CN112738158B - Information transmission method, information transmission device, computer equipment and storage medium - Google Patents
Information transmission method, information transmission device, computer equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
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Abstract
The information transmission method comprises the steps that equipment running state information in various electric power information is converted into a preset format through edge side equipment, then the equipment running state information is subjected to semantic analysis through a target analysis model in gateway equipment and then is sent to a cloud server, and the cloud server receives the target running state information, so that information transmission of the electric power information from different terminal equipment to the cloud server can be completed. According to the information transmission method provided by the embodiment of the application, the edge side equipment and the gateway equipment are used for preprocessing various electric power information provided by different electric power equipment, so that the processing pressure of the cloud server on different electric power information is greatly relieved, the technical problem that the processing efficiency of the cloud server on each electric power information is reduced in the prior art is solved, and the technical effect of improving the processing efficiency of the cloud server on different electric power information is achieved.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to an information transmission method and apparatus, a computer device, and a storage medium.
Background
In the power grid, data information of each power distribution network needs to be sent to a cloud server of a main network for unified management, and with the development of the internet technology, data management of each power distribution network is gradually intelligentized. At present, the information transmission process between each power distribution network and a cloud server is as follows: the method comprises the steps of firstly collecting power information of each terminal device of each power distribution network, then compressing the collected various power information, then transmitting a compressed power information packet to a cloud server through wireless communication equipment and the like, and finally decompressing the power information packet and carrying out corresponding analysis processing by the cloud server.
Due to the fact that the number of terminal devices in the power distribution network is increased day by day, the generated power information is increased gradually, and a large amount of power information needs to be completely concentrated in the cloud server to be analyzed and processed correspondingly, so that great challenges are brought to network bandwidth, cloud storage and computing capacity of the cloud server. Since the types of the power information are different and the information amount is huge, the efficiency of the cloud server for processing the power information is easily reduced.
Disclosure of Invention
In view of the above, it is necessary to provide an information transmission method, an information transmission apparatus, a computer device, and a storage medium.
In a first aspect, an information transmission method is provided, where the information transmission method is used in an information transmission system, where the information transmission system includes an edge device, a gateway device, and a cloud server, and the gateway device is connected to the edge device and the cloud server, respectively, and the method includes:
the method comprises the steps that edge side equipment receives various kinds of power information sent by different terminal equipment, converts equipment running state information contained in the power information into a preset format, and sends the equipment running state information after format conversion to gateway equipment;
the gateway equipment receives the equipment running state information after format conversion, carries out semantic analysis on the equipment running state information after format conversion by using a target analysis model to obtain target running state information after semantic analysis, and sends the target running state information to the cloud server;
and the cloud server receives the target operation state information and stores the target operation state information.
In an optional embodiment of the present application, performing semantic analysis on the format-converted device running state information by using a target analysis model to obtain target running state information after the semantic analysis, including: the gateway equipment carries out semantic analysis on the equipment running state information based on the target analysis model to obtain initial running state information; and the gateway equipment filters the abnormal information of the initial running state information to obtain target running state information.
In an optional embodiment of the present application, the gateway device performs exception information filtering on the initial running state information to obtain target running state information, including: if the parameter of the initial running state information exceeds the preset range, the gateway equipment determines that the current initial running state information is abnormal information; and the gateway equipment filters the abnormal information to obtain target running state information.
In an optional embodiment of the present application, the method further comprises: the cloud server takes the stored multiple historical target operation state information as training samples; the cloud server trains the initial analytical model based on the training samples to obtain a target analytical model; and the cloud server issues the target analysis model to the gateway equipment.
In an optional embodiment of the present application, the multiple pieces of historical target operating state information include multiple types of device state information, and the cloud server uses the stored multiple pieces of historical target operating state information as a training sample, including: the cloud server determines a plurality of groups of training sample sets according to the stored information of the running states of the plurality of historical targets, wherein each group of training sample sets comprises the information of the running states of the plurality of historical targets with the same type; the cloud server trains the initial analytic model based on the training samples to obtain a target analytic model, and the method comprises the following steps: and the cloud server trains the initial analytical model in sequence based on each group of training sample sets respectively to obtain a plurality of target analytical models corresponding to each group of training sample sets respectively.
In an optional embodiment of the present application, the edge device receives multiple types of power information sent by different terminal devices, and converts device operating state information included in the power information into a preset format, including: the method comprises the following steps that the edge side equipment receives various kinds of power information sent by different terminal equipment, wherein each kind of power information comprises: the device information and the device running state information corresponding to the device information; the edge side equipment extracts target equipment information and sends the target equipment information to a cloud server through gateway equipment for validity verification; if the target equipment information passes the validity verification, the edge side equipment extracts the target equipment running state information corresponding to the target equipment; and the edge side equipment converts the format of the extracted running state information of the target equipment into a preset format.
In an optional embodiment of the present application, the method further comprises: and the cloud server performs space-time registration on the target running state information, wherein the space-time registration is to obtain an average value of the same type of equipment state information in the plurality of target running state information received in a preset period.
In a second aspect, there is provided an information transmission system including: the gateway equipment is respectively connected with the edge side equipment and the cloud server;
the edge side equipment is used for receiving various kinds of electric power information sent by different terminal equipment, converting equipment running state information contained in the electric power information into a preset format and sending the equipment running state information after format conversion to the gateway equipment;
the gateway equipment is used for receiving the equipment running state information after format conversion, performing semantic analysis on the equipment running state information after format conversion by using a target analysis model to obtain target running state information after the semantic analysis, and sending the target running state information to the cloud server;
the cloud server is used for receiving the target running state information and storing the target running state information.
In an optional embodiment of the present application, the gateway device is specifically configured to perform semantic parsing on the device operating state information based on a target parsing model to obtain initial operating state information; and filtering abnormal information of the initial running state information to obtain target running state information.
In an optional embodiment of the present application, if a parameter of the initial operating state information exceeds a preset range, the gateway device is specifically configured to determine that the current initial operating state information is abnormal information; and filtering the abnormal information to obtain target running state information.
In an optional embodiment of the present application, the cloud server is further configured to use the stored multiple pieces of historical target operating state information as training samples; training the initial analytical model based on the training sample to obtain a target analytical model; and issuing the target analysis model to the gateway equipment.
In an optional embodiment of the present application, the multiple pieces of historical target operating state information include multiple types of device state information, and the cloud server is specifically configured to determine multiple sets of training sample sets according to the stored multiple pieces of historical target operating state information, where each set of training sample set includes multiple pieces of historical target operating state information of the same type; and sequentially training the initial analytical model based on each group of training sample sets respectively to obtain a plurality of target analytical models corresponding to each group of training sample sets respectively.
In an optional embodiment of the present application, the edge-side device is specifically configured to receive multiple types of power information sent by different terminal devices, where each type of power information includes: the device information and the device running state information corresponding to the device information; extracting target equipment information, and sending the target equipment information to a cloud server through gateway equipment for validity verification; if the target equipment information passes the validity verification, extracting the target equipment running state information corresponding to the target equipment; and converting the format of the extracted running state information of the target equipment into a preset format.
In an optional embodiment of the present application, the cloud server is further configured to perform spatio-temporal registration on the target operating state information, where the spatio-temporal registration is to average device state information of the same type in a plurality of target operating state information received within a preset period.
In a third aspect, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of the above method when executing the computer program.
In a fourth aspect, a computer-readable storage medium is provided, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method as above.
According to the information transmission method, the edge side equipment converts the equipment running state information in the various electric power information into a preset format, and then the target running state information after format conversion is subjected to semantic analysis through a target analysis model in the gateway equipment to obtain the target running state information. And finally, the target running state information is sent to a cloud server through the gateway equipment, and the cloud server receives the target running state information and stores the target running state information, so that the information transmission of the electric power information from different terminal equipment to the cloud server can be completed. According to the information transmission method provided by the embodiment of the application, the edge side device and the gateway device preprocess various electric power information provided by different electric power devices and then send the electric power information to the cloud server for storage, so that the processing pressure of the cloud server on different electric power information is greatly relieved, the technical problem that the processing efficiency of the cloud server on each electric power information is reduced in the prior art is solved, and the technical effect of improving the processing efficiency of the cloud server on different electric power information is achieved.
Drawings
FIG. 1 is a diagram of an exemplary embodiment of a method for transferring information;
FIG. 2 is a flow diagram illustrating a method for information transfer according to one embodiment;
FIG. 3 is a flow chart illustrating a method of information transfer according to an embodiment;
FIG. 4 is a flow chart illustrating a method of information transfer according to an embodiment;
FIG. 5 is a flow diagram illustrating a method for information transfer according to one embodiment;
FIG. 6 is a flow chart illustrating a method of information transfer according to an embodiment;
FIG. 7 is a flow diagram illustrating a method for information transfer according to one embodiment;
FIG. 8 is a block diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application 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 merely illustrative of the present application and are not intended to limit the present application.
In the power grid, data information of each power distribution network needs to be sent to a cloud server of a main network for unified management, and with the development of the internet technology, data management of each power distribution network is gradually intelligentized. At present, the information transmission process between each power distribution network and a cloud server is as follows: the method comprises the steps of firstly collecting power information of each terminal device of each power distribution network, then compressing the collected multiple kinds of power information, then transmitting a compressed power information packet to a cloud server through wireless communication equipment and the like, and finally decompressing the power information packet by the cloud server and carrying out corresponding analysis processing.
Due to the fact that the number of terminal devices in the power distribution network is increased day by day, the generated power information is increased gradually, and a large amount of power information needs to be completely concentrated in the cloud server to be analyzed and processed correspondingly, so that great challenges are brought to network bandwidth, cloud storage and computing capacity of the cloud server. Since the types of the power information are different and the amount of the information is huge, the efficiency of the cloud server for processing the power information is easily reduced.
In view of this, an embodiment of the present application provides an information transmission method, where an edge device converts device running state information in multiple types of power information into a preset format, and then performs semantic parsing on the format-converted device running state information through a target parsing model in a gateway device to obtain target running state information. And finally, the target running state information is sent to a cloud server through the gateway equipment, and the cloud server receives the target running state information and stores the target running state information, so that the information transmission of the electric power information from different terminal equipment to the cloud server can be completed. According to the information transmission method, the edge side device and the gateway device preprocess various electric power information provided by different electric power devices, and then send the electric power information to the cloud server for storage, so that the processing pressure of the cloud server on different electric power information is greatly relieved, the technical problem that the processing efficiency of the cloud server on each electric power information is reduced in the prior art is solved, and the technical effect of improving the processing efficiency of the cloud server on different electric power information is achieved.
In the following, an implementation environment related to the information transmission method provided by the embodiment of the present application will be briefly described.
Referring to fig. 1, an information transmission method provided in an embodiment of the present application is applied to an information transmission system 100, where the information transmission system 100 includes: the device comprises an edge side device 101, a gateway device 102 and a cloud server 103, wherein the gateway device 102 is connected with the edge side device 101 and the cloud server 103 respectively. The edge side device 101 is configured to receive multiple types of power information sent by different terminal devices and perform format conversion on device operation state information in the multiple types of power information, the gateway device 102 is configured to perform semantic analysis on the device operation state information after format conversion, and the cloud server 103 is configured to receive and store the device operation state information after semantic analysis. The following embodiments will be described in detail with the information transmission system 100 as an implementation subject.
Referring to fig. 2, an embodiment of the present application provides an information transmission method, which can be applied to the information transmission system 100 described above, and the following embodiment describes, by taking as an example that the method is applied to the information transmission system 100 in fig. 1, for performing information transmission on different power information collected by a terminal device, including the following steps 201 to 203:
Different terminal devices transmit different power information to the edge side device, where the different power information may include, for example: the current collecting device information, the current information and the voltage collecting device information corresponding to the current collecting device, the voltage information and the temperature collecting device information corresponding to the voltage collecting device, and the temperature information corresponding to the temperature collecting device. The data formats of the different power information are also various, such as byte, short, int, long, float, double, char, and bootean. After receiving the different power information with different formats, the edge device extracts the device operating status information in the power information, such as the above-mentioned current information, voltage information, and temperature information. The edge side equipment converts the multi-source data format of the running state information of the equipment into a unified format through a multi-dimensional heterogeneous data unification technology, namely converts the format into a preset format, so that the running state information of the equipment can be conveniently and uniformly processed by subsequent gateway equipment and a cloud server, and the processing efficiency of the running state information of the equipment by the gateway equipment and the cloud server is further improved. It should be noted that the preset format may be specifically set according to actual situations, and the present embodiment is not limited in particular, and may preferably be a data type compatible with the cloud server.
The gateway device is internally pre-stored with a target analysis model, which is used for performing semantic analysis on the device running state information, namely, testing and processing the device running state information according to preset conditions, and forming a format of an intermediate state between the preset format and the target format. After receiving the device running state information, the gateway device inputs the device running state information into the target analysis model, so that target running state information subjected to semantic analysis can be obtained, and then the gateway device can send the target running state information to the cloud server by adopting a uniform communication protocol.
And step 203, the cloud server receives the target operation state information and stores the target operation state information.
The cloud server receives target running state information sent by the gateway equipment, the target running state information is information subjected to format conversion and analysis processing, the data formats of the target running state information are the same, the communication protocols of the target running state information are the same, and the target running state information is subjected to semantic analysis, so that the cloud server only needs to store the target running state information and directly performs subsequent analysis processing, and the information processing pressure of the cloud server is greatly relieved.
According to the information transmission method provided by the embodiment of the application, the edge side equipment converts the equipment running state information in the various electric power information into the preset format, and then the target analysis model in the gateway equipment performs semantic analysis on the equipment running state information after format conversion to obtain the target running state information. And finally, the target running state information is sent to a cloud server through gateway equipment, the cloud server receives the target running state information and stores the target running state information, and then information transmission of the electric power information from different terminal equipment to the cloud server can be completed. According to the information transmission method provided by the embodiment of the application, the edge side device and the gateway device preprocess various electric power information provided by different electric power devices and then send the electric power information to the cloud server for storage, so that the processing pressure of the cloud server on different electric power information is greatly relieved, the technical problem that the processing efficiency of the cloud server on each electric power information is reduced in the prior art is solved, and the technical effect of improving the processing efficiency of the cloud server on different electric power information is achieved.
Referring to FIG. 3, in an alternative embodiment of the present application, step 202 includes the following steps 301-302:
The gateway equipment is internally stored with a pre-established target analysis model, inputs the received equipment running state information into the target analysis model, and carries out semantic analysis on the equipment running state information by the target analysis model to generate initial running state information. The initial operating state information refers to operating state information which is only semantically parsed and is not subjected to any other processing, and includes all the device operating state information.
The gateway device can obtain target running state information after filtering the abnormal information of the initial running state information, the target running state information is information which can be directly analyzed and processed by the cloud processor, and all the information is available and effective information. After the abnormal information filtering is carried out on the initial running state information, the effectiveness of the follow-up cloud server for receiving the information can be effectively guaranteed, meanwhile, the pressure of the cloud server on processing the useless information can be greatly relieved after the abnormal information is filtered, and therefore the processing efficiency of the cloud server on different electric power information is greatly improved.
Referring to FIG. 4, in an alternative embodiment of the present application, step 302 includes steps 401-402:
After the gateway device obtains the initial operation state information, performing anomaly analysis on the initial operation state information to judge whether the information belongs to anomaly information. Determining whether the parameter of the initial operating state information exceeds the preset range may include: judging whether the current initial running state information exceeds a normal working parameter range, judging whether the parameter distribution of the current initial running state information is abnormal, judging whether the information receiving time of the gateway equipment for receiving the current initial running state information and the time interval for receiving the previous information of the type exceed a preset threshold value, and the like. And if the current initial running state information meets the at least one condition, determining that the current initial running state information is abnormal information.
The gateway device filters the abnormal information determined in the step 401 to obtain the target running state information, the utilization rate of the cloud server to the target running state information is far higher than that of the initial running state information, and the information capacity of the target running state information is greatly reduced compared with that of the initial running state information, so that the effectiveness of the subsequent cloud server in receiving information can be effectively guaranteed, meanwhile, the pressure of the cloud server on processing useless information is greatly relieved, and the processing efficiency of the cloud server on different electric power information is greatly improved.
Referring to fig. 5, in an alternative embodiment of the present application, the information transmission method further includes steps 501 to 503:
The gateway equipment continuously sends target running state information to the cloud server, and the cloud server extracts a plurality of historical target running state information stored in a certain period to serve as training samples. The capacity of the training sample is not particularly limited in this embodiment, and may be selected or set according to actual conditions.
The cloud server stores a certain volume of training samples, the training samples are input into the initial analytical model for training, when the training loss value reaches a preset value, the training is stopped, and the current initial analytical model is determined as a target analytical model.
The cloud server sends the target analysis model to the gateway equipment through the downlink interface, and the gateway equipment performs semantic analysis processing on the initial operation state information through the target analysis model after receiving the target analysis model. The target analysis model of the embodiment is trained according to the original data, and semantic analysis processing is performed on the original data, namely the initial running state information, based on the target analysis model, so that the gateway device can more accurately analyze the initial running state information.
Referring to fig. 6, in an alternative embodiment of the present application, the plurality of historical target operating status information includes a plurality of types of device status information, and step 501 includes the following steps 601-602:
The cloud server establishes a group of training sample sets aiming at each type of equipment state information, wherein each group of training sample sets comprises a plurality of historical target operation state information with the same type. For example, the cloud server establishes a voltage training sample set for voltage information, the voltage training sample set including historical voltage information, establishes a current training sample set for current information, the current training sample set including historical current information, and establishes a temperature training sample set for temperature information, the temperature training sample set including historical temperature information.
Correspondingly, step 502 includes:
In the first aspect, the initial analytical model is trained based on each set of training samples to obtain a target analytical model of the sample. For example, the plurality of training sample sets may be configured to train the initial analysis model based on a voltage training sample set to obtain a voltage analysis model, train the initial analysis model based on a current training sample set to obtain a current analysis model, and train the initial analysis model based on a temperature training sample set to obtain a temperature analysis model.
In a second aspect, the initial analytic model may be trained in sequence based on all training sample sets to obtain a target analytic model. For example, the multiple sets of training sample sets may be given different weights for the voltage training sample set, the current training sample set, and the temperature training sample set, and then the initial analytic model is trained based on the training sample sets with different weights to obtain the target analytic model. For example, when the voltage analytic model needs to be determined, different weights may be given to the voltage training sample set, the current training sample set, and the temperature training sample set, for example, 8:1:1. similarly, when the current analysis model needs to be determined, different weights may be given to the voltage training sample set, the current training sample set, and the temperature training sample set, for example, 2:7:1.
and finally, after the cloud server obtains a plurality of target analysis models through training, the plurality of target analysis models are issued to the gateway equipment so as to analyze or predict different initial operation state information.
Referring to fig. 7, in an alternative embodiment of the present application, step 201 includes the following steps 701-704:
The plurality of terminal devices transmit respective power information to the edge side device according to a certain period, wherein each type of power information comprises: the device information and device operation state information corresponding to the device information. The device information is used to characterize which type of device the currently received message comes from, and the device operation state information is an operation parameter corresponding to the device, for example, if the device information is a voltage acquisition device, the device operation state information is voltage data acquired by the voltage acquisition device.
The edge side device extracts target device information, that is, device information in the currently received power information, and then sends the device information to the cloud server through the communication device or the like for validity verification, where the verification content may include verification of the type of the device information, for example, whether the current device is a device in a preset device list is determined, and through validity verification of the device information, security of information transmission may be greatly improved, and illegal devices and illegal data corresponding to the illegal devices are prevented from intruding.
And 703, if the target device information passes the validity verification, the edge side device extracts the target device running state information corresponding to the target device.
When the target device information passes the validity verification, the edge side device extracts device running state information corresponding to the target device information for preparation of transmission to the cloud server. For example, if the device information of the voltage acquisition device passes the validity verification, the voltage data corresponding to the voltage acquisition device is extracted. According to the embodiment, through the validity verification, illegal information can be prevented from being uploaded to the cloud server, so that the safety of the cloud server and the safety of information transmission are guaranteed.
After the target device information passes the validity verification, the edge side device may upload the target device operation state information corresponding to the target device to the cloud server. In this embodiment, before the target device operation state information is uploaded to the cloud server, the target device operation state information may be converted into the preset format, so that the cloud server can perform unified processing conveniently, and thus the processing efficiency of the cloud server on different power information is improved.
In an optional embodiment of the present application, the information transmission method further includes: and the cloud server performs space-time registration on the target operation state information.
The cloud server performs space-time registration on the target running state information by adopting a multi-component multi-modal data fusion technology, wherein the space-time registration is to obtain an average value of the same type of equipment state information in a plurality of target running state information received in a preset period. For example, for voltage information, the cloud server averages all voltage data received within 24 hours; aiming at the current information, the cloud server calculates an average value of all received current data within 24 hours; for temperature information, the cloud server averages all temperature data received over a 24 hour period. Then, the running state information after the average value is obtained is used as the training sample, so that the sample capacity can be greatly shortened, the training time of the model is greatly shortened on the premise of ensuring the accuracy of the analysis model, and the processing efficiency of the cloud server on different electric power information is improved to a certain extent.
It should be understood that, although the steps in the flowchart are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in the figures may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of execution of the steps or stages is not necessarily sequential, but may be performed alternately or in alternation with other steps or at least some of the other steps or stages.
Continuing to refer to fig. 1, an embodiment of the present application provides an information transmission system 100, where the information transmission system 100 includes: the system comprises edge side equipment 101, gateway equipment 102 and a cloud server 103, wherein the gateway equipment 102 is respectively connected with the edge side equipment 101 and the cloud server 103;
the edge side device 101 is configured to receive multiple types of power information sent by different terminal devices, convert device operation state information included in the power information into a preset format, and send the format-converted device operation state information to the gateway device 102;
the gateway device 102 is configured to receive the device running state information after format conversion, perform semantic analysis on the device running state information after format conversion by using a target analysis model to obtain target running state information after semantic analysis, and send the target running state information to the cloud server 103;
the cloud server 103 is configured to receive the target operation state information and store the target operation state information.
In an optional embodiment of the present application, the gateway device 102 is specifically configured to perform semantic parsing on the device operation state information based on a target parsing model to obtain initial operation state information; and filtering abnormal information of the initial running state information to obtain target running state information.
In an optional embodiment of the present application, if a parameter of the initial operating state information exceeds a preset range, the gateway device 102 is specifically configured to determine that the current initial operating state information is abnormal information; and filtering the abnormal information to obtain target running state information.
In an optional embodiment of the present application, the cloud server 103 is further configured to use the stored multiple pieces of historical target operating state information as training samples; training the initial analytical model based on the training sample to obtain a target analytical model; and issuing the target analysis model to the gateway device 102.
In an optional embodiment of the present application, the multiple pieces of historical target operating state information include multiple types of device state information, and the cloud server 103 is specifically configured to determine multiple sets of training sample sets according to the stored multiple pieces of historical target operating state information, where each set of training sample set includes multiple pieces of historical target operating state information of the same type; and sequentially training the initial analytical model based on each group of training sample sets respectively to obtain a plurality of target analytical models corresponding to each group of training sample sets respectively.
In an optional embodiment of the present application, the edge-side device 101 is specifically configured to receive multiple types of power information sent by different terminal devices, where each type of power information includes: the device information and the device running state information corresponding to the device information; extracting target equipment information, and sending the target equipment information to a cloud server 103 through a gateway device 102 for validity verification; if the target equipment information passes the validity verification, extracting the target equipment running state information corresponding to the target equipment; and converting the format of the extracted running state information of the target equipment into a preset format.
In an optional embodiment of the present application, the cloud server 103 is further configured to perform spatio-temporal registration on the target operating state information, where the spatio-temporal registration is to average the same type of device state information in a plurality of target operating state information received within a preset period.
For specific limitations of the information transmission system 100, reference may be made to the above limitations of the information transmission method, which are not described herein again. The various modules in the information delivery system 100 described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Fig. 8 is a schematic diagram of an internal structure of a computer device in an embodiment of the present application, where the computer device may be a server. As shown in fig. 8, the computer device includes a processor, a memory, and a communication component connected by a system bus. Wherein the processor is used for providing calculation and control capability and supporting the operation of the whole computer equipment. The memory may include a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The computer program can be executed by a processor to implement an information transmission method provided by the above embodiments. The internal memory provides a cached operating environment for the operating system and computer programs in the non-volatile storage medium. The computer device may communicate with other computer devices (e.g., STAs) through the communication component.
It will be appreciated by those skilled in the art that the configuration shown in fig. 8 is a block diagram of only a portion of the configuration associated with the present application, and is not intended to limit the computing device to which the present application may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a computer device comprising: comprising a memory and a processor, the memory storing a computer program.
When the computer device is an edge side device, the processor executes the computer program to realize the following steps: receiving various kinds of power information sent by different terminal devices, converting device operation state information contained in the power information into a preset format, and sending the format-converted device operation state information to gateway equipment;
when the computer device is a gateway device, the processor executes the computer program to realize the following steps: receiving the equipment running state information after format conversion, performing semantic analysis on the equipment running state information after format conversion by using a target analysis model to obtain target running state information after semantic analysis, and sending the target running state information to a cloud server;
when the computer device is a cloud server, the processor executes the computer program to realize the following steps: and receiving the target running state information and storing the target running state information.
In one embodiment of the application, when the computer device is a gateway device, the processor executes the computer program to further implement the following steps: performing semantic analysis on the equipment running state information based on a target analysis model to obtain initial running state information; and filtering abnormal information of the initial running state information to obtain target running state information.
In one embodiment of the application, when the computer device is a gateway device, the processor executes the computer program to further perform the following steps: if the parameter of the initial running state information exceeds a preset range, determining the current initial running state information as abnormal information; and filtering the abnormal information to obtain target running state information.
In an embodiment of the application, when the computer device is a cloud server, the processor when executing the computer program further realizes the following steps: using the stored multiple historical target running state information as training samples; training the initial analytical model based on the training sample to obtain a target analytical model; and issuing the target analysis model to the gateway equipment.
In an embodiment of the application, when the computer device is a cloud server, the processor executes the computer program to further implement the following steps: determining a plurality of groups of training sample sets according to the stored running state information of the plurality of historical targets, wherein each group of training sample sets comprises the running state information of the plurality of historical targets with the same type; training the initial analytical model based on the training samples to obtain a target analytical model, comprising: and sequentially training the initial analytical model based on each group of training sample sets respectively to obtain a plurality of target analytical models corresponding to each group of training sample sets respectively.
In an embodiment of the application, when the computer device is an edge side device, the processor executes the computer program to further implement the following steps: receiving a plurality of types of power information sent by different terminal devices, wherein each type of power information comprises: the device information and the device running state information corresponding to the device information; extracting target equipment information, and sending the target equipment information to a cloud server through gateway equipment for validity verification; if the target equipment information passes the validity verification, extracting the target equipment running state information corresponding to the target equipment; and converting the format of the extracted running state information of the target equipment into a preset format.
In an embodiment of the application, when the computer device is a cloud server, the processor when executing the computer program further realizes the following steps: and performing space-time registration on the target running state information, wherein the space-time registration refers to averaging the state information of the same type of equipment in the plurality of target running state information received in a preset period.
The implementation principle and technical effect of the computer device provided by the embodiment of the present application are similar to those of the method embodiment described above, and are not described herein again.
In one embodiment, a computer-readable storage medium having a computer program stored thereon is provided.
When the computer readable storage medium is an edge side device, the computer program when executed by the processor implements the steps of: receiving various kinds of power information sent by different terminal devices, converting device operation state information contained in the power information into a preset format, and sending the device operation state information after format conversion to a gateway device;
when the computer readable storage medium is a gateway device, the computer program when executed by the processor performs the steps of: receiving the equipment running state information after format conversion, performing semantic analysis on the equipment running state information after format conversion by using a target analysis model to obtain target running state information after semantic analysis, and sending the target running state information to a cloud server;
when the computer readable storage medium is a cloud server, the computer program when executed by the processor implements the steps of: and receiving the target running state information and storing the target running state information.
In one embodiment of the application, when the computer readable storage medium is a gateway device, the computer program when executed by the processor performs the steps of: performing semantic analysis on the equipment running state information based on a target analysis model to obtain initial running state information; and filtering abnormal information of the initial running state information to obtain target running state information.
In one embodiment of the application, when the computer readable storage medium is a gateway device, the computer program when executed by the processor performs the steps of: if the parameter of the initial running state information exceeds a preset range, determining the current initial running state information as abnormal information; and filtering the abnormal information to obtain target running state information.
In one embodiment of the application, when the computer readable storage medium is a cloud server, the computer program when executed by the processor implements the steps of: using the stored multiple historical target running state information as training samples; training the initial analytical model based on the training sample to obtain a target analytical model; and issuing the target analysis model to the gateway equipment.
In one embodiment of the application, when the computer readable storage medium is a cloud server, the computer program when executed by the processor implements the steps of: determining a plurality of groups of training sample sets according to the stored running state information of the plurality of historical targets, wherein each group of training sample sets comprises the running state information of the plurality of historical targets with the same type; training the initial analytical model based on the training samples to obtain a target analytical model, comprising: and sequentially training the initial analytical model based on each group of training sample sets respectively to obtain a plurality of target analytical models corresponding to each group of training sample sets respectively.
In one embodiment of the present application, when the computer readable storage medium is an edge side device, the computer program when executed by the processor implements the steps of: receiving a plurality of types of power information sent by different terminal devices, wherein each type of power information comprises: the device information and the device running state information corresponding to the device information; extracting target equipment information, and sending the target equipment information to a cloud server through gateway equipment for validity verification; if the target equipment information passes the validity verification, extracting the target equipment running state information corresponding to the target equipment; and converting the format of the extracted running state information of the target equipment into a preset format.
In one embodiment of the application, when the computer readable storage medium is a cloud server, the computer program when executed by the processor implements the steps of: and performing space-time registration on the target running state information, wherein the space-time registration refers to averaging the state information of the same type of equipment in a plurality of pieces of target running state information received in a preset period.
The implementation principle and technical effect of the computer-readable storage medium provided by this embodiment are similar to those of the above-described method embodiment, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in M forms, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SyMchlimk) DRAM (SLDRAM), raMbus (RaMbus) direct RAM (RDRAM), direct RaMbus Dynamic RAM (DRDRAM), and RaMbus Dynamic RAM (RDRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (9)
1. An information transmission method is used in an information transmission system, where the information transmission system includes an edge device, a gateway device, and a cloud server, and the gateway device is connected to the edge device and the cloud server, respectively, and the method includes:
the edge side equipment receives a plurality of kinds of power information sent by different terminal equipment, wherein each kind of power information comprises: the device information and the device running state information corresponding to the device information; the edge side equipment extracts target equipment information, and sends the target equipment information to the cloud server through the gateway equipment for validity verification, wherein the target equipment information is equipment information in the power information; if the target equipment information passes the validity verification, the edge side equipment extracts target equipment running state information corresponding to the target equipment; the edge side equipment converts the format of the extracted target equipment running state information into a preset format and sends the target equipment running state information after format conversion to the gateway equipment;
the gateway equipment receives the equipment running state information after the format conversion, carries out semantic analysis on the equipment running state information after the format conversion by using a target analysis model to obtain target running state information after the semantic analysis, and sends the target running state information to the cloud server;
and the cloud server receives the target operation state information and stores the target operation state information.
2. The information transmission method according to claim 1, wherein the performing semantic analysis on the format-converted device operating state information by using a target analysis model to obtain target operating state information after the semantic analysis includes:
the gateway equipment carries out semantic analysis on the equipment running state information based on the target analysis model to obtain initial running state information;
and the gateway equipment filters the abnormal information of the initial running state information to obtain the target running state information.
3. The information transmission method according to claim 2, wherein the gateway device performs exception information filtering on the initial operating state information to obtain the target operating state information, and includes:
if the parameter of the initial running state information exceeds a preset range, the gateway equipment determines that the current initial running state information is the abnormal information;
and the gateway equipment filters the abnormal information to obtain the target running state information.
4. The information transmission method according to claim 1, wherein the method further comprises:
the cloud server takes the stored multiple historical target operation state information as training samples;
the cloud server trains an initial analytical model based on the training sample to obtain a target analytical model;
and the cloud server issues the target analysis model to the gateway equipment.
5. The information transmission method according to claim 4, wherein the plurality of pieces of historical target operating state information include a plurality of types of device state information, and the cloud server uses the stored plurality of pieces of historical target operating state information as training samples, including:
the cloud server determines a plurality of groups of training sample sets according to a plurality of stored historical target running state information, wherein each group of training sample sets comprises a plurality of historical target running state information with the same type;
the cloud server trains an initial analytical model based on the training samples to obtain a target analytical model, and the method comprises the following steps:
and the cloud server sequentially trains the initial analytical model based on each group of training sample sets respectively to obtain a plurality of target analytical models corresponding to each group of training sample sets respectively.
6. The information transmission method according to claim 1, wherein the method further comprises:
and the cloud server performs space-time registration on the target running state information, wherein the space-time registration is to obtain an average value of the same type of equipment state information in a plurality of target running state information received in a preset period.
7. An information transmission system is characterized by comprising edge side equipment, gateway equipment and a cloud server, wherein the gateway equipment is respectively connected with the edge side equipment and the cloud server;
the edge-side device, configured to perform the method performed by the edge-side device of any one of claims 1 to 6;
the gateway device for performing the method performed by the gateway device of any one of claims 1 to 6;
the cloud server is used for executing the method executed by the cloud server in any one of claims 1 to 6.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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