Interphone channel allocation optimization method and system based on signal intensity

Abstract

The invention belongs to the technical field of wireless communication, and particularly discloses an interphone channel allocation optimization method and system based on signal intensity, and the method comprises the steps: collecting an actual interference signal of an engineering site, achieving the efficient recognition of a novel interference mode, and remarkably improving the communication reliability in a complex environment; the method comprises the following steps: respectively executing a first channel allocation strategy and a second channel allocation strategy by determining an interference source type of an application engineering site to realize accurate allocation of channel resources in different interference scenes; a first channel allocation strategy including full-band channel switching and directional antenna beam adjustment is adopted, so that the communication continuity and reliability in a complex interference environment are effectively improved; the active channel switching mechanism is triggered by calculating the path signal consumption factor in combination with the signal shielding body information, and then the second channel allocation strategy is realized according to the service type, so that the communication quality and efficiency in a dynamic environment can be improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of wireless communication, and relates to a talkie channel allocation optimization method and system based on signal strength. BACKGROUND

[0002] In a complex engineering environment, talkie communication often faces interference signals generated by various industrial devices. These interference signals lead to a decline in channel quality and a reduction in communication reliability, thereby affecting the normal operation of the talkie system. Traditional channel allocation methods often fail to fully consider these dynamic interference factors, resulting in low communication efficiency and even communication interruption in some cases.

[0003] To address the above problems, traditional solutions often use fixed channel allocation or channel switching methods based on simple signal strength detection. These methods attempt to determine channel quality through pre-set rules or simple signal strength thresholds and accordingly allocate or switch channels. However, they ignore the dynamic nature of interference signals and the different effects of different interference sources on channel quality.

[0004] Traditional channel allocation methods fail to fully consider the diversity and dynamics of interference signals, making it difficult to achieve efficient channel allocation in complex engineering environments, especially in the presence of multiple interference sources and dynamic changes in interference sources. Traditional methods often fail to timely and accurately adjust talkie channel allocation strategies, thereby failing to effectively improve communication quality and reliability. Therefore, it is of great practical significance and application value to research a method that can dynamically optimize channel allocation based on interference signal characteristics. SUMMARY

[0005] To overcome the above-mentioned defects of the prior art and achieve the above-mentioned purpose, the application proposes the following technical solution: a talkie channel allocation optimization method based on signal strength, comprising the following contents: step 1, obtaining a plurality of industrial devices that generate interference signals in an engineering site, and constructing an extensible interference vector database.

[0006] Step 2, determining the type of interference source applied to the talkie sending end in the engineering site according to the input signal of the real-time environment perception of the talkie sending end, wherein the interference source type is divided into fixed direction interference source and dynamic direction interference source.

[0007] Step 3, for the fixed direction interference source, obtaining the corresponding direction vector and interference vector of the interference source applied to the talkie in the engineering site, predicting the channel interference coefficient of the talkie sending end relative to each receiving end, and executing a first channel allocation strategy.

[0008] Step 4: For dynamic azimuth interference sources, the path signal consumption factor is calculated by obtaining the three-dimensional coordinates and speed parameters of the mobile carrier corresponding to the walkie-talkie transmitting end, and the second channel allocation strategy is implemented in combination with the walkie-talkie application service type.

[0009] The second aspect of the present invention provides a signal strength-based walkie-talkie channel allocation optimization system, which includes the following contents: a database construction module, which obtains several industrial equipment with interference signals at the project site and constructs an expandable interference vector database.

[0010] The interference source type determination module determines the interference source type at the application engineering site of the walkie-talkie transmitter based on the input signal of the real-time environmental perception of the walkie-talkie transmitter. The interference source types are divided into fixed-position interference sources and dynamic-position interference sources.

[0011] The fixed-azimuth channel allocation module obtains the corresponding azimuth vector and interference vector of the interference source at the walkie-talkie application project site for the fixed-azimuth interference source, predicts the channel interference coefficient of the walkie-talkie transmitting end relative to each receiving end, and executes the first channel allocation strategy.

[0012] The dynamic azimuth channel allocation module calculates the path signal consumption factor for the dynamic azimuth interference source by obtaining the three-dimensional coordinates and speed parameters of the corresponding mobile carrier of the walkie-talkie transmitting end, and implements the second channel allocation strategy in combination with the walkie-talkie application service type.

[0013] Compared with the existing technology, the beneficial effects of the present invention are as follows: 1. The present invention collects actual interference signals at the engineering site and converts them into interference vectors in a unified format. Combined with the similarity comparison mechanism, the interference vector database is dynamically updated, thereby achieving efficient identification of new interference patterns and a significant improvement in communication reliability in complex environments.

[0014] 2. The present invention determines the types of interference sources at the walkie-talkie application engineering site, including fixed-position interference sources and dynamic-position interference sources, and respectively executes the first channel allocation strategy and the second channel allocation strategy, thereby achieving accurate allocation of channel resources under different interference scenarios, helping to reduce the impact of interference signals on communication quality, thereby improving the reliability and stability of communication.

[0015] 3. The present invention effectively improves the communication continuity, quality and reliability in complex interference environments by adopting a first channel allocation strategy that includes full-band channel switching and directional antenna beam adjustment.

[0016] 4. The present invention obtains the path signal consumption factor of the corresponding mobile carrier at the transmitter of the intercom and combines it with the signal obstruction information to achieve an accurate assessment of the degree of signal attenuation during dynamic propagation. When the attenuation degree index reaches the warning value, the active channel switching mechanism is triggered, and then channels of different priorities are allocated according to the service type to implement the second channel allocation strategy, which helps to improve the communication quality and efficiency in dynamic environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 The figure is a schematic flow chart of the steps for implementing the method of the present invention.

[0019] Figure 2 This is a schematic diagram of the system module connection of the present invention. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0021] Example 1

[0022] See also Figure 1 As shown, the present invention proposes a walkie-talkie channel allocation optimization method based on signal strength, which includes the following contents: Step 1, obtain several industrial equipment with interference signals at the project site, and build an expandable interference vector database. The industrial equipment includes but is not limited to power equipment (including motors / generators, etc.), high-frequency equipment (including welding units, industrial heating equipment, etc.), and the interference vector is composed of multiple interference characteristics corresponding to time domain feature parameters, frequency domain feature parameters and environment-related feature parameters.

[0023] The time domain characteristic parameters reflect the waveform characteristics of the device signal on the time axis, including interference characteristics such as peak amplitude and zero-crossing rate; the frequency domain characteristic parameters reflect the spectral energy distribution of the device vibration, including interference characteristics such as the main frequency component and harmonic energy ratio; the environment-related characteristic parameters reflect the device status parameters of the interference source, including interference characteristics such as temperature, vibration intensity, device model and operating time.

[0024] In a preferred embodiment, the construction of an expandable interference vector database is as follows: the newly collected interference signals at the engineering site are converted into interference vectors in a unified format, and the similarity is compared with the interference vectors pre-stored in the walkie-talkies. If the similarity is lower than the preset similarity threshold, the newly collected interference vectors are stored in an erasable memory and updated synchronously to the local databases of all walkie-talkies in real time to generate an interference vector database.

[0025] During the synchronous update process, adding or deleting interference vectors takes effect directly without restarting the device.

[0026] Specifically, the similarity comparison step includes: in the early stage of system deployment, collecting interference signal samples of typical industrial equipment through laboratory simulation or on-site measurement.

[0027] Integrate normalized numerical vectors from interference signals. For example, collect various interference features corresponding to the interference signal of an industrial device, including main frequency component, harmonic energy ratio, vibration intensity, etc., and use the Z-score normalization method to generate the corresponding standardized values ​​of the interference features in the interference signal. , the formula is ,in is the original signal data value, such as the original value of the main frequency component, μ is the average value of a certain interference feature in several initial sample sets, such as the average value of the main frequency component in several initial samples, and σ is the standard deviation of the interference feature in several initial sample sets, ensuring that features of different dimensions are comparable, thereby forming an initial database containing multiple interference vectors, and one interference vector corresponds to the corresponding standardized values ​​of multiple interference features.

[0028] By collecting new interference signals at the engineering site, a new feature vector is generated and compared with the interference vector pre-stored in the initial database. Cosine similarity is used as the core measurement method. The calculation formula is as follows: Similarity ,in is the new interference vector, is a certain interference vector in the initial database, is the number of multiple interference features, , n is the feature dimension.

[0029] Traverse all pre-stored interference vectors in the initial database and calculate the similarity between the new interference vector and all pre-stored interference vectors in turn; preset a similarity threshold, such as 0.85. If the similarity comparison results between the new interference vector and all pre-stored interference vectors are lower than the similarity threshold, the new interference vector is determined to be added to the initial database; if the similarity between the new interference vector and multiple pre-stored interference vectors is not lower than the similarity threshold, the one with the highest similarity is taken and marked as "suspected known interference" and requires manual review.

[0030] The effective effect of this embodiment is that by collecting actual interference signals at the engineering site and converting them into interference vectors in a unified format, combining a similarity comparison mechanism, and dynamically updating the interference vector database, it achieves efficient identification of new interference patterns and significantly improves communication reliability in complex environments, providing a solid data basis for subsequent dynamic optimization of channel allocation strategies.

[0031] Step 2: Determine the type of interference source at the application engineering site of the walkie-talkie transmitter based on the input signal of the real-time environmental perception of the walkie-talkie transmitter. The interference source type is divided into fixed-position interference source and dynamic-position interference source.

[0032] In a preferred embodiment, the type of interference source at the application engineering site of the walkie-talkie transmitting terminal is determined based on the input signal of the real-time environmental perception of the walkie-talkie transmitting terminal, wherein: the input signal includes the three-dimensional coordinates of the walkie-talkie transmitting terminal, the moving speed and the communication distance with each receiving terminal. The three-dimensional coordinates usually adopt a rectangular coordinate system, such as a Cartesian coordinate system, with the center position of the digital map of the engineering site as the coordinate origin, and the three coordinate axes X, Y, and Z respectively represent three mutually perpendicular directions in space. The X-axis and Y-axis constitute a horizontal plane, the Z-axis is perpendicular to the horizontal plane, and the upward direction is the positive direction.

[0033] If the three-dimensional coordinate offset of multiple consecutive time stamps is less than the set offset threshold, it is determined that the interference source type at the application engineering site of the walkie-talkie transmitter is a fixed-position interference source.

[0034] If the moving speed of multiple consecutive time stamps exceeds the preset baseline speed, it is determined to be a dynamic azimuth interference source.

[0035] Step 3: For fixed-position interference sources, obtain the corresponding azimuth vector and interference vector of the interference source at the walkie-talkie application project site, predict the channel interference coefficient of the walkie-talkie transmitter relative to each receiving end, and execute the first channel allocation strategy; In a preferred embodiment, the method of obtaining the corresponding azimuth vector and interference vector of the interference source at the walkie-talkie application engineering site and predicting the channel interference coefficient of the walkie-talkie transmitter relative to each receiving end includes: marking the communication area between the walkie-talkie transmitter and each receiving end in a digital map of the engineering site, marking the industrial equipment with interference signals in each communication area, and recording them as interference sources in the corresponding communication area.

[0036] The communication area refers to the signal transmission range on the corresponding communication path between the transmitter and the receiver of the walkie-talkie, and its range boundary is dynamically defined by the communication path and the preset distance.

[0037] The interference vector of the interference source in each communication area is extracted from the interference vector database. Specifically, when an industrial device in a communication area matches an industrial device in the interference vector database, the interference vector corresponding to the industrial device is extracted from the interference vector database.

[0038] Mark the position of the interference source in each communication area and construct the azimuth vector between it and the transmitter of the walkie-talkie. The azimuth vector covers the distance feature and the azimuth feature. The distance feature refers to the distance between the interference source and the center point of the communication area, and the azimuth feature refers to the angle between the pointing path of the interference source relative to the receiving end and the communication path of the transmitter relative to the receiving end.

[0039] Based on the azimuth vector and the interference vector, the channel interference coefficient of the walkie-talkie transmitter relative to each receiver is predicted.

[0040] Specifically, the real-time receiving power of the intercom receiver is established through the Friis transmission equation , Real-time transmission power of the walkie-talkie transmitter , the relationship between the transmitting antenna gain Gt, the receiving antenna gain Gr, the wavelength λ and the distance characteristic d: ,exist Under the assumption that The Friis transmission equation is a commonly used formula in the field of wireless communications and helps to accurately evaluate channel quality.

[0041] By formula , calculate the path loss factor , where the path loss factor is the logarithmic value of the ratio of transmit power to receive power, which is used to describe the attenuation of the signal during transmission. "10" is the key coefficient used to convert the ratio of path loss into a value in decibels (dB).

[0042] The interference vector of the interference source is recorded as , calculate the interference contribution parameters of a single interference source ,in is the modulus of the interference vector, indicating the overall strength of the interference signal, is the orientation feature, is the orientation adjustment function, , when the interference source is facing the receiving end = 0, the interference contribution is the largest; when the interference source is on the side or back, =90° or 180°, the interference contribution is reduced.

[0043] The Friis transmission equation, path loss factor, and corresponding calculation methods of the interference contribution parameters are all existing technologies, and the technical means are relatively mature, so they will not be repeated here.

[0044] The channel interference coefficients of all interference sources in the communication area are summed to obtain the channel interference coefficient of the walkie-talkie transmitter relative to the receiving end belonging to the communication area, thereby generating the channel interference coefficient of the walkie-talkie transmitter relative to each receiving end.

[0045] It should be noted that each interference feature in the interference vector has a positive impact on the channel interference coefficient: for the time domain characteristic parameters, the peak amplitude reflects the maximum intensity of the device signal on the time axis. A high peak amplitude may lead to stronger signal interference, thereby increasing the channel interference coefficient; the zero-crossing rate indicates the frequency of the signal crossing the zero point. An excessively high zero-crossing rate may mean increased signal instability, and may also have a positive impact on the channel interference coefficient.

[0046] For frequency domain characteristic parameters, the main frequency component reflects the main frequency component of the device signal. If the main frequency component is close to the communication frequency of the walkie-talkie, the interference will be stronger, resulting in an increase in the channel interference coefficient; the proportion of harmonic energy will increase the complexity of the signal, thereby enhancing signal interference and having a positive impact on the channel interference coefficient.

[0047] For environmental-related characteristic parameters, high temperature may affect the performance of the device's electronic components, thereby affecting signal quality and indirectly increasing the channel interference coefficient; when the vibration intensity is strong, it may cause changes in the device's physical structure, affecting signal transmission, thereby affecting the channel interference coefficient; devices of different models and operating time may generate interference signals of different intensities, thereby affecting the channel interference coefficient.

[0048] In a further preferred embodiment, the predicted channel interference coefficient of the walkie-talkie transmitting end relative to each receiving end further includes: real-time acquisition of the signal strength of each receiving end, and comparison with the expected value, if the deviation exceeds the set deviation threshold, triggering the interference vector correction mechanism.

[0049] The specific content of the interference vector correction mechanism is as follows: collecting the current interference vector in the corresponding communication area of ​​the receiving end, retrieving the pre-stored interference vector related to the current interference vector from the pre-built interference vector database for comparison, and calculating the corresponding eigenvalue deviation of each interference feature and the overall vector deviation; if the corresponding eigenvalue deviation of any interference feature exceeds the preset deviation threshold of the corresponding interference feature, the real-time collected interference vector is updated to the interference vector database to replace or supplement the original pre-stored interference vector; if the overall vector deviation exceeds the preset vector deviation baseline value, a manual review request is introduced to confirm and verify the corrected interference vector.

[0050] In a further preferred embodiment, the corresponding steps of executing the first channel allocation strategy are as follows: when the channel interference coefficient of any receiving end exceeds a preset threshold, the full-band channel switching mechanism is triggered, and the full-band channel switching mechanism includes the synchronous execution of the forward link calibration unit and the backward link buffer unit to ensure the smooth progress of the channel switching and minimize the impact of communication interruption.

[0051] The forward link calibration unit calibrates the corresponding channel allocation of each receiving end according to the interference source azimuth vector, including: based on the channel interference coefficient of the walkie-talkie transmitting end relative to each receiving end, screening out the high-frequency interference source position in the corresponding communication area of ​​each receiving end, and then triggering directional antenna beam adjustment.

[0052] Specifically, different interference contribution parameters are divided into different color gradients, and the darker the color, the stronger the interference, that is, the larger the interference contribution parameter; according to the interference contribution parameter of each interference source, a heat map of the communication area is generated, and the heat map intuitively represents the distribution and interference intensity of interference sources in different communication areas through color gradients; an interference contribution threshold is set, and the interference source position exceeding the interference contribution threshold in the heat map is marked as a high-frequency interference source position.

[0053] The backward link buffer unit is used to temporarily store unprocessed data packets at the receiving end before channel switching, and retransmit them in sequence after the switching is completed to prevent data loss. It includes: immediately starting data caching after the channel switching instruction is issued, and enabling redundant data packet backup if the switching delay exceeds a preset delay threshold.

[0054] The present invention effectively improves the continuity, quality and reliability of communications in complex interference environments by adopting a first channel allocation strategy including full-band channel switching and directional antenna beam adjustment.

[0055] In a further preferred embodiment, the triggering of directional antenna beam adjustment includes: adjusting the pointing angle and width of the walkie-talkie transmitting antenna by referring to the beamforming algorithm in the prior art according to the position of the walkie-talkie receiving end and the position of the high-frequency interference source, so as to adjust the coverage range of the walkie-talkie transmitting antenna beam.

[0056] The beamforming algorithm is essentially a spatial filtering technology that precisely controls the signal amplitude and phase of each antenna unit in the antenna array, so that the antenna beam forms high-gain radiation in a specific direction and low-gain radiation in other directions, thereby achieving precise control of the signal transmission direction and effective suppression of interference signals. For example, in a walkie-talkie communication scenario, the main goal of the beamforming algorithm is to optimize the direction and shape of the antenna beam at the transmitter end of the walkie-talkie, so that the signal emitted by the antenna at the transmitter end of the walkie-talkie can accurately cover the position of the receiver end, while avoiding high-frequency interference sources as much as possible, thereby improving communication quality, reducing the impact of interference, and enhancing the reliability and stability of communication, thereby achieving the best interference avoidance effect. The existing technology is relatively mature and will not be elaborated here.

[0057] Adjusting the pointing angle of the antenna at the transmitter end of the walkie-talkie can make the coverage direction of the beam deviate from the position of the high-frequency interference source, which helps to reduce the radiation of the antenna to the position of the high-frequency interference source, thereby reducing the impact of interference on communication quality.

[0058] Adjusting the width of the antenna at the transmitter end of the intercom can further reduce the coverage of the high-frequency interference source location and improve the reliability of communication.

[0059] Step 4: For dynamic azimuth interference sources, the path signal consumption factor is calculated by obtaining the three-dimensional coordinates and speed parameters of the mobile carrier corresponding to the walkie-talkie transmitting end, and the second channel allocation strategy is implemented in combination with the walkie-talkie application service type.

[0060] In a preferred embodiment, the method of calculating the path signal consumption factor by obtaining the three-dimensional coordinates and speed parameters of the mobile carrier corresponding to the walkie-talkie transmitting end includes: dividing the project site into three-dimensional grids, each three-dimensional grid representing a specific spatial position.

[0061] In each three-dimensional grid, the signal strength data of the corresponding spatial position is determined and stored based on the interference vector of the corresponding industrial equipment in each spatial position in the interference vector database. This allows us to intuitively understand the communication quality of the walkie-talkie at different spatial positions. The stronger the signal strength, the better the communication quality and the higher the reliability of the signal transmission.

[0062] The signal strength data is specifically obtained by: obtaining the interference vector of the corresponding industrial equipment at each spatial position Model , and obtain the expected signal strength of the intercom transmitter , integrate the signal strength data of the corresponding spatial position , where the larger the modulus of the interference vector of the industrial equipment, the greater the difference between the actual signal strength data of the corresponding spatial position and the expected signal strength, which in turn leads to smaller signal strength data at the corresponding spatial position.

[0063] Using GPS positioning technology, the position of the mobile carrier corresponding to the walkie-talkie transmitter is obtained in real time, and its speed parameters, including speed magnitude and direction, are obtained, based on which its movement path is predicted based on the inertial measurement unit.

[0064] In this invention, an inertial measurement unit (IMU) collects real-time acceleration and angular velocity data from the transmitter's carrier. Combined with the carrier's initial position coordinates, it uses a dead reckoning algorithm to predict the carrier's trajectory within a preset timeframe. This technique is well-established in the prior art and will not be further elaborated here. This path prediction is used to map signal strength data at corresponding spatial locations, providing a dynamic spatial sampling basis for calculating the path signal loss factor.

[0065] The corresponding linear ratios of signal strength data at consecutive spatial positions on the moving path are calculated and averaged to generate a path signal consumption factor that reflects the spatial attenuation characteristics of the signal. This factor reflects the degree of signal attenuation during movement and provides a quantitative decision-making basis for dynamic channel allocation.

[0066] The linear ratio is specifically the signal strength data of the latter position divided by the signal strength data of the previous position. For example, the first ratio is the signal strength data of the second position (8 units) divided by the signal strength data of the first position (10 units), which is 0.8; the second ratio is the signal strength data of the third position (5 units) divided by the signal strength data of the second position (8 units), which is 0.625.

[0067] These ratios reflect the relative attenuation of the signal between adjacent spatial locations. A ratio less than 1 indicates weakening signal strength, while a ratio closer to 0 indicates increased attenuation. Because signal attenuation along a moving path may not be completely uniform, averaging multiple adjacent ratios more accurately reflects the average signal attenuation along the entire path.

[0068] As the corresponding mobile carrier of the walkie-talkie transmitter moves, its position coordinates and speed parameters are updated in real time, and the path signal consumption factor is recalculated to ensure the accuracy of the prediction.

[0069] In a further preferred embodiment, the step of executing the second channel allocation strategy includes: marking signal obstructions on a digital map of the project site, wherein the signal obstructions include buildings, large equipment, etc., obtaining the real-time coordinates of the corresponding mobile carrier of the intercom transmitter and the straight-line distance between each signal obstruction. , combined with the path signal consumption factor , calculate the attenuation index of the signal during the dynamic propagation process at the transmitter of the intercom ,in , is the number of each signal obstruction body, It is the minimum value of the straight-line distance between the real-time coordinates and each signal obstruction, reflecting the distance between the current position of the mobile carrier and the nearest signal obstruction. The smaller the value, the closer the mobile carrier is to the signal obstruction, and the greater the possibility of signal obstruction. It is a preset reference distance used as a reference benchmark to measure the relative degree of signal attenuation. The larger the R value is, the greater the loss suffered by the signal during propagation, and the attenuation index will also increase accordingly.

[0070] Set the warning value of the attenuation index. When the attenuation index is close to a signal obstruction for a period of time that reaches the warning value, the active channel switching mechanism is triggered.

[0071] The active channel switching mechanism includes: dividing the walkie-talkie into different priorities according to its application business type. The equipment business type is divided into command and dispatch type and inspection type. The command and dispatch type is allocated a high-priority channel with reserved bandwidth to ensure its unimpeded communication; the inspection type is allocated a sub-priority channel with error correction capability to meet its relatively flexible communication needs.

[0072] The effective effect of this embodiment is that by obtaining the path signal consumption factor of the corresponding mobile carrier of the walkie-talkie transmitting end and combining it with the signal obstruction body information, an accurate assessment of the degree of signal attenuation during dynamic propagation is achieved. When the attenuation degree index reaches the warning value, the active channel switching mechanism is triggered, and then channels of different priorities are allocated according to the business type to implement the second channel allocation strategy, which helps to improve the communication quality and efficiency in a dynamic environment.

[0073] The present invention determines the types of interference sources at the walkie-talkie application engineering site, including fixed-position interference sources and dynamic-position interference sources, and respectively executes a first channel allocation strategy and a second channel allocation strategy, thereby achieving precise allocation of channel resources in different interference scenarios, helping to reduce the impact of interference signals on communication quality, thereby improving the reliability and stability of communication.

[0074] Example 2

[0075] See also Figure 2 As shown, based on the first embodiment, the second aspect of the present invention provides a system including: a database construction module, an interference source type determination module, a fixed azimuth channel allocation module, and a dynamic azimuth channel allocation module.

[0076] The database construction module is connected to the interference source type determination module, and the interference source type determination module is respectively connected to the fixed azimuth channel allocation module and the dynamic azimuth channel allocation module.

[0077] The database construction module obtains a number of industrial devices with interference signals at the engineering site and constructs an expandable interference vector database.

[0078] The interference source type determination module determines the interference source type at the application engineering site of the intercom transmitter according to the input signal of the intercom transmitter's real-time environmental perception. The interference source types are divided into fixed-position interference sources and dynamic-position interference sources.

[0079] The fixed-azimuth channel allocation module obtains the corresponding azimuth vector and interference vector of the interference source at the walkie-talkie application project site for the fixed-azimuth interference source, predicts the channel interference coefficient of the walkie-talkie transmitting end relative to each receiving end, and executes the first channel allocation strategy.

[0080] The dynamic azimuth channel allocation module calculates the path signal consumption factor for the dynamic azimuth interference source by obtaining the three-dimensional coordinates and speed parameters of the mobile carrier corresponding to the walkie-talkie transmitting end, and executes the second channel allocation strategy in combination with the walkie-talkie application service type.

[0081] It should be noted that the formulas described above, through the principle of dimensional consistency and mathematical standardization (e.g., normalization, dimensionless parameter conversion, or unified unit system), can translate physical quantities of different attributes into unitless standard values ​​or homogeneous, superimposable parameters. This eliminates the interference of different dimensions on operational logic, ensuring that the formulas maintain mathematical rationality and adaptability to objective laws while preserving the distribution characteristics of the original data. These are merely exemplary embodiments of the present invention and are not intended to limit the scope of the invention.

Claims

1. A method for optimizing intercom channel allocation based on signal strength, characterized in that: Includes the following: Step 1: Obtain several industrial devices with interference signals at the project site and build a scalable interference vector database; Step 2: Determine the type of interference source at the application engineering site of the intercom transmitter according to the input signal of the real-time environmental perception of the intercom transmitter, and the interference source type is divided into fixed azimuth interference source and dynamic azimuth interference source; Step 3: For fixed-position interference sources, obtain the corresponding azimuth vector and interference vector of the interference source at the walkie-talkie application project site, predict the channel interference coefficient of the walkie-talkie transmitter relative to each receiving end, and execute the first channel allocation strategy; Step 4: For dynamic azimuth interference sources, the path signal consumption factor is calculated by obtaining the three-dimensional coordinates and speed parameters of the mobile carrier corresponding to the walkie-talkie transmitting end, and the second channel allocation strategy is implemented in combination with the walkie-talkie application service type.

2. The method for optimizing intercom channel allocation based on signal strength according to claim 1, characterized in that: The construction of an expandable interference vector database is as follows: the newly collected interference signals at the project site are converted into interference vectors in a unified format, and the similarity is compared with the interference vectors pre-stored in the walkie-talkies. If the similarity is lower than a preset similarity threshold, the newly collected interference vectors are stored in an erasable memory and synchronized to the local databases of all walkie-talkies in real time to generate an interference vector database.

3. The method for optimizing intercom channel allocation based on signal strength according to claim 1, characterized in that: The method further comprises determining the type of interference source at the application engineering site of the walkie-talkie transmitting terminal according to the input signal of the real-time environmental perception of the walkie-talkie transmitting terminal, wherein the input signal includes the three-dimensional coordinates, the moving speed and the communication distance between the walkie-talkie transmitting terminal and each receiving terminal; If the three-dimensional coordinate offset of multiple consecutive timestamps is less than the set offset threshold, it is determined that the interference source type at the application engineering site of the walkie-talkie transmitter is a fixed-position interference source; If the moving speed of multiple consecutive time stamps exceeds the preset baseline speed, it is determined to be a dynamic azimuth interference source.

4. The method for optimizing intercom channel allocation based on signal strength according to claim 1, characterized in that: The obtaining of the corresponding azimuth vector and interference vector of the interference source at the walkie-talkie application project site and the prediction of the channel interference coefficient of the walkie-talkie transmitting end relative to each receiving end includes: Mark the communication areas between the transmitter and receiver of the two-way radio on the digital map of the project site, and mark the industrial equipment with interference signals in each communication area and record them as interference sources in the corresponding communication area; Extracting interference vectors of interference sources in each communication area from an interference vector database; Mark the location of the interference source in each communication area and construct a bearing vector between it and the transmitter of the walkie-talkie. The bearing vector includes distance features and bearing features. Based on the azimuth vector and the interference vector, the channel interference coefficient of the walkie-talkie transmitter relative to each receiver is predicted.

5. The method for optimizing intercom channel allocation based on signal strength according to claim 4, characterized in that: The predicting of the channel interference coefficient of the intercom transmitter relative to each receiving end further includes the steps of: collecting the signal strength of each receiving end in real time and comparing it with the expected value; if the deviation exceeds the set deviation threshold, triggering the interference vector correction mechanism.

6. The method for optimizing intercom channel allocation based on signal strength according to claim 1, characterized in that: The corresponding steps of executing the first channel allocation strategy are as follows: When the channel interference coefficient of any receiving end exceeds a preset threshold, a full-band channel switching mechanism is triggered, wherein the full-band channel switching mechanism includes the synchronous execution of the forward link calibration unit and the reverse link buffer unit; The forward link calibration unit calibrates the corresponding channel allocation of each receiving end according to the interference source azimuth vector, including: based on the channel interference coefficient of the walkie-talkie transmitter relative to each receiving end, screening the location of the high-frequency interference source in the corresponding communication area of ​​each receiving end, and then triggering directional antenna beam adjustment for it; The backward link buffer unit is used to temporarily store data packets not processed by the receiving end before channel switching, and retransmit them in sequence after the switching is completed, including: immediately starting data caching after the channel switching instruction is issued, and enabling redundant data packet backup if the switching delay exceeds a preset delay threshold.

7. The method for optimizing intercom channel allocation based on signal strength according to claim 6, characterized in that: The triggering of directional antenna beam adjustment includes: adjusting the pointing angle and width of the walkie-talkie transmitting antenna according to the position of the walkie-talkie receiving terminal and the position of the high-frequency interference source, so as to adjust the coverage range of the walkie-talkie transmitting antenna beam.

8. The method for optimizing intercom channel allocation based on signal strength according to claim 1, characterized in that: The calculating of the path signal consumption factor by obtaining the three-dimensional coordinates and speed parameters of the mobile carrier corresponding to the intercom transmitting end includes: Divide the construction site into three-dimensional grids, each of which represents a specific spatial location; In each three-dimensional grid, signal strength data of the corresponding spatial position is determined and stored based on the interference vector of the industrial equipment corresponding to each spatial position in the interference vector database; Obtain the position of the mobile carrier corresponding to the walkie-talkie transmitter in real time, and obtain its speed parameters, including speed magnitude and direction, based on which its movement path is predicted based on the inertial measurement unit; The corresponding linear ratios of the signal strength data at consecutive spatial positions on the moving path are calculated and averaged to generate a path signal loss factor that reflects the spatial attenuation characteristics of the signal.

9. The method for optimizing intercom channel allocation based on signal strength according to claim 1, characterized in that: The step of executing the second channel allocation strategy comprises: Mark signal obstructions on the digital map of the construction site, obtain the real-time coordinates of the mobile carrier corresponding to the walkie-talkie transmitter and the straight-line distance between each signal obstruction, and calculate the attenuation index of the signal during the dynamic propagation process at the walkie-talkie transmitter in combination with the path signal consumption factor; Set a warning value for the attenuation index. When the attenuation index is close to a signal obstruction for a certain period of time and reaches the warning value, the active channel switching mechanism is triggered. The active channel switching mechanism includes: dividing the walkie-talkie into different priorities according to its application service type. The equipment service type is divided into command and dispatch type and inspection type. The command and dispatch type is allocated a high-priority channel with reserved bandwidth; the inspection type is allocated a sub-priority channel with error correction capability.

10. A walkie-talkie channel allocation optimization system based on signal strength, characterized in that: include: The database construction module obtains several industrial devices with interference signals at the project site and builds a scalable interference vector database; The interference source type determination module determines the interference source type at the application engineering site of the walkie-talkie transmitter based on the input signal of the real-time environmental perception of the walkie-talkie transmitter. The interference source type is divided into fixed-position interference source and dynamic-position interference source; The fixed-azimuth channel allocation module obtains the corresponding azimuth vector and interference vector of the interference source at the intercom application project site for the fixed-azimuth interference source, predicts the channel interference coefficient of the intercom transmitter relative to each receiving end, and implements the first channel allocation strategy; The dynamic azimuth channel allocation module calculates the path signal consumption factor for the dynamic azimuth interference source by obtaining the three-dimensional coordinates and speed parameters of the mobile carrier corresponding to the walkie-talkie transmitting end, and implements the second channel allocation strategy in combination with the walkie-talkie application service type.

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