CN111245926A - Working condition load analysis system based on ubiquitous power sensor Internet of things - Google Patents
Working condition load analysis system based on ubiquitous power sensor Internet of things Download PDFInfo
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Abstract
The invention discloses a working condition load analysis system based on the Internet of things of ubiquitous power sensors, which comprises a power load sensing layer, a network communication layer and a system application layer, wherein the power load sensing layer comprises a user interaction terminal, a safety protection unit, a working condition load data preprocessing unit and a power sensor unit. This operating mode load analytic system based on ubiquitous power sensor thing networking, can realize the change according to electric wire netting load circuit detection information, judge whether the load appears the abnormal power consumption such as electric leakage electricity stealing, the function of electric power operating mode load analytic system has been greatly enriched, can not only realize the detection to electric power load, judge whether each load can normally power consumption work, and can know the power consumption condition of each load in real time, can improve analytic system's intelligent degree greatly, need not electric power maintainer cost plenty of time and regularly patrol and examine, the manpower and materials of electric power maintenance have been saved greatly.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a working condition load analysis system based on the Internet of things of ubiquitous power sensors.
Background
The ubiquitous internet of things refers to information connection and interaction among any person and any object at any time and any place, so that the ubiquitous power internet of things is a concrete expression form and application ground of the ubiquitous internet of things in the power industry, the ubiquitous power internet of things surrounds all links of the power system, the modern information technology and the advanced communication technology are fully applied, all-thing interconnection and man-machine interaction of all links of the power system are achieved, the intelligent service system has the characteristics of comprehensive sensing information efficient processing and convenient and flexible application, shared data are generated through holographic sensing and wide interconnection, and value service is provided through fusion and is a target for construction of the ubiquitous power internet of things The interconnection of objects and things further emphasizes the realization of ubiquitous services on the basis of the interconnection of people and objects, namely the interconnection and intercommunication of people, objects and services through the Internet of things.
At present, when the working condition of each user load of a power grid is analyzed, load information is mostly detected directly through a power grid terminal, and load data information is transmitted to an application monitoring terminal through a wireless network for analysis, however, the power grid working condition load analysis system has the following defects:
1) the function is single, only the detection of the power load can be realized, whether each load can work normally or not can be judged, and whether the load has abnormal power consumption such as electricity leakage and electricity stealing and the like can not be judged according to the change of the detection information of the power grid load circuit;
2) the existing load analysis system is poor in safety, due to the characteristic of information transmission of the ubiquitous Internet of things, electricity utilization information of a user is easy to leak, privacy safety of the user is seriously affected, and the safety protection gateway cannot be arranged in the process of detecting the power Internet of things, so that the whole analysis system is safer;
3) the intelligent degree is low, the purpose that the load analysis system can intelligently search the data information related to the detected load by combining an intelligent neural network algorithm cannot be achieved, the power maintenance personnel spend a large amount of time for regularly patrolling, and the manpower and material resources for power maintenance are increased.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a working condition load analysis system based on the ubiquitous power sensor Internet of things, and solves the problems that the existing analysis system is single in function, poor in safety and low in intelligent degree.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides an operating condition load analytic system based on ubiquitous power sensor thing networking, includes power load perception layer, network communication layer and system application layer, power load perception layer includes user interaction terminal, safety protection unit, operating condition load data preprocessing unit and power sensor unit, the output and the input of safety protection unit of user interaction terminal are connected, and the output of safety protection unit and power sensor unit all is connected with the input of operating condition load data preprocessing unit, the system application layer includes system backstage information management module, application layer interaction terminal, electric power operation and maintenance reports an emergency and asks for help or increased vigilance the platform, the networking big database module, data processing system, data storage module and steal electric analytic unit, system backstage information management module respectively with application layer interaction terminal, electric power operation and maintenance reports an emergency and asks for help or increased vigilance the platform, the networking big database module that reports an emergency and asks for help or increased vigilance the, The data processing system, the data storage module and the electricity stealing analysis unit are connected in a bidirectional mode.
Preferably, the user interaction terminal comprises a user login module, a user authority authentication module and a user operation execution module, the working condition load data preprocessing unit comprises a data address information carrying module, a data classification integration module and a wireless network transmission module, the output end of the data address information carrying module is connected with the input end of the data classification integration module, and the output end of the data classification integration module is connected with the input end of the wireless network transmission module.
Preferably, the safety protection unit comprises a central processing module, a threat assessment module, an attack defense module, an encryption authentication module, a network protocol access control module, a privacy protection module and an intrusion detection module, and the output ends of the threat assessment module, the attack defense module, the encryption authentication module, the network protocol access control module, the privacy protection module and the intrusion detection module are all connected with the input end of the central processing module.
Preferably, the power sensor unit includes n current sensors, n voltage sensors, and n electric energy meters.
Preferably, the data processing system comprises a working condition environment detection unit, a load data receiving unit, a working condition target model generation module, a load address decoding module, a target information search unit, a data analysis processing unit, a data association unit, a data fusion unit and a target state analysis module.
Preferably, the target information searching unit comprises a data importing module, a searching keyword editing module, a neural network algorithm intelligent processing module and a sub-channel searching module.
Preferably, the data parsing processing unit includes a target address translation module and a time alignment module.
Preferably, the electricity stealing analysis unit comprises a load information extraction module, an average electricity consumption data analysis module, a load historical electricity consumption information extraction module, an electricity stealing judgment module and an electricity stealing estimation module.
Preferably, the analysis method of the working condition load analysis system based on the ubiquitous power sensor internet of things specifically comprises the following steps:
s1, firstly, a user logs in through a user login module in the user interaction terminal, then personal information authentication is carried out through a user authority authentication module, and after the authentication is successful, the user operation execution module can interact with the whole current analysis system;
s2, detecting the current and voltage of each load connected to the power grid and the electric energy used in the specified time by the power sensor unit installed on the power grid where each load is located, transmitting the detected data information to the working condition load data preprocessing unit, firstly carrying the address information data corresponding to each load on the detected data through the data address information carrying module, then integrating the data into a data packet through the data classification and integration module, then loading the data packet on a signal wave through the wireless network transmission module for transmission, classifying and receiving the transmitted data through the network communication layer, and transmitting the converted data to the system application layer;
s3, a system background information management module in a system application layer controls a data processing system to process data, a load data receiving unit in the data processing system receives collected load information, a load address decoding module analyzes the address of a load, a working condition environment detection unit detects the working condition environment of the load according to the analyzed load address information, a working condition target model generation module generates a load working condition model, and the load information and the generated working condition model are simultaneously transmitted to the data analysis processing unit;
s4, converting a target address conversion module in a data analysis processing unit into a binary prefix identifier, calibrating the time of a detected load by a time alignment module, importing working condition model data by a data importing module in a target information searching unit, inputting a load working information keyword matched with a load working condition by a search keyword editing module, extracting retrieval characteristics in the keyword by a neural network algorithm intelligent processing module, and performing classified retrieval by a sub-channel retrieval module to obtain the maximum electric energy limit value and historical target load information under the working condition model;
s5, transmitting the maximum limit data of the electric energy under the same working condition model retrieved in the step S4 to a data association unit for association and comparison with the detected data, performing fusion and comparison processing on the extracted historical target load information and the detected data information through a data fusion unit, analyzing the target state through a target state analysis module, and sending the analysis result to an electricity stealing analysis unit through a system background information management module;
s6, the electricity stealing analysis unit analyzes and extracts the load information data, the historical electricity utilization information data and the average electricity utilization data through the load information extraction module, the average electricity utilization data analysis module and the load historical electricity utilization information extraction module respectively, then transmits the data into the electricity stealing evaluation module to be evaluated through an evaluation algorithm, then evaluates an evaluation value through the electricity stealing estimation module, transmits the evaluation data into the application layer interaction terminal to be analyzed, and if the evaluation value exceeds the standard, informs the electric power operation and maintenance alarm platform to alarm, investigate and maintain the corresponding load;
and S7, in the whole system operation process, the central processing module in the safety protection unit respectively controls the threat assessment module, the attack defense module, the encryption authentication module, the network protocol access control module, the privacy protection module and the intrusion detection module to carry out safety protection on the system.
Preferably, the retrieval features in the keywords extracted in step S4, the maximum limit of the electric energy under the same condition model, the historical target load information and the working algorithm are extracted and retrieved from the networking big database module.
(III) advantageous effects
The invention provides a working condition load analysis system based on the Internet of things of ubiquitous power sensors. Compared with the prior art, the method has the following beneficial effects:
(1) the working condition load analysis system based on the ubiquitous power sensor Internet of things comprises a power load sensing layer, a network communication layer and a system application layer, wherein the power load sensing layer comprises a user interaction terminal, a safety protection unit, a working condition load data preprocessing unit and a power sensor unit, the output end of the user interaction terminal is connected with the input end of the safety protection unit, the output ends of the safety protection unit and the power sensor unit are connected with the input end of the working condition load data preprocessing unit, the system application layer comprises a system background information management module, an application layer interaction terminal, a power operation and maintenance warning platform, a networking big database module, a data processing system, a data storage module and a power stealing analysis unit, the system background information management module is respectively connected with the application layer interaction terminal, the power operation and maintenance warning platform, the networking big database module, a power stealing analysis module, The data processing system, the data storage module and the electricity stealing analysis unit are connected in a two-way mode, whether abnormal electricity consumption such as electricity leakage and electricity stealing can be judged according to the change of detection information of a power grid load circuit, the functions of the electric power working condition load analysis system are greatly enriched, the detection of the electric power load can be realized, whether normal electricity consumption work of each load can be judged, and the electricity consumption condition of each load can be known in real time.
(2) The working condition load analysis system based on the ubiquitous power sensor Internet of things comprises a working condition environment detection unit, a load data receiving unit, a working condition target model generation module, a load address decoding module, a target information searching unit, a data analysis processing unit, a data association unit, a data fusion unit and a target state analysis module, wherein the target information searching unit comprises a data import module, a search keyword editing module, a neural network algorithm intelligent processing module and a sub-channel retrieval module, the intelligent degree of the analysis system can be greatly improved, the purpose that the load analysis system can intelligently search data information related to the detected load by combining an intelligent neural network algorithm is well achieved, a large amount of time is not required for power maintenance personnel to regularly patrol, and manpower and material resources for power maintenance are greatly saved.
(3) This operating mode load analytic system based on ubiquitous power sensor thing networking, the safety protection unit includes central processing module, threaten the evaluation module, attack defense module, encryption authentication module, network protocol access control module, privacy protection module and intrusion detection module's output all is connected with central processing module's input, can realize through setting up safety protection gateway at electric power thing networking detection's in-process, make whole analytic system safer, load analytic system's security has been improved greatly, prevent user's power consumption information leakage, user's privacy security has been guaranteed.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic block diagram of the structure of the power load sensing layer, the network communication layer and the system application layer according to the present invention;
FIG. 3 is a schematic block diagram of the structure of the safety protection unit of the present invention;
FIG. 4 is a schematic block diagram of the structure of the working condition load data preprocessing unit according to the present invention;
FIG. 5 is a schematic block diagram of the structure of the power sensor unit of the present invention;
FIG. 6 is a functional block diagram of the architecture of the data processing system of the present invention;
FIG. 7 is a schematic block diagram of the structure of the target information search unit according to the present invention;
FIG. 8 is a schematic block diagram of the structure of a data parsing unit according to the present invention;
FIG. 9 is a schematic block diagram illustrating the structure of a power stealing analysis unit according to the present invention;
FIG. 10 is a flow chart of a data processing algorithm of the present invention.
In the figure, 1 power load sensing layer, 11 user interaction terminals, 111 user login module, 112 user authority authentication module, 113 user operation execution module, 12 security protection unit, 121 central processing module, 122 threat assessment module, 123 attack defense module, 124 encryption authentication module, 125 network protocol access control module, 126 privacy protection module, 127 intrusion detection module, 13 working condition load data preprocessing unit, 131 data address information loading module, 132 data classification integration module, 133 wireless network transmission module, 14 power sensor unit, 2 network communication layer, 3 system application layer, 31 system background information management module, 32 application layer interaction terminal, 33 power operation and maintenance alarm platform, 34 networking big database module, 35 data processing system, 351 working condition environment detection unit, 352 load data receiving unit, 353 working condition target model generation module, 354 load address decoding module, 355 target information searching unit, 3551 data importing module, 3552 search keyword editing module, 3553 neural network algorithm intelligent processing module, 3554 subchannel retrieval module, 356 data analysis processing unit, 3561 target address transformation module, 3562 time alignment module, 357 data association unit, 358 data fusion unit, 359 target state analysis module, 36 data storage module, 37 electricity stealing analysis unit, 371 load information extraction module, 372 average electricity consumption data analysis module, 373 load historical electricity consumption information extraction module, 374 electricity stealing evaluation module and 375 electricity stealing estimation module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 10, an embodiment of the present invention provides a technical solution: a working condition load analysis system based on the ubiquitous power sensor Internet of things comprises a power load sensing layer 1, a network communication layer 2 and a system application layer 3, wherein the power load sensing layer 1 comprises a user interaction terminal 11, a safety protection unit 12, a working condition load data preprocessing unit 13 and a power sensor unit 14, the output end of the user interaction terminal 11 is connected with the input end of the safety protection unit 12, the output ends of the safety protection unit 12 and the power sensor unit 14 are connected with the input end of the working condition load data preprocessing unit 13, the system application layer 3 comprises a system background information management module 31, an application layer interaction terminal 32, a power operation and maintenance alarm platform 33, a networking large database module 34, a data processing system 35, a data storage module 36 and an electricity stealing analysis unit 37, and the system background information management module 31 is respectively connected with the application layer interaction terminal 32, a network communication layer 2 and a system application layer 3, The electric power operation and maintenance warning platform 33, the networking big database module 34, the data processing system 35, the data storage module 36 and the electricity stealing analysis unit 37 realize bidirectional connection, the user interaction terminal 11 comprises a user login module 111, a user authority authentication module 112 and a user operation execution module 113, a user logs in through the user login module 111 in the user interaction terminal 11 and then performs personal information authentication through the user authority authentication module 112, after authentication is successful, the user operation execution module 113 interacts with the whole current analysis system, the working condition load data preprocessing unit 13 comprises a data address information carrying module 131, a data classification integration module 132 and a wireless network transmission module 133, the output end of the data address information carrying module 131 is connected with the input end of the data classification integration module 132, and the output end of the data classification integration module 132 is connected with the input end of the wireless network transmission module 133, the data address information carrying module 131 carries address information data corresponding to each load on the detected data, and then integrates the detected data into a data packet through the data classification and integration module 132, and then loads the data packet into a signal wave through the wireless network transmission module 133 for transmission, the security protection unit 12 includes a central processing module 121, a threat assessment module 122, an attack defense module 123, an encryption authentication module 124, a network protocol access control module 125, a privacy protection module 126 and an intrusion detection module 127, output ends of the threat assessment module 122, the attack defense module 123, the encryption authentication module 124, the network protocol access control module 125, the privacy protection module 126 and the intrusion detection module 127 are all connected with an input end of the central processing module 121, the central processing module 121 controls the threat assessment module 123, the attack defense module 124, the encryption authentication module 125, the privacy protection module 126 and the intrusion detection module 127 respectively, The network protocol access control module 126, the privacy protection module 127 and the intrusion detection module 128 perform security protection on the system, the power sensor unit 14 includes n current sensors, n voltage sensors and n electric energy meters, the model of the current sensor is LMZJ1, the voltage sensor is a voltage sensor which is preferably selected to be XRDT belief-Ruida, the electric energy meter is a HT7017 electric energy meter adopting Hitrend, the data processing system 35 includes a working condition environment detection unit 351, a load data receiving unit 352, a working condition target model generation module 353, a load address decoding module 354, a target information search unit 355, a data analysis processing unit 356, a data association unit 357, a data fusion unit 358 and a target state analysis module 359, the target information search unit 355 includes a data import module 3551, a search keyword editing module 3552, a neural network algorithm intelligent processing module 3553 and a sub-channel retrieval module 3554, the data import module 3551 in the target information search unit 355 imports working condition model data, load working information keywords matched with load working conditions are imported through the search keyword editing module 3552, then retrieval characteristics in the keywords are extracted through the neural network algorithm intelligent processing module 3553, classified retrieval is carried out through the sub-channel retrieval module 3554, so that the electric energy maximum limit value and historical target load information under the working condition model are obtained, the retrieval characteristics in the keywords, the electric energy maximum limit value under the same working condition model, the historical target load information and the working algorithm are extracted and retrieved from the networking big database module 34, the data analysis processing unit 356 comprises a target address transformation module 3561 and a time alignment module 3562, the target address transformation module 3561 in the data analysis processing unit 356 is transformed into binary prefix marks, and the time of the detected load is calibrated through the time alignment module 3562, the electricity stealing analysis unit 37 comprises a load information extraction module 371, an average electricity utilization data analysis module 372, a load historical electricity utilization information extraction module 373, an electricity stealing judgment module 374 and an electricity stealing estimation module 375, wherein the electricity stealing analysis unit 37 analyzes and extracts the load information data, the historical electricity utilization information data and the average electricity utilization data respectively through the load information extraction module 371, the average electricity utilization data analysis module 372 and the load historical electricity utilization information extraction module 373, then transmits the data to the electricity stealing judgment module 374 to be judged through an estimation algorithm, then estimates an estimation value through the electricity stealing estimation module 375, then transmits the estimation data to the application layer interaction terminal 11 to be analyzed, and if the data exceeds the standard, informs the electric power operation and maintenance alarm platform 33 to alarm, investigate and maintain the corresponding load.
The invention discloses an analysis method of a working condition load analysis system based on the Internet of things of ubiquitous power sensors, which specifically comprises the following steps:
s1, firstly, a user logs in through a user login module 111 in the user interaction terminal 11, then personal information authentication is carried out through a user authority authentication module 112, and after the authentication is successful, the user operation execution module 113 can interact with the whole current analysis system;
s2, the power sensor unit 14 installed on the power grid where each load is located detects the current and voltage of each load accessing the power grid and the power used in the specified time, and transmits the detected data information to the working condition load data preprocessing unit 13, first loads the address information data corresponding to each load on the detected data through the data address information loading module 131, then integrates the data into a data packet through the data classification integration module 132, then loads the data packet on the signal wave through the wireless network transmission module 133 for transmission, classifies and receives the transmitted data through the network communication layer 2, and transmits the transferred data to the system application layer 3;
s3, the system background information management module 31 in the system application layer 3 controls the data processing system 35 to process data, the load data receiving unit 352 in the data processing system 35 receives the collected load information, analyzes the address of the load through the load address decoding module 354, detects the load condition environment through the condition environment detecting unit 351 according to the analyzed load address information, generates a load condition model through the condition target model generating module 353, and simultaneously transmits the load information and the generated condition model to the data analyzing and processing unit 356;
s4, the target address transformation module 3561 in the data parsing unit 356 transforms the binary prefix tag into a binary prefix tag, and the time alignment module 3562 aligns the time of the detected load, the behaviour model data is then imported by a data import module 3551 within the target information search unit 355, load work information keywords matched with the load working condition are input through a search keyword editing module 3552, then retrieval characteristics in the keywords are extracted through a neural network algorithm intelligent processing module 3553, classification retrieval is carried out through a sub-channel retrieval module 3554, therefore, the maximum limit value of the electric energy and the historical target load information under the working condition model are obtained, and the retrieval characteristics in the key words, the maximum limit value of the electric energy, the historical target load information and the working algorithm under the same working condition model are extracted and retrieved from the networking big database module 34;
s5, transmitting the maximum limit data of the electric energy under the same working condition model retrieved in the step S4 into a data association unit 357 to be associated and compared with the detected data, fusing and comparing the extracted historical target load information and the detected data information through a data fusion unit 358, analyzing the target state through a target state analysis module 359, and transmitting the analysis result into the electricity stealing analysis unit 37 through a system background information management module 31;
s6, the electricity stealing analysis unit 37 analyzes and extracts the load information data, the historical electricity utilization information data and the average electricity utilization data through the load information extraction module 371, the average electricity utilization data analysis module 372 and the load historical electricity utilization information extraction module 373 respectively, then transmits the load information data, the historical electricity utilization information data and the average electricity utilization data to the electricity stealing judgment module 374 to be judged through an evaluation algorithm, then evaluates an estimated value through the electricity stealing estimation module 375, transmits the estimated value to the application layer interaction terminal 11 to be analyzed, and if the load exceeds the standard, informs the electricity operation and maintenance alarm platform 33 to alarm, arrange and maintain the corresponding load;
s7, in the whole system operation process, the central processing module 121 in the security protection unit 12 controls the threat assessment module 123, the attack defense module 124, the encryption authentication module 125, the network protocol access control module 126, the privacy protection module 127, and the intrusion detection module 128 to perform security protection on the system respectively.
It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a working condition load analytic system based on ubiquitous power sensor thing networking, includes power load perception layer (1), network communication layer (2) and system application layer (3), its characterized in that: electric power load perception layer (1) is including user interaction terminal (11), safety protection unit (12), operating condition load data preprocessing unit (13) and power sensor unit (14), the output of user interaction terminal (11) is connected with the input of safety protection unit (12), and the output of safety protection unit (12) and power sensor unit (14) all is connected with the input of operating condition load data preprocessing unit (13), system application layer (3) are including system backstage information management module (31), application layer interaction terminal (32), electric power fortune dimension warning platform (33), networking big database module (34), data processing system (35), data storage module (36) and steal electric analysis unit (37), system backstage information management module (31) respectively with application layer interaction terminal (32), The electric power operation and maintenance alarm platform (33), the networking big database module (34), the data processing system (35), the data storage module (36) and the electricity stealing analysis unit (37) realize bidirectional connection.
2. The working condition load analysis system based on the Internet of things of ubiquitous power sensors according to claim 1, wherein: the user interaction terminal (11) comprises a user login module (111), a user authority authentication module (112) and a user operation execution module (113), the working condition load data preprocessing unit (13) comprises a data address information carrying module (131), a data classification integration module (132) and a wireless network transmission module (133), the output end of the data address information carrying module (131) is connected with the input end of the data classification integration module (132), and the output end of the data classification integration module (132) is connected with the input end of the wireless network transmission module (133).
3. The working condition load analysis system based on the Internet of things of ubiquitous power sensors according to claim 1, wherein: the security protection unit (12) comprises a central processing module (121), a threat assessment module (122), an attack defense module (123), an encryption authentication module (124), a network protocol access control module (125), a privacy protection module (126) and an intrusion detection module (127), wherein output ends of the threat assessment module (122), the attack defense module (123), the encryption authentication module (124), the network protocol access control module (125), the privacy protection module (126) and the intrusion detection module (127) are connected with an input end of the central processing module (121).
4. The working condition load analysis system based on the Internet of things of ubiquitous power sensors according to claim 1, wherein: the power sensor unit (14) comprises n current sensors, n voltage sensors and n electric energy meters.
5. The working condition load analysis system based on the Internet of things of ubiquitous power sensors according to claim 1, wherein: the data processing system (35) comprises a working condition environment detection unit (351), a load data receiving unit (352), a working condition target model generation module (353), a load address decoding module (354), a target information search unit (355), a data analysis processing unit (356), a data association unit (357), a data fusion unit (358) and a target state analysis module (359).
6. The working condition load analysis system based on the Internet of things of ubiquitous power sensors is characterized in that: the target information search unit (355) includes a data import module (3551), a search keyword editing module (3552), a neural network algorithm intelligent processing module (3553), and a subchannel retrieval module (3554).
7. The working condition load analysis system based on the Internet of things of ubiquitous power sensors is characterized in that: the data parsing processing unit (356) includes a target address translation module (3561) and a time alignment module (3562).
8. The working condition load analysis system based on the Internet of things of ubiquitous power sensors according to claim 1, wherein: the electricity stealing analysis unit (37) comprises a load information extraction module (371), an average electricity utilization data analysis module (372), a load historical electricity utilization information extraction module (373), an electricity stealing evaluation module (374) and an electricity stealing estimation module (375).
9. The working condition load analysis system based on the Internet of things of ubiquitous power sensors according to any one of claims 1 to 8, wherein: the analysis method specifically comprises the following steps:
s1, firstly, a user logs in through a user login module (111) in the user interaction terminal (11), then personal information authentication is carried out through a user authority authentication module (112), and interaction with the whole current analysis system can be carried out through a user operation execution module (113) after authentication is successful;
s2, detecting the current and voltage of each load connected to the power grid and the electric energy used in the specified time by the power sensor unit (14) installed on the power grid where each load is located, transmitting the detected data information to the working condition load data preprocessing unit (13), firstly carrying the address information data corresponding to each load on the detected data through the data address information carrying module (131), then integrating the data into a data packet through the data classification integrating module (132), then loading the data packet on a signal wave through the wireless network transmission module (133) for transmission, classifying and receiving the transmitted data through the network communication layer (2), and transmitting the converted data to the system application layer (3);
s3, a system background information management module (31) in a system application layer (3) controls a data processing system (35) to process data, a load data receiving unit (352) in the data processing system (35) receives collected load information, a load address decoding module (354) resolves addresses of loads, a working condition environment detection unit (351) detects load working conditions according to resolved load address information, a working condition target model generation module (353) generates load working condition models, and the load information and the generated working condition models are simultaneously transmitted to a data resolving processing unit (356);
s4, converting a target address conversion module (3561) in a data analysis processing unit (356) into a binary prefix identifier, calibrating the time of the detected load by a time alignment module (3562), importing working condition model data by a data import module (3551) in a target information search unit (355), inputting load working information keywords matched with the load working conditions by a search keyword editing module (3552), extracting retrieval features in the keywords by a neural network algorithm intelligent processing module (3553), and performing classified retrieval by a sub-channel retrieval module (3554) to obtain the maximum electric energy limit and historical target load information under the working condition model;
s5, transmitting the maximum limit data of the electric energy under the same working condition model retrieved in the step S4 into a data association unit (357) to be associated and compared with the detected data, fusing and comparing the extracted historical target load information and the detected data information through a data fusion unit (358), analyzing the target state through a target state analysis module (359), and transmitting the analysis result into an electricity stealing analysis unit (37) through a system background information management module (31);
s6, the electricity stealing analysis unit (37) analyzes and extracts the load information data, the historical electricity utilization information data and the average electricity utilization data through the load information extraction module (371), the average electricity utilization data analysis module (372) and the load historical electricity utilization information extraction module (373), then transmits the load information data, the historical electricity utilization information data and the average electricity utilization data to the electricity stealing judgment module (374) to be judged through an evaluation algorithm, then evaluates an estimated value through the electricity stealing estimation module (375), transmits the estimated value to the application layer interaction terminal (11) to be analyzed, and if the load exceeds the standard, informs the electricity operation and maintenance alarm platform (33) to alarm, troubleshoot and maintain the corresponding load;
s7, in the whole system operation process, the central processing module (121) in the security protection unit (12) respectively controls the threat assessment module (123), the attack defense module (124), the encryption authentication module (125), the network protocol access control module (126), the privacy protection module (127) and the intrusion detection module (128) to perform security protection on the system.
10. The operating condition load analysis system based on the Internet of things of ubiquitous power sensors according to claim 9, wherein: in the step S4, the retrieval features in the keywords, the maximum limit value of the electric energy under the same working condition model, the historical target load information and the working algorithm are extracted and retrieved from the networking big database module (34).
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