CN110832879B - Remote state monitoring system and monitoring method - Google Patents
Remote state monitoring system and monitoring method Download PDFInfo
- Publication number
- CN110832879B CN110832879B CN201880032616.3A CN201880032616A CN110832879B CN 110832879 B CN110832879 B CN 110832879B CN 201880032616 A CN201880032616 A CN 201880032616A CN 110832879 B CN110832879 B CN 110832879B
- Authority
- CN
- China
- Prior art keywords
- unit
- data
- information
- correlation
- sensor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Bridges Or Land Bridges (AREA)
- Selective Calling Equipment (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
- Lining And Supports For Tunnels (AREA)
Abstract
Provided is a remote state monitoring system which can transmit data necessary for grasping the state of a structure to a remote monitoring unit by using a wireless line even if there is a unique restriction of a wireless communication system with a small amount of communication data. The remote state monitoring system 10 includes: an information collection unit 12 that collects information on the state of the structure; and a monitoring unit 14 connected via a communication line 16 for remotely monitoring the structure. The information collection means 12 includes sensor means for measuring data indicating a physical quantity, and outputs at least one of the strain amount and information indicating an abnormal state when the strain amount exceeds a predetermined value.
Description
Technical Field
The present invention relates to a remote status monitoring system and a monitoring method.
Background
A technique has been known from the past to measure at a predetermined site of a structure and monitor the state of the structure, which is advantageous for preventive maintenance of the structure.
Patent document 1 discloses a state monitoring system provided in a pier, the state monitoring system including: an acceleration sensor for measuring acceleration; and an information processing device for evaluating the soundness of the bridge pier based on the vibration waveform obtained by analyzing the acceleration.
Patent document 3 discloses a preventive maintenance monitoring system including: a plurality of acceleration sensors provided in the structure and detecting displacement; a computing device for evaluating fatigue according to the displacement detected by the acceleration sensor; and a display device connected to the operation device through the Internet network and displaying the operation result.
Prior art documents
Patent document
Patent document 1: japanese patent laid-open publication No. 2015-230206
Patent document 2: japanese patent laid-open No. 2008-234361
Patent document 3: japanese laid-open patent publication (JP 2015-98686)
Disclosure of Invention
Problems to be solved by the invention
In a conventional remote state monitoring system, information indicating the state of a structure is transmitted remotely using a mobile phone line such as 3G or LTE. The existing mobile phone line as shown above has high reliability or usability, but the telephone fee and the cost of the communication device are high. The IoT (Internet of Things) has a problem that it costs much for communication because many devices communicate with each other.
Further, since communication via a conventional mobile phone line consumes high power, the battery capacity built in the device increases, and as a result, the device itself becomes large.
Recently, in the next generation wireless communication standard of the IoT era, attention has been paid to the power-saving wide area wireless network service, and experiments have been conducted. The Power-saving Wide area wireless network service is a service using a wireless communication technology called lpwa (low Power Wide area), for example. By using the power-saving type wide area wireless network service, it is possible to perform communication at a low price, with low power consumption, and over a long distance. However, the wireless communication service has a low transmission speed and a small size of data to be transmitted and received, and thus there is a problem that the structure information as shown in the related art, which indicates the state of the structure in its entirety, cannot be transmitted in a remote manner.
Further, it is still not sufficient to stably transmit data in a common place where power is difficult to be supplied in a mountain area or off-island.
The invention provides a remote state monitoring system and a monitoring method, which can monitor the state of a structure remotely and well by using a wireless line.
Means for solving the problems
The remote state monitoring system of the present invention comprises: an information collection unit provided in a structure and collecting information on a state of the structure; and a monitoring unit connected to the information collection unit via a communication line and configured to remotely monitor the structure, wherein the remote state monitoring system is characterized in that: the communication line is a power-saving wide area wireless communication line, and the information collection unit includes: a sensor unit that measures data indicating a physical quantity; a data processing unit for processing the data measured by the sensor unit; and a first communication unit that transmits the data processed by the data processing unit to the monitoring unit, the monitoring unit having: a second communication unit that receives the data of the information collection unit; a storage unit that stores the data received by the second communication unit; and an information extraction means for extracting information indicating a state of the structure based on the data stored in the storage means, wherein the sensor means includes a strain sensor for measuring a strain amount, and the information extraction means outputs at least one of the strain amount and the information indicating an abnormal state when the strain amount exceeds a predetermined value.
The monitoring method of the present invention is a remote state monitoring method for remotely monitoring a structure via a power-saving wide area wireless communication line, comprising: comprising: a step of measuring data indicating a physical quantity by a sensor unit provided in the structure; a step of processing the measured data; a step of transmitting the processed data to a remote monitoring unit; receiving the transmitted data at the remote unit; a step of storing the received data; and extracting information indicating a state of the structure based on the stored data, wherein the sensor unit includes a strain sensor for measuring a strain amount, and the extracting information is configured to output at least one of the strain amount and information indicating an abnormal state when the strain amount exceeds a predetermined value.
The remote state monitoring system of the present invention comprises: a plurality of information collection units provided in a structure and collecting information on the state of the structure; and a monitoring unit connected to the information collection unit via a communication line and configured to remotely monitor the structure, wherein the remote state monitoring system is characterized in that: the information collection unit includes: a sensor unit for measuring strain amount; an acceleration sensor unit for measuring acceleration; a data processing unit that processes data measured by the sensor unit and the acceleration sensor unit; and a first communication unit that transmits the data processed by the data processing unit to the monitoring unit, the monitoring unit having: a second communication unit that receives data of the plurality of information collection units; a storage unit that stores the data received by the second communication unit; and an information extraction unit that extracts information indicating a state of a structure based on data stored in a storage unit, wherein the storage unit stores correlation data indicating at least one of a correlation between the strain amount and the acceleration, a correlation between the strain amount and the temperature, or a correlation between the strain amount and the humidity, and the information extraction unit compares the correlation data in the plurality of information collection units, and outputs at least one of the correlation data and the information indicating an abnormal state when a deviation between the correlation data exceeds a predetermined value.
ADVANTAGEOUS EFFECTS OF INVENTION
The remote state monitoring system and the monitoring method of the present invention can remotely and satisfactorily monitor the state of a structure by using a wireless line. In addition, even if there is a unique restriction of the wireless communication method that the amount of communication data is small, data necessary for grasping the condition of the structure can be transmitted to the remote monitoring unit. In addition, even in a place where it is difficult to secure power supply at a remote place, data can be stably transmitted to the monitoring unit.
Further, based on the data at the predetermined time sent from the information collection means, damage or defect of the structure or the time until the damage or defect can be grasped. Thus, repairs (post-mortem maintenance) can be quickly accommodated and a relevant appropriate remedial plan for preventive maintenance in which the occurrence of a diseased event is in the future can be developed. In addition, the planning of inspection timing, inspection items, inspection sites, and the like for maintenance (regular maintenance) is also improved.
Drawings
Fig. 1 is a diagram showing a configuration of a remote status monitoring system according to the present embodiment.
Fig. 2 shows a flow chart of a flow of a monitoring method using a remote status monitoring system.
Detailed Description
Embodiments of a remote status monitoring system and a monitoring method will be described below with reference to the drawings. However, the present invention is not limited to the following embodiments.
Fig. 1 shows a diagram of the configuration of a remote status monitoring system 10. The remote state monitoring system 10 is a system for remotely monitoring the state of structures (not shown) such as buildings, bridges, tunnels, facility equipment, ships, utility poles, traffic control facilities, earthen structures, roads, pipes, and oil pipelines. The system is used for grasping the state and progress of the deterioration of a structure over time, grasping the damage state or range in the event of an earthquake, disaster, or fire, preventing an accident, preventive maintenance, planning a project, and the like. The remote condition monitoring system 10 will be described below as the system 10 only.
The system 10 has: an information collecting means 12 provided in a structure and collecting information on the state of the structure, and a monitoring means 14 for remotely monitoring the structure. The information collection unit 12 and the monitoring unit 14 are connected by a communication line 16. The information collection unit 12 is a so-called IoT device, and is provided with one or more sensors and transmits measurement data output from the various sensors to the monitoring unit 14.
The communication line 16 includes a Power-saving Wide area wireless communication line (LPWA (low Power Wide area)), Bluetooth (registered trademark), Wi-Fi (registered trademark), EnOcean (registered trademark), ZigBee (registered trademark), or other mobile phone line communication line such as SIGFOX (registered trademark), LoRa (registered trademark), NB-IoT, NB-Fi Protocol, GreenOFDM, DASH7, RPMA, Wi-SUN, LTE-MTC, or the like, a short-range wireless communication system such as cellular LPWA, communication 3G, or LTE, or other mobile phone line communication line. For example, the SIGFOX transmission distance is a long distance of several tens of kilometers, the transmission speed is an ultra-low speed of 100bps (uplink), and the data has a size of 12-bit bytes (uplink) and is equal to or smaller than 1/100 of Ethernet (registered trademark) data.
The information collection unit 12 includes: a strain sensor 28 for measuring strain amount, an acceleration sensor 30 for measuring acceleration, and a temperature sensor 32 for measuring temperature, which are sensor units 18 for measuring data representing physical quantity; a data processing unit 20 that processes data measured by the sensor unit 18; a first communication unit 22 that transmits the data processed by the data processing unit 20 to the monitoring unit 14; a timer unit 24 having a timing function; and a power supply unit 26 for supplying power to each device in the information collection unit 12.
The strain sensor 28 is a sensor, such as a strain gauge, that measures a strain amount of the structure, that is, a physical amount of strain or displacement. The acceleration sensor 30 is a sensor for measuring vibration information of a structure, and is a 1-axis or multi-axis accelerometer capable of detecting minute vibrations. The temperature sensor 32 is a sensor for measuring the temperature of the structure, for example, a thermistor. The sensor unit 18 may include an angle sensor, an acoustic sensor, an ultrasonic sensor, a humidity sensor, a GPS sensor, and a distance sensor, although not shown.
The data processing unit 20 processes the data measured by the sensor unit 18 into data that can use the communication line 16 and data that can grasp the state of the structure. Specifically, the data processing unit 20 extracts the amount of strain, acceleration, and temperature at predetermined times. When the humidity is also measured, the data processing unit 20 extracts the humidity at a predetermined time.
The first communication unit 22 has a communication interface configured with a chip in which an application program for realizing communication with the communication line 16 and an antenna are built. By way of example, the communication contents when the communication line 16 is a SIGFOX will be described. The amount of data of SIGFOX currently 1 time is up to 12-bit groups. In the present embodiment, each data representing a physical quantity is a 12-bit group in total, including a header 5-bit group added at the time of communication, in which a dependent variable is a 3-bit group, an acceleration of 1 axis is a 2-bit group, and a temperature is a 2-bit group. At this time, all data can be communicated 1 communication. In addition, if the acceleration and the humidity of 2 axes are additionally used as data representing the physical quantity, a 6-bit group is added. The entire data is now transmitted in 2 communications.
The timer unit 24 can arbitrarily set the predetermined time until the predetermined time is reached, and outputs a control signal to the data processing unit 20. The predetermined time may be 2 times a day and a night, or more than 3 times a day, or 1 time a plurality of days.
The power supply unit 26 may supply power to the data processing unit 20, the first communication unit 22, and the timer unit 24, and includes: a combination of a power generation function of generating electric power from external energy and a battery, a piezoelectric element for converting vibration of a structure into electric power, a heat conversion element for converting heat into electric power, a detachable dry battery, a solar cell, and a dye-sensitized solar cell. The power supply unit 26 is preferably a stand-alone type power supply that does not require wiring or charging.
Next, an apparatus for remotely monitoring a structure will be described. The monitoring unit 14 is connected to a terminal (not shown) of a user using the system via a wired or wireless communication line, and the user can grasp the state of the structure based on information output from the monitoring unit 14. The monitoring unit 14 includes: a second communication unit 34 that receives data of the information collection unit 12; a storage unit 36 that stores data received by the second communication unit 34; and an information extraction unit 38 for extracting information indicating the state of the structure from the data stored in the storage unit 36.
The second communication unit 34 is a communication interface having a chip and an antenna in which an application program for realizing communication with the communication line 16 is built, and receives data from the first communication unit 22, similarly to the first communication unit 22.
The storage unit 36 is a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). The storage unit 36 stores the above-described various data transmitted by the information collection unit 12. In addition, if the sensor unit 18 includes a temperature/humidity sensor, humidity data is also stored. Further, the storage unit 36 may store, as correlation data representing the correlation of the dependent variable with the acceleration, among the data transmitted by the information collection unit 12. The storage unit 36 may store the operation result of the information extraction unit 38, an OS (Operating System), various application programs, and the like.
The information extraction unit 38 calculates various data stored in the storage unit 36 and outputs information indicating the state of the structure. Furthermore, the information extraction unit 38 may use the data transmitted by the information collection unit 12 directly for operation.
The information extraction unit 38 outputs at least one of the strain amount and information indicating an abnormal state if the strain amount exceeds a predetermined value. The predetermined value is a strain amount to the extent that a defect such as a crack occurs at a portion where the information collection unit 12 is provided. The information indicating the abnormal state is information recognizable to the user, for example, text information. Thus, the situation that the defect has occurred can be grasped remotely. When the degree of progress of the damage at the site is known from the past data, the amount of strain before the damage is caused may be set to a predetermined value. Thus, accidents can be prevented in the bud.
The information extraction unit 38 may calculate the displacement amount from the strain amount and the gauge length of the strain sensor 28 stored in the storage unit 36. Next, the information extracting unit 38 may output at least one of the displacement amount and information indicating an abnormal state if the displacement amount exceeds a predetermined value. At this time, the predetermined value is a displacement amount to the extent that a defect such as a crack occurs at a portion where the information collecting means 12 is provided. The displacement amount is stored in the storage unit 36, and an alternative parameter as a dependent variable may be used.
Further, the information extraction unit 38 may calculate an approximate curve from the past dependent variables stored in the storage unit 36, and calculate the time until the predetermined value is reached from the curve. By grasping the degree and period of damage, an adequate, non-excessive and insufficient repair plan can be created.
Further, the information extraction unit 38 maps the correlation between the strain amount and the temperature, the correlation between the strain amount and the humidity, the correlation between the strain amount and the temperature and humidity, and the correlation between the strain amount and the acceleration at a predetermined time, and stores the mapping in the storage unit 36. The action is performed as each time data is newly transmitted by the information collecting unit 12, overwritten on the respective map (mapping).
Next, the information extracting unit 38 outputs at least one of the correlation and the information indicating the abnormal state when the correlation between the strain amount and the temperature sent from the information collecting unit 12 and the correlation between the temperature and the past strain amount and temperature are deviated from each other by a predetermined amount. Tables, graphs, etc. of information indicating the correlation. The amount of strain is generally changed depending on the temperature change in 1 day unit or seasonal unit. Further, the amount of change or the trajectory of change of the strain amount is different from the past or the distribution of the change region of the strain amount is different from the past due to the aged deterioration of the structure. The difference is that a threshold value or a region is set on the map of the correlation, and if the latest data exceeds the set predetermined value, the latest data is handled as a predetermined deviation, and information indicating an abnormal state is output by the information extraction unit 38. Since the predetermined value as the predetermined deviation is specific to the structure, it can be arbitrarily set by analyzing data until the damage is caused during operation. This makes it possible to remotely recognize the damage of the structure or the risk of causing damage. Instead of the temperature of 1, which is a parameter of the correlation, humidity or temperature and humidity may be used. The amount of the dependent variable is generally changed depending on the change of humidity or temperature and humidity in 1 day unit or seasonal unit. The information extracting unit 38 outputs at least one of the correlation and information indicating an abnormal state if there is a predetermined deviation from the correlation between the past strain amount and humidity or the correlation between the past strain amount and temperature and humidity. The method of setting the threshold value or the area on the map of the correlation and the method of outputting the information indicating the abnormal state are the same as those when the parameter is the temperature. This makes it possible to remotely recognize the damage of the structure or the risk of causing damage.
The information extracting unit 38 outputs the correlation or information indicating the abnormal state when the strain amount and the acceleration sent from the information collecting unit 12 deviate from the correlation between the strain amount and the acceleration in the past by a predetermined amount. Data representing a correlation (hereinafter referred to as correlation data) stored in the storage unit 36 is a table, a graph, or the like. The strain amount has a certain correlation with the acceleration, and when the acceleration is large, the strain amount tends to increase. When the structure deteriorates with age, the relationship between the strain amount and the acceleration is plotted in a region different from the region of the past correlation. A threshold value or a boundary line is set at the outer edge of the area of the past correlation, and if the latest correlation data exceeds the set predetermined value, the processing is performed as a predetermined deviation, and the information extracting unit 38 outputs information indicating an abnormal state. Since the predetermined value as the deviation is specific to the structure, it can be arbitrarily set by analyzing the correlation data until the damage is caused during the operation. This makes it possible to remotely recognize the damage of the structure or the risk of causing damage.
The information extracting unit 38 may compare the correlation data in each of the plurality of information collecting units 12, and may output at least one of the correlation data and the information indicating the abnormal state if the deviation between the correlation data exceeds a predetermined value. The correlation data explained in the previous paragraph is about the same amount of strain and acceleration measured by the information collection unit 12, the information extraction unit 38 compares the correlation data with the past same data, and extracts the deviation situation. On the other hand, the information extracting unit 38 may compare the correlation data in each information collecting unit 12 to extract the deviation situation. There is also a certain correlation among the correlation data in each information collection unit 12, and if the structure deteriorates with age, the deviation between the correlation data changes. The information extraction unit 38 outputs information indicating an abnormal state if the deviation exceeds a predetermined value. Since the predetermined value as the predetermined deviation is specific to the structure, it can be arbitrarily set by analyzing data until the damage is caused during operation. Thus, the damage state of the structure can be grasped remotely or future damage can be estimated.
Specifically, the data processing unit 20 detects the occurrence of an earthquake when the measured acceleration is equal to or greater than a predetermined value, processes the measurement data at the detection time, and communicates the processed data to the monitoring unit 14.
The data processing unit 20 detects the occurrence of a fire when the measured temperature is equal to or higher than a predetermined value, processes the measurement data at the detection time, and transmits the processed data to the monitoring unit 14. In the above-described aspect, the timer unit 24 may be operated by using the disaster detection as a trigger, and the detailed data may be periodically transmitted to the monitoring unit 14 as the measurement data at a shorter span (span) than usual.
One of the principles characterizing the present invention is to use the relationship between stress and strain (deformation) when a structure (solid material) is subjected to an external force, and to numerically compare the mechanical characteristics of the structure with the amount of change due to temperature and humidity, environment, or the like. The deterioration of the structure is generally performed by external force, chemical reaction, creep, heat, and the like. Therefore, the amount of change in the deterioration state, that is, the physical law, is used to continue monitoring the amount of change. As described above, it is expected to be used in various applications such as analyzing and analyzing enormous and long-term data to grasp or estimate a damaged state.
The structure includes concrete, plastic, and metal. In terms of improving accuracy, it is preferable to use data on the correlation between the strain amount and the acceleration sensor for a structure to which an external force such as vibration is applied, and data on the correlation between the strain amount and temperature or humidity for a structure that is standing still. The strain sensor 28 is attached to the structure with an adhesive after the surface of the structure is coated with the coating agent and removed.
Next, an embodiment of a remote status monitoring method using the system 10 will be described with reference to fig. 2.
First, in step S01, the sensor unit 18 provided in the structure measures data indicating the physical quantity. Specifically, the strain sensor 28 measures strain, the acceleration sensor 30 measures acceleration, and the temperature sensor 32 measures temperature.
In step S02, the data processing unit 20 processes the measured data. Specifically, the data processing unit 20 extracts the amount of strain, acceleration, and temperature at predetermined times.
Next, in step S03, the first communication unit 22 transmits the processed data to the remote monitoring unit 14, and in step S04, in the monitoring unit 14, the second communication unit 34 receives the transmitted data. Next, in step S05, the storage unit 36 stores the received data.
Finally, in step S06, information extraction section 38 extracts information indicating the state of the structure from the data stored in storage section 36. Specifically, when the amount of strain exceeds a predetermined value, the amount of strain or information indicating an abnormal state is output.
The present invention is not limited to the configuration shown in fig. 1, as long as the system 10 has a function of executing the monitoring method. The series of steps can be executed by hardware or software. In addition, 1 functional block may be formed by a single hardware, a single software, or a combination thereof. The monitoring unit 14 of the present embodiment is not limited to the above configuration, and may be operated by an application program in which at least a part of functions is installed in a user's terminal.
The maximum value of the acceleration may also be extracted over a period of several minutes including a predetermined time. When the number of detection axes of the acceleration sensor 30 is 3, the measured values are extracted for each axis. At this time, since the amount of communication data increases, the first communication unit 22 performs communication divided into a plurality of times. This allows the monitoring unit 14 to grasp the state of the structure in more detail.
The data processing unit 20 may calculate the natural vibration number of the structure from the measured acceleration, and transmit the data to the monitoring unit 14. The monitoring unit 14 can detect an abnormal state of the structure from a change in the natural vibration frequency due to the aged deterioration or damage of the structure.
In the present embodiment, the first communication unit 22 and the second communication unit 34 may be configured to be capable of bidirectional communication. With this configuration, the monitoring unit 14 can change the processing content of the data processing unit 20. The predetermined time in the timer unit 24 may be set by the monitoring unit 14.
In the present embodiment, the user can access the monitoring unit 14 to view or download the desired information or history. Thus, even before an abnormal state is caused in the structure, the user can grasp the tendency of deterioration with respect to the state of the structure.
Reference numerals:
10 remote condition monitoring system 12 information collection unit 14 monitoring unit 16 communication line 18 sensor unit 20 data processing unit 22 first communication unit 24 timer unit 26 power unit 28 strain sensor 30 acceleration sensor 32 temperature humidity sensor 34 second communication unit 36 storage unit 38 information extraction unit
Claims (6)
1. A remote condition monitoring system having:
an information collection unit provided in a structure and collecting information on a state of the structure; and
a monitoring unit connected to the information collection unit via a communication line and configured to remotely monitor the structure,
the remote status monitoring system is characterized in that:
the communication line is a power-saving wide area wireless communication line,
the information collection unit has:
a sensor unit that measures data indicating a physical quantity;
a data processing unit that processes data measured by the sensor unit; and
a first communication unit that transmits the data processed by the data processing unit to the monitoring unit,
the monitoring unit has:
a second communication unit that receives data of the information collection unit;
a storage unit that stores the data received by the second communication unit; and
an information extraction means for extracting information indicating the state of the structure from the data stored in the storage means,
the sensor unit comprises a strain sensor for measuring strain and a temperature sensor for measuring temperature;
the data processing unit extracts the dependent variable and the temperature at a preset moment;
the information extraction unit outputs at least one of the correlation and information indicating an abnormal state if the data extracted by the data processing unit deviates from a distribution of a change region of the strain amount in one of the correlations of the past strain amount and temperature by a predetermined amount.
2. The remote status monitoring system according to claim 1, wherein the sensor unit includes an acceleration sensor that measures acceleration,
the data processing unit extracts the dependent variable and the acceleration at a preset moment,
the information extraction unit outputs at least one of the correlation and information indicating an abnormal state if the data extracted by the data processing unit has a predetermined deviation from the correlation between the amount of strain and the acceleration at the predetermined time in the past.
3. The remote status monitoring system according to claim 2, wherein the data processing unit detects occurrence of an earthquake when the acceleration is equal to or greater than a predetermined value, processes measurement data at the detection time, and transmits the processed measurement data to the monitoring unit.
4. A remote state monitoring method for remotely monitoring a structure via a power-saving wide area wireless communication line, comprising:
comprising:
a step of measuring data indicating a physical quantity by a sensor unit provided in the structure;
a step of processing the measured data;
a step of transmitting the processed data to a remote monitoring unit;
receiving the transmitted data at the remote unit;
a step of storing the received data; and
extracting information indicating the state of the structure from the stored data,
the sensor unit comprises a strain sensor for measuring strain and a temperature sensor for measuring temperature;
the step of processing the data is to extract the dependent variable and the temperature at a preset moment;
the step of extracting the information outputs at least one of the correlation and information indicating an abnormal state if the data extracted by the data processing unit has a predetermined deviation from the distribution of the change region of the strain amount of one of the correlations of the past strain amount and temperature.
5. A remote condition monitoring system having:
a plurality of information collection units provided in a structure and collecting information on the state of the structure; and
a monitoring unit connected to the information collection unit via a communication line and configured to remotely monitor the structure,
the remote status monitoring system is characterized in that:
the information collection unit has:
a sensor unit for measuring strain amount;
an acceleration sensor unit for measuring acceleration;
a data processing unit that processes data measured by the sensor unit and the acceleration sensor unit; and
a first communication unit that transmits the data processed by the data processing unit to the monitoring unit,
the monitoring unit has:
a second communication unit that receives data of the plurality of information collection units;
a storage unit that stores the data received by the second communication unit; and
an information extraction means for extracting information indicating the state of the structure from the data stored in the storage means,
the storage unit stores correlation data storage representing at least one of a correlation of the strain amount with the acceleration, a correlation of the strain amount with the temperature, or a correlation of the strain amount with the humidity,
the information extraction unit compares the correlation data in the plurality of information collection units, respectively, and outputs at least one of the correlation data or information indicating an abnormal state if a deviation between the correlation data exceeds a predetermined value.
6. The remote status monitoring system according to claim 5, wherein the information collection means includes a temperature sensor for measuring a temperature of a structure,
the data processing unit also extracts the dependent variable and the temperature at a preset moment,
the information extraction unit outputs at least one of the correlation and information indicating an abnormal state if the data extracted by the data processing unit deviates from a distribution of a change region of the strain amount in one of the correlations of the past strain amount and temperature by a predetermined amount.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2017-096893 | 2017-05-16 | ||
| JP2017096893 | 2017-05-16 | ||
| PCT/JP2018/014027 WO2018211836A1 (en) | 2017-05-16 | 2018-03-31 | Remote state monitoring system and monitoring method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110832879A CN110832879A (en) | 2020-02-21 |
| CN110832879B true CN110832879B (en) | 2020-12-18 |
Family
ID=64568801
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201880032616.3A Active CN110832879B (en) | 2017-05-16 | 2018-03-31 | Remote state monitoring system and monitoring method |
Country Status (2)
| Country | Link |
|---|---|
| JP (3) | JP6495509B2 (en) |
| CN (1) | CN110832879B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7137463B2 (en) * | 2018-12-26 | 2022-09-14 | 宮地エンジニアリング株式会社 | MONITORING METHOD FOR TEMPORARY RECEIVING BENT FACILITIES FOR BRIDGE ERECTION OR STRUCTURES UNDER CONSTRUCTION AND MONITORING SYSTEM FOR TEMPORARY RECEIVING BENT FACILITIES FOR BRIDGE ERECTION OR STRUCTURES UNDER CONSTRUCTION |
| JP7105213B2 (en) * | 2019-04-09 | 2022-07-22 | ソフトバンク株式会社 | Communication terminal and program |
| JP7304321B2 (en) * | 2020-07-06 | 2023-07-06 | 大成建設株式会社 | Natural ground measurement system, natural ground measurement method, natural ground management system, and natural ground management method |
| JP2024078751A (en) | 2022-11-30 | 2024-06-11 | キヤノン株式会社 | IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005156298A (en) * | 2003-11-25 | 2005-06-16 | Hitachi Ltd | Wheel load/lateral pressure measuring apparatus |
| JP2006146347A (en) * | 2004-11-16 | 2006-06-08 | Kawada Kogyo Kk | Measurement system and base module constituting the same |
| JP2014126398A (en) * | 2012-12-25 | 2014-07-07 | Japan Agengy For Marine-Earth Science & Technology | Carbon dioxide partial pressure measuring apparatus, and cell unit for the same |
| JP2014163866A (en) * | 2013-02-27 | 2014-09-08 | Mitsubishi Heavy Ind Ltd | Diagnostic device and diagnostic method for nonlinear response |
| CN104583730A (en) * | 2012-08-17 | 2015-04-29 | 公益财团法人地球环境产业技术研究机构 | System for measuring distributions of pressure, temperature, strain of substance, method for monitoring underground storage of carbon dioxide using same, method for evaluating influence of carbon dioxide injection on stability of stratum, and freezing monitoring method |
| JP2016065754A (en) * | 2014-09-24 | 2016-04-28 | 株式会社ＮｅｊｉＬａｗ | Method for measuring building structure |
| CN205892393U (en) * | 2016-07-29 | 2017-01-18 | 广东省建筑科学研究院集团股份有限公司 | Closed monitored control system of construction elevator guard gate |
| CN106657293A (en) * | 2016-12-06 | 2017-05-10 | 上海斐讯数据通信技术有限公司 | Data collection terminal, system and method |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3777453B2 (en) | 1999-06-18 | 2006-05-24 | 財団法人理工学振興会 | Structure monitoring system |
| JP4969886B2 (en) | 2006-03-29 | 2012-07-04 | 古河電気工業株式会社 | Building diagnostic system |
| JP2014126386A (en) * | 2012-12-25 | 2014-07-07 | Takenaka Komuten Co Ltd | Structural member evaluation device and structural member evaluation method |
| JP6324058B2 (en) | 2013-12-20 | 2018-05-16 | 株式会社Ｉｈｉ検査計測 | Strain measuring method and strain measuring apparatus |
| EP3168995B1 (en) * | 2014-07-09 | 2020-09-09 | Hitachi, Ltd. | Large-scale sensor network system |
| JP6819909B2 (en) | 2015-10-13 | 2021-01-27 | 日本電気株式会社 | Structure abnormality detection system, structure abnormality detection method and recording medium |
| JP6418457B2 (en) * | 2016-03-24 | 2018-11-07 | 株式会社ＮｅｊｉＬａｗ | Building measurement system and screw member |
-
2018
- 2018-03-31 JP JP2018070451A patent/JP6495509B2/en active Active
- 2018-03-31 CN CN201880032616.3A patent/CN110832879B/en active Active
-
2019
- 2019-03-05 JP JP2019053743A patent/JP7174204B2/en active Active
-
2022
- 2022-09-01 JP JP2022151932A patent/JP7483195B2/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005156298A (en) * | 2003-11-25 | 2005-06-16 | Hitachi Ltd | Wheel load/lateral pressure measuring apparatus |
| JP2006146347A (en) * | 2004-11-16 | 2006-06-08 | Kawada Kogyo Kk | Measurement system and base module constituting the same |
| CN104583730A (en) * | 2012-08-17 | 2015-04-29 | 公益财团法人地球环境产业技术研究机构 | System for measuring distributions of pressure, temperature, strain of substance, method for monitoring underground storage of carbon dioxide using same, method for evaluating influence of carbon dioxide injection on stability of stratum, and freezing monitoring method |
| JP2014126398A (en) * | 2012-12-25 | 2014-07-07 | Japan Agengy For Marine-Earth Science & Technology | Carbon dioxide partial pressure measuring apparatus, and cell unit for the same |
| JP2014163866A (en) * | 2013-02-27 | 2014-09-08 | Mitsubishi Heavy Ind Ltd | Diagnostic device and diagnostic method for nonlinear response |
| JP2016065754A (en) * | 2014-09-24 | 2016-04-28 | 株式会社ＮｅｊｉＬａｗ | Method for measuring building structure |
| CN205892393U (en) * | 2016-07-29 | 2017-01-18 | 广东省建筑科学研究院集团股份有限公司 | Closed monitored control system of construction elevator guard gate |
| CN106657293A (en) * | 2016-12-06 | 2017-05-10 | 上海斐讯数据通信技术有限公司 | Data collection terminal, system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7483195B2 (en) | 2024-05-15 |
| JP2019140687A (en) | 2019-08-22 |
| JP7174204B2 (en) | 2022-11-17 |
| JP2018193849A (en) | 2018-12-06 |
| CN110832879A (en) | 2020-02-21 |
| JP2022191271A (en) | 2022-12-27 |
| JP6495509B2 (en) | 2019-04-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110832879B (en) | Remote state monitoring system and monitoring method | |
| JP6879873B2 (en) | Failure probability evaluation system | |
| US11899442B2 (en) | System and method for structural health monitoring using internet of things and machine learning | |
| CN102330645A (en) | Health monitoring system and method for wind generator system structure | |
| US10612996B2 (en) | Structural state evaluation system for smart structure using multi-sensing | |
| Rolfes et al. | Integral SHM-system for offshore wind turbines using smart wireless sensors | |
| Rebelo et al. | Structural monitoring of a wind turbine steel tower—Part I: System description and calibration | |
| Malik et al. | Low cost internet of things platform for structural health monitoring | |
| US20160169729A1 (en) | Weather data-dependent level sensor retrieval | |
| Iliopoulos et al. | Continuous fatigue assessment of an offshore wind turbine using a limited number of vibration sensors | |
| JP2006170861A (en) | System for determining damaged degree of bridge in earthquake, and damaged degree diagnostic unit | |
| CN112924061A (en) | Wireless real-time monitoring system and method for non-uniform settlement stress of natural gas pipeline | |
| CN113109587B (en) | Method, system and device for measuring wind speed of power transmission line and storage medium | |
| CN103604624A (en) | Damaged cable and concentrated load recognition method on basis of hybrid monitoring | |
| CN202485722U (en) | Safety early-warning device for small and medium-sized bridges in operation period | |
| KR102353866B1 (en) | Displacement and rotation measuring device for high temperature and strain measuring device for high temperature based on IoT and system for evaluating safety of piping using thereof | |
| WO2018211836A1 (en) | Remote state monitoring system and monitoring method | |
| CN204856174U (en) | Suspension bridge cable safety integrated monitoring system | |
| CN112540165A (en) | Water and soil loss early warning system and method | |
| KR20070111876A (en) | Wireless type real-time display and evaluation equipment of accumulative fatigue damage of the structures | |
| Angrisani et al. | An innovative embedded wireless sensor network system for the structural health monitoring of RC structures | |
| JP2019109169A (en) | Corrosive environment monitoring device and corrosive environment monitoring system with the same | |
| KR20110019627A (en) | Remote control system of structure | |
| CN212956488U (en) | Static load test instrument and static load test system | |
| Ha et al. | Structural health monitoring of infrastructure using wireless sensor system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |