CN114115008A - 5G network-based power equipment operation data transmission method and system - Google Patents
5G network-based power equipment operation data transmission method and system Download PDFInfo
- Publication number
- CN114115008A CN114115008A CN202111364125.9A CN202111364125A CN114115008A CN 114115008 A CN114115008 A CN 114115008A CN 202111364125 A CN202111364125 A CN 202111364125A CN 114115008 A CN114115008 A CN 114115008A
- Authority
- CN
- China
- Prior art keywords
- power equipment
- generating
- signal
- network
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 56
- 230000005540 biological transmission Effects 0.000 title claims abstract description 42
- 238000007405 data analysis Methods 0.000 claims abstract description 48
- 238000004458 analytical method Methods 0.000 claims abstract description 12
- 230000002159 abnormal effect Effects 0.000 claims description 27
- 238000013507 mapping Methods 0.000 claims description 17
- 238000012545 processing Methods 0.000 claims description 17
- 238000012423 maintenance Methods 0.000 claims description 13
- 230000001419 dependent effect Effects 0.000 claims description 12
- 238000006243 chemical reaction Methods 0.000 claims description 10
- 230000006854 communication Effects 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 4
- 230000007274 generation of a signal involved in cell-cell signaling Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 21
- 230000015654 memory Effects 0.000 description 15
- 239000007789 gas Substances 0.000 description 13
- 238000012544 monitoring process Methods 0.000 description 13
- 230000006870 function Effects 0.000 description 11
- 238000004590 computer program Methods 0.000 description 10
- 238000001514 detection method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24215—Scada supervisory control and data acquisition
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of power equipment management, and particularly discloses a power equipment operation data transmission method based on a 5G network, which comprises the steps of determining core nodes, numbering the core nodes, and collecting input signals and output signals of the core nodes; inputting the input signal into a trained signal analysis model to obtain a prediction signal; generating an information table according to the serial number of the core node, the prediction signal and the output signal; and generating a data analysis chart according to the information table, and sending the data analysis chart to a master control center. The invention converts the monitored data into the graph data, then compresses the graph data and transmits the compressed graph data to the master control center at regular time, thereby greatly relieving the network transmission pressure and further improving the resource utilization rate.
Description
Technical Field
The invention relates to the technical field of power equipment management, in particular to a method and a system for transmitting running data of power equipment based on a 5G network.
Background
The power equipment is an important type of equipment, and the operating state of the equipment needs to be monitored, but the power equipment has certain dangerousness, so the monitoring of the power equipment is generally completed through electronic equipment. However, most of the conventional methods for monitoring the power equipment through the electronic equipment acquire the key parameters of the power equipment in real time and upload the key parameters in real time, and in the process, the network transmission pressure is extremely high, so that most of the computing resources in the electronic equipment are applied to the communication process, and correspondingly, the computing resources applied to monitoring are reduced; what really plays a role is the computing resources applied to monitoring, so the resource utilization rate of the traditional monitoring method is very low.
Disclosure of Invention
The invention aims to provide a method and a system for transmitting running data of power equipment based on a 5G network, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
A5G network-based power equipment operation data transmission method comprises the following steps:
determining core nodes, numbering the core nodes, and collecting input signals and output signals of the core nodes;
inputting the input signal into a trained signal analysis model to obtain a prediction signal;
generating an information table according to the serial number of the core node, the prediction signal and the output signal;
and generating a data analysis chart according to the information table, and sending the data analysis chart to a master control center.
As a further limitation of the technical scheme of the invention: the step of determining the core nodes, numbering the core nodes and collecting the input signals and the output signals of the core nodes comprises the following steps:
the method comprises the steps of obtaining the model of electric power equipment, and determining a first type of core node according to the model of the electric power equipment;
reading a maintenance record of the power equipment, and determining a second type of core node according to the maintenance record;
numbering the first type core nodes and the second type core nodes according to a preset numbering rule; and identifiers are arranged in the serial numbers of the first type core nodes and the second type core nodes.
As a further limitation of the technical scheme of the invention: the step of generating a data analysis chart according to the information table and sending the data analysis chart to a master control center comprises the following steps:
taking the number of the core node as an independent variable, and taking the prediction signal as a dependent variable to generate a prediction sample point;
taking the serial number of the core node as an independent variable, and taking the output signal as a dependent variable to generate an actual sample point;
assigning values to the prediction sample points, the actual sample points and the background points according to a preset assignment rule to obtain a data analysis graph;
and carrying out numerical value conversion on the data analysis graph to obtain a data packet, and sending the data packet to a master control center.
As a further limitation of the technical scheme of the invention: the step of generating a data analysis chart according to the information table and sending the data analysis chart to a master control center further comprises the following steps:
reading the prediction signal and the output signal in the information table to calculate a deviation signal;
comparing the deviation signal with a preset deviation threshold value, and calculating the abnormal times;
when the abnormal times reach a preset time threshold, generating an error reporting request, and sending the error reporting request to a master control center; and generating an error report request and stopping the generation step of the data analysis chart.
As a further limitation of the technical scheme of the invention: the method further comprises the following steps:
acquiring image information of equipment in real time, randomly acquiring pixel points in a preset proportion in the image information, and generating a feature point set; the number of the pixel points of the characteristic point set is the total pixel number point of the image information multiplied by a preset proportion;
sequentially converting pixel points in the feature point set into feature values to obtain a feature array, and generating a mapping value based on the feature array, wherein the mapping value and the image information are in a mapping relation;
and comparing the mapping value with a preset first threshold value, generating an error reporting request when the mapping value reaches the preset threshold value, and sending the error reporting request to a master control center.
As a further limitation of the technical scheme of the invention: the method further comprises the following steps:
acquiring air data of a working area in real time, identifying information gas in the air data, and acquiring the concentration of the information gas;
when the concentration of the information gas reaches a preset second threshold value, recording the reaching time;
and when the time reaches a preset range, generating an error reporting request, and sending the error reporting request to the master control center.
As a further limitation of the technical scheme of the invention: the error reporting request generation process belongs to the acquisition ends, communication channels exist among different acquisition ends, when one processing end is abnormal, the abnormal processing end can transmit abnormal information to other processing ends which are not abnormal, the other processing ends which are not abnormal continue to work normally, the abnormal processing end is positioned according to the abnormal information, positioning information is generated, and the positioning information is sent to the master control center.
The technical scheme of the invention also provides a 5G network-based power equipment operation data transmission system, which comprises:
the signal acquisition module is used for determining core nodes, numbering the core nodes and acquiring input signals and output signals of the core nodes;
the prediction signal generation module is used for inputting the input signal into a trained signal analysis model to obtain a prediction signal;
an information table generating module, configured to generate an information table according to the number of the core node, the prediction signal, and the output signal;
and the graph data sending module is used for generating a data analysis graph according to the information table and sending the data analysis graph to a master control center.
As a further limitation of the technical scheme of the invention: the signal acquisition module includes:
the first node determining unit is used for acquiring the model of the electric power equipment and determining a first type of core node according to the model of the electric power equipment;
the second node determining unit is used for reading the maintenance record of the power equipment and determining a second type of core node according to the maintenance record;
the numbering unit is used for numbering the first type core nodes and the second type core nodes according to a preset numbering rule; and identifiers are arranged in the serial numbers of the first type core nodes and the second type core nodes.
As a further limitation of the technical scheme of the invention: the graph data sending module comprises:
a prediction sample determination unit for generating a prediction sample point with the number of the core node as an argument and the prediction signal as a dependent variable;
the actual sample determining unit generates an actual sample point by taking the serial number of the core node as an independent variable and the output signal as a dependent variable;
the analysis graph generating unit is used for assigning the prediction sample points, the actual sample points and the background points according to a preset assignment rule to obtain a data analysis graph;
and the data conversion unit is used for carrying out numerical value conversion on the data analysis graph to obtain a data packet, and sending the data packet to a master control center.
Compared with the prior art, the invention has the beneficial effects that: the invention converts the monitored data into the graph data, then compresses the graph data and transmits the compressed graph data to the master control center at regular time, thereby greatly relieving the network transmission pressure and further improving the resource utilization rate.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flow chart of a 5G network-based power device operation data transmission method.
Fig. 2 shows a first sub-flow block diagram of a 5G network-based power device operation data transmission method.
Fig. 3 shows a second sub-flow block diagram of the 5G network-based power device operation data transmission method.
Fig. 4 shows a third sub-flow block diagram of the 5G network-based power device operation data transmission method.
Fig. 5 shows a fourth sub-flow block diagram of the 5G network-based power device operation data transmission method.
Fig. 6 shows a fifth sub-flow block diagram of the 5G network-based power device operation data transmission method.
Fig. 7 shows a block diagram of a component structure of the 5G network-based power equipment operation data transmission system.
Fig. 8 is a block diagram showing a structure of an information table generating module in a 5G network-based power device operation data transmission system.
Fig. 9 is a block diagram showing a configuration of a diagram data transmitting module in the data transmission system based on the 5G network power equipment operation.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
Fig. 1 shows a flow chart of a 5G network-based power device operation data transmission method, in an embodiment of the present invention, the 5G network-based power device operation data transmission method includes:
step S100: determining core nodes, numbering the core nodes, and collecting input signals and output signals of the core nodes;
the core nodes are key nodes in the operation process of the power equipment, and most of the key nodes are integrated, receive input signals as a whole and then generate output signals;
step S200: inputting the input signal into a trained signal analysis model to obtain a prediction signal;
the signal analysis model is a theoretical signal transmission model consisting of the core nodes; when a core node is operating normally, it is given a certain input, and its output should also be certain and within a certain range; in summary, the power device is formed by connecting these core nodes, and when the initial input is determined, the output of each core node in the normal state, that is, the prediction signal, is easily obtained.
Step S300: generating an information table according to the serial number of the core node, the prediction signal and the output signal;
step S300 is to generate an information table, where the information table at least includes number items, and each number of the number items corresponds to a prediction signal and an output signal; it is worth mentioning that a deviation term may be added to the information table, and the deviation term is determined by the prediction signal term and the output signal term.
Step S400: and generating a data analysis chart according to the information table, and sending the data analysis chart to a master control center.
The number of core nodes of the power equipment may be very large, and the generated information table is very large, which is not easy in the transmission process, firstly, the data volume is large, and secondly, elements in each table are mutually independent and are easy to lose in the transmission process, so that the table data is converted into graph data in the step S400, and then the graph data is used as a data carrier to transmit information to a master control center; it should be noted that, no matter how much data is in the information table, the data can be converted into a data analysis graph with a fixed preset size through some preset adjustable scales.
Fig. 2 shows a first sub-flow block diagram of a 5G network-based power device operation data transmission method, where the step of determining and numbering core nodes and the step of collecting input signals and output signals of each core node include steps S101 to S103:
step S101: the method comprises the steps of obtaining the model of electric power equipment, and determining a first type of core node according to the model of the electric power equipment;
step S102: reading a maintenance record of the power equipment, and determining a second type of core node according to the maintenance record;
step S103: numbering the first type core nodes and the second type core nodes according to a preset numbering rule; and identifiers are arranged in the serial numbers of the first type core nodes and the second type core nodes.
Step S101 to step S103 provide a specific numbering scheme, and a simple classification is performed on the core nodes, and some core key points are already indicated in the factory manual of the power equipment, and the core key points are places to be monitored; in addition, in the normal operation and maintenance process, the places where problems occur are recorded, and obviously, the nodes involved in the places are likely to have problems again, which is naturally the node that the technical scheme of the present invention intends to focus on. In order to facilitate distinguishing, different identifiers are set for the two types of core nodes in the numbering process; in the simplest case, the identifier may be a prefix or a suffix, and is not limited specifically.
Fig. 3 shows a second sub-flow block diagram of the 5G network-based power device operation data transmission method, where the step of generating a data analysis diagram according to the information table and sending the data analysis diagram to the central control center includes steps S401 to S404:
step S401: taking the number of the core node as an independent variable, and taking the prediction signal as a dependent variable to generate a prediction sample point;
step S402: taking the serial number of the core node as an independent variable, and taking the output signal as a dependent variable to generate an actual sample point;
step S403: assigning values to the prediction sample points, the actual sample points and the background points according to a preset assignment rule to obtain a data analysis graph;
step S404: and carrying out numerical value conversion on the data analysis graph to obtain a data packet, and sending the data packet to a master control center.
Steps S401 to S404 provide a specific method for generating and sending a data analysis graph, where the data analysis graph is intended to represent two pairs of data: the numbering and prediction signal, the numbering and actual signal, represent the best way to pair the data is a broken line graph, so intuitively, the data analysis graph consists of two broken lines; the assignment to the different polylines and the background is "color assigned".
It is worth mentioning that, in order to facilitate transmission, a data analysis graph needs to be subjected to one-step data conversion to obtain a data packet, and the process is equivalent to a phase-change compression process; for example, the data analysis graph can be converted into gray scale, it should be noted that the gray scale is inverted into color values, and the gray scale itself has a number solution or not, but the gray scale can be inverted into color values by the implicit limitation that the color values are integers, and the gray scale can be inverted into the color values by the limitation in combination with the exhaustive method. The data analysis graph generally has only three colors, and the computational power required for the reversion process is not large.
Fig. 4 shows a third sub-flow block diagram of the 5G network-based power device operation data transmission method, where the step of generating a data analysis diagram according to the information table and sending the data analysis diagram to the central control center further includes steps S405 to S407:
step S405: reading the prediction signal and the output signal in the information table to calculate a deviation signal;
step S406: comparing the deviation signal with a preset deviation threshold value, and calculating the abnormal times;
step S407: when the abnormal times reach a preset time threshold, generating an error reporting request, and sending the error reporting request to a master control center; and generating an error report request and stopping the generation step of the data analysis chart.
For monitoring the operation data of the power equipment, the purpose is to find the problem of the power equipment in the first time, upload some data needing further analysis to a master control center for processing, and for some simple judgment, analyze the data at the power equipment end, wherein the content is a simpler condition, a deviation signal item can be generated according to an information table, and whether the operation of the equipment has the problem or not is judged based on the deviation signal item; the judgment process is not complicated, namely the simplest mathematical statistics problem, the most complicated situation is to calculate the variance for judging the discrete degree, but in most cases, the deviation signal is compared with a preset deviation threshold value.
Fig. 5 shows a fourth sub-flow block diagram of a 5G network-based power device operation data transmission method, which further includes steps S500 to S700:
step S500: acquiring image information of equipment in real time, randomly acquiring pixel points in a preset proportion in the image information, and generating a feature point set; the number of the pixel points of the characteristic point set is the total pixel number point of the image information multiplied by a preset proportion;
step S600: sequentially converting pixel points in the feature point set into feature values to obtain a feature array, and generating a mapping value based on the feature array, wherein the mapping value and the image information are in a mapping relation;
step S700: and comparing the mapping value with a preset first threshold value, generating an error reporting request when the mapping value reaches the preset threshold value, and sending the error reporting request to a master control center.
Steps S500 to S700 provide a "third party" determination process, and determine the operation state of the device through the image information, and certainly, the problems detected through the image information are all obvious problems, for example, the power device is short-circuited and flashes, and the obtained image information may be "blank and lost", in this case, the difference between the mapping value corresponding to the image information and the mapping value in the normal state is very large, and the detection is very easy.
Fig. 6 shows a fifth sub-flow diagram of a 5G network-based power device operation data transmission method, which further includes steps S800 to S1000:
step S800: acquiring air data of a working area in real time, identifying information gas in the air data, and acquiring the concentration of the information gas;
step S900: when the concentration of the information gas reaches a preset second threshold value, recording the reaching time;
step S1000: and when the time reaches a preset range, generating an error reporting request, and sending the error reporting request to the master control center.
The above is an auxiliary module, and the functions are similar, except that the error report request is generated by gas in steps S800 to S1000; for example, if a short circuit occurs and a certain section of the line is burned out, different gases in the air, i.e., the indicators occupied by the information gas, must be different, and what kind of gas and the detection method thereof depend on different designers, which is not described in detail herein.
It is worth mentioning that the determination condition of the information gas is time, generally, the duration of the burnt gas due to short circuit is in a certain range, the time is not meaningful if the time is too short or too long, the time is possibly airflow fluctuation, and the time is too long, which indicates regional gas concentration change.
Further, the error reporting request generation process belongs to the acquisition ends, communication channels exist among different acquisition ends, when one processing end is abnormal, the abnormal processing end can transmit abnormal information to other processing ends which are not abnormal, the other processing ends which are not abnormal continue to work normally, the abnormal processing end is positioned according to the abnormal information, positioning information is generated, and the positioning information is sent to the master control center.
The method is applied to a monitoring end, wherein the monitoring end comprises an acquisition end which can be hardware or software, if the monitoring end is hardware, the monitoring end can be a microprocessor cluster arranged in a power equipment working area, and the monitoring end needs to have a communication function, an image acquisition function, an air data acquisition function and the like, and if the monitoring end is software, the monitoring end can be arranged on the microprocessor cluster.
Example 2
Fig. 7 is a block diagram illustrating a configuration of a 5G network-based power device operation data transmission system, in an embodiment of the present invention, a 5G network-based power device operation data transmission system includes:
the signal acquisition module 11 is configured to determine core nodes, number the core nodes, and acquire input signals and output signals of each core node;
a prediction signal generation module 12, configured to input the input signal into a trained signal analysis model to obtain a prediction signal;
an information table generating module 13, configured to generate an information table according to the number of the core node, the prediction signal, and the output signal;
and the graph data sending module 14 is used for generating a data analysis graph according to the information table and sending the data analysis graph to the master control center.
Fig. 8 is a block diagram illustrating a structure of an information table generating module in a 5G network-based power device operation data transmission system, where the signal acquiring module 11 includes:
a first node determining unit 111, configured to obtain a model of an electrical device, and determine a first type of core node according to the model of the electrical device;
the second node determining unit 112 reads a maintenance record of the power device, and determines a second type of core node according to the maintenance record;
a numbering unit 113, configured to number the first class core node and the second class core node according to a preset numbering rule; and identifiers are arranged in the serial numbers of the first type core nodes and the second type core nodes.
Fig. 9 is a block diagram showing a configuration of a graph data transmitting module in a 5G network power device operation data transmission system, where the graph data transmitting module 14 includes:
a prediction sample determination unit 141 for generating a prediction sample point with the number of the core node as an argument and the prediction signal as a dependent variable;
an actual sample determination unit 142, which generates an actual sample point by using the number of the core node as an independent variable and the output signal as a dependent variable;
the analysis graph generating unit 143 is configured to assign values to the predicted sample points, the actual sample points, and the background points according to a preset assignment rule to obtain a data analysis graph;
and the data conversion unit 144 is configured to perform numerical value conversion on the data analysis graph to obtain a data packet, and send the data packet to a master control center.
The functions that can be realized by the above-mentioned 5G network-based power equipment operation data transmission method are all completed by a computer device, the computer device comprises one or more processors and one or more memories, and at least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to realize the 5G network-based power equipment operation data transmission method.
The processor fetches instructions and analyzes the instructions one by one from the memory, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection device is arranged outside the Memory.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
Those skilled in the art will appreciate that the above description of the service device is merely exemplary and not limiting of the terminal device, and may include more or less components than those described, or combine certain components, or different components, such as may include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth-state display system (e.g., product information acquisition templates corresponding to different product types, product information that needs to be issued by different product providers, etc.), and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may be implemented by a computer program, which may be stored in a computer readable medium and used by a processor to implement the functions of the embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A5G network-based power equipment operation data transmission method is characterized by comprising the following steps:
determining core nodes, numbering the core nodes, and collecting input signals and output signals of the core nodes;
inputting the input signal into a trained signal analysis model to obtain a prediction signal;
generating an information table according to the serial number of the core node, the prediction signal and the output signal;
and generating a data analysis chart according to the information table, and sending the data analysis chart to a master control center.
2. The 5G network-based power equipment operation data transmission method according to claim 1, wherein the step of determining and numbering the core nodes and the step of collecting input signals and output signals of each core node comprises:
the method comprises the steps of obtaining the model of electric power equipment, and determining a first type of core node according to the model of the electric power equipment;
reading a maintenance record of the power equipment, and determining a second type of core node according to the maintenance record;
numbering the first type core nodes and the second type core nodes according to a preset numbering rule; and identifiers are arranged in the serial numbers of the first type core nodes and the second type core nodes.
3. The method for transmitting the operation data of the 5G network-based power equipment according to claim 1, wherein the step of generating the data analysis graph according to the information table and sending the data analysis graph to the general control center comprises the following steps:
taking the number of the core node as an independent variable, and taking the prediction signal as a dependent variable to generate a prediction sample point;
taking the serial number of the core node as an independent variable, and taking the output signal as a dependent variable to generate an actual sample point;
assigning values to the prediction sample points, the actual sample points and the background points according to a preset assignment rule to obtain a data analysis graph;
and carrying out numerical value conversion on the data analysis graph to obtain a data packet, and sending the data packet to a master control center.
4. The method for transmitting the operation data of the 5G network-based power equipment according to claim 3, wherein the step of generating the data analysis graph according to the information table and sending the data analysis graph to the general control center further comprises the steps of:
reading the prediction signal and the output signal in the information table to calculate a deviation signal;
comparing the deviation signal with a preset deviation threshold value, and calculating the abnormal times;
when the abnormal times reach a preset time threshold, generating an error reporting request, and sending the error reporting request to a master control center; and generating an error report request and stopping the generation step of the data analysis chart.
5. The 5G network-based power equipment operation data transmission method according to claim 1, further comprising:
acquiring image information of equipment in real time, randomly acquiring pixel points in a preset proportion in the image information, and generating a feature point set; the number of the pixel points of the characteristic point set is the total pixel number point of the image information multiplied by a preset proportion;
sequentially converting pixel points in the feature point set into feature values to obtain a feature array, and generating a mapping value based on the feature array, wherein the mapping value and the image information are in a mapping relation;
and comparing the mapping value with a preset first threshold value, generating an error reporting request when the mapping value reaches the preset threshold value, and sending the error reporting request to a master control center.
6. The 5G network-based power device operation data transmission method according to claim 5, further comprising:
acquiring air data of a working area in real time, identifying information gas in the air data, and acquiring the concentration of the information gas;
when the concentration of the information gas reaches a preset second threshold value, recording the reaching time;
and when the time reaches a preset range, generating an error reporting request, and sending the error reporting request to the master control center.
7. The 5G network-based power equipment operation data transmission method according to claim 6, wherein the error report request generation process belongs to acquisition ends, different acquisition ends have communication channels with each other, when one of the processing ends is abnormal, the abnormal processing end transmits abnormal information to other processing ends which are not abnormal, the other processing ends which are not abnormal continue to work normally, the abnormal processing end is positioned according to the abnormal information, positioning information is generated, and the positioning information is sent to a master control center.
8. A5G network-based power equipment operation data transmission system is characterized by comprising:
the signal acquisition module is used for determining core nodes, numbering the core nodes and acquiring input signals and output signals of the core nodes;
the prediction signal generation module is used for inputting the input signal into a trained signal analysis model to obtain a prediction signal;
an information table generating module, configured to generate an information table according to the number of the core node, the prediction signal, and the output signal;
and the graph data sending module is used for generating a data analysis graph according to the information table and sending the data analysis graph to a master control center.
9. The 5G network-based power equipment operation data transmission system according to claim 8, wherein the signal acquisition module comprises:
the first node determining unit is used for acquiring the model of the electric power equipment and determining a first type of core node according to the model of the electric power equipment;
the second node determining unit is used for reading the maintenance record of the power equipment and determining a second type of core node according to the maintenance record;
the numbering unit is used for numbering the first type core nodes and the second type core nodes according to a preset numbering rule; and identifiers are arranged in the serial numbers of the first type core nodes and the second type core nodes.
10. The 5G network power equipment-based operation data transmission system according to claim 8, wherein the graph data transmission module includes:
a prediction sample determination unit for generating a prediction sample point with the number of the core node as an argument and the prediction signal as a dependent variable;
the actual sample determining unit generates an actual sample point by taking the serial number of the core node as an independent variable and the output signal as a dependent variable;
the analysis graph generating unit is used for assigning the prediction sample points, the actual sample points and the background points according to a preset assignment rule to obtain a data analysis graph;
and the data conversion unit is used for carrying out numerical value conversion on the data analysis graph to obtain a data packet, and sending the data packet to a master control center.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111364125.9A CN114115008A (en) | 2021-11-17 | 2021-11-17 | 5G network-based power equipment operation data transmission method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111364125.9A CN114115008A (en) | 2021-11-17 | 2021-11-17 | 5G network-based power equipment operation data transmission method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114115008A true CN114115008A (en) | 2022-03-01 |
Family
ID=80396332
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111364125.9A Pending CN114115008A (en) | 2021-11-17 | 2021-11-17 | 5G network-based power equipment operation data transmission method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114115008A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114911833A (en) * | 2022-06-02 | 2022-08-16 | 青岛华正信息技术股份有限公司 | Industrial internet platform monitoring data transmission and exchange method and system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105897925A (en) * | 2016-05-31 | 2016-08-24 | 成都九十度工业产品设计有限公司 | Mobile remote electric power monitoring system based on 4G network and monitoring method |
| CN106603730A (en) * | 2017-02-28 | 2017-04-26 | 郑州云海信息技术有限公司 | Real-time monitoring method used for cloud platform and apparatus thereof |
| CN110175756A (en) * | 2019-05-07 | 2019-08-27 | 岭澳核电有限公司 | Nuclear power station information system operational safety method for early warning, device, equipment and medium |
| CN110275455A (en) * | 2018-03-14 | 2019-09-24 | 佛山市顺德区美的电热电器制造有限公司 | A kind of control method based on EEG signals, central control equipment, Cloud Server and system |
| CN110489732A (en) * | 2019-07-23 | 2019-11-22 | 中国平安人寿保险股份有限公司 | Method for processing report data and equipment |
| CN113419226A (en) * | 2021-08-24 | 2021-09-21 | 四川锦美环保股份有限公司 | Radar troubleshooting system |
| CN113419298A (en) * | 2021-08-24 | 2021-09-21 | 中国水利水电科学研究院 | Multi-parameter hydrological meteorological data acquisition device |
| CN113643746A (en) * | 2021-07-02 | 2021-11-12 | 深圳市宏旺微电子有限公司 | Flash memory data analysis method and device, terminal equipment and storage medium |
| CN113659722A (en) * | 2021-08-19 | 2021-11-16 | 国网福建省电力有限公司 | Multifunctional network system of 5G power network and management method thereof |
-
2021
- 2021-11-17 CN CN202111364125.9A patent/CN114115008A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105897925A (en) * | 2016-05-31 | 2016-08-24 | 成都九十度工业产品设计有限公司 | Mobile remote electric power monitoring system based on 4G network and monitoring method |
| CN106603730A (en) * | 2017-02-28 | 2017-04-26 | 郑州云海信息技术有限公司 | Real-time monitoring method used for cloud platform and apparatus thereof |
| CN110275455A (en) * | 2018-03-14 | 2019-09-24 | 佛山市顺德区美的电热电器制造有限公司 | A kind of control method based on EEG signals, central control equipment, Cloud Server and system |
| CN110175756A (en) * | 2019-05-07 | 2019-08-27 | 岭澳核电有限公司 | Nuclear power station information system operational safety method for early warning, device, equipment and medium |
| CN110489732A (en) * | 2019-07-23 | 2019-11-22 | 中国平安人寿保险股份有限公司 | Method for processing report data and equipment |
| CN113643746A (en) * | 2021-07-02 | 2021-11-12 | 深圳市宏旺微电子有限公司 | Flash memory data analysis method and device, terminal equipment and storage medium |
| CN113659722A (en) * | 2021-08-19 | 2021-11-16 | 国网福建省电力有限公司 | Multifunctional network system of 5G power network and management method thereof |
| CN113419226A (en) * | 2021-08-24 | 2021-09-21 | 四川锦美环保股份有限公司 | Radar troubleshooting system |
| CN113419298A (en) * | 2021-08-24 | 2021-09-21 | 中国水利水电科学研究院 | Multi-parameter hydrological meteorological data acquisition device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114911833A (en) * | 2022-06-02 | 2022-08-16 | 青岛华正信息技术股份有限公司 | Industrial internet platform monitoring data transmission and exchange method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112235326B (en) | Internet of things equipment data analysis method and device and electronic equipment | |
| CN111083225B (en) | Data processing method and device in Internet of things platform and Internet of things platform | |
| CN111563368A (en) | Report generation method and device, computer equipment and storage medium | |
| CN111240688B (en) | excel file analysis method and device, computer equipment and storage medium | |
| CN111290916A (en) | Big data monitoring method, device and equipment and computer readable storage medium | |
| CN114338752B (en) | Intelligent docking system and method for third-party Internet of things platform equipment | |
| CN114414935A (en) | Automatic positioning method and system for feeder fault area of power distribution network based on big data | |
| CN110912782B (en) | Data acquisition method, device and storage medium | |
| CN111061678B (en) | Service data processing method, device, computer equipment and storage medium | |
| CN110995639A (en) | Data transmission method | |
| CN114115008A (en) | 5G network-based power equipment operation data transmission method and system | |
| CN115549313A (en) | Electricity utilization monitoring method and system based on artificial intelligence | |
| CN111385379A (en) | Internet of things identification method and device for eSIM terminal | |
| CN113032358B (en) | Water affair data processing method and device and terminal equipment | |
| CN117675913A (en) | Laboratory data transmission processing method, device, transmission processing system and medium | |
| JP2016024486A (en) | Data utilization system and control method therefor | |
| CN116208465A (en) | Intelligent monitoring and early warning method and system for electric power information communication condition | |
| CN115086343B (en) | Internet of things data interaction method and system based on artificial intelligence | |
| CN116542558A (en) | Service index calculation method, device, computer equipment and storage medium | |
| CN114580674A (en) | Method for processing equipment operation information and electronic equipment | |
| CN114422873B (en) | Method, device and equipment for dynamically accessing industrial Internet identification analysis platform | |
| CN113127327B (en) | Test method and device for performance test | |
| CN114265750A (en) | Monitoring index acquisition method and device, electronic equipment and storage medium | |
| CN115473343B (en) | Intelligent gateway multi-master-station parallel access test method | |
| CN111475505A (en) | Data acquisition method and equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |