Work parameter verification method, device, system, equipment, storage medium and product

Abstract

The invention discloses a work parameter verification method, device and system, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: obtaining work parameter data of each level to which at least one target cell belongs; dividing all the work parameter data to obtain a region parameter set, a basic information parameter set and a radio frequency configuration parameter set; and verifying parameters in the regional parameter set, the basic information parameter set and the radio frequency configuration parameter set to obtain a verification result. According to the method, the work parameter data can be automatically verified, human errors are prevented from being introduced, and therefore the work parameter verification efficiency and accuracy are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to an industrial parameter calibration method, device, system, electronic equipment, computer-readable storage medium and computer program product. Background Art

[0002] As the scale of wireless networks continues to expand, the amount of industrial parameter data that operators need to manage and monitor has reached tens of millions. These industrial parameter data usually cover multiple aspects, such as base station location, antenna parameters, frequency band configuration and power settings, and play a key role in the coverage, capacity and overall performance of the network. For example, the location of the base station determines the range and effect of signal coverage. A reasonable base station layout can effectively reduce coverage blind spots and improve the signal reception quality of users; antenna parameters, such as antenna type, height, azimuth and downtilt angle, directly affect the propagation characteristics and coverage of wireless signals. Therefore, the management and verification of industrial parameters is one of the core tasks to ensure the quality of wireless networks and user experience.

[0003] The existing engineering parameter verification method mainly relies on the experience of human experts to conduct full verification of the engineering parameter data in the entire network, cell by cell and field by field. However, the manual verification process is not only time-consuming, but also prone to human errors, thereby reducing the accuracy and efficiency of the verification. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide an industrial parameter verification method, device, system, electronic device, computer-readable storage medium and computer program product, which can automatically verify industrial parameter data and avoid introducing human errors, thereby significantly improving the efficiency and accuracy of verification.

[0005] The first embodiment of the present invention provides a method for verifying working parameters, including:

[0006] Obtaining engineering parameter data of each level to which at least one target cell belongs;

[0007] Dividing all the engineering parameter data to obtain a regional parameter set, a basic information parameter set and a radio frequency configuration parameter set;

[0008] Verify the parameters in the area parameter set, the basic information parameter set, and the radio frequency configuration parameter set to obtain a verification result.

[0009] Optionally, after obtaining the verification result, the method further includes:

[0010] According to the verification result, a corresponding early warning mode is selected and executed.

[0011] Optionally, the verifying parameters in the area parameter set, the basic information parameter set, and the radio frequency configuration parameter set includes:

[0012] Verifying the regional parameter set;

[0013] When all parameters in the regional parameter set are verified, verifying the basic information parameter set;

[0014] When all parameters in the basic information parameter set pass verification, the radio frequency configuration parameter set is verified.

[0015] Optionally, the verifying the regional parameter set includes:

[0016] When the name of each parameter in the regional parameter set complies with the preset naming rule, and the affiliation relationship between each parameter satisfies the preset affiliation rule, it is determined that the regional parameter set verification passes.

[0017] Optionally, the basic information parameter set includes: at least one of a static attribute parameter subset, a dynamic latitude and longitude parameter subset, and an associated attribute parameter subset.

[0018] Further, when the basic information parameter set includes the static attribute parameter subset, the verifying the basic information parameter set includes:

[0019] When each parameter in the static attribute parameter subset does not change dynamically, it is determined that the static attribute parameter subset verification passes.

[0020] Further, when the basic information parameter set includes the dynamic longitude and latitude parameter subset, the dynamic longitude and latitude parameter subset includes longitude and latitude corresponding to the level; wherein the level includes a site, a base station, a sky surface, and a cell; and verifying the basic information parameter set includes:

[0021] When the longitude and latitude of the station are within the corresponding preset area, based on the historical record data and current record data corresponding to each parameter in the dynamic longitude and latitude parameter subset, the historical offset time series and the current actual offset corresponding to the level are calculated respectively;

[0022] Input each of the historical offset time series into a corresponding time series analysis model to obtain a corresponding offset prediction value;

[0023] When the difference between each of the predicted offset values ​​and the corresponding current actual offset does not exceed a first preset threshold, it is determined that the dynamic latitude and longitude parameter subset verification has passed.

[0024] Further, when the basic information parameter set includes the associated attribute parameter subset, the associated attribute parameter subset includes a cell global identifier and a base station identifier; the verifying the basic information parameter set includes:

[0025] When the cell global identity conforms to the representation format of the designated network and the base station identity field in the cell global identity is consistent with the base station identity, it is determined that the associated attribute parameter subset verification has passed.

[0026] Optionally, the RF configuration parameter set includes: at least one of an antenna geometry parameter subset, a static network parameter subset, and an associated configuration parameter subset.

[0027] Further, when the radio frequency configuration parameter set includes the static network parameter subset, the verifying the radio frequency configuration parameter set includes:

[0028] When each parameter in the static network parameter subset does not change dynamically, it is determined that the static network parameter subset verification passes.

[0029] Further, when the radio frequency configuration parameter set includes the antenna geometry parameter subset, the verifying the radio frequency configuration parameter set includes:

[0030] Inputting the historical geometric time series corresponding to each parameter in the antenna geometric parameter subset into the corresponding time series analysis model to obtain the corresponding geometric prediction value;

[0031] When the difference between each of the geometric prediction values ​​and the corresponding actual measurement value does not exceed a second preset threshold, it is determined that the antenna geometric parameter subset verification has passed.

[0032] Further, when the radio frequency configuration parameter set includes the associated configuration parameter subset, the associated configuration parameter subset includes a network standard, a frequency band, and a center frequency interval; the verifying the radio frequency configuration parameter set includes:

[0033] Based on the network standard, determining an available frequency band;

[0034] When the frequency band belongs to the available frequency band, determining that the frequency band check passes;

[0035] When the frequency band check passes, determining an available center frequency interval based on the network standard and the frequency band;

[0036] When the center frequency interval is included in the available center frequency interval, it is determined that the associated configuration parameter subset check passes.

[0037] A second aspect of the present invention provides an industrial parameter calibration device, comprising:

[0038] A data acquisition module, used to acquire the engineering parameter data of each level to which at least one target cell belongs;

[0039] A data partitioning module, used to partition all the engineering parameter data to obtain an area parameter set, a basic information parameter set and a radio frequency configuration parameter set;

[0040] The verification module is used to verify the parameters in the area parameter set, the basic information parameter set and the radio frequency configuration parameter set to obtain a verification result.

[0041] A third aspect of the present invention provides an industrial parameter calibration system, including:

[0042] The front-end user interface layer is used to provide users with warning information display and interactive operations;

[0043] A business layer, used for processing business logic; the business layer includes an industrial parameter data entry module, a compliance verification module and a graded warning module, wherein the compliance verification module is the industrial parameter verification device described in the above-mentioned second aspect embodiment;

[0044] The data layer is used to provide data support for the compliance verification module;

[0045] The basic service layer is used to manage and transmit the engineering parameter data that fails the verification in the compliance verification module;

[0046] The operating environment layer is used to provide support for the hardware environment and software environment.

[0047] An embodiment of the fourth aspect of the present invention provides a computer-readable storage medium, which includes a stored computer program; wherein, when the computer program is running, it controls the device where the computer-readable storage medium is located to execute the industrial parameter verification method described in any embodiment of the first aspect above.

[0048] An embodiment of the fifth aspect of the present invention provides a computer program product, including a computer program, which, when executed by a processor, implements the industrial parameter verification method described in any embodiment of the first aspect.

[0049] An embodiment of the sixth aspect of the present invention provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the industrial parameter verification method described in any embodiment of the first aspect when executing the computer program.

[0050] Compared with the prior art, the embodiments of the present invention provide an industrial parameter verification method, device, system, electronic device, computer-readable storage medium and computer program product. The method effectively avoids the introduction of human errors by automatically verifying the industrial parameter data, thereby significantly improving the efficiency and accuracy of industrial parameter verification.

[0051] In addition, the embodiment of the present invention is different from the traditional method of isolated verification of a single parameter of the industrial parameter. By exploring the potential correlation between the parameters, on the one hand, a hierarchical verification strategy is adopted to give priority to the parameters that have a greater impact on the subsequent industrial parameter verification, that is, the regional parameter set, the basic information parameter set and the radio frequency configuration parameter set are verified in turn, which can shorten the verification time and improve the verification efficiency; on the other hand, the joint verification of parameters with inherent correlation, such as network standards, frequency bands and center frequencies, can further improve the accuracy and comprehensiveness of the industrial parameter verification process. In addition, the embodiment of the present invention can automatically verify the parameters with time series through the analysis and modeling of historical data without relying on the experience of manual experts, which significantly improves the objectivity and consistency of industrial parameter verification. Similarly, the industrial parameter verification system provided by the embodiment of the present invention can automatically detect non-compliant industrial parameter data and problem classification types, and issue corresponding early warning notifications in a timely manner. This not only reduces labor costs and reduces the risk of human errors, but also significantly improves verification efficiency and response speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a flow chart of an embodiment of the process parameter calibration method provided by the present invention;

[0053] Figure 2 It is a flow chart of another embodiment of the process parameter calibration method provided by the present invention;

[0054] Figure 3 It is a flow chart of another embodiment of the process parameter calibration method provided by the present invention;

[0055] Figure 4 It is a structural schematic diagram of an embodiment of the working parameter calibration device provided by the present invention;

[0056] Figure 5 It is a structural schematic diagram of an embodiment of the industrial parameter calibration system provided by the present invention;

[0057] Figure 6 It is a structural schematic diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this technical field without creative work are within the scope of protection of the present invention.

[0059] See also Figure 1 , is a flow chart of an embodiment of the industrial parameter calibration method provided by the present invention.

[0060] The first aspect of the present invention provides a method for verifying working parameters, including steps S1 to S3, which are as follows:

[0061] Step S1: Obtaining engineering parameter data of each level of at least one target cell;

[0062] Step S2: Divide all the engineering parameter data to obtain a regional parameter set, a basic information parameter set and a radio frequency configuration parameter set;

[0063] Step S3: verify the parameters in the area parameter set, the basic information parameter set and the radio frequency configuration parameter set to obtain a verification result.

[0064] Specifically, the embodiment of the present invention can perform engineering parameter verification on a designated target cell or several target cells in the entire wireless network. First, the engineering parameter data of each level (such as site, base station, antenna and cell) to which the target cell belongs is obtained from the engineering parameters of the entire network stored in the relational database PostgreSQL; then, all engineering parameter data are divided into regional parameter sets, basic information parameter sets and radio frequency configuration parameter sets according to different categories, which are used to verify each parameter in these three parameter sets in the subsequent step S3. The embodiment of the present invention can automatically complete the verification of the engineering parameter data, and no manual verification is required, thereby avoiding the introduction of human errors and significantly improving the efficiency and accuracy of engineering parameter verification.

[0065] In order to clearly describe the technical solution in the embodiment of the present invention, specific examples corresponding to the area parameter set, the basic information parameter set and the radio frequency configuration parameter set are provided below:

[0066] The regional parameter set includes: the name of the province, city, county, and township corresponding to the site where the target cell is located (i.e., the Chinese name and the English abbreviation name);

[0067] The basic information parameter set includes at least one or more of the following parameters: site number, base station name, base station type, base station status, cell name, cell grid number, machine room name, machine room number, machine room longitude and latitude, antenna name, antenna number, equipment manufacturer, main equipment software version number, transmission equipment, site longitude and latitude, base station longitude and latitude, cell longitude and latitude, antenna longitude and latitude, cell global identity (CGI) and base station identity (ENODEB_ID);

[0068] The RF configuration parameter set includes at least one or more of the following parameters: antenna height, azimuth, total pitch angle, mechanical downtilt angle, electronic downtilt angle, Tracking Area Code (TAC), Physical Cell Identity (PCI), number of channels, networking mode, bandwidth, 3D-MIMO switch status, number of remote RF units, downlink transmission filtering parameters, network standard, frequency band and center frequency interval.

[0069] See also Figure 2 , is a flow chart of another embodiment of the industrial parameter calibration method provided by the present invention.

[0070] In an optional embodiment, after obtaining the verification result, the method further includes:

[0071] Step S4: According to the verification result, a corresponding early warning mode is selected and executed.

[0072] It should be noted that when there are non-compliant parameters in the regional parameter set, the non-compliant parameters are defined as Class A problem parameters, and the first-level warning mode is selected for the highest priority processing; when there are non-compliant parameters in the basic information parameter set, the non-compliant parameters are defined as Class B problem parameters, and the second-level warning mode is selected for ordinary priority processing; when there are non-compliant parameters in the radio frequency configuration parameter set, the non-compliant parameters are defined as Class C problem parameters, and the third-level warning mode is selected for the lowest priority processing, such as Figure 3 After the corresponding warning mode is activated, the warning information is transmitted to the front-end user interface, through which the staff can obtain specific warning information in an interactive manner; in addition, the warning information can also be directly sent to the staff via SMS.

[0073] It is worth noting that there are two verification methods in the above step S3, one is to verify the area parameter set, the basic information parameter set and the radio frequency configuration parameter set at the same time, and the other is to verify these three sets in sequence.

[0074] In the first implementation, the three sets of regional parameter set, basic information parameter set and radio frequency configuration parameter set are verified at the same time. If it is found that there are non-compliant parameters in the regional parameter set, the non-compliant parameters are defined as Class A problem parameters; if it is found that there are non-compliant parameters in the basic information parameter set, the non-compliant parameters are defined as Class B problem parameters; if it is found that there are non-compliant parameters in the radio frequency configuration parameter set, the non-compliant parameters are defined as Class C problem parameters. When Class A, Class B and Class C problem parameters appear in a target cell at the same time, Class A problem parameters are processed first, and the working parameters are updated to confirm whether there are Class B and Class C problem parameters; if so, Class B problem parameters are further processed, and the working parameters are updated to confirm whether there are Class C problem parameters, and so on.

[0075] In a second implementation, the three sets of regional parameter set, basic information parameter set and radio frequency configuration parameter set are verified in sequence. In step S3, the verification of the parameters in the regional parameter set, the basic information parameter set and the radio frequency configuration parameter set includes:

[0076] S31: verifying the regional parameter set;

[0077] S32: When all parameters in the regional parameter set are verified, verify the basic information parameter set;

[0078] S33: When all parameters in the basic information parameter set pass verification, verify the radio frequency configuration parameter set.

[0079] It should be noted that the traditional manual verification method often requires all parameters to be verified at once when verifying the engineering parameter data corresponding to the target cell, which is not only time-consuming but also prone to errors. However, the embodiment of the present invention adopts a hierarchical verification strategy, that is, giving priority to parameters that have a greater impact on subsequent engineering parameter verification; in other words, each parameter in the regional parameter set, basic information parameter set and radio frequency configuration parameter set is verified in turn, such as Figure 2 This helps to shorten the verification time and improve the verification efficiency, reduce the propagation and accumulation of errors, ensure that there is correct and reliable basic data support in each verification step, and ultimately effectively improve the accuracy and efficiency of the entire verification process.

[0080] Specifically, the highest priority for checking the regional parameter set is to ensure that the basic geographic and administrative information is correct, so as to clarify the approximate location of the site in the network and the applicable standards, laying the foundation for the subsequent verification of the engineering parameter data. The second priority for checking the basic information parameter set is to clarify the identity information at each level to ensure the rationality and correctness of the RF configuration parameters. For example, if the site number is wrong, then all the RF configuration parameters under that number will lose their meaning.

[0081] In an optional embodiment, the verifying the regional parameter set includes:

[0082] When the name of each parameter in the regional parameter set complies with the preset naming rule, and the affiliation relationship between each parameter satisfies the preset affiliation rule, it is determined that the regional parameter set verification passes.

[0083] It should be noted that the regional parameter set includes the names of the province, city, county, and township corresponding to the site where the target cell is located (i.e., the Chinese name and the English abbreviation name). In the embodiment of the present invention, firstly, the name of each parameter in the regional parameter set is verified according to the administrative division standard and the field ending rule (such as the province field standard uniformly ends with "province" or "city"); then, according to the regional affiliation relationship given by the administrative division, the affiliation relationship between each parameter is verified. When both of these checks are passed, it can be determined that the regional parameter set verification has passed.

[0084] In an optional embodiment, the basic information parameter set includes: at least one of a static attribute parameter subset, a dynamic latitude and longitude parameter subset, and an associated attribute parameter subset.

[0085] It is worth noting that the static attribute parameter subset includes: site number, base station name, base station type, base station status, cell name, cell grid number, computer room name, computer room number, computer room longitude and latitude, antenna name, antenna number, equipment manufacturer, main equipment software version number and transmission equipment; the dynamic longitude and latitude parameter subset includes: site longitude and latitude, base station longitude and latitude, cell longitude and longitude and antenna longitude and longitude; the associated attribute parameter subset includes: cell global identifier and base station identifier.

[0086] In an optional embodiment, when the basic information parameter set includes the static attribute parameter subset, the verifying the basic information parameter set includes:

[0087] When each parameter in the static attribute parameter subset does not change dynamically, it is determined that the static attribute parameter subset verification passes.

[0088] It should be noted that each parameter in the static attribute parameter subset is usually fixed. Therefore, if any of the parameters changes, the parameter will be identified as a Class B problem parameter and a Class II warning notification will be issued for confirmation and correction.

[0089] In an optional embodiment, when the basic information parameter set includes the dynamic longitude and latitude parameter subset, the dynamic longitude and latitude parameter subset includes longitude and latitude corresponding to the level; wherein the level includes a site, a base station, a sky surface, and a cell; and the verifying the basic information parameter set includes:

[0090] When the longitude and latitude of the station are within the corresponding preset area, based on the historical record data and current record data corresponding to each parameter in the dynamic longitude and latitude parameter subset, the historical offset time series and the current actual offset corresponding to the level are calculated respectively;

[0091] Input each of the historical offset time series into a corresponding time series analysis model to obtain a corresponding offset prediction value;

[0092] When the difference between each of the predicted offset values ​​and the corresponding current actual offset does not exceed a first preset threshold, it is determined that the dynamic latitude and longitude parameter subset verification has passed.

[0093] Specifically, the spatial information service function extension plug-in PostGIS is installed in PostgreSQL, a relational database for storing industrial parameters of the entire network; the PostGIS plug-in provides a wealth of geographic spatial processing functions, such as the ST_Contains function and the ST_Distance function.

[0094] First, the ST_Contains function is used to determine whether the location point of the station's longitude and latitude falls within the corresponding township area; if so, t(true) is returned, otherwise f(false) is returned to achieve a preliminary check of the station's geographical location and confirm whether it is within the corresponding preset area; the township area is provided by the national administrative division boundary data. Next, the ST_Distance function is used to return the distance between two geometric or geographical values, that is, the ST_Distance function is used to calculate the longitude and latitude interval distance (i.e., the position offset between adjacent time points) of the station, base station, antenna surface, and cell corresponding to the historical period (week, month) and the current recorded data, and obtain the historical offset time series and current actual offset corresponding to each level. Then, each historical offset time series is input into the corresponding time series analysis model, thereby obtaining the respective offset prediction value. Finally, by comparing the difference between each offset prediction value and the current actual offset, it is confirmed whether the change of longitude and latitude of each layer is within the allowable range of change to determine whether the dynamic longitude and latitude parameter subset has passed the verification.

[0095] Traditional manual verification methods are often subjective and unstable, and it is difficult to process a large amount of historical data. The embodiments of the present invention make full use of historical data and verify the timing parameters through a time series analysis model, thereby realizing data-driven automatic verification. This not only reduces the reliance on manual experience, but also significantly improves the objectivity and consistency of the verification of the parameters.

[0096] It is worth noting that the time series analysis model in the embodiment of the present invention can be an AutoRegressive Integrated Moving Average (ARIMA) model. The ARIMA model considers that a time series data point consists of two main parts: (1) Trend part: This is caused by the persistence and inertia of past observations and represents the long-term trend of the data. This part reflects the historical dependence of the data, that is, the current value will be affected by the combined influence of a series of previous values. (2) Fluctuation part: This is a short-term fluctuation caused by the influence of random or accidental factors. These factors may include unexpected events or noise, which are not systematic but will affect the value of the data point in the short term. In addition, the ARIMA model allows for unstable trends in the data, that is, the large trend itself can change over time. Therefore, the ARIMA model can not only capture the historical dependence and short-term fluctuations of the data, but also adapt to non-stationary time series, which makes it very useful in many practical applications, such as the verification of changes in the relocation location of base stations. In short, the ARIMA model performs time series prediction by combining the trend of historical data and short-term random fluctuations, especially when dealing with data with non-stationary characteristics. The ARIMA model prediction formula is as follows:

[0097]

[0098] in, is the observed value at time t; μ is a constant term; y t-i is the measured value at time (ti); ε t is the noise (error) term at time t, ε t-j is the noise (error) term at time (tj); α i is the i-th autoregressive coefficient to be estimated; β j is the j-th moving average coefficient to be estimated; p and q are orders, and p≥1, q≥1.

[0099] In an optional embodiment, when the basic information parameter set includes the associated attribute parameter subset, the associated attribute parameter subset includes a cell global identifier and a base station identifier; and verifying the basic information parameter set includes:

[0100] When the cell global identity conforms to the representation format of the designated network and the base station identity field in the cell global identity is consistent with the base station identity, it is determined that the associated attribute parameter subset verification has passed.

[0101] It should be noted that there are generally two types of CGI formats, as shown below:

[0102] (1) CGI = MCC + MNC + LAC + CI;

[0103] (2)CGI=MCC+MNC+ENODEB_ID+CID;

[0104] Among them, CGI is the cell global identifier; MCC is the mobile country code, such as 460 for China; MNC is the mobile network number; LAC is the location area number; CI is the cell identification code; ENODEB_ID is the base station identifier (or LTE base station identifier); CID is the base station number.

[0105] When the CGI format is the representation format corresponding to the LTE network, that is, the above formula (2), it is determined whether the ENODEB_ID field in the CGI format is consistent with the base station identifier actually recorded; if they are consistent, it is determined that the associated attribute parameter subset verification has passed; if they are inconsistent (such as one of the fields is missing, one field is added, or a field is incorrect), the verification fails.

[0106] It is worth noting that when the basic information parameter set includes a static attribute parameter subset, a dynamic latitude and longitude parameter subset, and an associated attribute parameter subset, the basic information parameter set can be determined to have passed verification only after all three subsets have passed verification.

[0107] In an optional embodiment, the radio frequency configuration parameter set includes: at least one of an antenna geometry parameter subset, a static network parameter subset, and an associated configuration parameter subset.

[0108] It is worth mentioning that the antenna geometry parameter subset includes: hanging height, azimuth angle, total pitch angle, mechanical downtilt angle and electronic downtilt angle; the static network parameter subset includes: TAC, PCI, number of channels, networking mode, bandwidth, 3D-MIMO switch status, number of remote radio frequency units and downlink transmission filtering parameters; the associated configuration parameter subset includes: network standard, frequency band and center frequency range.

[0109] In an optional embodiment, when the radio frequency configuration parameter set includes the static network parameter subset, the verifying the radio frequency configuration parameter set includes:

[0110] When each parameter in the static network parameter subset does not change dynamically, it is determined that the static network parameter subset verification passes.

[0111] It should be noted that each parameter in the static network parameter subset is usually fixed. Therefore, if any of the parameters changes, the parameter will be identified as a Class C problem parameter and a Class 3 warning notification will be issued for confirmation and correction.

[0112] In an optional embodiment, when the radio frequency configuration parameter set includes the antenna geometry parameter subset, the verifying the radio frequency configuration parameter set includes:

[0113] Inputting the historical geometric time series corresponding to each parameter in the antenna geometric parameter subset into the corresponding time series analysis model to obtain the corresponding geometric prediction value;

[0114] When the difference between each of the geometric prediction values ​​and the corresponding actual measurement value does not exceed a second preset threshold, it is determined that the antenna geometric parameter subset verification has passed.

[0115] It should be noted that the antenna geometry parameter subset includes: hanging height, azimuth angle, total pitch angle, mechanical downtilt angle and electronic downtilt angle. In specific implementation, each historical geometry time series is first input into the corresponding time series analysis model to obtain the respective geometry prediction values. Then, by comparing the difference between each geometry prediction value and the current actual measurement value, it is confirmed whether the change of each geometry parameter is within the allowable range of change to determine whether the antenna geometry parameter subset has passed the verification.

[0116] In an optional embodiment, when the radio frequency configuration parameter set includes the associated configuration parameter subset, the associated configuration parameter subset includes a network standard, a frequency band, and a center frequency interval; and the verifying the radio frequency configuration parameter set includes:

[0117] Based on the network standard, determining an available frequency band;

[0118] When the frequency band belongs to the available frequency band, determining that the frequency band check passes;

[0119] When the frequency band check passes, determining an available center frequency interval based on the network standard and the frequency band;

[0120] When the center frequency interval is included in the available center frequency interval, it is determined that the associated configuration parameter subset check passes.

[0121] In order to more clearly describe the technical solution provided by the embodiment of the present invention, some examples of associated configuration parameter subsets are provided below, as shown in Table 1. In Table 1, TDD-LTE is time division duplex long term evolution, FDD-LTE is frequency division duplex long term evolution, FDD900 is frequency division duplex 900MHz, and FDD1800 is frequency division duplex 1800MHz.

[0122] Table 1 Example table of associated configuration parameter subsets

[0123]

[0124] In the specific implementation, firstly, based on the network standard, all available frequency bands under the network standard are determined; for example, under the TDD-LTE network standard in Table 1, the available frequency bands include A, F, E and D. Then, determine whether the frequency bands in the associated configuration parameter subset belong to the above-mentioned available frequency bands; if so, the frequency band parameters pass the preliminary verification, otherwise, the frequency band parameters are identified as Class C problem parameters. Finally, when the frequency band parameters pass the preliminary verification, the available center frequency point interval is further determined based on the network standard and the frequency band parameters; if the center frequency point interval in the associated configuration parameter subset is included in the above-mentioned available center frequency point interval, it is determined that the associated configuration parameter subset verification passes.

[0125] It is worth noting that when the RF configuration parameter set includes an antenna geometry parameter subset, a static network parameter subset and an associated configuration parameter subset, the RF configuration parameter set verification can be determined to have passed only after all three subsets have passed verification.

[0126] It is worth noting that the traditional manual verification method usually verifies each parameter independently, which will not be able to capture the correlation between parameters and easily miss complex interactive errors. The industrial parameter verification method provided by the embodiment of the present invention can shorten the verification time and improve the verification efficiency by exploring the potential correlation between the parameters, that is, on the one hand, adopting a hierarchical verification strategy to give priority to processing parameters that have a greater impact on subsequent industrial parameter verification. For example, the location of the site will affect the location of the base station, and the location of the base station will affect the direction and angle of the antenna; on the other hand, jointly verifying parameters with inherent correlations, such as network standards, frequency bands, and center frequencies, can identify complex errors that are difficult to find when verifying alone, thereby improving the accuracy and comprehensiveness of the verification.

[0127] See also Figure 4 , is a structural schematic diagram of an embodiment of the industrial parameter calibration device provided by the present invention.

[0128] The second aspect of the present invention provides an industrial parameter calibration device, which is used to implement the industrial parameter calibration method described in any embodiment of the first aspect, and the device includes:

[0129] The data acquisition module 11 is used to acquire the engineering parameter data of each layer to which at least one target cell belongs;

[0130] A data partitioning module 12 is used to partition all the engineering parameter data to obtain an area parameter set, a basic information parameter set and a radio frequency configuration parameter set;

[0131] The verification module 13 is used to verify the parameters in the area parameter set, the basic information parameter set and the radio frequency configuration parameter set to obtain a verification result.

[0132] It should be noted that the industrial parameter verification device provided in the second aspect of the present invention can implement all the processes of the industrial parameter verification method described in the first aspect of the present invention. The functions of each module in the device and the technical effects achieved are respectively the same as the functions and technical effects achieved by the industrial parameter verification method described in the first aspect of the present invention, and will not be repeated here.

[0133] See also Figure 5 , is a structural diagram of an embodiment of the industrial parameter calibration system provided by the present invention.

[0134] A third aspect of the present invention provides an industrial parameter calibration system, including:

[0135] The front-end user interface layer is used to provide users with warning information display and interactive operations;

[0136] A business layer, used for processing business logic; the business layer includes an industrial parameter data entry module, a compliance verification module and a graded warning module, wherein the compliance verification module is the industrial parameter verification device described in the above-mentioned second aspect embodiment;

[0137] The data layer is used to provide data support for the compliance verification module;

[0138] The basic service layer is used to manage and transmit the engineering parameter data that fails the verification in the compliance verification module;

[0139] The operating environment layer is used to provide support for the hardware environment and software environment.

[0140] It should be noted that in the industrial parameter verification system, the industrial parameter data entry module is responsible for automatically entering the industrial parameter file data (such as CSV files) classified by time into the PostgreSQL database; wherein PostgreSQL is installed with the spatial information service function extension plug-in PostGIS; specifically, the module will first perform format verification and preprocessing on the CSV file to ensure the consistency and integrity of the data. Then, the preprocessed data will be imported into the PostgreSQL database according to the time series to provide a reliable data basis for subsequent verification and analysis. The compliance verification module performs detailed verification of the 4G and 5G industrial parameter tables based on the industrial parameter verification device described in the above-mentioned second aspect embodiment. During the verification process, for industrial parameter data with problems, the system will mark it and enter it into the message queue RabbitMQ. For industrial parameter data without problems, the system will enter it into the data set so that it can be trained and predicted using a time series analysis model (such as an ARIMA model) later. The graded warning module is responsible for notifying the user of the warning of the problematic industrial parameter data obtained from the message queue RabbitMQ through the front-end user interface (UserInterface, UI) or SMS. Warning information will be graded according to the severity of the problem. Class A problems will be marked as high priority and need to be dealt with immediately, while Class B and Class C problems will be marked as medium and low priority and can be resolved within a certain period of time. Users can view detailed warning information through the system front-end interface, including problem description, data details and recommended solutions. In addition, the system also supports SMS warning function to ensure that users can receive important notifications in time even when they are not online.

[0141] exist Figure 5In the system, the front-end UI is used to provide a user interaction interface, display warning information and allow users to operate. It is built by a technology stack consisting of HTML5, Vue.js and Nginx. Among them, the markup language HTML5 is used to build the general framework and structure of the page; the progressive JavaScript framework Vue.js is used to build the user interface and single-page application, which has data-driven views and componentized features; Nginx is used as a static resource server and reverse proxy server to process front-end requests. The business layer is used to process business logic, including the industrial parameter data entry module, the compliance verification module and the graded warning module; among them, the industrial parameter data entry module is responsible for the input and preliminary verification of the industrial parameter data; the compliance verification module is used to perform compliance verification on the input industrial parameter data; the graded warning module is used to perform graded warning on non-compliant data according to the verification results. The data layer is used to provide data support for the compliance verification module, including: transaction control, data mapping and cache; among them, transaction control is used to ensure that the data is consistent and complete during storage and operation; data mapping is used to map the data structure of the business layer to the table structure of the database; cache is used to reduce the database read and write pressure and improve system performance. The basic service layer can provide underlying service support, including: PostgreSQL, PostGIS and RabbitMQ; among them, the relational database PostgreSQL is used to store and manage application data; the geographic information extension plug-in PostGIS is used to process spatial data; the message queue RabbitMQ is used for information transmission and task allocation between modules to ensure the timely transmission of verification results and warning information. The operating environment is provided by the BCLinux operating system to provide reliable and stable environment support.

[0142] It is worth noting that the industrial parameter verification system can automatically detect non-compliant industrial parameter data and problem classification types, and issue corresponding early warning notifications in a timely manner, that is, it can send corresponding early warning interface messages or early warning text messages to users according to the severity of the problem. This friendly and efficient notification mechanism ensures that users can be informed of existing problematic industrial parameters in a timely manner and take corresponding measures. The embodiments of the present invention not only reduce labor costs and reduce the risk of human errors, but also significantly improve verification efficiency, response speed and user experience.

[0143] An embodiment of the fourth aspect of the present invention provides a computer-readable storage medium, which includes a stored computer program; wherein, when the computer program is running, it controls the device where the computer-readable storage medium is located to execute the industrial parameter verification method described in any embodiment of the first aspect above.

[0144] An embodiment of the fifth aspect of the present invention provides a computer program product, including a computer program, which, when executed by a processor, implements the industrial parameter verification method described in any embodiment of the first aspect.

[0145] See also Figure 6 , is a structural diagram of an embodiment of an electronic device provided by the present invention.

[0146] An embodiment of the sixth aspect of the present invention provides an electronic device, comprising a processor 21, a memory 22, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the industrial parameter verification method described in any embodiment of the first aspect when executing the computer program.

[0147] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, ...), and the one or more modules / units are stored in the memory 22 and executed by the processor 21 to complete the present invention. The one or more modules / units can be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program in the electronic device.

[0148] The processor 21 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, or the processor 21 can also be any conventional processor. The processor 21 is the control center of the electronic device, and various parts of the electronic device are connected using various interfaces and lines.

[0149] The memory 22 mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function, etc., and the data storage area can store related data, etc. In addition, the memory 22 can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, and a flash card (Flash Card), etc., or the memory 22 can also be other volatile solid-state storage devices.

[0150] It should be noted that the above electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that Figure 6 The structural diagram shown is only a structural example of the above-mentioned electronic device, and does not constitute a structural limitation of the above-mentioned electronic device. The above-mentioned electronic device may include more or less components than shown in the figure, or a combination of certain components, or different components.

[0151] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for verifying working parameters, characterized in that: include: Obtaining engineering parameter data of each level to which at least one target cell belongs; Dividing all the engineering parameter data to obtain a regional parameter set, a basic information parameter set and a radio frequency configuration parameter set; Verify the parameters in the area parameter set, the basic information parameter set, and the radio frequency configuration parameter set to obtain a verification result.

2. The process parameter calibration method according to claim 1, characterized in that: After obtaining the verification result, the method further includes: According to the verification result, a corresponding early warning mode is selected and executed.

3. The process parameter calibration method according to claim 1, characterized in that: The verifying the parameters in the area parameter set, the basic information parameter set, and the radio frequency configuration parameter set includes: Verifying the regional parameter set; When all parameters in the regional parameter set are verified, verifying the basic information parameter set; When all parameters in the basic information parameter set pass verification, the radio frequency configuration parameter set is verified.

4. The process parameter calibration method according to claim 1 or 3, characterized in that: The verifying the regional parameter set includes: When the name of each parameter in the regional parameter set complies with the preset naming rule, and the affiliation relationship between each parameter satisfies the preset affiliation rule, it is determined that the regional parameter set verification passes.

5. The process parameter calibration method according to claim 1 or 3, characterized in that: The basic information parameter set includes: at least one of a static attribute parameter subset, a dynamic latitude and longitude parameter subset, and an associated attribute parameter subset.

6. The process parameter calibration method according to claim 5, characterized in that: When the basic information parameter set includes the static attribute parameter subset, the verifying the basic information parameter set includes: When each parameter in the static attribute parameter subset does not change dynamically, it is determined that the static attribute parameter subset verification passes.

7. The process parameter calibration method according to claim 5, characterized in that: When the basic information parameter set includes the dynamic longitude and latitude parameter subset, the dynamic longitude and latitude parameter subset includes longitude and latitude corresponding to the level; wherein the level includes a site, a base station, an antenna surface, and a cell; and verifying the basic information parameter set includes: When the longitude and latitude of the station are within the corresponding preset area, based on the historical record data and current record data corresponding to each parameter in the dynamic longitude and latitude parameter subset, the historical offset time series and the current actual offset corresponding to the level are calculated respectively; Input each of the historical offset time series into a corresponding time series analysis model to obtain a corresponding offset prediction value; When the difference between each of the predicted offset values ​​and the corresponding current actual offset does not exceed a first preset threshold, it is determined that the dynamic latitude and longitude parameter subset verification has passed.

8. The process parameter calibration method according to claim 5, characterized in that: When the basic information parameter set includes the associated attribute parameter subset, the associated attribute parameter subset includes a cell global identifier and a base station identifier; and verifying the basic information parameter set includes: When the cell global identity conforms to the representation format of the designated network and the base station identity field in the cell global identity is consistent with the base station identity, it is determined that the associated attribute parameter subset verification has passed.

9. The process parameter calibration method according to claim 1 or 3, characterized in that: The radio frequency configuration parameter set includes: at least one of an antenna geometry parameter subset, a static network parameter subset, and an associated configuration parameter subset.

10. The process parameter calibration method according to claim 9, characterized in that: When the radio frequency configuration parameter set includes the static network parameter subset, the verifying the radio frequency configuration parameter set includes: When each parameter in the static network parameter subset does not change dynamically, it is determined that the static network parameter subset verification passes.

11. The process parameter calibration method according to claim 9, characterized in that: When the radio frequency configuration parameter set includes the antenna geometry parameter subset, the verifying the radio frequency configuration parameter set includes: Inputting the historical geometric time series corresponding to each parameter in the antenna geometric parameter subset into the corresponding time series analysis model to obtain the corresponding geometric prediction value; When the difference between each of the geometric prediction values ​​and the corresponding actual measurement value does not exceed a second preset threshold, it is determined that the antenna geometric parameter subset verification has passed.

12. The process parameter calibration method according to claim 9, characterized in that: When the radio frequency configuration parameter set includes the associated configuration parameter subset, the associated configuration parameter subset includes a network standard, a frequency band, and a center frequency interval; The verifying the radio frequency configuration parameter set includes: Based on the network standard, determining an available frequency band; When the frequency band belongs to the available frequency band, determining that the frequency band check passes; When the frequency band check passes, determining an available center frequency interval based on the network standard and the frequency band; When the center frequency interval is included in the available center frequency interval, it is determined that the associated configuration parameter subset check passes.

13. A process parameter calibration device, characterized in that: include: A data acquisition module, used to acquire the engineering parameter data of each level to which at least one target cell belongs; A data partitioning module, used to partition all the engineering parameter data to obtain an area parameter set, a basic information parameter set and a radio frequency configuration parameter set; The verification module is used to verify the parameters in the area parameter set, the basic information parameter set and the radio frequency configuration parameter set to obtain a verification result.

14. A process parameter calibration system, comprising: The front-end user interface layer is used to provide users with warning information display and interactive operations; A business layer, used for processing business logic; the business layer includes an industrial parameter data entry module, a compliance verification module and a graded warning module, wherein the compliance verification module is the industrial parameter verification device described in claim 13 above; The data layer is used to provide data support for the compliance verification module; The basic service layer is used to manage and transmit the engineering parameter data that fails the verification in the compliance verification module; The operating environment layer is used to provide support for the hardware environment and software environment.

15. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program; wherein, when the computer program is run, it controls the device where the computer-readable storage medium is located to execute the industrial parameter calibration method as described in any one of claims 1 to 12.

16. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the industrial parameter calibration method as described in any one of claims 1 to 12.

17. An electronic device, characterized in that: The invention comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the industrial parameter calibration method according to any one of claims 1 to 12 when executing the computer program.

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