System and method for enhancing signal coverage of parking lot

Abstract

The invention provides a system and method for enhancing signal coverage of a parking lot, and relates to the field of wireless communication, and the method comprises the steps: obtaining signal test data of the parking lot; installing a plurality of signal coverage devices based on the signal test data and the structure information of the parking lot; acquiring real-time user distribution information of the parking lot; based on the real-time user distribution information, the signal distribution strategy and equipment parameters of the plurality of signal coverage equipment are adjusted in real time, and the method has the advantage of improving the strength and quality of mobile communication signals in the parking lot.

Description

Technical Field

[0001] The present invention relates to the field of wireless communications, and in particular to a system and method for enhancing parking lot signal coverage. Background Art

[0002] In modern cities, parking lots are important infrastructure, and their signal coverage has always been a technical problem. Existing mobile communication networks often have problems such as weak signals and uneven coverage in multi-storey or underground parking lots, which makes it difficult for users to use their mobile devices normally in these areas.

[0003] Existing solutions, such as adding macro base stations or using simple signal amplifiers, can improve signal quality to a certain extent, but they have disadvantages such as high cost, high energy consumption, and unsatisfactory coverage. In recent years, with the development of the Internet of Things and intelligent transportation, the demand for high-quality signal coverage in parking lots has become increasingly urgent. However, existing technical means are difficult to achieve efficient and stable signal coverage in complex environments, and lack intelligent energy consumption management mechanisms, resulting in serious energy waste.

[0004] Therefore, it is necessary to provide a system and method for enhancing parking lot signal coverage, so as to improve the strength and quality of mobile communication signals in the parking lot. Summary of the invention

[0005] The present invention provides a method for enhancing the signal coverage of a parking lot, comprising: obtaining signal test data of the parking lot; installing a plurality of signal coverage devices based on the signal test data and structural information of the parking lot; obtaining real-time user distribution information of the parking lot; and adjusting the signal allocation strategies and device parameters of the plurality of signal coverage devices in real time based on the real-time user distribution information.

[0006] Furthermore, the signal test data of the parking lot includes signal strength test data of multiple test locations of the parking lot; based on the signal test data and structural information of the parking lot, multiple signal coverage devices are installed, including: determining the type of the signal coverage device according to the structural information of the parking lot; determining multiple device installation locations according to the signal strength test data of multiple test areas of the parking lot; and installing the multiple signal coverage devices according to the type of the signal coverage device and the multiple device installation locations.

[0007] Furthermore, obtaining real-time user distribution information of the parking lot includes: installing multiple indoor positioning devices in the parking lot; interacting with the user's mobile device through the multiple positioning devices to obtain the real-time location of the user's mobile device; determining the real-time number of the user's mobile devices; determining the operation trajectory of the user's mobile device based on the real-time location of the user's mobile device at multiple time points; for each time point, clustering the users based on the real-time location of the user's mobile device at the time point to determine the user area distribution information at the time point; generating user dynamic distribution information based on the operation trajectory of the user's mobile device and the user area distribution information at multiple time points.

[0008] Furthermore, based on the real-time user distribution information, the signal allocation strategies and equipment parameters of the multiple signal coverage devices are adjusted in real time, including: predicting the future signal demand of the parking lot; determining the signal allocation strategy of the multiple signal coverage devices based on the future signal demand of the parking lot and the user dynamic distribution information; adjusting the signal transmission direction of the multiple signal coverage devices in real time according to the signal allocation strategy of the multiple signal coverage devices; collecting signal strength information of multiple areas of the parking lot; and adjusting the signal power of the multiple signal coverage devices in real time based on the signal strength information of multiple areas of the parking lot, wherein the equipment parameters include at least the signal transmission direction and the signal power.

[0009] Further, predicting the future signal demand of the parking lot includes: constructing a signal demand prediction model; predicting the future signal demand of the parking lot according to the user dynamic distribution information through the signal demand prediction model, and the signal demand prediction model is: t =φ1X t-1 +φ2X t-2 +…+φ p X t-p +∈ t +θ1∈ t-1 +…+θ q ∈ t-q , where X t is the signal demand at the tth time point, X t-1 is the signal demand at the t-1th time point, X t-2 is the signal demand at the t-2th time point, X t-p is the signal demand at the tpth time point, ∈ t is the white noise at the tth time point, ∈ t-1 is the white noise at the t-1th time point, ∈ t-q is the white noise at the tqth time point, φ1, φ2 and φ p are the autoregressive coefficients, θ1 and θ q is the moving average coefficient.

[0010] Further, the signal transmission direction is determined based on the following formula, including: Among them, θ i is the signal transmission direction of the jth signal coverage device, (x i ,y i ) is the coordinate of the i-th mobile device assigned to the j-th signal coverage device, (x j ,y j ) is the coordinate of the j-th signal coverage device, arctan() is the inverse tangent function, and I is the total number of mobile devices assigned to the j-th signal coverage device.

[0011] Further, the signal power is determined based on the following formula, including: Among them, P i is the signal power of the jth signal coverage device, P base is the reference power, d i is the distance between the i-th mobile device assigned to the j-th signal coverage device and the j-th signal coverage device, d max is the maximum coverage distance, α is the path loss exponent, and max() is the maximum value operation.

[0012] Furthermore, based on the future signal demand of the parking lot and the dynamic distribution information of users, the signal allocation strategies of the multiple signal coverage devices are determined, including: constructing an energy consumption prediction model; generating multiple candidate signal allocation strategies based on the future signal demand of the parking lot and the dynamic distribution information of users; for each of the candidate signal allocation strategies, generating energy consumption information of each signal coverage device under the candidate signal allocation strategy through the energy consumption prediction model; and determining the signal allocation strategy from the multiple candidate signal allocation strategies based on the energy consumption information of each signal coverage device under the candidate signal allocation strategy.

[0013] Furthermore, the method also includes: acquiring real-time operating data of each of the signal coverage devices; and performing fault warning based on the real-time operating data of each of the signal coverage devices.

[0014] The present invention provides a system for enhancing the signal coverage of a parking lot, which is used to execute the above-mentioned method for enhancing the signal coverage of a parking lot, including: a signal testing module, which is used to obtain signal testing data of the parking lot; multiple signal coverage devices, which are installed in the parking lot based on the signal testing data and structural information of the parking lot; a real-time monitoring module, which is used to obtain real-time user distribution information of the parking lot; and a parameter adjustment module, which is used to adjust the signal allocation strategies and device parameters of the multiple signal coverage devices in real time based on the real-time user distribution information.

[0015] Compared with the prior art, the system and method for enhancing parking lot signal coverage provided by the present invention have at least the following features:

[0016] Beneficial effects:

[0017] 1. By adjusting the signal distribution strategy and equipment parameters of the signal coverage equipment in real time, this method can ensure that the signal strength in each area of ​​the parking lot is balanced and stable, and effectively avoid signal blind spots or weak signal areas. When using mobile communication devices, users can get a smooth and unimpeded experience whether they are making calls, surfing the Internet or using other data services. Adjusting signal coverage based on real-time user distribution information means more reasonable resource allocation. Increasing signal strength in crowded areas and appropriately reducing resource occupation in relatively open or sparsely populated areas ensures signal quality in key areas and avoids unnecessary waste of resources. It embodies the concept of smart parking lots and realizes intelligent management of signal coverage through automated monitoring and adjustment mechanisms. It reduces the need for manual intervention, improves management efficiency, and reduces operating costs.

[0018] 2. The type and installation location of the signal coverage equipment are determined by detailed signal test data and structural information to ensure the accuracy and effectiveness of signal coverage. The problem of signal blind spots or weak signal areas can be solved in a targeted manner to improve the signal quality of the entire parking lot. The signal distribution strategy and equipment parameters of the signal coverage equipment are adjusted according to the real-time user distribution information to achieve optimal resource allocation. The signal strength and coverage range are increased in areas with dense traffic, while the resource occupation is reduced in relatively open or sparsely populated areas, thereby improving the efficiency of resource utilization. By obtaining user distribution information in real time and adjusting the signal coverage strategy accordingly, this method has a high degree of dynamic adaptability. Regardless of how the user distribution changes, the signal coverage can be quickly responded and adjusted to ensure that users always have a good communication experience. The introduction of the signal demand prediction model can predict future signal demand in advance and provide a scientific basis for the adjustment of signal coverage equipment. This intelligent prediction and management method not only improves management efficiency, but also reduces operating costs. The signal transmission direction of the signal coverage equipment is determined by formula calculation, which can ensure that the signal accurately covers the target area and reduce signal waste and interference. This precise control method further improves the effect of signal coverage. According to the distance between the user and the signal coverage equipment and the path loss and other factors, the signal power can be adjusted in real time to ensure the uniform distribution and stability of the signal within the coverage area. This reasonable power adjustment method not only ensures the signal quality, but also avoids unnecessary energy waste. Through the above series of measures, users can get a stable and smooth communication experience in the parking lot. Whether making calls, surfing the Internet or using other data services, they can get good support. This effect of improving user experience and satisfaction helps to enhance users' trust and loyalty to the parking lot. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0020] Figure 1 is a flow chart of a method for enhancing parking lot signal coverage according to some embodiments of this specification;

[0021] Figure 2 It is a module schematic diagram of a system for enhancing parking lot signal coverage according to some embodiments of this specification.

[0022] Description of Figure Numbers:

[0023] 210. Signal testing module; 220. Signal coverage equipment; 230. Real-time monitoring module; 240. Parameter adjustment module. DETAILED DESCRIPTION

[0024] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of this specification. For ordinary technicians in this field, this specification can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0025] Figure 1 is a flow chart of a method for enhancing parking lot signal coverage according to some embodiments of this specification, such as Figure 1 As shown, a method for enhancing parking lot signal coverage may include the following steps.

[0026] Step 110, obtaining signal test data of the parking lot.

[0027] Specifically, the signal test data of the parking lot includes signal strength test data of multiple test locations in the parking lot.

[0028] As an example only, use professional equipment (such as a signal strength tester) to conduct detailed on-site surveys at key locations in the parking lot, such as entrances, exits, elevators, stairwells, and main passages on each floor, obtain signal strength test data at test locations in multiple parking lots, and determine signal blind spots and weak coverage areas.

[0029] Step 120: Install multiple signal coverage devices based on the signal test data and structural information of the parking lot.

[0030] Specifically include:

[0031] Determine the type of signal coverage equipment based on the structural information of the parking lot;

[0032] Determine multiple device installation locations based on signal strength test data from test areas in multiple parking lots;

[0033] Install multiple signal coverage devices according to the type of signal coverage devices and the installation locations of multiple devices.

[0034] Specifically, the signal coverage device can be a small base station or a signal repeater. Small base stations usually have independent signal transmission and reception functions and can cover a certain range of areas. Signal repeaters are mainly used to receive and amplify signals from existing base stations to extend the signal coverage range. During installation, it is necessary to ensure that the location of each small base station or signal repeater can cover the surrounding area to the maximum extent while avoiding signal overlap and interference.

[0035] In terms of equipment selection, select a small base station or signal repeater with appropriate power and frequency band according to the structural information of the parking lot (such as area, number of floors, structural complexity, etc.). For example, for a multi-story underground parking lot, you can choose a device that supports multiple frequency bands and high power to ensure that the signal can penetrate obstacles between floors. As an example only, for a multi-story underground parking lot, choose a signal coverage device that supports the 800MHz-2.6GHz frequency band and has a power of 20W.

[0036] As an example only, multiple device installation locations can be determined according to the following process:

[0037] S11. For each test location, preprocess the signal strength test data of the test location at multiple test time points, and calculate the signal strength mean and signal strength standard deviation of the test location based on the preprocessed signal strength test data of the test location at multiple test time points. Specifically, the preprocessing may include performing sliding window averaging processing on the collected signal strength test data of the test location at multiple test time points. For example, the window size is set to 10, and the signal strength data of the signal coverage device for 10 consecutive times are S1, S2, ..., S 10 , then the smoothed signal strength is: Among them, S t is the smoothed signal strength, S i is the i-th signal strength data;

[0038] S12. For each test position, a test position whose signal strength mean is less than a signal strength mean threshold and / or whose signal strength standard deviation is greater than a signal strength standard deviation threshold is taken as a position to be covered;

[0039] S13. For each position to be covered, performing variational modal decomposition on the signal strength test data of multiple test time points at the position to be covered to obtain multiple signal strength test data components corresponding to the position to be covered, and determining the center frequency, bandwidth and energy of each signal strength test data component corresponding to the position to be covered;

[0040] S14. For any two locations to be covered, calculate the signal strength similarity of the two locations to be covered according to the signal strength mean values, signal strength standard deviations, center frequencies, bandwidths, and energy of each signal strength test data component of the two locations to be covered;

[0041] S15, clustering the multiple positions to be covered according to the distance between any two positions to be covered by a hierarchical clustering algorithm to determine multiple first clusters of positions to be covered;

[0042] S16. For each first cluster of positions to be covered, cluster the positions to be covered included in the first cluster of positions to be covered according to the similarity of signal strengths of any two positions to be covered included in the first cluster of positions to be covered by a hierarchical clustering algorithm, and determine a plurality of second clusters of positions to be covered included in the first cluster of positions to be covered;

[0043] S17. For any two second clusters of positions to be covered, deduplicate the coverage ranges of the two second clusters of positions to be covered. For example, for two second clusters of positions to be covered A1 and A2, for the second cluster of positions to be covered A1, calculate the maximum distance between the positions to be covered included in the second cluster of positions to be covered and the cluster center of the second cluster of positions to be covered, determine a circular area as the coverage range of the second cluster of positions to be covered with the maximum distance as the radius and the cluster center of the second cluster of positions to be covered as the center of the circle, determine the coverage range of another second cluster of positions to be covered with reference to the above method, and divide the positions to be covered in the overlapping range of the coverage ranges of the two second clusters of positions to be covered into the second cluster of positions to be covered that contains fewer positions to be covered;

[0044] S18: Using the cluster center of the second to-be-covered location cluster after deduplication as the device installation location.

[0045] For example, the signal strength similarity of two locations to be covered can be calculated according to the following formula:

[0046]

[0047] Among them, S (e,f) is the signal strength similarity between the e-th position to be covered and the f-th position to be covered, a 11 、a 12 and a 13 is the weight, a 11 、a 12 and a13 Greater than 0, a 11 +a 12 +a 13 =1,P 11 and P 12 is the preset parameter, P 11 and P 12 Greater than 0, μ e is the mean signal strength of the e-th position to be covered, μ f is the mean signal strength of the fth position to be covered, σ e is the standard deviation of the signal strength at the e-th location to be covered, σ f is the standard deviation of the signal strength at the fth position to be covered, cos(A e ,A f ) is the signal strength test data component matrix A of the e-th position to be covered e and the signal strength test data component matrix A of the fth position to be covered f , a row vector of the signal strength test data component matrix includes the center frequency, bandwidth and energy of a signal strength test data component.

[0048] Step 130: Acquire real-time user distribution information of the parking lot.

[0049] Specifically include:

[0050] Install multiple indoor positioning devices in the parking lot, where the indoor positioning devices can be indoor positioning devices based on technologies such as Wi-Fi, Bluetooth Low Energy (BLE) or Ultra Wideband (UWB);

[0051] Interacting with the user's mobile device through multiple positioning devices to obtain the real-time location of the user's mobile device;

[0052] Determine the real-time number of a user's mobile devices;

[0053] Determine the running track of the user's mobile device based on the real-time location of the user's mobile device at multiple time points;

[0054] For each time point, cluster users according to the real-time locations of their mobile devices at the time point, and determine regional distribution information of users at the time point. For example, by using a K-means algorithm, cluster users according to the real-time locations of their mobile devices at the time point, and determine regional distribution information of users at the time point.

[0055] User dynamic distribution information is generated based on the running track of the user's mobile device and the user's regional distribution information at multiple time points.

[0056] For example, BLE beacons are deployed at key locations in the parking lot. The location is estimated by the received signal strength (RSSI) of the beacon signal received by the mobile device. BLE beacons are deployed at the entrance, exit, elevator, stairwell and main passages on each floor of the parking lot. Ensure that the beacons are evenly distributed and cover all areas. The application on the mobile device periodically sends location requests and receives signals from surrounding beacons. The precise coordinates of the mobile device are calculated by triangulation or multilateral measurement, combining the signal strength and the known beacon positions. As an example only, the device coordinates of the user's mobile device are calculated by triangulation. For example, the user's mobile device receives the signal strength of three beacons, RSSI1, RSSI2, and RSSI3. Based on the signal strength and beacon position, the coordinates (x, y) of the user's mobile device are calculated.

[0057] Specifically, users can be clustered according to the real-time location of their mobile devices at a point in time according to the following objective function:

[0058]

[0059] Among them, f(X1) is the objective function, n is the number of users, c1 is the first cluster center, c2 is the second cluster center, and c k is the kth cluster center, c j is the jth cluster center, x i is the position of the i-th user; j is greater than or equal to 1 and less than or equal to k.

[0060] Step 140: Based on the real-time user distribution information, adjust the signal allocation strategies and device parameters of the multiple signal coverage devices in real time.

[0061] Specifically include:

[0062] predict future signal needs in parking lots;

[0063] Based on the future signal demand of the parking lot and the dynamic distribution information of users, determine the signal allocation strategy of multiple signal coverage devices, for example, use an optimization algorithm (such as a genetic algorithm, a particle swarm algorithm, etc.) to solve the signal allocation strategy of multiple signal coverage devices based on the future signal demand of the parking lot and the dynamic distribution information of users;

[0064] According to the signal allocation strategy of multiple signal coverage devices, the signal transmission directions of multiple signal coverage devices are adjusted in real time, so that the signals of the signal coverage devices are accurately directed to the area where the allocated mobile devices are located;

[0065] Collect signal strength information in multiple areas of the parking lot;

[0066] Based on the signal strength information of multiple areas in the parking lot, the signal power of multiple signal coverage devices is adjusted in real time, where the device parameters include at least the signal transmission direction and signal power. Through the closed-loop control mechanism, the real-time and effectiveness of the signal allocation strategy are ensured, and the power of the base station is adjusted in real time to ensure the quality of signal coverage while minimizing energy consumption. A hierarchical adjustment strategy is adopted to adjust the power in stages according to the change in signal strength and the number of users, avoiding frequent and large adjustments. For example, if the signal strength changes by more than 10%, the power is adjusted by 5W; if the number of users changes by more than 20%, the power is adjusted by 3W.

[0067] Through the above steps, the location information of mobile devices can be monitored in real time, and the signal transmission direction and power of the base station can be dynamically adjusted to achieve accurate and efficient signal coverage, significantly improve the mobile communication experience in the parking lot, effectively reduce unnecessary energy consumption, achieve an efficient and energy-saving operation mode, and significantly improve the energy utilization efficiency of the parking lot.

[0068] Preferably, predicting future signal requirements of the parking lot includes:

[0069] Build a signal demand prediction model;

[0070] The signal demand prediction model is used to predict the future signal demand of the parking lot based on the user dynamic distribution information. The signal demand prediction model is:

[0071] X t =φ1X t-1 +φ2X t-2 +…+φ p X t-p +∈ t +θ1∈ t-1 +…+θ q ∈ t-q

[0072] Among them, X t is the signal demand at the tth time point, X t-1 is the signal demand at the t-1th time point, X t-2 is the signal demand at the t-2th time point, X t-p is the signal demand at the tpth time point, ∈ t is the white noise at the tth time point, ∈ t-1 is the white noise at the t-1th time point, ∈ t-q is the white noise at the tqth time point, φ1, φ2 and φ p are the autoregressive coefficients, θ1 and θ q is the moving average coefficient.

[0073] Preferably, the signal transmission direction is determined based on the following formula, including:

[0074]

[0075] Among them, θ i is the signal transmission direction of the jth signal coverage device, (x i ,y i ) is the coordinate of the i-th mobile device assigned to the j-th signal coverage device, x i is the horizontal coordinate of the i-th mobile device assigned to the j-th signal coverage device, y i is the ordinate of the i-th mobile device assigned to the j-th signal coverage device, (x j ,y j ) is the coordinate of the jth signal coverage device, x j is the horizontal coordinate of the jth signal coverage device, y j is the ordinate of the jth signal coverage device, arctan() is the inverse tangent function, and I is the total number of mobile devices assigned to the jth signal coverage device.

[0076] Preferably, the signal power is determined based on the following formula, including:

[0077]

[0078] Among them, P i is the signal power of the jth signal coverage device, P base is the reference power, d i is the distance between the i-th mobile device assigned to the j-th signal coverage device and the j-th signal coverage device, d max is the maximum coverage distance, α is the path loss exponent, and max() is the maximum value operation.

[0079] Preferably, based on the future signal demand of the parking lot and the dynamic distribution information of users, a signal allocation strategy for multiple signal coverage devices is determined, including:

[0080] Build energy consumption prediction model;

[0081] Based on the future signal demand of the parking lot and the user dynamic distribution information, a plurality of candidate signal allocation strategies are generated, wherein the candidate signal allocation strategies may include the application device allocated to each signal coverage device and the power of each signal coverage device;

[0082] For each candidate signal allocation strategy, the energy consumption information of each signal coverage device under the candidate signal allocation strategy is generated through the energy consumption prediction model;

[0083] According to the energy consumption information of each signal coverage device under the candidate signal allocation strategy, a signal allocation strategy is determined from multiple candidate signal allocation strategies.

[0084] Specifically, the energy consumption prediction model can be:

[0085] E(P)=αS(P)+βU(P)+γ,S min ≤S(P)≤S max , U min ≤U(P)≤U max

[0086] Where E(P) is the energy consumption under power P, α is the regression coefficient, β is the regression coefficient, s(P) is the signal strength under power P, U(P) is the number of users, γ is the regression coefficient, S min is the minimum signal strength constraint, S max is the maximum signal strength constraint, U min is the minimum constraint on the number of users, U max is the maximum constraint on the number of users.

[0087] Monitor the signal quality and energy consumption after adjustment in real time and collect feedback data. Use the feedback data to iteratively optimize the energy consumption prediction model to improve the accuracy of the energy consumption prediction model and the effectiveness of the adjustment strategy.

[0088] Specifically, for each candidate signal allocation strategy, the signal transmission direction of each signal coverage device when executing the candidate signal allocation strategy can be determined according to the candidate signal allocation strategy, and the signal transmission direction difference is calculated based on the signal transmission direction of each signal coverage device when executing the candidate signal allocation strategy and the current signal transmission direction.

[0089] According to the signal transmission direction difference of each signal coverage device under each candidate signal allocation strategy and the energy consumption information of each signal coverage device, the strategy priority value of the candidate signal allocation strategy is calculated, and the candidate signal allocation strategy with the largest strategy priority value is used as the signal allocation strategy.

[0090] For example, the strategy priority value of the candidate signal allocation strategy can be calculated according to the following formula:

[0091]

[0092] Among them, V g The strategy priority value of the strategy assigned to the g-th candidate signal, b 11 and b 12 is the preset weight, b 11 and b 12 Greater than 0, b 11 +b 12 =1, Δθ (j,g)is the difference in signal transmission direction of the jth signal coverage device under the gth candidate signal allocation strategy, J is the total number of signal coverage devices, E(P) (j,g) is the energy consumption information of the jth signal coverage device under the gth candidate signal allocation strategy, P 21 and P 22 is the preset parameter, P 21 and P 22 Greater than 0.

[0093] In some embodiments, a method for enhancing parking lot signal coverage may further include step 150, obtaining real-time operating data of each signal coverage device.

[0094] Specifically, the real-time operating data of the signal coverage equipment may include, but is not limited to, key indicators such as the base station's operating voltage, current, temperature, signal strength, and number of connected users.

[0095] In some embodiments, a method for enhancing parking lot signal coverage may further include step 160, performing fault warning based on real-time operating data of each signal coverage device.

[0096] Specifically, the real-time operation data of the collected signal coverage equipment is processed centrally, and algorithms such as data cleaning and anomaly detection are used to ensure the accuracy and completeness of the data. According to the preset rules and algorithms, possible faults of the signal coverage equipment are predicted and warned. The warning mechanism includes but is not limited to threshold warning, trend warning and pattern matching warning. Provide remote diagnosis and troubleshooting functions, and technical support personnel can remotely maintain the signal coverage equipment through the system. For example, when the temperature of the signal coverage equipment exceeds 70°C, an alarm is issued to warn of possible faults of the signal coverage equipment. The warning information is notified to the technical support personnel through the user interface.

[0097] The system is equipped with logging and backtracking functions to facilitate technicians to track the root cause of problems. It provides an intuitive user interface to display real-time monitoring data and warning information. The user interface supports multiple languages ​​and adaptive layouts to facilitate the use of different users. It adopts encrypted communication and authentication mechanisms to ensure the security of data transmission and system access control. It conducts security audits and vulnerability scans regularly to patch system vulnerabilities in a timely manner.

[0098] Figure 2 is a module schematic diagram of a system for enhancing parking lot signal coverage according to some embodiments of this specification, such as Figure 2 As shown, a system for enhancing parking lot signal coverage may include a signal testing module 210 , a device installation module 220 , a real-time monitoring module 230 and a parameter adjustment module 240 .

[0099] The signal testing module 210 may be used to obtain signal testing data of the parking lot;

[0100] A plurality of signal coverage devices 220 are installed in the parking lot based on the signal test data and structural information of the parking lot;

[0101] The real-time monitoring module 230 can be used to obtain real-time user distribution information of the parking lot;

[0102] The parameter adjustment module 240 may be used to adjust the signal allocation strategies and device parameters of multiple signal coverage devices in real time based on real-time user distribution information.

[0103] A system for enhancing parking lot signal coverage may be used to execute a method for enhancing parking lot signal coverage. For more description of a system for enhancing parking lot signal coverage, please refer to the related description of a method for enhancing parking lot signal coverage, which will not be repeated here.

[0104] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. A method for enhancing parking lot signal coverage, characterized in that: include: Get the signal test data of the parking lot; Based on the signal test data and structural information of the parking lot, installing a plurality of signal coverage devices; Obtaining real-time user distribution information of the parking lot; Based on the real-time user distribution information, the signal allocation strategies and device parameters of the multiple signal coverage devices are adjusted in real time.

2. A method for enhancing parking lot signal coverage according to claim 1, characterized in that: The signal test data of the parking lot includes signal strength test data of a plurality of test locations of the parking lot; Based on the signal test data and structural information of the parking lot, multiple signal coverage devices are installed, including: Determining the type of the signal coverage device according to the structural information of the parking lot; Determining multiple device installation locations based on signal strength test data of multiple test areas of the parking lot; The plurality of signal coverage devices are installed according to the types of the signal coverage devices and the installation locations of the plurality of devices.

3. A method for enhancing parking lot signal coverage according to claim 1 or 2, characterized in that: Acquiring real-time user distribution information of the parking lot, including: installing a plurality of indoor positioning devices in the parking lot; Acquire the real-time location of the user's mobile device by interacting with the user's mobile device through the multiple positioning devices; Determine the real-time number of a user's mobile devices; Determine the running track of the user's mobile device based on the real-time location of the user's mobile device at multiple time points; For each time point, clustering users according to the real-time location of their mobile devices at the time point, and determining regional distribution information of users at the time point; User dynamic distribution information is generated based on the running track of the user's mobile device and the user's regional distribution information at multiple time points.

4. The method for enhancing parking lot signal coverage according to claim 3, characterized in that: Based on the real-time user distribution information, the signal allocation strategies and device parameters of the plurality of signal coverage devices are adjusted in real time, including: predicting future signal requirements for said parking lot; Determining a signal allocation strategy for the plurality of signal coverage devices based on the future signal demand of the parking lot and the user dynamic distribution information; According to the signal allocation strategies of the multiple signal coverage devices, adjusting the signal transmission directions of the multiple signal coverage devices in real time; Collecting signal strength information of multiple areas of the parking lot; Based on the signal strength information of the multiple areas of the parking lot, the signal power of the multiple signal coverage devices is adjusted in real time, wherein the device parameters at least include the signal transmission direction and the signal power.

5. The method for enhancing parking lot signal coverage according to claim 4, characterized in that: Predicting future signal requirements for the parking lot, including: Build a signal demand prediction model; The future signal demand of the parking lot is predicted by the signal demand prediction model according to the user dynamic distribution information. The signal demand prediction model is: X t =φ1X t-1 +φ2X t-2 +…+φ p X t-p +∈ t +θ1∈ t-1 +…+θ q ∈ t-q Among them, X t is the signal demand at the tth time point, X t-1 is the signal demand at the t-1th time point, X t-2 is the signal demand at the t-2th time point, X t-p is the signal demand at the tpth time point, ∈ t is the white noise at the tth time point, ∈ t-1 is the white noise at the t-1th time point, ∈ t-q is the white noise at the tqth time point, φ1, φ2 and φ p are the autoregressive coefficients, θ1 and θ q is the moving average coefficient.

6. A method for enhancing parking lot signal coverage according to claim 4, characterized in that: The signal transmission direction is determined based on the following formula, including: Among them, θ i is the signal transmission direction of the jth signal coverage device, (x i ,y i ) is the coordinate of the i-th mobile device assigned to the j-th signal coverage device, (x j ,y j ) is the coordinate of the j-th signal coverage device, arctan() is the inverse tangent function, and I is the total number of mobile devices assigned to the j-th signal coverage device.

7. The method for enhancing parking lot signal coverage according to claim 4, characterized in that: The signal power is determined based on the following formula, including: Among them, P i is the signal power of the jth signal coverage device, P base is the reference power, d i is the distance between the i-th mobile device assigned to the j-th signal coverage device and the j-th signal coverage device, d max is the maximum coverage distance, α is the path loss exponent, and max() is the maximum value operation.

8. The method for enhancing parking lot signal coverage according to claim 4, characterized in that: Based on the future signal demand of the parking lot and the user dynamic distribution information, determining the signal allocation strategy of the plurality of signal coverage devices includes: Construct energy consumption prediction model; generating a plurality of candidate signal allocation strategies based on the future signal demand of the parking lot and the user dynamic distribution information; For each of the candidate signal allocation strategies, generating energy consumption information of each signal coverage device under the candidate signal allocation strategy through the energy consumption prediction model; The signal allocation strategy is determined from the multiple candidate signal allocation strategies according to the energy consumption information of each signal coverage device under the candidate signal allocation strategy.

9. A method for enhancing parking lot signal coverage according to claim 1 or 2, characterized in that: Also includes: Acquire real-time operation data of each of the signal coverage devices; Based on the real-time operating data of each signal coverage device, a fault warning is performed.

10. A system for enhancing parking lot signal coverage, characterized in that: A method for enhancing parking lot signal coverage according to any one of claims 1 to 9, comprising: A signal test module, used to obtain signal test data of the parking lot; A plurality of signal coverage devices are installed in the parking lot based on signal test data and structural information of the parking lot; A real-time monitoring module, used to obtain real-time user distribution information of the parking lot; The parameter adjustment module is used to adjust the signal allocation strategy and device parameters of the multiple signal coverage devices in real time based on the real-time user distribution information.

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