CN114553331A - Method, device, processor and computer readable storage medium for realizing system self-test for radio monitoring station - Google Patents

Abstract

The invention relates to a method for realizing system self-checking for a radio monitoring station, comprising the following steps: querying the transmitting stations around the monitoring station in the station database, screening station signals, and recording transmitting parameters; starting the fixed frequency measurement function of the monitoring station , measure the selected stations in turn, record the measurement results; store the measurement parameters and results in the database as the self-checking benchmark; configure the self-checking cycle and alarm conditions; and carry out the self-checking process. The invention also relates to a device, a processor and a computer-readable storage medium for realizing the self-checking of a radio monitoring station system. By adopting the method, device, processor and computer-readable storage medium for realizing system self-checking for radio monitoring stations of the present invention, the self-checking of the entire system is completed by screening, collecting, measuring and comparing external signal sources. , which minimizes the instability of non-autonomous beacons and improves the reliability of the results. In the case of ensuring equipment utilization, the daily maintenance cost is reduced.

Description

Method, device, processor and computer-readable storage medium for realizing system self-checking for radio monitoring station

technical field

The present invention relates to the field of radio frequency spectrum, in particular to the field of radio monitoring, in particular to a method, a device, a processor and a computer-readable storage medium for realizing system self-checking for a radio monitoring station.

Background technique

The radio spectrum is a finite, reusable natural resource and a valuable strategic resource. The radio monitoring station is built by the radio management department. It is a technical facility that can realize the collection, storage and analysis of radio frequency spectrum. It is the main technical support system of radio management. With the development of radio communication technology and the continuous growth of people's demand for radio communication services, the electromagnetic environment is becoming more and more complex, and the number of radio monitoring stations is also increasing. How to ensure the normal operation of a large number of stations is an urgent problem to be solved.

A typical radio monitoring station is shown in Figure 1, which is mainly composed of monitoring receivers, direction finding receivers, feeders, antennas, industrial computers, and display terminals. The normal operation of the system requires all devices to be in a normal state, so self-checking is required during system startup or long-term operation to ensure the validity and accuracy of the monitoring results.

The existing system self-test is completed independently by each core device. The monitoring receiver, direction finding receiver, and industrial computer generally have the self-test function. When the power is turned on, they can complete the self-test of their respective equipment, and transmit the equipment status to the industrial computer through the industrial computer. Display terminal, can alarm in time when a fault occurs.

However, this self-check method has the following problems:

1. The self-test of core equipment such as monitoring receivers and direction-finding receivers is mainly to judge whether the function of the equipment is normal. The evaluation of the measurement accuracy of the equipment, such as level accuracy, cannot be completed by the self-test function. To complete the above functions, a reference signal source needs to be added inside the device, which increases the complexity and instability of the device.

2. The measurement accuracy of the system is not only determined by the core equipment, but also directly related to peripheral equipment such as antennas and feeders. Since the antenna feeder system is mainly installed on the iron tower at the high point of the area, it is exposed to the nature and is easily affected by factors such as temperature and humidity changes, strong winds, lightning strikes, etc., and the probability of failure is higher than that of core equipment. In addition, since most of them are passive devices, they cannot self-check and transmit device status. The existing system mainly relies on manual periodic inspection and on-site instrument testing to ensure its normal operation, which has a large workload and high cost, and cannot obtain real-time results. Another method is to add an antenna feeder tester into the system, as shown in Figure 2, by means of electronic switch switching, to obtain the parameters of the antenna feeder system in time to judge whether the state is abnormal. However, this method will introduce additional insertion loss and reduce system performance; at the same time, there will be additional investment, which is also a considerable cost when the number of sites is large.

To sum up, the current system self-inspection methods of radio monitoring stations cannot well solve the system self-inspection requirements and ensure timely and accurate feedback of the system status of radio monitoring stations. Therefore, the following solutions are proposed.

SUMMARY OF THE INVENTION

The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art, and to provide a method, device, processor and computer for realizing system self-checking for radio monitoring stations that meet the requirements of high accuracy, high utilization rate and wide application range. Readable storage medium.

In order to achieve the above object, the method, device, processor and computer-readable storage medium thereof for realizing system self-checking for a radio monitoring station of the present invention are as follows:

The main feature of the method for realizing system self-checking for a radio monitoring station is that the method includes the following steps:

(1) Query the transmitting stations around the monitoring station in the station database, screen the station signals, and record the transmitting parameters;

(2) Start the fixed frequency measurement function of the monitoring station, measure the selected stations in sequence, and record the measurement results;

(3) Store the measurement parameters and measurement results in the database as a self-check benchmark;

(4) Configure the self-test cycle and alarm conditions;

(5) Carry out the self-checking process.

Preferably, the step (1) specifically includes the following steps:

(1.1) Calculate and judge whether the station signal can be received by the monitoring station according to the receiving parameters of the monitoring station and the transmitting parameters of the station. If so, screen out the signal whose signal strength is 10dB to 70dB higher than the noise floor; otherwise, continue to screen station signal;

(1.2) Carry out the actual test on the selected station signals, and screen out the signals whose average value of the measured signal strength is 20dB to 60dB higher than the noise floor and the fluctuation range is not more than ±10dB;

(1.3) Sort station signals by frequency, and select multiple stations evenly within the range of the operating frequency of the radio monitoring system.

Preferably, the step (5) specifically includes the following steps:

(5.1) Read the self-checking benchmark data stored in the database, and select the same measurement parameters for testing;

(5.2) Compare the test results with the corresponding stored results to determine whether all of them exceed the alarm threshold. If so, the self-test is abnormal and an abnormal alarm is sent to the terminal; otherwise, the self-test is normal.

Preferably, the receiving parameters of the monitoring station in the step (1.1) include location, frequency and system sensitivity, and the transmitting parameters of the station include location, frequency and power.

Preferably, the measurement frequency of the step (2) is the transmission frequency of the station, the measurement bandwidth is a minimum bandwidth greater than 1.2 times the transmission bandwidth of the station, and the test duration is 1 hour.

Preferably, the self-checking period of the step (4) is set to be self-checking at startup or timing self-checking, and the alarm conditions include level difference, bandwidth difference and directionality difference.

The device for implementing system self-checking for a radio monitoring station is characterized in that the device includes:

a processor configured to execute computer-executable instructions;

The memory stores one or more computer-executable instructions, and when the computer-executable instructions are executed by the processor, each step of the above-mentioned method for implementing system self-checking for a radio monitoring station is implemented.

The main feature of the processor for implementing system self-checking for a radio monitoring station is that the processor is configured to execute computer-executable instructions, and when the computer-executable instructions are executed by the processor , to implement each step of the above-mentioned method for implementing system self-checking for a radio monitoring station.

The main feature of the computer-readable storage medium is that a computer program is stored thereon, and the computer program can be executed by a processor to implement each step of the above-mentioned method for implementing system self-checking for a radio monitoring station.

By adopting the method, device, processor and computer-readable storage medium of the present invention for realizing system self-inspection for a radio monitoring station, the self-inspection of the entire system is completed by screening, collecting, measuring and comparing external signal sources. . It not only ensures the integrity of the system function, but also guarantees the accuracy of the measurement results. Compared with the self-test method of the original system, it is simple and economical. Multiple independent reference sources are selected, and an "AND gate" is used to determine anomalies, which minimizes the instability of non-autonomous beacons and improves the reliability of the results. At present, the number of fixed radio monitoring stations in the country exceeds 3,000, and the fixed operation and maintenance expenses are a huge amount of money. Through the reliable and economical self-inspection method, the operation status of each site can be more accurately grasped, and the daily maintenance cost can be greatly reduced under the condition of ensuring the equipment utilization rate.

Description of drawings

FIG. 1 is a system block diagram of a typical radio monitoring station system in the prior art.

FIG. 2 is a system block diagram of a radio monitoring station system after the introduction of an antenna feeder test in the prior art.

FIG. 3 is a schematic diagram of a self-checking flow chart of a method for implementing system self-checking for a radio monitoring station according to the present invention.

Detailed ways

In order to describe the technical content of the present invention more clearly, further description will be given below with reference to specific embodiments.

Referring to Fig. 3, the method for realizing system self-checking for a radio monitoring station of the present invention includes the following steps:

(1) Query the transmitting stations around the monitoring station in the station database, screen the station signals, and record the transmitting parameters;

(2) Start the fixed frequency measurement function of the monitoring station, measure the selected stations in sequence, and record the measurement results;

(3) Store the measurement parameters and measurement results in the database as a self-check benchmark;

(4) Configure the self-test cycle and alarm conditions;

(5) Carry out the self-checking process.

Preferably, the step (1) specifically includes the following steps:

(1.1) Calculate and judge whether the station signal can be received by the monitoring station according to the receiving parameters of the monitoring station and the transmitting parameters of the station. If so, screen out the signal whose signal strength is 10dB to 70dB higher than the noise floor; otherwise, continue to screen station signal;

(1.2) Carry out the actual test on the selected station signals, and screen out the signals whose average value of the measured signal strength is 20dB to 60dB higher than the noise floor and the fluctuation range is not more than ±10dB;

(1.3) Sort station signals by frequency, and select multiple stations evenly within the range of the operating frequency of the radio monitoring system.

Preferably, the step (5) specifically includes the following steps:

(5.1) Read the self-checking benchmark data stored in the database, and select the same measurement parameters for testing;

(5.2) Compare the test results with the corresponding stored results to determine whether all of them exceed the alarm threshold. If so, the self-test is abnormal and an abnormal alarm is sent to the terminal; otherwise, the self-test is normal.

As a preferred embodiment of the present invention, the monitoring station receiving parameters in step (1.1) include location, frequency and system sensitivity, and the station transmitting parameters include location, frequency and power.

As a preferred embodiment of the present invention, the measurement frequency of the step (2) is the transmission frequency of the station, the measurement bandwidth is the minimum bandwidth greater than 1.2 times the transmission bandwidth of the station, and the test duration is 1 hour.

As a preferred embodiment of the present invention, the self-test cycle of the step (4) is set to be self-test at startup or timed self-test, and the alarm conditions include level difference, bandwidth difference and directionality difference.

The device of the present invention for implementing system self-checking for a radio monitoring station, wherein the device includes:

a processor configured to execute computer-executable instructions;

The memory stores one or more computer-executable instructions, and when the computer-executable instructions are executed by the processor, each step of the above-mentioned method for implementing system self-checking for a radio monitoring station is implemented.

The processor of the present invention for implementing system self-checking for a radio monitoring station, the processor of the present invention is configured to execute computer-executable instructions, and the computer-executable instructions are executed by the processor. At the time, each step of the above-mentioned method for realizing system self-checking for a radio monitoring station is implemented.

The computer-readable storage medium of the present invention stores a computer program therein, and the computer program can be executed by a processor to implement each step of the above-mentioned method for implementing system self-checking for a radio monitoring station.

In the specific embodiment of the present invention, a radio monitoring station self-checking method based on external signals is proposed, which does not require any changes to the system hardware, but only needs a simple software process change. By screening the known signals in the station library , measure, store and compare, complete the self-check of the whole system, and determine the working status of the system. The implementation steps are briefly described as follows:

1. Query the transmitting stations around the monitoring station in the station database, find multiple suitable stations, and record their transmission parameters. Appropriate method for determining the station:

(1) According to the receiving parameters of the monitoring station (position, frequency, system sensitivity, etc.) and the transmitting parameters of the station (position, frequency, power, etc.), the propagation model simulation method is used to calculate whether the signal of the station can be accurately received by the monitoring station, and screen The output signal strength is 10dB to 70dB higher than the noise floor.

(2) Use the monitoring system to actually test the selected station signals, and screen out the signals whose average value of the measured signal strength is 20dB to 60dB higher than the noise floor and the fluctuation range is not more than ±10dB.

(3) Sort the station signals that meet the requirements by frequency. Within the range of the working frequency of the radio monitoring system, select 5-10 stations as evenly as possible, and the mean signal strength is 40dB higher than the noise floor.

2. Start the fixed frequency measurement function of the monitoring station, and measure the selected stations one by one. The measurement frequency is the transmission frequency of the station, the measurement bandwidth is the minimum bandwidth greater than 1.2 times the transmission bandwidth of the station, and the test duration is 1 hour, and the measurement results are recorded. : Average signal level, bandwidth, and optimum direction angle (if there is a direction finding system).

3. After all station measurements are completed, the measurement parameters and measurement results are stored in the database as a self-checking benchmark.

4. Configure the self-check function, including the self-check cycle and alarm conditions.

(1) The self-test cycle can be set to start-up self-test, timed self-test (on time, day, week, month), which is automatically executed by the system program.

(2) Thresholds can be set for alarm conditions, including level difference, bandwidth difference and directional difference.

5. Self-checking process:

(1) When the self-test starts, read the benchmark data stored in the database, and use the same measurement parameters to perform the actual test.

(2) Compare the measured results with the corresponding stored results to determine whether the alarm threshold is exceeded.

(3) Repeat (1) (2) to complete the test of all selected station signals.

(4) If any one of the test results matches the database result, it is judged that the self-test is normal; if all the test results exceed the alarm threshold, it is judged that the self-test is abnormal, and an abnormal alarm is sent to the terminal.

For the specific implementation scheme of this embodiment, reference may be made to the relevant descriptions in the foregoing embodiments, which will not be repeated here.

It can be understood that, the same or similar parts in the above embodiments may refer to each other, and the content not described in detail in some embodiments may refer to the same or similar content in other embodiments.

It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for the purpose of description, and should not be construed as indicating or implying relative importance. Furthermore, in the description of the present invention, unless otherwise specified, the meaning of "plurality" means at least two.

Any description of a process or method in the flowcharts or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing a specified logical function or step of the process , and the scope of the preferred embodiments of the invention includes alternative implementations in which the functions may be performed out of the order shown or discussed, including performing the functions substantially concurrently or in the reverse order depending upon the functions involved, which should It is understood by those skilled in the art to which the embodiments of the present invention belong.

It should be understood that various parts of the present invention may be implemented in hardware, software, firmware or a combination thereof. In the above-described embodiments, various steps or methods may be implemented in software or firmware stored in memory and executed by suitable instruction execution means. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or a combination of the following techniques known in the art: Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, Programmable Gate Arrays (PGA), Field Programmable Gate Arrays (FPGA), etc.

Those skilled in the art can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing the relevant hardware through a program, and the corresponding program can be stored in a computer-readable storage medium, and the program can be executed when the program is executed. , including one or a combination of the steps of the method embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically alone, or two or more units may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware, and can also be implemented in the form of software function modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, and the like.

In the description of this specification, description with reference to the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples", etc., mean specific features described in connection with the embodiment or example , structure, material or feature is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

By adopting the method, device, processor and computer-readable storage medium of the present invention for realizing system self-inspection for a radio monitoring station, the self-inspection of the entire system is completed by screening, collecting, measuring and comparing external signal sources. . It not only ensures the integrity of the system function, but also guarantees the accuracy of the measurement results. Compared with the self-test method of the original system, it is simple and economical. Multiple independent reference sources are selected, and an "AND gate" is used to determine anomalies, which minimizes the instability of non-autonomous beacons and improves the reliability of the results. At present, the number of fixed radio monitoring stations in the country exceeds 3,000, and the fixed operation and maintenance expenses are a huge amount of money. Through the reliable and economical self-inspection method, the operation status of each site can be more accurately grasped, and the daily maintenance cost can be greatly reduced under the condition of ensuring the equipment utilization rate.

In this specification, the invention has been described with reference to specific embodiments thereof. However, it will be evident that various modifications and changes can still be made without departing from the spirit and scope of the invention. Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense.

Claims (9)

1. a method for realizing system self-checking for radio monitoring station, is characterized in that, described method comprises the following steps: (1) Query the transmitting stations around the monitoring station in the station database, screen the station signals, and record the transmitting parameters; (2) Start the fixed frequency measurement function of the monitoring station, measure the selected stations in sequence, and record the measurement results; (3) Store the measurement parameters and measurement results in the database as a self-check benchmark; (4) Configure the self-test cycle and alarm conditions; (5) Carry out the self-checking process. 2. the method for realizing system self-checking for radio monitoring station according to claim 1, is characterized in that, described step (1) specifically comprises the following steps: (1.1) Calculate and judge whether the station signal can be received by the monitoring station according to the receiving parameters of the monitoring station and the transmitting parameters of the station. If so, screen out the signal whose signal strength is 10dB to 70dB higher than the noise floor; otherwise, continue to screen station signal; (1.2) Carry out the actual test on the selected station signals, and screen out the signals whose average value of the measured signal strength is 20dB to 60dB higher than the noise floor and the fluctuation range is not more than ±10dB; (1.3) Sort station signals by frequency, and select multiple stations evenly within the range of the operating frequency of the radio monitoring system. 3. the method for realizing system self-checking for radio monitoring station according to claim 1, is characterized in that, described step (5) specifically comprises the following steps: (5.1) Read the self-checking benchmark data stored in the database, and select the same measurement parameters for testing; (5.2) Compare the test results with the corresponding stored results to determine whether all of them exceed the alarm threshold. If so, the self-test is abnormal and an abnormal alarm is sent to the terminal; otherwise, the self-test is normal. 4. The method for realizing system self-checking for a radio monitoring station according to claim 2, wherein the receiving parameters of the monitoring station in the step (1.1) include location, frequency and system sensitivity, and the station transmits Parameters include location, frequency and power. 5. the method for realizing system self-inspection for radio monitoring station according to claim 1, is characterized in that, the measurement frequency of described step (2) is station transmission frequency, and measurement bandwidth is greater than 1.2 of station transmission bandwidth times the minimum bandwidth, and the test duration is 1 hour. 6. The method for realizing system self-checking for a radio monitoring station according to claim 1, wherein the self-checking cycle of the step (4) is set to be self-checking at startup or timing self-checking, and the alarm conditions include electrical Adjustment value, bandwidth difference value and azimuth difference value. 7. A device for implementing system self-checking for a radio monitoring station, characterized in that the device comprises: a processor configured to execute computer-executable instructions; The memory stores one or more computer-executable instructions, and when the computer-executable instructions are executed by the processor, the system self-test for the radio monitoring station according to any one of claims 1 to 6 is realized. the various steps of the method. 8. A processor for implementing system self-checking for a radio monitoring station, wherein the processor is configured to execute computer-executable instructions, the computer-executable instructions being executed by the processor When executed, each step of the method for implementing system self-checking for a radio monitoring station according to any one of claims 1 to 6 is implemented. 9. A computer-readable storage medium, characterized in that a computer program is stored thereon, and the computer program can be executed by a processor to realize the implementation for a radio monitoring station according to any one of claims 1 to 6 The various steps of the system self-test method.

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