Signal spatiotemporal coverage assessment method, device, equipment and medium

Abstract

The present disclosure provides a signal spatiotemporal coverage assessment method, apparatus, device, and medium. The signal spatiotemporal coverage assessment method includes: obtaining trajectory data of a first-category terminal and trajectory data of a second-category terminal; determining a first resident point position of the first-category terminal based on the trajectory data of the first-category terminal, and determining a second resident point position of the second-category terminal based on the trajectory data of the second-category terminal; determining first signal coverage information of the first-category terminal based on the first resident point position, and determining second signal coverage information of the second-category terminal based on the second resident point position; determining a temporal coverage degree and a spatial coverage degree of the first-category signal based on the first signal coverage information and the second signal coverage information; and determining the spatiotemporal coverage information of the first-category signal based on the temporal coverage degree and the spatial coverage degree of the first-category signal. This method solves the technical problem in the prior art that the analysis dimension is relatively single and the spatiotemporal coverage of the communication network signal cannot be effectively analyzed.

Description

Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to a method, apparatus, device, and medium for evaluating signal spatiotemporal coverage. Background Art

[0002] In related technologies, the construction of network equipment is guided by analyzing the user data traffic in the area where the network equipment is to be built. In this way, the analysis dimension is relatively single and it is not possible to effectively analyze the spatiotemporal coverage of the communication network signal. Summary of the Invention

[0003] The present disclosure aims to solve one of the technical problems in the related art at least to a certain extent.

[0004] To this end, the present disclosure proposes a signal spatiotemporal coverage assessment method, device, electronic device, non-transitory computer-readable storage medium storing computer instructions, and computer program product to effectively analyze the spatiotemporal coverage of communication network signals.

[0005] An embodiment of a first aspect of the present disclosure proposes a signal spatiotemporal coverage assessment method, including: obtaining first-category terminal trajectory data and second-category terminal trajectory data, wherein the first-category terminal is a terminal that communicates based on a first-category signal, and the second-category terminal is a terminal other than the first-category terminal; determining a first dwelling point position of the first-category terminal according to the first-category terminal trajectory data, and determining a second dwelling point position of the second-category terminal according to the second-category terminal trajectory data; determining first signal coverage information of the first-category terminal according to the first dwelling point position, and determining second signal coverage information of the second-category terminal according to the second dwelling point position; determining a temporal coverage degree and a spatial coverage degree of the first-category signal according to the first signal coverage information and the second signal coverage information, wherein the temporal coverage degree is used to describe the coverage of the first-category signal in the temporal dimension, and the spatial coverage degree is used to describe the coverage of the first-category signal in the spatial dimension; and determining the spatiotemporal coverage information of the first-category signal according to the temporal coverage degree and the spatial coverage degree.

[0006] According to a second aspect of the present disclosure, an embodiment provides a signal spatiotemporal coverage assessment device, comprising: an acquisition module, configured to acquire trajectory data of a first-category terminal and a second-category terminal, wherein the first-category terminal is a terminal that communicates based on a first-category signal, and the second-category terminal is a terminal other than the first-category terminal; a first determination module, configured to determine a first dwelling point position of the first-category terminal based on the trajectory data of the first-category terminal, and to determine a second dwelling point position of the second-category terminal based on the trajectory data of the second-category terminal; a second determination module, configured to determine first signal coverage information of the first-category terminal based on the first dwelling point position, and to determine second signal coverage information of the second-category terminal based on the second dwelling point position; a third determination module, configured to determine a temporal coverage degree and a spatial coverage degree of the first-category signal based on the first signal coverage information and the second signal coverage information, wherein the temporal coverage degree is used to describe the coverage of the first-category signal in the temporal dimension, and the spatial coverage degree is used to describe the coverage of the first-category signal in the spatial dimension; and a fourth determination module, configured to determine the spatiotemporal coverage information of the first-category signal based on the temporal coverage degree and the spatial coverage degree.

[0007] The third aspect of the present disclosure provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; and the processor executes the computer-executable instructions stored in the memory to implement the above method.

[0008] The fourth aspect of the present disclosure provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the above-mentioned method.

[0009] The fifth aspect of the present disclosure provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0010] The present disclosure provides a method, apparatus, electronic device, non-transitory computer-readable storage medium storing computer instructions, and computer program product for evaluating signal spatiotemporal coverage. The method obtains trajectory data of a first-category terminal and trajectory data of a second-category terminal, wherein the first-category terminal is a terminal that communicates based on a first-category signal and the second-category terminal is a terminal other than the first-category terminal. The method determines a first dwelling point location of the first-category terminal based on the trajectory data of the first-category terminal, determines a second dwelling point location of the second-category terminal based on the trajectory data of the second-category terminal, determines first signal coverage information of the first-category terminal based on the first dwelling point location, and determines second signal coverage information of the second-category terminal based on the second dwelling point location. The method determines the temporal coverage and spatial coverage of the first-category signal based on the first and second signal coverage information. The temporal coverage describes the coverage of the first-category signal in the temporal dimension, and the spatial coverage describes the coverage of the first-category signal in the spatial dimension. The method also determines the temporal and spatial coverage information of the first-category signal based on the temporal and spatial coverage of the first-category signal. The method effectively analyzes the spatiotemporal coverage of communication network signals.

[0011] Additional aspects and advantages of the present disclosure will be given in part in the description below and in part will be obvious from the description below, or will be learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The above and / or additional aspects and advantages of the present disclosure will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0013] Figure 1 A schematic diagram of a flow chart of a signal spatiotemporal coverage assessment method provided by an embodiment of the present disclosure;

[0014] Figure 2 A schematic diagram of a flow chart of another signal spatiotemporal coverage assessment method provided by an embodiment of the present disclosure;

[0015] Figure 3 A schematic diagram of a flow chart of another signal spatiotemporal coverage assessment method provided by an embodiment of the present disclosure;

[0016] Figure 4 A schematic diagram of the structure of a signal spatiotemporal coverage evaluation device provided by an embodiment of the present disclosure;

[0017] Figure 5 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0018] The following describes in detail embodiments of the present disclosure, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0019] Figure 1 A flow chart of a signal spatiotemporal coverage assessment method provided by an embodiment of the present disclosure.

[0020] like Figure 1 As shown, the signal spatiotemporal coverage assessment method includes:

[0021] S101: Acquire trajectory data of first-category terminals and trajectory data of second-category terminals, wherein the first-category terminals are terminals that communicate based on first-category signals, and the second-category terminals are terminals other than the first-category terminals.

[0022] Among them, the first type of terminal may be, for example, a terminal that communicates based on the first type of signal. The first type of signal is, for example, a fifth generation mobile communication technology (5G) signal. For example, the first type of terminal is a terminal that supports 5G communication and has turned on the 5G communication soft switch. The second type of terminal is a terminal other than the first type of terminal. For example, the second type of terminal does not support 5G communication, or supports 5G communication but has not turned on the 5G communication soft switch. The terminal may also be referred to as a user terminal, which is not limited.

[0023] Therefore, in the present disclosure, since a distinction is made between the first type of terminals and the second type of terminals, the selection range of target user terminals can be effectively expanded, and the accuracy of the overall signal coverage analysis can be improved.

[0024] The first type of terminal trajectory data is used to describe the trajectory of the first type of terminal, and the second type of terminal trajectory data is used to describe the trajectory of the second type of terminal.

[0025] In some embodiments, in the process of obtaining the first-category terminal trajectory data and the second-category terminal trajectory data, a data source may be obtained, which may include signaling trajectory data and maintenance, repair, and operations (MRO) data, and data preprocessing and feature engineering may be performed to supplement missing values ​​in the signaling trajectory data and MRO data, eliminate extreme values ​​and outliers, and eliminate location data with a residence time less than 0, as well as two location data of the same user terminal that are extremely far apart based on adjacent time. Transit base station data may also be eliminated to obtain processed data, and based on the processed data, the user terminal types are divided into user terminals that support 5G and have 5G turned on (an optional example of the first-category terminal) and other user terminals (an optional example of the second-category terminal).

[0026] S102: Determine a first station point location of a first type of terminal based on the first type of terminal trajectory data, and determine a second station point location of a second type of terminal based on the second type of terminal trajectory data.

[0027] After determining the trajectory data of the first-category terminal as described above, the first dwelling point location of the first-category terminal can be determined based on the trajectory data of the first-category terminal. The first dwelling point location can be a number of dwelling points of the first-category terminal within a set period of time (e.g., daily). For example, the trajectory data of the first-category terminal can be processed based on a dwelling point detection algorithm to obtain the first dwelling point location of the first-category terminal, or the first dwelling point location of the first-category terminal can be determined based on the trajectory data of the first-category terminal based on any other possible algorithm.

[0028] Optionally, in some embodiments, when determining the first dwelling point location of the first-category terminal based on the first-category terminal trajectory data, the base stations covered by the first-category terminal trajectory can be determined based on the first-category terminal trajectory data, and the locations of the covered base stations are used as the first dwelling point locations. This allows for accurate and convenient characterization of the first-category terminal's dwelling location over a time period.

[0029] For example, for user terminals that support 5G and have 5G turned on, the base station covered by the displacement trajectory data can be determined by obtaining the daily displacement trajectory data of this type of terminal (an optional example of the first type of terminal trajectory data), and the position of the base station can be used as the first residence point position.

[0030] After determining the second-category terminal trajectory data as described above, the second-category terminal's second dwell point location can be determined based on the second-category terminal trajectory data. The second dwell point location can be a number of dwell points of the second-category terminal within a set period of time (e.g., daily). For example, the second-category terminal trajectory data can be processed based on a dwell point detection algorithm to obtain the second-category terminal's second dwell point location, or the second-category terminal's second dwell point location can be determined based on the second-category terminal trajectory data based on any other possible algorithm.

[0031] Optionally, in some embodiments, the second-category terminal trajectory data includes: multiple time periods, and trajectory sub-data corresponding to each time period; in the process of determining the second dwelling point location of the second-category terminal based on the second-category terminal trajectory data, at least one cluster center may be assigned to each time period, and the trajectory sub-data within the corresponding time period may be clustered according to the cluster center to obtain at least one cluster, and the cluster center of gravity position of each cluster may be determined, and the cluster center of gravity position may be used as the second dwelling point location. In this way, the dwelling location of the second-category terminal within a time range can be accurately and conveniently characterized.

[0032] That is to say, since the second type of terminal does not support communication based on the first type of signal, or the second terminal has not enabled communication based on the first type of signal, the trajectory data of the second type of terminal can be analyzed based on the idea of ​​clustering to clarify the location of the second type of terminal within a time range.

[0033] For example, the second-category terminal trajectory data can be grouped and sorted, and the second-category terminal trajectory data can be divided into K segments (K time periods) by time to obtain K trajectory sub-data. The trajectory sub-data obtained by division are sorted according to the order of the K time periods. The number of clusters in each time period is set to N, and the cluster center is initialized. The distance between each trajectory sub-data in each time period and the N initial cluster centers in the time period is calculated, and the trajectory sub-data is divided into the cluster with the closest cluster center. For each cluster, the location of the cluster's center of gravity is calculated (which can be called the center of gravity location), and the center of gravity location is used as the residence point location corresponding to the time period. Then, the residence point location of each time period is used as the second residence point location of the second-category terminal.

[0034] The first resident point locations of the first type of terminals and the second resident point locations of the second type of terminals determined above can be used together to analyze signal coverage, thereby supporting expansion of the data dimensions referenced during signal coverage analysis.

[0035] S103: Determine first signal coverage information of a first type of terminal according to the first residence point location, and determine second signal coverage information of a second type of terminal according to the second residence point location.

[0036] After determining the location of the first dwell point, first signal coverage information for the first type of terminal can be determined, where the first signal coverage information describes the situation where the first type of terminal is covered by the first signal. After determining the location of the second dwell point, second signal coverage information for the second type of terminal can be determined, where the second signal coverage information describes the situation where the second type of terminal is covered by the first signal.

[0037] For example, based on the first resident point location of the first type of terminal, the coverage of the first signal at the corresponding several resident points (whether each resident point is covered by the first type of signal, the duration of coverage when covered by the first type of signal, the strength of the first type of signal, etc.) can be analyzed, and the information describing the coverage situation can be used as the first signal coverage information. Based on the second resident point location of the second type of terminal, the coverage of the first signal at the corresponding several resident points (whether each resident point is covered by the first type of signal, the duration of coverage when covered by the first type of signal, the strength of the first type of signal, etc.) can also be analyzed, and the information describing the coverage situation can be used as the second signal coverage information.

[0038] S104: Determine the time coverage and spatial coverage of the first type of signal based on the first signal coverage information and the second signal coverage information, wherein the time coverage is used to describe the coverage of the first type of signal in the time dimension, and the spatial coverage is used to describe the coverage of the first type of signal in the spatial dimension.

[0039] After determining the first signal coverage information and the second signal coverage information, the time coverage and spatial coverage of the first type of signal can be analyzed in combination with the first signal coverage information and the second signal coverage information. The time coverage is used to describe the coverage of the first type of signal in the time dimension, and the spatial coverage is used to describe the coverage of the first type of signal in the spatial dimension, so as to accurately determine the coverage of the first type of signal in the time dimension and the spatial dimension.

[0040] In some embodiments, the first signal coverage information and the second signal coverage information can be processed based on artificial intelligence to determine the time coverage and spatial coverage of the first type of signal; or the first signal coverage information and the second signal coverage information can be processed based on a modeling method to determine the time coverage and spatial coverage of the first type of signal; of course, the first signal coverage information and the second signal coverage information can also be processed based on any other possible method to determine the time coverage and spatial coverage of the first type of signal, and there is no limitation on this.

[0041] S105: Determine the temporal and spatial coverage information of the first type of signal according to the temporal coverage and spatial coverage of the first type of signal.

[0042] After analyzing and obtaining the temporal and spatial coverage of the first-class signal, the temporal and spatial coverage can be synthesized to determine the temporal and spatial coverage information of the first-class signal. This temporal and spatial coverage information can comprehensively describe the temporal and spatial coverage of the first-class signal. Thus, the present disclosure provides a comprehensive communication network signal analysis method that can analyze and obtain temporal and spatial coverage information of the first-class signal, thereby effectively guiding the regional construction of network equipment that supports the first-class signal and improving its practicality.

[0043] In this embodiment, by acquiring trajectory data of first-category terminals and trajectory data of second-category terminals, where the first-category terminals are terminals that communicate based on first-category signals and the second-category terminals are terminals other than the first-category terminals, determining the first dwelling point locations of the first-category terminals based on the first-category terminal trajectory data, determining the second dwelling point locations of the second-category terminals based on the second-category terminal trajectory data, determining first signal coverage information of the first-category terminals based on the first dwelling point locations, and determining second signal coverage information of the second-category terminals based on the second dwelling point locations, and determining the temporal coverage and spatial coverage of the first-category signals based on the first and second signal coverage information, where the temporal coverage describes the coverage of the first-category signals in the temporal dimension and the spatial coverage describes the coverage of the first-category signals in the spatial dimension, and determining the temporal and spatial coverage information of the first-category signals based on the temporal and spatial coverage of the first-category signals. Effective analysis of the temporal and spatial coverage of communication network signals is achieved.

[0044] Figure 2 A flowchart of another signal spatiotemporal coverage assessment method provided by an embodiment of the present disclosure.

[0045] like Figure 2 As shown, the signal spatiotemporal coverage assessment method includes:

[0046] S201: Acquire first-category terminal trajectory data and second-category terminal trajectory data, wherein the first-category terminal is a terminal that communicates based on a first-category signal, and the second-category terminal is a terminal other than the first-category terminal.

[0047] S202: Determine a first station point location of a first type of terminal based on the first type of terminal trajectory data, and determine a second station point location of a second type of terminal based on the second type of terminal trajectory data.

[0048] For the description of S201 - S202 , please refer to the above embodiment and will not be repeated here.

[0049] S203: Determine whether the location of the first residence point is covered by a first type of base station, where the first type of base station is a base station that provides a first type of signal.

[0050] Referring to the above description, the number of first residence point positions can be several, and for each first residence point position, it can be determined whether the first residence point position is covered by the first type of base station. The first type of base station is a base station that provides the first type of signal. The first type of base station is, for example, a 5G base station. The determined result can be used to analyze the first signal coverage information.

[0051] S204: If the first residence point location is covered by the first type of base station, count the first number of first residence point locations covered by the first type of base station, determine the coverage strength of the first type of signal provided by the first type of base station, and use the communication connection duration of the first type of terminal based on the first type of signal as the coverage duration of the first type of signal.

[0052] There may be several first residency point locations, and the first residency point locations covered by the first type of base station may be determined from the several first residency point locations, and the first number of first residency point locations covered by the first type of base station may be determined.

[0053] For example, for user terminals that support 5G and have 5G turned on: the base station table can be obtained through the first residence point location, and based on the base station table, it can be determined whether the base station covering the first residence point location is a 5G base station. If it is a 5G base station, the coverage strength of the 5G signal can be determined, and at the same time, the communication connection duration based on the 5G signal of the user terminal that supports 5G and has 5G turned on within the day is calculated as the coverage duration of the first type of signal.

[0054] S205: Use the first quantity, the coverage strength of the first type of signal, and the coverage duration of the first type of signal as first signal coverage information.

[0055] Thus, when the first dwell point location is covered by the first type of base station, the first number of first dwell point locations covered by the first type of base station is counted, the coverage strength of the first type of signal provided by the first type of base station is determined, and the communication connection duration of the first type of terminal based on the first type of signal is used as the coverage duration of the first type of signal. Then, the first number, the coverage strength of the first type of signal, and the coverage duration of the first type of signal are used as the first signal coverage information, thereby effectively expanding the dimension of the first signal coverage information and supporting the acquisition of comprehensive first signal coverage information.

[0056] S206: Determine whether the second residence point is covered by the first type of base station.

[0057] Referring to the above description, there may be several second dwelling point locations. For each second dwelling point location, it may be determined whether the second dwelling point location is covered by the first type of base station. The determined result may be used to analyze the first signal coverage information.

[0058] For example, the straight-line distance d from each second dwell point location to the nearest 5G base station can be calculated. If the straight-line distance exceeds a preset first threshold, the corresponding second type terminal is considered not covered by the 5G base station. The first threshold can be set to 500 meters. Alternatively, the angle θ' between the line connecting each second dwell point location to the base station and the midline of the base station's fan can be calculated. If the angle θ' exceeds a given second threshold, the corresponding second type terminal is considered not covered by the 5G base station. The second threshold is set to 90 degrees.

[0059] S207: If the second dwell point location is covered by the first type of base station, count the second number of second dwell point locations covered by the first type of base station, and determine the coverage strength of the first type of signal at the second dwell point location and the coverage duration of the first type of signal.

[0060] The number of second dwelling point locations may be multiple, and a second dwelling point location covered by the first type of base station may be determined from the multiple second dwelling point locations, and a second number of second dwelling point locations covered by the first type of base station may be determined. The coverage strength of the first type of signal at the second dwelling point location and the coverage duration of the first type of signal may then be determined.

[0061] For example, in the process of determining the coverage strength of the first type of signal at the second dwell point, the distance d, θ and the free space model P may be referred to. r (d)=(P T G T G R λ 2 ) / ((4πd) 2 K θ ), where P T is the transmitted signal power, G T is the gain of the transmitting antenna, G R is the gain of the receiving antenna; distance d is the distance between the user and the base station, λ is the wavelength in meters, λ = c / f, where c is the speed of light and f is the frequency; K θ =10*log10(θ / λ), θ is the angle between the signal source and the antenna, P r (d) represents the coverage strength of the first type of signal. Then, the maximum and minimum value method can be used to quantify the 5G signal coverage strength to the range of 0-1.

[0062] S208: Use the second number, the coverage strength of the first type of signal, and the coverage duration of the first type of signal as the second signal coverage information.

[0063] After determining the coverage strength of the first-class signal at the second dwell point, the coverage duration of the first-class signal can be further determined. The second quantity, the coverage strength of the first-class signal, and the coverage duration of the first-class signal are then used as the second signal coverage information, thereby effectively expanding the dimension of the second signal coverage information and supporting the acquisition of comprehensive second signal coverage information.

[0064] In other embodiments, the first signal may be subjected to a fluctuation score based on the coverage strength of the first type of signal to obtain a fluctuation score value of the first signal, thereby enabling quantitative scoring of the stability of the first type of signal. For example, based on the 5G signal strength (an optional example of the coverage strength of the first type of signal), the variance formula σ2 = ∑(X-μ) may be used. 2 / N calculates the user's 5G signal fluctuation score, where N represents the number of times the second-type terminal connects to the 5G base station on that day, X represents the coverage strength of the 5G signal each time, and μ represents the average coverage strength of the 5G signal for the second-type terminal on that day.

[0065] S209: Determine the time coverage and spatial coverage of the first type of signal based on the first signal coverage information and the second signal coverage information, wherein the time coverage is used to describe the coverage of the first type of signal in the time dimension, and the spatial coverage is used to describe the coverage of the first type of signal in the spatial dimension.

[0066] After determining the first signal coverage information and the second signal coverage information, the first signal coverage information and the second signal coverage information can be combined to determine the coverage of the first type of signal in the time dimension, such as the continuous coverage duration, the duration of coverage interruptions, etc., and the time coverage degree can be used to describe the coverage of the first type of signal in the time dimension. The first signal coverage information and the second signal coverage information can also be combined to determine the coverage of the first type of signal in the spatial dimension, such as the signal coverage range, the identification of the signal coverage area, the number of signal coverage areas, etc., and the spatial coverage degree can be used to describe the coverage of the first type of signal in the spatial dimension.

[0067] Optionally, in some embodiments, in the process of determining the temporal coverage of the first type of signal based on the first signal coverage information and the second signal coverage information, the temporal coverage ratio of the first type of signal can be determined based on the coverage duration of the first type of signal, and the temporal coverage of the first type of signal can be determined based on the coverage strength of the first type of signal and the temporal coverage ratio of the first type of signal. This allows for accurate and effective determination of the temporal coverage of the first type of signal.

[0068] The duration coverage ratio can be understood as the ratio between the continuous coverage duration of the first signal and the reference duration.

[0069] Optionally, in some embodiments, the total duration of collecting terminal trajectory data can be determined, and the duration coverage ratio of the first type of signal can be determined based on the coverage duration and the total duration of the first type of signal. This allows for accurate determination of the duration coverage ratio of the first type of signal.

[0070] For example, if the first or second type of terminal trajectory data is collected within one day, the total duration is one day. Calculate the duration coverage ratio of the first type of signal. For example, to calculate the duration coverage ratio of the 5G signal, use the formula: 5G coverage duration / total duration. 5G coverage duration is an optional example of the coverage duration of the first type of signal.

[0071] After determining the duration coverage ratio of the first type of signal, the coverage intensity of the first type of signal and the duration coverage ratio of the first type of signal may be combined to determine the temporal coverage degree of the first type of signal.

[0072] Optionally, in some embodiments, in the process of determining the temporal coverage of the first-class signal based on the coverage strength of the first-class signal and the duration coverage ratio of the first-class signal, the sum of the coverage strength of the first-class signal and the first value may be determined, the product of the duration coverage ratio of the first-class signal and the sum may be determined, and the ratio of the product to the second value may be used as the temporal coverage of the first-class signal. This allows for accurate determination of the temporal coverage of the first-class signal.

[0073] The first value and the second value may be preset, and may be personalized according to actual data calculation accuracy requirements, or may also support adaptive adjustment. The first value is, for example, 1, and the second value is, for example, 2.

[0074] For example, the time coverage of the first type of signal (taking 5G signal as an example) is calculated: 5G signal time coverage ratio * (1 + 5G signal strength) / 2, where 5G signal strength is an optional example of the coverage strength of the first type of signal.

[0075] Optionally, in some embodiments, in the process of determining the spatial coverage degree of the first type of signal based on the first signal coverage information and the second signal coverage information, the spatial coverage proportion of the first type of signal may be determined based on the first quantity and the second quantity, and the spatial coverage degree of the first type of signal may be determined based on the coverage strength of the first type of signal and the spatial coverage proportion of the first type of signal. This allows for accurate and effective determination of the spatial coverage degree of the first type of signal.

[0076] The spatial coverage ratio can be understood as a first number of first residence points of first-category terminals determined based on the trajectory data of first-category terminals, a second number of second residence points of second-category terminals determined based on the trajectory data of second-category terminals, and a ratio between the total number of the first number and the second number.

[0077] Optionally, in some embodiments, the total number of the first and second dwell points may be determined, and the spatial coverage ratio of the first type of signal may be determined based on the first number, the second number, and the total number, thereby accurately determining the spatial coverage ratio of the first type of signal.

[0078] For example, calculate the 5G signal spatial coverage ratio (an optional example of the spatial coverage ratio of the first type of signal): the number of 5G signal area coverage / the total number of areas, where the number of 5G signal area coverage refers to the number of terminals (including first and second types of terminals) covered by 5G base stations in all the residence points on that day (an optional example of the first number and the second number), and the total number of areas refers to the number of all the residence points of the user on that day (an optional example of the sum of the first number and the second number).

[0079] Optionally, in some embodiments, in the process of determining the spatial coverage degree of the first-class signal based on the coverage strength of the first-class signal and the spatial coverage ratio of the first-class signal, the sum of the coverage strength of the first-class signal and the first value can be determined, the product of the spatial coverage ratio of the first-class signal and the sum can be determined, and the ratio of the product value to the second value can be used as the spatial coverage degree of the first-class signal. This can accurately determine the spatial coverage degree of the first-class signal.

[0080] The first value and the second value may be preset, and may be personalized according to actual data calculation accuracy requirements, or may also support adaptive adjustment. The first value is, for example, 1, and the second value is, for example, 2.

[0081] For example, calculate the spatial coverage degree (an optional example of the spatial coverage degree of the first type of signal, taking the first type of signal as a 5G signal as an example): the regional coverage ratio of the 5G signal * (1 + 5G signal strength) / 2, where the regional coverage ratio of the 5G signal is an optional example of the spatial coverage ratio of the first type of signal, and the 5G signal strength is an optional example of the coverage strength of the first type of signal. "*" indicates a multiplication operation.

[0082] S210: Determine the temporal and spatial coverage information of the first type of signal according to the temporal coverage and spatial coverage of the first type of signal.

[0083] After determining the temporal coverage and spatial coverage of the first type of signal, the temporal and spatial coverage information of the first type of signal can be determined.

[0084] Optionally, in some embodiments, in the process of determining the spatiotemporal coverage information of the first type of signal based on the temporal coverage and spatial coverage of the first type of signal, first weight information corresponding to the temporal coverage may be determined, and second weight information corresponding to the spatial coverage may be determined. The temporal coverage may be weighted according to the first weight information to obtain a target temporal coverage, and the spatial coverage may be weighted according to the second weight information to obtain a target spatial coverage, and the spatiotemporal coverage information may be determined based on the target temporal coverage and the target spatial coverage. This effectively balances the temporal coverage and the spatial coverage, so that the determined spatiotemporal coverage information is more consistent with the actual communication scenario.

[0085] The first weight information and the second weight information may be personalized settings, for example, personalized settings according to actual communication scenarios, and may also support adaptive adjustment.

[0086] For example, the spatiotemporal coverage of 5G signals is calculated (an optional example of the spatiotemporal coverage information of the first type of signal): time coverage * first weight + spatial coverage * second weight, wherein the first weight (an optional example of the first weight information) is set to 0.5 in urban areas and 0.7 in rural areas, and the second weight (an optional example of the second weight information) is set to 0.5 in urban areas and 0.3 in rural areas.

[0087] In this embodiment, the spatiotemporal coverage of the communication network signal is effectively analyzed. When the first dwell point location is covered by the first type of base station, the first number of the first dwell point locations covered by the first type of base station is counted, and the coverage strength of the first type of signal provided by the first type of base station is determined, and the communication connection duration of the first type of terminal based on the first type of signal is used as the coverage duration of the first type of signal. Then, the first number, the coverage strength of the first type of signal, and the coverage duration of the first type of signal are used as the first signal coverage information, so as to effectively extend the dimension of the first signal coverage information and support the acquisition of comprehensive first signal coverage information. After determining the coverage strength of the first type of signal at the second dwell point location, the coverage duration of the first type of signal can be further determined. Then, the second number, the coverage strength of the first type of signal, and the coverage duration of the first type of signal are used as the second signal coverage information, so as to effectively extend the dimension of the second signal coverage information and support the acquisition of comprehensive second signal coverage information. By determining first weight information corresponding to the temporal coverage level and second weight information corresponding to the spatial coverage level, weighting the temporal coverage level according to the first weight information to obtain a target temporal coverage level, and weighting the spatial coverage level according to the second weight information to obtain a target spatial coverage level, and determining spatiotemporal coverage information based on the target temporal coverage level and the target spatial coverage level, the temporal coverage level and the spatial coverage level are effectively balanced, so that the determined spatiotemporal coverage information can better conform to actual communication scenarios.

[0088] In some embodiments of the present disclosure, after analyzing and obtaining the spatiotemporal coverage information of the first type of signal, the construction of network equipment can also be guided based on the spatiotemporal coverage information of the first type of signal, and multiple candidate base station site selection areas can be determined. The type corresponding to each candidate base station site selection area is determined based on the first signal coverage information, the second signal coverage information, and the spatiotemporal coverage information of the first type of signal, and the type is the first type or the second type, wherein the first type is used to indicate that a base station supporting the first type of signal needs to be built within the candidate base station site selection area, and the second type indicates that a base station supporting the first type of signal does not need to be built within the candidate base station site selection area, and the priority information of the base station to be built within the candidate base station site selection area is determined based on the first signal coverage information, the second signal coverage information, and the spatiotemporal coverage information of the first type of signal, wherein the type and priority information are used as construction reference information for the base station to be built. This can effectively guide the construction of network equipment and improve construction efficiency and effectiveness.

[0089] For example, taking the first signal as a 5G signal as an example, the network device may be, for example, a 5G base station, and the to-be-selected site area (an optional example of a candidate base station site area) and the construction type (an optional example of the above type) are determined as follows:

[0090] The first step is to use density clustering to determine the candidate site selection area. The parameters for the density clustering method can be set, including the minimum sample size N and the density radius R. A data point p is randomly selected as the initial cluster center, and all points within a radius R centered around point p are found. If the number of points within the radius is less than N, point p is treated as white noise, and the next unselected point is selected for processing. Otherwise, all points within the radius are added to the current cluster and marked as selected. Each point is classified into three states: core point, boundary point, and white noise point. A core point is one with more than N neighbors within a radius of R, a boundary point is one with fewer than N neighbors within a radius of R, and a point that is neither a core point nor a boundary point is considered a noise point. The mean of the longitude and latitude of all points in each cluster is calculated and used as the center point of the cluster. The candidate site selection area is then determined with the center point of the cluster as the center.

[0091] The second step is to distinguish the construction type of each cluster center area (an optional example of the area to be sited): According to the 5G signal strength and 5G coverage of the area calculated above, it can be divided into 5G coverage demand (an optional example of the first type, for example, building a new 5G base station) and non-5G coverage demand (an optional example of the second type, for example, optimizing 5G base stations and not building 5G base stations for the time being). Calculate the 5G signal coverage = number of people covered by the 5G signal / total number of people in the area. If the 5G signal is fully covered in the area, the average score of the 5G signal strength in the area is calculated based on the 5G signal evaluation strength score obtained above. If it is less than 0.5, the 5G base station construction demand in the area is an optimization demand (an optional example of the second type). If the 5G signal is partially covered in the area, when the 5G signal coverage in the area is lower than a given threshold, the 5G base station construction demand in the area is a coverage demand (an optional example of the first type). If the 5G coverage in the area is 0, the area is an optional example of the first type of new station demand).

[0092] Step 3. Priority assessment of 5G base station construction: The Analytic Hierarchy Process (AHP) method can be used to assess the priority of 5G base station construction: Determine the measurement indicators for the priority of 5G base station construction: the average length of stay of users at each base station to be built, the number of users in the base station, the total traffic of 5G packages of users in the base station, the proportion of users with 5G terminals turned on, the average 5G signal strength score, the average spatial and temporal coverage of users in the base station, and other indicators. Use the expert scoring method to score the importance between the two indicators, determine the importance between the two indicators, and form a characteristic matrix for eigenvalue and eigenvector calculations. Calculate the eigenvalues ​​and eigenvectors of the matrix, calculate the weight of each indicator based on the eigenvector, and multiply the indicator weight by each indicator of the base station to output the score of the 5G base station construction priority.

[0093] Therefore, when the method provided in the embodiment of the present disclosure is applied to the evaluation of the spatiotemporal coverage information of 5G signals, by measuring the spatiotemporal coverage of 5G signals of 5G users and using comprehensive evaluation indicators to evaluate the priority of 5G base station construction, it provides a basis for operators to optimize the construction layout of 5G base stations and improve users' 5G usage experience, and further improves the 5G network coverage quality and user satisfaction. It can also provide more accurate 5G signal spatiotemporal coverage evaluation data, accurately measure the signal strength and coverage range of existing 5G base stations, and help operators better plan and optimize 5G networks, reasonably allocate resources, and improve network performance and user experience. By analyzing the construction status of 5G base stations, user trajectory data, 5G signal coverage, etc., it can be calculated which areas need to prioritize the construction of 5G base stations to meet user needs and promote business growth.

[0094] like Figure 3 As shown, Figure 3 This is a flow chart of another signal spatiotemporal coverage assessment method provided by an embodiment of the present disclosure. Figure 3 The description of can be found in the above embodiments and will not be repeated here.

[0095] Figure 4 A schematic diagram of the structure of a signal spatiotemporal coverage evaluation device provided by an embodiment of the present disclosure.

[0096] like Figure 4 As shown, the signal spatiotemporal coverage evaluation device 40 includes:

[0097] The acquisition module 401 is configured to acquire trajectory data of first-category terminals and trajectory data of second-category terminals, wherein the first-category terminals are terminals that communicate based on first-category signals, and the second-category terminals are terminals other than the first-category terminals.

[0098] The first determining module 402 is configured to determine a first station location of a first type of terminal based on the first type of terminal trajectory data, and to determine a second station location of a second type of terminal based on the second type of terminal trajectory data.

[0099] The second determining module 403 is configured to determine first signal coverage information of a first type of terminal according to the first residency point location, and determine second signal coverage information of a second type of terminal according to the second residency point location.

[0100] The third determination module 404 is used to determine the time coverage and spatial coverage of the first type of signal based on the first signal coverage information and the second signal coverage information, wherein the time coverage is used to describe the coverage of the first type of signal in the time dimension, and the spatial coverage is used to describe the coverage of the first type of signal in the spatial dimension.

[0101] The fourth determining module 405 is configured to determine the spatiotemporal coverage information of the first type of signal according to the temporal coverage and spatial coverage of the first type of signal.

[0102] It should be noted that the above explanation of the signal spatiotemporal coverage assessment method is also applicable to the signal spatiotemporal coverage assessment device of this embodiment and will not be repeated here.

[0103] In this embodiment, by acquiring trajectory data of first-category terminals and trajectory data of second-category terminals, where the first-category terminals are terminals that communicate based on first-category signals and the second-category terminals are terminals other than the first-category terminals, determining the first dwelling point locations of the first-category terminals based on the first-category terminal trajectory data, determining the second dwelling point locations of the second-category terminals based on the second-category terminal trajectory data, determining first signal coverage information of the first-category terminals based on the first dwelling point locations, and determining second signal coverage information of the second-category terminals based on the second dwelling point locations, and determining the temporal coverage and spatial coverage of the first-category signals based on the first and second signal coverage information, where the temporal coverage describes the coverage of the first-category signals in the temporal dimension and the spatial coverage describes the coverage of the first-category signals in the spatial dimension, and determining the temporal and spatial coverage information of the first-category signals based on the temporal and spatial coverage of the first-category signals. Effective analysis of the temporal and spatial coverage of communication network signals is achieved.

[0104] Figure 5 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown. Figure 5 The electronic device 12 shown is only an example and should not limit the functionality and scope of use of the embodiments of the present disclosure.

[0105] like Figure 5 As shown, electronic device 12 is implemented as a general purpose computing device. Components of electronic device 12 may include, but are not limited to, one or more processors or processing units 16, memory 28, and a bus 18 that connects various system components (including memory 28 and processing unit 16).

[0106] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of such architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnection (PCI) bus.

[0107] The electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 12, including volatile and non-volatile media, removable and non-removable media.

[0108] The memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache 32. The electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be configured to read and write non-removable, non-volatile magnetic media ( Figure 5 Not shown, often called a "hard drive").

[0109] although Figure 5 Although not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a Compact Disc Read Only Memory (hereinafter referred to as: CD-ROM), a Digital Video Disc Read Only Memory (hereinafter referred to as: DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the various embodiments of the present disclosure.

[0110] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may include an implementation of a network environment. Program modules 42 generally implement the functions and / or methods of the embodiments described herein.

[0111] The electronic device 12 can also communicate with one or more external devices 14 (e.g., a keyboard, pointing device, display 24, etc.), one or more devices that enable human interaction with the electronic device 12, and / or any device that enables the electronic device 12 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). This communication can occur via an input / output (I / O) interface 22. Furthermore, the electronic device 12 can communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 via a bus 18. It should be understood that, although not shown, other hardware and / or software modules can be used in conjunction with the electronic device 12, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0112] The processing unit 16 executes various functional applications and data processing by running the programs stored in the memory 28 , such as implementing the signal spatiotemporal coverage assessment method mentioned in the above embodiment.

[0113] In order to implement the above embodiments, the present disclosure also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0114] In order to implement the above embodiments, the present disclosure further proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0115] In order to implement the above embodiments, the present disclosure further provides a computer program product, including a computer program, which implements the methods provided in the above embodiments when executed by a processor.

[0116] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this disclosure are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0117] It is important to note that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold beyond these legitimate uses. Furthermore, such collection / sharing should be conducted only after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes the relevant user information before using the feature. Furthermore, any necessary steps must be taken to safeguard and secure access to such personal information and ensure that others with access to personal information comply with its privacy policy and procedures.

[0118] This disclosure contemplates providing implementations that allow users to selectively block the use or access of personal information data. Specifically, this disclosure contemplates providing hardware and / or software to prevent or block access to such personal information data. Risks can be minimized by limiting data collection and deleting data once it is no longer needed. Furthermore, where applicable, such personal information can be de-identified to protect user privacy.

[0119] In the descriptions of the aforementioned embodiments, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are mutually inconsistent.

[0120] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. Throughout the present disclosure, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0121] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present disclosure includes additional implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0122] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0123] It should be understood that various parts of the present disclosure can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0124] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0125] In addition, the functional units in the various embodiments of the present disclosure may be integrated into a single processing module, or each unit may exist physically separately, or two or more units may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or in the form of software functional 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.

[0126] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. A person of ordinary skill in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A signal spatiotemporal coverage assessment method, characterized in that: The following steps are involved: Acquiring first-category terminal trajectory data and second-category terminal trajectory data, wherein the first-category terminal is a terminal that communicates based on a first-category signal, and the second-category terminal is a terminal other than the first-category terminal; Determining a first station location of the first type of terminal based on the first type of terminal trajectory data, and determining a second station location of the second type of terminal based on the second type of terminal trajectory data; Determining first signal coverage information of the first type of terminal according to the first residency point location, and determining second signal coverage information of the second type of terminal according to the second residency point location; Determining, based on the first signal coverage information and the second signal coverage information, a temporal coverage degree and a spatial coverage degree of the first type of signal, wherein the temporal coverage degree is used to describe the coverage of the first type of signal in the temporal dimension, and the spatial coverage degree is used to describe the coverage of the first type of signal in the spatial dimension; and The temporal and spatial coverage information of the first type of signal is determined according to the temporal coverage and spatial coverage of the first type of signal.

2. The method according to claim 1, characterized in that The determining, based on the first-category terminal trajectory data, a first stationary point position of the first-category terminal includes: Determining, based on the first-category terminal trajectory data, base stations covered by the first-category terminal trajectory; The location of the covered base station is used as the first residence point location.

3. The method according to claim 1, characterized in that The second-category terminal trajectory data includes: a plurality of time periods and trajectory sub-data corresponding to each of the time periods; wherein determining the second dwelling point location of the second-category terminal based on the second-category terminal trajectory data includes: assigning at least one cluster center to each of the time periods; Clustering the trajectory sub-data within the corresponding time period according to the cluster center to obtain at least one cluster; The cluster center position of each cluster is determined, and the cluster center position is used as the second stationary point position.

4. The method according to claim 1, wherein The determining, according to the first station point location, first signal coverage information of the first type of terminal includes: determining whether the first dwelling point location is covered by a first type of base station, wherein the first type of base station is a base station that provides the first type of signal; If the first residence point location is covered by the first type of base station, counting a first number of first residence point locations covered by the first type of base station, determining a coverage strength of a first type of signal provided by the first type of base station, and using a communication connection duration of the first type of terminal based on the first type of signal as a coverage duration of the first type of signal; The first quantity, the coverage strength of the first type of signal, and the coverage duration of the first type of signal are used as the first signal coverage information.

5. The method according to claim 1, wherein The determining, according to the second residence point location, second signal coverage information of the second type of terminal includes: determining whether the second dwelling point location is covered by a first type of base station, wherein the first type of base station is a base station that provides the first type of signal; If the second dwelling point location is covered by the first type of base station, counting a second number of the second dwelling point locations covered by the first type of base station, and determining the coverage strength of the first type of signal at the second dwelling point location and the coverage duration of the first type of signal; The second number, the coverage strength of the first type of signal, and the coverage duration of the first type of signal are used as the second signal coverage information.

6. The method according to claim 1, characterized in that The first signal coverage information includes: the coverage strength of the first type of signal and the coverage duration of the first type of signal; the second signal coverage information includes: the coverage strength of the first type of signal and the coverage duration of the first type of signal; The determining, based on the first signal coverage information and the second signal coverage information, of the time coverage degree of the first type of signal includes: Determining a duration coverage ratio of the first type of signal according to the coverage duration of the first type of signal; The temporal coverage degree of the first type of signal is determined according to the coverage strength of the first type of signal and the duration coverage ratio of the first type of signal.

7. The method according to claim 6, characterized in that The determining, according to the coverage duration of the first-category signal, a duration coverage ratio of the first-category signal includes: Determine the total time for collecting terminal trajectory data; The duration coverage ratio of the first type of signal is determined according to the coverage duration of the first type of signal and the total duration.

8. The method according to claim 6, characterized in that The determining, according to the coverage strength of the first-category signal and the duration coverage ratio of the first-category signal, the temporal coverage degree of the first-category signal includes: Determine a sum of the coverage strength of the first type of signal and the first value; Determine a product value of the duration coverage ratio of the first type of signal and the sum value; The ratio of the product value to the second value is used as the time coverage of the first type of signal.

9. The method according to claim 1, characterized in that The first signal coverage information includes: a first number of first dwelling point locations covered by a first type of base station, and coverage strength of the first type of signal; the second signal coverage information includes: a second number of second dwelling point locations covered by the first type of base station, and coverage strength of the first type of signal; the first type of base station is a base station providing the first type of signal; Determining the spatial coverage degree of the first type of signal according to the first signal coverage information and the second signal coverage information includes: Determining a spatial coverage ratio of the first type of signal according to the first number and the second number; The spatial coverage degree of the first type of signal is determined according to the coverage strength of the first type of signal and the spatial coverage ratio of the first type of signal.

10. The method according to claim 9, characterized in that The determining, according to the first quantity and the second quantity, a spatial coverage ratio of the first type of signal includes: determining a total number of the first dwell points and the second dwell points; The spatial coverage ratio of the first type of signal is determined according to the first number, the second number, and the total number.

11. The method according to claim 9, characterized in that The determining, according to the coverage strength of the first-category signal and the spatial coverage ratio of the first-category signal, the spatial coverage degree of the first-category signal includes: Determine a sum of the coverage strength of the first type of signal and the first value; Determine a product value of the spatial coverage ratio of the first type of signal and the sum value; The ratio of the product value to the second value is used as the spatial coverage degree of the first type of signal.

12. The method according to claim 1, characterized in that The determining, according to the temporal coverage and spatial coverage of the first-category signals, the temporal and spatial coverage information of the first-category signals includes: Determining first weight information corresponding to the temporal coverage degree, and determining second weight information corresponding to the spatial coverage degree; Weighting the temporal coverage according to the first weight information to obtain a target temporal coverage, and weighting the spatial coverage according to the second weight information to obtain a target spatial coverage; The spatiotemporal coverage information is determined according to the target temporal coverage degree and the target spatial coverage degree.

13. The method according to claim 1, wherein The method further comprises: Determine multiple candidate base station site selection areas; Determining, based on the first signal coverage information, the second signal coverage information, and the spatiotemporal coverage information of the first type of signal, a type corresponding to each candidate base station site selection area, where the type is a first type or a second type, wherein the first type is used to indicate that a base station supporting the first type of signal needs to be constructed within the candidate base station site selection area, and the second type indicates that a base station supporting the first type of signal does not need to be constructed within the candidate base station site selection area; Based on the first signal coverage information, the second signal coverage information, and the spatiotemporal coverage information of the first type of signal, the priority information of the base station to be constructed in the candidate base station site selection area is determined, wherein the type and the priority information are used as construction reference information for the base station to be constructed.

14. A signal spatiotemporal coverage evaluation device, characterized in that: include: an acquisition module, configured to acquire trajectory data of first-category terminals and trajectory data of second-category terminals, wherein the first-category terminals are terminals that communicate based on first-category signals, and the second-category terminals are terminals other than the first-category terminals; a first determining module, configured to determine a first station location of the first-category terminal based on the first-category terminal trajectory data, and to determine a second station location of the second-category terminal based on the second-category terminal trajectory data; a second determining module, configured to determine first signal coverage information of the first type of terminal according to the first resident point location, and determine second signal coverage information of the second type of terminal according to the second resident point location; a third determination module, configured to determine a time coverage degree and a spatial coverage degree of the first type of signal based on the first signal coverage information and the second signal coverage information, wherein the time coverage degree is used to describe the coverage of the first type of signal in the time dimension, and the spatial coverage degree is used to describe the coverage of the first type of signal in the spatial dimension; and The fourth determination module is configured to determine the spatiotemporal coverage information of the first type of signal according to the temporal coverage and spatial coverage of the first type of signal.

15. An electronic device, characterized in that: include: a processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 13.

16. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 13 when executed by a processor.

17. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 13 when executed by a processor.

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