JP5442656B2 - Insulation measurement system - Google Patents

Description

  The present invention relates to an insulation measurement system for performing insulation measurement in a general household.

  In general households that are consumers of low voltage electricity, electrical wiring is performed to receive electricity. Currently, electric power companies conduct regular inspection work for ordinary households for the purpose of maintenance and security of ordinary households that use electricity. In this periodic inspection work, insulation measurement is performed to check the insulation resistance of the electrical wiring. In this case, the person in charge visits a general household and measures the insulation resistance using an insulation resistance meter. If electricity cannot be stopped for measurement, the person in charge measures the leakage current while the electrical wiring is in a live state. There are various methods for measuring the leakage current (see, for example, Patent Document 1).

  By such insulation measurement, insulation deterioration such as electrical wiring in a general household can be examined. Then, depending on the state of insulation deterioration, ordinary households will cope with insulation deterioration. For example, if there is a problem with the electrical wiring being used, this wiring is further investigated.

JP 2009-25219 A

  By the way, the insulation deterioration is accompanied by external factors such as weather. For example, there is a case where the insulation that was normal in the case of fine weather deteriorates in the case of rainy weather. There are also cases where insulation deteriorates due to the use of specific electrical equipment such as an air conditioner. That is, the insulation resistance in a general home varies depending on external factors such as weather, and internal factors depending on the appliances and wiring used.

  Thus, there is a problem that it is difficult for the electric power company to grasp the deterioration of the insulation that changes every day in the periodic inspection work in which the person in charge visits a general household.

  An object of the present invention is to provide an insulation measurement system that solves the above-described problems, makes it unnecessary for a person in charge to visit a general household, and makes it possible to grasp insulation deterioration caused by various factors such as weather.

In order to solve the above-mentioned problems, the invention of claim 1 is an insulation measurement system having a communication means for transmitting and receiving data to and from a communication network and using a watt-hour meter installed in a customer's house or the like. An application unit that is provided in the watt-hour meter and supplies electricity to an electrical wiring of the customer's house, etc., and a measuring means that measures a leakage current of a live wire, and is provided in the watt-hour meter, from the communication network Upon receipt of the measurement instruction, the control means for controlling the communication means to transmit the measurement data representing the leakage current measured by the measurement means to the communication network, the data related to the electrical equipment and the electrical equipment , the customer's house Data including the age of electrical equipment and electrical equipment installed in the company, the state of power usage by the customer, etc. is stored as second data, and data on the occurrence of defects in electrical wiring and electrical equipment and the age of construction And each of the electrical equipment It has storage means for storing data including the failure rate corresponding to the previous years as third data, and is the condition for extracting the customer to be measured, the building age of the house, and completion of expansion work Electrical equipment conditions that are based on later years, electrical equipment conditions that are based on the years of installation of electric water heaters, electrical air conditioning equipment, and electrical kitchen equipment installed in a house, and the occurrence of defects in electrical equipment and electrical equipment The customer corresponding to the statistical data extraction conditions, day / night conditions, individual time, day of the week, seasons, etc., and power load conditions, which are conditions of power usage, are stored in the second storage means. After extracting from the data and the third data, and sending the measurement instruction for the watt-hour meter installed in the customer's customer's home and the like extracted to the communication network, after sending the measurement instruction to the communication network, Via the communication network An insulation device comprising: a server device that, when receiving measurement data from the communication means, determines whether the insulation deterioration is good or not by comparing a predetermined value set in advance with a leakage current indicated by the measurement data; It is a measurement system.

In the invention of claim 1, the watt hour meter installed in the customer's house or the like has communication means for transmitting and receiving data to and from the communication network. The watt hour meter is provided with measuring means and control means. The measuring means is an application unit that supplies electricity to the electrical wiring of the customer's house, etc., and measures the leakage current of the live line.When the control means receives the measurement instruction from the communication network, the measurement means measures the leakage current measured by the measuring means. The measured measurement data is transmitted to the communication network by controlling the communication means. On the other hand, the server device is a condition for extracting customers to be measured, such as the age of a building in a house, the condition of electrical equipment that is based on the number of years after completion of expansion work, and the electric hot water installed in a house. Condition of electrical equipment that is based on the installation years of the air conditioner, electrical air conditioning equipment and electrical kitchen equipment, statistical data extraction conditions that are subject to failure of electrical equipment and electrical equipment, day and night, individual time, day of the week, season, etc. Are extracted from the second data and third data in the storage means, and installed in the customer's customer's home, etc. A measurement instruction for the watt-hour meter is transmitted to the communication network. Then, after transmitting the measurement instruction to the communication network, the measurement data is received from the communication means via the communication network. Thereafter, the server device determines whether the insulation deterioration is good or not by comparing a predetermined value set in advance with the leakage current indicated by the measurement data.

  A second aspect of the invention is the insulation measurement system according to the first aspect, further comprising storage means for storing, as first data, measurement data obtained last time from a watt hour meter installed in the customer's house or the like. The server device sends a measurement instruction to a watt-hour meter installed in the customer's house or the like when a predetermined period has elapsed since obtaining the first data of the storage means. To do.

  According to the first aspect of the present invention, it is possible to perform insulation measurement using a live line without a power outage by a remote instruction. In addition, in a customer's house, etc., insulation measurement is conventionally performed at the connection portion between the electrical wiring and the distribution board. According to the present invention, insulation measurement is performed at the application unit of the watt-hour meter. It is also possible to measure the insulation of the electrical wiring to the customer's home, including the electrical wiring provided between the meter and the distribution board.

In addition, it is possible to perform insulation measurement for customers who satisfy arbitrarily set conditions. For example, it is possible to perform an insulation measurement for a customer extracted based on a time when a defect occurs in a specific electric device, that is, a time zone or weather.

According to the second aspect of the present invention, it is possible to periodically and remotely measure the insulation of the customer's house and the like by a live line without power failure.

It is a block diagram which shows the insulation measurement system by Embodiment 1 of this invention. It is a block diagram which shows a distribution board. It is a figure which shows the external appearance of a smart meter, Fig.3 (a) is a front view, FIG.3 (b) is a side view. It is a block diagram which shows a smart meter. It is a figure explaining a detection part, and Drawing 5 (a) is a figure showing the case of three phases, and Drawing 5 (b) showing the case of two phases. It is a figure which shows an example of customer data. It is a figure which shows an example of regular survey data. It is a figure which shows an example of disaster investigation data. It is a flowchart which shows the process of a periodic insulation measurement. It is a flowchart which shows the process of an emergency insulation measurement. It is a figure which shows an example of the electrical equipment and electrical equipment data used in Embodiment 2 of this invention. It is a figure which shows an example of defect generation data. It is a flowchart which shows the process of a hot wire insulation measurement. It is explanatory drawing explaining the setting of the conditions by statistical data. It is explanatory drawing explaining the setting of the conditions by statistical data. It is explanatory drawing explaining the setting of the conditions by statistical data. It is a block diagram which shows an example of the electricity distribution panel by Embodiment 3 of this invention. It is a block diagram which shows an example of a smart meter.

Next, embodiments of the present invention will be described in detail with reference to the drawings.
(Embodiment 1)

  An insulation measurement system according to this embodiment is shown in FIG. The insulation measurement system in FIG. 1 performs hot-wire insulation measurement, and includes a security device 10, a smart meter 20, and a distribution board 30. The security device 10 is installed in an electric power company, and each facility of the smart meter 20 and the distribution board 30 is installed in a house A. In FIG. 1 and subsequent figures, the signal wiring system is indicated by a thin line in the figure, and the power wiring system in the house A is indicated by a thick line to distinguish the two. House A shows a representative example among many.

First, each facility in which the house A is installed will be described. House A is provided with outlets 40 ₁ to 40 _n . Electrical devices such as lighting devices and air conditioners in each room are connected to the outlets 40 ₁ to 40 _n .

In the house A, the current from the distribution line 101 flows to the distribution board 30 through the smart meter 20 and the electric wiring 121. This current is branched by the distribution board 30. As shown in FIG. 2, the distribution board 30 includes a main switch 31 and branch breakers 32 _{1 to} 32 _n . The main switch 31 detects and shuts off the overcurrent flowing from the smart meter 20 to the house A. The branch breakers 32 _{1 to} 32 _n detect and block the leakage of each electric circuit when the current branched through the main switch 31 is passed through the electric circuit in each room of the house A. Outlets 40 ₁ to 40 _n are connected to each electric circuit. Usually, one or more outlets are connected to one electric circuit.

  The smart meter 20 (FIG. 1) is a watt-hour meter that measures the power supplied from the distribution line 101 to the house A and has a communication function. That is, the smart meter 20 is in a state in which data can be transmitted and received with the security device 10 of the electric power company via the communication network NW. As a result, the smart meter 20 transmits the amount of power used in the house A to the security device 10 and receives various instructions from the security device 10. An example of such a smart meter 20 is shown in FIGS. The smart meter 20 includes a communication unit 21, a measuring unit 22, a live insulation measurement unit 23, and a monitoring control unit 24 in a box-shaped case 20 </ b> A.

  The communication unit 21 of the smart meter 20 is connected to the communication network NW by the communication line 111. Thereby, the communication part 21 is in the state which can transmit / receive data with the security apparatus 10 of an electric power company by control of the monitoring control part 24. FIG.

  The measuring unit 22 of the smart meter 20 measures the amount of AC power that is supplied from the distribution line 101 to the house A. The weighing unit 22 sends the measurement result to the monitoring control unit 24. The weighing unit 22 includes a terminal block 22A, and the distribution line 101, the communication line 111, and the electric wiring 121 are connected to the smart meter 20 via the terminal block 22A. In particular, the portion where the electrical wiring 121 is connected to the terminal block 22A, that is, the end portion of the electrical wiring is also an application unit provided with a detection unit 23A described later. The electrical wiring for the application unit is a part that applies electricity to the house A side.

  The hot-wire insulation measuring unit 23 measures a leakage current generated after the applying unit, that is, on the house A side. The leakage current is generated due to an insulation failure of the electrical wiring of the house A including the electrical wiring 121 or an insulation failure of an electrical device or the like. In order to measure such a leakage current, the hot-wire insulation measurement unit 23 includes a detection unit 23A. As described above, the detection unit 23A is provided in the application unit of the terminal block 22A. The detector 23A is, for example, a zero-phase current transformer. When the electricity is three-phase, as shown in FIG. 5A, the zero-phase current transformer CT is placed in the vicinity of the application unit so that all the three-phase electric wiring passes through the zero-phase current transformer CT. is set up. Thereby, the zero-phase current transformer CT detects a leakage current of a current whose phase is different by 120 degrees. Further, when the electricity is two-phase, as shown in FIG. 5B, the zero-phase current transformer CT is connected to the application section so that all the two-phase electric wirings penetrate the zero-phase current transformer CT. It is installed in the vicinity. Thereby, zero phase current transformer CT detects a leakage current from the reciprocating current. That is, the detection unit 23A detects a leakage current generated in the electric circuit after the application unit in a state where the distribution line is live. The hot wire insulation measurement unit 23 checks the magnitude of the leakage current detected by the detection unit 23 </ b> A and sends a detection signal indicating the magnitude of the leakage current to the monitoring control unit 24.

  The monitoring control unit 24 of the smart meter 20 performs processing and control for hot-wire insulation measurement together with the power company security device 10. The monitoring control unit 24 stores an instrument number in advance as identification information of the smart meter 20 installed in the house A.

  When the monitoring control unit 24 receives a measurement instruction from the security device 10 via the communication unit 21, the monitoring control unit 24 receives a detection signal from the hot-wire insulation measurement unit 23. When the monitoring control unit 24 receives the detection signal, the monitor control unit 24 adds the instrument number of the smart meter 20 and the date and time when the measurement instruction is received to the magnitude of the leakage current indicated by the detection signal. Generate data. Then, the monitoring control unit 24 controls the communication unit 21 to transmit the generated measurement data to the security device 10.

  The above is the configuration of the equipment installed in the house A. Next, the security device 10 (FIG. 1) provided in the electric power company will be described. The communication control device 11 of the security device 10 enables data communication via the communication network NW. That is, when the communication control apparatus 11 receives various data such as measurement data transmitted from the house A, the communication control apparatus 11 sends the received data to the system server 12 via the in-house network 11A. Moreover, the communication control apparatus 11 transmits the instruction | indication from the system server 12, etc. to the smart meter 20 of the house A via the communication network NW.

  The terminal 14 of the security device 10 is a dedicated computer operated by a person in charge of the electric power company. For example, the terminal 14 displays the result of the hot-wire insulation measurement in the house A based on the data from the system server 12.

  The storage device 13 of the security device 10 stores various data necessary for hot-wire insulation measurement. The data stored in the storage device 13 includes customer data. Customer data is data related to customers of electric power companies, and indicates instruments installed in a house where the customers live. An example of this customer data is shown in FIG. In the customer data, the name and address of the customer, the meter number of the watt-hour meter installed at the customer's home, the address of the customer's e-mail, etc. are recorded.

  Data stored in the storage device 13 includes periodic survey data. The periodic survey data represents the measurement results of the hot-wire insulation measurement that is performed periodically, such as once every four years, for maintenance and security of ordinary households that are low-voltage consumers. An example of this periodic survey data is shown in FIG. This periodic survey data includes a list of customers who are subject to hot-wire insulation measurement, survey date, survey time, survey weather, leak current measurement results, leak current judgment results, and leak current. The cause of failure is recorded. In the regular survey data, the data in parentheses represents the leakage current due to the re-survey. The data in parentheses is obtained by visiting a customer's home by an organization that performs security of electrical equipment.

  The data stored in the storage device 13 includes disaster investigation data. The disaster investigation data represents a measurement result of hot-wire insulation measurement that is urgently performed for maintenance and security of a general household when a disaster occurs. An example of this disaster investigation data is shown in FIG. In the disaster survey data, a disaster type item indicating the type of disaster is added to the regular survey data. Disasters that are subject to disaster survey data include natural disasters such as typhoons and earthquakes, and human-induced disasters such as fires.

  The data stored in the storage device 13 includes weather data (not shown). The meteorological data is a collection of data provided by various institutions. The weather data is updated by the system server 12 as needed.

  The system server 12 of the security device 10 performs regular hot-wire insulation measurement (hereinafter referred to as “periodic insulation measurement”) and emergency hot-wire insulation measurement (hereinafter referred to as “emergency insulation measurement”). When performing these measurements, the system server 12 communicates with the system server (not shown) that performs business management of the electric power company as necessary, and other servers (not shown). Control and access.

  Among the processes performed by the system server 12, the process of periodic insulation measurement will be described first. Upon receiving an instruction for periodic insulation measurement from the terminal 14, the system server 12 performs a periodic insulation measurement process shown in FIG. When the system server 12 starts the periodic insulation measurement process, the system server 12 refers to the previous survey date of the periodic survey data, and extracts the customers who are the targets of the periodic insulation measurement (step S1). Thereafter, the system server 12 examines setting conditions including weather conditions such as precipitation and humidity (step S2). The setting condition is data input in advance from the terminal 14 to the system server 12. After step S2, the system server 12 controls the communication control device 11 and transmits a measurement instruction to the smart meter 20 when the set condition is satisfied with reference to weather data or the like (step S3).

  When step S3 ends, the system server 12 receives measurement data from the smart meter 20 that has sent the measurement instruction via the communication control device 11 (step S4). Thereafter, the system server 12 compares the magnitude of the leakage current indicated by the measurement data with the specified value (step S5). The specified value in step S5 is based on the value (1 mA) specified in “Interpretation of Electrical Equipment Technical Standards”. If the magnitude of the leakage current is less than or equal to the specified value (step S6), the system server 12 determines that the leakage current was satisfactory, the measurement time, the weather conditions of the day, the setting conditions of step S2, and the like. Update the periodic survey data (step S7), and use the customer data address to send the measurement results, such as the measurement reason indicating the periodic survey, the date and time of measurement, and the weather of the day, to the customer by e-mail or the like. (Step S8).

  On the other hand, when the magnitude of the leakage current exceeds the specified value in step S6, the system server 12 determines based on the magnitude of the leakage current that was defective, the measurement time, the weather conditions of the day, the setting conditions in step S2, and the like. Update the regular survey data (step S9), and use the customer data address to send measurement results such as the reason for measurement, the date and time of measurement, and the weather of the day to the customer via e-mail, etc. (Step S10). Thereafter, the system server 12 transmits a request for confirmation of leakage current, that is, a request for re-investigation, to an organization that performs security of the electrical equipment (step S11).

  When step S8 or step S11 ends, the system server 12 ends the periodical insulation measurement process.

  The above is the process of periodic insulation measurement. Next, the emergency insulation measurement process will be described. Upon receiving an emergency insulation measurement instruction from the terminal 14, the system server 12 performs an emergency insulation measurement process shown in FIG. When the system server 12 starts the emergency insulation measurement process, the system server 12 receives data on the area where the disaster occurred from the system server for business management of the electric power company and the terminal 14 (step S21). Thereafter, the system server 12 refers to the address of the customer data, etc., extracts customers who live in the disaster occurrence area (step S22), and transmits a measurement instruction to the smart meter 20 of the corresponding customer (step S23).

  When step S23 ends, the system server 12 receives measurement data from the smart meter 20 that has sent the measurement instruction via the communication control device 11 (step S24). Thereafter, the system server 12 compares the magnitude of the leakage current indicated by the measurement data with the specified value (step S25). If the magnitude of the leakage current is less than or equal to the specified value (step S26), the system server 12 updates the emergency insulation measurement data based on the magnitude of the leakage current that was satisfactory, the measurement time, the weather conditions of the day, etc. (Step S27) Using the address of the customer data, the measurement result indicating the emergency insulation measurement, the measurement date and time, the measurement result such as the weather of the day is transmitted to the customer by e-mail or the like (Step S28). .

  On the other hand, if the magnitude of the leakage current exceeds the specified value in step S26, the system server 12 obtains the emergency insulation measurement data based on the magnitude of the leakage current that was defective, the measurement time, the current weather conditions, and the like. Update (step S29), and use the address of the customer data to send the measurement result indicating the regular survey, the measurement date and time, the weather of the day, etc. to the customer by e-mail or the like (step S30) . Thereafter, the system server 12 transmits a request for confirmation of leakage current, etc., to the organization that performs security of the electrical equipment (step S31).

  When step S28 or step S31 ends, the system server 12 ends the emergency insulation measurement process.

  Next, the operation of the insulation measurement system according to this embodiment will be described. In the electric power company, a person in charge operates the terminal 14 to send setting conditions such as weather conditions when performing periodic insulation measurement to the system server 12. Thereafter, when the person in charge operates the terminal 14 to send an instruction for periodic insulation measurement, the system server 12 starts processing for periodic insulation measurement. Thereby, the leakage current is measured for the customer who is the target of the periodic insulation measurement. Thereafter, if the magnitude of the leakage current is good, the system server 12 sends a measurement result including the magnitude of the leakage current to the customer by e-mail or the like.

  On the other hand, if the magnitude of the leakage current is bad, the system server 12 sends the measurement result including the magnitude of the leakage current to the customer by e-mail or the like and leaks it to the organization that performs security of the electrical equipment. Send a re-survey request, such as checking the current.

  By the way, when a natural disaster such as a typhoon or an earthquake or a human disaster such as a fire occurs, the person in charge of the power company operates the terminal 14 and inputs data indicating the district where the disaster occurred, Enter emergency insulation measurement instructions. As a result, the system server 12 starts the emergency insulation measurement process, and the leakage current is urgently measured for the customer living in the disaster occurrence area. Thereafter, when the magnitude of the leakage current after the occurrence of the disaster is good, the system server 12 sends a measurement result including the magnitude of the leakage current to the customer by e-mail or the like.

  On the other hand, if the magnitude of the leakage current after the occurrence of the disaster is poor, the system server 12 sends the measurement result including the magnitude of the leakage current to the customer by e-mail or the like, and at the same time, the security of the electrical equipment In response, a request for re-investigation, such as confirmation of leakage current, is sent.

  Thus, according to this embodiment, it is possible to remotely perform live line insulation measurement, which is insulation measurement using live lines without power failure, from the power company side. Moreover, according to this embodiment, the measurement according to the setting conditions of the system server 12 on the electric power company side, that is, arbitrary setting conditions such as the weather is enabled. Moreover, according to this embodiment, the insulation measurement of the electrical wiring including the electrical wiring 121 provided between the smart meter 20 and the distribution board 30 is also possible. Conventionally, the person in charge has measured the leakage current at the connection portion between the electrical wiring 121 and the distribution board 30.

  (Embodiment 2)

  In this embodiment, the security device 10 provides a hot-wire insulation measurement service. In this embodiment, components that are the same as or the same as those in the first embodiment described above are denoted by the same reference numerals, and description thereof is omitted.

  The storage device 13 of the security device 10 stores electrical equipment / electric equipment data in order to provide a hot-wire insulation measurement service. The electric equipment / electric equipment data represents the number of years of home building of each customer including the house A, that is, the number of years of wiring of the electric equipment, the number of years after installation of the electric equipment, and the number of years elapsed. An example of the electrical facility / equipment data is shown in FIG. This electrical equipment / electric equipment data records the years of construction of each customer's house, including house A, and the years when electrical water heaters, electrical air conditioning equipment, and electrified kitchens are installed as electrical equipment. Yes. Furthermore, in the electrical equipment / electric equipment data, the leakage current as the measurement result, the determination result of the leakage current, the cause of the failure that caused the leakage current, and the like are recorded.

  The storage device 13 stores defect occurrence data in order to provide a hot-wire insulation measurement service. The defect occurrence data is generated by the system server 12 based on the electric facility / electric equipment data, and represents the state of occurrence of a defect in the electric equipment or the like. An example of the defect occurrence data is shown in FIG. In the defect occurrence data, data obtained by extracting data on the occurrence of defects in the electrical wiring or electrical equipment from the electrical equipment / electric equipment data is recorded. In addition to this, although not shown in the figure, the date and date of occurrence of the failure are recorded in the failure occurrence data. Further, the defect occurrence rate is added to the defect occurrence data. The failure occurrence rate is generated by the system server 12 based on failure occurrence data, and is calculated based on the number of years of construction (indoor electrical wiring, etc.) and the elapsed years of electrical water heaters, electrical air conditioning equipment, and electrified kitchens as electrical equipment. Corresponding defect occurrence rate is recorded.

  The storage device 13 stores hot-wire insulation survey data in order to provide a hot-wire insulation measurement service. The hot-wire insulation survey data is data that is updated when the hot-wire insulation measurement is performed. Since this hot wire insulation survey data is the same as the regular survey data (FIG. 7), the illustration is omitted. In the live line insulation survey data, the survey date of the regular survey data is frequently updated as necessary.

  The system server 12 of the security device 10 performs the following processes in order to provide a hot-wire insulation measurement service to the customer. First, the system server 12 performs data creation processing. Upon receiving the data creation instruction from the terminal 14, the system server 12 creates electrical facility / equipment data based on the data of another system server that conducts business management of the power company and the periodic survey data. Further, the system server 12 creates defect occurrence data from the electrical facility / electric equipment data, and further creates defect occurrence rate data from the defect occurrence data.

  The system server 12 performs a hot-wire insulation measurement process in order to provide a hot-wire insulation measurement service to the customer. When the system server 12 receives an instruction to start the hot wire insulation measurement from the terminal 14, the system server 12 performs a hot wire insulation measurement process shown in FIG. When the system server 12 starts the process of hot-wire insulation measurement, the system server 12 examines an arbitrarily set condition (hereinafter referred to as “optional setting condition”), which is a condition for extracting a customer to be measured (step S41). . This arbitrary setting condition is set in advance in the system server 12 by the terminal 14, or is read from the terminal 14 by the system server 12 in step S41.

  There are various types of optional setting conditions. For example, there is an electrical equipment condition as an arbitrarily set condition. The electrical equipment conditions are data on conditions such as the age of the house and the age after completion of the expansion work.

  There is an electrical equipment condition as an optional setting condition. The electric equipment condition is data on the condition of the installation years (for example, about 15 years or more) of the electric water heater, electric air-conditioning equipment, and electrified kitchen equipment installed in the house. In addition, the electrical equipment condition may be data on the condition of the installation years of other electrical equipment.

  There is a statistical data extraction condition as an optional setting condition. The statistical data extraction condition is data on the condition that a failure has occurred, which is indicated by the statistical data on the occurrence of a failure in an electrical facility or electrical device. Furthermore, in the statistical data extraction condition, an electrical facility or an electrical device (hereinafter referred to as “defect occurrence target”) in which a failure has occurred is designated.

  There is a date and time condition as an optional setting condition. The date and time conditions are data on the condition of day and night, individual time, day of the week, season, and the like.

  Furthermore, there is a power load condition as an arbitrary setting condition. The power load condition is data on the condition of power usage.

  In addition to the above arbitrarily set conditions, various conditions such as rain can be added, and a plurality of arbitrarily set conditions can be combined.

  When step S41 ends, the system server 12 extracts customers that meet the arbitrarily set conditions (step S42). In step S42, the system server 12 extracts a corresponding customer in accordance with the arbitrary setting condition received in step S41. For example, in the case where the arbitrarily set condition received in step S41 is data on the condition of electrical equipment, that is, the building age of the house or the age after completion of the extension work, the system server 12 corresponds to this data. Customers are extracted by referring to the column of construction years in the electrical equipment / electric equipment data.

  If the optional setting conditions received in step S41 are electrical equipment conditions, that is, data on the condition of the installation years of the electric water heater, the electric air conditioning equipment and the electric kitchen equipment, or the installation years of other electrical equipment, the system server 12 Extracts customers corresponding to this data with reference to the electric water heater, electric air conditioning equipment, electrified kitchen equipment, and other fields.

  When the arbitrary setting condition received in step S41 is the statistical data extraction condition, the system server 12 extracts customers corresponding to this data as follows. The system server 12 refers to the failure occurrence data (FIG. 12) which is statistical data, and checks the state of the failure to be failed. Then, the system server 12 sets a high defect rate as a condition. Thereafter, the system server 12 extracts customers corresponding to the set conditions.

  Specific condition settings in this case are shown in FIG. In FIG. 14, the case where the defect occurrence target is an electric water heater, an electric air-conditioning facility, and a building age is taken as an example. The system server 12 calculates the building age, the electric water heater, and the electric air-conditioning equipment from the building age of the defect occurrence data (FIG. 12), the electric water heater, the electric air-conditioning equipment item, the leakage current item, and the respective elapsed years. Check the state of failure occurrence. Thereafter, the system server 12 sets a condition with a high defect rate. When the failure occurrence target is an electric water heater, the system server 12 sets, for example, the elapsed years, outdoor installation, and the like as conditions. Moreover, when the defect occurrence target is the building age, the system server 12 sets the elapsed year or the like as a condition. Then, the system server 12 extracts customers corresponding to the set conditions with reference to electrical equipment / electric equipment data and the like.

  If the optional setting condition received in step S41 is a date / time condition, and data having conditions such as day and night, individual time, day of the week, season, etc., the system server 12 determines that the defect occurrence data (FIG. 12) is defective. Based on the date and time when the failure occurred, the failure occurrence state of the defect occurrence target is examined. Then, the system server 12 sets a period, season or the like with a high defect rate as a condition. Thereafter, the system server 12 extracts customers who satisfy this condition.

  Specific condition settings in this case are shown in FIG. In FIG. 15, as in FIG. 14, the case where the failure occurrence target is an electric water heater, an electric air conditioning facility, and the age of construction is taken as an example. The system server 12 determines the building age, the electric power from the building age of the defect occurrence data (FIG. 12), the items of the electric water heater, the electric air conditioning equipment, the leakage current item, and the respective date and time (not shown). Investigate the state of failure of water heaters and electric air conditioning equipment. Thereafter, the system server 12 sets conditions such as a time and a period with a high defect rate. When the defect occurrence target is an electric water heater, the system server 12 sets, for example, night as a condition. When the defect occurrence target is the building age, the system server 12 sets the season as a condition. Then, the system server 12 extracts customers corresponding to the set conditions with reference to electrical equipment / electric equipment data and the like.

  If the optional setting condition received in step S41 is the power load condition and the data is based on the power usage time zone, the system server 12 accesses the system server that manages the business of the power company and uses the power. Demand data, that is, the amount of power used every predetermined time is collected, and the state of power use is examined. And the system server 12 sets as a condition the time slot | zone with high electric power use. Thereafter, the system server 12 extracts customers who satisfy this condition.

  FIG. 16 shows specific condition settings in this case. In FIG. 16, the power load transition of a home where the daytime is absent (daytime outing type home), the power load transition of a general home (general type home), and a home with much night life (night type home) ) As an example. Since it is assumed that the occurrence of problems is high during a time period when the power load is high, that is, a time period when there are many electric devices being used, the system server 12 is in a state where the power load is a predetermined amount or more and Set a condition that it lasts for a predetermined time. Then, the system server 12 extracts customers corresponding to the set conditions with reference to electrical equipment / electric equipment data and the like.

  Thus, when step S42 is completed, the system server 12 performs the following steps S43 to S51. These processes are the same as steps S3 to S11 in the periodic insulation measurement process. Description of S43 to step S51 is omitted. In addition, what is updated in step S47 and step S49 in steps S43 to S51 is hot-wire insulation survey data instead of the regular survey data.

  Thus, according to this embodiment, it is possible to perform the insulation measurement on the customer extracted according to the arbitrarily set condition as compared with the periodic insulation measurement performed periodically. As a result, it is possible to grasp the state of insulation deterioration of electrical wiring and the like, and it is possible to grasp the state of insulation deterioration that changes due to weather such as rainy weather.

  (Embodiment 3)

  In this embodiment, the defective portion is determined based on the state of the electric circuit that sends electricity to each room. In this embodiment, components that are the same as or the same as those in the first embodiment described above are denoted by the same reference numerals, and description thereof is omitted.

In this embodiment, the distribution board 30 includes detectors 33 _{1 to} 33 _n for branch breakers 32 _{1 to} 32 _n , as shown in FIG. The detectors 33 _{1 to} 33 _n measure the leakage current of each electric circuit in the house A. The detectors 33 _{1 to} 33 _n always send the leakage current measurement results to the smart meter 20.

In the smart meter 20 according to this embodiment, as shown in FIG. 18, the monitoring control unit 24 receives the measurement results from the detection units 33 _{1 to} 33 _n . Thereafter, the monitoring control unit 24 generates measurement data by adding the instrument number of the smart meter 20, the date and time when the measurement instruction of the leakage current is received, and the breaker name to the measurement result. To do. Then, the monitoring control unit 24 controls the communication unit 21 to transmit the generated measurement data to the security device 10.

When the system server 12 of the security device 10 detects a leakage current in a periodic insulation measurement process periodically performed or a hot-wire insulation measurement process performed in a hot-wire insulation measurement service, the house where the leakage current is generated An instruction for measuring leakage current by the detectors 33 _{1 to} 33 _n is sent to the smart meter 20 of A. Thereafter, when the system server 12 receives the measurement data from the smart meter 20, the system server 12 extracts the branch breaker in which the leakage current flows among the detection units 33 _{1 to} 33 _n . Thereafter, the system server 12 adds the branch breaker name in which the leakage current was flowing at the time of current measurement to the measurement result. The system server 12 also transmits a measurement result to which the branch breaker name is added when transmitting a request for confirmation of leakage current or the like to an organization that performs security of electrical facilities.

Thus, according to this embodiment, when a request for confirmation of leakage current is transmitted to an organization that performs electrical equipment security or the like, the leakage current measurement result to which the branch breaker name is added is also transmitted. Therefore, it is easy to determine the defective part. In this embodiment is provided with the detector ₃₃ 1 ~ 33 _n to branch breakers ₃₂ 1 to 32 _n, it may be provided with a detection unit ₃₃ 1 ~ 33 _n to outlet ₄₀ 1 to 40 _n. The detection units 33 _{1 to} 33 _n may be sensors that simply detect current.

10 Security device (server device)
20 Smart meter (electric energy meter)
21 Communication unit (communication means)
22 Weighing section 23 Hot wire insulation measuring section (measuring means)
24 Monitoring control unit (control means)
30 distribution board 40 ₁ to 40 _n outlet

Claims (2)

An insulation measurement system having a communication means for transmitting and receiving data to and from a communication network and using a watt hour meter installed in a customer's house, etc.
Measuring means for measuring a leakage current of a live wire in an application unit provided in the watt-hour meter and supplying electricity to electrical wiring of the customer's house, etc.,
Control means provided in the watt-hour meter, and when receiving a measurement instruction from the communication network, measurement data representing a leakage current measured by the measurement means, and controlling the communication means to transmit to the communication network;
Data related to electrical equipment and electrical equipment, data including the age of electrical equipment and electrical equipment installed in the customer's house, etc., the state of power usage by the customer, etc. are stored as second data, and the electrical wiring And storage means for storing, as the third data, data on the occurrence of defects in the electrical equipment, data including the age of construction, and the rate of failure occurrence corresponding to each elapsed year of the electrical equipment,
Electrical equipment conditions that are conditions for extracting the customers to be measured, such as the building age of the house and the age after completion of the expansion work, electric water heaters and electric air conditioning equipment installed in the house And electrical equipment conditions subject to the installation years of electrified kitchen equipment, statistical data extraction conditions subject to the occurrence of defects in electrical equipment and electrical equipment, date and time conditions subject to day and night, individual time, day of the week, season, etc. The amount of electric power installed in the customer's customer's home, etc., extracted from the second data and third data of the storage means, the customer corresponding to the power load condition that is based on the state of power use A measurement instruction for a meter is transmitted to the communication network, and after transmitting the measurement instruction to the communication network, when measurement data is received from the communication means via the communication network, a preset specified value and the measurement data By comparison with the leakage current shown, and determining a server device the quality of the insulation deterioration,
An insulation measurement system comprising: Comprising storage means for storing, as first data, measurement data obtained last time from a watt-hour meter installed in the customer's house, etc .;
The server device sends a measurement instruction to a watt-hour meter installed in the customer's house or the like when a predetermined period has elapsed since the first data of the storage means was obtained.
The insulation measurement system according to claim 1.

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