Industrial Internet platform monitoring data transmission and exchange method and system

Abstract

The present invention relates to the field of equipment monitoring technology, and specifically discloses a method and system for monitoring data transmission and exchange on an industrial Internet platform. The method comprises querying a component tree of industrial equipment, connecting the component tree according to a pipeline sequence; determining and configuring monitoring nodes based on the connected component tree; collecting information of the monitor based on the monitoring node, and judging the working status of the monitor; when the monitor is working normally, packaging the output signal and sending it to a storage center. The present invention establishes a component tree corresponding to the pipeline, connects the same sensors of different devices to the same transfer unit according to the component tree, and has a built-in recognition algorithm on the transfer unit, which can greatly improve the orderliness at the hardware level and the uniformity at the software level. For the same data structure, a set of statistical recognition conversion models can be transplanted, and the entire pipeline can be regarded as a whole, which greatly optimizes the data transmission architecture.

Description

Technical Field

[0001] The present invention relates to the field of equipment monitoring technology, and specifically to an industrial Internet platform monitoring data transmission and exchange method and system. Background Art

[0002] The Industrial Internet platform is an industrial cloud platform designed to meet the digitalization, networking, and intelligent needs of the manufacturing industry. It builds a service system based on the collection, aggregation, and analysis of massive data, supporting the ubiquitous connectivity, flexible supply, and efficient allocation of manufacturing resources. In layman's terms, the control systems of each device in a smart workshop can be understood as a type of Industrial Internet platform.

[0003] In the operation of the industrial Internet, the data monitoring system is a very important component, which is equivalent to the "eyes" of the industrial Internet. The existing data monitoring system consists of two parts, namely the data acquisition module and the data transmission module. Under the condition of a fixed total budget, the two are actually in a state of competition with each other. As the performance of the data acquisition module improves, the performance of the data transmission module needs to be lowered. What we hope is that the performance of the data acquisition module is as high as possible, so the proportion of the data transmission module needs to be as small as possible; but in fact, due to the large differences between various sensors of the same device, independent design is required from hardware interface to software protocol. At the hardware level, the circuit is very complicated, and at the software level, the data recognition and conversion process is relatively redundant, which in disguise increases the resource ratio of the data transmission module.

[0004] Therefore, how to optimize the architecture of the data transmission module is a technical problem that the technical solution of the present invention aims to solve. Summary of the Invention

[0005] The purpose of the present invention is to provide an industrial Internet platform monitoring data transmission and exchange method and system to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An industrial Internet platform monitoring data transmission and exchange method, the method comprising:

[0008] Querying a component tree of the industrial equipment and connecting the component tree according to the pipeline sequence; the component tree is used to represent the component structure of the industrial equipment, and the elements in the component tree correspond to the monitors in the industrial equipment;

[0009] Determine and configure monitoring nodes based on the connected component tree;

[0010] The monitoring node collects input signals and output signals of the monitor, and determines the working state of the monitor according to the input signals and the output signals;

[0011] When the working status of the monitor is normal, the output signal is packaged and sent to the storage center;

[0012] When the working state of the monitor is abnormal, the corresponding monitor is marked in the composition tree, the marked monitors are counted, and a processing guide is generated.

[0013] As a further solution of the present invention, the step of querying the component tree of industrial equipment and connecting the component tree according to the pipeline sequence includes:

[0014] Query the monitoring parameters of each monitor in the industrial equipment; the monitoring parameters include the monitor number, monitor model, input signal data structure and output signal data structure; the monitor number and monitor position have a corresponding relationship;

[0015] Using the monitor number as an index, collecting statistics on monitoring parameters, and sorting the collected statistics on monitoring parameters according to the monitor number to obtain a composition tree of industrial equipment;

[0016] Receive the pipeline sequence input by the staff and connect the component trees of each industrial equipment; the pipeline sequence is used to represent the arrangement order of each industrial equipment in the pipeline.

[0017] As a further solution of the present invention: the step of determining and configuring monitoring nodes based on the connected component tree includes:

[0018] Traversing the connected component tree, classifying the monitors based on their models to obtain a first classification set;

[0019] Traversing the connected component tree, classifying the monitors based on the data structure of the input signal and the data structure of the output signal to obtain a second classification set family;

[0020] Performing a union operation on the first classification set family based on the second classification set family to obtain a third classification set family;

[0021] Obtaining location information of industrial equipment corresponding to each monitor, and splitting the sets in the third classification cluster according to the location information to obtain a fourth classification cluster;

[0022] Monitoring nodes are determined and configured based on the fourth classification cluster.

[0023] As a further solution of the present invention, the step of collecting the input signal and the output signal of the monitor based on the monitoring node and determining the working state of the monitor according to the input signal and the output signal includes:

[0024] Based on the monitoring node, the input signal and the output signal of the monitor are collected independently and regularly; wherein the collection frequency is fixed;

[0025] Inputting the input signal and the output signal into a preset conversion formula to obtain input features and output features; the input features and the output features are numerical values;

[0026] Generating coordinate points in a preset coordinate axis according to the input features and the output features, and performing a discreteness analysis on the coordinate points; the coordinate axis is related to time information;

[0027] Determine the working status of the monitor based on the discrete analysis results.

[0028] As a further solution of the present invention, the step of collecting the input signal and the output signal of the monitor based on the monitoring node and determining the working state of the monitor according to the input signal and the output signal includes:

[0029] Based on the monitoring node, the input signal and the output signal of the monitor are collected independently and regularly; wherein the collection frequency is fixed;

[0030] Inputting the input signal and the output signal into a preset conversion formula to obtain input features and output features; the input features and the output features are numerical values;

[0031] Fit the prediction function based on the input features and output features;

[0032] The theoretical function corresponding to the monitor is queried, the theoretical function is compared with the predicted function, and the working status of the monitor is determined.

[0033] As a further solution of the present invention: when the working state of the monitor is normal, the step of packaging the output signal and sending it to the storage center includes:

[0034] When the working state of the monitor is normal, the output characteristic corresponding to the output signal is read;

[0035] Calculate the difference rate between adjacent output features. When the difference rate is less than a preset difference rate threshold, merge the time information corresponding to the two output features as the new previous output feature.

[0036] When the difference rate is greater than a preset difference rate threshold, calculating the mean of the output signal in the time information corresponding to the previous output feature to obtain a mean signal;

[0037] Connect the time information and the mean signal and send them to the storage center.

[0038] As a further solution of the present invention, when the working state of the monitor is abnormal, the steps of marking the corresponding monitor in the composition tree, counting the marked monitors, and generating processing instructions include:

[0039] Read and display the composition tree;

[0040] When the working state of the monitor is abnormal, the corresponding element is searched in the component tree according to the monitor number, and the display parameters of the element are adjusted;

[0041] Count the industrial equipment corresponding to the monitors in abnormal status, query the preset maintenance guide, and generate processing instructions.

[0042] The technical solution of the present invention also provides an industrial Internet platform monitoring data transmission and exchange system, the system comprising:

[0043] A component tree building module is used to query the component tree of industrial equipment and connect the component tree according to the pipeline sequence; the component tree is used to represent the component structure of the industrial equipment, and the elements in the component tree correspond to the monitors in the industrial equipment;

[0044] A monitoring node configuration module, configured to determine and configure monitoring nodes based on the connected component tree;

[0045] a working state determination module, configured to collect input signals and output signals of the monitor based on the monitoring node, and determine the working state of the monitor according to the input signals and the output signals;

[0046] The data packaging module is used to package the output signal and send it to the storage center when the working status of the monitor is normal;

[0047] The guideline generation module is used to mark the corresponding monitor in the composition tree when the working state of the monitor is abnormal, count the marked monitors, and generate processing guidelines.

[0048] As a further solution of the present invention: the composition tree establishment module includes:

[0049] A parameter query unit is used to query the monitoring parameters of each monitor in the industrial equipment; the monitoring parameters include the monitor number, monitor model, input signal data structure and output signal data structure; the monitor number and monitor position have a corresponding relationship;

[0050] a sorting unit, configured to use the monitor number as an index, collect statistics on monitoring parameters, and sort the collected statistics on monitoring parameters according to the monitor number to obtain a composition tree of industrial equipment;

[0051] The connection unit is used to receive the pipeline sequence input by the staff and connect the component trees of each industrial equipment; the pipeline sequence is used to represent the arrangement order of each industrial equipment in the pipeline.

[0052] As a further solution of the present invention: the monitoring node configuration module includes:

[0053] A first classification unit is used to traverse the connected component tree and classify the monitors based on the monitor models to obtain a first classification set family;

[0054] A second classification unit is used to traverse the connected component tree and classify the monitors based on the data structure of the input signal and the data structure of the output signal to obtain a second classification set family;

[0055] A third classification unit is configured to perform a union operation on the first classification set family based on the second classification set family to obtain a third classification set family;

[0056] a fourth classification unit, configured to obtain location information of industrial equipment corresponding to each monitor, and split the sets in the third classification cluster according to the location information to obtain a fourth classification cluster;

[0057] The execution unit is configured to determine and configure monitoring nodes based on the fourth classification set.

[0058] Compared with the existing technology, the beneficial effects of the present invention are: the present invention establishes a composition tree corresponding to the pipeline, and connects the same sensors of different devices to the same transfer unit according to the composition tree. The recognition algorithm is built into the transfer unit, which can greatly improve the orderliness at the hardware level and the uniformity at the software level. For the same data structure, it is sufficient to transplant a set of statistical recognition conversion models, and regard the entire pipeline as a whole, which greatly optimizes the data transmission architecture. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0060] Figure 1 A flowchart of the data transmission and exchange method for monitoring the industrial Internet platform.

[0061] Figure 2 This is a block diagram of the first sub-process of the method for monitoring data transmission and exchange on the industrial Internet platform.

[0062] Figure 3 The second sub-process flowchart of the industrial Internet platform monitoring data transmission and exchange method.

[0063] Figure 4 The third sub-process flowchart of the industrial Internet platform monitoring data transmission and exchange method.

[0064] Figure 5 This is the fourth sub-process flowchart of the industrial Internet platform monitoring data transmission and exchange method.

[0065] Figure 6 This is the fifth sub-process flowchart of the industrial Internet platform monitoring data transmission and exchange method.

[0066] Figure 7 This is a structural block diagram of the industrial Internet platform monitoring data transmission and exchange system. DETAILED DESCRIPTION

[0067] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0068] Example 1

[0069] Figure 1 This is a flowchart of a method for monitoring data transmission and exchange on an industrial Internet platform. In an embodiment of the present invention, a method for monitoring data transmission and exchange on an industrial Internet platform includes:

[0070] Step S100: querying a component tree of industrial equipment and connecting the component tree according to a pipeline sequence; the component tree is used to represent the component structure of the industrial equipment, and the elements in the component tree correspond to the monitors in the industrial equipment;

[0071] A production line consists of multiple industrial devices, each equipped with multiple monitors. These monitors are combinations of microprocessors and sensors. Their inputs are the monitored operating parameters of the industrial devices, and their outputs are electrical signals. The component tree represents the inclusion relationship between the production line, the industrial devices, and the monitors. The node name of each node in the component tree is the name of the corresponding industrial device or monitor.

[0072] Step S200: determining and configuring monitoring nodes based on the connected component tree;

[0073] Determine and configure the monitoring nodes so that one monitoring node corresponds to multiple monitors, and acts as a transfer device to obtain the data of the monitors and send it to the storage end.

[0074] Step S300: collecting input signals and output signals of a monitor based on the monitoring node, and determining the working status of the monitor according to the input signals and the output signals;

[0075] When forwarding the data acquired by the monitor, the monitoring node identifies the acquired data according to the built-in recognition algorithm, and then determines the working status of the monitor; the working status is divided into normal state and abnormal state;

[0076] Step S400: When the working state of the monitor is normal, the output signal is packaged and sent to the storage center;

[0077] When the working status of the monitor is normal, its output signal is processed, packaged to reduce the data volume, and sent to the storage center.

[0078] Step S500: When the working state of the monitor is abnormal, mark the corresponding monitor in the composition tree, count the marked monitors, and generate a processing guide;

[0079] When the working status of the monitor is abnormal, it is natural to need to inspect the monitor and its working equipment; this process can be completed based on the composition tree, marking the monitor with problems in the composition tree, and then generating processing instructions to facilitate maintenance personnel to complete the maintenance work.

[0080] Figure 2 This is a first sub-flow diagram of the method for monitoring data transmission and exchange on an industrial Internet platform. The steps of querying the component tree of industrial equipment and connecting the component tree according to the pipeline sequence include:

[0081] Step S101: querying monitoring parameters of each monitor in the industrial equipment; the monitoring parameters include the monitor number, monitor model, input signal data structure and output signal data structure; the monitor number and monitor position have a corresponding relationship;

[0082] Monitor is a high-level concept. It can be a built-in module of industrial equipment or a detection module external to industrial equipment. Each monitor has monitoring parameters. The important indicators in the monitoring parameters are the monitor number, monitor model, input signal data structure and output signal data structure. The monitor number serves as the name of the monitor, and the monitor model, input signal data structure and output signal data structure are used to reflect the type of monitor.

[0083] Step S102: using the monitor number as an index, collecting statistics on monitoring parameters, and sorting the collected statistics on monitoring parameters according to the monitor number to obtain a composition tree of industrial equipment;

[0084] The monitoring parameters of the monitor are counted into a data packet, and the data packet is named with the monitor number; the composition tree is composed of the number and the number of the corresponding industrial equipment;

[0085] It is worth mentioning that there may also be an inclusion relationship between monitors.

[0086] Step S103: receiving the pipeline sequence input by the staff and connecting the component trees of each industrial device; the pipeline sequence is used to represent the arrangement order of each industrial device in the pipeline;

[0087] Each industrial equipment has a corresponding component tree. By connecting these component trees according to the assembly line sequence, we can get the component tree corresponding to the assembly line.

[0088] Figure 3 This is a second sub-flow diagram of the method for monitoring data transmission and exchange on an industrial Internet platform. The step of determining and configuring monitoring nodes based on the connected component tree includes:

[0089] Step S201: traverse the connected component tree, classify the monitors based on the monitor models, and obtain a first classification cluster;

[0090] Monitors of the same model can be connected to the same monitoring node. However, the requirement that the monitors have the same model is difficult to meet. Therefore, there are more sets in the first classification cluster; among them, the cluster refers to the "set of sets".

[0091] Step S202: traversing the connected component tree, classifying the monitors based on the data structure of the input signal and the data structure of the output signal to obtain a second classification set;

[0092] This condition is easier to satisfy by classifying the monitors according to the data structure of the input signal and the data structure of the output signal. Therefore, the number of sets in the second classification family is much smaller than the number of sets in the first classification family.

[0093] Step S203: performing a union operation on the first classification set based on the second classification set to obtain a third classification set;

[0094] If the monitoring nodes are determined and configured based on the second classification family, that is, the monitors in each set are connected to the same monitoring node, then the pressure on the monitoring nodes will be very high. Therefore, by selectively merging the sets in the first classification family based on the second classification family, a third classification family with a more appropriate number of sets can be determined.

[0095] It should be noted that, since “the monitor models are the same” is a sufficient but not necessary condition for “the data structure of the input signal and the data structure of the output signal are the same”, the first classification group can be understood as a more subdivided second classification group.

[0096] Step S204: obtaining location information of the industrial equipment corresponding to each monitor, and splitting the sets in the third classification cluster according to the location information to obtain a fourth classification cluster;

[0097] The hardware of the monitoring node may be a router. Taking hardware factors into consideration, it is also necessary to fine-tune the elements of each set in the third classification cluster according to the actual distance. The cluster after fine-tuning is the fourth classification cluster.

[0098] Step S205: determining and configuring monitoring nodes based on the fourth classification cluster;

[0099] Each set in the fourth classification family determines a corresponding monitoring node, and the monitoring node is configured according to the data structure of the input signal and the data structure of the output signal to establish connections at the software level and the hardware level.

[0100] Figure 4 This is a third sub-flow diagram of the method for monitoring data transmission and exchange on an industrial Internet platform. The step of collecting the input signal and output signal of the monitor based on the monitoring node and determining the working status of the monitor according to the input signal and the output signal includes:

[0101] Step S301: Based on the monitoring node, the input signal and the output signal of the monitor are independently collected at a fixed frequency.

[0102] Independently collecting input signals and output signals means that the input signals and output signals are obtained based on independent threads respectively; the amount of data obtained can be adjusted by adjusting the collection frequency.

[0103] Step S302: Input the input signal and the output signal into a preset conversion formula to obtain input features and output features; the input features and output features are numerical values;

[0104] Before analyzing the input and output signals, the input and output signals are converted into numerical values ​​using a preset conversion formula, so that the data can be judged more conveniently with the help of digital means.

[0105] Step S303: generating coordinate points in a preset coordinate axis according to the input features and the output features, and performing a discreteness analysis on the coordinate points; the coordinate axis is related to the time information;

[0106] There are many ways to perform discreteness analysis. For example, you can fit a straight line based on least squares estimation, and then calculate and accumulate the degree of deviation of each coordinate point from the straight line to reflect the degree of discreteness of the coordinate points. You can also export an image containing multiple coordinate points and use existing image recognition algorithms to determine the degree of dispersion of each coordinate point to represent the degree of discreteness of the data.

[0107] Step S304: judging the working state of the monitor according to the discreteness analysis result;

[0108] The purpose of discreteness analysis is to determine the regularity between coordinate points. For a stable monitor, the degree of discreteness is within a certain range. Once a problem occurs, the degree of discreteness will also change greatly.

[0109] As a preferred embodiment of the technical solution of the present invention, the step of collecting the input signal and output signal of the monitor based on the monitoring node and determining the working status of the monitor according to the input signal and the output signal includes:

[0110] Based on the monitoring node, the input signal and the output signal of the monitor are collected independently and regularly; wherein the collection frequency is fixed;

[0111] Inputting the input signal and the output signal into a preset conversion formula to obtain input features and output features; the input features and the output features are numerical values;

[0112] Fit the prediction function based on the input features and output features;

[0113] The theoretical function corresponding to the monitor is queried, the theoretical function is compared with the predicted function, and the working status of the monitor is determined.

[0114] The working status of the monitor can also be judged with the help of a preset theoretical function, which is the relationship between the output and input of the monitor under the theoretical state; a prediction function is fitted from the actual input characteristics and output characteristics, and the properties of the two functions are compared with the help of existing mathematical tools. The working status of the monitor can also be judged based on the comparison results.

[0115] Figure 5 This is a fourth sub-flow diagram of the method for monitoring data transmission and exchange on an industrial Internet platform. When the working state of the monitor is normal, the step of packaging the output signal and sending it to the storage center includes:

[0116] Step S401: when the working state of the monitor is normal, reading the output characteristics corresponding to the output signal;

[0117] The output characteristics reflect the characteristics of the output signal in numerical form;

[0118] Step S402: Calculate the difference rate between adjacent output features. When the difference rate is less than a preset difference rate threshold, merge the time information corresponding to the two output features to serve as a new previous output feature.

[0119] Based on the output characteristics, it can be determined whether there is a significant difference between the newly obtained output signal and the previously obtained output signal;

[0120] Step S403: When the difference rate is greater than a preset difference rate threshold, the mean of the output signal in the time information corresponding to the previous output feature is calculated to obtain a mean signal;

[0121] If the difference is not significant, then one output signal can be used to replace the output signal of a time period; the time period is determined by the time information, and the corresponding output signal is the average signal within the time period.

[0122] Step S404: Connect the time information and the mean signal and send them to the storage center;

[0123] By connecting the mean signal and the time period, we can obtain packaged data, which can greatly reduce the amount of data that needs to be transmitted and alleviate the transmission pressure.

[0124] Figure 6 This is a fifth sub-flow diagram of the method for monitoring data transmission and exchange on an industrial Internet platform, characterized in that when the working state of the monitor is abnormal, the steps of marking the corresponding monitor in the component tree, counting the marked monitors, and generating processing instructions include:

[0125] Step S501: read and display the component tree;

[0126] Step S502: When the working state of the monitor is abnormal, the corresponding element is searched in the component tree according to the monitor number, and the display parameters of the element are adjusted;

[0127] Step S503: Count the industrial equipment corresponding to the monitors in abnormal status, query the preset maintenance guide, and generate processing instructions.

[0128] In existing intelligent assembly lines, the probability of a problem occurring in a single part of a device is very low. Problems often occur in multiple parts of multiple devices over a large area. Therefore, the maintenance process needs to have an order; this is also the role of the processing guide.

[0129] On this basis, with the help of existing display devices, a display diagram can be generated according to the composition tree. Marking certain elements in the display diagram can improve the intuitiveness of the display of equipment problems and facilitate maintenance personnel to control the workshop conditions.

[0130] Example 2

[0131] Figure 7 The following is a structural block diagram of an industrial Internet platform monitoring data transmission and exchange system. In an embodiment of the present invention, an industrial Internet platform monitoring data transmission and exchange system 10 includes:

[0132] A component tree building module 11 is used to query the component tree of industrial equipment and connect the component tree according to the pipeline sequence; the component tree is used to represent the component structure of the industrial equipment, and the elements in the component tree correspond to the monitors in the industrial equipment;

[0133] A monitoring node configuration module 12, configured to determine and configure monitoring nodes based on the connected component tree;

[0134] A working state determination module 13 is configured to collect input signals and output signals of the monitor based on the monitoring node, and determine the working state of the monitor according to the input signals and the output signals;

[0135] The data packaging module 14 is used to package the output signal and send it to the storage center when the working state of the monitor is normal;

[0136] The guideline generating module 15 is used to mark the corresponding monitor in the composition tree when the working state of the monitor is abnormal, count the marked monitors, and generate a processing guideline.

[0137] The composition tree building module 11 includes:

[0138] A parameter query unit is used to query the monitoring parameters of each monitor in the industrial equipment; the monitoring parameters include the monitor number, monitor model, input signal data structure and output signal data structure; the monitor number and monitor position have a corresponding relationship;

[0139] a sorting unit, configured to use the monitor number as an index, collect statistics on monitoring parameters, and sort the collected statistics on monitoring parameters according to the monitor number to obtain a composition tree of industrial equipment;

[0140] The connection unit is used to receive the pipeline sequence input by the staff and connect the component trees of each industrial equipment; the pipeline sequence is used to represent the arrangement order of each industrial equipment in the pipeline.

[0141] The monitoring node configuration module 12 includes:

[0142] A first classification unit is used to traverse the connected component tree and classify the monitors based on the monitor models to obtain a first classification set family;

[0143] A second classification unit is used to traverse the connected component tree and classify the monitors based on the data structure of the input signal and the data structure of the output signal to obtain a second classification set family;

[0144] A third classification unit is configured to perform a union operation on the first classification set family based on the second classification set family to obtain a third classification set family;

[0145] a fourth classification unit, configured to obtain location information of industrial equipment corresponding to each monitor, and split the sets in the third classification cluster according to the location information to obtain a fourth classification cluster;

[0146] The execution unit is configured to determine and configure monitoring nodes based on the fourth classification set.

[0147] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for transmitting and exchanging monitoring data on an industrial Internet platform, characterized in that: The method comprises: Querying a component tree of the industrial equipment and connecting the component tree according to the pipeline sequence; the component tree is used to represent the component structure of the industrial equipment, and the elements in the component tree correspond to the monitors in the industrial equipment; Determine and configure monitoring nodes based on the connected component tree; The monitoring node collects input signals and output signals of the monitor, and determines the working state of the monitor according to the input signals and the output signals; When the working status of the monitor is normal, the output signal is packaged and sent to the storage center; When the working state of the monitor is abnormal, marking the corresponding monitor in the composition tree, counting the marked monitors, and generating a processing guide; The step of querying the component tree of the industrial equipment and connecting the component tree according to the assembly line sequence includes: Query the monitoring parameters of each monitor in the industrial equipment; the monitoring parameters include the monitor number, monitor model, input signal data structure and output signal data structure; the monitor number and monitor position have a corresponding relationship; Using the monitor number as an index, collecting statistics on monitoring parameters, and sorting the collected statistics on monitoring parameters according to the monitor number to obtain a composition tree of industrial equipment; Receive the pipeline sequence input by the staff and connect the component trees of each industrial equipment; the pipeline sequence is used to represent the arrangement order of each industrial equipment in the pipeline; The step of determining and configuring monitoring nodes based on the connected component tree includes: Traversing the connected component tree, classifying the monitors based on their models to obtain a first classification set; Traversing the connected component tree, classifying the monitors based on the data structure of the input signal and the data structure of the output signal to obtain a second classification set family; Performing a union operation on the first classification set family based on the second classification set family to obtain a third classification set family; Obtaining location information of industrial equipment corresponding to each monitor, and splitting the sets in the third classification cluster according to the location information to obtain a fourth classification cluster; Monitoring nodes are determined and configured based on the fourth classification cluster.

2. The industrial Internet platform monitoring data transmission and exchange method according to claim 1 is characterized in that: The step of collecting the input signal and the output signal of the monitor based on the monitoring node and determining the working state of the monitor according to the input signal and the output signal comprises: Based on the monitoring node, the input signal and the output signal of the monitor are collected independently and regularly; wherein the collection frequency is fixed; Inputting the input signal and the output signal into a preset conversion formula to obtain input features and output features; the input features and the output features are numerical values; Generating coordinate points in a preset coordinate axis according to the input features and the output features, and performing a discreteness analysis on the coordinate points; the coordinate axis is related to time information; Determine the working status of the monitor based on the discrete analysis results.

3. The industrial Internet platform monitoring data transmission and exchange method according to claim 1, characterized in that: The step of collecting the input signal and the output signal of the monitor based on the monitoring node and determining the working state of the monitor according to the input signal and the output signal comprises: Based on the monitoring node, the input signal and the output signal of the monitor are collected independently and regularly; wherein the collection frequency is fixed; Inputting the input signal and the output signal into a preset conversion formula to obtain input features and output features; the input features and the output features are numerical values; Fit the prediction function based on the input features and output features; The theoretical function corresponding to the monitor is queried, the theoretical function is compared with the predicted function, and the working status of the monitor is determined.

4. The industrial Internet platform monitoring data transmission and exchange method according to claim 1, characterized in that: When the working state of the monitor is normal, the step of packaging the output signal and sending it to the storage center includes: When the working state of the monitor is normal, the output characteristic corresponding to the output signal is read; Calculate the difference rate between adjacent output features. When the difference rate is less than a preset difference rate threshold, merge the time information corresponding to the two output features as the new previous output feature. When the difference rate is greater than a preset difference rate threshold, calculating the mean of the output signal in the time information corresponding to the previous output feature to obtain a mean signal; Connect the time information and the mean signal and send them to the storage center.

5. The industrial Internet platform monitoring data transmission and exchange method according to claim 1, characterized in that: When the working state of the monitor is abnormal, marking the corresponding monitor in the composition tree, counting the marked monitors, and generating a processing guide comprises: Read and display the composition tree; When the working state of the monitor is abnormal, the corresponding element is searched in the component tree according to the monitor number, and the display parameters of the element are adjusted; Count the industrial equipment corresponding to the monitors in abnormal status, query the preset maintenance guide, and generate processing instructions.

6. An industrial Internet platform monitoring data transmission and exchange system, characterized in that: The system comprises: A component tree building module is used to query the component tree of industrial equipment and connect the component tree according to the pipeline sequence; the component tree is used to represent the component structure of the industrial equipment, and the elements in the component tree correspond to the monitors in the industrial equipment; A monitoring node configuration module, configured to determine and configure monitoring nodes based on the connected component tree; a working state determination module, configured to collect input signals and output signals of the monitor based on the monitoring node, and determine the working state of the monitor according to the input signals and the output signals; The data packaging module is used to package the output signal and send it to the storage center when the working status of the monitor is normal; a guideline generating module, configured to mark the corresponding monitor in the composition tree when the working state of the monitor is abnormal, count the marked monitors, and generate a processing guideline; The composition tree establishment module includes: A parameter query unit is used to query the monitoring parameters of each monitor in the industrial equipment; the monitoring parameters include the monitor number, monitor model, input signal data structure and output signal data structure; the monitor number and monitor position have a corresponding relationship; a sorting unit, configured to use the monitor number as an index, collect statistics on monitoring parameters, and sort the collected statistics on monitoring parameters according to the monitor number to obtain a composition tree of industrial equipment; A connection unit is used to receive the pipeline sequence input by the staff and connect the component trees of each industrial device; the pipeline sequence is used to represent the arrangement order of each industrial device in the pipeline; The monitoring node configuration module includes: A first classification unit is used to traverse the connected component tree and classify the monitors based on the monitor models to obtain a first classification set family; A second classification unit is used to traverse the connected component tree and classify the monitors based on the data structure of the input signal and the data structure of the output signal to obtain a second classification set family; A third classification unit is configured to perform a union operation on the first classification set family based on the second classification set family to obtain a third classification set family; a fourth classification unit, configured to obtain location information of industrial equipment corresponding to each monitor, and split the sets in the third classification cluster according to the location information to obtain a fourth classification cluster; The execution unit is configured to determine and configure monitoring nodes based on the fourth classification set.

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