CN112421454A - Substation equipment diagnosis and maintenance platform based on Internet of things - Google Patents
Substation equipment diagnosis and maintenance platform based on Internet of things Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B3/00—Apparatus specially adapted for the manufacture, assembly, or maintenance of boards or switchgear
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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
Abstract
The invention discloses a transformer equipment diagnosis and maintenance platform based on the Internet of things, relates to the technical field of auxiliary diagnosis and maintenance of transformer equipment, and particularly relates to a transformer equipment diagnosis and maintenance platform which comprises: server and intelligent terminal. According to the power transformation equipment diagnosis and maintenance platform based on the Internet of things, the platform is installed on a uniformly distributed tablet personal computer, equipment information tables of the same manufacturer, the same model and the same batch in transportation can be directly generated, the fault condition of equipment is covered, and the diagnosis and the qualification of equipment faults by a tester are facilitated. The maintenance of the fault library is realized by a fault maintenance plate, and an equipment fault report and an emergency disposal scheme are generated by field fault disposal personnel and are finally issued through examination and approval at all levels. The equipment state evaluation plate comprises state scores of all equipment in transport and comprehensive scores of equipment manufacturers, and the scoring system is realized by a created equipment multi-parameter model on the basis of equipment fault library data by adopting a data mining technology.
Description
Technical Field
The invention relates to the technical field of auxiliary diagnosis and maintenance of power transformation equipment, in particular to a power transformation equipment diagnosis and maintenance platform based on the Internet of things.
Background
The fault diagnosis of the power transformation equipment is a difficult point in equipment maintenance, and is a key point, which is the important point in equipment state maintenance, an electrical maintenance test professional is a doctor of the equipment, and needs hard professional theoretical knowledge and sufficient diagnosis experience to realize accurate study and maintenance of the equipment, and the current electrical maintenance test personnel lack a book, namely the book is named as 'materia medica compendium', namely, the electrical maintenance test personnel are helped to master complete data such as manufacture, delivery, handover, commissioning, fault diagnosis, maintenance records and the like of query equipment in time through advanced means such as big data, a cloud platform, intelligent information equipment and the like, so that the accurate study and judgment on the operation condition of the electrical equipment are realized, and a defect elimination scheme is rapidly formulated.
The electric power supply enterprise provides a proposal for accelerating the maintenance work in a propulsion state as early as 2006, the development has been in more than ten years to date, but the expected effect is not achieved, and the key point is that an effective and reasonable equipment state evaluation system is lacked; secondly, with the development of a power grid, the number of transformer stations increases year by year, the total amount of power transformation equipment is larger and larger, the bearing capacity of a team and a team in the first-line production is more and more insufficient, the quality of new equipment is uneven, the failure rate is obviously increased in comparison with the previous year, the personnel of the team and the team flow rapidly, and the technical quality cannot be guaranteed; in addition, as is well known, equipment maintenance focuses on experience accumulation, maintenance of various network provinces and testers lack an exchange platform, experience sharing is difficult to achieve, and timeliness and flexibility are lacked only by compiling a fault manual; finally, the running state of the equipment is difficult to be fed back to the equipment purchasing link completely, so that inferior products cannot be effectively prevented from entering the purchasing link. The production line is a tool user, and a perfect system is lacked today to guide the purchase of tools and test instruments, so that the material waste, the cost increase and the benefit reduction are caused.
The invention discloses an invention patent of an electric power tool high-efficiency management system realized by an internet of things platform based on an MQTT technology, which is an application number 201711059322.3, provides an electric power tool high-efficiency management system realized by an internet of things platform based on an MQTT technology, and comprises: the system comprises an electric power tool, an Internet of things node subsystem, a cloud server and a management center; the node subsystem of the Internet of things comprises nodes of the Internet of things, and the node subsystem of the Internet of things is in communication connection with the cloud server by adopting an MQTT protocol and is used for synchronizing information acquired from the nodes of the Internet of things to the cloud server; the management center is used for managing the ex-warehouse and in-warehouse information of the electric power tools and synchronizing the ex-warehouse, in-warehouse information and the inventory information to the cloud server; and the cloud server is used for receiving, storing and processing information sent by the Internet of things node subsystem and the management center. The system provided by the invention constructs the Internet of things through the MQTT technology, realizes identification, positioning and tracking of tools and appliances, and ensures convenience, high efficiency and safety of electric power construction personnel in the process of using the electric power tools and appliances.
The patent mainly solves the management problems of the electric power tools, such as warehousing and delivery and tool positioning, does not identify the state of a management object, and does not evaluate the management object for guiding subsequent purchase.
The invention relates to an application number 201910879675.0, which is named as a system and a method for rapidly detecting and maintaining the faults of power grid equipment, and discloses a system and a method for rapidly detecting and maintaining the faults of the power grid equipment, wherein the system comprises an equipment layer, a platform layer and an edge layer, fault detection models required by various power grid equipment and calculation rules of data of the fault detection models are packaged into Docker mirror images in advance and uploaded to corresponding Docker mirror image pools, and the equipment can download the corresponding Docker mirror images to operate and complete related configuration as required when being connected to the platform; and according to the data volume of the equipment and the state of the edge nodes, an optimal edge node combination is selected by utilizing an optimization algorithm, the equipment data is rapidly processed to obtain a diagnosis result, and an optimal maintenance scheme is given based on the result. The invention aims to meet the requirements of high efficiency and real time required by the maintenance of the power grid equipment and realizes the rapid detection and maintenance of equipment faults.
The patent is a device diagnosis and detection method based on data, data are difficult to form for some empirical device faults based on some data serving as supports, an empirical judgment method is particularly important in actual production as a diagnosis and maintenance method, diagnosis experience is gradually accumulated, and the diagnosis method is mined through the diagnosis experience, so that the method is a shortcut for rapidly improving diagnosis speed.
Disclosure of Invention
The invention provides a transformer equipment diagnosis and maintenance platform based on the Internet of things, which is used for solving the problem of few auxiliary means during field diagnosis of transformer equipment.
The invention adopts the following technical scheme:
the utility model provides a transformer equipment diagnoses overhauls platform based on thing networking, includes: the system comprises a server and an intelligent terminal, wherein the server is used for storing substation account information of the power transformation equipment, the intelligent terminal is used for inputting and looking up the substation account information of the power transformation equipment stored on the server, and the intelligent terminal is in communication connection with the server;
the intelligent terminal is provided with a camera and an RFID card reader, the camera is used for collecting barcode or two-dimensional code image information, and the RFID card reader is used for collecting electronic tag information.
Furthermore, the intelligent terminal is provided with an equipment query module, the equipment query module is used for converting received equipment attribute query information and equipment fault early warning query information into an equipment query request, the intelligent terminal sends the equipment query request from the equipment query module to the server, the server sends query result data to the intelligent terminal according to the equipment query request from the intelligent terminal, and the equipment query module is further used for displaying the equipment attribute information and the equipment fault early warning information query result.
Furthermore, the intelligent terminal is further provided with a fault maintenance module, the fault maintenance module is used for converting two-dimensional code information acquired by the camera or electronic tag information acquired by the RFID card reader into equipment number information, the fault maintenance module is further used for receiving input power transformation equipment fault data, the intelligent terminal is further used for sending the equipment number information and the power transformation equipment fault data from the fault maintenance module to the server, and the server is further used for storing the equipment number information and the power transformation equipment fault data.
Furthermore, the intelligent terminal is further provided with a state evaluation module, the state evaluation module is used for forming a manufacturer state evaluation score and an equipment state evaluation score according to the equipment fault data history record from the server, the intelligent terminal is further used for sending the manufacturer state evaluation score and the equipment state evaluation score to the server, and the server is further used for storing the manufacturer state evaluation score and the equipment state evaluation score.
Furthermore, the intelligent terminal is further provided with a typical fault learning module, and the typical fault learning module is used for displaying typical fault data of the power transformation equipment and accident emergency treatment scheme data from the server.
Furthermore, the intelligent terminal is provided with a system login module, the system login module is used for converting received account information and password information into login request information, the intelligent terminal is further used for sending the login request information to the server, and the server is further used for sending login permission or refusal information to the intelligent terminal according to the login request information from the intelligent terminal.
Furthermore, the intelligent terminal is provided with a system management module, and the system management module is used for editing the manufacturer state score, the equipment state score, the account information and the password information which are stored in the server.
Furthermore, the intelligent terminal is provided with an equipment attribute input module, the equipment attribute input module is used for converting received equipment attribute input information into an equipment attribute input request, the intelligent terminal is used for sending the equipment attribute input request to the server, and the server is used for converting the equipment attribute input request from the intelligent terminal into equipment attribute information and storing the equipment attribute information.
Furthermore, the intelligent terminal is provided with an approval management module, the approval management module is used for sending approval data to the approval nodes, the intelligent terminal is further used for sending the approval data after approval to the server, and the server is used for storing the approval data after approval.
Furthermore, the intelligent terminal is provided with an electronic tag writing module, the electronic tag writing module is used for converting the equipment fault data and the equipment serial number information into electronic tag data, and the intelligent terminal is further used for writing the electronic tag data into an electronic tag through the RFID card reader.
The invention has the following positive effects:
the utility model provides a transformer equipment diagnoses overhauls platform based on thing networking, includes: server and intelligent terminal.
According to the power transformation equipment diagnosis and maintenance platform based on the Internet of things, an accurate database is provided by a server arranged on the Internet, the portability of an intelligent terminal is relied, the number information of the power transformation equipment is rapidly identified by an electronic tag or a two-dimensional code in the prior art, the attributes of fault equipment are rapidly inquired by a tester through the portable intelligent terminal, the equipment attributes comprise various equipment attributes including equipment models, manufacturers, purchase dates, delivery dates, faults, solution history records and the like, and the tester can conduct targeted investigation by checking the equipment attributes, so that the diagnosis and maintenance time is shortened; the examiner can also perform an extended search according to the device attributes, such as searching for the device attributes of the same model or searching for the device attributes of the same type, and perform a key investigation on the parts with reference significance by looking up the diagnosis method and the solution record of the extended search device. Through the fault diagnosis platform, the on-site accident diagnosis is more efficient, and the equipment maintenance level is greatly improved. Effectively reduce cost expenditures such as personnel, vehicle, the most important can improve the fault handling time, reduces the power off time.
The intelligent terminal is provided with a fault maintenance module, after the fault maintenance module checks the work of a tester, an entry of a work record is filled, the fault maintenance module stores the received fault record into the server database, and if the equipment has a fault again, the fault maintenance module can look up the current maintenance record to be used as a reference during diagnosis. The fault maintenance module is provided with a fault type selection interface, so that input operation of a tester is omitted, the description is not standard, and the fault maintenance module is convenient to retrieve according to the fault type. The scoring module of the intelligent terminal can also score the work according to the fault options, and the work of the examination personnel can be conveniently examined. And the fault diagnosis option is also used as a scoring basis of the equipment to evaluate the equipment state and provide reference for subsequent equipment purchase.
The intelligent terminal is provided with a state evaluation module, the evaluation module comprehensively evaluates equipment in use through a scientific evaluation method, and the algorithm is scientific; through the supporting function of equipment state evaluation, the bidding purchasing link is guided, inferior products can be effectively prevented from flowing into the system, bad manufacturers are effectively restricted, and the manufacturers concentrate more on equipment quality and process improvement rather than price.
The intelligent terminal is provided with a typical fault learning module which covers contents such as typical faults of the power transformation equipment, emergency accident handling schemes and the like, the module is favorable for accelerating the improvement of the service skill level of personnel, and the inspection and test personnel can easily exchange and share experience through the platform.
The intelligent terminal is provided with a login module, and the system can be used only after the verification of the system login module, so that the system is safer to use; the terminal is also provided with a system management module which is used for editing data stored on the server and correcting error data such as factory state scores, equipment state scores, account information, password information and the like.
The intelligent terminal is further provided with an approval management module for transferring and approving some data needing to be approved, and if the fault maintenance records generated by the fault maintenance module are approved by the approval module, the data are stored in the server.
The equipment attribute input module of the intelligent terminal is convenient for managing equipment attribute information, particularly newly purchased equipment attributes, and when the equipment attribute information is input in a mode of acquiring the information through a camera or an RFID card reader of the intelligent terminal, the equipment attribute input module is quicker and more accurate in information; the approval management module is used for transferring and approving data needing to be approved, and process management is facilitated.
The intelligent terminal is provided with an electronic tag writing module, the electronic tag is used for identifying simple equipment information such as equipment failure maintenance date, next maintenance-required date and equipment number information, and the intelligent terminal is provided with the electronic tag writing module, so that the electronic tag can be rewritten, and the complicacy of rewriting and registering the paper tag is avoided.
The power transformation equipment diagnosis and maintenance platform based on the Internet of things can be applied to power transformation equipment in the whole network operation, the platform is installed on a field operation tablet personal computer which is uniformly distributed by provincial companies, and the fault equipment ID two-dimensional code is scanned, so that equipment information tables of the same manufacturer, the same model and the same batch in the whole network operation can be directly generated, the fault condition of the equipment is covered, and the diagnosis and the qualification of the equipment fault by a tester can be conveniently and accurately carried out. The maintenance of the fault library is realized by a fault maintenance plate, and an equipment fault report and an emergency disposal scheme are generated by field fault disposal personnel and are finally issued through examination and approval at all levels. The equipment state evaluation plate comprises state scores of all equipment in transport and comprehensive scores of equipment manufacturers, and the scoring system is realized by a created equipment multi-parameter model on the basis of equipment fault library data by adopting a data mining technology. The typical fault board block comprises various equipment typical faults, familial defect reports, emergency treatment typical experiences and the like, a study park is created for testers, typical experience sharing is achieved, and the business skill level of employees is improved. The system management can realize the functions of user management, state evaluation equipment information management and the like.
Drawings
FIG. 1 is a functional block diagram of an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the detailed description and specific examples, while indicating the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, a transformer equipment diagnosis and overhaul platform based on internet of things includes: the system comprises a server and an intelligent terminal, wherein the server is used for storing substation account information of the power transformation equipment, the intelligent terminal is used for inputting and looking up the substation account information of the power transformation equipment stored on the server, and the intelligent terminal is in communication connection with the server;
the intelligent terminal is provided with a camera and an RFID card reader, the camera is used for collecting barcode or two-dimensional code image information, and the RFID card reader is used for collecting electronic tag information.
Furthermore, the intelligent terminal is provided with an equipment query module, the equipment query module is used for converting received equipment attribute query information and equipment fault early warning query information into an equipment query request, the intelligent terminal sends the equipment query request from the equipment query module to the server, the server sends query result data to the intelligent terminal according to the equipment query request from the intelligent terminal, and the equipment query module is further used for displaying the equipment attribute information and the equipment fault early warning information query result.
More specifically, the platform comprises a server and an intelligent terminal which are arranged on the internet, and in the embodiment, the intelligent terminal is a field operation tablet personal computer and is special for special objects. The platform forms a basic database according to the transformer equipment standing book information, and the basic database comprises basic information such as equipment delivery data, bidding batches, equipment nameplates, equipment IDs and the like.
If the report is identified according to the equipment family defect analysis, forming a family defect database; such as generating an equipment fault database from the equipment fault diagnostic reports.
The platform application mode is a tablet computer terminal software application, and a database on a server is accessed by operating a tablet computer. An important item applied by the terminal is an equipment query function, the equipment query function forms a platform equipment basic information database by querying transformer equipment ledger, equipment fault diagnosis reports, familial defects, equipment fault early warning and other information, and all information of equipment in operation in the whole network can be queried by searching key fields of equipment type, equipment model, commissioning date, manufacturer and the like in an equipment query function area.
When the power transformation equipment breaks down, a tester can scan the real object ID two-dimensional code of the faulty equipment and can scan the electronic tag to obtain the equipment number information of the faulty equipment, then the equipment is inquired in an equipment inquiry module, the inquiry result can display a plurality of equipment attributes including the equipment model, the manufacturer, the purchase date, the commissioning date, the fault, the solution historical record and the like, the tester can know the faulty equipment overall by inquiring the attributes of the faulty equipment, particularly, the part where the fault happens can be mainly checked by checking the fault and the solution historical record, and the fault point of the common equipment usually happens repeatedly at a plurality of common points, so that the diagnosis and maintenance time can be greatly shortened.
In addition, the equipment query module can also perform expanded search by querying the information, for example, the attribute of equipment in operation with the same model, the fault of the equipment in operation with the same model and the solution history can be searched according to the model; if searching is carried out according to the equipment fault phenomenon, finding out a diagnosis method and a solution for similar fault phenomena of the same type of equipment; the contact way of a manufacturer can be found through the attribute information of the fault equipment, and a diagnosis method and a diagnosis result can be given as soon as possible through the communication of the fault phenomenon with the manufacturer; the whole network in-transit equipment list with the same manufacturer, the same model and the same batch as the fault equipment can be known, and the search range can be expanded through a checking function; the final aim is to search information valuable for fault diagnosis through transverse and longitudinal comparison.
The inquired equipment data information contains the grade of the equipment and the fault history record, and a user can click the 'inquire fault' function button to read the fault report of the fault equipment.
The transformer equipment diagnosis and maintenance platform based on the Internet of things provides an accurate database by relying on a server arranged on the Internet, relies on the portability of an intelligent terminal, relies on the number information of the transformer equipment which is quickly identified by an electronic tag or a two-dimensional code in the prior art, and inspectors quickly inquire the attribute of the fault equipment by the portable intelligent terminal, wherein the equipment attribute comprises a plurality of equipment attributes including equipment models, manufacturers, purchase dates, delivery dates, faults, solution history records and the like, and the inspectors can carry out targeted investigation by checking the equipment attribute, so that the diagnosis and maintenance time is shortened; the examiner can also perform an extended search according to the device attributes, such as searching for the device attributes of the same model or searching for the device attributes of the same type, and perform a key investigation on the parts with reference significance by looking up the diagnosis method and the solution record of the extended search device.
Furthermore, the intelligent terminal is further provided with a fault maintenance module, the fault maintenance module is used for converting two-dimensional code information acquired by the camera or electronic tag information acquired by the RFID card reader into equipment number information, the fault maintenance module is further used for receiving input power transformation equipment fault data, the intelligent terminal is further used for sending the equipment number information and the power transformation equipment fault data from the fault maintenance module to the server, and the server is further used for storing the equipment number information and the power transformation equipment fault data.
More specifically, on-site testers can scan two-dimensional codes of the fault equipment through the operation interface of the fault maintenance module, obtain equipment coding information through one key, enter the equipment fault entry interface to enter equipment fault data entry, and the system automatically pops up various fault category reports of the selected equipment.
The equipment fault maintenance interface is provided with preset fault types, such as total hydrocarbon, CO \ CO2、C2H2The winding direct-current resistor, the iron core, the clamp insulation, the capacitance, the winding dielectric loss factor, the infrared temperature measurement, the no-load current and no-load loss, the short-circuit impedance, the partial discharge detection and other fault type options are provided, and the reasons of the options are set, so that on one hand, the input operation of field testers is saved, and the description is not standard; and on the other hand, the fault types are classified, so that the retrieval is convenient to carry out when in follow-up needs.
In addition, on the other hand, after the fault types are classified, when the fault types are selected, the scoring module arranged on the intelligent terminal scores the current work according to the work difficulty workload, and the scoring module is used as an assessment standard of the examination personnel.
On the other hand, after the fault types are classified, when the fault types are selected, the products of the type are scored and evaluated, and reference is provided for follow-up equipment purchase.
The intelligent terminal is provided with a fault maintenance module, after the fault maintenance module checks the work of a tester, an entry of a work record is filled, the fault maintenance module stores the received fault record into the server database, and if the equipment has a fault again, the fault maintenance module can look up the current maintenance record to be used as a reference during diagnosis.
The fault maintenance module is provided with a fault type selection interface, so that input operation of a tester is omitted, the description is not standard, and the fault maintenance module is convenient to retrieve according to the fault type. The scoring module of the intelligent terminal can also score the work according to the fault options, and the work of the examination personnel can be conveniently examined. And the fault diagnosis option is also used as a scoring basis of the equipment to evaluate the equipment state and provide reference for subsequent equipment purchase.
Furthermore, the intelligent terminal is further provided with a state evaluation module, the state evaluation module is used for forming a manufacturer state evaluation score and an equipment state evaluation score according to the equipment fault data history record from the server, the intelligent terminal is further used for sending the manufacturer state evaluation score and the equipment state evaluation score to the server, and the server is further used for storing the manufacturer state evaluation score and the equipment state evaluation score.
More specifically, a data mining technology is introduced into equipment state evaluation, the equipment state evaluation is carried out according to comprehensive factors such as fault type, operation age, severe working condition, operation environment, online monitoring information and the like of the equipment, the establishment of an equipment fault library of a research and development platform provides powerful support for the acquisition of all dimension state information representing the equipment state, after the equipment state information quantity is acquired in a data acquisition stage, the acquired data is cleaned, integrated and transformed, the data can meet the requirements of a data algorithm, and the acquired equipment state dimension information is recorded as X1，X2...Xn-1，XnData sets X of each seti＝{xi1，xi2...xinWhere n denotes the number of samples drawn, xijRepresenting a data set XiThe jth training sample. Calculating orthogonal correlation matrix R of each state set data state quantity matrixi＝(Xi-`Xi)(Xi-`Xi) T, to RiSingular value decomposition is carried out to obtain a matrix RiThe eigenvalues and eigenvectors. Arranging the characteristic values in the order from big to small:
λi1≥λi2≥…≥λik＞0
αi1,αi2…αikis the corresponding feature vector.
Determining the number of principal component vectors, order
Calculating the projection of the original equipment state quantity matrix in the new m-dimensional feature space:
Ti＝AiXi＝[αi1,αi2…αik]T·[xi1，xi2...xin]
for the state information quantity y of the equipment to be evaluated, calculating the projection of the state information quantity y in each state set feature space, and finally obtaining the overall state of the equipment, wherein the calculation formula is as follows:
as in the present embodiment, the scores were made according to Table 1
TABLE 1 Main Transformer Fault items and scores
In the present embodiment, sampling data is extracted from the device database, principal component analysis is performed, and each state set feature space is calculated as shown in table 2.
TABLE 2 sample values
25 samples are extracted from the sample set respectively to serve as test samples, the test samples are projected into the training sample feature space formed by calculation in the table 2 for classification, the accuracy rate of equipment state evaluation of the algorithm is over 80%, and the algorithm has a good effect.
The intelligent terminal is provided with a state evaluation module, the evaluation module comprehensively evaluates equipment in use through a scientific evaluation method, and the algorithm is scientific; through the supporting function of equipment state evaluation, the bidding purchasing link is guided, inferior products can be effectively prevented from flowing into the system, bad manufacturers are effectively restricted, and the manufacturers concentrate more on equipment quality and process improvement rather than price.
Furthermore, the intelligent terminal is further provided with a typical fault learning module, and the typical fault learning module is used for displaying typical fault data of the power transformation equipment and accident emergency treatment scheme data from the server.
More specifically, the fault learning module covers contents such as typical faults of the power transformation equipment, emergency accident handling schemes and the like, and is convenient for examination and test personnel to learn. The module is beneficial to accelerating the improvement of the skill level of personnel service, and the examination personnel can easily exchange and share experience through the platform.
Furthermore, the intelligent terminal is provided with a system login module, the system login module is used for converting received account information and password information into login request information, the intelligent terminal is further used for sending the login request information to the server, and the server is further used for sending login permission or refusal information to the intelligent terminal according to the login request information from the intelligent terminal.
Furthermore, the intelligent terminal is provided with a system management module, and the system management module is used for editing the manufacturer state score, the equipment state score, the account information and the password information which are stored in the server.
More specifically, when software needs to be used by a test person, the test person firstly needs to log in the system, the system login module receives input account and password information, the intelligent terminal sends the account and password information to the server, the server verifies the account and password information and sends a login permission or refusal message to the intelligent terminal, and only when the login permission message is received, the test person can enter the platform operation interface.
The intelligent terminal is provided with a login module, and the system can be used only after the verification of the system login module, so that the system is safer to use; the intelligent terminal is also provided with a system management module, and the system management module is used for editing data stored on the server and correcting error data such as manufacturer state scores, equipment state scores, account information, password information and the like.
Furthermore, the intelligent terminal is provided with an equipment attribute input module, the equipment attribute input module is used for converting received equipment attribute input information into an equipment attribute input request, the intelligent terminal is used for sending the equipment attribute input request to the server, and the server is used for converting the equipment attribute input request from the intelligent terminal into equipment attribute information and storing the equipment attribute information.
Furthermore, the intelligent terminal is provided with an approval management module, the approval management module is used for sending approval data to the approval nodes, the intelligent terminal is further used for sending the approval data after approval to the server, and the server is used for storing the approval data after approval.
More specifically, the intelligent terminal is provided with an equipment attribute inputting module for inputting equipment attributes such as equipment number information, commissioning date, equipment model, manufacturer and the like, and especially when the information is input in a mode of acquiring the information through a camera or an RFID card reader of the intelligent terminal, the intelligent terminal is faster and more accurate in information.
The approval management module is used for carrying out circulation approval on some data needing to be approved, and if the fault maintenance records generated by the fault maintenance module are approved by the approval module, the data are stored in the server.
The equipment attribute input module of the intelligent terminal is convenient for managing equipment attribute information, particularly newly purchased equipment attributes, and when the equipment attribute information is input in a mode of acquiring the information through a camera or an RFID card reader of the intelligent terminal, the equipment attribute input module is quicker and more accurate in information; the approval management module is used for transferring and approving data needing to be approved, and process management is facilitated.
Furthermore, the intelligent terminal is provided with an electronic tag writing module, the electronic tag writing module is used for converting the equipment fault data and the equipment serial number information into electronic tag data, and the intelligent terminal is further used for writing the electronic tag data into an electronic tag through the RFID card reader.
More specifically, the electronic tag is used for identifying some simple device information, such as a device failure maintenance date, a next maintenance-required date and device number information, and the intelligent terminal is provided with an electronic tag writing module which can rewrite the electronic tag.
The embodiments described above are only preferred embodiments of the invention and are not exhaustive of the possible implementations of the invention. Any obvious modifications to the above would be obvious to those of ordinary skill in the art, but would not bring the invention so modified beyond the spirit and scope of the present invention.
Claims (10)
1. The utility model provides a transformer equipment diagnosis overhauls platform based on thing networking which characterized in that includes: the system comprises a server and an intelligent terminal, wherein the server is used for storing substation account information of the power transformation equipment, the intelligent terminal is used for inputting and looking up the substation account information of the power transformation equipment stored on the server, and the intelligent terminal is in communication connection with the server;
the intelligent terminal is provided with a camera and an RFID card reader, the camera is used for collecting barcode or two-dimensional code image information, and the RFID card reader is used for collecting electronic tag information.
2. The transformation equipment diagnosis and overhaul platform based on the internet of things of claim 1, wherein the intelligent terminal is provided with an equipment query module, the equipment query module is used for converting received equipment attribute query information and equipment fault early warning query information into an equipment query request, the intelligent terminal sends the equipment query request from the equipment query module to the server, the server sends query result data to the intelligent terminal according to the equipment query request from the intelligent terminal, and the equipment query module is further used for displaying equipment attribute information and an equipment fault early warning information query result.
3. The Internet of things-based power transformation equipment diagnosis and overhaul platform as claimed in claim 2, wherein the intelligent terminal is further provided with a fault maintenance module, the fault maintenance module is used for converting two-dimensional code information collected by the camera or electronic tag information collected by the RFID card reader into equipment number information, the fault maintenance module is further used for receiving input power transformation equipment fault data, the intelligent terminal is further used for sending the equipment number information and the power transformation equipment fault data from the fault maintenance module to the server, and the server is further used for storing the equipment number information and the power transformation equipment fault data.
4. The transformation equipment diagnosis and overhaul platform based on the internet of things as claimed in claim 3, wherein the intelligent terminal is further provided with a state evaluation module, the state evaluation module is used for forming a factory state evaluation score and an equipment state evaluation score according to equipment fault data history records from the server, the intelligent terminal is further used for sending the factory state evaluation score and the equipment state evaluation score to the server, and the server is further used for storing the factory state evaluation score and the equipment state evaluation score.
5. The Internet of things-based power transformation equipment diagnosis and overhaul platform as claimed in claim 4, wherein the intelligent terminal is further provided with a typical fault learning module, and the typical fault learning module is used for displaying typical fault data of the power transformation equipment and accident emergency treatment scheme data from the server.
6. The Internet of things-based power transformation equipment diagnosis and overhaul platform as claimed in claim 5, wherein the intelligent terminal is provided with a system login module, the system login module is used for converting received account information and password information into login request information, the intelligent terminal is further used for sending the login request information to the server, and the server is further used for sending a login permission message or a login rejection message to the intelligent terminal according to the login request information from the intelligent terminal.
7. The Internet of things-based power transformation equipment diagnosis and overhaul platform as claimed in claim 6, wherein the intelligent terminal is provided with a system management module, and the system management module is used for editing the factory state score, the equipment state score, the account information and the password information which are stored in the server.
8. The Internet of things-based power transformation equipment diagnosis and overhaul platform as claimed in claim 7, wherein the intelligent terminal is provided with an equipment attribute entry module, the equipment attribute entry module is used for converting received equipment attribute entry information into an equipment attribute entry request, the intelligent terminal is used for sending the equipment attribute entry request to the server, and the server is used for converting the equipment attribute entry request from the intelligent terminal into equipment attribute information and storing the equipment attribute information.
9. The transformation equipment diagnosis and overhaul platform based on the internet of things of claim 8, wherein the intelligent terminal is provided with an approval management module, the approval management module is used for sending approval data to an approval node, the intelligent terminal is further used for sending the approved approval data to the server, and the server is used for storing the approved approval data.
10. The Internet of things-based power transformation equipment diagnosis and overhaul platform as claimed in claim 9, wherein the intelligent terminal is provided with an electronic tag writing module, the electronic tag writing module is used for converting the equipment fault data and the equipment number information into electronic tag data, and the intelligent terminal is further used for writing the electronic tag data into an electronic tag through the RFID card reader.
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