CN118174959A - Intelligent diagnosis method, system and storage medium based on equipment online data - Google Patents
Intelligent diagnosis method, system and storage medium based on equipment online data Download PDFInfo
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Abstract
The application provides an intelligent diagnosis method, a system and a storage medium based on equipment online data, wherein the method comprises the following steps: the method comprises the steps that an acquisition terminal acquires first data in a first period, compares the first data with preset normal data before the first period to determine whether the first data are consistent, writes a destination address of a first data packet header into an emergency destination address to obtain a first packet if the first data are inconsistent, and sends the first packet to data transfer equipment; after receiving the first packet, the data transfer device forwards the first packet to a data center corresponding to the emergency destination address with the highest priority if the destination address of the first packet is determined to be the emergency destination address; after the data center receives the first packet, analyzing the first packet to obtain first data of the first packet, performing intelligent diagnosis on the first data to determine a first abnormal condition corresponding to the first data, and executing an emergency flow corresponding to the first abnormal condition. The application has the advantage of high safety.
Description
Technical Field
The invention relates to the field of Internet and data, in particular to an intelligent diagnosis method, system and storage medium based on equipment online data.
Background
The industrial Internet (Industrial Internet) is a novel infrastructure, application mode and industrial ecology for deep integration of a new generation of information communication technology and industrial economy, and a brand new manufacturing and service system which covers a full industrial chain and a full value chain is constructed through comprehensive connection of people, machines, objects, systems and the like, so that an implementation way is provided for industrial and even industrial digital, networked and intelligent development.
On-line data based on industrial equipment need to diagnose whether the data is abnormal or not, the existing on-line data only transmits the on-line data, and whether the data is abnormal or not is not diagnosed, so that the safety of the industrial equipment is affected.
Disclosure of Invention
The embodiment of the invention provides an intelligent diagnosis method, an intelligent diagnosis system and a storage medium based on equipment online data, which are used for performing rapid anomaly diagnosis on industrial Internet data, improving the response speed of anomaly conditions and improving the safety of peer equipment.
In a first aspect, an embodiment of the present invention provides an intelligent diagnosis method based on online data of a device, where the method includes the following steps:
The method comprises the steps that an acquisition terminal acquires first data in a first period, compares the first data with preset normal data before the first period to determine whether the first data are consistent, writes a destination address of a first data packet header into a destination address of communication transfer equipment to obtain a first packet, sends the first packet to the data transfer equipment, writes the destination address of the first data packet header into an emergency destination address to obtain the first packet if the first data are inconsistent, and sends the first packet to the data transfer equipment;
After the data transfer equipment receives the first packet, if the destination address of the first packet is determined to be an emergency destination address, forwarding the first packet to a data center corresponding to the emergency destination address with the highest priority, and if the destination address of the first packet is determined to be a local address, executing a normal data processing flow;
After the data center receives the first packet, analyzing the first packet to obtain first data of the first packet, performing intelligent diagnosis on the first data to determine a first abnormal condition corresponding to the first data, and executing an emergency flow corresponding to the first abnormal condition.
In a second aspect, there is provided an intelligent diagnostic method based on device online data, the system comprising: the system comprises an acquisition terminal, data transfer equipment and a data center,
The acquisition terminal is used for acquiring first data in a first period, comparing the first data with preset normal data before the first period to determine whether the first data are consistent, if so, writing a destination address of a first data packet header into a destination address of the communication transfer equipment to obtain a first packet, sending the first packet to the data transfer equipment, and if not, writing the destination address of the first data packet header into an emergency destination address to obtain the first packet, and sending the first packet to the data transfer equipment;
The data transfer equipment is used for forwarding the first packet to a data center corresponding to the emergency destination address with the highest priority if the destination address of the first packet is determined to be the emergency destination address after the first packet is received, and executing a normal data processing flow if the destination address of the first packet is determined to be the local address;
And the data center is used for analyzing the first packet to obtain first data of the first packet after receiving the first packet, performing intelligent diagnosis on the first data to determine a first abnormal condition corresponding to the first data, and executing an emergency flow corresponding to the first abnormal condition.
In a third aspect, a computer-readable storage medium storing a program for electronic data exchange is provided, wherein the program causes a device online data-based intelligent diagnostic system to perform the method provided in the first aspect.
The embodiment of the application has the following beneficial effects: the technical scheme provided by the application is that the acquisition terminal acquires first data in a first period, compares the first data with zeroth data in a zeroth period before the first period to determine whether the first data is consistent, writes a destination address of a first data packet header into a destination address of communication transfer equipment to obtain a first packet, sends the first packet to the data transfer equipment, writes the destination address of the first data packet header into an emergency destination address to obtain the first packet if the first data is inconsistent, and sends the first packet to the data transfer equipment; after the data transfer equipment receives the first packet, if the destination address of the first packet is determined to be an emergency destination address, forwarding the first packet to a data center corresponding to the emergency destination address with the highest priority, and if the destination address of the first packet is determined to be a local address, executing a normal data processing flow; after the data center receives the first packet, analyzing the first packet to obtain first data of the first packet, performing intelligent diagnosis on the first data to determine an abnormal condition corresponding to the first data, and executing an emergency flow corresponding to the abnormal condition. In this way, for the acquisition terminal, abnormal data can be quickly sent to the data center through the emergency destination address, after the data center processes the abnormal data, a corresponding emergency flow is executed, so that diagnosis delay of data transfer equipment is avoided, and for the acquisition terminal, the processed data cannot have the transferred data and only the local acquired data is processed, so that the processing speed of the data can be improved, the abnormal response speed is improved, the diagnosis speed of the abnormal condition is further improved, and the safety of the data is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an industrial Internet architecture;
FIG. 2 is a flow diagram of a method of intelligent diagnosis based on device online data;
Fig. 3 is a schematic structural diagram of an intelligent diagnostic system based on device online data.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms "first," "second," "third," and "fourth" and the like in the description and in the claims and drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, fig. 1 provides a schematic structural diagram of an industrial internet, and specifically, as shown in fig. 1, the industrial internet may include: the data center 100, the communication transfer device 101, and the collection terminal 102, wherein the data center 100 is connected with the communication transfer device 101, and the collection terminal 102 is connected with the communication transfer device 101, and the connection mode specifically may be: limited mode, wireless mode, etc., the present application is not limited to the above communication modes.
Various types of sensors are available to the acquisition terminal 102 including, but not limited to: temperature sensors, pressure sensors, position sensors, image sensors, smoke sensors, etc.
The communication relay apparatus 101 may be a computer apparatus, or may have a communication apparatus for data relay, for example, an Access Point (AP), and the data center may be composed of a plurality of computer apparatuses, and the computer apparatus may be a computer apparatus of an operating system such as IOS, android, hong, or the like, or may be a computer apparatus of another system, and the present application is not limited to the specific operating system. The computer device may be connected to other devices in a wireless manner, and may of course also be linked to other devices in a wired manner, where the computer device may specifically be: personal computers, servers, tablet computers, and the like.
For the data of the industrial internet, the collected data are usually specific data, such as the Wei temperature data collected by a temperature sensor, the pressure data collected by a pressure sensor and the like, and for such data, especially the data of the industrial internet, the data have certain repeatability, such as the temperature sensor, the temperature data collected by the temperature sensor have periodic repeatability due to the repeatability of industrial manufacture and the sampling frequency of the temperature sensor is consistent, and in addition, the data collected by the sensors of the same type at different positions can be the same, and the existing industrial internet transmits all the data, so that the data quantity of data transmission is increased and the subsequent storage quantity is increased.
Referring to fig. 2, fig. 2 is a flow chart of an intelligent diagnosis method based on-line data of a device, which is implemented in the industrial internet as shown in fig. 1, and as shown in fig. 2, the method includes the following steps:
Step S201, the acquisition terminal acquires first data in a first period, compares the first data with preset normal data before the first period to determine whether the first data are consistent, writes a destination address of a first data packet header into a destination address of communication transfer equipment to obtain a first packet, sends the first packet to the data transfer equipment, writes the destination address of the first data packet header into an emergency destination address to obtain the first packet if the first data are inconsistent, and sends the first packet to the data transfer equipment;
for example, the comparing the first data with the preset normal data before the first period to determine whether the first data is consistent may specifically include:
The acquisition terminal adds the value of each bit of the first data to obtain a first sum, compares the first sum with a threshold value (the sum of the values of the preset normal data) to determine whether the first sum is consistent with the preset normal data before the first period if the first sum is consistent (the difference between the first sum and the threshold value can be zero or the difference is within a first range), and determines whether the first data is inconsistent with the preset normal data before the first period if the first sum is inconsistent (the first sum is not consistent, and the details are omitted).
Compared with normal comparison, namely one by one, the comparison method can improve the comparison speed, for comparison, two data (preset normal data and first data) need to be extracted one by one, for example, the two data need to occupy 64 kilobits of memory, for an acquisition terminal, the two data need to occupy a large memory, for the acquisition terminal, the two data can be limited in data processing, for comparison of sum only, only the first data need to be extracted, namely, only the memory which occupies 32 kilobits is needed, for comparison of sum threshold generally occupies 32 bits, almost ignorance is caused, the memory occupied by the method is reduced, in addition, under the principle of comparison and comparison, the acquired data regularity of the acquisition terminal in the industrial internet is high, for example, the temperature value acquired in one period of the acquisition terminal needs to be consistent when the temperature is not abnormal, and the acquisition frequency of the same sensor is the same, so that the difference of the acquired data in one period can be almost normal through verification.
For example, the emergency destination address may be a preset destination address, and the destination address may be a MAC address or an IP address, for example 11111111, or a special address that is not used. The emergency destination address may specifically be a virtual destination address allocated to an emergency processing device in the data center.
Step S202, after the data transfer equipment receives the first packet, if the destination address of the first packet is determined to be an emergency destination address, forwarding the first packet to a data center corresponding to the emergency destination address with the highest priority, and if the destination address of the first packet is determined to be a local address, executing a normal data processing flow;
for example, the normal data processing flow may specifically include:
And (3) storing or storing the first data of the first packet in a corresponding acquisition period of the first packet, wherein in practical application, the first data is identical to the preset normal data, and only the acquisition period corresponding to the first packet is needed to be stored. This can reduce the data storage amount.
Step S203, after the data center receives the first packet, analyzing the first packet to obtain first data of the first packet, performing intelligent diagnosis on the first data to determine a first abnormal condition corresponding to the first data, and executing an emergency procedure corresponding to the first abnormal condition.
The emergency flow for executing the abnormal situation can be obtained through a preset emergency flow, for example, if the abnormal situation is abnormal in temperature control, the production of the corresponding industrial equipment can be suspended, and the emergency flow can be set by a user or can be determined according to a historical emergency flow.
The technical scheme provided by the application is that the acquisition terminal acquires first data in a first period, compares the first data with zeroth data in a zeroth period before the first period to determine whether the first data is consistent, writes a destination address of a first data packet header into a destination address of communication transfer equipment to obtain a first packet, sends the first packet to the data transfer equipment, writes the destination address of the first data packet header into an emergency destination address to obtain the first packet if the first data is inconsistent, and sends the first packet to the data transfer equipment; after the data transfer equipment receives the first packet, if the destination address of the first packet is determined to be an emergency destination address, forwarding the first packet to a data center corresponding to the emergency destination address with the highest priority, and if the destination address of the first packet is determined to be a local address, executing a normal data processing flow; after the data center receives the first packet, analyzing the first packet to obtain first data of the first packet, performing intelligent diagnosis on the first data to determine an abnormal condition corresponding to the first data, and executing an emergency flow corresponding to the abnormal condition. In this way, for the acquisition terminal, abnormal data can be quickly sent to the data center through the emergency destination address, after the data center processes the abnormal data, a corresponding emergency flow is executed, so that diagnosis delay of data transfer equipment is avoided, and for the acquisition terminal, the processed data cannot have the transferred data and only the local acquired data is processed, so that the processing speed of the data can be improved, the abnormal response speed is improved, the diagnosis speed of the abnormal condition is further improved, and the safety of the data is improved.
For example, the performing intelligent diagnosis on the first data to determine the abnormal situation corresponding to the first data specifically includes:
Comparing the first data with preset normal data to determine an abnormal region of the first data, analyzing the abnormal region to obtain an abnormal value corresponding to the abnormal region, calculating the difference between the abnormal value and the normal value to obtain a first difference value, and determining the abnormal condition of the first data according to the section where the first difference value is located.
The determining the abnormal condition of the first data according to the interval where the first difference value is located may specifically include:
And determining a first interval corresponding to the first difference value, and inquiring the first abnormal condition corresponding to the first interval from the mapping relation between the interval and the abnormal condition.
Also taking the temperature as an example, the abnormal value corresponding to the abnormal region is obtained by analyzing the abnormal region, namely, the binary value of the abnormal region is converted into a decimal value, for example, the abnormal value is 50 ℃, the normal value is 30 ℃, the difference value is 20 ℃, thus, the abnormal condition corresponding to 20 ℃ is queried, the mapping relation between the interval and the abnormal condition can be obtained through the statistical data between the historical abnormal condition and the difference value, and the description is omitted here.
For example, the method may further include, before executing the emergency procedure corresponding to the first abnormal situation:
the data center acquires the association relation of the first abnormal condition, extracts other data of other acquisition terminals of the acquisition terminal under the association relation, which are acquired in the first period, intelligently diagnoses the other data to determine a second condition corresponding to the other data, executes an emergency flow corresponding to the first abnormal condition if the first abnormal condition is consistent with the second condition, and determines that the acquisition terminal is abnormal in equipment if the second condition is in a normal state.
For example, the association relationship between the abnormal conditions may be obtained according to historical data, for example, if the first abnormal condition is a fire, then the temperature value will be high, and meanwhile, the smoke sensor will also detect an abnormality, so if the first abnormal condition is a fire, if the acquisition terminal is a temperature sensor, then the data acquired by the smoke sensor in the same area as the temperature sensor in the first period may be extracted as other data, and of course, other association relationships may be provided according to different abnormal conditions.
Referring to fig. 3, fig. 3 provides a schematic structural diagram of an intelligent diagnostic system based on device online data, the system comprising: the system comprises an acquisition terminal, data transfer equipment and a data center,
The acquisition terminal is used for acquiring first data in a first period, comparing the first data with preset normal data before the first period to determine whether the first data are consistent, if so, writing a destination address of a first data packet header into a destination address of the communication transfer equipment to obtain a first packet, sending the first packet to the data transfer equipment, and if not, writing the destination address of the first data packet header into an emergency destination address to obtain the first packet, and sending the first packet to the data transfer equipment;
The data transfer equipment is used for forwarding the first packet to a data center corresponding to the emergency destination address with the highest priority if the destination address of the first packet is determined to be the emergency destination address after the first packet is received, and executing a normal data processing flow if the destination address of the first packet is determined to be the local address;
And the data center is used for analyzing the first packet to obtain first data of the first packet after receiving the first packet, performing intelligent diagnosis on the first data to determine a first abnormal condition corresponding to the first data, and executing an emergency flow corresponding to the first abnormal condition.
By way of example only, the present invention is directed to a method of,
The acquisition terminal is specifically configured to add the value of each bit of the first data to obtain a first sum, compare the first sum with a threshold value, and determine whether the first sum is consistent with preset normal data before the first period if the first sum is consistent with the threshold value, and determine that the first data is inconsistent with the preset normal data before the first period if the first sum is inconsistent with the threshold value.
By way of example only, the present invention is directed to a method of,
The acquisition terminal is specifically used for comparing the first data with preset normal data to determine an abnormal region of the first data, analyzing the abnormal region to obtain an abnormal value corresponding to the abnormal region, calculating the difference between the abnormal value and the normal value to obtain a first difference value, and determining the abnormal condition of the first data according to the interval where the first difference value is located; the determining the abnormal condition of the first data according to the interval where the first difference value is located specifically includes: and determining a first interval corresponding to the first difference value, and inquiring the first abnormal condition corresponding to the first interval from the mapping relation between the interval and the abnormal condition.
The embodiment of the invention also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program makes a computer execute part or all of the steps of any intelligent diagnosis method based on device online data as described in the embodiment of the method.
Embodiments of the present invention also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps of any one of the device online data-based intelligent diagnostic methods described in the method embodiments above.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts, as some steps may be performed in other orders or concurrently in accordance with the present invention. Further, those skilled in the art will also appreciate that the embodiments described in the specification are alternative embodiments, and that the acts and modules referred to are not necessarily required for the present invention.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional manners of dividing the actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
The foregoing has outlined rather broadly the more detailed description of embodiments of the invention, wherein the principles and embodiments of the invention are explained in detail using specific examples, the above examples being provided solely to facilitate the understanding of the method and core concepts of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (9)
1. An intelligent diagnosis method based on equipment online data is characterized by comprising the following steps:
The method comprises the steps that an acquisition terminal acquires first data in a first period, compares the first data with preset normal data before the first period to determine whether the first data are consistent, writes a destination address of a first data packet header into a destination address of communication transfer equipment to obtain a first packet, sends the first packet to the data transfer equipment, writes the destination address of the first data packet header into an emergency destination address to obtain the first packet if the first data are inconsistent, and sends the first packet to the data transfer equipment;
After the data transfer equipment receives the first packet, if the destination address of the first packet is determined to be an emergency destination address, forwarding the first packet to a data center corresponding to the emergency destination address with the highest priority, and if the destination address of the first packet is determined to be a local address, executing a normal data processing flow;
After the data center receives the first packet, analyzing the first packet to obtain first data of the first packet, performing intelligent diagnosis on the first data to determine a first abnormal condition corresponding to the first data, and executing an emergency flow corresponding to the first abnormal condition.
2. The intelligent diagnostic method based on the on-line data of the device according to claim 1, wherein comparing the first data with the preset normal data before the first period to determine whether the first data is consistent specifically comprises:
the acquisition terminal adds the numerical value of each bit of the first data to obtain a first sum, compares the first sum with a threshold value to judge whether the first sum is consistent or not, if so, determines that the first data is consistent with preset normal data before the first period, and if not, determines that the first data is inconsistent with the preset normal data before the first period.
3. The intelligent diagnosis method based on the on-line data of the device according to claim 1, wherein the normal data processing flow specifically comprises:
The data transfer device stores the first data of the first packet or the acquisition period corresponding to the first packet.
4. The intelligent diagnosis method based on the on-line data of the device according to claim 1, wherein the performing intelligent diagnosis on the first data to determine the abnormal condition corresponding to the first data specifically includes:
Comparing the first data with preset normal data to determine an abnormal region of the first data, analyzing the abnormal region to obtain an abnormal value corresponding to the abnormal region, calculating the difference between the abnormal value and the normal value to obtain a first difference value, and determining the abnormal condition of the first data according to the section where the first difference value is located;
the determining the abnormal condition of the first data according to the interval where the first difference value is located specifically includes:
And determining a first interval corresponding to the first difference value, and inquiring the first abnormal condition corresponding to the first interval from the mapping relation between the interval and the abnormal condition.
5. An intelligent diagnostic system based on device online data, the system comprising: the acquisition terminal, the data transfer equipment and the data center are characterized in that,
The acquisition terminal is used for acquiring first data in a first period, comparing the first data with preset normal data before the first period to determine whether the first data are consistent, if so, writing a destination address of a first data packet header into a destination address of the communication transfer equipment to obtain a first packet, sending the first packet to the data transfer equipment, and if not, writing the destination address of the first data packet header into an emergency destination address to obtain the first packet, and sending the first packet to the data transfer equipment;
The data transfer equipment is used for forwarding the first packet to a data center corresponding to the emergency destination address with the highest priority if the destination address of the first packet is determined to be the emergency destination address after the first packet is received, and executing a normal data processing flow if the destination address of the first packet is determined to be the local address;
And the data center is used for analyzing the first packet to obtain first data of the first packet after receiving the first packet, performing intelligent diagnosis on the first data to determine a first abnormal condition corresponding to the first data, and executing an emergency flow corresponding to the first abnormal condition.
6. The intelligent diagnostic system based on-line data of a device of claim 5,
The acquisition terminal is specifically configured to add the value of each bit of the first data to obtain a first sum, compare the first sum with a threshold value, and determine whether the first sum is consistent with preset normal data before the first period if the first sum is consistent with the threshold value, and determine that the first data is inconsistent with the preset normal data before the first period if the first sum is inconsistent with the threshold value.
7. The intelligent diagnostic system based on-line data of claim 5, wherein the normal data processing flow specifically comprises:
The data transfer device stores the first data of the first packet or the acquisition period corresponding to the first packet.
8. The intelligent diagnostic system based on-line data of a device of claim 5, wherein,
The acquisition terminal is specifically configured to compare the first data with preset normal data to determine an abnormal region of the first data, analyze the abnormal region to obtain an abnormal value corresponding to the abnormal region, calculate a difference between the abnormal value and the normal value to obtain a first difference value, and determine an abnormal condition of the first data according to a section where the first difference value is located; the determining the abnormal condition of the first data according to the interval where the first difference value is located specifically includes: and determining a first interval corresponding to the first difference value, and inquiring the first abnormal condition corresponding to the first interval from the mapping relation between the interval and the abnormal condition.
9. A computer-readable storage medium storing a program for electronic data exchange, characterized in that the program causes a device online data-based intelligent diagnostic system to perform the method according to any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410572341.XA CN118174959B (en) | 2024-05-10 | 2024-05-10 | Intelligent diagnosis method, system and storage medium based on equipment online data |
Applications Claiming Priority (1)
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