CN115347915A - Method and device for detecting running state of power line carrier communication equipment - Google Patents
Method and device for detecting running state of power line carrier communication equipment Download PDFInfo
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Abstract
The invention discloses a method and a device for detecting the running state of power line carrier communication equipment, wherein the method comprises the following steps: acquiring real-time operation data of power line carrier communication equipment to be detected; setting real-time operation data as a twin mapping index, and establishing a digital twin model of the power line carrier communication equipment to be detected; and randomly sampling the running data of the digital twin model in real time, and detecting the running state of the power line carrier communication equipment to be detected according to the sampling result. The embodiment of the invention improves the detection efficiency of the operating state of the power line carrier communication equipment.
Description
Technical Field
The invention relates to the technical field of equipment detection, in particular to a method and a device for detecting the running state of power line carrier communication equipment.
Background
The power line carrier communication network is used as a resource-intensive network, and resources in the system have the characteristics of large quantity, various types, wide distribution and the like. In consideration of the characteristic that the power line carrier communication equipment frequently changes in various stages such as purchase, operation, maintenance, return and the like, it is necessary to enhance the detection of the operation state of the power line carrier communication equipment.
At present, the detection of the running state of carrier communication equipment in China mainly depends on a regular scheduled maintenance mode, namely, after the carrier communication equipment completes a certain running period, the running state of the communication equipment is checked in a manual mode, the damage degree is observed, and warning information is issued. The method judges the residual service life of the carrier equipment through theoretical calculation or experience, the judgment result is often subjective and speculative, the high time cost is consumed, the real-time management of the communication equipment cannot be realized, and the operation and maintenance work is difficult to be carried out in time.
Therefore, the operation state detection method of the existing power line carrier communication equipment has the problem of low efficiency.
Disclosure of Invention
The embodiment of the invention provides a method and a device for detecting the running state of power line carrier communication equipment, which improve the detection efficiency of the running state of the power line carrier communication equipment.
A first aspect of an embodiment of the present application provides a method for detecting an operating state of a power line carrier communication device, including:
acquiring real-time operation data of power line carrier communication equipment to be detected;
setting real-time operation data as a twin mapping index, and establishing a digital twin model of the power line carrier communication equipment to be detected;
and randomly sampling the running data of the digital twin model in real time, and detecting the running state of the power line carrier communication equipment to be detected according to the sampling result.
In a possible implementation manner of the first aspect, the real-time operation data of the to-be-detected power line carrier communication device includes:
commissioning duration, ambient temperature, ambient humidity, manufacturer, number of alarm strobes, number of defects, current, signal-to-noise ratio, bit error rate, port bandwidth occupancy, primary alarm occupancy, emergency alarm occupancy, and ratio between emergency and primary alarms.
In a possible implementation manner of the first aspect, the establishing a digital twin model of the to-be-detected power line carrier communication device specifically includes:
establishing a three-dimensional model of the power line carrier communication equipment to be detected according to the structural data of the power line carrier communication equipment to be detected; wherein the structure data includes: size data and a structure diagram of narrow-band communication equipment, broadband communication equipment, a coupler, a carrier gateway and an accessory device in the power line carrier communication equipment to be detected;
establishing a simulation environment for the operation of the carrier communication equipment according to the environment parameter information;
and updating the three-dimensional model and the simulation environment in real time according to the real-time operation data to complete the establishment of the digital twin model.
In a possible implementation manner of the first aspect, the detecting the operation state of the power line carrier communication device to be detected according to the sampling result specifically includes:
calculating the health index of the power line carrier communication equipment to be detected according to the sampling result;
calculating the cumulative distribution probability of the health condition of the power line carrier communication equipment to be detected according to the distribution condition of the health indexes;
inputting the health condition cumulative distribution probability into an inverse cumulative distribution function of Weibull distribution, and calculating to obtain a health grade threshold;
and detecting the running state of the power line carrier communication equipment to be detected according to the health index and the health grade threshold value.
In a possible implementation manner of the first aspect, the detecting the operating state of the power line carrier communication device to be detected according to the health index and the health level threshold specifically includes:
the health level thresholds include: a health threshold, a sub-health threshold, and an abnormal state threshold;
when the health index belongs to a health threshold value, judging that the running state of the power line carrier communication equipment to be detected is a healthy running state;
when the health index belongs to a sub-health threshold value, judging that the operation state of the power line carrier communication equipment to be detected is a sub-health operation state;
and when the health index belongs to the abnormal state threshold value, judging that the operation state of the power line carrier communication equipment to be detected is an abnormal operation state.
In a possible implementation manner of the first aspect, the method further includes:
and inputting the real-time operation data into the GA-G-BP neural network so that the GA-G-BP neural network extracts data characteristics according to the real-time operation data and then performs data processing according to the data characteristics and the component tags.
In a possible implementation manner of the first aspect, the generation process of the GA-G-BP neural network specifically includes:
performing GA optimization processing on the characteristic data set to generate a minimum simplified data set;
establishing a three-layer neural network structure according to the minimum simplified data set;
training a three-layer neural network structure, setting a hidden layer neuron activation function and an output layer neuron activation function, and establishing a BP neural network;
and updating the weight and the threshold of each layer of neuron in the BP neural network according to an epsilon-greedy algorithm until an iteration termination condition is met, stopping training and generating the GA-G-BP neural network.
A second aspect of the embodiments of the present application provides a device for detecting an operating state of a power line carrier communication device, including: the device comprises an acquisition module, an establishment module and a detection module;
the acquisition module is used for acquiring real-time operation data of the power line carrier communication equipment to be detected;
the establishing module is used for setting the real-time operation data as a twin mapping index and establishing a digital twin model of the power line carrier communication equipment to be detected;
the detection module is used for randomly sampling the operation data of the digital twin model in real time and detecting the operation state of the power line carrier communication equipment to be detected according to the sampling result.
A third aspect of the embodiments of the present application provides a mobile terminal, including a processor and a memory, where the memory stores a computer-readable program code, and when the processor executes the computer-readable program code, the steps of the method for detecting the operating state of the power line carrier communication device are implemented.
A fourth aspect of the embodiments of the present application provides a storage medium, which stores computer-readable program codes, and when the computer-readable program codes are executed, the steps of the method for detecting the operating state of the power line carrier communication device are implemented.
Compared with the prior art, the method and the device for detecting the operating state of the power line carrier communication equipment provided by the embodiment of the invention comprise the following steps: acquiring real-time operation data of power line carrier communication equipment to be detected; setting real-time operation data as a twin mapping index, and establishing a digital twin model of the power line carrier communication equipment to be detected; and randomly sampling the running data of the digital twin model in real time, and detecting the running state of the power line carrier communication equipment to be detected according to the sampling result.
The beneficial effects are that: the embodiment of the invention sets the real-time operation data of the power line carrier communication equipment to be detected as the twin mapping index, establishes the digital twin model of the power line carrier communication equipment to be detected, randomly samples the operation data of the digital twin model in real time, and then can realize real-time automatic monitoring on the operation state of the power line carrier communication equipment to be detected according to the sampling result, thereby avoiding the problem of low efficiency caused by manual detection, improving the detection efficiency on the operation state of the power line carrier communication equipment, and simultaneously improving the detection real-time performance and the detection precision on the operation state of the power line carrier communication equipment.
Furthermore, the embodiment of the invention establishes the digital twin model of the power line carrier communication equipment to be detected, so that the management personnel can not visually know the environments of the field communication system and the carrier communication equipment, the real fault point is restored, and the emergency repair work can be carried out in time.
Furthermore, in the embodiment of the present invention, real-time operation data of the power line carrier communication device to be detected is set as a twin mapping index, and the real-time operation data includes: the method has the advantages that the method is long in commissioning time, environment temperature, environment humidity, manufacturers, alarm stroboscopic frequency, defect frequency, current, signal-to-noise ratio, bit error rate, port bandwidth occupancy rate, main alarm occupancy rate, emergency alarm occupancy rate and proportion between the emergency alarm and the main alarm, the complexity of evaluation parameters is reduced, and the accuracy of the obtained state evaluation result is ensured on the basis of comprehensive selection. Meanwhile, the embodiment of the invention provides a carrier communication equipment health condition evaluation method based on the differentiation index threshold, and the equipment health condition evaluation threshold can be dynamically adjusted based on the global health index distribution condition. And by combining a digital twin technology, data required by equipment health condition evaluation are obtained, so that the evaluation result is more effective.
Finally, the embodiment of the invention combines the digital twin Reality (MR) technology with the carrier communication system, fuses the MR technology with the high-fidelity behavior simulation information of the carrier communication equipment, and acquires the running state data of the carrier communication equipment. In addition, the embodiment of the invention optimizes the BP neural network by using epsilon-greedy and a Genetic Algorithm (GA), and provides an improved GA-G-BP neural network. In order to solve the problem of low data processing efficiency of the traditional MR technology, an information processing method of MR mixed reality carrier communication equipment based on a GA-G-BP neural network is provided, data streams are processed and output according to the corresponding relation between processing components and data characteristics based on the data stream characteristics learned by the neural network, and the data processing speed of the MR technology is improved.
Drawings
Fig. 1 is a schematic flowchart of a method for detecting an operating state of a power line carrier communication device according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a full lifecycle management system of a carrier communication device based on a digital twin according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a device for detecting an operating state of a power line carrier communication apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, which is a schematic flow chart of a method for detecting an operating state of a power line carrier communication device according to an embodiment of the present invention, the method includes steps S101 to S103:
s101: and acquiring real-time operation data of the power line carrier communication equipment to be detected.
In this embodiment, the real-time operation data of the to-be-detected power line carrier communication device includes:
commissioning duration, ambient temperature, ambient humidity, manufacturer, number of alarm strobes, number of defects, current, signal-to-noise ratio, bit error rate, port bandwidth occupancy, primary alarm occupancy, emergency alarm occupancy, and proportion between emergency and primary alarms.
Further, since the evaluation indexes of the power line carrier communication apparatus are many and complicated, the state quantities can be divided into operation, maintenance, raw data, and others. If all of the indexes are applied to the condition evaluation, the evaluation complexity increases. Therefore, the embodiment of the invention refers to the state evaluation guide rule, and selects the indexes such as commissioning duration, environment temperature, environment humidity, manufacturer, alarm stroboscopic frequency, defect frequency, current, signal-to-noise ratio, bit error rate, port bandwidth occupancy rate, main alarm occupancy rate, emergency alarm occupancy rate, proportion of emergency alarm and main alarm and the like as the evaluation system according to the state information of different dimensions of the carrier communication equipment, thereby reducing the complexity of evaluation parameters and ensuring the accuracy of the obtained state evaluation result on the basis of comprehensive selection.
S102: and setting the real-time operation data as a twin mapping index, and establishing a digital twin model of the power line carrier communication equipment to be detected.
The digital twin model in the digital space is used for realizing high fidelity simulation of the state of the power line carrier communication equipment, establishing mapping from the real-time state of the physical space carrier communication equipment to the digital space, and constructing a high-fidelity simulation environment for the operation of the carrier communication equipment.
In this embodiment, the establishing a digital twin model of the to-be-detected power line carrier communication device specifically includes:
establishing a three-dimensional model of the to-be-detected power line carrier communication equipment according to the structural data of the to-be-detected power line carrier communication equipment; wherein the structure data comprises: size data and a structure chart of narrow-band communication equipment, broadband communication equipment, a coupler, a carrier gateway and an accessory device in the power line carrier communication equipment to be detected;
establishing a simulation environment for the operation of the carrier communication equipment according to the environment parameter information;
and updating the three-dimensional model and the simulation environment in real time according to the real-time operation data to complete the establishment of the digital twin model.
In a specific embodiment, a three-dimensional model comprising a power line carrier narrowband communication device, a power line carrier broadband communication device, a coupler and an accessory device is specifically created; according to three-dimensional size data and a structure diagram of power line carrier narrow-band communication equipment, power line carrier broadband communication equipment, a coupler, a carrier gateway and an accessory device, in a three-dimensional modeling tool, according to the following steps of 1:1, creating a three-dimensional model of the carrier communication device; and establishing a high-fidelity simulation environment for the operation of the carrier communication equipment according to the environment parameter information, and updating the virtual digital model and the environment in real time according to the real-time operation data of the power line carrier communication equipment to realize high-fidelity behavior simulation.
S103: and randomly sampling the running data of the digital twin model in real time, and detecting the running state of the power line carrier communication equipment to be detected according to the sampling result.
In this embodiment, the detecting the operating state of the to-be-detected power line carrier communication device according to the sampling result specifically includes:
calculating the health index of the power line carrier communication equipment to be detected according to the sampling result;
calculating the cumulative distribution probability of the health condition of the power line carrier communication equipment to be detected according to the distribution condition of the health index;
inputting the health condition cumulative distribution probability into an inverse cumulative distribution function of Weibull distribution, and calculating to obtain a health grade threshold;
and detecting the running state of the power line carrier communication equipment to be detected according to the health index and the health grade threshold value.
The method comprises the steps of randomly sampling operation data of a digital twin model in real time, in order to obtain probability distribution data required by equipment health condition evaluation, representing a health condition distribution rule of the power line carrier communication equipment by adopting Weibull distribution, and then calculating the health grade of the power line carrier communication equipment by adopting an evaluation method based on a differentiation index threshold value.
In a specific embodiment, the detecting the operating state of the to-be-detected power line carrier communication device according to the health index and the health level threshold specifically includes:
the health level threshold comprises: a health threshold, a sub-health threshold, and an abnormal state threshold;
when the health index belongs to a health threshold value, judging that the running state of the power line carrier communication equipment to be detected is a healthy running state;
when the health index belongs to a sub-health threshold value, judging that the running state of the power line carrier communication equipment to be detected is a sub-health running state;
and when the health index belongs to the abnormal state threshold value, judging that the operation state of the power line carrier communication equipment to be detected is an abnormal operation state.
The carrier communication equipment condition grading adopts 'no system' at the early stage, only the carrier communication equipment is divided into two states of health or not, the method cannot describe the health or the deterioration degree of the carrier communication equipment in detail, and good suggestions cannot be given to further decision and whether to overhaul. Therefore, the carrier communication equipment state is divided into a healthy state, a sub-healthy state and an abnormal state according to the evaluation guide.
The current power standards or guidelines specify thresholds for portions of the characteristic parameters that reflect the condition of the carrier communication device, and the device status is evaluated by comparing whether the attention value is exceeded. However, the characteristic parameter threshold value often represents the average level of the similar devices and cannot represent the difference among the devices, and due to the complexity and uncertainty of the device faults, the membership function constructed by using the threshold value often cannot be suitable for evaluation of carrier communication devices of different types and different levels, so that the reliability of indexes and the accuracy of evaluation results are reduced. The method comprises the following steps of acquiring differentiation threshold values of various state quantities based on Weibull distribution, introducing a dynamic threshold value theory, comprehensively considering the influence of state quantities such as external information, static information and real-time information of the carrier communication equipment, and establishing a membership function based on the influence to realize the detection of the equipment state, wherein the method comprises the following specific steps:
based on the carrier communication equipment full life cycle management real-time information (set sampling result), calculating the carrier communication equipment health index as
Wherein H 0 Is an initial value of health index, T, of a carrier communication device 1 For the year of equipment delivery, T 2 H is T for the year corresponding to the health index to be calculated 2 Temporal carrier communication device healthIndex value in the range of 0,1]1 represents that the equipment is in the best state, 0 represents that the equipment is in the worst state, and B is an aging coefficient; wherein, the health index at the end of the service life of the equipment is generally about 0.35.
In a preferred embodiment, the abnormal state threshold is [0,0.35], the sub-health threshold is [0.35,0.75], and the health threshold is [0.75,1]. Wherein, the threshold value is dynamically adjusted according to the distribution condition of the equipment health index. In a special case, if the health indexes of all the carrier communication devices are less than 0.35 or greater than 0.75, the carrier communication devices are all determined to be in an abnormal state or healthy state.
Acquiring the health index distribution condition of all carrier communication equipment, and counting the probability p = [ p ] that a plurality of pieces of equipment are in a healthy state, a sub-healthy state and an abnormal state nor ，p sub ，p abn ]Accumulating p to obtain cumulative distribution probability F = [) I ，F II ，1]Wherein F is Ⅰ The cumulative distribution probability corresponding to the health condition; f Ⅱ The cumulative distribution probability corresponding to the sub-health condition.
The embodiment of the invention adopts the Weibull distribution to represent the health condition distribution rule of the carrier communication equipment, and the probability density function of a Weibull model is
Cumulative distribution function of
Wherein beta is a shape parameter of Weibull distribution, and the value range of the shape parameter reflects the failure characteristic of equipment; alpha is a scale parameter of Weibull distribution, and the value range of the scale parameter mainly influences the mean value and the width of a distribution function; and x is a characteristic parameter measurement value. The estimation of alpha and beta may be by a maximum likelihood estimation method. And establishing a likelihood function equation set of alpha and beta according to a probability density function of the Weibull model, substituting the characteristic parameter data x into the likelihood equation set, and optimizing to obtain alpha and beta.
F is to be Ⅰ And F Ⅱ And sequentially substituting the obtained data into an inverse cumulative distribution function of Weibull distribution to calculate to obtain the health grade threshold. Wherein, the inverse cumulative distribution function of the Weibull distribution is as follows:
X G ＝α[-ln(1-F)] 1/β ；
further, the health level threshold includes: health threshold X Ⅰ Sub-health threshold X Ⅱ And abnormal state threshold value X Ⅲ And according to the health grade threshold value, the health grade of the power line carrier communication equipment is divided.
In a specific embodiment, the method further comprises:
and inputting the real-time operation data into a GA-G-BP neural network so that the GA-G-BP neural network extracts data characteristics according to the real-time operation data and then performs data processing according to the data characteristics and the component tags.
In a specific embodiment, the generation process of the GA-G-BP neural network specifically includes:
performing GA (genetic algorithm) optimization processing on the characteristic data set to generate a minimum simplified data set;
establishing a three-layer neural network structure according to the minimum simplified data set;
training the three-layer neural network structure, setting a hidden layer neuron activation function and an output layer neuron activation function, and establishing a BP neural network;
and updating the weight and the threshold of each layer of neurons in the BP neural network according to an epsilon-greedy algorithm until an iteration termination condition is met, stopping training and generating the GA-G-BP neural network.
And further, the obtained health grade result is transmitted to a data storage module for being called by an MR man-machine interaction module, and the information processing method of the MR mixed reality carrier communication equipment based on the GA-G-BP neural network is provided, so that high-efficiency data processing is realized. The method specifically comprises the following steps:
s2.1: the MR man-machine interaction module acquires a state information data stream of the power line carrier communication equipment;
s2.2: a GA-G-BP neural network is constructed, the data stream is learned based on the neural network, and data characteristics are obtained, and the method is specifically introduced as follows:
firstly, designing a sample data simplification mode based on GA optimization, comprising the following steps.
1) The feature data set a = cove D,
c represents a condition attribute set, and D represents a decision attribute set;
2) Calculating the dependency T of the decision attribute D on the condition attribute set C;
3) Calculating an attribute Core (C), and sequentially removing a condition attribute C i ∈C；
4) Initializing and randomly generating m populations with the length of | C |, wherein the individuals are coded in a binary mode, 1 represents that the attribute is reserved, and 0 represents that the attribute is deleted. Selecting a fitness function
Calculating individual fitness, L representing the length of the chromosome, i.e. the number of attributes, L x Is the number of 1 in the chromosome;
5) The individual selection adopts a roulette method to generate a new generation of population;
6) Calculating the fitness value of the individuals in the new generation, and directly transmitting the optimal individuals to the next generation;
7) And judging whether the fitness value of the individual tends to be stable, if so, terminating the calculation and outputting the optimal individual to obtain the minimum simplified attribute, and otherwise, turning to 5).
Secondly, constructing the BP neural network, comprising the following steps.
According to the minimum simplified data set, firstly, a three-layer neural network structure with t inputs and r outputs is built. Wherein the number of hidden layer neurons is set to k, i.e., the input layer neuron vector is represented by X = (X) 1 ,..,x i ,…,x t ) T Wherein x is 1 、x i And x t The 1 st, ith and tth input layer neurons, respectively. Hidden layer neuron output vector is represented as S = (S) 1 ,..,s i ,…,s t ) T Wherein s is 1 ,s i And s t The 1 st, ith and tth hidden layer neurons, respectively. The output layer output vector is denoted as O = (O) 1 ,..,o i ,…,o t ) T Wherein o is 1 ,o i And o t The 1 st, ith and tth output layer neurons, respectively. The network weight between the input layer neuron and the hidden layer neuron is v ih The network weight between the hidden layer neuron and the output layer neuron is w hj Hidden layer neuron threshold θ h Output layer neuron threshold δ j 。
Then, training the neural network, setting a hidden layer neuron activation function f (x), outputting a layer neuron activation function g (x), and respectively obtaining data characteristic learning hidden layer neurons s suitable for the carrier communication equipment h And output layer neurons o j . Wherein the hidden layer neurons s h Comprises the following steps:
output layer neurons o j Comprises the following steps:
the hidden layer activation function is:
where x is the input.
The output layer activation function is:
where x is the input.
The loss function can reflect the model and the realityAnd (4) updating the weight and the bias through back propagation to gradually reduce the error of the next round of training. To determine the error between the estimated value and the actual value, a loss function is defined as
Wherein N is the number of samples, y is the neural network training sample output, r is the dimensionality of the data,
is the desired output.
And finally, optimizing the BP neural network by using an epsilon-greedy algorithm to construct a GA-G-BP neural network, wherein the method comprises the following steps.
Modeling the neuron combination selection problem of each layer as a multi-arm gambling machine problem (MAB), defining an MR man-machine interaction module as a decision maker, and deciding the number of the optimal hidden layer neurons for a neural network according to the obtained reward; the rocker arm is defined as the combination of the number of each layer of the neurons, wherein the number of the layers of the neural network is set to be 3, the number of the neurons in each layer is divided into 3 grades between [32,128], and the combination is 9 types, namely 9 rocker arms exist. And defining the reciprocal of the loss function obtained between two times of training of the neural network as the reward.
1) Initialization: and initializing the selection times of the neuron combinations of each layer and the reward values of the combinations, and when t is less than 9, traversing to select each neuron group and obtaining the initial reward value.
2) Selecting the number of the neurons: firstly, generating a random number mu epsilon (0,1), when the random number mu is larger than epsilon, selecting a neuron combination with the maximum historical reward value as the number of hidden layers of the neural network, otherwise, randomly selecting a neuron combination as the number of the hidden layers of the neural network;
3) Updating: the loss function value is observed between every two times of training, and the reward value and each combined selection number are updated according to the loss function value until the algorithm is finished.
And constructing a GA-G-BP neural network according to the obtained hidden layer number and each layer of neuron number, inputting the training set into neurons of an input layer by taking data of a last week as the training set, then, positively propagating the signals layer by layer and calculating and outputting the signals until the results of the output layer exist and the errors of the output layer are calculated, and then, reversely propagating the errors and updating the weight and the threshold of each layer of neurons. The training is not stopped until the process is repeated until the iteration termination condition is met, and the obtained neural network parameters hardly change. And obtaining a GA-G-BP neural network model which meets error conditions and has high accuracy, and learning the data stream based on the neural network to obtain data characteristics.
S2.3: and the GA-G-BP neural network learns the type of the processing component of the MR interaction module to obtain a processing component label, and learns the corresponding relation between the processing component label and the data characteristic.
S2.4: and the GA-G-BP neural network processes and outputs the data stream according to the learned data characteristics and the corresponding relation processing component.
Further, an embodiment of the present invention provides a carrier communication device full-lifecycle management system based on digital twin, please refer to fig. 2, where fig. 2 is a schematic structural diagram of the carrier communication device full-lifecycle management system based on digital twin according to an embodiment of the present invention, including: the system comprises a data acquisition module 201, a data analysis module 202, an MR human-computer interaction module 203, an application module 204 and a data storage module 205.
The data acquisition module 201 includes: the sensor comprises a Hall sensor and an infrared sensor, wherein the Hall sensor is used for acquiring current received by carrier communication equipment, the microcontroller is used for accessing measured data, an adaptive bus and a communication protocol, the data collector is used for receiving the gathered data of the master controller, and the data collector transmits the data to a data storage module through a TCP protocol.
The data analysis module 202 transmits the obtained health index result to the head-mounted device, and combines the high-fidelity behavior simulation information of the carrier communication device to know the state of the device more vividly;
the MR man-machine interaction module 203 realizes interaction of carrier communication states and maintenance operation guidance, and comprises the following parts: processing component, three-dimensional formation of image display module assembly, study module. The processing component is used for processing the data to obtain a data result corresponding to each data and labeling the data result. And the processing component performs label fusion on each data result according to the gesture, the object and the position label, and outputs the fusion result after obtaining the fusion result. And the stereoscopic imaging display module performs stereoscopic imaging display according to human vision based on the output fusion result. The learning module is used for learning the data stream by the neural network to obtain data characteristics, and learning the corresponding relation between the data and the processing component.
The application module 204 is connected with the MR human-computer interaction module 203, and performs corresponding operation management according to the instruction obtained by the MR human-computer interaction module, including a carrier device standing book management unit, a carrier device comprehensive analysis and statistics management unit, and a carrier device full-life cycle management unit.
The data storage module 205 includes an internet of things server and a database.
To further explain the detection apparatus for detecting the operating state of the power line carrier communication device, please refer to fig. 3, where fig. 3 is a schematic structural diagram of the detection apparatus for detecting the operating state of the power line carrier communication device according to an embodiment of the present invention, and includes: an acquisition module 301, an establishment module 302 and a detection module 303;
the obtaining module 301 is configured to obtain real-time operation data of a power line carrier communication device to be detected;
the establishing module 302 is configured to set the real-time operation data as a twin mapping index, and establish a digital twin model of the to-be-detected power line carrier communication device;
the detection module 303 is configured to randomly sample the operation data of the digital twin model in real time, and detect the operation state of the power line carrier communication device to be detected according to a sampling result.
A specific embodiment of the present invention provides a mobile terminal, which includes a processor and a memory, where the memory stores computer-readable program codes, and the processor implements the steps of the method for detecting an operating state of a power line carrier communication device when executing the computer-readable program codes.
A specific embodiment of the present invention provides a storage medium, which stores computer readable program codes, and when the computer readable program codes are executed, the steps of the method for detecting the operating state of the power line carrier communication device are implemented.
The embodiment of the invention obtains real-time operation data of the power line carrier communication equipment to be detected through the obtaining module 301; the real-time operation data is set as a twin mapping index through the establishing module 302, and a digital twin model of the power line carrier communication equipment to be detected is established; the detection module 303 randomly samples the operation data of the digital twin model in real time, and detects the operation state of the power line carrier communication device to be detected according to the sampling result.
The embodiment of the invention sets the real-time operation data of the power line carrier communication equipment to be detected as the twin mapping index, establishes the digital twin model of the power line carrier communication equipment to be detected, randomly samples the operation data of the digital twin model in real time, and then can realize real-time automatic monitoring on the operation state of the power line carrier communication equipment to be detected according to the sampling result, thereby avoiding the problem of low efficiency caused by manual detection, improving the detection efficiency on the operation state of the power line carrier communication equipment, and simultaneously improving the detection real-time performance and the detection precision on the operation state of the power line carrier communication equipment.
Furthermore, the embodiment of the invention establishes the digital twin model of the power line carrier communication equipment to be detected, so that the management personnel can not visually know the environments of the field communication system and the carrier communication equipment, the real fault point is restored, and the emergency repair work can be carried out in time.
Furthermore, in the embodiment of the present invention, real-time operation data of the power line carrier communication device to be detected is set as a twin mapping index, where the real-time operation data includes: the method has the advantages that the method is long in commissioning time, environment temperature, environment humidity, manufacturers, alarm stroboscopic frequency, defect frequency, current, signal-to-noise ratio, bit error rate, port bandwidth occupancy rate, main alarm occupancy rate, emergency alarm occupancy rate and proportion between the emergency alarm and the main alarm, the complexity of evaluation parameters is reduced, and the accuracy of the obtained state evaluation result is ensured on the basis of comprehensive selection. Meanwhile, the embodiment of the invention provides a carrier communication equipment health condition evaluation method based on the differentiation index threshold, and the equipment health condition evaluation threshold can be dynamically adjusted based on the global health index distribution condition. And by combining a digital twin technology, data required by equipment health condition evaluation are obtained, so that the evaluation result is more effective.
Finally, the embodiment of the invention combines the digital twin Reality (MR) technology with the carrier communication system, fuses the MR technology with the high-fidelity behavior simulation information of the carrier communication equipment, and acquires the running state data of the carrier communication equipment. In addition, the embodiment of the invention optimizes the BP neural network by using epsilon-greedy and a Genetic Algorithm (GA), and provides an improved GA-G-BP neural network. In order to solve the problem of low data processing efficiency of the traditional MR technology, an information processing method of the MR mixed reality carrier communication equipment based on the GA-G-BP neural network is provided, data streams are processed and output according to the corresponding relation between processing components and data features based on the data stream features learned by the neural network, and the data processing speed of the MR technology is improved.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A method for detecting the operation state of power line carrier communication equipment is characterized by comprising the following steps:
acquiring real-time operation data of power line carrier communication equipment to be detected;
setting the real-time operation data as a twin mapping index, and establishing a digital twin model of the power line carrier communication equipment to be detected;
and randomly sampling the operating data of the digital twin model in real time, and detecting the operating state of the power line carrier communication equipment to be detected according to the sampling result.
2. The method according to claim 1, wherein the real-time operation data of the to-be-detected power line carrier communication device includes:
commissioning duration, ambient temperature, ambient humidity, manufacturer, number of alarm strobes, number of defects, current, signal-to-noise ratio, bit error rate, port bandwidth occupancy, primary alarm occupancy, emergency alarm occupancy, and proportion between emergency and primary alarms.
3. The method according to claim 2, wherein the establishing of the digital twin model of the to-be-detected power line carrier communication device specifically comprises:
establishing a three-dimensional model of the to-be-detected power line carrier communication equipment according to the structural data of the to-be-detected power line carrier communication equipment; wherein the structure data comprises: size data and a structure chart of narrow-band communication equipment, broadband communication equipment, a coupler, a carrier gateway and an accessory device in the power line carrier communication equipment to be detected;
establishing a simulation environment for the operation of the carrier communication equipment according to the environment parameter information;
and updating the three-dimensional model and the simulation environment in real time according to the real-time operation data to complete the establishment of the digital twin model.
4. The method according to claim 3, wherein the detecting the operating state of the to-be-detected power line carrier communication device according to the sampling result specifically comprises:
calculating the health index of the power line carrier communication equipment to be detected according to the sampling result;
calculating the cumulative distribution probability of the health condition of the power line carrier communication equipment to be detected according to the distribution condition of the health index;
inputting the health condition cumulative distribution probability into an inverse cumulative distribution function of Weibull distribution, and calculating to obtain a health grade threshold;
and detecting the running state of the power line carrier communication equipment to be detected according to the health index and the health grade threshold value.
5. The method for detecting the operating state of the power line carrier communication device according to claim 4, wherein the detecting the operating state of the power line carrier communication device to be detected according to the health index and the health level threshold specifically comprises:
the health level threshold includes: a health threshold, a sub-health threshold, and an abnormal state threshold;
when the health index belongs to a health threshold value, judging that the running state of the power line carrier communication equipment to be detected is a healthy running state;
when the health index belongs to a sub-health threshold value, judging that the running state of the power line carrier communication equipment to be detected is a sub-health running state;
and when the health index belongs to the abnormal state threshold value, judging that the operation state of the power line carrier communication equipment to be detected is an abnormal operation state.
6. The method for detecting the operating status of a power line carrier communication device according to claim 5, further comprising:
and inputting the real-time operation data into a GA-G-BP neural network so that the GA-G-BP neural network extracts data characteristics according to the real-time operation data and then performs data processing according to the data characteristics and the component tags.
7. The method according to claim 6, wherein the generation process of the GA-G-BP neural network specifically comprises:
performing GA optimization processing on the characteristic data set to generate a minimum simplified data set;
establishing a three-layer neural network structure according to the minimum simplified data set;
training the three-layer neural network structure, setting a hidden layer neuron activation function and an output layer neuron activation function, and establishing a BP neural network;
and updating the weight and the threshold of each layer of neurons in the BP neural network according to an epsilon-greedy algorithm until an iteration termination condition is met, stopping training and generating the GA-G-BP neural network.
8. A detection device for detecting an operation state of a power line carrier communication device, comprising: the device comprises an acquisition module, an establishment module and a detection module;
the acquisition module is used for acquiring real-time operation data of the power line carrier communication equipment to be detected;
the establishing module is used for setting the real-time operation data as a twin mapping index and establishing a digital twin model of the power line carrier communication equipment to be detected;
the detection module is used for randomly sampling the operation data of the digital twin model in real time and detecting the operation state of the power line carrier communication equipment to be detected according to the sampling result.
9. A mobile terminal, characterized by comprising a processor and a memory, wherein the memory stores computer readable program codes, and the processor implements the steps of the method for detecting the operating state of a power line carrier communication device according to any one of claims 1 to 7 when executing the computer readable program codes.
10. A storage medium characterized in that it stores computer readable program code which when executed implements the steps of a method for detection of the operating status of a power line carrier communication device as claimed in any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115882900A (en) * | 2023-03-02 | 2023-03-31 | 北京飞利信信息安全技术有限公司 | Method, device, electronic equipment and medium for High Performance Liquid Chromatography (HPLC) power line carrier communication |
| CN116071053A (en) * | 2023-04-07 | 2023-05-05 | 沃德传动（天津）股份有限公司 | Reciprocating compressor state early warning system based on digital twinning |
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- 2022-08-16 CN CN202210980607.5A patent/CN115347915A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115882900A (en) * | 2023-03-02 | 2023-03-31 | 北京飞利信信息安全技术有限公司 | Method, device, electronic equipment and medium for High Performance Liquid Chromatography (HPLC) power line carrier communication |
| CN115882900B (en) * | 2023-03-02 | 2023-04-28 | 北京飞利信信息安全技术有限公司 | HPLC power line carrier communication method, device, electronic equipment and medium |
| CN116071053A (en) * | 2023-04-07 | 2023-05-05 | 沃德传动（天津）股份有限公司 | Reciprocating compressor state early warning system based on digital twinning |
| CN116071053B (en) * | 2023-04-07 | 2023-11-28 | 沃德传动（天津）股份有限公司 | Reciprocating compressor state early warning system based on digital twinning |
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