Wireless signal coverage method based on digital cluster

Abstract

The invention relates to the field of wireless signal coverage, and discloses a wireless signal coverage method based on a digital cluster, which comprises the following steps: S1, acquiring remote sensing image data and corresponding DEM topographic data of an area needing signal coverage; s2, analyzing the influence of vegetation, buildings and terrains on wireless signals according to the remote sensing image data and DEM topographic data, and comprehensively obtaining an environmental influence coefficient; and S3, adjusting the wireless signal system according to the environmental influence coefficient and the actual condition. The wireless signal blind area is reduced, and the wireless signal coverage of the complex terrain area is optimized.

Description

Technical Field

[0001] The invention relates to the field of wireless signal coverage, and in particular to a wireless signal coverage method based on digital clusters. Background Art

[0002] The trunking communication system is a special dispatching mobile communication system that shares wireless channels. It uses the multi-channel sharing and dynamic channel allocation technology in modern communications, and has dispatching functions such as individual calls, group calls, and broadcast calls. It has the characteristics of fast call establishment, different user priorities, limited call time, remote killing and resurrection, etc. The voice coding and modulation methods of the digital trunking communication system all use digital technology, which greatly increases its confidentiality and anti-interference performance, and also speeds up the transmission of effective information. It is an irreplaceable communication method in the field of emergency and public safety.

[0003] The digital trunking system is a broadband wireless multimedia access system for key industry applications. It is a communication system established for the special service needs of government departments, government organizations, industry users, enterprises and institutions. It has important functions such as command, dispatch, and broadband multimedia data transmission. The digital trunking system is the research and development and industrialization of broadband multimedia wireless access systems for key industries such as the public security system. It can quickly deploy the network, ensure the transmission of important information, and quickly and effectively command and issue orders.

[0004] However, for enterprises located in hilly areas, due to the complex and changeable terrain, radio waves propagate along the line of sight path, and the undulating terrain will hinder communications. The traditional signal coverage method has some blind spots under the influence of hills and valleys. In addition, the wireless emergency communication command system involves various units, departments, restructured units, joint venture units, park management committees and other large companies, which usually have many departments and complex types of work. The original wireless intercom system based on digital clusters can only allocate a single group, and its functions cannot meet on-site needs. Summary of the invention

[0005] The present invention aims to provide a wireless signal coverage method based on digital clustering to reduce wireless signal blind areas and optimize wireless signal coverage in areas with complex terrain.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme:

[0007] A wireless signal coverage method based on digital clustering, comprising:

[0008] S1, obtaining remote sensing image data and corresponding DEM terrain data of the area to be covered by the signal;

[0009] S2, analyze the impact of vegetation, buildings and terrain on wireless signals based on remote sensing image data and DEM terrain data, and comprehensively obtain the environmental impact coefficient;

[0010] S3, adjust the wireless signal system according to the environmental impact coefficient and actual conditions.

[0011] The principles and advantages of this solution are: in actual application, download remote sensing image data and DEM terrain data from professional websites, and crop the above data to retain the part of the area that needs signal coverage. By interpreting and processing the above data, the type of regional vegetation is obtained, and the impact of the vegetation type on the wireless signal is analyzed according to the vegetation type. Similarly, the impact of buildings and terrain on the wireless signal is analyzed; remote sensing image data can reflect the geometric and physical characteristics of objects in space, and the above characteristics are quantified to obtain the environmental impact coefficient of the wireless signal. Then, the wireless signal system is adjusted according to the environmental impact coefficient and actual conditions to reduce wireless signal blind spots and optimize signals in areas with complex terrain.

[0012] Preferably, as an improvement, S2 comprises:

[0013] S21, interpret remote sensing image data, obtain vegetation types, and analyze the impact of vegetation on wireless signals;

[0014] S22, interpreting remote sensing image data, obtaining the shape and height of buildings, and analyzing the impact of buildings on wireless signals;

[0015] S23, combined with DEM terrain data, quantitatively analyzes the shielding of wireless signals by vegetation and buildings to obtain the environmental impact coefficient.

[0016] Technical effect: Different types of vegetation have different growth cycles, growth heights and sizes, all of which have an impact on wireless signals. Even the shape of leaves will affect whether the signal will be reflected or passed. Therefore, by interpreting vegetation and analyzing the impact of different vegetation on wireless signals, combined with DEM terrain data, we can accurately obtain the impact of dynamically changing vegetation on wireless signal transmission; buildings are relatively static, and their shape and height are the main factors affecting signal transmission. Therefore, combined with DEM terrain data, quantitative analysis can obtain the impact of buildings on wireless signals.

[0017] Preferably, as an improvement, in S21, vegetation types are extracted by a step-by-step hierarchical classification method.

[0018] Technical effect: According to the difficulty of separating the types of objects in the layer, from easy to difficult, different feature parameters and classification methods are selected for the spectral characteristics of the pre-classified objects, and information is extracted layer by layer. Corresponding templates are formulated to mask the extracted information from the image to eliminate its influence on the extraction of other types of objects, so that the remaining types on the image are fewer and fewer, and the separation of the next layer of objects is easier and easier. Finally, the results of layer-by-layer classification are superimposed into the final classification result. The hierarchical classification can select the best band combination for different classification targets, avoiding the contradiction between parameters that may be encountered when selecting feature parameters in the method of dividing multiple categories at one time.

[0019] Preferably, as an improvement, S23 includes obtaining the growth laws of various types of vegetation based on the obtained vegetation types, obtaining the shielding conditions of wireless signals by vegetation and buildings under DEM terrain data when the vegetation grows most vigorously based on the growth laws of various types of vegetation, and obtaining the environmental impact coefficient of the wireless signal based on the existing wireless signal system.

[0020] Technical effect: Most vegetation shows regular morphological changes with the change of seasons. Different vegetation types have different regularities of seasonal changes. Therefore, the vegetation is first classified, and then the growth of the total vegetation in the area is obtained according to the growth laws of various types of vegetation. In this way, the shielding of wireless signals by vegetation and buildings under DEM terrain data when the vegetation grows most vigorously is obtained. The environmental impact coefficient when the vegetation grows most vigorously is the environmental impact coefficient when the impact is the greatest. On this basis, the wireless signal system is adjusted to maximize the coverage of wireless signals.

[0021] Preferably, as an improvement, the method further includes S4, deploying a directional antenna group feed system to transmit and receive signals.

[0022] Technical effect: By deploying a directional antenna group to replace the previous omnidirectional antenna, the signal strength can be improved.

[0023] Preferably, as an improvement, the directional antenna group consists of 6 plate-shaped directional antennas, and the signal transmission and reception are composed of 3 plate-shaped directional antennas respectively. The signal transmitting end merges the base station signal through a three-in-one combiner for transmission, and the signal receiving end introduces the signal through a branching and merging kit for forwarding; the plate-shaped directional antenna is a 13dbi high-gain 120° plate-shaped directional antenna.

[0024] Technical effect: Directional antennas are generally used in communication systems with long communication distances, small coverage, large target density, and high frequency utilization. Through the directional antenna of the reflector, the gain can reach more than 20dB. Through three 120° plate-shaped directional antennas, it is possible to simulate an omnidirectional antenna in the horizontal direction, and at the same time, it is a beam with a certain width in the vertical direction, which can effectively solve the traditional omnidirectional antenna coverage blind spots and serious "darkness under the lamp" situation, and improve the base station signal coverage.

[0025] Preferably, as an improvement, the channel machine in the wireless signal system based on cluster communication performs voice transmission and reception by patrolling.

[0026] Technical effect: Through polling, calls can be prevented from always being on the same channel, ensuring that each channel has rest time, thereby extending the service life of the channel machine.

[0027] Preferably, as an improvement, in the wireless signal system based on trunking communication, the channel occupation is terminated for 3 seconds after the group call is completed.

[0028] Technical effect: In the prior art, the channel occupation is terminated for 15 seconds after the call is completed, which is a long time. It is modified to terminate the channel occupation for 3 seconds after the group call is completed, which can prevent the group in use from occupying the channel for too long when it is idle.

[0029] Preferably, as an improvement, the base station capacity is expanded to 20 carrier frequencies.

[0030] Technical effect: By expanding the capacity of base stations, the wireless signal strength can be increased. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 The figure is a flowchart of a wireless signal coverage method based on digital clustering. DETAILED DESCRIPTION

[0032] The following is further described in detail through specific implementation methods:

[0033] Embodiment 1

[0034] like Figure 1 As shown, a wireless signal coverage method based on digital clustering includes:

[0035] S1, obtain the remote sensing image data and corresponding DEM terrain data of the area to be covered by the signal; remote sensing image data reflects the complex of a specific geographical environment in a certain area. It is a combination of various geographical elements such as landforms, hydrology, vegetation, social ecology, etc. It is also a combination of the spatial resolution, temporal resolution, spectral resolution, and radiation resolution of the remote sensing information itself. Secondly, the geographical environment corresponding to the remote sensing data is complex, multi-layered, multi-element, with dynamic structure and obvious regional differences, and it changes constantly in time and space. DEM terrain data is a digital elevation model, which realizes the digital simulation of the ground terrain through limited terrain elevation data, and describes the spatial distribution of regional landforms through contour lines.

[0036] For enterprises located in hilly areas, due to the complex and changeable terrain, radio waves propagate along the line of sight path, and the undulating terrain will hinder communications. Traditional signal coverage methods have some blind spots due to the influence of hills and valleys, thus affecting the coverage of wireless signals. By obtaining remote sensing image data and corresponding DEM terrain data, the characteristics of terrain and surface cover can be accurately grasped in space and time series, thereby analyzing their impact on wireless signals, and then making targeted adjustments to improve the coverage efficiency of wireless signals.

[0037] S2, analyzing the impact of vegetation, buildings and terrain on wireless signals based on remote sensing image data and DEM terrain data, and comprehensively obtaining an environmental impact coefficient; S2 includes:

[0038] S21, interpret remote sensing image data, obtain vegetation types, and analyze the impact of vegetation on wireless signals; surface cover includes vegetation and buildings. Relatively speaking, vegetation is in a dynamic state of change. Different types of vegetation have different growth cycles, growth heights and volumes. However, all of these have an impact on wireless signals. Even the shape of leaves will affect whether the signal will be reflected or passed. Therefore, by interpreting vegetation and analyzing the impact of different vegetation on wireless signals, and finally combining DEM terrain data, the impact of dynamically changing vegetation on wireless signal transmission can be accurately obtained.

[0039] The interpretation method for extracting vegetation types is hierarchical classification. The basic idea is: according to the spectral characteristics of the objects on the image, start from analyzing the separability of the object types in each band and its combination, first divide the objects on the image into several first-level layers, each layer contains several types of objects, and then further divide them into different second-level layers and third-level layers. According to the difficulty of separating the object types in the layer, from easy to difficult, different feature parameters and classification methods are selected for the spectral characteristics of the pre-classified objects, and information is extracted layer by layer. The corresponding template is formulated to mask the extracted information from the image to eliminate its influence on the extraction of other types of objects, so that the remaining types on the image are less and less, and the separation of the next layer of objects is easier and easier. Finally, the results of layer-by-layer classification are superimposed into the final classification results. Hierarchical classification can select the best band combination for different classification targets, avoiding the contradiction between parameters encountered when selecting feature parameters in the method of dividing multiple categories at one time.

[0040] S22, interpreting remote sensing image data, obtaining the shape and height of buildings, and analyzing the impact of buildings on wireless signals;

[0041] Buildings are relatively static, and their shape and height are the main factors affecting signal transmission. Therefore, quantitative analysis combined with DEM terrain data can reveal the impact of buildings on wireless signals.

[0042] S23, combining the DEM terrain data, quantitatively analyzing the shielding of wireless signals by vegetation and buildings to obtain an environmental impact coefficient. The S23 includes obtaining the growth law of various types of vegetation according to the obtained vegetation types, obtaining the shielding of wireless signals by vegetation and buildings under the DEM terrain data when the vegetation grows most vigorously according to the growth law of various types of vegetation, and obtaining the environmental impact coefficient of the wireless signal based on the existing wireless signal system.

[0043] Most vegetation shows regular morphological changes with the change of seasons. Different vegetation types have different regularities of seasonal changes. Therefore, the vegetation is first classified, and then the growth of the total vegetation in the area is obtained according to the growth laws of various types of vegetation. In this way, the shielding of wireless signals by vegetation and buildings under DEM terrain data when the vegetation grows most vigorously is obtained. The environmental impact coefficient when the vegetation grows most vigorously is the environmental impact coefficient when the impact is the largest. On this basis, the wireless signal system can be adjusted to maximize the coverage of wireless signals.

[0044] The environmental impact coefficient refers to the ratio of the range where the wireless signal is blocked due to the influence of vegetation, buildings and terrain to the theoretical wireless signal coverage range without the above influencing factors.

[0045] S3, adjust the wireless signal system according to the environmental impact coefficient and actual conditions. In the wireless intercom system, the factors that affect the transmission distance and coverage of wireless signals include: the frequency band of the wireless device, the type of antenna used, the terrain of the system working area, and the size of the electromagnetic noise in the overall working area. According to the environmental impact coefficient, determine the terrain and geomorphic reasons that affect the coverage of wireless signals. Combined with the actual situation, conduct a feasibility assessment on the above factors in the area where the wireless signal is weak, and finally make adjustments to improve the coverage of the wireless signal.

[0046] Embodiment 2

[0047] It also includes S4, deploying a directional antenna group antenna feed system for signal transmission and reception. The directional antenna group is composed of 6 plate-shaped directional antennas, and the signal transmission and reception are composed of 3 plate-shaped directional antennas respectively. The signal transmitting end merges the base station signal through a three-in-one combiner for transmission, and the signal receiving end introduces the signal through a branching and merging kit for forwarding; the plate-shaped directional antenna is a 13dbi high-gain 120° plate-shaped directional antenna.

[0048] In the prior art, a 9dbi omnidirectional fiberglass antenna with a gain of the system standard configuration is used. The base station 20 is interconnected by IP through 8+8+4 carrier frequencies. Three pairs of fiberglass antennas are installed at three diagonal corners of the tower to receive and transmit frequencies and cover signals. The fixed frequency can only use a designated pair of transceiver antennas, and cannot cover signals in three directions. This solution replaces the high-gain plate antenna with a 13dbi gain antenna, and uses the transmitting end to fuse the base station signal through a three-in-one combiner for transmission. The signal receiving end introduces the signal through a branching and merging kit for forwarding, which solves the problem of fixed frequency coverage and can achieve all-round signal coverage.

[0049] Directional antennas are generally used in communication systems with long communication distances, small coverage, large target density, and high frequency utilization. Through the directional antenna of the reflector, the gain can reach more than 20dB. Through three 120° plate-shaped directional antennas, it is possible to simulate an omnidirectional antenna in the horizontal direction, and at the same time, it can show a beam with a certain width in the vertical direction, which can effectively solve the traditional omnidirectional antenna coverage blind area and the serious "darkness under the lamp" situation, and improve the base station signal coverage.

[0050] The transmitting and receiving antennas are deployed on the upper and lower floors of the tower, increasing the isolation in the vertical and horizontal directions to minimize signal interference. In the vertical range, the directional antenna is mechanically tilted downward to improve the utilization efficiency of the main lobe of the beam, which is manifested as a beam with a certain width in the vertical direction. Like the omnidirectional antenna, the smaller the lobe width, the greater the gain, and the ideal signal coverage is obtained. In the horizontal direction, three directional antennas are used to simulate an omnidirectional antenna to achieve radiation in a certain angle range in the horizontal direction, which is usually called directivity.

[0051] For large companies whose wireless emergency communication command systems involve various units, departments, restructured units, joint venture units, park management committees, etc., there are many departments and complex types of work. The original wireless intercom system based on digital clusters can only be assigned to a single group and its functions cannot meet on-site needs.

[0052] In this embodiment, the group management is also optimized, and the groups are grouped according to companies, units, regions, devices, professions, etc., to improve the efficiency of system use, give full play to the performance of base stations, and the channel machine patrols for voice transmission and reception, which can also shorten the service life of the channel machine. According to the actual usage, the channel occupation setting is maintained for 3 seconds after the group call is completed to prevent unused groups from being occupied. Different functional permissions are set for different groups, and participation responses are set for important communication groups such as emergency communication groups; the call permissions can be set, and functions such as forced insertion can be set for different levels. Single call and group call can be set for call category functions.

[0053] The construction of the digital trunking system also includes the establishment of the MSO core network master and backup, the expansion of base stations to 20 carrier frequencies, the networking of near-end and remote-end equipment, and the networking and debugging of network management, recording, and dispatching on-site equipment.

[0054] The MSO core network includes switching control server equipment, IP bearer equipment, media format conversion unit (MTU), network management subsystem, scheduling subsystem and various Internet gateway equipment. It mainly realizes the interconnection and exchange between various network elements within the system, manages the collaborative work between different network elements, and thus realizes the processing of cross-base station and cross-system call control and media voice exchange, as well as user mobility management, authentication, scheduling, network management, interconnection and other network functions.

[0055] The base station equipment includes power modules, channel machines, Ethernet switches, splitters, combiners, strippers, and near-end machines. The network management system can view the on-site operation of base station equipment, alarm information early warning, user and group information management, and frequency writing information management. The remote equipment is distributed in explosion-proof rooms and command halls with weak coverage, and the remote information is transmitted back to the near-end machine through independent optical fibers for information processing and distribution.

[0056] The above is only an embodiment of the present invention, and the common knowledge such as the known specific technical solutions and / or characteristics in the solution is not described in detail here. It should be pointed out that for those skilled in the art, without departing from the technical solution of the present invention, several modifications and improvements can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A wireless signal coverage method based on digital clustering, characterized in that: include: S1, obtaining remote sensing image data and corresponding DEM terrain data of the area to be covered by the signal; S2, analyze the impact of vegetation, buildings and terrain on wireless signals based on remote sensing image data and DEM terrain data, and comprehensively obtain the environmental impact coefficient; S3, adjust the wireless signal system according to the environmental impact coefficient and actual conditions.

2. According to claim 1, a wireless signal coverage method based on digital clustering is characterized in that: The S2 comprises: S21, interpret remote sensing image data, obtain vegetation types, and analyze the impact of vegetation on wireless signals; S22, interpreting remote sensing image data, obtaining the shape and height of buildings, and analyzing the impact of buildings on wireless signals; S23, combined with DEM terrain data, quantitatively analyzes the shielding of wireless signals by vegetation and buildings to obtain the environmental impact coefficient.

3. The wireless signal coverage method based on digital cluster according to claim 2 is characterized in that: In S21, vegetation types are extracted by a step-by-step hierarchical classification method.

4. The wireless signal coverage method based on digital cluster according to claim 2, characterized in that: The S23 includes obtaining the growth law of each type of vegetation according to the obtained vegetation type, obtaining the shielding of wireless signals by vegetation and buildings under DEM terrain data when the vegetation grows most vigorously according to the growth law of each type of vegetation, and obtaining the environmental impact coefficient of the wireless signal based on the existing wireless signal system.

5. The wireless signal coverage method based on digital cluster according to claim 1, characterized in that: It also includes S4, deploying a directional antenna group feed system to transmit and receive signals.

6. The wireless signal coverage method based on digital cluster according to claim 5, characterized in that: The directional antenna group is composed of 6 plate-shaped directional antennas, and the signal transmission and reception are composed of 3 plate-shaped directional antennas respectively. The signal transmitting end combines the base station signal through a three-in-one combiner for transmission, and the signal receiving end introduces the signal through a split-and-combiner kit for forwarding; The plate-shaped directional antenna is a 13dbi high-gain 120° plate-shaped directional antenna.

7. The wireless signal coverage method based on digital cluster according to claim 1, characterized in that: The channel machine in the wireless signal system based on cluster communication transmits and receives voice through patrolling.

8. The wireless signal coverage method based on digital cluster according to claim 1, characterized in that: In a wireless signal system based on trunking communication, the channel occupation ends after the group call is completed for 3 seconds.

9. The wireless signal coverage method based on digital cluster according to claim 1, characterized in that: Expand the base station capacity to 20 carrier frequencies.

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