JP5063087B2 - Isogo pollution area prediction system - Google Patents

Description

  The present invention predicts the fouling status of insulators used as insulators in power transmission lines and the like, and determines areas where preventive water washing operations are performed when typhoons pass The present invention relates to a cocoon-stained area prediction system, method and program.

  Conventionally, insulators attached to power plants, substations, switch stations, and transmission lines are used to safely and reliably insulate live power lines. However, the insulation performance of the insulator decreases with age due to contamination by salt dust. If the contamination progresses, it may cause a ground fault, so it is necessary to perform hot-line water washing when the contamination progresses to some extent. As for the pollution status of hot insulators, the amount of pilot insulators is measured, and the presence or absence of water washing is judged against the management target value. The management target value is managed in three stages according to the amount of pollution: a lightly polluted area, a moderately polluted area, and a heavily polluted area.

  Furthermore, in the case of a typhoon passing, the pollution progresses rapidly, so it is necessary to predict the pollution situation. When the degree of contamination becomes severe, washing is carried out with a mobile pump car or a stationary water-washing tool, but when the degree of contamination is severe, salt dust adheres to the nearby insulators and the insulators are removed. Risk of ground fault. Therefore, the direction of washing with water and the level of washing pressure are important factors for preventing ground faults. Washing is carried out from a place where the degree of contamination is high, but the current situation is that the person in charge and the naval tactics are used to look around.

Until now, as a technique related to the defacement of the insulator, Patent Document 1 discloses a technique and apparatus that can rationally correct the estimated value of the amount of the insulator depletion calculated from the meteorological data using the measured value of the pilot insulator. Has proposed. Further, Patent Document 2 uses a measured value of a pilot insulator to correct an estimated value of the amount of insulator contamination, and dynamically updates the estimated value for each measurement so that a more accurate estimation can be performed. Has proposed a method and apparatus for estimating the amount of insulator fouling with mechanical adjustment.
JP-A-10-188700 Japanese Patent Laid-Open No. 10-188701

  By the way, depending on the amount of pollution, it is managed separately from lightly polluted area, mediumly polluted area, and heavily polluted area. There are areas that come out. Until now there was no way to make a quantitative judgment, so the current situation was that it was handled by the experience of skilled workers, and no systematic response was made. In addition, since there are many target insulators in the area through which the typhoon passes, it is desired to specify an area where preventive washing of the insulators is performed efficiently as a preventive measure in a wide range. Further, Patent Documents 1 and 2 describe a method for estimating the amount of contamination of the insulator using the pilot insulator, and the system and method for supporting the water washing operation in a preventive manner corresponding to the contamination state of the insulator. Not supported.

  The present invention has been made in view of the above-described circumstances, acquires the amount of contamination of the pilot insulator via the communication network, and installs the position information where the pilot insulator is installed and the pilot insulator. Based on information such as distance from the sea, topography, relationship with surrounding buildings, wind direction, air volume, etc. as an environment, classify regions according to the degree of pollution, and acquire typhoon information, and acquire typhoon information In addition, the cocoon pollution area prediction system, method, and method for predicting the pollution of the cocoon in the area of the typhoon, and determining the areas in which preventive washing operations are performed in order of the degree of pollution before the typhoon passes according to the prediction, and The purpose is to provide a program.

  In order to achieve the above-mentioned object, the insulator pollution area prediction system according to the present invention includes a pollution amount acquisition means for acquiring the pollution amount of the pilot insulator via the communication network, and the pilot insulator contamination amount in the pollution amount accumulation database in time series. From the accumulated pollution amount registering means, the position information database that stores the position information where the pilot insulator is installed, the position information acquisition means that acquires the position information, and the environment information database that stores the installation environment information of the pilot insulator Environmental information acquisition calculation means for acquiring information, and fouling area sorting means for sorting areas according to the degree of fouling amount using the fouling amount accumulation database.

  According to the present invention, the amount of pollution of the pilot insulator can be acquired via the communication network, and the region can be classified according to the degree of the amount of contamination using the acquired amount of contamination. It is no longer necessary to manually register the pollution status in the system, and work can be performed efficiently.

  Preferably, the position information is GIS information, and includes GIS information registration means for registering position information and additional information in the GIS information, and the position information acquisition means adds the position information and additional information of the pilot insulator from the GIS information. Configure to obtain information.

  According to the present invention, since the position information of the pilot insulator and the contamination status and other information related to the pilot insulator can be stored together by using the GIS information, the position information and the contamination information are stored as separate data. Compared to storage, information can be handled much more easily.

  Furthermore, the typhoon information is acquired from the weather information database that stores the weather information, the position information of the insulator is acquired from the position information database, the pollution amount of the insulator is acquired from the pollution amount accumulation database, and the typhoon information and the position information of the insulator are obtained. It is also preferable to include a typhoon salt damage prediction means for predicting the damage status of salt damage caused by a typhoon based on the contamination information of the insulator.

  According to the present invention, since the pollution situation of the pilot insulator due to the typhoon can be predicted from the acquired pollution situation and the typhoon information, it is possible to easily know the area of the live insulator that is severely contaminated by the typhoon passage.

  The weather information database is preferably configured to be acquired via a communication network.

  According to the present invention, since weather information can be acquired from a communication network, it is possible to perform work efficiently without having to manually acquire weather information and manually register it in the system.

  Further, the insulator pollution area prediction system includes the pilot insulators by area classified by the pollution area classification means, the salt damage prediction situation predicted by the typhoon salt damage prediction means, and the past pilot insulator damage situation caused by the typhoon. By referring to the typhoon damage situation database that stores the data, it is provided with preventive flush area determination means for identifying the contaminated area to be cleaned that exceeds the degree of damage predicted by the typhoon that is predicted in advance. It is also preferable to do this.

  According to the present invention, it is possible to predict the area where the typhoon will damage the insulators, and to predict the area where the preventive water washing operation is performed before the typhoon passes. Therefore, the preventive water washing operation that has not been properly handled until now. Will be able to do. Note that the preventive water washing operation is not limited to water washing as long as it is a means for reducing the amount of fouling of the insulator.

  Further, the typhoon salt damage prediction means performs salt damage prediction at a predetermined time, stores the result in a typhoon salt damage prediction situation database, and the preventive flush area determination means uses the typhoon salt damage prediction situation database for prevention. It may be configured to determine the order of preventive flushing operations in areas where a typical flushing operation needs to be performed.

  According to the present invention, it is possible to create an order for performing preventive water washing operations in a region where the hot water insulators found in an area damaged by a typhoon are subjected to preventive water washing operations. Therefore, it is possible to perform preventive water washing work in accordance with the specified order, and to improve the work efficiency.

  More preferably, the typhoon salt damage prediction means predicts a rainfall amount based on the acquired typhoon information, and the preventive flush area determination means determines the specified cleaning target if the predicted rainfall amount is equal to or greater than a predetermined threshold. Even if it is a pollution area, it constitutes so that it may decide not to perform preventive water washing work.

  According to the present invention, in the case of a typhoon with a large amount of rainfall, when it is possible to expect more than the amount of rainfall determined in the past performance, it is not necessary to perform preventive water washing work by the typhoon, so the insulator is efficiently Preventive water washing can be performed.

  Further, it is preferable that the information processing apparatus further comprises a fouling area washing order creating means for creating a preventive water washing operation sequence for the insulators in the fouling area from the sorted information on the fouling area.

  According to the present invention, it is possible to create a work order for a region that is a target of a preventive flushing operation, and thus it is possible to efficiently perform a preventive flushing operation.

  More preferably, the positional information database stores the positional relationship and the strength of water washing during the preventive water washing operation of the insulator, and the fouling area washing order creation means uses the position information to prevent the eggplant from being washed with preventive water. The positional relationship and the strength of washing in the work are acquired, and the above-described created insulators are additionally created for each preventive washing work order.

  According to the present invention, it is possible to know in advance the position and strength of water washing of the insulator that is the subject of preventive water washing work, so that efficient work can be performed, and water resources are appropriately used. Can be handled.

  Furthermore, it is preferable that the typhoon salt damage prediction means is configured to superimpose the typhoon information and a map of the predicted pollution situation due to the typhoon and notify the location requiring preventive water washing work before the typhoon.

  By this invention, since the area which performs a water washing operation | work before a typhoon is known, a water washing operation can be performed efficiently.

  Furthermore, it is preferable to provide a recommended washing time determination unit that calculates a washable time from the amount of fouling and the wind speed information.

  According to the present invention, since the washable time can be calculated from the amount of fouling and the wind speed information of the typhoon, it is possible to perform preventive water washing at an appropriate time.

  In order to achieve the above object, a method for predicting an insulator contamination area according to the present invention includes an acquisition amount step for acquiring the contamination amount of a pilot insulator via a communication network, and the pilot insulator contamination amount in a contamination amount accumulation database in time series. Environment information from the accumulated pollution amount registration step, the location information database that stores the location information where the pilot insulator is installed, the location information acquisition step that acquires the location information, and the environment information database that stores the installation environment information of the pilot insulator It includes an environmental information acquisition calculation step for acquiring information, and a polluted area classification step for sorting areas according to the degree of the pollutant amount using the pollutant amount accumulation database.

  In order to achieve the above object, an insulator debris area prediction program according to the present invention is a program that operates on a computer that predicts decontamination of an insulator, and obtains an amount of decontamination of a pilot insulator via a communication network. A contamination amount registration process for accumulating the pilot insulator contamination amount in the contamination amount accumulation database in time series, and a position information acquisition process for acquiring position information from the position information database for storing the position information where the pilot insulator is installed And an environmental information acquisition calculation process for acquiring environmental information from an environmental information database for storing the installation environment information of the pilot insulator, and a polluted area classification process for classifying the areas according to the degree of the pollutant quantity using the polluted quantity accumulation database. It is characterized by being operated on a computer.

  According to the present invention, the amount of contamination of the pilot insulator is acquired via the communication network, and the degree of contamination is determined based on the location information where the pilot insulator is installed and the installation environment information where the pilot insulator is installed. Classification of areas, and acquisition of typhoon information, based on the acquired typhoon information, predict the amount of cocoon pollution in the area of the typhoon, and in accordance with that prediction, before the typhoon passes It is possible to determine the area where preventive water washing work is performed.

  Embodiments of the present invention will be described below. In FIG. 1, the functional block diagram of the insulator pollution area prediction system 1 concerning the 1st Embodiment of this invention, the pollution status notification apparatus 5 which communicates with this system, and the weather system 3 is shown. In FIG. 1, the insulator contamination area prediction system 1 is connected to the contamination state notification device 5 and the weather system 3 via a communication network 4.

  Here, the insulator pollution area prediction system 1 is managed and operated by an electric power company or a service provider that manages the pollution situation of the pilot insulator. Further, the contamination status notification device 5 is a plurality of devices that measure the contamination status of the pilot insulator and notify the measured contamination status via the communication network 4.

  The insulator contamination area prediction system 1 includes a transmission / reception unit 12 for transmitting / receiving data via the communication network 4, a central processing unit 13 for processing data received from the transmission / reception unit 12, and various other processes, Are stored in the storage unit 14 and the input / output unit 15 and the display unit 16 for inputting / outputting data to / from the central processing unit 13.

  Further, the central processing unit 13 is a transmission / reception processing means (function) 131 that exchanges data with the transmission / reception unit 12, and an input / output processing means (function) 132 that exchanges data with the input unit 15 or the display unit 16. , Information registration means (function) 133 for registering the information of the insulator received via the input / output processing means (function) 132 or the transmission / reception processing means 131, and the target pilot insulator with reference to the contamination amount accumulation database (DB) 151 Contamination amount acquisition means (function) 134 for acquiring the contamination amount of the pilot insulator, a contamination amount registration means (function) 135 for storing the contamination amount of the pilot insulator received from the contamination state notification device 5 in the contamination amount accumulation DB 151, a position information database ( DB) Reference to 152, position information for acquiring position information such as latitude and longitude of the place where the target pilot insulator is installed Referring to the obtaining means (function) 136 and the environment information database (DB) 154, as the environment information of the target pilot insulator, the distance from the sea, the terrain, the relationship with the surrounding buildings, and the wind measured at the predetermined period Environmental information acquisition calculation means (function) 137 for acquiring the direction and air volume, etc., and a polluted area classification means (function) 138 for separating the area into lightly polluted areas, mediumly polluted areas, and heavily polluted areas from the received pilot insulator pollution status, GIS information registration means (function) 139 for registering the pollution status of the corresponding pilot insulator in the GIS information that is stored as map information by dividing the region, and the past of the pilot insulator based on the typhoon information received from the weather system 3 By referring to the pollution status of typhoons, the amount of pollution caused by typhoon passage is taken into account and stored in the typhoon salt damage prediction status database (DB) 157. Typhoon salt damage prediction means (function) 140, preventive water washing area determination means 141 for specifying an area that needs water washing before passing the typhoon based on information of the typhoon salt damage prediction situation DB 157, preventive before the typhoon passage It is composed of a soiled area cleaning order creating means 142 that creates an order of areas where preventive water washing work is performed by arranging the areas that require clean water work in descending order of the degree of pollution.

  In addition, the storage unit 14 includes a pollution amount accumulation database (DB) 151 that accumulates the pollution status of each pilot insulator received from the pollution status notification device 5 in time series, the latitude / longitude of the installation location of each pilot insulator, A location information database (DB) 152 that stores location information such as link information such as a URL (Universal Resource Locator) to a map, and a GIS information database (DB) that stores time-series contamination information of pilot insulators in addition to the location information 153, environmental information database (DB) 154 storing the wind direction, air volume, etc. of each pilot insulator in time series, traveling direction, traveling speed, current position of typhoon information received from the weather system 3, Weather information database (D) that stores typhoon intensity (maximum wind speed), typhoon magnitude (strong wind region), rainfall, etc. in time series B) 155, composed of a typhoon damage situation database (DB) 156 that stores the past typhoon pollution situation for each pilot insulator, and a typhoon salt damage prediction situation database (DB) 157 that preserves the prediction situation of pilot insulator damage caused by the current typhoon Has been.

  The fouling status notification device 5 includes a transmission / reception unit 52 for transmitting / receiving data via the communication network 4, a central processing unit 53 for processing data from the transmission / reception unit 52, and data between the central processing unit 53. Input / output unit 55 and display unit 56, and a contamination amount measuring unit 57 for measuring the contamination amount of the target pilot insulator.

  The meteorological system 3 includes a transmission / reception unit 32 for transmitting / receiving data via the communication network 4, a central processing unit 33 for processing data from the transmission / reception unit 32, and a central processing unit, similar to the pollution status notification device 5. An input unit 35 and a display unit 36 for inputting / outputting data to / from the unit 33, and meteorological data 37 for storing observed meteorological data.

  The communication network 4 is a communication network for connecting the insulator contamination area prediction system 1, the contamination status notification device 5, and the weather system 3 using a predetermined communication protocol that is a dedicated communication network or a line borrowed from a communication carrier. . For example, it is possible to use a line such as ADSL (Asymmetric Distal Subsucriber Line), FTTH (Fiber To The Home), CATV (Community Antenna TeleVision).

  In FIG. 2, the outline | summary of operation | movement of the insulator pollution area prediction system 1 is shown. The pilot insulator's fouling information, fouling classification (light, medium, heavy), fouling amount (F02) is registered in the GIS information database (F01), and the fouling status of the insulator is managed in the GIS information database (F04) . Furthermore, as the typhoon information (F03) from the weather system 3, the amount of pollution of the pilot insulator by the past typhoon information from the typhoon position information (latitude / longitude), predicted route (traveling direction), wind speed, magnitude, rainfall, etc. This makes it possible to predict the area damaged by the typhoon (F05), and to prevent the hot insulators from being washed before the typhoon arrives (F06). A series of operations are shown.

  In FIG. 3, the network block diagram of the coconut-stained area prediction system 1 is shown. As shown in FIG. 3, the present cocoon-stained area prediction system 1 is configured by mutually connecting a cocoon-stained area prediction system 1, a pollution status notification device 5, and a weather system 3 via a communication network 4.

  FIG. 4 shows a configuration example of the fouling amount accumulation DB 151. The fouling amount accumulation DB 151 stores the fouling amount of each pilot insulator for each pilot insulator. In this embodiment, the fouling amount is measured in units of one month and stored in time series. The column for the amount of contamination represents the amount of contamination on the measurement date. The portion described as “Washing (999)” indicates that 999 indicating water washing is registered because water washing is performed on that day. The “999” is not fixed and may be anything that can be distinguished from the amount of fouling. This may be a method in which a person in charge of measuring the amount of pollution goes to the site, performs measurement using the pollution amount status notification device 5, and transmits the result to the insulator contamination area prediction system 1 via the communication network 4. The pollution status notification device 5 voluntarily measures the amount of pilot insulator contamination in a predetermined cycle, and transmits the measured amount of contamination to the insulator contamination region prediction system 1 via the communication network 4. But it ’s okay.

  FIG. 5 shows a configuration example of the position information DB 152. The position information DB 152 includes link information such as a lever ID assigned to each pilot lever, a position registration number, a position including a latitude / longitude, an address, and a URL to a map. The link to the map is configured on the screen performed by the operator so that when the link to the map is specified (for example, clicked), a map in which the position of the target pilot insulator is plotted is displayed on the screen. use.

  FIG. 6 shows a data configuration example of the GIS information DB 153. The GIS information stores, in addition to the pilot insulator position information, the state of contamination of the pilot insulator in time series. The GIS information DB 153 in the present embodiment is configured to have information having both the contamination amount accumulation DB 151 and the position information DB 152. Therefore, in the present embodiment, when it is desired to know the position information of the pilot insulator, the position information can be acquired by accessing either the position information DB 152 or the GIS information 153.

  FIG. 7 shows a configuration example of a map of GIS information. As shown in FIG. 7, the GIS information divides the length on a certain map into unit squares, assigns an ID to one square, and designates a certain area on the map. Furthermore, the GIS information can have various attribute information in addition to its position. In the present embodiment, the attribute information is used to store the pilot insulator defacement state in time series.

  FIG. 8 shows a data configuration example of the environment information DB 154. Preserves the distance from the sea where the pilot lion is installed, topography such as flat or hilly or basin, whether there is a relationship with surrounding buildings, and the wind direction and volume measured in time series for each date and time is doing. Information such as latitude and longitude may also be stored.

  9 and 10 show the structure of the area ID. A plurality of insulators belonging to the region are linked to the region ID, and further, as shown in FIG. 6, the amount of contamination of the insulator and the date of measurement thereof are stored. FIG. 10 is a diagram illustrating the relationship between regions and pilot insulators that can output pilot insulators belonging to the region when the region is designated.

  FIG. 10 is a data configuration example of the GIS information database including the area ID for the pilot insulator. When a pilot insulator is designated, the region to which the pilot insulator belongs is determined.

  FIG. 11 shows the difference between the wash target area, the current amount of contamination of the pilot insulators in that region, the increase rate of the amount of contamination, and the threshold value of the amount of object to be washed when performing preventive washing operations. A cleaning schedule to be stored is shown.

Next, operations performed by each means (function) will be described below with reference to flowcharts.
[1. Information registration]

  FIG. 12 is a flowchart showing an operation of registering position information and environmental information in the insulator defaced area prediction system 1. An operator such as a system administrator registers information on position information and environment information using a keyboard and screen directly connected to the system. First, registration of position information or environment information is requested (S121b). Receiving the registration request (S121a), the insulator polluted area prediction system 1 transmits an input screen for position information or environmental information (S122a).

  The received input screen (S242b) is displayed on the screen (S122b). When the operator presses the registration button after inputting the location information or the environment information, the input location information or the environment information is obtained from the insulator contamination area prediction system 1 (S123b). The position information or environment information requesting the registration is received (S123a), and the insulator polluted area prediction system 1 stores the input content in the position information DB 152 or the environment information DB 154 (S124a).

  Next, the insulator contamination area prediction system 1 determines whether all registration information is registered (S125a), and if not registered, repeats the above processing from step S122a until registration of all registration information is completed. . When registration of all registration information is completed, the completion of registration is notified (S126a), and the process is terminated. Registration completion is displayed on the screen that has received the notification of registration completion (S124b).

In the present embodiment, the keyboard and the screen directly connected to the cocoon-stained area prediction system 1 are used in the present embodiment, but the information can also be registered from an external terminal via the communication network 4. Similarly, information can also be registered from terminals connected in the network of the cocoon-stained area prediction system 1.
[2. Registration to GIS information DB]

FIG. 13 is a flowchart showing an operation for registering GIS information. This operation is performed by the GIS information registration unit 139. First, the position information and the amount of contamination of the pilot insulator are acquired by starting the position information acquisition routine (S131) and the amount of contamination acquisition routine (S132). By referring to the GIS information corresponding to the acquired position, the position information, the measurement date of the contamination amount, and the contamination amount are registered in chronological order as GIS information (S133). Next, it is determined whether all pilot insulators have been operated (S134). If not, the next pilot insulator is designated (S135) and the process returns to step S141, and the processing of all pilot insulators is completed. Repeat until the process. If all pilot insulators have been processed (yes route in S134), the process ends.
[3. Measurement of contamination amount]

  FIG. 14 is a flowchart showing an operation for measuring the amount of contamination. This operation is an operation performed by the contamination amount acquisition means (function) 134. The measurement of the amount of contamination has a function of measuring the amount of contamination of the pilot insulator in each region by the contamination state notification device 5, acquiring the amount of contamination notified through the communication network 4, and registering it in the contamination amount accumulation DB 151.

  First, the amount of contamination of the target pilot insulator measured from the contamination status notification device 5 is notified via the communication network 4. The contamination status notification device 5 measures the amount of pilot insulator contamination in the contamination amount measurement unit 57 and notifies the central processing operation unit 53 of the measured value, and the central processing operation unit 53 notifies the transmission / reception unit 52 of the contamination. The amount is instructed to be transmitted to the insulator debris area prediction system 1. The transmission / reception unit 52 communicates with the transmission / reception unit 12 of the insulator contamination area prediction system 1 via the communication network 4 in accordance with a mutually defined communication protocol to notify the amount of contamination (S141b).

The insulator contamination area prediction system 1 receives the contamination amount information (S141a), and acquires the contamination amount of the target pilot insulator (S142a). Next, a fouling amount registration routine is started in order to register the fouling amount received in the fouling amount accumulation DB 151 (S143a). Although error processing is not described in the present embodiment, appropriate error processing is performed when there is a problem.
[4. Filing amount registration]

FIG. 15 shows a flowchart of an operation performed by a fouling amount registration routine which is a routine for registering a fouling amount in the fouling amount accumulation DB 151. This operation is an operation performed by the contamination amount registration means (function) 135. The contamination amount registration routine refers to the contamination amount accumulation DB 151 using the specified insulator ID, and registers the contamination amount corresponding to the date and time received in the corresponding area (S151).
[5. Location information acquisition]

FIG. 16 is a flowchart showing the operation of a position information acquisition routine for acquiring the position of the pilot insulator. This operation is performed by the position information acquisition unit (function) 136. First, the position information DB 152 is referred to with the specified lever ID (S161), and the longitude / latitude of the place where the pilot lever is installed is acquired as the position information (S162).
[6. Environmental information acquisition and calculation]

  FIG. 17 is a flowchart showing an operation of a routine for acquiring environment information of a place where the pilot insulator is installed. This operation is performed by the environment information acquisition calculation means (function) 137. First, referring to the environmental information DB 154 with the specified lion ID (S171), the distance from the sea of the place where the pilot lion is installed as environmental information, topography such as plains, hills and basins, and surrounding buildings And the measured value of the designated date and time out of the wind direction and the air volume measured at a predetermined time interval are acquired (S172).

  FIG. 18 is a flowchart showing the operation of the environmental information calculation routine for obtaining the increase rate of the contamination amount based on the environmental information. This operation is performed by the environment information acquisition calculation means (function) 137. First, the environment information acquisition routine is activated to acquire registered environment information (S181). In the present embodiment, it is information on the distance from the sea, the topography, the relationship with surrounding buildings, and the wind direction and air volume collected every hour.

The acquired environmental information elements (distance from the sea, topography, relationship with surrounding buildings, wind direction, air volume, etc.) are used as environmental parameters (S182), and the past pollution amount accumulation database 151 is referred to and searched for by the environmental parameters. An increase rate of the amount is calculated (S183). The calculated increase rate of the fouling amount is stored for each insulator ID (S184). Next, it is determined whether or not all pilot insulators have been processed. If not, the next pilot insulator is designated (S185), and the process is repeated from step S181 until all pilot insulators are finished. If all pilot insulators have been processed, the process ends (yes route in S185). This calculation is performed periodically or on demand to predict the rate of increase in the amount of fouling.
[7. Dirty area separation]

  FIG. 19 is a flowchart illustrating an operation performed to determine light, medium, and heavy as the contaminated area. This operation is an operation performed by the contaminated area sorting means (function) 138. First, the “fouling amount acquisition routine” is started in order to acquire the fouling amount by designating the pilot ID of the pilot insulator (S191). In order to judge light, medium and heavy according to the acquired amount of pollution, the threshold of the lightly polluted area is compared with the acquired amount of pollutant (S192), and if it is mild, the area of the pilot insulator is classified as a lightly polluted area. (S193). If it is not mild, then the medium or medium threshold is compared with the acquired amount of pollution (S194), and if it is moderate, the area of the pilot insulator on the street is classified as a medium pollution area (S195).

If it is not moderate, the area of the corresponding pilot insulator is classified as a heavily polluted area because it is severe (S196). Next, it is determined whether or not all pilot insulators have been operated. If not completed, the next pilot insulator is designated (S198), and the process is repeated from step S191 until the processing of all pilot insulators is completed. If all pilot insulators have been processed, the process ends (yes route in S197).
[8. Creation of planned date for local flushing]

  FIG. 20 is a flowchart showing an operation of making a prediction of the schedule for washing the hot-line insulator in each region according to the degree of contamination. This operation is an operation performed by the soiled area cleaning order creation means (function) 142. First, the following operations are performed for each region. The pilot insulators existing in the region are arranged in the order of the high degree of contamination (S201). It is determined whether processing has been performed for all pilot insulators belonging to all regions. If not, the next pilot insulator in the region is designated (S203), and all pilots in the region are designated from step S201. Repeat until the end of the process.

  When the processing of all pilot insulators in the region is completed (yes route of S202), the next most highly contaminated pilot insulator is extracted, and the average increase rate of pollution of the pilot insulator or the pilot insulators in the region is extracted. Is calculated by comparing with past data (S204). For example, it is possible to obtain an average of the monthly increase rate of the corresponding pilot insulator in the past several months (years). Alternatively, in FIG. 18, the average increase amount of the pilot insulator having the highest degree of contamination may be used or the average value of the region may be used by using the increase rate (contamination increase rate) of the contamination amount based on the environmental information.

  When the threshold value of the amount of pollution that is the target of the preventive water washing operation is reached, it is calculated and rounded (S205). For example, by calculating as shown in the calculation formula B in FIG. 21, it is possible to determine how many months after the threshold is exceeded. The calculated number of months is added to the current date and registered as a scheduled date for preventive flushing work (S206). Next, it is determined whether or not the above operation has been performed in all regions (S207). If not, the next region is designated (S208), and the above operation is performed until the processing of all regions is completed from step S201. repeat. When the processing of all the areas is completed (yes route in S207), a table of the preventive flushing scheduled dates for each calculated area is created (S209), and the process ends. The table to be created is as shown in FIG. 11, the scheduled date when the preventive water washing operation needs to be performed, the current amount of contamination that is the amount of contamination of the pilot insulator indicating the current maximum amount of contamination, The rate of increase in the amount of fouling every month, the difference value from the washing threshold, etc. are described, and the person in charge can easily judge.

This scheduled date is determined based on the pilot insulator that shows the maximum amount of pollution in the area, and most of the hot-line insulators in the area where actual water washing operations are carried out are based on the amount of pollution indicated by the pilot insulator. I expect to say that the degree of fouling will be low.
The first embodiment of the present invention is configured and operates as described above.

  According to the present invention, since the pollution situation of the pilot insulator can be measured and the measured pollution amount can be notified to the insulator pollution area prediction system via the communication network, the insulator pollution area prediction system can be controlled by the acquired pollution situation. It becomes possible to classify the pollution situation of the area represented by Choshi. Further, when using GIS information, the contamination amount can be stored in time series as other attributes in addition to the position information, so that the contamination amount can be easily managed. Further, since GIS information is a public interface, it is possible to effectively use the information. Also, in areas where hot water insulators are frequently rinsed, the flushing device can be used constantly, so that it can be fixedly installed and remotely controlled.

  In addition, since it is possible to schedule the hot water insulators to be washed proactively in each district, even inexperienced personnel can take charge of the hot insulator insulators without relying on veteran experience. Become.

  Next, a second embodiment will be described below. In the second embodiment, the typhoon information is acquired from the weather system 3, and the amount of pollution due to the typhoon of the pilot insulator in the area where the typhoon is scheduled is predicted based on the acquired weather information of the typhoon. The hot-line insulators in the areas that reach this point are extracted, and preventive water washing work is performed before the typhoon causes pollution.

  FIG. 22 shows a data configuration example related to typhoon information in the weather information DB 155. The typhoon information may be obtained directly from the weather system 3, or an operator may log in to the weather system 3 to obtain necessary information from the weather data 37 and store it as the weather information DB 155. When having an interface with the meteorological system 3, the meteorological system 3 extracts information on the typhoon from the meteorological data 37, and instructs the transmitting / receiving unit 32 to transmit the typhoon, and the transmitting unit 32 follows the communication protocol, and the insulator debris area prediction system 1 The typhoon information extracted by communicating with the transmitting / receiving unit 12 is notified. In this case, although not described in the central processing unit 13, there are means having a function of communicating with the weather system 3.

  The weather information DB 155 stores the typhoon traveling direction, traveling speed, typhoon current position, typhoon intensity (maximum wind speed), and typhoon size (for each typhoon ID identifying each typhoon, for each time determined by the date. Strong wind area) and current rainfall are stored.

  FIG. 23 is a data configuration example of the typhoon damage situation DB 156 that stores the damage damage situation of pilot insulators caused by past typhoons. This information stores, for each typhoon ID, a link to the weather information DB 155 of the typhoon and a link to data for storing the degree of contamination of the pilot insulator. When the link to the weather information DB 155 is accessed, it is possible to acquire the traveling direction, traveling speed, size, strength, etc. of each typhoon in the past.

  In the link to the degree of pollution of the pilot insulator, the insulator ID of the insulator that has been damaged, the amount of damage caused by the typhoon, the closest approach distance of the typhoon, the total rainfall, and the like are stored. With this information, statistics of past rainfall, closest approach distance, etc. are taken, and the typhoon damage situation DB 156 that stores past information such as current typhoon traveling direction, traveling speed, strength, size, rainfall, etc. By comparing, it is possible to predict the amount of fouling.

  FIG. 24 shows an example of the data structure of the typhoon salt damage prediction situation DB 157 that predicts and stores the amount of cocoon fouling at each time with reference to the typhoon damage situation DB 156 based on the current typhoon information. Each typhoon ID is composed of a cocoon ID of the cocoon that is predicted to receive salt damage for each date and time, and the amount of contamination. In the present embodiment, the contamination amount is not the difference but the contamination amount itself. The difference for each time can be obtained by obtaining the difference for each time.

Next, operations such as prediction of pollution caused by a typhoon and determination of an area where preventive water washing work is performed during the typhoon of the insulator before being damaged by the typhoon will be described with reference to flowcharts.
[9. Prediction of salt damage from typhoons]

FIG. 25A is a flowchart showing the operation of a typhoon salt damage prediction routine for predicting salt damage (fouling) of a typhoon. This operation is performed by the typhoon salt damage prediction means 140. First, typhoon information is acquired from the weather information DB 155 (S251). It is determined whether there is typhoon information. If there is no typhoon information, the process is terminated (no route in S251). If there is typhoon information, attribute information such as the position, traveling direction, traveling speed, strength, and size is acquired as the latest typhoon information (S252). Next, the target MAP code existing in the strong wind region is extracted from the GIS information, and the following operation is performed on the extracted MAP code (S253). Depending on whether the position of the corresponding MAP code is in a strong wind region or in a storm region, the predicted accumulation values of the strong wind region and storm region are calculated from T251 of the typhoon information conversion table shown in FIG. Obtain and add from the relative position and register in the typhoon salt damage information DB (S254). It is determined whether or not the value of the added pollution amount has reached the threshold for preventive water washing (S255), and if not, nothing is done (no route of S255). When it has reached, it outputs on a map or a list as a preventive flush recommended area (S256). Next, it is determined whether all target MAP codes have been checked (S257). If not completed, the next MAP code is designated (S258), and the processing of all target MAP codes is completed from step S254. The above processing is repeated until When the processing for all the target MAP codes has been completed (yes route in S257), the present embodiment waits for 10 minutes (S259) and then continues the processing from step S251 again. The value for 10 minutes can be changed on the system.
[10. Identification of areas to be washed by typhoons]

  FIG. 26 is a flowchart showing the operation of a “preventive flush area determination routine” for determining an area where contamination by a typhoon is predicted. As described above, this is a routine for extracting an area where it is necessary to perform preventive water washing work before passing the typhoon from the amount of fouling caused by the influence of the typhoon. This operation is an operation performed by the preventive flush area determination unit 141. First, it is determined by referring to the typhoon salt damage prediction situation DB 157 whether the predicted amount of pollution due to the influence of the typhoon is equal to or greater than a predetermined amount of pollution (S261).

If the amount of contamination is equal to or greater than a predetermined threshold, the pilot insulator ID and its position information are stored in the cleaning target contamination area (S262). Next, it is determined whether or not the processing has been completed for all target pilot insulators (S263). If not completed, the next pilot insulator is designated (S264), and the processing is repeated from step S261 until the processing of all pilot insulators is completed. If all pilot insulators have been processed, the process ends (yes route in S263). The areas that are expected to be severely damaged by the typhoon are identified.
[11. Ordering of areas subject to flushing]

  FIG. 27 shows a “stained area that gives a preventive water washing operation order from a highly contaminated area among the contaminated areas that are predicted to be damaged by the extracted typhoon. 7 is a flowchart showing an operation of a “cleaning order determination routine”. This operation is performed by the soiled area cleaning order determination unit 142. First, the data is rearranged in the order of the amount of pollution from the preventive flush area prepared by the preventive flush area determination routine or the preventive flush area recommended by the typhoon salt damage prediction routine using the pilot insulator as a key (S271).

  The rearranged information is stored again as a cleaning target contaminated area as an order of preventive water washing operations in the contaminated area (S272). Next, it is determined whether or not the processing has been completed for all target pilot insulators (S273). If not completed, the next pilot insulator is designated (S274), and all target pilot insulators are selected from step S271. Repeat until the process is complete. When all the target pilot insulators have been processed, the process ends (yes route in S273).

  The order in which preventive flushing work is performed by arranging areas where pollution damage due to typhoon occurs due to this operation in order from the place where the degree of pollution is large. In this embodiment, sorts are made in order of the number of stains, but if there are other urgency levels, attributes such as urgency levels other than pollution levels are assigned, and the order is changed depending on the urgency level or importance level. Is possible.

  FIG. 28 is a flowchart showing an operation for performing water washing as an area, instead of water washing work for individual pilot insulators, for pollution caused by a typhoon. This operation is an operation performed by the fouled area cleaning sequence creation (function) 142. First, the pilot insulators stored in the preventive flush area determination routine are rearranged in descending order of the amount of contamination (S281). Next, it is determined whether or not the processing has been completed for all the target pilot insulators. If not, the next target pilot insulator is designated (S283), and the processing of all target pilot insulators is performed from step S281. The above operation is repeated until the end.

  When all the target pilot insulators have been processed, the following operation is performed according to the rearranged order (S284). The region order area is searched for whether or not the region to which the pilot insulator currently performing the operation belongs is registered in the region order area in which the order of performing the water washing operation before the typhoon is registered (S285). If it is already registered, the process proceeds to step S287 without doing anything. If there is no registration, the area to which the target pilot insulator currently working at the end of the area order area belongs is registered with the area ID (S286).

  Next, it is determined whether or not the processing has been completed for all target pilot insulators (S287). If not, the next target pilot insulator is designated (S288), and all target pilot insulators are selected from step S285. The process is repeated until the process is completed. If all the target pilot insulators have been processed, the process ends (yes route in S287).

  With this operation, as shown in FIG. 29, the areas are registered in the regional order area as areas where water washing operations are performed in descending order from the highest priority area before the typhoon. The person in charge of water washing in the hot line can see the regional order area and perform the water washing work in order and efficiently.

  According to the present embodiment, it is possible to predict the area of the hot-line insulator that is severely polluted by the passage of the typhoon, and further to arrange the areas in the order of the degree of pollution, so it is preventive before the passage of the typhoon. It is possible to perform preventive water washing operations in order of increasing degree of pollution in areas where water washing operations are required. In addition, the predicted degree of pollution is expected to increase from the area where the typhoon is approaching, so that it can be expected to be able to go to preventive water washing work in order. In addition to performing washing operations for each pilot insulator, it is possible to wash hot-line insulators prior to the typhoon in priority order on a regional basis, so that they can be washed efficiently and in order without relying on veteran experience. be able to.

  In this embodiment, by calculating the traveling direction and traveling speed of the typhoon as parameters, it is possible to specify the time to go to the area where the preventive flushing operation is performed when specifying the order of the degree of pollution. It is.

  Next, a third embodiment according to the present invention will be described with reference to FIGS. In the third embodiment, the washing position of the insulator and the strength of the water ejection amount at each place when performing the preventive water washing operation of the hot wire insulator are stored and notified to the person in charge of washing.

FIG. 30 stores the hot insulator cleaning position and the strength of water ejection in the position information DB 152 shown in FIG. When creating a sequence of preventive flushing operations based on this information, the person in charge of the preventive flushing operation of the hot-line insulators washes by simultaneously creating the cleaning position at that location and the strength of the water ejection amount. It is possible to know the position and the strength of the water ejection amount in advance.
[12. Washing position and water ejection volume]

  FIG. 31 is a flowchart in which the washing position and the strength of the water ejection amount are added to the preventive flush area determination routine shown in FIG. Compared with FIG. 26, the process in step S262 is different from the process in step S312 in FIG. In step S312, the pilot insulator ID and its position information, the washing position, and the strength of the amount of water ejected are stored in addition to the higher rank in the data on the contaminated area to be washed.

  According to the present embodiment, since the person in charge of washing can know in advance the washing position of the hot-line insulator and the strength of the amount of water jetted, the time required for the preventive washing operation can be shortened, The amount of water required for the preventive water washing operation of the hot wire insulator is optimized, and the amount of water used can be saved. In particular, in the case of preventive water washing by typhoon, by reducing the time, it is possible to carry out preventive water washing work for a larger number of local hot insulators.

Next, a fourth embodiment of the present invention will be described with reference to FIG. In consideration of the fact that the fourth embodiment of the present invention does not require a preventive water washing operation depending on the amount of rainfall of the typhoon, it has been determined in advance by past experience based on the prediction of the amount of rainfall of the typhoon that proceeds. When the amount of rainfall is exceeded, the target pilot insulator ID is excluded from the cleaning target contaminated area.
[13. Measures for water washing due to typhoon rainfall]

  FIG. 32 is a flowchart obtained by adding processing for deleting from the contaminated area to be cleaned due to the amount of rainfall of the typhoon to the typhoon salt damage prediction routine of FIG. Compared with the flowchart of FIG. 25A, the processing of steps S321 to S323 is added. In step S321, the total rainfall due to the typhoon is calculated from the probability of the rainfall at the position of the target pilot insulator and the predicted rainfall based on the typhoon information. It is determined whether or not the calculated predicted rainfall is greater than or equal to a predetermined rainfall (S322), and if it is greater than or equal to a predetermined rainfall, preventive water washing of the hot-line insulator in the area is not performed based on experience. Then, it is removed from the contaminated area to be cleaned (S323). If it is not more than the predetermined rainfall, do nothing.

  According to the present embodiment, when the typhoon is predicted to be a typhoon with a lot of rain, it is possible to remove it from the target of preventive water washing work even in the contaminated area to be cleaned. You can visit the target area for preventive water washing.

It is a functional block diagram of the insulator corruption area prediction system concerning the 1st embodiment of the present invention. It is a figure which shows the operation | movement outline | summary of the insulator pollution area prediction system concerning the 1st and 2nd embodiment of this invention. It is a network block diagram of the insulator pollution area prediction system concerning the 1st and 2nd embodiment of this invention. It is an example of a data structure of pollution amount accumulation | storage DB of FIG. It is a data structural example of position information DB of FIG. It is a data structural example of GIS information DB of FIG. It is a structural example of the map of GIS information DB of FIG. It is a data structural example of environment information DB of FIG. It is a structural example of the area concerning the 1st Embodiment of this invention. It is a data structural example of GIS information DB of FIG. It is a cleaning schedule concerning the 1st embodiment of the present invention. It is a flowchart which shows the process sequence which the information registration means of FIG. 1 performs. It is a flowchart which shows the process sequence which the GIS information registration means of FIG. 1 performs. It is a flowchart which shows the process sequence which the pollution amount acquisition means of FIG. 1 performs. It is a flowchart which shows the process sequence which the contamination amount registration means of FIG. 1 performs. It is a flowchart which shows the process sequence which the positional information acquisition means of FIG. 1 performs. It is a flowchart which shows the process sequence which the environment information acquisition calculating means of FIG. 1 performs. It is a flowchart which shows the process sequence which the environment information acquisition calculating means of FIG. 1 performs. It is a flowchart which shows the process sequence which the pollution area classification | category means of FIG. 1 performs. It is a flowchart which shows the process sequence which determines the schedule of the water washing operation | work for every area concerning the 1st Embodiment of this invention. It is an example of the numerical formula used in FIG. It is a data structural example of the weather information DB of FIG. 1 concerning the 2nd Embodiment of this invention. It is an example of a data structure of the typhoon damage situation DB of FIG. 1 concerning the 2nd Embodiment of this invention. It is a data structural example of the typhoon salt damage prediction condition DB of FIG. 1 concerning the 2nd Embodiment of this invention. It is the flowchart (FIG.25 (a)) which shows the process sequence which the typhoon salt damage prediction means concerning the 2nd Embodiment of this invention performs, and the data structural example (FIG.25 (b)) of a typhoon information conversion table. It is a flowchart which shows the process sequence which the preventive flush area determination means concerning the 2nd Embodiment of this invention performs. It is a flowchart which shows the process sequence which the fouling area washing | cleaning order preparation means concerning the 2nd Embodiment of this invention performs. It is a flowchart which shows the process sequence of fouling area washing | cleaning order creation at the time of the typhoon concerning the 2nd Embodiment of this invention. It is a data registration example of the regional order area concerning the 2nd Embodiment of this invention. It is a data structural example of position information DB concerning the 3rd Embodiment of this invention. It is a flowchart which shows the process sequence which the preventive flush area determination means concerning the 3rd Embodiment of this invention performs. It is a flowchart which shows the process sequence which the typhoon salt damage prediction means concerning the 4th Embodiment of this invention performs.

Explanation of symbols

1 Choshi pollution area prediction system
DESCRIPTION OF SYMBOLS 3 Meteorological system 4 Communication network 5 Pollution status notification apparatus 12 32 52 Transmission / reception part 13 33 53 Central processing part 15 35 55 Input part 16 36 56 Display part 14 Storage part 131 Transmission / reception processing means 132 Input / output processing means 133 Information registration means 134 Dirty amount acquisition stage 135 Dirty amount registration means 136 Location information acquisition means 137 Environmental information acquisition calculation means 138 Dirty area classification means 139 GIS information registration means 140 Typhoon salt damage prediction means 141 Preventive flush area determination means 142 Dirty area cleaning order creation means 151 Contamination amount accumulation (database) DB
152 Location information (database) DB
153 GIS information 154 Environmental information (database) DB
155 Weather Information (Database) DB
156 Typhoon damage situation (database) DB
157 Typhoon salt damage prediction situation (database) DB
37 Meteorological Data 57 Pollution Amount Measurement Unit

Claims (8)

Corresponding to a plurality of pilot insulators installed in a certain area, a terminal that receives the input of the pollution amount of each pilot insulator and a computer connected to the terminal via a communication network , the insulator in the certain area An insulator debris area prediction system for predicting the defacement situation of
The calculator includes
A fouling amount accumulation database for storing the fouling amount of each pilot insulator;
A location information database for storing location information where each pilot insulator is installed;
An environmental information database for storing information on the installation environment including the distance from the sea, the topography, the relationship with surrounding buildings, the wind direction, and the air volume of each pilot insulator;
Comprising
Pollution amount acquisition means for acquiring the amount of contamination of the pilot insulator input to the terminal and the identification information of the pilot insulator specified from the terminal ;
Based on the obtained pilot insulator identification information, and fouling amount registration means fouling of the stain amount pilot insulators acquisition means has acquired, accumulated in time series in the fouling amount storage database,
Based on the acquired pilot insulator identification information, position information acquisition means for acquiring position information of the pilot insulator from the position information database;
Based on the acquired pilot insulator identification information, environmental information acquisition calculation means for acquiring information on the installation environment of the pilot insulator from the environment information database;
Based on the time-series pollution amount of each pilot insulator, the position information of each pilot insulator, and the installation environment information of each pilot insulator, the degree of insulator pollution amount in a certain area And a soiled area classification means for performing a process of classifying the area according to the degree of the amount of soiled eggplant,
A, a,
The location information is GIS information,
The GIS information further comprises GIS information registration means for registering position information and additional information,
The said position information acquisition means acquires the position information and additional information of a pilot insulator from the said GIS information, The insulator pollution area prediction system characterized by the above-mentioned. Corresponding to a plurality of pilot insulators installed in a certain area, a terminal that receives the input of the pollution amount of each pilot insulator and a computer connected to the terminal via a communication network, the insulator in the certain area An insulator debris area prediction system for predicting the defacement situation of
The calculator includes
A fouling amount accumulation database for storing the fouling amount of each pilot insulator;
A position information database for storing the position information where each of the pilot insulators is installed, the positional relationship and the strength of the water wash during the preventive washing operation of the insulators in the certain area, and
An environmental information database for storing information on the installation environment including the distance from the sea, the topography, the relationship with surrounding buildings, the wind direction, and the air volume of each pilot insulator;
Comprising
Pollution amount acquisition means for acquiring the amount of contamination of the pilot insulator input to the terminal and the identification information of the pilot insulator specified from the terminal;
Based on the acquired pilot insulator identification information, the pollution amount registration means for accumulating the pollution amount of the pilot insulator acquired by the contamination amount acquisition means in time series in the contamination amount accumulation database;
Based on the acquired pilot insulator identification information, position information acquisition means for acquiring position information of the pilot insulator from the position information database;
Based on the acquired pilot insulator identification information, environmental information acquisition calculation means for acquiring information on the installation environment of the pilot insulator from the environment information database;
Based on the time-series pollution amount of each pilot insulator, the position information of each pilot insulator, and the installation environment information of each pilot insulator, the degree of insulator pollution amount in a certain area And a soiled area classification means for performing a process of classifying the area according to the degree of the amount of soiled eggplant,
The position information of the area sorted by the degree of defacement of the eggplant by the defaced area classification means, the positional relationship during the preventive water washing operation of the eggplant in the certain area held by the position information database, and the strength of the washing On the basis of this information, when creating the order of the preventive water washing operation of the insulator, the fouling area washing order creation means for additionally adding the washing position and the strength of the water ejection amount at the place,
The, 碍 child fouling region prediction system that characterized the equipped Rukoto. Typhoon information is acquired from the weather information database that stores weather information, the position information of the insulator is acquired from the position information database, the amount of insulator damage is acquired from the contamination amount accumulation database, the typhoon information, the position information of the insulator, and the insulator Typhoon salt damage prediction means for predicting the damage status of salt damage due to typhoon from the pollution information of,
The insulator contamination area prediction system according to claim 1 or 2, further comprising:   The said weather information database is acquired via a communication network, The insulator polluted area prediction system of Claim 3 characterized by the above-mentioned. Refer to the regional pollution situation of the pilot cocoon sorted by the pollution area classification means, the salt damage prediction situation predicted by the typhoon salt damage prediction means, and the typhoon damage situation database that stores the past pilot cocoon damage situation caused by the typhoon A preventive flush area determination means for identifying a polluted area to be cleaned that exceeds a predetermined level of damage caused by a predicted typhoon,
The cocoon-stained area prediction system according to claim 4, comprising: The typhoon salt damage prediction means performs salt damage prediction at a set time, stores the result in a typhoon salt damage prediction situation database,
The said preventive flush area determination means determines the washing | cleaning order of the area which needs to perform a preventive flush operation using the said typhoon salt damage prediction situation database, The insulator polluted area prediction of Claim 5 characterized by the above-mentioned. system. The typhoon salt damage prediction means predicts the rainfall based on the acquired typhoon information,
The preventive flush area determining means determines that the preventive flush operation is not performed even if the predicted rainfall is equal to or more than a predetermined threshold value even in the specified contaminated area to be cleaned. The insulator polluted area prediction system according to claim 5.   The cocoon fouling area prediction system according to any one of claims 3 to 7, further comprising a rinsing recommended time determination means for calculating a rinsing time based on the fouling amount and wind speed information.

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