-layer communication path of each environment test box;
calculating a first transmission quality evaluation value corresponding to the reserved secondary initial end node based on the estimated traffic of each environmental test box and the transmission distance between the initial node and the reserved secondary initial end node;
determining the secondary start end selected times of each reserved secondary start end node based on reserved secondary start end node clusters of each environment test box, and calculating the first selectable probability of each reserved secondary start end node based on the secondary start end selected times and the corresponding first transmission quality evaluation value;
taking each reserved secondary initial node as a new initial node, and screening a secondary initial selectable node cluster of each new initial node based on a cross-layer communication path of each environment test box;
calculating a second transmission quality evaluation value corresponding to the secondary start end selectable node based on the estimated traffic of each environmental test box and the transmission distance between the corresponding new start node and the corresponding secondary start end selectable node;
Calculating a second selectable probability of each secondary start selectable node based on the current selected times of the secondary start selectable nodes and the corresponding second transmission quality evaluation value;
based on the second selectable probability of the secondary start end selectable node and the first selectable probability of the corresponding start node, calculating the current comprehensive selectable probability of the corresponding secondary start end selectable node;
deleting the secondary starting end selectable node of which the current comprehensive selectable probability does not exceed the selectable probability threshold value, and obtaining a reserved secondary starting end selectable node cluster of the new starting node;
taking the newly determined reserved secondary start end selectable node cluster as a new start node, screening out a secondary start end selectable node cluster of each new start node based on a cross-layer communication path of each environment test box, and determining all alternative links of each environment test box based on all reserved secondary start end selectable node clusters determined from the communication end node of the corresponding environment test box to the remote control end node of the Internet of things when the newly screened secondary start end selectable node is only the remote control end node of the Internet of things;
and screening control communication links corresponding to the environmental test boxes from all the alternative links based on the estimated traffic of each environmental test box and the bearing requirements of the communication links between every two adjacent levels between each environmental test box and the remote control end of the Internet of things.
In this embodiment, the communication end node is a node of a communication terminal of the environmental test chamber.
In this embodiment, the cluster of the secondary start node is reserved, that is, a cluster obtained after the nodes in the previous hierarchy of the start node can be summarized with the nodes that can communicate with the corresponding start node.
In the embodiment, the estimated traffic is estimated traffic to be transmitted in the control and supervision process of the remote control end of the internet of things of each environmental test box.
In this embodiment, the transmission distance is the length of the communication link between the initial node and the corresponding reserved secondary initial node.
In this embodiment, calculating the first transmission quality evaluation value corresponding to the reserved secondary start node based on the estimated traffic of each environmental test chamber and the transmission distance between the start node and the reserved secondary start node includes:
calculating a first ratio of the estimated traffic of each environmental test box to the maximum bearing capacity of the communication link between the initial node and the corresponding reserved secondary initial node;
calculating a second ratio of the maximum transmission distance between adjacent levels to the transmission distance between the initial node and the corresponding reserved secondary initial node;
and taking the product of the first ratio and the second ratio as a first transmission quality evaluation value corresponding to the reserved secondary initial end node.
In this embodiment, the number of times the secondary start node is selected is the number of times the corresponding reserved secondary start node is selected as the reserved secondary start node by a different start node.
In this embodiment, the secondary start node is a node in the previous hierarchy of the start node that can communicate with the corresponding start node.
In this embodiment, calculating the first selectable probability of each reserved secondary start node based on the selected number of secondary start nodes and the corresponding first transmission quality evaluation value includes:
the ratio of the first transmission quality evaluation value and the selected number of times of the secondary start is taken as a first selectable probability of reserving the secondary start node.
In this embodiment, screening the secondary start selectable node cluster of each new start node based on the cross-layer communication path of each environmental test box includes:
and screening out clusters which are obtained after the nodes which can communicate with the new starting nodes are summarized in the upper layer of each new starting node based on the cross-layer communication path.
In this embodiment, calculating the second transmission quality evaluation value of the corresponding secondary start end selectable node based on the estimated traffic of each environmental test chamber and the transmission distance between the corresponding new start node and the corresponding secondary start end selectable node includes:
Calculating a third ratio of the estimated traffic of each environmental test box to the maximum bearing capacity of the communication link between the new initial node and the corresponding secondary initial end selectable node;
calculating a fourth ratio of the maximum transmission distance between adjacent layers to the transmission distance between the new initial node and the corresponding secondary initial end selectable node;
and taking the product of the third ratio and the fourth ratio as a second transmission quality evaluation value of the corresponding secondary initial end selectable node.
In this embodiment, calculating the second alternative probability of each secondary start optional node based on the current selected number of times of the secondary start optional node and the corresponding second transmission quality evaluation value includes:
and taking the ratio of the second transmission quality evaluation value to the current selected times of the secondary initial end selectable node as the second selectable probability of the corresponding secondary initial end selectable node.
In this embodiment, calculating the current comprehensive selectable probability of the corresponding secondary start selectable node based on the second selectable probability of the secondary start selectable node and the first selectable probability of the corresponding start node includes:
and taking the product of the second selectable probability of the secondary initial end selectable node and the first selectable probability of the corresponding initial node as the current comprehensive selectable probability of the corresponding secondary initial end selectable node.
In this embodiment, the selectable probability threshold is the minimum current comprehensive selectable probability that needs to be met when the reserved next-start selectable node is adopted as the new start node.
In this embodiment, the alternative link is an alternative link for implementing communication between the environment test box and the remote control end of the internet of things, which is determined based on all reserved secondary start end alternative node clusters determined from the communication end node of the corresponding environment test box to the remote control end node of the internet of things.
In this embodiment, the bearer requirement is the maximum bearing capacity of the communication link.
In this embodiment, based on the estimated traffic of each environmental test box and the load-bearing requirement of the communication link between each environmental test box and every two adjacent levels between the remote control end of the internet of things, the control communication links of the corresponding environmental test boxes are selected from all the alternative links, namely:
based on the estimated communication quantity of each environmental test box and the maximum bearing capacity corresponding to the bearing requirement of the communication link between each two adjacent levels between each environmental test box and the remote control end of the Internet of things, the control communication link of each environmental test box is determined, and the determined control communication link between each environmental test box and the remote control end of the Internet of things is ensured to meet the bearing requirement of the communication link between each two adjacent levels.
The beneficial effects of the technology are as follows: the method comprises the steps of determining reserved secondary initial end nodes layer by layer from communication end nodes of the environment test boxes, calculating transmission quality evaluation values and selectable probabilities of the reserved secondary initial end nodes and current comprehensive selectable probabilities, realizing layer-by-layer screening of the transmission nodes based on transmission distances, estimated communication quantities and selected total times, further determining all alternative links of each environment test box, and finally selecting and deploying the alternative links based on bearing requirements of communication links between adjacent layers, so that screening of communication links with an Internet of things remote control end based on actual communication conditions of the environment test boxes is realized, information transmission efficiency is improved, and supervision and control efficiency of the environment test boxes is also improved.
Example 4:
based on the embodiment 1, the environmental test box multi-device management method based on the internet of things comprises the following steps of: dividing a box distribution network based on a control plan of all environmental data to be managed of each environmental test box to obtain at least one network division cluster of each environmental data to be managed, including:
determining a control plan of each environmental data to be managed of the environmental test box based on the test requirements of the products to be tested in the environmental test box;
And dividing the box distribution network based on the environment data control curve corresponding to each control plan to obtain at least one network division cluster of each type of environment data to be managed.
In this embodiment, the product to be tested is the product that needs to be tested in the environmental test chamber in the current test plan.
In this example, the test requires, for example, testing the high temperature resistance properties of the product to be tested, for example: the product to be tested is tested for a limit time that remains free of melt deformation at a temperature of 100 degrees.
In this embodiment, based on the test requirements of the product to be tested in the environmental test chamber, a control plan for each type of environmental data to be managed of the environmental test chamber is determined, for example:
the test requires that the temperature of the environmental test box corresponding to the product to be tested is set to be constant at 100 ℃ as a control plan of temperature management data of the corresponding environmental test box for testing the limit time of the product to be tested which keeps not melting deformation at the temperature of 100 ℃.
The beneficial effects of the technology are as follows: the method comprises the steps of determining a control plan of each type of environmental data to be managed of the environmental test box based on test requirements of products to be tested in the environmental test box, dividing a box distribution network based on an environmental data control curve corresponding to each control plan, and obtaining at least one network division cluster of each type of environmental data to be managed.
Example 5:
based on embodiment 4, the method for managing multiple devices in an environmental test box based on the internet of things divides a box distribution network based on an environmental data control curve corresponding to each control plan, and obtains at least one network division cluster of each environmental data to be managed, including:
generating an environmental data control curve of all environmental data to be managed of each environmental test box based on the control plan of all environmental data to be managed of each environmental test box;
screening out a first environmental test box cluster with the same kind of environmental data to be managed from a box distribution network,
wherein ε c For the kind coincidence, z, between the environmental data to be managed of the environmental test chamber currently calculated and the environmental data to be managed of the environmental test chamber of the partition center currently calculated 1 To-be-managed ring for environmental test chamber of current computingTotal number of categories of context data, z 2 The method comprises the steps that the total number of types of the environmental data to be managed of the environmental test box of the currently calculated division center is set as the total number of types of the environmental data to be managed of the environmental test box of the currently calculated division center, and c is the total number of types consistent with the total number of types of the environmental data to be managed of the environmental test box of the currently calculated division center;
The kind coincidence degree between the environmental data to be managed of each environmental test box and the environmental data to be managed of the environmental test box of each division center can be accurately calculated based on the formula.
In this embodiment, calculating the concentration degree of each environmental test chamber and the corresponding division center based on the kind coincidence between the environmental data to be managed of each environmental test chamber and the environmental data to be managed of the environmental test chamber of the division center and the second similarity between the environmental data control curves of the corresponding kinds of environmental data to be managed of each environmental test chamber and the division center includes:
and taking the product of the kind coincidence degree between the to-be-managed environmental data of each environmental test box and the to-be-managed environmental data of the environmental test box of the division center and the second similarity degree between the environmental data control curves of the corresponding environmental test boxes and the corresponding to-be-managed environmental data of the division center as the concentration degree of the corresponding environmental test boxes and the corresponding division center.
In this embodiment, the cluster is located in a corresponding environmental test chamber.
The beneficial effects of the technology are as follows: the method comprises the steps of calculating the dividing center of network dividing clusters and the aggregation degree of each remaining environment test box by analyzing the similarity between environment data control curves of the same type of environment data to be managed among the environment test boxes and the variety coincidence degree of the environment data to be managed among the environment test boxes, further realizing the cluster analysis of all the environment test boxes, dividing at least one network dividing cluster of each variety of environment data to be managed based on the cluster analysis result, enabling the environmental data control coincidence degree of the network dividing clusters obtained by division to be higher, and greatly reducing the data transmission quantity and the calculation quantity.
Example 6:
based on the embodiment 1, the environmental test box multi-device management method based on the internet of things comprises the following steps of: generating a multi-thread control plan of a current test plan based on control plans of all environmental data to be managed of environmental test boxes contained in the network partition cluster, comprising:
generating control threads corresponding to the network partition clusters based on control plans of all environmental data to be managed of the environmental test boxes contained in the network partition clusters;
and dividing clustered control threads based on the network of all the environmental data to be managed, and generating a multi-thread control plan of the current test plan.
In this embodiment, the control thread is a recording thread of environmental data that should be set by all environmental data to be managed including the environmental test chamber according to time variation.
In this embodiment, the multithreading control plan is a multithreading plan obtained by summarizing control threads of the network partition clusters of all environmental data to be managed.
The beneficial effects of the technology are as follows: the method and the system realize that the control threads based on all the environmental data to be managed of the environmental test boxes contained in the network partition cluster generate the multithread control plan of the current test plan, so that the management control of a plurality of environmental test boxes is more orderly, and the equipment management efficiency is improved.
Example 7:
based on embodiment 1, the method for managing multiple devices of an environmental test box based on the internet of things generates a control thread corresponding to a network partition cluster based on a control plan of all environmental data to be managed of the environmental test box contained in the network partition cluster, and includes:
generating an environment data control curve of all environment data to be managed of each environment test box in the network partition cluster based on a control plan of all environment data to be managed of the environment test boxes contained in the network partition cluster;
and generating control threads corresponding to the network division clusters based on the environmental data control curves of all the environmental data to be managed of each environmental test box in the network division clusters.
In this embodiment, the environmental data control curve is a change curve of a value that should be set by the environmental data to be managed of the corresponding environmental test box, which is generated based on the control plan of all the environmental data to be managed of each environmental test box, over time.
In this embodiment, based on the environmental data control curves of all the environmental data to be managed of each environmental test box in the network partition cluster, a control thread corresponding to the network partition cluster is generated, which is:
And recording the numerical value of the environmental data in the environmental data control curve according to the time period to obtain a thread of the complete control process of the environmental data to be managed, including the environmental test box.
The beneficial effects of the technology are as follows: and the control threads corresponding to the network partition clusters are generated based on the environmental data control curves of all the environmental data to be managed of the environmental test boxes contained in the network partition clusters.
Example 8:
based on the embodiment 1, the environmental test box multi-device management method based on the internet of things comprises the following steps of: based on the real-time environment data to be managed and the multithread control plan of each environment test box in the box distribution network, analyzing the real-time box supervision result of the current test plan, comprising:
controlling the environmental data of all environmental test boxes in the box distribution network based on a multithread control plan to obtain an environmental data control result;
and analyzing the real-time box supervision result of the current test plan based on the real-time environment data to be managed, the multithread control plan and the environment data control result of each environment test box in the box distribution network.
In this embodiment, the environmental data control result is a result obtained after controlling environmental data of all environmental test boxes in the box distribution network based on the multithreading control plan.
In this embodiment, the real-time environmental data to be managed is environmental data in an environmental test chamber acquired in real time, for example, the current temperature in the environmental test chamber is 100 ℃.
The beneficial effects of the technology are as follows: based on the real-time environment data to be managed, the multithread control plan and the environment data control result of each environment test box in the box distribution network, the high-efficiency control and supervision of a plurality of environment test boxes are realized.
Example 9:
based on embodiment 8, the environmental test box multi-device management method based on the internet of things, based on the real-time environmental data to be managed, the multithread control plan and the environmental data control result of each environmental test box in the box distribution network, analyzes the real-time box supervision result of the current test plan, and includes:
judging whether the data source of the environmental data to be managed of the environmental test box is direct measurement or not, if so, analyzing and extracting the omnibearing image in the environmental test box to obtain the real-time environmental data to be managed of the corresponding type of environmental data to be managed;
otherwise, analyzing and extracting real-time monitoring images of measuring tools in the corresponding environment test boxes corresponding to the environment data to be managed to obtain real-time environment data to be managed of corresponding types of environment data of the corresponding environment test boxes;
Determining target management environment data of each environment test box based on the environment data control result and the multithread control plan;
based on the real-time environment data to be managed and the target management environment data of each environment test box in the box distribution network, judging whether the corresponding environment test box has abnormal control or not, and obtaining a real-time box supervision result of each environment test box.
In this embodiment, it is determined whether the data source of the environmental data to be managed of the environmental test chamber is a direct measurement, that is:
judging whether the corresponding environment data to be managed needs to be directly measured, for example: when the water resistance of a sample to be tested is tested, the water resistance is tested, at the moment, the environmental data to be managed of an environmental test box (a rain test box) is the rain intensity, and the rain intensity needs to be directly measured;
for another example: when the high temperature resistance of the sample to be tested is tested, the sample to be tested is heated at high temperature, at the moment, the environmental data to be managed of the environmental test box is the temperature value in the environmental test box, and the temperature value is measured through the thermometer arranged in the environmental test box, so that the environmental data to be managed does not need to be measured directly.
In this embodiment, the omnidirectional image is an image that includes all of the object scene within the environmental test chamber.
In this embodiment, an omnidirectional image in an environmental test chamber is analyzed and extracted to obtain real-time environmental data to be managed of corresponding types of environmental data to be managed, which is:
analyzing and extracting the omnibearing images in the environment test box to analyze real-time environment data to be managed of corresponding types of environment data to be managed;
for example: and when the water resistance of the sample to be tested is tested, the sample to be tested is subjected to rain test, at the moment, the environmental data to be managed of the environmental test box (rain test box) is the rain intensity, and the real-time rain intensity in the environmental test box can be analyzed by analyzing the ratio of the rain drop area in the omnidirectional image in the environmental test box.
In this embodiment, the measuring tool is a tool for measuring environmental data to be managed of the environmental test chamber, such as a thermometer or hygrometer.
In this embodiment, the real-time monitoring image is an image of a temperature tool used to monitor the environment in real-time.
In this embodiment, the real-time monitoring image of the measuring tool in the corresponding environmental test box corresponding to the environmental data to be managed is analyzed and extracted to obtain the real-time environmental data to be managed corresponding to the corresponding environmental test box type of the environmental data to be managed, for example:
When the high temperature resistance of the sample to be tested is tested, the sample to be tested is heated at high temperature, at this time, the environmental data to be managed of the environmental test box is the temperature value in the environmental test box, and the real-time temperature value in the environmental test box can be determined by analyzing the real-time monitoring image of the thermometer arranged in the environmental test box.
In this embodiment, the target management environment data is a specific numerical value corresponding to the environment data to be managed, which is determined by the environment test box based on the environment data control result and the multithread control plan and needs to be set at the current moment.
In this embodiment, based on the real-time environment data to be managed and the target management environment data of each environment test box in the box distribution network, it is determined whether the corresponding environment test box has a control abnormality, that is:
judging whether the deviation degree of the real-time environment data to be managed and the target management environment data of each environment test box in the box distribution network (namely, the ratio of the deviation value of the real-time environment data to be managed and the target management environment data to the target management environment data) is larger than a deviation degree threshold value, if so, judging whether the corresponding environment test box has control abnormality, otherwise, judging that the corresponding environment test box has no control abnormality.
In this embodiment, the status determination result is a determination result including determining whether the environmental test chamber has a control abnormality.
The beneficial effects of the technology are as follows: the method comprises the steps of judging whether the data source of the environmental data to be managed of the environmental test box is direct measurement or not, respectively analyzing and extracting an omnidirectional image in the environmental test box and analyzing and extracting a real-time monitoring image of a measuring tool corresponding to the environmental data to be managed in the corresponding environmental test box to obtain the real-time environmental data to be managed of the environmental test box, and judging whether the corresponding environmental test box is abnormal in control or not by comparing the real-time environmental data to the target management environmental data of the environmental test box, so that accurate control and supervision of the environmental test box are realized.
Example 10:
the invention provides an environment test box multi-device management system based on the Internet of things, referring to FIG. 3, comprising:
the building module is used for building a box distribution network of the current test plan based on a control communication link of an environmental test box which is put into the current test plan in the laboratory;
the division module is used for dividing the box distribution network based on the control plans of all the environmental data to be managed of each environmental test box, and obtaining at least one network division cluster of each environmental data to be managed;
The generation module is used for generating a multithreading control plan of the current test plan based on the control plans of all environmental data to be managed of the environmental test boxes contained in the network partition cluster;
the analysis module is used for analyzing the real-time box supervision result of the current test plan based on the real-time environment data to be managed and the multithread control plan of each environment test box in the box distribution network;
and the sending module is used for sending the real-time box supervision result to the remote supervision end of the Internet of things in real time.
The beneficial effects of the technology are as follows: based on different environmental test boxes which are put into the test plan each time and control plans thereof, box distribution networks consisting of different control communication links are constructed, cluster control and sub-to-be-managed environmental data control of the environmental test boxes are realized by dividing the box distribution networks, and the control supervision and management efficiency of a plurality of environmental test boxes in the test plan is greatly improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (2)
1. The environment test box multi-device management method based on the Internet of things is characterized by comprising the following steps of:
s1: based on a control communication link of an environmental test box which is put into a current test plan in a laboratory, constructing a box distribution network of the current test plan;
s2: dividing a box distribution network based on a control plan of all environmental data to be managed of each environmental test box to obtain at least one network division cluster of each environmental data to be managed;
s3: generating a multithread control plan of a current test plan based on control plans of all environmental data to be managed of the environmental test boxes contained in the network partition cluster;
s4: analyzing a real-time box supervision result of a current test plan based on real-time environment data to be managed and a multithread control plan of each environment test box in the box distribution network;
s5: the real-time box supervision result is sent to the remote supervision end of the Internet of things in real time;
step S1: based on the control communication link of the environmental test box put into the current test plan in the test room, a box distribution network of the current test plan is built, comprising:
s101: screening out a control communication link of each environmental test box based on a cross-layer communication path between each environmental test box in the test room and the remote control end of the Internet of things, wherein the environmental test boxes are put into the current test plan;
S102: summarizing and connecting control communication links of environmental test boxes which are put into a current test plan in a test room to obtain a box distribution network of the current test plan;
step S2: dividing a box distribution network based on a control plan of all environmental data to be managed of each environmental test box to obtain at least one network division cluster of each environmental data to be managed, including:
determining a control plan of each environmental data to be managed of the environmental test box based on the test requirements of the products to be tested in the environmental test box;
dividing a box distribution network based on an environment data control curve corresponding to each control plan to obtain at least one network division cluster of each type of environment data to be managed;
step S3: generating a multi-thread control plan of a current test plan based on control plans of all environmental data to be managed of environmental test boxes contained in the network partition cluster, comprising:
generating control threads corresponding to the network partition clusters based on control plans of all environmental data to be managed of the environmental test boxes contained in the network partition clusters;
dividing clustered control threads based on the network of all environment data to be managed, and generating a multi-thread control plan of the current test plan;
Step S4: based on the real-time environment data to be managed and the multithread control plan of each environment test box in the box distribution network, analyzing the real-time box supervision result of the current test plan, comprising:
controlling the environmental data of all environmental test boxes in the box distribution network based on a multithread control plan to obtain an environmental data control result;
analyzing a real-time box supervision result of the current test plan based on real-time environment data to be managed, a multithread control plan and an environment data control result of each environment test box in the box distribution network;
step S101: screening out a control communication link of each environmental test box based on a cross-layer communication path between each environmental test box in the test room and the remote control end of the Internet of things, which is put into the current test plan, comprising:
determining a cross-layer communication path of each environmental test box in the test room, which is put into the current test plan;
taking the communication end node of each environment test box as a corresponding starting node, and screening out a reserved secondary starting end node cluster of each starting node based on a cross-layer communication path of each environment test box;
calculating a first transmission quality evaluation value corresponding to the reserved secondary initial end node based on the estimated traffic of each environmental test box and the transmission distance between the initial node and the reserved secondary initial end node;
Determining the secondary start end selected times of each reserved secondary start end node based on reserved secondary start end node clusters of each environment test box, and calculating the first selectable probability of each reserved secondary start end node based on the secondary start end selected times and the corresponding first transmission quality evaluation value;
taking each reserved secondary initial node as a new initial node, and screening a secondary initial selectable node cluster of each new initial node based on a cross-layer communication path of each environment test box;
calculating a second transmission quality evaluation value corresponding to the secondary start end selectable node based on the estimated traffic of each environmental test box and the transmission distance between the corresponding new start node and the corresponding secondary start end selectable node;
calculating a second selectable probability of each secondary start selectable node based on the current selected times of the secondary start selectable nodes and the corresponding second transmission quality evaluation value;
based on the second selectable probability of the secondary start end selectable node and the first selectable probability of the corresponding start node, calculating the current comprehensive selectable probability of the corresponding secondary start end selectable node;
deleting the secondary starting end selectable node of which the current comprehensive selectable probability does not exceed the selectable probability threshold value, and obtaining a reserved secondary starting end selectable node cluster of the new starting node;
Taking the newly determined reserved secondary start end selectable node cluster as a new start node, screening the secondary start end selectable node cluster of each new start node based on a cross-layer communication path of each environment test box, and determining all alternative links of each environment test box based on all reserved secondary start end selectable node clusters determined from a communication end node of a corresponding environment test box to a remote control end of the Internet of things when the newly screened secondary start end selectable node has only the remote control end of the Internet of things;
screening control communication links of the corresponding environment test boxes from all alternative links based on the estimated communication quantity of each environment test box and the bearing requirements of the communication links between every two adjacent levels between each environment test box and the remote control end of the Internet of things;
the method for obtaining the network partition cluster of the environment data to be managed comprises the following steps of:
generating an environmental data control curve of all environmental data to be managed of each environmental test box based on the control plan of all environmental data to be managed of each environmental test box;
Screening a first environmental test box cluster with the same type of environmental data to be managed from a box distribution network, and calculating a first similarity between environmental data control curves of the corresponding type of environmental data to be managed of every two environmental test boxes in the first environmental test box cluster;
taking the average value of the first similarity between each environmental test box in the first environmental test box cluster and all the remaining environmental test boxes except the corresponding environmental test box in the first environmental test box cluster as the first comprehensive similarity of the corresponding environmental data to be managed of the corresponding environmental test box;
taking the environmental test box with the maximum first comprehensive similarity in each first environmental test box cluster as a division center to obtain a plurality of division centers corresponding to environmental data to be managed;
calculating the kind coincidence degree between the environmental data to be managed of each environmental test box and the environmental data to be managed of each environmental test box of each division center;
calculating the concentration degree of each environmental test box and the corresponding division center based on the kind coincidence degree between the environmental data to be managed of each environmental test box and the environmental data to be managed of the environmental test box of the division center and the second similarity between the environmental data control curves of the corresponding kinds of the environmental data to be managed of each environmental test box and the division center;
Taking the cluster of the partition center corresponding to the maximum aggregation degree of each environmental test box as the cluster of the corresponding environmental data to be managed of the corresponding environmental test box;
summarizing all environment test boxes in which the clusters are located, and obtaining at least one network partition cluster corresponding to the environment data to be managed;
the method for generating the control thread of the corresponding network partition cluster based on the control plans of all environmental data to be managed of the environmental test boxes contained in the network partition cluster comprises the following steps:
generating an environment data control curve of all environment data to be managed of each environment test box in the network partition cluster based on a control plan of all environment data to be managed of the environment test boxes contained in the network partition cluster;
generating control threads corresponding to the network division clusters based on the environmental data control curves of all environmental data to be managed of each environmental test box in the network division clusters;
the method for analyzing the real-time box supervision result of the current test plan based on the real-time environment data to be managed, the multithread control plan and the environment data control result of each environment test box in the box distribution network comprises the following steps:
judging whether the data source of the environmental data to be managed of the environmental test box is direct measurement or not, if so, analyzing and extracting the omnibearing image in the environmental test box to obtain the real-time environmental data to be managed of the corresponding type of environmental data to be managed;
Otherwise, analyzing and extracting real-time monitoring images of measuring tools in the corresponding environment test boxes corresponding to the environment data to be managed to obtain real-time environment data to be managed of corresponding types of environment data of the corresponding environment test boxes;
determining target management environment data of each environment test box based on the environment data control result and the multithread control plan;
based on the real-time environment data to be managed and the target management environment data of each environment test box in the box distribution network, judging whether the corresponding environment test box has abnormal control or not, and obtaining a real-time box supervision result of each environment test box.
2. An environmental test box multi-device management system based on the internet of things, for executing the environmental test box multi-device management method based on the internet of things of claim 1, which is characterized by comprising the following steps:
the building module is used for building a box distribution network of the current test plan based on a control communication link of an environmental test box which is put into the current test plan in the laboratory;
the division module is used for dividing the box distribution network based on the control plans of all the environmental data to be managed of each environmental test box, and obtaining at least one network division cluster of each environmental data to be managed;
The generation module is used for generating a multithreading control plan of the current test plan based on the control plans of all environmental data to be managed of the environmental test boxes contained in the network partition cluster;
the analysis module is used for analyzing the real-time box supervision result of the current test plan based on the real-time environment data to be managed and the multithread control plan of each environment test box in the box distribution network;
and the sending module is used for sending the real-time box supervision result to the remote supervision end of the Internet of things in real time.
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| KR20210052925A (en) * | 2019-11-01 | 2021-05-11 | 한국전력공사 | UNIFIED OPERATION SYSTEM and METHOD for DISTRIBUTED RESOURCES |
| JP2022003456A (en) * | 2020-06-23 | 2022-01-11 | 株式会社日立製作所 | Store environment management system |
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| KR20210052925A (en) * | 2019-11-01 | 2021-05-11 | 한국전력공사 | UNIFIED OPERATION SYSTEM and METHOD for DISTRIBUTED RESOURCES |
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