CN114039819B - Edge intelligent gateway based on 5G - Google Patents
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Abstract
The invention discloses a 5G-based edge intelligent gateway, which relates to the technical field of edge gateways and comprises an FPGA (field programmable gate array) main control module and a protocol conversion module; the protocol conversion module is used for carrying out protocol conversion on data packaged by the LoRa radio frequency module, the 485 communication module and the vibrating wire module, converting the data into a data protocol with a uniform fixed format, and realizing the simultaneous acquisition of data of the multi-channel sensors with different interfaces; the FPGA main control module is used for controlling the data processing and analyzing module to perform algorithm analysis and processing on the converted data protocol, so that the relevance analysis of sensor data with different interfaces and types is realized, and a reference basis is provided for the subsequent data early warning; the FPGA main control is also used for verifying the communication state of the edge gateway and the server in real time, and the data processing and analyzing module is also used for monitoring the power utilization information of the edge gateway in real time and analyzing the power utilization information, judging whether the power utilization of the edge gateway is normal or not, prompting a user to carry out maintenance in time and improving the working efficiency.
Description
Technical Field
The invention relates to the technical field of edge gateways, in particular to an edge intelligent gateway based on 5G.
Background
The current inspection and detection industry has the limitation of problems of data independence, dispersion, closure and the like, so that the development of the industry internet is difficult to merge; the detection equipment or the sensor has many transmission protocols and poor compatibility, communication interfaces are different, the resolving capability of a third party is weak, various data are easy to generate abnormal values or faults, so that the integration cannot be realized, the interconnection and intercommunication are difficult, the comprehensive perception and the interconnection and intercommunication of the detection data are hindered, and a tool for data access of heterogeneous equipment is urgently developed;
on the other hand, "large data volume and small information volume" are outstanding problems in the application direction of industrial large data in the current inspection and detection industry, the industrial data volume is increased explosively, and the requirements on bandwidth and time delay are not met by the traditional cloud computing system; a large amount of data is uploaded to a server side for processing, and then a result is returned to equipment, so that the response time delay of the large closed loop data is high, the data at the equipment side cannot be processed in time, and the influence of network congestion on the large closed loop data is large; therefore, an edge computing key technology capable of processing data at the edge of the network and quickly making a response is urgently needed to be researched, research and development of key edge equipment are formed aiming at mining and application means of data hiding value, and a production-oriented intelligent optimization management and control function is realized; for this purpose, we propose a 5G-based edge intelligent gateway.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a 5G-based edge intelligent gateway.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides a 5G-based edge intelligent gateway, including an FPGA main control, a data processing and analyzing module, a protocol conversion module, a GPS module, and a power supply;
the protocol conversion module is used for carrying out protocol conversion on data packaged by the LoRa radio frequency module, the 485 communication module and the vibrating wire module, and converting the data into a data protocol with a unified fixed format;
the FPGA main control is in control connection with the protocol conversion module and is used for acquiring a data protocol converted by the protocol conversion module, performing algorithm analysis and processing on the converted data protocol through the data processing and analyzing module, and transmitting the analyzed and processed data to the server through the 5G communication module; the server is used for analyzing the received data through a self-written model algorithm input by the user side and providing a data early warning notice for the user;
the FPGA main control is also used for verifying the communication state between the edge gateway and the server in real time and judging whether the communication between the edge gateway and the server is normal or not according to the communication offset value TP; the data processing and analyzing module is further used for monitoring and analyzing the electricity consumption information of the edge gateway in real time, judging whether the electricity consumption of the edge gateway is normal or not according to the electricity quantity abnormality coefficient WT, and the GPS module is used for positioning the geographical position information of the edge gateway in real time.
Further, the specific process of verifying the communication state between the edge gateway and the server in real time by the FPGA master control is as follows:
the FPGA main control sends a verification configuration message to a server according to a preset verification period, wherein the verification configuration message comprises a first signal quality threshold; in response to receiving the verification configuration message sent by the FPGA main control, the server sends a second synchronization signal to the FPGA main control;
responding to the second synchronous signal, determining the signal quality of the second synchronous signal by the FPGA main control, comparing the signal quality of the second synchronous signal with the first signal quality threshold to obtain a corresponding quality difference value Z1, and calculating the time difference between the moment when the FPGA main control sends the verification configuration message and the moment when the FPGA main control monitors the second synchronous signal again to obtain a response time XT; calculating a communication coefficient TX by using a formula TX =1/(Z1 × a1+ XT × a 2), wherein a1 and a2 are coefficient factors;
comparing the communication coefficient TX with a preset communication threshold value, and evaluating a communication offset value TP; if the TP is larger than a preset communication deviation value threshold, judging that the communication between the edge gateway and the server is abnormal, and generating a communication abnormal signal; the FPGA main control is used for sending the communication abnormal signal to the mobile phone terminal of the user.
Further, the evaluation process of the communication bias TP is as follows:
if the communication coefficient TX is smaller than the preset communication threshold, automatically counting down, wherein the counting down time length is T2 time, continuously monitoring the communication coefficient TX in the counting down stage, if the condition that the TX is smaller than the preset communication threshold is monitored again, automatically returning the counting down to an original value, and counting down again; otherwise, the countdown returns to zero, and the timing is stopped;
counting the number of times that the TX is smaller than a preset communication threshold value in a countdown phase to be C1, when the TX is smaller than the preset communication threshold value, calculating the difference between the TX and the preset communication threshold value, and summing all the differences to obtain a difference threshold total value CT; counting the duration of the countdown period as T1; the communication offset value TP is calculated by using the formula TP = (C1 × b1+ CT × b2)/(T1 × b3), where b1, b2, and b3 are coefficient factors.
Further, the power supply is used for providing power for the whole edge gateway circuit, wherein the lorawan protocol is directly processed and analyzed by the FPGA main control.
Further, the loRa radio frequency module is used for completing acquisition of the loRa data of the nodes and performing data encapsulation processing on the acquired data; the 485 communication module is used for completing the acquisition of 485 protocol sensor data and carrying out data encapsulation processing on the acquired data; the vibrating wire module is used for completing the acquisition of the vibrating wire sensor data and packaging the acquired data.
Further, the specific analysis steps of the data processing and analyzing module are as follows:
when the edge gateway is electrified, acquiring real-time electricity utilization information of the edge gateway, wherein the electricity utilization information is expressed as unit electricity consumption of the edge gateway; establishing a curve graph of unit electricity consumption changing along with time;
counting the time length required by the unit electricity consumption to reach a preset electricity threshold D1 in the electrifying process as an electricity limit time length DT; calculating to obtain a time length deviation value P1 by combining the historical electricity utilization information of the edge gateway; if the P1 is greater than the preset bias value threshold, the state is to be verified;
when the power consumption monitoring system is in a to-be-verified state, comparing the real-time power consumption information with a preset power consumption threshold value D1, and evaluating a power consumption abnormity coefficient WT; if WT is larger than a preset abnormal coefficient threshold value, generating an electricity utilization abnormal signal; and the data processing and analyzing module is used for sending the electricity utilization abnormal signal to a mobile phone terminal of a user.
Further, the calculation method of the duration deviation value P1 is as follows:
acquiring historical power utilization information of the edge gateway, and marking the limit duration of the historical power of each power on as DLm, wherein m =1, …, n; using formulas
And calculating to obtain a duration deviation value P1, wherein a3 is a compensation coefficient and takes the value of 0.358965.
Further, the specific evaluation procedure of the anomaly coefficient WT is as follows:
if the real-time power utilization information is larger than or equal to a preset power threshold D1, intercepting a corresponding curve segment in a corresponding curve graph, marking the curve segment as red and marking as a power abnormal curve segment;
counting the number of the power abnormal curve segments to be W1, integrating all the power abnormal curve segments with time to obtain power abnormal energy E1, and calculating a power abnormal coefficient WT of the edge gateway by using a formula WT = W1 × a4+ E1 × a5, wherein a4 and a5 are coefficient factors.
Compared with the prior art, the invention has the beneficial effects that:
1. the protocol conversion module is used for carrying out protocol conversion on data packaged by the LoRa radio frequency module, the 485 communication module and the vibrating wire module, and converting the data into a data protocol with a uniform fixed format, so that the data of the sensors with different multi-channel interfaces are acquired in parallel, and the real-time performance and the timeliness of the edge gateway are improved; the FPGA main control carries out algorithm analysis and processing on the converted data protocol through the data processing and analyzing module, realizes correlation analysis of sensor data with different interfaces and types, and provides a reference basis for subsequent data processing, analysis and early warning; the server is used for analyzing the received data through a self-written model algorithm input by the user side and providing a data early warning notice for the user;
2. the FPGA main control is also used for verifying the communication state between the edge gateway and the server in real time, firstly, the FPGA main control sends a verification configuration message to the server according to a preset verification period, and in response to receiving the verification configuration message sent by the FPGA main control, the server sends a second synchronization signal to the FPGA main control; calculating to obtain a communication coefficient TX by combining the quality difference Z1 and the response time length XT; comparing the communication coefficient TX with a preset communication threshold value, obtaining a communication offset value TP through correlation processing, and if the TP is larger than the preset communication offset value threshold value, judging that the communication between the edge gateway and the server is abnormal, and generating a communication abnormal signal; prompting a user that the communication state between the current edge gateway and the server is not good, and suggesting timely processing, so that monitoring and early warning of data are prevented from being influenced, and data transmission efficiency is improved;
3. the data processing and analyzing module is also used for monitoring and analyzing the electricity utilization information of the edge gateway in real time, and counting the time required by the unit electricity consumption reaching a preset electricity threshold D1 in the electrifying process as the electricity limit time DT; calculating to obtain a time length bias value P1 by combining the historical electric quantity limit time length of the edge gateway, and if P1 is greater than a preset bias value threshold, the edge gateway is in a to-be-verified state; comparing the real-time power utilization information with a preset power quantity threshold value D1, calculating to obtain a power quantity abnormal coefficient WT of the edge gateway, and if the WT is larger than the preset abnormal coefficient threshold value, generating a power utilization abnormal signal; the current marginal gateway power consumption of suggestion user is unusual, and the suggestion is in time maintained, improves power consumption safety, reduces the recessive consumption of electric energy to extension marginal gateway life-span, improvement work efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of a 5G-based edge intelligent gateway according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
As shown in fig. 1, a 5G-based edge intelligent gateway includes an FPGA master control, a 5G communication module, a data processing and analyzing module, a protocol conversion module, a LoRa radio frequency module, a GPS module, a 485 communication module, a vibrating wire module, and a power supply;
example 1
The user side transmits a self-written model algorithm to the server through a computer, the power supply is used for providing power for the whole edge gateway circuit, and the lorawan protocol is directly processed and analyzed by the FPGA main control;
the LoRa radio frequency module is used for completing acquisition of node LoRa data, performing data encapsulation processing on the acquired data, performing protocol conversion on the encapsulated data through the protocol conversion module, and converting the encapsulated data into a data protocol with a uniform fixed format; the 485 communication module is used for completing the acquisition of 485 protocol sensor data, packaging the acquired data, and performing protocol conversion on the packaged data through the protocol conversion module to convert the packaged data into a data protocol with a uniform fixed format; the vibrating wire module is used for completing the acquisition of vibrating wire sensor data, packaging the acquired data, and performing protocol conversion on the packaged data through the protocol conversion module to convert the packaged data into a data protocol with a uniform fixed format;
in the embodiment, the multi-channel simultaneous acquisition of the sensor data of different interfaces is realized, the real-time performance and the timeliness of the edge gateway are improved, meanwhile, the data correlation analysis is carried out on the sensors of different interfaces and types, and a reference basis is provided for the subsequent data processing analysis early warning;
the FPGA main control is in control connection with the protocol conversion module and is used for acquiring a data protocol converted by the protocol conversion module, performing algorithm analysis and processing on the converted data protocol through the data processing and analyzing module, and transmitting the analyzed and processed data to the server through the 5G communication module; the algorithm analysis and processing are shown as removing obvious wrong and missing data;
the server is used for analyzing the received data through a self-written model algorithm input by the user side, judging whether the corresponding data is abnormal or not and providing a data early warning notice for the user; the GPS module is used for positioning the geographical position information of the edge gateway in real time so as to be known by a user; the model algorithm is written by a user, comprises the safety range of various data and is used for judging whether the data are abnormal or not; the safety range is preset by a user;
example 2
In this embodiment, the FPGA master is further configured to verify a communication state between the edge gateway and the server in real time, where the verifying specifically includes:
the FPGA main control sends a verification configuration message to a server according to a preset verification period, wherein the verification configuration message comprises a first signal quality threshold; in response to receiving the verification configuration message sent by the FPGA main control, the server sends a second synchronization signal to the FPGA main control;
responding to the second synchronous signal monitored, and determining the signal quality of the second synchronous signal by the FPGA main control; comparing the signal quality of the second synchronization signal with the first signal quality threshold to obtain a corresponding quality difference value Z1, wherein it should be understood by those skilled in the art that any metric known in the art can be used to characterize the signal quality, such as RSRQ, RSRP, RSSI, etc.; the quality difference can reflect the attenuation of the signal in the transmission process;
calculating the time difference between the moment when the FPGA main control sends the verification configuration message and the moment when the FPGA main control monitors the second synchronous signal again to obtain a response time XT; calculating a communication coefficient TX by using a formula TX =1/(Z1 × a1+ XT × a 2), wherein a1 and a2 are coefficient factors;
comparing the communication coefficient TX with a preset communication threshold, and if the communication coefficient TX is smaller than the preset communication threshold, automatically counting down, wherein the counting down time length is T2 time, and T2 is a preset value; continuing to monitor the communication coefficient TX in the countdown stage, if the TX is monitored to be smaller than the preset communication threshold value again, automatically returning countdown to an original value, and counting down again according to T2; otherwise, the countdown returns to zero, and the timing is stopped;
counting the number of times that the TX is smaller than a preset communication threshold value in a countdown phase to be C1, when the TX is smaller than the preset communication threshold value, calculating the difference between the TX and the preset communication threshold value, and summing all the differences to obtain a difference threshold total value CT; counting the duration of the countdown period as T1;
calculating a communication offset value TP by using a formula TP = (C1 × b1+ CT × b2)/(T1 × b3), wherein b1, b2 and b3 are coefficient factors;
comparing the communication offset value TP with a preset communication offset value threshold, if the TP is larger than the preset communication offset value threshold, judging that the communication between the edge gateway and the server is abnormal, and generating a communication abnormal signal; the FPGA main control is used for sending a communication abnormal signal to a mobile phone terminal of a user, prompting that the current edge gateway of the user is poor in communication state with a server, suggesting timely processing, avoiding influencing monitoring and early warning of data and improving data transmission efficiency;
example 3
In this embodiment, the data processing and analyzing module is further configured to monitor and analyze power consumption information of the edge gateway in real time, where the power consumption information is represented as unit power consumption of the edge gateway; the specific analysis steps are as follows:
when the edge gateway is electrified, acquiring real-time electricity utilization information of the edge gateway, establishing a curve graph of unit electricity utilization quantity changing along with time, and counting the time length required by the unit electricity utilization quantity reaching a preset electricity threshold D1 in the electrifying process as an electricity quantity limit time length DT; wherein D1 is a preset value;
acquiring historical power utilization information of the edge gateway, and marking the limit duration of the historical power of each power on as DLm, wherein m =1, …, n; using formulas
Calculating to obtain a duration deviation value P1, wherein a3 is a compensation coefficient and takes a value of 0.358965;
comparing the duration bias value P1 with a preset bias value threshold, and if P1 is greater than the preset bias value threshold, determining that the state is to be verified;
when the power consumption information is in a to-be-verified state, comparing the real-time power consumption information with a preset power consumption threshold D1, if the real-time power consumption information is larger than or equal to the preset power consumption threshold D1, intercepting a corresponding curve segment from a corresponding curve graph, marking the curve segment as red, and marking the curve segment as a power consumption abnormal curve segment;
counting the number of the power abnormal curve segments to be W1, integrating all the power abnormal curve segments with time to obtain power abnormal energy E1, and calculating a power abnormal coefficient WT of the edge gateway by using a formula WT = W1 × a4+ E1 × a5, wherein a4 and a5 are coefficient factors;
comparing the power consumption abnormality coefficient WT with a preset abnormality coefficient threshold, and if the WT is larger than the preset abnormality coefficient threshold, generating a power consumption abnormality signal;
the data processing and analyzing module is used for sending the electricity utilization abnormal signals to the mobile phone terminal of the user, prompting the current electricity utilization abnormity of the edge gateway of the user, suggesting timely maintenance, improving electricity utilization safety, reducing the hidden consumption of electric energy, prolonging the service life of the edge gateway and improving the working efficiency.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
The working principle of the invention is as follows:
A5G-based edge intelligent gateway is characterized in that when the gateway works, a user side transmits a self-written model algorithm to a server through a computer, wherein a lorawan protocol is directly processed and analyzed by an FPGA (field programmable gate array) master control, a LoRa radio frequency module is used for completing acquisition of LoRa data of nodes, a 485 communication module is used for completing acquisition of 485 protocol sensor data, and a vibrating wire module is used for completing acquisition of vibrating wire sensor data; the protocol conversion module is used for carrying out protocol conversion on the packaged data and converting the packaged data into a data protocol with a uniform fixed format, the FPGA main control module is used for acquiring the data protocol converted by the protocol conversion module, the data processing and analyzing module is used for carrying out algorithm analysis and processing on the converted data protocol and transmitting the analyzed and processed data to the server through the 5G communication module, and the server is used for analyzing the received data through a self-written model algorithm input by the user side and providing a data early warning notice for the user;
the FPGA main control is also used for verifying the communication state between the edge gateway and the server in real time, firstly, the FPGA main control sends a verification configuration message to the server according to a preset verification period, and the server sends a second synchronization signal to the FPGA main control in response to receiving the verification configuration message sent by the FPGA main control; comparing the signal quality of the second synchronous signal with a first signal quality threshold by an FPGA (field programmable gate array) main control to obtain a corresponding quality difference value Z1, calculating to obtain a communication coefficient TX by combining with a response time XT, comparing the communication coefficient TX with a preset communication threshold, obtaining a communication offset value TP through related processing, and if the TP is greater than the preset communication offset value threshold, judging that the communication between the edge gateway and the server is abnormal to generate a communication abnormal signal; prompting a user that the communication state between the current edge gateway and the server is not good, and suggesting timely processing, so that monitoring and early warning of data are prevented from being influenced, and data transmission efficiency is improved;
the data processing and analyzing module is also used for monitoring and analyzing the electricity utilization information of the edge gateway in real time, and counting the time length required by the unit electricity consumption reaching a preset electricity threshold D1 in the electrifying process as the electricity limit time length DT; calculating to obtain a time length bias value P1 by combining the historical electric quantity limit time length of the edge gateway, and if P1 is greater than a preset bias value threshold, the edge gateway is in a to-be-verified state; comparing the real-time power utilization information with a preset power quantity threshold value D1, calculating to obtain a power quantity abnormal coefficient WT of the edge gateway, and if the WT is larger than the preset abnormal coefficient threshold value, generating a power utilization abnormal signal; the current marginal gateway power consumption of suggestion user is unusual, and the suggestion is in time maintained, improves power consumption safety, reduces the recessive consumption of electric energy to extension marginal gateway life-span, improvement work efficiency.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (3)
1. The edge intelligent gateway based on 5G is characterized by comprising an FPGA main control module, a data processing and analyzing module, a protocol conversion module, a GPS module and a power supply;
the protocol conversion module is used for carrying out protocol conversion on data packaged by the LoRa radio frequency module, the 485 communication module and the vibrating wire module, and converting the data into a data protocol with a unified fixed format;
the FPGA main control is in control connection with the protocol conversion module and is used for acquiring a data protocol converted by the protocol conversion module, performing algorithm analysis and processing on the converted data protocol through the data processing and analyzing module, and transmitting the analyzed and processed data to the server through the 5G communication module; the algorithm analysis and processing are shown as removing obvious wrong and missing data;
the server is used for analyzing the received data through a self-written model algorithm input by the user side, judging whether the corresponding data is abnormal or not and providing a data early warning notice for the user; the model algorithm comprises a safety range of various types of data, and the safety range is preset by a user;
the FPGA main control is also used for verifying the communication state between the edge gateway and the server in real time and judging whether the communication between the edge gateway and the server is normal or not according to the communication offset value TP; the specific process is as follows:
the FPGA main control sends a verification configuration message to a server according to a preset verification period, wherein the verification configuration message comprises a first signal quality threshold; in response to receiving the verification configuration message sent by the FPGA main control, the server sends a second synchronization signal to the FPGA main control;
responding to the second synchronous signal, determining the signal quality of the second synchronous signal by the FPGA main control, comparing the signal quality of the second synchronous signal with the first signal quality threshold to obtain a corresponding quality difference value Z1, and calculating the time difference between the moment when the FPGA main control sends the verification configuration message and the moment when the FPGA main control monitors the second synchronous signal again to obtain a response time XT; calculating a communication coefficient TX by using a formula TX =1/(Z1 × a1+ XT × a 2), wherein a1 and a2 are coefficient factors;
comparing the communication coefficient TX with a preset communication threshold value, and evaluating a communication offset value TP; the specific evaluation procedure is as follows:
if TX is smaller than a preset communication threshold value, automatically counting down, wherein the counting down time length is T2 time, continuously monitoring the communication coefficient TX in the counting down stage, if TX is monitored to be smaller than the preset communication threshold value again, automatically returning the counting down to an original value, and counting down again; otherwise, the countdown returns to zero, and the timing is stopped;
counting the number of times that the TX is smaller than a preset communication threshold value in a countdown phase to be C1, and summing the difference value of the TX and the preset communication threshold value to obtain a difference threshold total value CT when the TX is smaller than the preset communication threshold value; counting the duration of the countdown period as T1; calculating a communication offset value TP by using a formula TP = (C1 × b1+ CT × b2)/(T1 × b3), wherein b1, b2 and b3 are coefficient factors;
if the TP is larger than a preset communication deviation value threshold, judging that the communication between the edge gateway and the server is abnormal, and generating a communication abnormal signal; the FPGA main control is used for sending a communication abnormal signal to a mobile phone terminal of a user;
the data processing and analyzing module is also used for monitoring and analyzing the electricity utilization information of the edge gateway in real time and judging whether the electricity utilization of the edge gateway is normal or not according to the electricity quantity abnormity coefficient WT; the specific analysis steps are as follows:
when the edge gateway is electrified, acquiring real-time electricity utilization information of the edge gateway, wherein the electricity utilization information is expressed as unit electricity consumption of the edge gateway; establishing a curve graph of unit electricity consumption changing along with time;
counting the time length required by the unit electricity consumption to reach a preset electricity threshold D1 in the electrifying process as an electricity limit time length DT; calculating to obtain a time length deviation value P1 by combining historical electricity utilization information of the edge gateway, wherein the specific calculation method comprises the following steps:
acquiring historical power utilization information of the edge gateway, and marking the limit duration of the historical power of each power on as DLm, wherein m =1, …, n; using formulas
Calculating to obtain a duration deviation value P1, wherein a3 is a compensation coefficient;
if the P1 is greater than the preset bias value threshold, the state is to be verified;
when the power consumption monitoring system is in a to-be-verified state, comparing the real-time power consumption information with a preset power consumption threshold value D1, and evaluating a power consumption abnormity coefficient WT; the specific evaluation procedure is as follows:
if the real-time power utilization information is larger than or equal to a preset power threshold D1, intercepting a corresponding curve segment in a corresponding curve graph, marking the curve segment as red and marking as a power abnormal curve segment;
counting the number of the power abnormal curve segments to be W1, integrating all the power abnormal curve segments with time to obtain power abnormal energy E1, and calculating a power abnormal coefficient WT of the edge gateway by using a formula WT = W1 × a4+ E1 × a5, wherein a4 and a5 are coefficient factors;
if WT is larger than a preset abnormal coefficient threshold value, generating an electricity utilization abnormal signal; the data processing and analyzing module is used for sending the electricity utilization abnormal signal to a mobile phone terminal of a user;
and the GPS module is used for positioning the geographical position information of the edge gateway in real time.
2. The edge intelligent gateway based on 5G according to claim 1, wherein the power supply is used for providing power supply for the whole edge gateway circuit, and the lorawan protocol is directly processed and analyzed by FPGA main control.
3. The edge intelligent gateway based on 5G according to claim 1, wherein the LoRa radio frequency module is used for completing the collection of the LoRa data of the nodes and performing data encapsulation processing on the collected data; the 485 communication module is used for completing the acquisition of 485 protocol sensor data and carrying out data encapsulation processing on the acquired data; the vibrating wire module is used for completing the acquisition of the vibrating wire sensor data and packaging the acquired data.
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| CN115102747B (en) * | 2022-06-17 | 2024-03-29 | 中铁水利信息科技有限公司 | Internet management platform based on digital twinning |
| CN115639801A (en) * | 2022-10-10 | 2023-01-24 | 合肥合锻智能制造股份有限公司 | Fault diagnosis and analysis decision platform based on multiple intelligent agents |
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