CN110445875B - Intelligent substation auxiliary system comprehensive monitoring platform based on Internet of things architecture - Google Patents

Intelligent substation auxiliary system comprehensive monitoring platform based on Internet of things architecture Download PDF

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CN110445875B
CN110445875B CN201910756308.1A CN201910756308A CN110445875B CN 110445875 B CN110445875 B CN 110445875B CN 201910756308 A CN201910756308 A CN 201910756308A CN 110445875 B CN110445875 B CN 110445875B
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data
subsystem
characters
monitoring
bit
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CN110445875A (en
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刘春波
张长祥
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Jiayuan Technology Co Ltd
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Jiayuan Technology Co Ltd
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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
    • 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
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/04—Protocols for data compression, e.g. ROHC
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04S10/16—Electric power substations
    • 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
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Power Engineering (AREA)
  • Computer Security & Cryptography (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Alarm Systems (AREA)

Abstract

The utility model provides an intelligent substation auxiliary system synthesizes monitoring platform based on thing networking framework which characterized in that includes: an Internet of things module; a communication module; a control module; each subsystem, comprising: an environment monitoring subsystem; an intelligent image monitoring and visual intercom subsystem; an access control subsystem; an air-conditioning energy-saving and equipment control subsystem; SF6A monitoring alarm subsystem; a cable temperature monitoring and alarming subsystem; the control module includes: the protocol configuration module is used for controlling the work of each subsystem and module; the linkage configuration module is used for carrying out linkage operation among all the subsystems; the storage module is used for compressing and storing the data uploaded by each subsystem, and comprises: a blocking unit for blocking data; and the deduplication unit is used for deleting the repeated data blocks.

Description

Intelligent substation auxiliary system comprehensive monitoring platform based on Internet of things architecture
Technical Field
The application relates to the technical field of the next generation information network industry, in particular to an intelligent substation auxiliary system comprehensive monitoring platform based on an internet of things architecture.
Background
The auxiliary system is an important supporting system of the transformer substation and plays a role in daily, safe, reliable, operation and maintenance and driving protection for the transformer substation. The auxiliary system mainly comprises video monitoring, security guard, fire alarm, environment monitoring, SF6And related auxiliary subsystems such as gas leakage monitoring, door control, light, an air conditioner, a fan, a water pump and the like.
Compared with conventional substations, intelligent substations have higher requirements for auxiliary systems. The comprehensive monitoring platform for constructing the auxiliary system of the intelligent substation can realize the comprehensive monitoring of all the scattered subsystems of the auxiliary system, realize the integration and linkage of the subsystems and realize the remote transmission to a monitoring center (main station), thereby optimizing the overall management of the auxiliary system and better playing the role of the auxiliary system.
Because the number of auxiliary systems is large, the data volume uploaded during monitoring is huge, and the current comprehensive monitoring platform of the auxiliary system of the intelligent substation faces the problem of serious shortage of storage space.
Disclosure of Invention
In order to solve the problems in the related art, the application provides an intelligent substation auxiliary system comprehensive monitoring platform based on an internet of things architecture.
According to the embodiment of the application, an intelligent substation auxiliary system comprehensive monitoring platform based on an internet of things framework is provided, which is characterized by comprising:
the Internet of things module is used for providing Internet of things connection;
a communication module for providing a communication network connection;
the control module is used for uploading data to the master station system through the communication module and is connected with each subsystem through the Internet of things module;
each subsystem, comprising:
the environment monitoring subsystem is used for monitoring the working environment of the transformer substation site;
the intelligent image monitoring and visual talkback subsystem is used for acquiring images of a transformer substation site in real time and providing a talkback function for a user;
the access control subsystem is used for monitoring the access of the transformer substation site;
the air-conditioning energy-saving and equipment control subsystem is used for monitoring air-conditioning and ventilating light and water-consuming equipment on the transformer substation site;
SF6a monitoring alarm subsystem for monitoring SF of transformer substation site6A gas;
the cable temperature monitoring and alarming subsystem is used for monitoring the cable temperature of the transformer substation site;
the control module includes:
the protocol configuration module is used for controlling the work of each subsystem and module;
the linkage configuration module is used for carrying out linkage operation among all the subsystems;
the storage module is used for compressing and storing the data uploaded by each subsystem, and comprises: a blocking unit for blocking data; and the deduplication unit is used for deleting the repeated data blocks.
Preferably, the blocking unit blocks the data by:
creating a pattern fingerprint with a bit operation;
matching the pattern fingerprint with the data;
and partitioning at the matched position.
Preferably, creating the pattern fingerprint with a bit operation includes:
constructing a pattern string P ═ b1,b2,b3,…bm]Wherein b isi(i from 1 to m) is a binary string of each character in the pattern string, the number of bits in the binary string being t;
setting data fingerprint f (S)i) To be b1,b2,b3,…bmIs combined, where i takes the 1-t bits of the binary string.
Preferably, matching the pattern fingerprint to the data comprises:
j-th data block M of incoming datajDividing;
step 1: from Mj-1The end mark jumps to the right by k characters;
step 2: left-aligning the current bit with P;
and step 3: taking m characters to the right from the first position of the data aligned with P;
and 4, step 4: taking the ith bit component X from the m characters takentIs mixing XtAnd f (S)i) And (5) comparing the two, wherein i is from 1 to t.
Preferably, matching the pattern fingerprint with the data further comprises:
step 6: if i is from 1 to t, all satisfy Xt＝f(Si) Then the last bit in the data currently aligned with P is marked as MjThe end bit of (1).
Preferably, matching the pattern fingerprint with the data further comprises:
and 7: if the two characters are different, continuing to skip k characters to the right, and returning to the step 2;
step 8, go back to step 2 to L times, then mark the last bit in the data currently aligned with P as MjThe end bit of (1).
Preferably, matching the pattern fingerprint to the data comprises:
j-th data block M of incoming datajDividing;
step 1: fromMj-1The end mark jumps to the right by k characters;
step 2: left-aligning the current bit with P;
and step 3: taking r characters from the first position of the data after being aligned with P to the right, wherein r is far smaller than m;
and 4, step 4: taking the ith bit component X from the taken r charactersirThen, then
Step 4.1: f (S)ir) Is shifted to the right by r to obtain f (S)ir) Is mixing XirAnd f (S)ir) Comparing one by one, wherein i is from 1 to t;
step 4.2 if the occurrence of the dissimilarity is not the same, SH L f is executed (S)ir) 1, then go back to step 4.1;
step 4.3: if the step 4.1 is returned to m-r times, returning to the step 2;
step 4.3: if i is from 1 to t, all satisfy Xtr＝f(Sir) Step 5 is entered.
Preferably, matching the pattern fingerprint with the data further comprises:
and 5: taking m characters to the right from the first position of the data aligned with P;
step 6: taking the ith bit component X from the m characters takentIs mixing XtAnd f (S)i) And (5) comparing the two, wherein i is from 1 to t.
Preferably, matching the pattern fingerprint with the data further comprises:
and 7: if i is from 1 to t, all satisfy Xt＝f(Si) Then the last bit in the data currently aligned with P is marked as MjThe end bit of (1).
Preferably, matching the pattern fingerprint with the data further comprises:
and 8: if the two characters are different, continuing to skip k characters to the right, and returning to the step 2;
step 9, go back to step 2 to L times, mark the last bit in the data currently aligned with P as MjThe end bit of (1).
The technical scheme provided by the embodiment of the application can have the following beneficial effects: the invention provides an efficient big data storage scheme, and solves the problem that in the prior art, the storage space in an intelligent substation auxiliary system comprehensive monitoring platform based on an Internet of things architecture is insufficient.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a block diagram illustrating an intelligent substation auxiliary system integrated monitoring platform based on an internet of things architecture according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
The following disclosure provides many different embodiments, or examples, for implementing different features of the application. In order to simplify the disclosure of the present application, specific example components and arrangements are described below. Of course, they are merely examples and are not intended to limit the present application. Further, the present application may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. Further, examples of various specific processes and materials are provided herein, but one of ordinary skill in the art may recognize the applicability of other processes and/or the use of other materials. In addition, the structure of a first feature described below as "on" a second feature may include embodiments in which the first and second features are formed in direct contact, and may also include embodiments in which additional features are formed between the first and second features, such that the first and second features may not be in direct contact.
In the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" are to be interpreted broadly, and may be, for example, a mechanical connection or an electrical connection, a communication between two elements, a direct connection, or an indirect connection via an intermediate medium, and specific meanings of the terms may be understood by those skilled in the art according to specific situations.
Fig. 1 is a block diagram illustrating an intelligent substation auxiliary system integrated monitoring platform based on an internet of things architecture according to an exemplary embodiment. Referring to fig. 1, an intelligent substation auxiliary system integrated monitoring platform 100 includes:
the internet of things module 110 is used for providing internet of things connection so as to meet the requirement of a communication hardware interface of a subsystem of the intelligent substation and has the functions of collecting and controlling command concurrency of different subsystems;
a communication module 120 for providing a communication network connection;
a control module 130, configured to upload data to the master station system 300 through the communication module 120, and connect each subsystem through the internet of things module 110;
each subsystem, comprising:
the environment monitoring subsystem is used for monitoring the working environment of the transformer substation site 200; the environment monitoring subsystem host is arranged in a monitoring room, and can monitor certain important places and working environments (such as voltage, current, temperature, humidity, water leakage, water level, harmful gas, oxygen content, wind speed and direction, smoke, open fire and the like) of equipment in real time by using the auxiliary control host of our company through the application of collection and transmission technologies; when the working environment is abnormal, the system can display and alarm in time, and can upload data to the city-level and provincial dispatching centers through the communication IP network. The subsystem consists of two parts, namely an equipment terminal and a system platform, wherein the equipment terminal mainly comprises an auxiliary control host and various sensors. The system platform can display the size or state of the monitored quantity, the real-time value of the monitored quantity or the occurrence of various faults on a computer visually.
The intelligent image monitoring and visual talkback subsystem is used for acquiring images of the transformer substation site 200 in real time and providing a talkback function for a user; the intelligent image monitoring and visual intercom system of the transformer substation is based on digital hard disk video recorder hardware equipment, and executes powerful system functions by taking network video centralized monitoring system management software as a core. Currently, the full series of digital monitoring and network camera equipment of Haikang and Dahua are supported.
The access control subsystem is used for monitoring the access of the substation site 200; the access control system is an intelligent management system which is based on modern electronic and information technology, is provided with an automatic identification system at an entrance and an exit of a transformer substation, and performs operations such as releasing, refusing, recording and the like through the entrance and the exit of people (or objects). The system utilizes a non-contact intelligent card or fingerprint to replace the traditional laggard mode of manually checking the release of certificates and opening a door by a key, the system automatically identifies identity information and access control authority information on the intelligent card, a card holder can automatically open the door and allow the entrance and exit only after swiping the card at an access control point with authority at the set time, otherwise, the door is opened and an alarm signal is output to refuse to open the door for illegal intrusion. Because the access control authority can be changed at any time, no matter how the personnel change and flow, the access control authority can be updated in time, and the risk of embezzlement in the process of opening the door by a key does not exist. Meanwhile, the entrance guard access record is stored in time, and a direct basis can be provided for investigation of security incidents.
The air-conditioning energy-saving and equipment control subsystem is used for monitoring air-conditioning and ventilating light and water-consuming equipment of the transformer substation site 200; the system provides the control function of equipment such as air conditioner, fan, light and water pump. The automatic linkage function of the system is realized on the auxiliary control host, and the functions of alarming, linkage, recording and the like of the system are not influenced under the conditions of network disconnection, server failure, software shutdown and the like.
SF6A monitoring alarm subsystem for monitoring SF of the transformer substation site 2006A gas; the sulfur hexafluoride monitoring and alarming subsystem is an intelligent online monitoring and early warning system which is designed and developed for providing personal health and safety protection for workers in a power distribution device room provided with SF6 equipment according to the situation that a power system emphasizes safe production. The system mainly detects the SF6 gas content and the oxygen content in the ambient air, can give an alarm in real time when the SF6 gas content in the environment exceeds the standard or is lack of oxygen, simultaneously automatically starts the ventilator for ventilation, is linked with acousto-optic alarm to prompt personnel to forbid entering, and has a plurality of rich functions of temperature and humidity detection, working state prompt, remote transmission alarm, historical alarm data query and the like. The unique trace SF6 gas detection technology of the system can detect SF6 gas with the concentration of 1000ppm, not only can the purpose of ensuring personal safety be achieved, but also normal operation of equipment can be ensured; the oxygen sensor with high stability at the inlet can provide more layers of reliable protection for field workers. The subsystem is mainly applied to a 35KVSF6 switch room and 500KV, 220KV and 110KVGIS rooms in a transformer substation.
The cable temperature monitoring and alarming subsystem is used for monitoring the cable temperature of the transformer substation site 200; the transformer substation cable temperature monitoring and early warning system monitors the operating temperature of a cable in real time by adopting a contact type measurement principle. The system displays the measured value and the change trend of the temperature on the main station in the forms of numerical values, curves, bar graphs, simulation graphs and the like, and provides a basis for judging faults.
The control module 130 includes:
a protocol configuration module 134 for controlling the operation of each subsystem and module;
a linkage configuration module 132 for performing linkage operations among the subsystems;
the storage module 136 is configured to compress and store data uploaded by each subsystem, and includes: a blocking unit for blocking data; and the deduplication unit is used for deleting the repeated data blocks.
On the comprehensive monitoring platform of the intelligent substation auxiliary system based on the Internet of things architecture, data uploaded by each subsystem in each time period form a file, and each file is slightly different from the whole file. However, the inventors have found that if each file is suitably divided into a plurality of data blocks, most of the data blocks are identical except that the individual data blocks are not identical.
For example, video surveillance files for each time period are generally the same except that the data blocks of the header part of the file recording the time are different, and the data blocks recorded individually to the time period in which a person is active are different, and the data blocks of other parts are the same.
In the embodiment, the data uploaded by each subsystem is stored in a blocking and duplicate removal mode, so that when a new file is received, the new file is firstly divided into a plurality of data blocks, the data blocks are compared with the data blocks in the system in a duplicate checking ratio, if the issued data blocks are completely the same, the same data block of the new file is not stored repeatedly, and only one pointer is reserved to point to the repeated data block. The efficient storage mode solves the problem that in the prior art, the storage space in the intelligent substation auxiliary system comprehensive monitoring platform based on the Internet of things architecture is insufficient.
Preferably, the blocking unit blocks the data by:
creating a pattern fingerprint with a bit operation;
matching the pattern fingerprint with the data;
and partitioning at the matched position.
The computer CPU features high efficiency of executing bit operation and low system overhead. The preferred embodiment adopts bit operation to create the mode fingerprint, thereby improving the comparison efficiency and being beneficial to processing the monitoring data of the transformer substation auxiliary system with huge data volume.
Preferably, creating the pattern fingerprint with a bit operation includes:
constructing a pattern string P ═ b1,b2,b3,…bm]Wherein b isi(i from 1 to m) is a binary string of each character in the pattern string, the number of bits in the binary string being t;
setting data fingerprint f (S)i) To be composed ofb1,b2,b3,…bmIs combined, where i takes the 1-t bits of the binary string.
Preferably, matching the pattern fingerprint to the data comprises:
j-th data block M of incoming datajDividing;
step 1: from Mj-1The end mark jumps to the right by k characters;
step 2: left-aligning the current bit with P;
and step 3: fetching m characters to the left from the last position aligned with P in the data;
and 4, step 4: taking the ith bit component X from the m characters takentIs mixing XtAnd f (S)i) And (5) comparing the two, wherein i is from 1 to t.
Step 6: if i is from 1 to t, all satisfy Xt＝f(Si) Then the last bit in the data currently aligned with P is marked as MjThe end bit of (1).
And 7: if the two characters are different, continuing to skip k characters to the right, and returning to the step 2;
step 8, go back to step 2 to L times, then mark the last bit in the data currently aligned with P as MjThe end bit of (1).
In the above comparison method, the comparison based on the pattern character string P is realized, the data blocking of the file can be completed very efficiently, and the method is particularly suitable for executing the preferred embodiment by using the CPU.
Preferably, matching the pattern fingerprint to the data comprises:
j-th data block M of incoming datajDividing;
step 1: from Mj-1The end mark jumps to the right by k characters;
step 2: left-aligning the current bit with P;
and step 3: taking r characters from the first position of the data after being aligned with P to the right, wherein r is far smaller than m;
and 4, step 4: taking the ith bit component X from the taken r charactersirThen, then
Step 4.1:f (S)ir) Is shifted to the right by r to obtain f (S)ir) Is mixing XirAnd f (S)ir) Comparing one by one, wherein i is from 1 to t;
step 4.2 if the occurrence of the dissimilarity is not the same, SH L f is executed (S)ir) 1, then go back to step 4.1;
step 4.3: if the step 4.1 is returned to m-r times, returning to the step 2;
step 4.3: if i is from 1 to t, all satisfy Xtr＝f(Sir) Step 5 is entered.
And 5: fetching m characters to the left from the last position aligned with P in the data;
step 6: taking the ith bit component X from the m characters takentIs mixing XtAnd f (S)i) And (5) comparing the two, wherein i is from 1 to t.
And 7: if i is from 1 to t, all satisfy Xt＝f(Si) Then the last bit in the data currently aligned with P is marked as MjThe end bit of (1).
And 8: if the two characters are different, continuing to skip k characters to the right, and returning to the step 2;
step 9, go back to step 2 to L times, mark the last bit in the data currently aligned with P as MjThe end bit of (1).
In the comparison method, fingerprint comparison is performed only by taking the data volume of which r is far less than m, so that the comparison volume is further obviously reduced, the data partitioning of the file can be completed efficiently, and the method is particularly suitable for the extremely huge data volume of the intelligent substation auxiliary system.
The data blocks are divided into a certain flexibility, mainly the upper limit is controlled, the data blocks are divided into small blocks, and the method is suitable for scenes with huge data volume and small storage space.
The applicant also designs a plurality of preferred embodiments that are compared from right to left, and the size of the data block is ensured to be not less than L× k characters and not more than 2 L× (k +1) characters
Preferably, creating the pattern fingerprint with a bit operation includes:
constructing a pattern string P ═ b1,b2,b3,…bm]Wherein b isi(i from 1 to m) is a binary string of each character in the pattern string, the number of bits in the binary string being t;
setting data fingerprint f (S)i) To be b1,b2,b3,…bmIs combined, where i takes the t-1 th bit of the binary string.
Preferably, matching the pattern fingerprint to the data comprises:
j-th data block M of incoming datajDividing;
step 1: from Mj-1The end marker jumps to the right by 2 L× (k +1) characters;
step 2: aligning the current bit with Pright;
and step 3: fetching m characters to the left from the last position aligned with P in the data;
and 4, step 4: taking the ith bit component X from the m characters takentIs mixing XtAnd f (S)i) And (5) comparing the two, wherein i is from 1 to t.
Preferably, matching the pattern fingerprint with the data further comprises:
step 6: if i is from 1 to t, all satisfy Xt＝f(Si) Then the last bit in the data currently aligned with P is marked as MjThe end bit of (1).
Preferably, matching the pattern fingerprint with the data further comprises:
and 7: if the two characters are different, continuing to skip k characters to the left, and returning to the step 2;
step 8, go back to step 2 to L times, then mark the last bit in the data currently aligned with P as MjThe end bit of (1).
Preferably, matching the pattern fingerprint to the data comprises:
j-th data block M of incoming datajDividing;
step 1: from Mj-1The end marker jumps to the right by 2 L× (k +1) characters;
step 2: aligning the current bit with Pright;
and step 3: taking r characters to the left from the last position aligned with P in the data, wherein r is far smaller than m;
and 4, step 4: taking the ith bit component X from the taken r charactersirThen, then
Step 4.1: f (S)ir) The last position of the first column is shifted to the left by r to obtain f (S)ir) Is mixing XirAnd f (S)ir) Comparing one by one, wherein i is from 1 to t;
step 4.2: if not, SHR f is executed (S)ir) 1, then go back to step 4.1;
step 4.3: if the step 4.1 is returned to m-r times, returning to the step 2;
step 4.3: if i is from 1 to t, all satisfy Xtr＝f(Sir) Step 5 is entered.
Preferably, matching the pattern fingerprint with the data further comprises:
and 5: fetching m characters to the left from the last position aligned with P in the data;
step 6: taking the ith bit component X from the m characters takentIs mixing XtAnd f (S)i) And (5) comparing the two, wherein i is from 1 to t.
Preferably, matching the pattern fingerprint with the data further comprises:
and 7: if i is from 1 to t, all satisfy Xt＝f(Si) Then the last bit in the data currently aligned with P is marked as MjThe end bit of (1).
Preferably, matching the pattern fingerprint with the data further comprises:
and 8: if the two characters are different, continuing to skip k characters to the left, and returning to the step 2;
step 9, go back to step 2 to L times, then align the last bit mark currently aligned with P in the dataIs marked as MjThe end bit of (1).
The preferred embodiment described above achieves a right to left alignment.
Preferably, the data size is 2048 at L k, which is set by the applicant empirically, and space and efficiency can be well balanced.
Preferably, the Internet of things adopts at least one of P L C (Power L IneCarrier ), FSK (micro Power Wireless communication), RS485, M-BUS (Meter-BUS), zigbee (Zigbee), L oRa and NB-IoT.
The preferred embodiment supports the mainstream internet of things in the market at present, so that the technical scheme is popularized and applied as much as possible.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims (8)

1. The utility model provides an intelligent substation auxiliary system synthesizes monitoring platform based on thing networking framework which characterized in that includes:
the Internet of things module is used for providing Internet of things connection;
a communication module for providing a communication network connection;
the control module is used for uploading data to the master station system through the communication module and is connected with each subsystem through the Internet of things module;
each subsystem, comprising:
the environment monitoring subsystem is used for monitoring the working environment of the transformer substation site;
the intelligent image monitoring and visual talkback subsystem is used for acquiring images of a transformer substation site in real time and providing a talkback function for a user;
the access control subsystem is used for monitoring the access of the transformer substation site;
the air-conditioning energy-saving and equipment control subsystem is used for monitoring air-conditioning and ventilating light and water-consuming equipment on the transformer substation site;
SF6a monitoring alarm subsystem for monitoring SF of transformer substation site6A gas;
the cable temperature monitoring and alarming subsystem is used for monitoring the cable temperature of the transformer substation site;
the control module includes:
the protocol configuration module is used for controlling the work of each subsystem and module;
the linkage configuration module is used for carrying out linkage operation among all the subsystems;
the storage module is used for compressing and storing the data uploaded by each subsystem, and comprises: a blocking unit for blocking data; a deduplication unit, configured to delete duplicate data blocks;
wherein the blocking unit blocks the data, including:
creating a pattern fingerprint with a bit operation;
matching the pattern fingerprint with the data;
partitioning at the matched positions;
wherein creating a pattern fingerprint with a bit operation comprises:
construction pattern string P = [ b ]1,b2,b3,… bm]Wherein b isi(i from 1 to m) is a binary string of each character in the pattern string, the number of bits in the binary string being t;
setting data fingerprint f (S)i) To be b1,b2,b3,… bmIs combined, where i takes the 1-t bits of the binary string.
2. The intelligent substation auxiliary system integrated monitoring platform of claim 1, wherein matching pattern fingerprints with data comprises:
j-th data block M of incoming datajDividing;
step 1: from Mj-1The end mark jumps to the right by k characters;
step 2: left-aligning the current bit with P;
and step 3: taking m characters to the right from the first position of the data aligned with P;
and 4, step 4: taking the ith bit component X from the m characters takentIs mixing XtAnd f (S)i) And (5) comparing the two, wherein i is from 1 to t.
3. The intelligent substation auxiliary system integrated monitoring platform of claim 2, wherein matching pattern fingerprints with data further comprises:
step 6: if i is from 1 to t, all satisfy Xt=f(Si) Then the last bit in the data currently aligned with P is marked as MjThe end bit of (1).
4. The intelligent substation auxiliary system integrated monitoring platform of claim 3, wherein matching pattern fingerprints with data further comprises:
and 7: if the two characters are different, continuing to skip k characters to the right, and returning to the step 2;
step 8, go back to step 2 to L times, then mark the last bit in the data currently aligned with P as MjThe end bit of (1).
5. The intelligent substation auxiliary system integrated monitoring platform of claim 1, wherein matching pattern fingerprints with data comprises:
j-th data block M of incoming datajDividing;
step 1: from Mj-1The end mark jumps to the right by k characters;
step 2: left-aligning the current bit with P;
and step 3: taking r characters from the first position of the data after being aligned with P to the right, wherein r is far smaller than m;
and 4, step 4: taking the ith bit component X from the taken r charactersirThen, then
Step 4.1: f (S)ir) Is shifted to the right by r to obtain f (S)ir) Is mixing XirAnd f (S)ir) Comparing one by one, wherein i is from 1 to t;
step 4.2 if the occurrence of the dissimilarity is not the same, SH L f is executed (S)ir) 1, then go back to step 4.1;
step 4.3: if the step 4.1 is returned to m-r times, returning to the step 2;
step 4.3: if i is from 1 to t, all satisfy Xtr=f(Sir) Step 5 is entered.
6. The intelligent substation auxiliary system integrated monitoring platform of claim 5, wherein matching pattern fingerprints with data further comprises:
and 5: taking m characters to the right from the first position of the data aligned with P;
step 6: taking the ith bit component X from the m characters takentIs mixing XtAnd f (S)i) And (5) comparing the two, wherein i is from 1 to t.
7. The intelligent substation auxiliary system integrated monitoring platform of claim 6, wherein matching pattern fingerprints with data further comprises:
and 7: if i is from 1 to t, all satisfy Xt=f(Si) Then the last bit in the data currently aligned with P is marked as MjThe end bit of (1).
8. The intelligent substation auxiliary system integrated monitoring platform of claim 7, wherein matching pattern fingerprints with data further comprises:
and 8: if the two characters are different, continuing to skip k characters to the right, and returning to the step 2;
step 9, go back to step 2 to L times, mark the last bit in the data currently aligned with P as MjThe end bit of (1).
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