CN116404755A - Big data processing system and method based on Internet of things - Google Patents
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
- H02J13/00026—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission involving a local wireless network, e.g. Wi-Fi, ZigBee or Bluetooth
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00028—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses a big data processing system and method based on the Internet of things, and belongs to the technical field of computer big data processing. The system comprises a data acquisition module, a data processing module, a data monitoring module and an alarm management module; the output end of the data acquisition module is connected with the input end of the data processing module; the output end of the data processing module is connected with the input end of the data monitoring module; the output end of the data monitoring module is connected with the input end of the data analysis module; the invention also provides a method for implementing the system, which can effectively realize the green sustainable development of the power-assisted energy source, wherein the power-assisted energy source is used for monitoring and managing the power consumption.
Description
Technical Field
The invention relates to the technical field of big data processing of computers, in particular to a big data processing system and method based on the Internet of things.
Background
The internet of things (InternetofThings, ioT) is a technology for exchanging and communicating information by transmitting device data to a network through an information sensing device according to a agreed protocol. Big data technology is a new generation of architecture and technology designed to more economically obtain value from high frequency, large capacity, different structures and types of data.
In the prior art, the electricity consumption data is generally connected with a computer through an ammeter to carry out data detection and transmission, so that efficient data transmission is realized, and the auxiliary green sustainable development is realized. However, the electricity consumption data is unstable and has a temporary overload phenomenon, and if the overload is judged to be abnormal in electricity consumption every time, the alarm information is pushed, so that confusion of on-site workers can be caused, and the manpower and material resources are wasted.
Disclosure of Invention
The invention aims to provide a big data processing system and method based on the Internet of things, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the big data processing system based on the Internet of things comprises a data acquisition module, a data processing module, a data monitoring module and an alarm management module;
the data acquisition module acquires electricity data through the intelligent ammeter, transmits the electricity data to a computer network according to a communication protocol, and outputs the electricity data, and the output end of the data acquisition module is connected with the input end of the data processing module;
the intelligent ammeter is added with a wireless WIFI or Bluetooth communication function, and is connected with an outdoor wireless network card to be connected with a computer network on the basis of the outdoor wireless network card equipment. In a computer network, data messages are transmitted in an encrypted mode according to IEC104 protocols, so that the safety of data message transmission is improved.
The data processing module is used for receiving the power consumption data, processing the power consumption data according to a communication protocol and outputting processed data, and the output end of the data processing module is connected with the input end of the data monitoring module;
and the gateway receives the data message, and analyzes the data message according to the IEC104 protocol, so that the accuracy of data message analysis is ensured.
The data monitoring module is used for receiving the processing data, monitoring and analyzing the processing data and outputting analysis data, and the output end of the data monitoring module is connected with the input end of the alarm management module;
and visually displaying the analysis data in a line graph, a column graph and the like according to the time dimension through a large screen display system.
The alarm management module is used for receiving the analysis data, pushing alarm information and dispatching work order maintenance according to the analysis data.
The warning information is pushed in a short message or WeChat public number mode, and the user is timely reminded of abnormal conditions.
And the work order is transferred in a mode of WeChat public numbers or a computer cloud platform and the like, so that the work order state is intuitively displayed.
The data acquisition module comprises a data acquisition unit and a data transmission unit;
the data acquisition unit is used for acquiring electricity utilization data and outputting the electricity utilization data, and the output end of the data acquisition unit is connected with the input end of the data transmission unit;
the data transmission unit is used for receiving the electricity consumption data output by the data acquisition unit, transmitting the electricity consumption data according to a communication protocol, and outputting transmission data, and the output end of the data transmission unit is connected with the input end of the data processing module.
The data processing module comprises a data receiving unit and a data processing unit;
the data receiving unit is used for receiving the transmission data of the data transmission unit and outputting the received data, and the output end of the data receiving unit is connected with the input end of the data processing unit;
the data processing unit is used for receiving the received data output by the data receiving unit, processing the received data according to a communication protocol and outputting processed data, and the output end of the data processing unit is connected with the input end of the data monitoring module.
The data monitoring module comprises a data monitoring unit and a data analysis unit;
the data monitoring unit is used for receiving the processing data output by the data processing unit and outputting monitoring data, and the output end of the data monitoring unit is connected with the input end of the data analysis unit;
the data analysis unit is used for receiving the monitoring data output by the data monitoring unit, analyzing the monitoring data and outputting analysis data, and the output end of the data analysis unit is connected with the input end of the alarm management module.
The alarm management module comprises an alarm management unit and a work order management unit;
the alarm management unit is used for receiving the analysis data output by the data analysis unit and outputting alarm information, and the output end of the alarm management unit is connected with the input end of the work order management unit;
the work order management unit comprises a work order registration unit, a work order distribution unit, a work order acceptance unit and a work order evaluation unit;
the work order registration unit is used for receiving the alarm information output by the alarm management unit and outputting a registered work order according to the alarm information, and the output end of the work order registration unit is connected with the input end of the work order distribution unit;
the work order distribution unit is used for receiving the registration work order output by the work order registration unit, distributing the registration work order to maintenance personnel, and outputting a distributed work order, and the output end of the work order distribution unit is connected with the input end of the work order acceptance unit;
the work order acceptance unit is used for receiving the allocation work order output by the work order allocation unit, and a maintenance worker accepts the allocation work order, performs maintenance work and outputs a processed work order, and the output end of the work order acceptance unit is connected with the input end of the work order evaluation unit;
the work order evaluation unit is used for receiving the reception work order of the work order reception unit and evaluating the work of maintenance personnel.
A big data processing method based on the Internet of things comprises the following steps:
s6-1, collecting power consumption data, transmitting the power consumption data according to a communication protocol, and outputting the power consumption data;
s6-2, receiving electricity consumption data, processing the electricity consumption data according to a communication protocol, and outputting processed data;
s6-3, receiving the processing data, monitoring and analyzing the processing data, and outputting analysis data;
s6-4, receiving analysis data, and pushing alarm information and dispatching work order maintenance according to the analysis data.
In step S6-1, the communication protocol includes:
s7-1, establishing connection to a server by a client, and simultaneously, sending a link starting frame;
s7-2, after receiving the link starting frame, the server sends a starting confirmation frame to the client;
s7-3, after receiving the start confirmation frame, the client sends a total call data request frame;
s7-4, after receiving the total call data request, the server sends a total call data response frame, and then continues to send the total call data; after the transmission of the total call data is completed, transmitting a total call data ending frame;
s7-5, after receiving the total call data end frame, the client sends a time synchronization request frame;
s7-6, after receiving the time setting request frame, the server sends a time setting response frame;
s7-7, the server actively transmits the change data frame to the client, and simultaneously receives the control class command transmitted by the client and replies the corresponding operation result.
In step S6-3, the monitoring and analyzing includes:
s8-1, acquiring processing data, wherein real-time current I is acquired in the processing data r Real-time voltage U r Based on the power calculation formula, the electric power P is calculated r ＝I r *U r ；
S8-2, the system sets the threshold power to P max When using electric power P r <Threshold power P max When the representative monitoring data are normal; when using electric power P r Greater than or equal to threshold power P max When the duration exceeds the output value T of the time judgment model, a time judgment model is constructed r Representing that the monitoring data is abnormal;
and S8-3, pushing alarm information and dispatching a work order for maintenance when the monitoring data are abnormal.
In step S8-2, the time judgment model includes:
s9-1, acquiring historical data, wherein the duration set A= { t of the power consumption exceeding the threshold power under the condition of no fault 0 (1)，t 0 (2)，……，t 0 (n) } taking the time set a as the original data sequence;
s9-2, performing accumulation calculation on the data items in the time set A to generate an accumulation sequence B: t is t (1) ＝(t 1 (1)，t 1 (2)，……，t 1 (n))；
S9-3, calculating the adjacent value generation number: z 1 (n)＝at 0 (n)+(1-a)t 0 (n-1)；
S9-4, establishing a whitening model: dt (dt) 1 (x)/dx+at 1 (x)＝b，dt 1 A is a differential equation, a is a development coefficient, b is an ash action amount, and values of a and b can be calculated according to a least square method;
s9-5, according to model t 1 (x+1)＝(t 0 (1)-b/a)e -a +b/a, output predicted time output value t 1 (x+1) recording t as the predicted time output value 1 (x+1) is denoted as a prescribed time T r 。
Under the condition that no fault occurs, the power consumption exceeds the threshold power to be a small probability event, and the prediction analysis with higher precision can be realized by using the gray level prediction model.
In step S6-4, the dispatch worksheet includes:
s10-1, recording abnormal information and registering a work order when the monitoring data are abnormal;
s10-2, distributing the registration work order to maintenance personnel;
s10-3, a maintainer receives the distribution work order and overhauls the work order on site;
s10-4, after the maintenance personnel completes the work, the customer evaluates the maintenance condition to form an evaluation work order.
Compared with the prior art, the invention has the following beneficial effects:
1. the power consumption condition of a park enterprise is monitored in real time, management of the park power consumption is achieved, and management and control efficiency is improved;
2. the personnel is not required to be on duty and patrol, the field patrol is replaced by the internet of things perception, and the labor, material and time costs are effectively saved;
3. and monitoring electricity consumption data, predicting the duration of abnormal electricity consumption conditions, and pushing alarm information in time.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a big data processing system based on the Internet of things of the present invention;
fig. 2 is a flow chart of a big data processing method based on the internet of things.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions:
the big data processing system based on the Internet of things comprises a data acquisition module, a data processing module, a data monitoring module and an alarm management module;
the data acquisition module acquires electricity data through the intelligent ammeter, transmits the electricity data to a computer network according to a communication protocol, and outputs the electricity data, and the output end of the data acquisition module is connected with the input end of the data processing module;
the data processing module is used for receiving the power consumption data, processing the power consumption data according to a communication protocol and outputting processed data, and the output end of the data processing module is connected with the input end of the data monitoring module;
the data monitoring module is used for receiving the processing data, monitoring and analyzing the processing data and outputting analysis data, and the output end of the data monitoring module is connected with the input end of the alarm management module;
the alarm management module is used for receiving the analysis data, pushing alarm information and dispatching work order maintenance according to the analysis data.
The data acquisition module comprises a data acquisition unit and a data transmission unit;
the data acquisition unit is used for acquiring electricity utilization data and outputting the electricity utilization data, and the output end of the data acquisition unit is connected with the input end of the data transmission unit;
the data transmission unit is used for receiving the electricity consumption data output by the data acquisition unit, transmitting the electricity consumption data according to a communication protocol, and outputting transmission data, and the output end of the data transmission unit is connected with the input end of the data processing module.
The data processing module comprises a data receiving unit and a data processing unit;
the data receiving unit is used for receiving the transmission data of the data transmission unit and outputting the received data, and the output end of the data receiving unit is connected with the input end of the data processing unit;
the data processing unit is used for receiving the received data output by the data receiving unit, processing the received data according to a communication protocol and outputting processed data, and the output end of the data processing unit is connected with the input end of the data monitoring module.
The data monitoring module comprises a data monitoring unit and a data analysis unit;
the data monitoring unit is used for receiving the processing data output by the data processing unit and outputting monitoring data, and the output end of the data monitoring unit is connected with the input end of the data analysis unit;
the data analysis unit is used for receiving the monitoring data output by the data monitoring unit, analyzing the monitoring data and outputting analysis data, and the output end of the data analysis unit is connected with the input end of the alarm management module.
The alarm management module comprises an alarm management unit and a work order management unit;
the alarm management unit is used for receiving the analysis data output by the data analysis unit and outputting alarm information, and the output end of the alarm management unit is connected with the input end of the work order management unit;
the work order management unit comprises a work order registration unit, a work order distribution unit, a work order acceptance unit and a work order evaluation unit;
the work order registration unit is used for receiving the alarm information output by the alarm management unit and outputting a registered work order according to the alarm information, and the output end of the work order registration unit is connected with the input end of the work order distribution unit;
the work order distribution unit is used for receiving the registration work order output by the work order registration unit, distributing the registration work order to maintenance personnel, and outputting a distributed work order, and the output end of the work order distribution unit is connected with the input end of the work order acceptance unit;
the work order acceptance unit is used for receiving the allocation work order output by the work order allocation unit, and a maintenance worker accepts the allocation work order, performs maintenance work and outputs a processed work order, and the output end of the work order acceptance unit is connected with the input end of the work order evaluation unit;
the work order evaluation unit is used for receiving the reception work order of the work order reception unit and evaluating the work of maintenance personnel.
A big data processing method based on the Internet of things comprises the following steps:
s6-1, collecting power consumption data, transmitting the power consumption data according to a communication protocol, and outputting the power consumption data;
s6-2, receiving electricity consumption data, processing the electricity consumption data according to a communication protocol, and outputting processed data;
s6-3, receiving the processing data, monitoring and analyzing the processing data, and outputting analysis data;
s6-4, receiving analysis data, and pushing alarm information and dispatching work order maintenance according to the analysis data.
In step S6-1, the communication protocol includes:
s7-1, establishing connection to a server by a client, and simultaneously, sending a link starting frame;
s7-2, after receiving the link starting frame, the server sends a starting confirmation frame to the client;
s7-3, after receiving the start confirmation frame, the client sends a total call data request frame;
s7-4, after receiving the total call data request, the server sends a total call data response frame, and then continues to send the total call data; after the transmission of the total call data is completed, transmitting a total call data ending frame;
s7-5, after receiving the total call data end frame, the client sends a time synchronization request frame;
s7-6, after receiving the time setting request frame, the server sends a time setting response frame;
s7-7, the server actively transmits the change data frame to the client, and simultaneously receives the control class command transmitted by the client and replies the corresponding operation result.
In step S6-3, the monitoring and analyzing includes:
s8-1, acquiring processing data, wherein real-time current I is acquired in the processing data r Real-time voltage U r Based on the power calculation formula, the electric power P is calculated r ＝I r *U r ；
S8-2, the system sets the threshold power to P max When using electric power P r <Threshold power P max When the representative monitoring data are normal; when using electric power P r Greater than or equal to threshold power P max When the duration exceeds the output value T of the time judgment model, a time judgment model is constructed r Representing that the monitoring data is abnormal;
and S8-3, pushing alarm information and dispatching a work order for maintenance when the monitoring data are abnormal.
In step S8-2, the time judgment model includes:
s9-1, acquiring historical data, wherein the duration set A= { t of the power consumption exceeding the threshold power under the condition of no fault 0 (1)，t 0 (2)，……，t 0 (n) } taking the time set a as the original data sequence;
s9-2, performing accumulation calculation on the data items in the time set A to generate an accumulation sequence B: t is t (1) ＝(t 1 (1)，t 1 (2)，……，t 1 (n))；
S9-3, calculating the adjacent value generation number: z 1 (n)＝at 0 (n)+(1-a)t 0 (n-1)；
S9-4, establishing a whitening model: dt (dt) 1 (x)/dx+at 1 (x)＝b，dt 1 A is a differential equation, a is a development coefficient, b is an ash action amount, and values of a and b can be calculated according to a least square method;
s9-5, according to model t 1 (x+1)＝(t 0 (1)-b/a)e -a +b/a, output predicted time output value t 1 (x+1) recording t as the predicted time output value 1 (x+1) is denoted as a prescribed time T r 。
In step S6-4, the dispatch worksheet includes:
s10-1, recording abnormal information and registering a work order when the monitoring data are abnormal;
s10-2, distributing the registration work order to maintenance personnel;
s10-3, a maintainer receives the distribution work order and overhauls the work order on site;
s10-4, after the maintenance personnel completes the work, the customer evaluates the maintenance condition to form an evaluation work order.
In this embodiment:
acquiring electricity consumption data of a certain factory enterprise, wherein the duration time of the electricity consumption power exceeding the threshold power under the condition of no fault in one month is respectively 3,5, 10,8 and 20, and the unit is as follows: second, add duration to time set a, time set a= {3,5, 10,8, 20};
accumulating the data items in the time set A to obtain an accumulated sequence B (3,8,18, 26, 40);
calculating the neighbor value generation number: z 1 (n)＝at 0 (n)+(1-a)t 0 (n-1)；
And (3) establishing a whitening model: dt (dt) 1 (x)/dx+at 1 (x)＝b，dt 1 A is a differential equation, a is a development coefficient, b is an ash action amount, and values of a and b are calculated according to a least square method;
according to model t 1 (x+1)＝(t 0 (1)-b/a)e -a +b/a, output predicted time output value t 1 (x+1) recording t as the predicted time output value 1 (x+1) is denoted as a prescribed time T r 。
Collecting power consumption in real time to obtain enterprise power consumption P r 4.2kW, threshold power P max Set to 4kW, find the electric power P r Greater than or equal to threshold power P max And the duration exceeds the prescribed time T r Thus pushing the alert information and dispatching the work order for maintenance.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, 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.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. Big data processing system based on thing networking, its characterized in that: the system comprises a data acquisition module, a data processing module, a data monitoring module and an alarm management module;
the data acquisition module acquires electricity data through the intelligent ammeter, transmits the electricity data to a computer network according to a communication protocol, and outputs the electricity data, and the output end of the data acquisition module is connected with the input end of the data processing module;
the data processing module is used for receiving the power consumption data, processing the power consumption data according to a communication protocol and outputting processed data, and the output end of the data processing module is connected with the input end of the data monitoring module;
the data monitoring module is used for receiving the processing data, monitoring and analyzing the processing data and outputting analysis data, and the output end of the data monitoring module is connected with the input end of the alarm management module;
the alarm management module is used for receiving the analysis data, pushing alarm information and dispatching work order maintenance according to the analysis data.
2. The big data processing system based on the internet of things according to claim 1, wherein: the data acquisition module comprises a data acquisition unit and a data transmission unit;
the data acquisition unit is used for acquiring electricity utilization data and outputting the electricity utilization data, and the output end of the data acquisition unit is connected with the input end of the data transmission unit;
the data transmission unit is used for receiving the electricity consumption data output by the data acquisition unit, transmitting the electricity consumption data according to a communication protocol, and outputting transmission data, and the output end of the data transmission unit is connected with the input end of the data processing module.
3. The big data processing system based on the internet of things according to claim 2, wherein: the data processing module comprises a data receiving unit and a data processing unit;
the data receiving unit is used for receiving the transmission data of the data transmission unit and outputting the received data, and the output end of the data receiving unit is connected with the input end of the data processing unit;
the data processing unit is used for receiving the received data output by the data receiving unit, processing the received data according to a communication protocol and outputting processed data, and the output end of the data processing unit is connected with the input end of the data monitoring module.
4. A big data processing system based on the internet of things according to claim 3, wherein: the data monitoring module comprises a data monitoring unit and a data analysis unit;
the data monitoring unit is used for receiving the processing data output by the data processing unit and outputting monitoring data, and the output end of the data monitoring unit is connected with the input end of the data analysis unit;
the data analysis unit is used for receiving the monitoring data output by the data monitoring unit, analyzing the monitoring data and outputting analysis data, and the output end of the data analysis unit is connected with the input end of the alarm management module.
5. The big data processing system based on the internet of things according to claim 4, wherein: the alarm management module comprises an alarm management unit and a work order management unit;
the alarm management unit is used for receiving the analysis data output by the data analysis unit and outputting alarm information, and the output end of the alarm management unit is connected with the input end of the work order management unit;
the work order management unit comprises a work order registration unit, a work order distribution unit, a work order acceptance unit and a work order evaluation unit;
the work order registration unit is used for receiving the alarm information output by the alarm management unit and outputting a registered work order according to the alarm information, and the output end of the work order registration unit is connected with the input end of the work order distribution unit;
the work order distribution unit is used for receiving the registration work order output by the work order registration unit, distributing the registration work order to maintenance personnel, and outputting a distributed work order, and the output end of the work order distribution unit is connected with the input end of the work order acceptance unit;
the work order acceptance unit is used for receiving the allocation work order output by the work order allocation unit, and a maintenance worker accepts the allocation work order, performs maintenance work and outputs a processed work order, and the output end of the work order acceptance unit is connected with the input end of the work order evaluation unit;
the work order evaluation unit is used for receiving the reception work order of the work order reception unit and evaluating the work of maintenance personnel.
6. The big data processing method based on the Internet of things is characterized by comprising the following steps of: the method comprises the following steps:
s6-1, collecting power consumption data, transmitting the power consumption data according to a communication protocol, and outputting the power consumption data;
s6-2, receiving electricity consumption data, processing the electricity consumption data according to a communication protocol, and outputting processed data;
s6-3, receiving the processing data, monitoring and analyzing the processing data, and outputting analysis data;
s6-4, receiving analysis data, and pushing alarm information and dispatching work order maintenance according to the analysis data.
7. The big data processing method based on the internet of things according to claim 6, wherein the big data processing method based on the internet of things is characterized in that: in step S6-1, the communication protocol includes:
s7-1, establishing connection to a server by a client, and simultaneously, sending a link starting frame;
s7-2, after receiving the link starting frame, the server sends a starting confirmation frame to the client;
s7-3, after receiving the start confirmation frame, the client sends a total call data request frame;
s7-4, after receiving the total call data request, the server sends a total call data response frame, and then continues to send the total call data; after the transmission of the total call data is completed, transmitting a total call data ending frame;
s7-5, after receiving the total call data end frame, the client sends a time synchronization request frame;
s7-6, after receiving the time setting request frame, the server sends a time setting response frame;
s7-7, the server actively transmits the change data frame to the client, and simultaneously receives the control class command transmitted by the client and replies the corresponding operation result.
8. The big data processing method based on the internet of things according to claim 6, wherein the big data processing method based on the internet of things is characterized in that: in step S6-3, the monitoring and analyzing includes:
s8-1, acquiring processing data, wherein real-time current I is acquired in the processing data r Real-time voltage U r Based on the power calculation formula, the electric power P is calculated r ＝I r *U r ；
S8-2, the system sets the threshold power to P max When using electric power P r <Threshold power P max When the representative monitoring data are normal; when using electric power P r Greater than or equal to threshold power P max When the duration exceeds the output value T of the time judgment model, a time judgment model is constructed r Representing that the monitoring data is abnormal;
and S8-3, pushing alarm information and dispatching a work order for maintenance when the monitoring data are abnormal.
9. The big data processing method based on the internet of things according to claim 8, wherein the big data processing method based on the internet of things is characterized in that: in step S8-2, the time judgment model includes:
s9-1, acquiring historical data, wherein the duration set A= { t of the power consumption exceeding the threshold power under the condition of no fault 0 (1)，t 0 (2)，……，t 0 (n) } taking the time set a as the original data sequence;
s9-2, performing accumulation calculation on the data items in the time set A to generate an accumulation sequence B: t is t (1) ＝(t 1 (1)，t 1 (2)，……，t 1 (n))；
S9-3, calculating the adjacent value generation number: z 1 (n)＝at 0 (n)+(1-a)t 0 (n-1)；
S9-4, establishing a whitening model: dt (dt) 1 (x)/dx+at 1 (x)＝b，dt 1 A is a differential equation, a is a development coefficient, b is an ash action amount, and values of a and b are calculated according to a least square method;
s9-5, according to model t 1 (x+1)＝(t 0 (1)-b/a)e -a +b/a, output predicted time output value t 1 (x+1) recording t as the predicted time output value 1 (x+1) is denoted as a prescribed time T r 。
10. The big data processing method based on the internet of things according to claim 6, wherein the big data processing method based on the internet of things is characterized in that: in step S6-4, the dispatch worksheet includes:
s10-1, recording abnormal information and registering a work order when the monitoring data are abnormal;
s10-2, distributing the registration work order to maintenance personnel;
s10-3, a maintainer receives the distribution work order and overhauls the work order on site;
s10-4, after the maintenance personnel completes the work, the customer evaluates the maintenance condition to form an evaluation work order.
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