KR101187044B1 - Two step implementation schedule through the sensor signal processing, data compression and signal processing systems - Google Patents

Abstract

PURPOSE: A sensor signal processing system for performing data compression through two-step scheduling and a method thereof are provided to efficiently process data by transmitting a great deal of data collected from a sensor all at one time. CONSTITUTION: One or more sensor units(100) measure a measurement object. A plurality of sensor units is installed in the measurement object to measure various signals. A logger unit(110) receives a signal which was measured in the plurality of sensor units. A wireless modem(120) transmits corresponding data to a wireless network. A center server(300) receives the data transmitted to the wireless modem of the logger unit passing through a base station(200). The center server simultaneously receives the data from different fields through each individual port. [Reference numerals] (120) CDMA modem; (300) Center server; (AA,HH,KK,NN) ZigB wireless communication module; (BB) RS232 module; (CC) CDMA control unit; (DD) Wireless transmission; (EE) Internet network; (FF,II,LL) Sensor; (GG,JJ,MM) Amplifier

Description

Two step implementation schedule through the sensor signal processing, data compression and signal processing systems

The present invention relates to a sensor signal processing system and a signal processing method for implementing data compression through a two-stage schedule, and more particularly, a sensor for implementing two-stage compression for efficiently monitoring and managing a signal measured by a sensor unit. A signal processing system and method are disclosed.

Conventional structure status measurement, sensors for measuring the physical state, such as measuring the state of the various devices are made of a wired base from the administrator's computer or server. In order to transfer the data collected from the sensor to the administrator's computer or server, wired cables are used in the short distance, and optical cables and leased lines are used in the long distance.

In addition, in the case of wired cables, it is difficult to install steel pipe plumbing equipment for cable installation, which may lead to increased working time, cost, and noise. Not.

In the case of using a plurality of data loggers, the cost and power consumption are excessively increased due to the installation of the data logger, and in the case of the optical cable or the leased line using the long distance communication, there is a large burden on the maintenance cost as well as the expensive installation cost.

Currently, accidents such as earthquakes, slopes, destruction of soils, and collapse of buildings occur frequently at general construction sites. Of course, there is a system that tells you whether there is a risk by automatically measuring in case of dangerous facilities, but in most cases, data is transmitted once per hour.

In order to overcome this problem, the introduction of an upgraded system is being discussed, but there are problems such as cost and construction of system management communication facilities. In addition, since the real-time measurement is to transmit all the data of the sensor is required to establish a communication facility more than optical communication, there is a problem in that there is a large burden on the cost.

The present invention for solving the above problems is to provide a data signal processing system and a signal processing method that can improve the efficiency of data processing by designing to transmit a large amount of data collected from the sensor at one time.

It is also an object of the present invention to provide a compression system that can improve the efficiency of the system by increasing the space utilization of the central system (server) that manages data.

The present invention for achieving the above object, in the sensor signal processing system, a sensor for processing the signal of the measurement object, an amplifier for measuring the signal input from the sensor, the analog data amplified by the amplifier digital signal ADC to convert the sensor, the sensor, the amplifier, the CPU to control the ADC, and a communication module for transmitting a wireless signal to the signal obtained from the sensor, the first step after converting the signal obtained from the sensor into a digital signal The sensor unit calculates data by a schedule process, and converts or compresses the data calculated by a two-stage schedule process at a predetermined time interval, and compresses the data received from the communication module of the sensor unit at a predetermined time interval. The logger unit and the logger to directly transmit the compressed data through a wireless modem. It compresses the data transmitted from the logger unit and stores it in the DB, and when connected online from the outside through a client program, characterized in that it comprises a central server that provides the compressed data stored in the DB.

In addition, the sensor unit, the maximum value (MAX)-minimum value (MIN)-average value (AVERAGE)-natural frequency analysis (FFT)-IIR (digital filtering 1)-FIR (digital filtering 2) for the signal detected by the sensor It is characterized in that the operation selectively in the).

In addition, the sensor unit, characterized in that the conversion to the logger after converting to ASCII TEXT form in a one-step scheduling process.

The sensor unit may transmit data calculated at one-second intervals of one hundredths by a one-step scheduling process to the logger.

In addition, the sensor unit, characterized in that to compress the data calculated in a two-stage schedule process at intervals of one minute to transmit to the logger.

In addition, the logger unit, characterized in that it has a function to send an SMS text to the mobile phone of the administrator via the wireless modem.

In addition, the CPU of the sensor unit implements FFT calculation processing and FIR / IIR filtering when the sensor is a seismometer, a vibrometer, an accelerometer.

In addition, the CPU of the sensor unit implements MIN / MAX / AVE when the sensor is a strain gauge, a laser displacement gauge, a potentiometer, a tilting machine, a pressure gauge, a load gauge, a wind direction / windometer, a thermometer, a pH measuring instrument, an oxygen measuring instrument, and a gas detector.

In the sensor signal processing method, a first step of detecting a corresponding signal from a measurement object through a sensor through a sensor, a second step of calculating a signal received in the first step, and data calculated in the second step Is sent to the logger through a one-stage schedule process to make a single data at regular time intervals, or the third and the data sent through the third step to compress the data to a logger through a two-stage schedule process at regular time intervals. Is compressed in the case of single data, and in the case of the compressed data, a fourth step of transmitting the data to the central server and a fifth step of storing the data transmitted in the fourth step in the central server.

In the second step, a maximum value (MAX), minimum value (MIN), average value (AVERAGE), natural frequency analysis (FFT), IIR (digital filtering 1), and FIR (digital filtering 2) are selectively calculated.

In addition, the third step is characterized in that to transmit a single data in ASCII format in a one-step scheduling process.

In the third step, the single data is transmitted at one-hundredths of a second interval when the single data is transmitted in a one-step scheduling process, and the compressed data is transmitted at one minute intervals when the compressed data is sent.

The third step may further include sending an SMS received from the sensor unit to a mobile phone of a preset administrator via a CDMA modem.

According to the present invention configured and operated as described above, the data received by the first-stage schedule can be compressed and transmitted by the second-stage schedule, thereby allowing more data to be transmitted each time one data is to be transmitted. In the first stage of transmission, the logger receives data, interprets the data by its own standard management, and sends a SMS to the user if there is a problem.

In addition, since the data is transmitted in a compressed form, the corresponding transmission data can be managed in the form of a compressed file, thereby saving server space and lowering physical costs.

In addition, the schedule management is carried out in two steps from the method of transmitting data whenever it is generated, and at the same time, it is possible to compress and transmit the transmission time, thereby reducing the power consumption required for transmission. Reduced power consumption extends battery life, enabling wireless transmission for extended periods of time.

As a result, it is possible to be convenient regardless of long-term field test, and convenience is possible, and it is possible to be efficient in terms of management by eliminating the need for accessories for various power supplies.

1 is a schematic configuration diagram of a sensor signal processing system implementing data compression through a two-stage schedule according to the present invention;
2 is a block diagram showing a configuration of a sensor unit of a sensor signal processing system for implementing data compression through a two-stage schedule according to the present invention;
3 is a block diagram showing a configuration of a logger unit of a sensor signal processing system implementing data compression through a two-stage schedule according to the present invention;
4 is a flowchart illustrating a signal processing method of a sensor signal processing method for implementing data compression through a two-stage schedule according to the present invention.

Hereinafter, exemplary embodiments of a sensor signal processing system and a signal processing method for implementing data compression through a two-stage schedule according to the present invention will be described in detail with reference to the accompanying drawings.

The sensor signal processing system implementing data compression through a two-stage schedule according to the present invention includes a sensor for detecting a detection signal of a measurement object, an amplifier for amplifying a detection signal input from the sensor, ADC for converting the analog sense signal amplified by the amplifier to a digital sense signal, the sensor, the amplifier, a CPU for controlling the ADC and a wireless communication module for transmitting the digital sense signal through a one-step scheduling process When receiving the first scheduling data from the CPU of the sensor unit generating the first scheduling data or the second scheduling data through the second scheduling process, and receiving the first scheduling data from the communication module of the sensor unit, the second scheduling data is compressed at a predetermined time interval. Generate and transmit, or directly through the wireless modem in the case of the second scheduling data And a central server configured to store the second scheduling data transmitted from the logger and the second scheduling data transmitted from the logger, and to provide the second scheduling data stored in the DB when connected online from the outside through a client program. do.

A sensor signal processing system and a signal processing method and system for implementing data compression through a two-stage schedule according to the present invention include a first scheduling data or a first compression data compressed at a predetermined time interval after calculating a digital sensing signal acquired by a sensor unit. 2 The main technical point is that the selected one of the scheduling data can be wirelessly transmitted to the logger and stored in the server to increase the data management efficiency.

1 is a schematic configuration diagram of a sensor signal processing system implementing data compression through a two-stage schedule according to the present invention.

Sensor signal processing system according to the present invention, at least one or more sensor unit 100 for measuring the measurement object, the logger unit 110 receiving the signals measured by the plurality of the sensor unit and the data transmitted from the logger unit It is largely configured to include a central server 300 for receiving and storing.

2 is a block diagram showing the configuration of a sensor unit of a sensor signal processing system for implementing data compression through a two-stage schedule according to the present invention.

The sensor unit 100 is installed on a measurement object to measure various signals, and corresponds to a sensor for detecting a physical signal as a preferred example according to the present invention. Here, the physical measurement sensor is applied to electric signal sensors such as seismometers, vibrometers, accelerometers, strain gauges, laser displacement gauges, potentiometers, tilt machines, pressure gauges, load gauges, wind direction / velocity meters, thermometers, ph measuring systems, oxygen measuring instruments, gas detectors, etc. Various sensors may be included.

The sensor unit includes a variety of sensors 101 of the aforementioned type for sensing a measurement object, an amplifier 102 for amplifying a detection signal obtained from the sensor, and an analog-to-analog signal for converting the amplified detection signal into an analog detection signal. A digital converter (ADC) 103, a CPU (micom; 104) that calculates a digital sensing signal and controls the sensor unit as a whole, and a communication module 105 which transmits an acquired signal (first scheduling data or second scheduling data). It includes.

The sensor unit configured as described above is configured as one module to be installed in a plurality of measurement targets to detect a corresponding detection signal and perform a function of calculating the acquired data (digital detection signal).

Here, the CPU 104 obtains the acquired digital sensing signal from the maximum value (MAX), minimum value (MIN), average value (AVERAGE), intrinsic frequency analysis (FFT), IIR (digital filtering 1), and FIR (digital filtering 2). Each operation is performed in order to calculate the desired signal from the measurement object.

Next, the operation data is processed through a two-stage schedule. In the first step, the operation data is transmitted as single data (first scheduling data) at intervals of 000.00 seconds. In this case, the operation data is transmitted in ASCII text file format. The two-stage schedule is implemented to transmit the second scheduling data by compressing at intervals of 000 minutes. In the first and second schedules, the first and second scheduling data may be selectively controlled by the CPU of the sensor unit according to the amount of data acquired.

The data files (first scheduling data and second scheduling data) data processed by the sensor unit are selectively transmitted through the communication module 1050. An example of a preferred communication module according to the present invention is a Zigbee communication module. Although it can be, a short-range communication module such as RF or Bluetooth are all applicable, but is not limited thereto.

3 is a block diagram illustrating a configuration of a logger unit of a sensor signal processing system implementing data compression through a two-stage schedule according to the present invention.

The logger 110 serves as a relay for receiving and transmitting a signal transmitted from the sensor unit (a selected one of the first scheduling data and the second scheduling data) and at the same time, the data received from the sensor unit (first scheduling data). And the second one of the second scheduling data). When data is transmitted in the form of ASCII text from the sensor unit, the first scheduling data is compressed at intervals of 000 minutes in the same manner as the sensor unit compresses the data, and when the compression is completed, the data is transmitted through the wireless communication module.

The logger unit is a CPU 111 for processing the received data, a wireless communication module 112 for connecting to the sensor unit in a wireless communication, a wired communication module (RS232 interface; 113) for implementing wired network control, the corresponding data wireless network It includes a wireless modem 120 and the modem control unit 113 for transmitting to. The wireless modem is characterized in that it is preferably composed of a CDMA module.

In addition, the logger unit further includes a power supply unit 121 for supplying power and an ADC 122 for converting an analog signal into a digital signal.

On the other hand, the CPU is designed to implement the power detection unit 111a, the dynamic measurement channel 111b, the data processing unit 111c, and the static / dynamic selection mode 111d to implement the signal processing according to the present invention.

In addition, the logger 110 implements a system for transmitting text to the mobile phone of the manager through the CDMA module. The data group exceeding the management criteria in the detection signal (selected one of the first scheduling data and the second scheduling data) received through the sensor unit sends an SMS to the mobile phone of the registered manager.

The central server 300 receives the data transmitted to the wireless modem of the logger via the base station. The central server is a server having a fixed IP each receive the data of several sites at the same time through a separate port and stored in a compressed file format in the DB.

In this case, the central server includes a remote data search function, which can access a central server through a client program and check necessary data (one selected from the first scheduling data and the second scheduling data) from the remote location.

4 is a flowchart illustrating a signal processing method of a sensor signal processing method for implementing data compression through a two-stage schedule according to the present invention.

The sensor signal processing method for implementing data compression through a two-stage schedule according to the present invention is implemented through five stages.

In a first step S100, a corresponding signal is obtained from a measurement object through a sensor. In addition, a second step (S200) of calculating the signal received in the first step is performed. In addition, the data calculated in the second step may be transmitted as a single data at a predetermined time interval, or may be compressed at a predetermined time interval and then sent to the logger unit (S300), and the data transmitted through the third step Is compressed in the case of single data, and proceeds to the fourth step (S400) of transmitting the compressed data to the central server as it is.

Finally, it consists of a fifth step (S500) for storing the data transmitted in the fourth step in a central server.

The present invention configured as described above can improve data transmission efficiency through data signal processing implemented in a two-stage schedule, and can improve storage management efficiency by applying a compression scheme. As a result, the efficiency of data signal processing can be further improved.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. On the contrary, those skilled in the art will appreciate that many modifications and variations of the present invention are possible without departing from the spirit and scope of the appended claims. And all such modifications and changes as fall within the scope of the present invention are therefore to be regarded as being within the scope of the present invention.

100:
101: sensor
102: amplifier
103: ADC
104: CPU
105: communication module
110: logger
111: CPU
112: wireless communication module (Zigbee)
113: wired communication module (RS232)
113: modem control unit
120: wireless modem
200: base station
300: central server

Claims (13)

In the sensor signal processing system that implements data compression through a two-stage schedule,
A sensor for detecting a detection signal of a measurement object, an amplifier for amplifying the detection signal input from the sensor to generate an analog detection signal, an ADC for converting the analog detection signal into a digital detection signal, the sensor, an amplifier, and an ADC A sensor unit including a CPU to control and a communication module to perform wireless transmission;
The digital detection signal is calculated by selecting the maximum value (MAX), the minimum value (MIN), the average value (AVERAGE), the natural frequency analysis (FFT), the IIR (digital filtering 1), and the FIR (digital filtering 2). Thereafter, the first scheduling data is generated through first scheduling for converting the operation data into ASCII TEXT format at one-hundredth second intervals, or the second scheduling data is generated through second scheduling for compressing the operation data at one minute intervals. CPU of the sensor unit;
When receiving the first scheduling data from the communication module to generate the second scheduling data by compressing the first scheduling data in one minute intervals on behalf of the CPU, and when receiving the second scheduling data from the communication module Logger unit for immediate transmission using the equipment radio modem; And
A central server storing the second scheduling data transmitted from the wireless modem in a DB and providing the second scheduling data to a communication terminal attempting the online connection during an online external connection through a client program; Sensor signal processing system that implements data compression.
delete delete delete delete The method of claim 1, wherein the logger unit,
And converting the second scheduling data into an SMS and transmitting the second scheduling data to the mobile phone of an administrator using the wireless modem.
According to claim 1, wherein the CPU of the sensor unit,
The sensor signal processing system for implementing data compression through a two-stage schedule, characterized in that if the sensor is any one of seismometers, vibrometers and accelerometers, selects only FFT calculation processing, FIR / IIR filtering.
According to claim 1, wherein the CPU of the sensor unit,
If the sensor is any one of the strain gauge, laser displacement gauge, potentiometer, tilt machine, pressure gauge, load gauge, wind direction / anemometer, thermometer, PH measuring instrument, oxygen measuring instrument and gas detector, it selects and selects only MIN / MAX / AVE Sensor signal processing system that implements data compression through a two-stage schedule.
In the sensor signal processing method for implementing data compression through a two-stage schedule,
A sensor unit detecting and amplifying a detection signal of a measurement object to generate an analog detection signal, and converting the analog detection signal into a digital detection signal;
The CPU of the sensor unit calculates a digital sense signal by selecting a maximum value (MAX), a minimum value (MIN), an average value (AVERAGE), a natural frequency analysis (FFT), a IIR (digital filtering 1), and a FIR (digital filtering 2). Generating data;
The CPU of the sensor unit generates the first scheduling data through the first scheduling for converting the operation data into ASCII TEXT format at one-hundredth second intervals or the second scheduling through the second scheduling for compressing the operation data in one minute intervals. Generating data;
When the logger receives the first scheduling data from the communication module of the sensor unit, the second scheduling data is generated by compressing the first scheduling data in one minute intervals on behalf of the CPU, and the second scheduling data is generated from the communication module. Transmitting immediately using an instrumented wireless modem when receiving; And
A central server storing the second scheduling data transmitted from the wireless modem in a DB, and providing the second scheduling data to the communication terminal attempting the online connection upon an online external connection through a client program; Sensor signal processing method that implements data compression through schedule.
The method of claim 9,
When the sensor is any one of an earthquake, a tachometer, and an accelerometer, the CPU of the sensor unit further comprises the step of selecting the FFT operation processing, FIR / IIR filtering only select the sensor signal to implement the data compression through a two-stage schedule Treatment method.
The method of claim 9,
When the sensor is any one of a strain gauge, a laser displacement gauge, a potentiometer, a tilt machine, a pressure gauge, a load gauge, a wind direction / wind meter, a thermometer, a pH meter, an oxygen meter, and a gas detector, the CPU of the sensor unit selects only MIN / MAX / AVE. Sensor signal processing method for implementing data compression through a two-stage schedule further comprising the step of performing a selection operation.
delete The method of claim 9, wherein the logger unit,
And converting the second scheduling data into an SMS and sending the second scheduling data to an SMS of a manager using the wireless modem. 2.

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