CN113010624B - Intelligent power distribution inspection system - Google Patents
Intelligent power distribution inspection system Download PDFInfo
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- CN113010624B CN113010624B CN202110294555.1A CN202110294555A CN113010624B CN 113010624 B CN113010624 B CN 113010624B CN 202110294555 A CN202110294555 A CN 202110294555A CN 113010624 B CN113010624 B CN 113010624B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
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- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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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 relates to an intelligent power distribution inspection system, which comprises: the system comprises a mobile patrol module and a central intelligent control background, wherein the mobile patrol module is deployed on a mobile terminal, the central intelligent control background is deployed on a remote server, and the mobile patrol module is in network connection with the central intelligent control background; the central intelligent control background comprises a hidden danger and defect management module, a task management module, a map visualization module and a data analysis module, and all the modules are connected with each other through the remote server; the mobile patrol module is used for collecting and uploading front-end task data, and the central intelligent control background is used for analyzing and processing the collected data. The mobile inspection module is used for intelligently managing the specific process of power distribution inspection, and analyzing the big data of the power distribution data so as to improve the digitization, informatization and intellectualization of the power distribution management.
Description
Technical Field
The invention belongs to the technical field of power distribution network management, and particularly relates to an intelligent power distribution inspection system.
Background
In recent years, a new round of science and technology represented by a 'big cloud thing moving intelligence chain' is developed vigorously, 5G, big data and artificial intelligence are widely applied to electric power work, and the innovation of links such as power grid planning, construction, operation and maintenance and overhaul is possible. In order to completely turn over the passive situation that equipment hidden dangers and defects are treated for a long time but not absolutely, a company grasps opportunities brought by digital change, and an intelligent comprehensive control center is formally uncovered and put into operation at the beginning of 8 months, so that an intelligent operation and inspection new system of 'operation and inspection full speciality, equipment full life and county area full coverage' is constructed, internal professional barriers are broken through, the intelligent level of a power grid is improved, and the digital transformation and power-assisted county and territory economic development of the company are realized.
The intelligent control center is an important business support mechanism for establishment of digital transformation of a national network company after the national network company provides digital new capital construction, and with gradual construction and improvement of a power transmission intelligent inspection system, a power transmission and distribution visual remote inspection system, an operation site safety management and control system and the like which are used by the center, the intelligent control center is relatively simple in function in the past and gradually develops to function diversification, integration and digitization. And next, the information, digital and intelligent construction process of the company is further promoted from the field of power distribution: firstly, data analysis and judgment are well done, the important function of data as production elements is played, and the conversion of data from 'available' to 'good' is realized. Secondly, artificial intelligence hidden danger and defect recognition is carried out, the operation condition of the transmission transformer equipment is analyzed, and an operation and inspection active operation and maintenance informatization and intelligent management and control system is created. Thirdly, a large amount of data values are continuously and deeply mined, so that the decisions of falling employee portraits, equipment portraits and client portraits are pushed to be deeper, more accurate and more specific, better service management, investment and the like, and a power distribution inspection platform with independent intellectual property rights is formed.
At present, the combing of all distribution line towers and equipment in county areas is completed, and operation and maintenance staff are prepared to complete the coordinate collection of 3.6 ten thousand-base 10kV towers, 4 ten thousand-base 0.4kV towers and 11 ten thousand meter boxes, the pre-collection of image accounts of line equipment, the arrangement and modeling of information such as historical hidden danger defects and the like within two months through a mobile phone GPS function.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the intelligent power distribution inspection system overcomes the defects of the prior art, intelligently manages the specific process of power distribution inspection, and analyzes the big data of power distribution data to improve the digitization, informatization and intellectualization of power distribution management.
The technical scheme adopted by the invention for solving the problems in the prior art is as follows:
the invention provides an intelligent power distribution inspection system, which comprises: the system comprises a mobile patrol module and a central intelligent control background, wherein the mobile patrol module is deployed on a mobile terminal, the central intelligent control background is deployed on a remote server, and the mobile patrol module is in network connection with the central intelligent control background;
the central intelligent control background comprises a hidden danger and defect management module, a task management module, a map visualization module and a data analysis module, and all the modules are connected with each other through the remote server;
the mobile patrol module is used for collecting and uploading front-end task data, and the central intelligent control background is used for analyzing and processing the collected data.
Preferably, the hidden danger and defect management module is connected with the mobile inspection module, the task management module and an external repair reporting system to acquire newly-added hidden danger or defect information, automatically classifies the newly-added hidden danger or defect information and forwards the information to the task management module to compile a task work order, receives task feedback information sent by the task management module, and automatically visits clients through a telephone robot after the hidden danger and the defect are eliminated; the hidden danger and defect management module is also used for generating a hidden danger and defect standard database, and a user accesses the hidden danger and defect standard database through the mobile inspection module so as to upload hidden dangers or defects through a point selection strategy according to the actual situation on site;
the task management module is used for compiling inspection tasks, drip operation and maintenance tasks, hidden danger or defect handling tasks, generating task work orders, distributing and transmitting the task work orders to the mobile inspection modules corresponding to the users, and receiving task feedback information uploaded by the mobile inspection modules; for the patrol task, the task management module is communicated with the mobile patrol module in real time to acquire the GPS position information of the corresponding mobile terminal so as to realize the overall process management of tower and equipment patrol; the drip operation and maintenance task refers to a task for disposing a single-point emergency event; the task management module forwards the task feedback information to the hidden danger and defect management module, the map visualization module and the data analysis module;
the map visualization module is used for generating and updating a geographical wiring diagram, a field patrol diagram, an abnormal hotspot diagram and a distribution diagram of a distribution area, wherein the geographical wiring diagram is used for displaying the wiring condition of a line, the field patrol diagram is used for displaying the circuit patrol condition, the abnormal hotspot diagram is used for displaying the regional distribution condition of various hidden danger defects, the distribution diagram of the distribution area is used for accurately searching the position of the distribution area, and a user communicates with the map visualization module through the mobile patrol module to browse the visual map; the map visualization module receives the task feedback information to update the visualization map;
the data analysis module is used for receiving and storing the task feedback information, performing big data statistical analysis on the inspection effect of the distribution network and the defects and hidden dangers of the distribution network according to the task feedback information, and performing digital portrait on each power supply station, staff and equipment according to the task feedback information; the data analysis module is also used for storing and updating a tower and equipment standardized image platform account; the user visits through removing the module of patrolling big data statistics analysis, all kinds of digital portraits, the standardized image platform account of shaft tower and equipment, and passes through remove the module of patrolling and upload the picture in order to update standardized image platform account.
Preferably, the power distribution intelligent inspection system further comprises a webpage client, and the webpage client is connected with the central intelligent control background network;
the remote server is a cloud server;
the mobile patrol module and the webpage client are in connection communication with the central intelligent control background through a mobile private network;
the external repair system comprises a 95598 hot line system, a 12345 municipal hot line system and an internal repair telephone system.
Preferably, the element attributes in the hidden danger defect standard database at least comprise a number, a keyword description, a detailed description, a risk level and associated equipment information, wherein the associated equipment information comprises an equipment type and a historical occurrence frequency;
the specific method for automatically grading the newly-added hidden danger or defect information comprises the following steps:
s101: extracting static key phrases, dynamic key phrases and punctuation marks in the newly added hidden danger or defect information;
s102: sequentially carrying out contrast correction and near-meaning word expansion on each static keyword and each dynamic keyword according to a preset power grid static keyword set and a preset power grid dynamic keyword set to generate a corrected static keyword, a corrected dynamic keyword, a static approximate word group set and a dynamic approximate word group set;
s103: generating a static retrieval formula set according to the relevance among all static words in the static approximate phrase set, respectively retrieving the hidden danger defect standard database according to all retrieval formulas in the retrieval formula set to generate a corresponding result set, solving a union set of all result sets and removing the duplication to generate a matching set;
s104: combining and correcting static keywords and dynamic keywords according to the combination sequence of original static keyword groups, dynamic keyword groups and punctuation marks to generate a correction matching formula, matching the correction matching formula with the hidden danger or defect descriptions of elements in a matching set in an identification degree manner, regarding the static keywords and the dynamic keywords which are in an approximate relationship in the matching process as similarity equivalence, selecting the elements with the highest matching degree as correction information, and regarding the risk grade of the correction information as the risk grade of newly-added hidden danger or defect information.
Preferably, the user accesses the hidden danger and defect standard database through the mobile inspection module, and the specific method for uploading hidden dangers or defects through a click strategy is as follows:
s201: the mobile inspection module uploads equipment information and filtering keywords;
s202: the hidden danger and defect management module receives the equipment information and the filtering keywords, retrieves a hidden danger and defect standard database according to the equipment information and the filtering keywords, and pushes a retrieval result to the mobile inspection module in a list form;
s203: the step S201 and the step S202 are performed in a loop until the hidden danger and defect management module receives the user click information uploaded by the mobile inspection module, and the process skips to the step S204;
s204: and the hidden danger and defect management module generates new hidden danger or defect information according to the user click information and the equipment information.
Preferably, in step S201, the manner of acquiring the device information by the mobile patrol module includes:
the mobile patrol module acquires equipment information by scanning a two-dimensional code or a bar code on the equipment through the mobile terminal,
alternatively, the first and second electrodes may be,
the mobile patrol module accesses the map visualization module and uploads GPS position information of a mobile terminal of the mobile patrol module, the map visualization module displays a geographical wiring diagram enlarged image which takes the GPS position as a center and takes a preset distance L as a radius, and a user clicks corresponding equipment on the geographical wiring diagram enlarged image to obtain equipment information;
the steps S201 and S202 are performed in a loop, the user adjusts the search result list by modifying or supplementing the keywords, and in the step S202, the search result list is arranged from large to small according to the historical occurrence frequency of the elements in the list.
Preferably, the data analysis module performs big data statistical analysis on defects and hidden dangers existing in the distribution network, the big data analysis includes statistical analysis on historical occurrence frequencies of the defects or the hidden dangers corresponding to various devices, the hidden danger and defect management module communicates with the data analysis module in real time, and the statistical analysis on the historical occurrence frequencies of the defects or the hidden dangers corresponding to the various devices is obtained to update the hidden danger defect standard database;
the data analysis module carries out digital portrait on each equipment, the digital portrait at least comprises equipment manufacturer model, equipment type, equipment age, fault information of the equipment and patrol condition of the equipment, the fault information comprises fault time, fault type and fault frequency, the fault type is associated with the hidden danger defect standard database, in the step S202, after the hidden danger and defect management module receives the equipment information, the digital portrait of the corresponding equipment is inquired, and the fault type fault frequency of the corresponding equipment is pushed to the mobile patrol module in a list form from large to small.
Preferably, the specific method for managing the patrol task by the task management module is as follows:
the task management module communicates with the mobile patrol module in real time to acquire real-time GPS position information of a corresponding mobile terminal, and takes the position of a task object of a corresponding patrol task as a center, a preset distance D is set as a patrol area for the area with a radius, when the mobile terminal is in the patrol area, the submission function of the corresponding patrol task is activated, when the mobile terminal is in the patrol area, the submission function of the corresponding patrol task is closed, and meanwhile, the mobile terminal enters the patrol area and submits a time value T between the corresponding patrol tasks.
Preferably, the data analysis module performs digital portrait on different employees, the digital portrait at least comprises identification information of the employees, department belongings, posts, working years and completion conditions of various tasks, the task management module communicates with the data analysis module in real time, a matching model between the digital portrait of the employees and the task work order is established, the task work order is distributed according to the matching model, and the matching model is updated in real time according to the update of the digital portrait of the employees.
Preferably, the specific method for updating the standardized image ledger by the data analysis module and the mobile patrol module includes:
a, updating the standardized image ledger is triggered by a time period and an abnormal event, wherein the time period triggering method comprises the following steps: the data analysis module records the image standing book updating interval time of each device in real time, and when the image standing book updating interval time of any device reaches a preset time value T1, the data analysis module transmits image updating demand information of the device to the task management module;
the method for triggering the abnormal event comprises the following steps: the data analysis module intelligently analyzes the task feedback information and judges whether the image ledger of the equipment related to the corresponding task feedback information needs to be updated or not, and if so, the data analysis module transmits the image updating demand information of the equipment to the task management module;
the task management module adds the image updating information to a corresponding task work order;
b: the user passes through the removal module of patrolling uploads the image and updates the picture, the data analysis module is right the picture carries out the picture similarity with the original picture that needs the substitute and compares, if the similarity accords with preset standard value, then replaces the update to the original picture, if the similarity does not accord with preset standard value, then notifies the removal module of patrolling picture is not conform to the standard, shoots the picture again and uploads.
Compared with the prior art, the invention has the following beneficial effects:
(1) the hidden danger and defect management module realizes the full-aperture management of repair services of an external repair system and the full-life-cycle management of hidden dangers or defects from discovery to transaction to elimination.
(2) Through the work order mode of the task management module, the whole process rigid management of the task is realized, and through the mobile patrol module uploading GPS information, the whole process management of tower and equipment patrol is realized.
(3) The map visualization module generates and updates a geographical wiring diagram, a field patrol diagram, an abnormal hotspot diagram and a distribution diagram of the distribution area, and a user accesses the visualization map through the mobile patrol module, so that a mobile phone point network is realized.
(4) Through the mobile inspection module and the hidden danger defect standard database, a user can upload hidden dangers or defects in a clicking mode conveniently, accuracy and standard types of uploaded data are guaranteed, a large number of characters are prevented from being input on site by the user, and working efficiency is improved.
(5) The data analysis module is used for carrying out big data analysis on the task feedback information, so that digital portrait of power supply stations, staff and equipment is realized, the task completion condition and the power distribution network operation condition of each power supply station and staff are clear at a glance, and the intellectualization of company power distribution management is improved.
Drawings
The invention is further illustrated with reference to the following figures and examples.
FIG. 1 is a schematic system configuration according to an embodiment of the present invention,
figure 2 is a schematic system configuration of another embodiment of the present invention,
FIG. 3 is a flow chart of a method for automatically classifying hidden troubles and defects according to an embodiment of the present invention,
fig. 4 is a flowchart illustrating a method for clicking a policy according to an embodiment of the present invention.
Detailed Description
In order to make the technical solution and the advantages of the present invention clearer, the following explains embodiments of the present invention in further detail.
As shown in fig. 1 to 2, the present invention provides a power distribution intelligent inspection system, including: remove module and the control backstage of central intelligence of patrolling, remove to patrol the module and deploy in mobile terminal, the backstage is deployed in remote server is controlled to central intelligence, remove to patrol the module with backstage network connection is controlled to central intelligence.
The central intelligent control background comprises a hidden danger and defect management module, a task management module, a map visualization module and a data analysis module, and the modules are connected with each other through the remote server.
The hidden danger and defect management module is connected with the mobile inspection module, the task management module and an external repair reporting system, newly increased hidden danger or defect information is obtained to achieve repair reporting service full-aperture management, then the newly increased hidden danger or defect information is automatically classified and then forwarded to the task management module to compile a task work order, and task feedback information sent by the task management module is received, and after hidden danger and defect are eliminated, automatic return visit is conducted on a client through a telephone robot, and full-life-cycle management from discovery to abnormal operation to elimination of the hidden danger or defect is achieved; the hidden danger and defect management module is also used for generating a hidden danger and defect standard database, and a user accesses the hidden danger and defect standard database through the mobile inspection module so as to upload hidden dangers or defects through a point selection strategy according to the actual situation on site.
The task management module is used for compiling inspection tasks, drip operation and maintenance tasks, hidden danger or defect handling tasks, generating task work orders, distributing and transmitting the task work orders to the mobile inspection modules corresponding to the users, and receiving task feedback information uploaded by the mobile inspection modules to realize the rigid management of the whole process of the tasks; for the patrol task, the task management module is communicated with the mobile patrol module in real time to acquire the GPS position information of the corresponding mobile terminal so as to realize the overall process management of tower and equipment patrol; the drip operation and maintenance task refers to a task for disposing a single-point emergency event; and the task management module forwards the task feedback information to the hidden danger and defect management module, the map visualization module and the data analysis module.
The map visualization module is used for generating and updating a geographical wiring diagram, a field patrol diagram, an abnormal hotspot diagram and a distribution diagram of a distribution area, wherein the geographical wiring diagram is used for displaying the wiring condition of a line, the field patrol diagram is used for displaying the circuit patrol condition, the abnormal hotspot diagram is used for displaying the regional distribution condition of various hidden danger defects, the distribution diagram of the distribution area is used for accurately searching the position of the distribution area, and a user communicates with the map visualization module through the mobile patrol module to browse the visual map; and the map visualization module receives the task feedback information to update the visualization map.
The data analysis module is used for receiving and storing the task feedback information, performing big data statistical analysis on the inspection effect of the distribution network and the defects and hidden dangers of the distribution network according to the task feedback information, and performing digital portrait on each power supply station, staff and equipment according to the task feedback information; the data analysis module is also used for storing and updating a tower and equipment standardized image platform account; the user visits through removing the module of patrolling big data statistics analysis, all kinds of digital portraits, the standardized image platform account of shaft tower and equipment, and passes through remove the module of patrolling and upload the picture in order to update standardized image platform account.
The data analysis module updates the patrol condition of the distribution network equipment in real time through big data statistical analysis, carries out ranking report on the patrol condition, the participation rate and the overdue condition, supervises the power supply station to carry out patrol work, develops habits, updates the defect condition of the distribution network equipment in real time, carries out real-time ranking report on the defect general trend, the defect condition of lines and distribution areas and the defect elimination condition of each unit, and supervises each unit to carry out defect inspection management.
In order to effectively stimulate the working enthusiasm of the staff and promote the fusion development of enterprises and the staff, the data analysis module accurately figures the staff based on 'business + performance'. And performing real-time seamless processing and analysis on the service system data to form accurate portrait of the staff, and instantly publishing the portrait evaluation result to managers at all levels and the staff. Based on the analysis report and the early warning information, the method fully plays the role of excitation guidance, guides the staff to improve the performance evaluation, and provides comprehensive manpower support for the improvement of relevant business indexes and the hardness of key tasks of the company.
The digital portrait of the employee at least comprises identification information of the employee, the department, the post, the working age and the task completion condition, the task management module is communicated with the data analysis module in real time, a matching model between the digital portrait of the employee and the task work order is established, the task work order is distributed according to the matching model, and the matching model is updated in real time according to the update of the digital portrait of the employee. The completion condition of the task comprises weighing parameters such as the processing efficiency and the processing quantity of various hidden dangers or defects, the hidden dangers or defects found in the inspection task and the like. The matching model obtains the historical information of the staff according to the digital portrait of the staff, and automatically distributes tasks through the random forest model according to the type and the content of the existing task work order. The digital portrait of the employee can be directly provided for managers and employees at all levels, the effects of performance evaluation and employee guidance and incentive are met, the workload and the calculated amount of a matching model for collecting historical information of the employee are reduced, and the distribution speed of the task work order is increased.
The digital portrait of the equipment at least comprises equipment manufacturer models, equipment types, equipment ages, fault information of the equipment and inspection conditions of the equipment, wherein the fault information comprises fault time, fault types and fault frequencies, and the fault types are associated with the hidden danger defect standard database.
The big data analysis comprises statistical analysis of historical occurrence frequency of defects or hidden dangers corresponding to various devices, the hidden danger and defect management module is in real-time communication with the data analysis module, and statistical analysis of the historical occurrence frequency of the defects or the hidden dangers corresponding to the various devices is obtained to update the hidden danger defect standard database.
The central intelligent control background further comprises a database module connected with the hidden danger and defect management module, the task management module, the map visualization module and the data analysis module and used for storing various data and files generated by the modules and pre-inputting information such as positioning data and original information of power distribution equipment such as line towers, public transformers, special transformers and electric meter boxes.
The intelligent power distribution inspection system further comprises a webpage client, the webpage client is connected with the central intelligent control background network, and a user accesses each module of the central intelligent control background through the webpage client. The existing system platform basically adopts a B/S architecture, namely a browser and server architecture mode, which is a changed or improved architecture of a C/S architecture along with the rise of Internet technology. Under the structure, the user work interface is realized by a WWW Browser, a few parts of business logic are realized at a front end (Browser), but the main business logic is realized at a Server end (Server), and a three-layer 3-tier structure is formed. Through on the mobile terminal remove the module visit when the backstage is controlled to central intelligence, be subject to mobile terminal's screen size, visit through the browser on the computer equipment the backstage is controlled to central intelligence and the user of being convenient for carries out the work that the complexity is higher, work load is great.
The remote server is a cloud server, the dynamic expandability and flexibility of the remote server are improved, and the instantaneous cost of purchasing the hardware server once is reduced by deploying the remote server stage by stage according to needs.
The mobile patrol module, the webpage client and the central intelligent control background are connected and communicated through a mobile private network, the mobile private network is a wireless private network, the wireless private network industry generally refers to a professional network for providing safe and reliable wireless services for specific departments or groups (such as government affairs, public safety and other industries), and a basic network of the wireless private network is generally independent of a public cellular mobile communication network. The wireless private network and the public mobile communication are different in nature, cannot replace each other and complement each other. The communication safety of the intelligent inspection system of the distribution network is improved by using private network communication, and the data of the power grid are prevented from leaking.
The external repair reporting system comprises a 95598 hot line system, a 12345 municipal hot line system, an internal line repair reporting telephone system and repair reporting ways such as a power supply station duty telephone and a station manager private telephone, the external repair reporting system directly transmits repair reporting information to the hidden danger and defect management module or internal staff transmits the hidden danger or defect information to the hidden danger and defect management module through the mobile inspection module or the webpage client, the full-aperture management of repair reporting services is realized, and the same quality of repair reporting information received in different ways is managed.
The element attributes in the hidden danger defect standard database at least comprise numbers, keyword descriptions, detailed descriptions, risk levels and associated equipment information, wherein the associated equipment information comprises equipment types and historical occurrence frequency. The detailed description refers to clear and complete description of hidden dangers or defects, and the keyword description refers to 2-4 keywords extracted from the corresponding detailed description and is convenient to display in the mobile patrol module.
The specific method for automatically grading the newly added hidden danger or defect information by the hidden danger and defect management module is as follows:
s101: extracting static key phrases, dynamic key phrases and punctuation marks in the newly added hidden danger or defect information;
s102: sequentially carrying out comparison and near-meaning word expansion on each static keyword and each dynamic keyword according to a preset power grid static keyword set and a preset power grid dynamic keyword set to generate a corrected static keyword and a corrected dynamic keyword as well as a static approximate word group set and a dynamic approximate word group set;
s103: generating a static retrieval formula set according to the relevance among all static words in the static approximate phrase set, respectively retrieving the hidden danger defect standard database according to all retrieval formulas in the retrieval formula set to generate a corresponding result set, solving a union set of all result sets and removing the duplication to generate a matching set;
s104: combining and correcting static keywords and dynamic keywords according to the combination sequence of original static keyword groups, dynamic keyword groups and punctuation marks to generate a correction matching formula, matching the correction matching formula with the hidden danger or defect descriptions of elements in a matching set in an identification degree manner, regarding the static keywords and the dynamic keywords which are in an approximate relationship in the matching process as similarity equivalence, selecting the elements with the highest matching degree as correction information, and regarding the risk grade of the correction information as the risk grade of newly-added hidden danger or defect information.
In the step S101, the static keywords include nouns and adjectives such as a device name type, a hidden danger or fault location, and color information, and the dynamic keywords include verbs such as breaking, exposing, grounding, and tripping; in the step S102, the contrast correction is to correct the spoken static keywords and the spoken dynamic keywords into electric power industry specialized terms, and the synonym expansion is to increase the fault tolerance of the contrast correction; in step S103, the association between the static keywords means that there is a relationship between the static keywords, for example, the relationship between the main device and the sub-component, the relationship between the device and the exterior color, or the connection relationship between the two devices, and the like, and the search range can be effectively reduced by combining the static keywords with the association, thereby reducing the calculation pressure of the similarity contrast in the next step; in the step S104, by combining the corrected static keywords and the corrected dynamic keywords in the original order, the invalid information is removed on the basis of not omitting the valid features as much as possible, so that the accuracy of similarity comparison is increased, and detailed description of hidden danger or defect description is referred to.
The user accesses the hidden danger and defect standard database through the mobile inspection module, and the specific method for uploading hidden dangers or defects through a click strategy comprises the following steps:
s201: the mobile inspection module uploads equipment information and filtering keywords;
s202: the hidden danger and defect management module receives the equipment information and the filtering keywords, retrieves a hidden danger and defect standard database according to the equipment information and the filtering keywords, and pushes a retrieval result to the mobile inspection module in a list form;
s203: the step S201 and the step S202 are performed in a loop until the hidden danger and defect management module receives the user click information uploaded by the mobile inspection module, and the process skips to the step S204;
s204: and the hidden danger and defect management module generates new hidden danger or defect information according to the user click information and the equipment information.
In step S201, the manner of acquiring the device information by the mobile patrol module includes:
the mobile patrol module acquires equipment information by scanning a two-dimensional code or a bar code on the equipment through the mobile terminal,
alternatively, the first and second electrodes may be,
the mobile patrol module accesses the map visualization module and uploads GPS position information of the mobile terminal, the map visualization module displays a geographical wiring diagram enlarged view with the GPS position as the center and the preset distance L as the radius, and a user clicks corresponding equipment on the geographical wiring diagram enlarged view to acquire equipment information.
The steps S201 and S202 are performed in a loop, the user adjusts the search result list by modifying or supplementing the keywords, and in the step S202, the search result list is arranged from large to small according to the historical occurrence frequency of the elements in the list.
As a preferable scheme, in the step S202, after receiving the device information, the hidden danger and defect management module queries a digital portrait of a corresponding device, and pushes fault types of the corresponding devices to the mobile patrol module in a list form according to a sequence of a fault frequency from large to small. The equipment types are contained in the hidden danger defect standard database, and each fault type is an element in the hidden danger defect standard database. The failure frequency refers to the frequency of each failure relative to the equipment, and the historical occurrence frequency refers to the occurrence frequency of each hidden trouble or defect of the same type of equipment. The mobile tour module may provide two list push schemes simultaneously for the user to click on.
The specific method for managing the patrol task by the task management module is as follows:
the task management module communicates with the mobile patrol module in real time to acquire real-time GPS position information corresponding to the mobile terminal, when the distance between the real-time GPS position of the mobile terminal and a task object of a corresponding patrol task is smaller than a preset distance D, the submission function of the mobile patrol module to the corresponding patrol task is activated, and when the distance between the real-time GPS position of the mobile terminal and the task object of the corresponding patrol task is larger than or equal to the preset distance D, the submission function of the mobile patrol module to the corresponding patrol task is closed.
The task management module sets an area with the position of the task object as the center and the preset distance D as the radius as a patrol area, and records the time T from entering the patrol area to submitting the corresponding task by the mobile patrol module. The preset distance D is set to be 50 meters, and the time T is used as quantitative data for measuring the patrol accuracy of the patrol personnel to urge the patrol personnel to perform the patrol.
The specific method for updating the standardized image ledger by the data analysis module and the mobile patrol module comprises the following steps:
a, updating the standardized image ledger is triggered by a time period and an abnormal event, wherein the time period is as follows: the data analysis module records the image standing book updating interval time of each device in real time, and when the image standing book updating interval time of any device reaches a preset time value T1, the data analysis module transmits image updating demand information of the device to the task management module;
the abnormal event trigger is as follows: the data analysis module intelligently analyzes the task feedback information and judges whether the image ledger of the equipment related to the corresponding task feedback information needs to be updated or not, and if so, the data analysis module transmits the image updating demand information of the equipment to the task management module;
the task management module adds the image updating information to a corresponding task work order;
b: the user passes through the removal module of patrolling uploads the image and updates the picture, the data analysis module is right the picture carries out the picture similarity with the original picture that needs the substitute and compares, if the similarity accords with preset standard value, then replaces the update to the original picture, if the similarity does not accord with preset standard value, then notifies the removal module of patrolling picture is not conform to the standard, shoots the picture again and uploads.
The data analysis module integrates an image recognition module, in order to reduce the difficulty of image recognition and accelerate the comparison speed of image similarity, the data analysis module compiles a standard image standing book for various devices, and the specific requirements of the standard image standing book are as follows:
for 10kV and 0.4kV tower image platform accounts, the number of the tower image platform accounts is 3, and the tower image platform accounts are respectively large-size side pictures, small-size side pictures and equipment body pictures. The large-size side image picture needs to include the circuit way complete picture between this stage of shaft tower to large-size side one-level shaft tower, and equipment body image picture needs to embody this stage of shaft tower complete picture, including shaft tower, cross arm, insulator and wire, and small-size side image picture needs to include the circuit way complete picture between this stage of shaft tower to small-size side one-level shaft tower.
For the rack transformer image account, the number of the rack transformer images is 1, the image photo needs to contain the full appearance of the transformer body and the 10kV line outgoing part, the 0.4kV line outgoing part, the transformer rack and the distribution box are embodied.
To table case image platform account, transparent table case image platform account quantity is 3, is respectively for showing front-end line, table back-end line and equipment body picture, shows that front-end line picture will embody 0.4kV shaft tower lower line end to table case inlet wire end full-section image, and table case is located the positive central point of picture position in table case body picture, embodies table case forward complete appearance, and the line graph body shows table case outlet terminal to the part of registering one's residence behind the table.
To non-transparent table case, its image platform account quantity is 4, is table front-line, table back-line, equipment body outward appearance and the inside picture of table case respectively, and table front-line will embody 0.4kV shaft tower lower line end to table case inlet wire end full-section image, and table back-line body current table case outlet terminal is to the part of registering one's residence, and table case is located the positive central point of picture in the table case body picture, embodies table case forward complete appearance, and table case is located the positive central point of picture position in the inside picture of table case, embodies the inside complete appearance of table case.
For a transparent meter box of one meter per household, the number of the image accounts is 2, the image accounts are respectively a front line and an equipment body picture, the front line is to represent the full-section image from the lower line end of a 0.4kV tower to the inlet line end of the meter box, and the meter box in the picture of the meter box body is located in the center of the picture, so that the positive full appearance of the meter box is represented.
For a one-house one-meter type non-transparent meter box, 3 image accounts are respectively a meter front line, the appearance of the equipment body and the picture in the meter box.
To case transformer (electricity distribution room) image platform account, image platform account quantity is 4, be internal transformer respectively, the distribution board, outside fall insurance arrester and equipment body outward appearance complete picture, electricity distribution room body image picture embodies the positive complete picture of electricity distribution room outward appearance, internal transformer image picture embodies the positive complete picture of the inside transformer of electricity distribution room, inside distribution board image picture embodies the electricity distribution room complete picture, outside fall insurance arrester image picture will clearly embody the electricity distribution room outside and fall insurance and the arrester condition.
The image similarity comparison algorithm includes a histogram method, image template matching, Peak Signal to Noise Ratio (Peak Signal to Noise Ratio), structural similarity (ssim) method, perceptual hash algorithm (perceptual hash algorithm), and the like. Patent numbers CN 103870828 and CN105678778A also provide specific methods for image similarity comparison.
While the embodiments of the present invention have been described in detail with reference to the drawings, the present invention is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present invention within the knowledge of those skilled in the art.
Claims (9)
1. Distribution intelligence system of patrolling and examining, its characterized in that includes: the system comprises a mobile patrol module and a central intelligent control background, wherein the mobile patrol module is deployed on a mobile terminal, the central intelligent control background is deployed on a remote server, and the mobile patrol module is in network connection with the central intelligent control background;
the central intelligent control background comprises a hidden danger and defect management module, a task management module, a map visualization module and a data analysis module, and all the modules are connected with each other through the remote server;
the mobile patrol module is used for collecting and uploading front-end patrol data, and the central intelligent control background is used for analyzing and processing the collected data.
The hidden danger and defect management module is connected with the mobile inspection module, the task management module and an external repair reporting system to acquire newly-added hidden danger or defect information, automatically grades the newly-added hidden danger or defect information and forwards the information to the task management module to compile a task work order, receives task feedback information sent by the task management module, and automatically visits clients through a telephone robot after the hidden danger and the defect are eliminated; the hidden danger and defect management module is also used for generating a hidden danger and defect standard database, and a user accesses the hidden danger and defect standard database through the mobile inspection module so as to upload hidden dangers or defects through a point selection strategy according to the actual situation on site;
the task management module is used for compiling inspection tasks, drip operation and maintenance tasks, hidden danger or defect handling tasks, generating task work orders, distributing and transmitting the task work orders to the mobile inspection modules corresponding to the users, and receiving task feedback information uploaded by the mobile inspection modules; for the patrol task, the task management module and the mobile patrol module are communicated in real time to acquire the GPS position information of the corresponding mobile terminal; the task management module forwards the task feedback information to the hidden danger and defect management module, the map visualization module and the data analysis module;
the map visualization module is used for generating and updating a geographical wiring diagram, a field patrol diagram, an abnormal hotspot diagram and a distribution diagram of a distribution area, wherein the geographical wiring diagram is used for displaying the wiring condition of a line, the field patrol diagram is used for displaying the circuit patrol condition, the abnormal hotspot diagram is used for displaying the regional distribution condition of various hidden danger defects, the distribution diagram of the distribution area is used for accurately searching the position of the distribution area, and a user communicates with the map visualization module through the mobile patrol module to browse the visual map; the map visualization module receives the task feedback information to update the visualization map;
the data analysis module is used for receiving and storing the task feedback information, performing big data statistical analysis on the inspection effect of the distribution network and the defects and hidden dangers of the distribution network according to the task feedback information, and performing digital portrait on each power supply station, staff and equipment according to the task feedback information; the data analysis module is also used for storing and updating a tower and equipment standardized image platform account; the user visits through removing the module of patrolling big data statistics analysis, all kinds of digital portraits, the standardized image platform account of shaft tower and equipment, and passes through remove the module of patrolling and upload the picture in order to update standardized image platform account.
2. The intelligent power distribution inspection system according to claim 1, wherein:
the intelligent power distribution inspection system further comprises a webpage client, and the webpage client is connected with the central intelligent control background network;
the remote server is a cloud server;
the mobile patrol module and the webpage client are in connection communication with the central intelligent control background through a mobile private network;
the external repair system comprises a 95598 hot line system, a 12345 municipal hot line system and an internal repair telephone system.
3. The intelligent power distribution inspection system according to claim 1, wherein:
the element attributes in the hidden danger defect standard database at least comprise numbers, keyword descriptions, detailed descriptions, risk levels and associated equipment information, wherein the associated equipment information comprises equipment types and historical occurrence frequency;
the specific method for automatically grading the newly-added hidden danger or defect information comprises the following steps:
s101: extracting static key phrases, dynamic key phrases and punctuation marks in the newly added hidden danger or defect information;
s102: sequentially carrying out contrast correction and near-meaning word expansion on each static keyword and each dynamic keyword according to a preset power grid static keyword set and a preset power grid dynamic keyword set to generate a corrected static keyword, a corrected dynamic keyword, a static approximate word group set and a dynamic approximate word group set;
s103: generating a static retrieval formula set according to the relevance among all static words in the static approximate phrase set, respectively retrieving the hidden danger defect standard database according to all retrieval formulas in the retrieval formula set to generate a corresponding result set, solving a union set of all result sets and removing the duplication to generate a matching set;
s104: combining and correcting static keywords and dynamic keywords according to the combination sequence of original static keyword groups, dynamic keyword groups and punctuation marks to generate a correction matching formula, matching the correction matching formula with the hidden danger or defect descriptions of elements in a matching set in an identification degree manner, regarding the static keywords and the dynamic keywords which are in an approximate relationship in the matching process as similarity equivalence, selecting the elements with the highest matching degree as correction information, and regarding the risk grade of the correction information as the risk grade of newly-added hidden danger or defect information.
4. The intelligent power distribution inspection system according to claim 3, wherein:
the user accesses the hidden danger and defect standard database through the mobile inspection module, and a specific method for uploading hidden dangers or defects through a click strategy comprises the following steps:
s201: the mobile inspection module uploads equipment information and filtering keywords;
s202: the hidden danger and defect management module receives the equipment information and the filtering keywords, retrieves a hidden danger and defect standard database according to the equipment information and the filtering keywords, and pushes a retrieval result to the mobile inspection module in a list form;
s203: the step S201 and the step S202 are performed in a loop until the hidden danger and defect management module receives the user click information uploaded by the mobile inspection module, and the process skips to the step S204;
s204: and the hidden danger and defect management module generates new hidden danger or defect information according to the user click information and the equipment information.
5. The intelligent power distribution inspection system according to claim 4, wherein:
in step S201, the manner of acquiring the device information by the mobile patrol module includes:
the mobile patrol module acquires equipment information by scanning a two-dimensional code or a bar code on the equipment through the mobile terminal,
alternatively, the first and second electrodes may be,
the mobile patrol module accesses the map visualization module and uploads GPS position information of a mobile terminal of the mobile patrol module, the map visualization module displays a geographical wiring diagram enlarged image which takes the GPS position as a center and takes a preset distance L as a radius, and a user clicks corresponding equipment on the geographical wiring diagram enlarged image to obtain equipment information;
the steps S201 and S202 are performed in a loop, the user adjusts the search result list by modifying or supplementing the keywords, and in the step S202, the search result list is arranged from large to small according to the historical occurrence frequency of the elements in the list.
6. The intelligent power distribution inspection system according to claim 5, wherein:
the data analysis module carries out big data statistical analysis on defects and hidden dangers existing in the distribution network, the big data analysis comprises statistical analysis on historical occurrence frequency of the defects or the hidden dangers corresponding to various equipment, the hidden danger and defect management module is communicated with the data analysis module in real time, and the statistical analysis on the historical occurrence frequency of the defects or the hidden dangers corresponding to the various equipment is obtained to update the hidden danger defect standard database;
the data analysis module carries out digital portrait on each equipment, the digital portrait at least comprises equipment manufacturer model, equipment type, equipment age, fault information of the equipment and patrol condition of the equipment, the fault information comprises fault time, fault type and fault frequency, the fault type is associated with the hidden danger defect standard database, in the step S202, after the hidden danger and defect management module receives the equipment information, the digital portrait of the corresponding equipment is inquired, and the fault type fault frequency of the corresponding equipment is pushed to the mobile patrol module in a list form from large to small.
7. The intelligent power distribution inspection system according to claim 1, wherein:
the specific method for managing the patrol task by the task management module is as follows:
the task management module communicates with the mobile patrol module in real time to acquire real-time GPS position information of a corresponding mobile terminal, and takes the position of a task object of a corresponding patrol task as a center, a preset distance D is set as a patrol area for the area with a radius, when the mobile terminal is in the patrol area, the submission function of the corresponding patrol task is activated, when the mobile terminal is in the patrol area, the submission function of the corresponding patrol task is closed, and meanwhile, the mobile terminal enters the patrol area and submits a time value T between the corresponding patrol tasks.
8. The intelligent power distribution inspection system according to claim 1, wherein:
the data analysis module carries out digital portrait on different employees, the digital portrait of the employees at least comprises identification information of the employees, department belongingness, post, working age and completion conditions of various tasks, the task management module is communicated with the data analysis module in real time to establish a matching model between the digital portrait of the employees and the task work order, the task work order is distributed according to the matching model, and the matching model is updated in real time according to the update of the digital portrait of the employees.
9. The power distribution intelligent inspection system according to any one of claims 2 to 8, wherein:
the specific method for updating the standardized image ledger by the data analysis module and the mobile patrol module comprises the following steps:
a, updating the standardized image ledger is triggered by a time period and an abnormal event, wherein the time period triggering method comprises the following steps: the data analysis module records the image standing book updating interval time of each device in real time, and when the image standing book updating interval time of any device reaches a preset time value T1, the data analysis module transmits image updating demand information of the device to the task management module;
the method for triggering the abnormal event comprises the following steps: the data analysis module intelligently analyzes the task feedback information and judges whether the image ledger of the equipment related to the corresponding task feedback information needs to be updated or not, and if so, the data analysis module transmits the image updating demand information of the equipment to the task management module;
the task management module adds the image updating information to a corresponding task work order;
b: the user passes through the removal module of patrolling uploads the image and updates the picture, the data analysis module is right the picture carries out the picture similarity with the original picture that needs the substitute and compares, if the similarity accords with preset standard value, then replaces the update to the original picture, if the similarity does not accord with preset standard value, then notifies the removal module of patrolling picture is not conform to the standard, shoots the picture again and uploads.
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