High-precision simultaneous multi-point measuring apparatus

Abstract

To solve the problem that in a case where a plurality of detection means is installed in an integrated structure such as a conduit pipe and an elastic wave or the like is observed for a purpose of specifying a leakage location or the like, a large amount of cost and labor are spent on calibration of time information between the detection means, so that it is desired to realize an inexpensive and highly accurate time synchronization method and to automatically perform distance measurement of each detection means.SOLUTION: In addition to information to be a target in detection means, a standard time radio wave or the like is received and managed as integrated information, and time series information of data observed by each detection means is corrected based on the time information. Analysis close to real time is performed by using a 260 MHz band being a band of disaster prevention administrative radio for transmission of each detection means and its observation data. An artificial elastic wave is generated by keying, and distance between the detection means is calculated.SELECTED DRAWING: None

Description

[Technical Field]

[0001] The present invention relates to a simultaneous multipoint measurement device that acquires data from multiple detection means installed in an object to be measured and performs temporal analysis between the data. Specifically, the present invention relates to a simultaneous multipoint measurement device that can be applied to a leak detection device that acquires elastic wave data in a pipeline using multiple detection means and detects pipeline leaks between the detection means, or an epicenter measurement device that measures the epicenter of an earthquake using crustal movement detection means installed at multiple observation points. For example, systems have been developed to detect and estimate water leaks in water supply pipes (sometimes referred to as water leak detection systems). In a prior art water leak detection system, a sensor is installed in a buried pipe and detects vibrations in the buried pipe. This system determines the presence and location of a leak in the buried pipe based on analysis of the detection signal acquired from the sensor. [Background technology]

[0002] Examples of prior art related to water leak detection systems include Japanese Patent Application Laid-Open No. 2017-167063 (Patent Document 1), Japanese Patent Application Laid-Open No. 9-23483 (Patent Document 2), and Japanese Patent Application Laid-Open No. 2005-33137 (Patent Document 3). Patent Document 1 describes, as a leak location detection method, a method using a closed-circuit radar device to identify the location of a fluid leak in an underground buried pipe, and a "liquid-impermeable covering member" that covers the pipe to prevent contact with the soil. Patent Document 2 describes, as a pipeline rupture detection system, a method in which multiple sensors equipped with wireless communication and leak estimation functions are installed along the pipes of a pipeline network, and adjacent sensors cooperate to detect water leaks in a distributed manner. Patent Document 3 describes, as a water leak monitoring device, a method in which a vibration sensor converts water leak sound vibrations transmitted through water pipes into an electrical signal and determines which of multiple water leak detection levels the water leak sound vibration corresponds to. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2017-167063 A JP 9-23483 A JP 2005-33137 A Summary of the Invention [Problem to be solved by the invention]

[0004] Conventionally, a known example of this type of simultaneous multipoint measurement device with multiple detection points is a leak detector used to determine the presence and location of leaks in underground pipelines (pressure pipes such as water pipes and gas pipes). Figure 1 is a schematic diagram explaining the general configuration and principles of a currently used water leak detection device. In the figure, 501 denotes an underground pipeline, 503 denotes equipment exposed in a manhole or handhole such as a water control valve, and 101A, 103A, and 105A denote a transmitter / receiver, an acceleration or velocity sensor, and a connecting cable, respectively. (Hereinafter, these three are collectively referred to as detection means A.) 101B, 103B, and 105B (hereinafter, these three are collectively referred to as detection means B) are the second detection means. Note that although only two detection means are shown here, leak detection is typically performed using more than two detection means. Reference numeral 301 denotes a personal computer used for analysis, which calculates the location of the water leak from the elastic wave data received by the acceleration or velocity sensor; 303 denotes a transmitter / receiver; and 305 denotes a connecting cable. The transmitter / receiver of the detection means and the transmitter / receiver connected to the personal computer for analysis typically exchange elastic wave data and control commands via wireless or wired communication. Reference numeral 901 denotes the ground surface. Assume that a water leak occurs at point X between detection devices A and B at time T1 in this system. In this state, as shown in Figure 3, a detection signal associated with the water leak is observed by detection means A after time τ1, and the same detection signal associated with the water leak is observed by detection means B after time τ2. Here, the distance d from acceleration or velocity sensor 103A to water leak point X can be expressed by the following equation 1, using the time difference τ between the water leak sounds (elastic waves) arriving at the two detection devices A. In Equation 1, L is the distance between acceleration or velocity sensors 103A and 103B, and c is the speed of sound (elastic wave speed) in the material that makes up the pipeline, both of which are known quantities. Therefore, by observing the difference τ in the arrival times of the water leakage sounds (elastic waves) detected by detection means A and B, it is possible to identify the location of water leakage point X.However, in addition to the sound of water leaks, the observed elastic wave data also includes vibrations from passing vehicles, foot traffic, vending machine compressors, industrial activities, and natural phenomena such as wind, rain, waves, and tides. To remove these, it is necessary to perform cross-correlation calculations and spectral analysis on the elastic wave data observed by the detection means. The elastic wave data observed by each detection means alone only provides information on the vibration state at each observation point. Only by linking these data with time axis information can the location of a leak be analyzed. For this reason, current water leak detectors incorporate high-precision clocks into each detection means, synchronize the clocks of each detection means prior to observation, and somehow link and record the vibration data and clock information during observation. For cast iron, the primary material used for water and gas pipes, c is approximately 5,600 m / s. (To be precise, this varies slightly depending on the pipe diameter.) If there is a 1% error in the measurement of τ, the calculated value of L will have an error of 2.3 m. The accuracy required of the built-in clock and the method for synchronizing the clock will depend on how much of this error is acceptable within a practical range. To determine the acceptable error, we will examine it from an economic perspective by digging up the road surface, identifying the leak location, and performing emergency repairs. Currently, the minimum excavation width for water pipe construction is approximately 0.6 m to ensure sufficient working space for workers. For this reason, the heavy equipment used for excavation, known as a backhoe, is equipped with a bucket that can excavate a width of 0.6 m in one go. Therefore, to expose the leak in a single excavation, the error in the leak location identified by the water leak detector must be at least half of 0.6 m, or 0.3 m. In Figure 5, 501 is the water pipe where the leak occurred, 701 is the predicted leak point calculated by the water leak detector, 705 is the actual leak point, and 703 is the excavation area. Explaining based on Figure 5, if excavation is carried out 0.6 m wide in the extension direction of the pipeline, centered on the leak position estimated by the water leak detector, the distance from the estimated leak position to the boundary of the excavation area will be 0.3 m. However, this error of 0.3 m is merely a logical figure that indicates that the leak point will be exposed within the excavation area.During actual emergency repairs, water-stopping devices such as clamps and split rings are attached to leaking pipes. Considering the size of these devices and the space required for workers to maneuver around to install them, an ideal error would be within a maximum of 0.1 m. If an error of 0.1 m or more occurs in locating the leak, additional excavation along the length of the pipe is required. However, even in this case, the additional excavation must be limited to the minimum width of 0.6 m that a machine can excavate. While manual excavation is an option, it takes significantly more time than mechanical excavation, making this an unfeasible option if the primary focus is to quickly repair the leaking pipe. In other words, if the leak location cannot be located within a 0.1 m error, the amount of earthwork excavation and backfilling, as well as the amount of pavement destruction and restoration, automatically doubles or triples, and the work time naturally doubles or triples accordingly, resulting in increased financial and time burdens. Given that the tolerance for error in leak location is 0.1 m, the built-in clocks must be accurate to at least one-hundred-thousandth of a second, and all detection means must be synchronized within this accuracy. Adjusting the clocks of each detection means to an accuracy of one-hundred-thousandth of a second is simply not possible for a human to achieve by manually operating switches. All detection means must be centrally located and connected to a master unit via wired or wireless connection, which simultaneously transmits time information to synchronize the clocks. While this mechanism is simple, implementing a high-precision clock on each detection means would inevitably increase the manufacturing cost of the leak detection device itself. To calculate the leak location using Equation 1, in addition to observing τ, it is necessary to measure the distance L from each detection means. According to Equation 1, the measurement error in L is half the error in the predicted leak location d. Therefore, if the tolerance for error in leak location identification is 0.1 m, the measurement of L must be accurate to within 0.2 m. With this level of accuracy, it is possible to measure manually using a tape measure or similar, but when multiple detection means are placed, as in current water leak detectors, the labor involved and the time required become significant. For example, when the detection means are placed in a straight line on one pipe, as in Figure 7, measuring the distance three times is sufficient.In this case, the distance LAD between detection methods A and D can be calculated by summing LAB, LBC, and LCD. Similarly, the distance between other detection methods can be calculated by summing LAB, LBC, or LCD. However, in large urban areas and settlements, pipelines are often networked, making the one-dimensional approach shown in Figure 7 inapplicable. For example, when the pipelines are arranged in a corridor, as shown in Figure 8, the distance LAD between detection methods A and D is not the sum of LAB, LBC, and LCD, and separate measurements are required. Figure 9 shows a very simple example; however, as the piping configuration becomes more complex, it may become necessary to measure the distance between each detection method separately. The elastic wave data acquired by each detection method is ultimately collected in a master unit or a personal computer for analysis, such as correlation calculations. This means that some means of transmitting the acquired data is required. Traditional products with only two detection methods often used wireless communication using specified low-power types. This is because, with only two detectors, a good communication environment can be achieved by placing the detectors in a line-of-sight configuration. Furthermore, many products released before the 2005 revision of the Radio Law were capable of high-power communication. However, in the case of multi-point detectors that require multiple detectors to simultaneously detect leaks over a wide area, ensuring line-of-sight between each detector is difficult. Furthermore, for products intended for the domestic market, the revised Radio Law prohibits the easy increase of output power, necessitating the adoption of other methods. While wired connections are possible, laying and recovering the cables is extremely time-consuming, and the impact of installation on road traffic in urban areas is significant. For this reason, wired connections between detectors are rarely adopted. Most commonly used methods involve short-range communication using standardized standards such as LPWAN, Wi-Fi, or Bluetooth, or offline data transfer using external storage media. When using short-range communication, the detectors must be temporarily removed from their measurement locations and moved within communication distance to the parent device or a personal computer for analysis.Alternatively, a recently developed technology called drive-by involves installing a master unit and a personal computer for analysis in a vehicle and driving around the vicinity of each detection device to collect data. Regardless of which method is used, workers must retrieve the recorded elastic wave data from each detection device, increasing the measurement time. When actually conducting on-site leak detection, except in cases where water is already gushing out, it is rare for a clear leak to be discovered immediately after installing a detection device. When a suspicious waveform is detected, it is often necessary to adjust the placement of the detection device appropriately and check the waveform again, a process of trial and error. On-site workers desperately desire a smoother process. However, existing products use the aforementioned short-range communication or offline methods, which are difficult to say fully meet the needs of the field.

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[0005] The accuracy of the clocks installed in each detection method and the time accuracy of those clocks can be addressed by using standard radio waves instead of clocks. In Japan, standard radio waves are transmitted from two locations: Saga Prefecture and Fukuoka Prefecture. The radio wave bands used are 60 kHz and 40 kHz, which are included in the FM radio band. The time signal is generated using a hydrogen maser, which has excellent short-term frequency stability (less than one day), and a cesium atomic clock, which has excellent long-term frequency stability (more than one day). This combines these clocks to achieve an astonishing accuracy of 1×10-12, well within the target accuracy of one hundred-thousandth of a second. Precise time signals that can be used as an alternative to clocks can also be obtained from artificial satellites. In addition to the US GPS, various countries have launched and operated GNSS (Global Navigation Satellite System) satellites in recent years. Japan has also begun operating the Quasi-Zenith Satellite System "Michibiki," with seven satellites currently in operation. Measuring the distance between each detection method can be done simply, quickly, and accurately using artificially generated keystroke sounds. Each detection device includes a speedometer or accelerometer. By applying an impact to the pipe near a specific speedometer or accelerometer and observing the time difference between the impact and the arrival time, the distance between each detection device can be determined, since the elastic wave velocity through the pipe is known. This method requires that all detection devices receive radio signals from standard time or satellites, as in claims 1 or 2, and maintain highly accurate time signal information. For communication between each detection device and the master unit or analytical personal computer, especially for water leak detection, the 260 MHz digital system used in mobile disaster prevention administrative radio systems can be used. Mobile disaster prevention administrative radio systems previously operated using analog systems in the 150 MHz and 400 MHz bands. However, the 260 MHz digital system was introduced in 2001, and a transition to this system is currently underway. Digitalization has advanced wireless functionality, enabling multi-channel operation, direct calling of individual terminals, and data communication such as image transmission. [Effects of the Invention]

[0006] The advantages of implementing this invention are as follows. First, by utilizing the time signal of the standard time radio wave, a leak detection device can be realized that can quickly and inexpensively pinpoint the location of leaks accurately. Furthermore, since long-wave standard time radio waves are already in practical use around the world, equipping the detection device with FM radio functionality has the advantage of enabling immediate use overseas. The Quasi-Zenith Satellite System "Michibiki" was launched and is operated by Japan to complement the Global Positioning System (GPS) operated by the United States. Its primary purpose is to shorten positioning time and improve positioning accuracy, and the data format transmitted from the satellite conforms to GPS. As shown in Figure 11, the satellite's orbit is a modified figure-eight shape, stretching from Japan across the equator to Australia. Reference numeral 705 in Figure 11 denotes the wide-area reception band, covering the area from 90°E to 180°E and from 60°N to 60°S. 703 is the reception band for the area near Japan, covering the area from 110° to 160° east longitude and 22° to 60° north latitude. In the area near Japan, at least one satellite is scheduled to fly at an elevation angle of 70° or higher at all times, making it fully operational as a highly accurate clock signal source. One of the benefits of using radio waves transmitted from Michibiki as a clock signal source is the ability to secure a single signal source. For example, if GPS signals are used as a clock signal source and detection devices are widely installed, there is no guarantee that all detection devices will capture the same satellite. Furthermore, depending on the radio wave conditions, the satellite receiving the clock signal source may switch during measurement. Figure 13 shows an example of satellite signal capture, with 1101, 1103, and 1105 representing GPS satellites A, B, and C, respectively. In this diagram, detection means A initially receives radio waves from GPS satellite A, but due to changes in radio wave conditions, etc., it switches to receiving radio waves from GPS satellite B, so that detection means B only receives radio waves from GPS satellite B, and similarly detection means C only receives radio waves from GPS satellite C. In this type of reception state, it is difficult to say that the same signal source is being secured. GPS and other GNSS satellites have built-in atomic clocks that use rubidium or cesium, making the time extremely accurate, and are regularly calibrated to Universal Time from a ground base.However, even if the clock accuracy of each individual satellite is excellent, there is no guarantee of accuracy between multiple satellites. The core of this invention is that all detection means share the same time signal source, so even if the time itself does not match the ground time, it does not pose a major problem. For this reason, the use of "Michibiki," which has an extremely high probability of all detection means receiving radio waves from the same satellite, is important. Another advantage of using "Michibiki" is its high elevation angle. Figure 15 shows an example in which the detection means receives radio waves from a satellite that is not directly visible as reflected waves. In addition to the example shown in the figure, radio waves other than direct waves can also be received due to refraction or diffraction. Considering that radio waves travel at the speed of light, the difference in propagation distance from direct waves has only a small impact on clock accuracy. However, to maximize time accuracy, such situations should be avoided. Some commercially available satellite receivers have the ability to filter out radio waves other than direct waves, but these systems are complex and naturally expensive. Because Michibiki has a very high elevation angle of over 70 degrees, it can receive direct signals even in narrow valleys and high-rise buildings, reducing the cost of receivers. Accurately measuring the distance between each detection device using keystroke sounds eliminates the need for measuring with a tape measure on the road, facilitating the installation of detection devices over a wide area. Furthermore, relocating detection devices and narrowing down leak locations through a trial-and-error process eliminates the need to remeasure the distance between devices, dramatically improving work efficiency. Because the communication range of digitalized disaster prevention administrative radio communications is quite wide, using standardized communication equipment allows for rapid data transmission between each detection device and an analytical personal computer without having to worry about interference. Furthermore, by consolidating signals from each detection device at a wireless base station, it is possible to expand the system to operate permanent facilities such as leak monitoring centers. Another advantage of this system is that for municipalities that already have wireless infrastructure, the cost and maintenance of such equipment is limited to the cost of the communication equipment installed on the detection devices. [Brief explanation of the drawings]

[0007] [Figure 1] Schematic diagram explaining the general configuration and principles of a water leak detection device [Figure 2] Schematic diagram of the waveform of elastic wave data generated by the leak [Figure 3] Schematic diagram of leak location on the pipeline, estimated location, and excavation area [Figure 4] Conceptual diagram of the distance between detection means when they are arranged in a straight line [Figure 5] Conceptual diagram of the distance between detection means when they are placed in a pipeline on a corridor [Figure 6] Orbital diagram of the Quasi-Zenith Satellite "Michibiki" [Figure 7] Conceptual diagram of a detection method receiving radio waves from multiple satellites [Figure 8] Conceptual diagram of a detection means receiving direct and reflected waves from a satellite [Figure 9] Standard time radio wave output format [Figure 10] Conceptual diagram of time axis alignment of data acquired by different detection methods [Figure 11] Conceptual diagram of the procedure for receiving radio waves from a satellite [Figure 12] Image of data transmitted from the satellite [Figure 13] Conceptual diagram of a keystroke sound generator [Figure 14] Computer screen image during leak location analysis DETAILED DESCRIPTION OF THE INVENTION

[0008] Figure 17 shows the output format of standard time radio waves currently used in Japan. Standard time radio waves have only two output states: high output and low output. These form pulse waves of three lengths, transmitted every second. There are three pulse lengths: 0.8 seconds for high output, 0.5 seconds, and 0.2 seconds for high output, representing a 0 bit, a 1 bit, and a marker. Markers are normally transmitted every 10 seconds, but they are also transmitted twice consecutively at 59 seconds and 0 seconds into the minute. Aside from the marker and reserved bits, all other bits are assigned a meaningful value based on the pulse length. When a 1-bit pulse is observed, the assigned value is added. In this way, standard time radio waves transmit information about the year, month, day, hour, and minute in 60 pulses transmitted per minute. Therefore, by observing standard time radio waves for at least two minutes, it is possible to determine the year, month, day, hour, and second that each pulse represents. By clarifying which date and time each pulse of the standard time radio wave indicates, it becomes possible to automatically correct (or identify) the observation data obtained by each detection method. Figure 19 is a conceptual diagram of data correction. This diagram shows the procedure for aligning the time of data measured by detection method A by correcting the data measured by detection method B along the time axis for data measured by detection method A and B. After this correction, calculating the correlation between the data measured by detection methods A and B enables the location of water leaks to within an error of 0.1 m, as targeted by this invention. The Michibiki satellites are operated to complement GPS, and their primary purpose is to identify locations on Earth. The principles of GPS terrestrial location identification are not relevant to this invention and will not be discussed further here. However, to identify terrestrial location, at least four satellites must be simultaneously captured. For this reason, Michibiki and GPS satellites use the CDMA (Code Division Multiple Access) method, in which all satellites use the same frequency band when transmitting information to the ground. By adopting this CDMA system, it is possible to receive radio waves from all satellites using a single type of receiving device, which contributes to cost reductions such as reducing the circuit scale of the transmitting and receiving device and unifying the antenna structure.Michibiki and GPS satellites transmit information to Earth using a pseudorandom code called a PRN (Pseudo Random Noise) code assigned to each satellite before transmitting it as radio waves. Therefore, extracting information from a specific satellite is possible by decoding the received radio waves using a replica of the PRN code of the target satellite (Figure 21). Successfully decoding the radio wave information received from a satellite yields the GPS navigation message, a conceptual data format shown in Figure 23. A GPS navigation message is made up of five subframes, and after transmitting a frame, the satellite repeatedly transmits updated frame information based on time series changes. The frame contains information about the satellite's position, health status, time correction coefficient, and summary information about all other satellites. However, since this information is not relevant to this invention, we will omit a detailed explanation of the time information alone. Each subframe consists of 300 bits and takes six seconds for reception on Earth. The beginning of each subframe always contains a telemetry word (TLM) followed by a handover word (HOW). The first 8 bits of the TLM are called the preamble and are fixed to "10001011" as of July 2024. The first 17 bits of the HOW indicate the time in 6-second increments, starting from midnight on the Sunday immediately preceding the TOW-COUNT MESSAGE, indicating when the next subframe will be transmitted. The first 10 bits of the first frame are the week number, representing the week number starting from April 7, 2019. From this information, terrestrial detection devices can obtain the currently received year, month, date, and time. Note that the second pulse is more accurate when locked to the carrier wave and generated by detecting its phase reversal. Furthermore, because the first 30 seconds of the standard time radio wave are internationally standardized, when converting to standard time radio wave format, a binary-coded code such as "GNSS" is embedded in any part of the 1-minute data other than the last 30 seconds of the carrier wave as an identifier that the time information is a satellite radio wave, taking into consideration use overseas.For example, if elastic wave data is acquired in units of one-hundred-thousandth of a second with 8-bit resolution, the amount of data acquired per second will be 800Kbits. A time signal is added to this, but because standard time radio waves only have two states, high and low output, they can be expressed in one bit. However, because 55% of the pulse's rising edge constitutes the standard one-second signal, it is appropriate to acquire the data at approximately 8 bits, and then convert the minimum and maximum values ​​to 1 bit before transmitting them to a threshold value. The combined 8-bit elastic wave data and time signal data amount to 900Kbits per second per detection device. Even if current technology could compress the data to an average of 180Kbits, or one-fifth of the original size, it would not be possible to transmit and receive it in real time at the current disaster prevention administrative radio data communication specification of 25.6Kbits / sec. For this reason, each detection device will be equipped with a temporary memory device, which will sequentially transmit the data stored in this memory to a personal computer for analysis. To generate a keystroke sound, it is sufficient to apply a physical impact to the tube or its accessories. While manual force is acceptable, it is effective to generate the sound as close as possible to the speed or acceleration sensor of the detection means to increase the accuracy of distance measurement. Furthermore, since variations in the force applied during keystrokes widen the range of elastic wave data captured by the sensor and complicate the determination of arrival time, it is desirable to apply the impact with a uniform force. Furthermore, since the impact must be applied within a range that does not damage the pressure tube or its accessories, a dedicated keystroke device may be considered. Figure 25 shows an image of the keystroke device. The mechanism is extremely simple: a weight is lifted by a motor or other power source and then allowed to fall freely from a certain height, impacting the tube or its accessories. However, due to the risk of fire in gas pipes, if the weight is made of metal, the tip must be covered with a resin or other material. [Example]

[0009] Figure 27 shows an example of the operation screen of an analysis personal computer assuming the implementation of the present invention using currently available technology when the detection means is a portable device. Communication with the detection means requires the use of radio bands allocated to disaster prevention administrative radio or businesses for business use, so it may not be possible to assign a channel to each detection means. Furthermore, current technology levels of wireless speed do not allow for real-time transmission of measurement data, so even if the data measurement is complete, it is possible that the data may show a "transferring" or "waiting" status, as shown in Figure 27. [Industrial Applicability]

[0010] The present invention surpasses existing portable multi-point leak detection devices in terms of cost, measurement accuracy, and time required from measurement to analysis, and is expected to be a significant replacement for existing devices. Because the present invention can be applied to any pressure pipe to detect leaks, it has considerable potential for a wide range of applications, including not only water supply and gas pipes but also refinery and chemical manufacturing plants, as well as factories that use pressure pipes to manufacture gases or liquids. Furthermore, because the detection device is attached to the outside of the pipe, no modifications are required to the existing piping, allowing for low-cost and rapid implementation of a leak location detection system. Furthermore, unlike pipes located under roads, piping within dedicated premises such as plants and factories allows for faster wired communication between the detection device and the analysis personal computer. Furthermore, the power required to operate the detection device can be easily supplied via power lines rather than batteries, enabling continuous monitoring and analysis, further enhancing the benefits of implementing the present invention. By installing permanent detection means outside the plant, mainly on important lifeline trunk lines, and conducting constant centralized monitoring, it will be possible to carry out emergency inspections and quickly identify damaged areas not only during peacetime but also after natural disasters such as earthquakes. [Explanation of symbols]

[0011] 101Å Transmitting and receiving device of detection means Å 101B Transmitter / receiver of detection means B 101C Transmitting / receiving device of detection means C 101D Transmitting / receiving device of detection means D 103Å Transmitting and receiving device of detection means Å 103B Transmitter / receiver of detection means B 103C Transmitting / receiving device of detection means C 103D Transmitting / receiving device of detecting means D 105Å Connection cable for detection means Å 105B Connection cable for detection means B 105C Connection cable for detection means C 105D Connection cable for detection means D 301 Personal computer for analysis 303 Transmitter / receiver for analytical personal computer 305 Analysis personal computer connection cable 501 Underground pipelines 503 Water control valve (pressure regulating valve) 701 Expected leak location 703 Excavation Range 705 Actual leak location 901 Ground surface 903 Architectural structures 1101 GPS satellite A 1103 GPS satellite B 1105 GPS satellite C 1201 Directly Arriving Radio Waves 1203 Radio waves that arrive after reflection 1301 Satellite internal processing 1303 Satellite transmitting antenna 1305 Receiver internal processing 1307 Radio waves transmitted from satellites 1309 Radio waves received by a receiver 1501 GPS satellite data transmission unit 1 frame 1503 GPS satellite data transmission unit 1 subframe 1701 Weight lifting motor 1703 Reducer 1705 Weight pulling wire 1707 Typing weight 1709 Resin coating of weight 1711 Velocity or Accelerometer 1713 Protective Cover

Claims

1. A simultaneous multipoint measurement device with multiple detection means on the object to be measured, which has a receiving unit that receives the time signal wave of the standard radio wave transmitted from a ground base, and the function of simultaneously converting the time signal wave received by this receiving unit and the data from the detection means from analog to digital, and storing or transmitting the data as a single unit.

2. The simultaneous multipoint measuring device of claim 1 has a receiving unit that receives radio waves containing time information from a quasi-zenith satellite as a substitute for or complement to the time signal wave of the standard radio wave, a converting unit that processes the received time information into a standard radio wave transmission format, and a function that simultaneously converts the converted time information and data from the detection means from analog to digital and stores or transmits them as integrated data.

3. In the simultaneous multi-point measuring device of claims 1 and 2, when used for public purposes such as waterworks, it has the function of using the digital 260 MHz band frequency assigned to public utilities as a means of transmitting data to external monitoring devices, analytical computers, etc.

4. The simultaneous multipoint measuring device according to claim 1 further comprises a keystroke sound generating device for measuring the precise distance between the detecting means.

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