Computer wireless equipment anti-lost method and device and terminal equipment

Abstract

The invention provides a computer wireless device anti-lost method and device and a terminal device, and is suitable for the technical field of data processing, and the method comprises the steps: obtaining initial signal parameter configuration information, device position information and attenuation degree influence parameter information of a plurality of computer wireless devices; generating primary population individuals according to the initial signal parameter configuration information, the equipment position information and the attenuation degree influence parameter information; calculating signal quality characterization variables of the individuals of the primary population; according to the signal quality characterization variable and the primary population individuals, generating a plurality of population individuals of this generation; determining target signal parameter configuration information according to the population individuals of this generation; and according to the target signal parameter configuration information, carrying out anti-lost early warning processing on the computer wireless equipment. The signal attenuation degree of the use environment is considered, the signal parameter configuration scheme is determined for the computer wireless device, self-adaptive adjustment of the signal configuration parameters is achieved, and comprehensiveness, accuracy and effectiveness of anti-lost early warning are improved.

Description

Technical Field

[0001] The present application belongs to the field of wireless communication technology, and in particular, relates to a method, device and terminal device for preventing loss of a computer wireless device. Background Art

[0002] With the development of technology, people's daily work can no longer be separated from computer terminals and network applications, and the types and application scenarios of computer wireless devices have also increased. However, computer wireless devices are usually small in size and easy to lose, resulting in economic losses and data leakage.

[0003] In the prior art, the MAC address of a computer wireless device is usually bound to a specific computer terminal or network, and the wireless performance parameters and preset mobile range of all computer wireless devices bound to it are configured through the computer terminal. When the computer wireless device leaves the preset range, an early warning mechanism is triggered to remind the user that the device may have been lost.

[0004] However, in actual applications, the range and accuracy of anti-loss monitoring of computer wireless devices through wireless signals cannot usually be guaranteed, making the early warning mechanism easily fail due to network delays, and unable to avoid economic losses caused by the loss of computer wireless devices. Summary of the invention

[0005] In view of this, the embodiments of the present application provide a computer wireless device anti-loss method, device and terminal device, aiming to solve the problem in the prior art of uniformly configuring wireless signal parameters for all computer wireless devices, thereby ignoring the impact of wireless signal attenuation in different usage environments, making it impossible to ensure the accuracy and effectiveness of the anti-loss function of the computer wireless device.

[0006] A first aspect of an embodiment of the present application provides a method for preventing a computer wireless device from being lost, comprising:

[0007] Obtaining initial signal parameter configuration information, device location information, and attenuation degree influence parameter information corresponding to the device location information of multiple computer wireless devices;

[0008] Generate a plurality of first-generation population individuals according to the plurality of initial signal parameter configuration information, device location information, and attenuation degree impact parameter information;

[0009] Calculate the signal quality characterization variable of each primary population individual according to the initial signal parameter configuration information, the attenuation degree influencing parameter information and the preset weight coefficient;

[0010] According to the signal quality characterization variable, the individuals of the initial generation population are selected to generate multiple individuals of the current generation population;

[0011] Performing crossover mutation and iterative calculation on a plurality of individuals of the current generation population to determine target signal parameter configuration information;

[0012] According to the target signal parameter configuration information, anti-loss warning processing is performed on the computer wireless device.

[0013] A second aspect of the embodiment of the present application provides a computer wireless device anti-lost device, comprising:

[0014] An information acquisition module, used to acquire initial signal parameter configuration information, device location information, and attenuation degree influence parameter information corresponding to the device location information of multiple computer wireless devices;

[0015] A first-generation population individual generation module, used to generate a plurality of first-generation population individuals according to a plurality of the initial signal parameter configuration information, device location information and attenuation degree influence parameter information;

[0016] A signal quality characterization variable calculation module, used to calculate the signal quality characterization variable of each primary population individual according to the initial signal parameter configuration information, the attenuation degree influencing parameter information and the preset weight coefficient;

[0017] A current generation population individual generation module is used to select the initial generation population individuals according to the signal quality characterization variable to generate multiple current generation population individuals;

[0018] a signal parameter configuration information determination module, configured to perform crossover mutation and iterative calculation on a plurality of individuals of the current generation population to determine target signal parameter configuration information; and

[0019] The anti-loss warning processing module is used to perform anti-loss warning processing on the computer wireless device according to the target signal parameter configuration information.

[0020] The third aspect of an embodiment of the present application provides a terminal device, which includes a memory and a processor. The memory stores a computer program that can be run on the processor. When the processor executes the computer program, it implements the steps of the computer wireless device anti-loss method as described in the first aspect above.

[0021] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium, comprising: a computer program stored therein, wherein when the computer program is executed by a processor, the steps of the computer wireless device anti-loss method as described in the first aspect above are implemented.

[0022] Compared with the prior art, the embodiments of the present application have the following beneficial effects: by combining the wireless signal configuration parameters of multiple computer wireless devices with the device location information, generating initial population individuals according to the initial configuration parameters, the device location information and the attenuation degree influencing parameter information corresponding to the device location information, calculating the signal quality characterization variables of each initial population individual, quantifying the wireless communication effect of each wireless signal configuration parameter in various computer wireless device use environments, and then screening the initial population individuals according to the signal quality characterization variables, it is possible to avoid being disturbed by the initial individuals in a large-scale and complex population individual set, avoid falling into a local optimal solution during the solution process, gradually iterate the calculation of the population individuals with good wireless communication effects, improve the convergence efficiency of the solution process, quickly obtain the global optimal solution, and obtain the signal parameter configuration information with the best wireless communication effect, thereby taking into account the signal attenuation degree of the computer wireless device use environment, and determining the wireless signal parameter configuration scheme with the best communication effect in different use environments for the computer wireless device, which is used to realize adaptive adjustment of the wireless signal configuration parameters, thereby improving the comprehensiveness, accuracy and effectiveness of anti-loss warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0024] Figure 1 It is a schematic diagram of the implementation process of the computer wireless device anti-loss method provided in the first embodiment of the present application;

[0025] Figure 2 It is a schematic diagram of the implementation process of the computer wireless device anti-loss method provided in the second embodiment of the present application;

[0026] Figure 3 It is a schematic diagram of the implementation process of the computer wireless device anti-loss method provided in the third embodiment of the present application;

[0027] Figure 4 It is a schematic diagram of the implementation process of the computer wireless device anti-loss method provided in the fourth embodiment of the present application;

[0028] Figure 5 This is a schematic diagram of the implementation process of the computer wireless device anti-loss method provided in Example 5 of the present application;

[0029] Figure 6 This is a schematic diagram of the implementation process of the computer wireless device anti-loss method provided in Example 6 of the present application;

[0030] Figure 7 This is a schematic diagram of the implementation process of the computer wireless device anti-loss method provided in Example 7 of the present application;

[0031] Figure 8 It is a structural schematic diagram of a computer wireless device anti-lost device provided in an embodiment of the present application;

[0032] Fig. 9 It is a schematic diagram of a terminal device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0034] In order to illustrate the technical solution described in this application, a specific embodiment is provided below for illustration.

[0035] Figure 1 The following is a flowchart of the computer wireless device anti-lost method provided in the first embodiment of the present application, which is described in detail as follows:

[0036] Step S101, obtaining initial signal parameter configuration information, device location information, and attenuation degree influence parameter information corresponding to the device location information of multiple computer wireless devices.

[0037] In this embodiment, the computer wireless device may be a wireless mouse, a wireless keyboard, a wireless network card, a Bluetooth headset, a wireless router, etc. The initial signal parameter configuration information may be the default signal parameter configuration of each computer wireless device, which may be sent by each computer wireless device to a terminal device that matches it, so as to be acquired by the terminal device. The initial signal parameter configuration information may include signal transmission frequency, signal transmission strength, signal modulation mode, signal transmission rate, etc., wherein the signal transmission strength is related to the signal transmission power. The device location information may be obtained through Wi-Fi positioning technology or GPS positioning technology, and may be sent by the computer wireless device to a terminal device that matches it for acquisition. The attenuation degree influence parameter information corresponding to the device location information may be obtained by measuring in advance the possible locations of various computer wireless devices through wireless communication test equipment and software. The attenuation degree influence parameter information may be a parameter used to characterize path loss, shadow fading, and multipath delay spread, and specifically, may be a signal transmission range, a channel bit error rate, and an obstacle attenuation coefficient.

[0038] Step S102: generating a plurality of first-generation population individuals according to the plurality of initial signal parameter configuration information, device location information and attenuation degree influence parameter information.

[0039] In this embodiment, the signal strength information and signal frequency information in the initial signal parameter configuration information may be first extracted to determine the interval range of the signal strength and signal frequency, and the interval range may be divided into different small intervals according to the preset number of intervals, and then each small interval may be averaged to obtain multiple signal strength values ​​and signal frequency values, and then the signal strength value, signal frequency value and attenuation degree influencing parameter information may be used as genes of the first generation population individuals, and the first generation population individuals may be generated after aggregation processing. Among them, a first generation population individual includes a signal strength value, a signal frequency value and multiple attenuation degree influencing parameter information. The multiple attenuation degree influencing parameter information may be signal transmission range information, channel bit error rate information, and obstacle coefficient. Among them, the signal strength information is determined by the wireless signal transmission power of the computer wireless device, and is used to characterize the signal strength of the wireless signal sent from the computer wireless device, and the signal frequency information refers to the frequency when the wireless signal is sent by the computer wireless device.

[0040] Step S103, calculating the signal quality characterization variable of each primary population individual according to the initial signal parameter configuration information, the attenuation degree influencing parameter information and the preset weight coefficient.

[0041] In this embodiment, the preset weight coefficient may be artificially set. The signal strength value and signal frequency value in the initial signal configuration information may be extracted, and then the extracted signal strength value and signal frequency value are combined with each attenuation degree influencing parameter information to perform a weighted sum operation, and the operation result is the signal quality characterization variable of each primary population individual.

[0042] Step S104: selecting the individuals of the first generation population according to the signal quality characterization variable to generate a plurality of individuals of the current generation population.

[0043] In this embodiment, the selection probability of each individual of the first-generation population can be calculated based on the signal quality characterization variable of each individual of the first-generation population, and then the individuals of the first-generation population are extracted according to the selection probability of each individual of the first-generation population, and the extracted individuals are used as individuals of the current generation population. It can be understood that the larger the signal quality characterization variable of the first-generation population individual is, the higher the communication quality of the signal parameter configuration in the environmental attenuation condition is, so the larger the calculated selection probability of the first-generation population individual is, the greater the probability of the first-generation population individual being extracted is.

[0044] Step S105, performing crossover mutation and iterative calculation on a plurality of individuals of the current generation population to determine target signal parameter configuration information.

[0045] In this embodiment, after individuals are selected from the individuals of the first generation of population as individuals of the current generation of population, calculations can be performed on the individuals of the current generation of population according to the crossover operator to achieve the purpose of adjusting the arrangement order of chromosomes of the individuals of the current generation of population, and then further calculations can be performed on the individuals of the current generation of population through the mutation operator to perform numerical transformation on the gene data in the individuals of the current generation of population, so as to achieve continuous evolution of the individuals of the population, and then through iterative calculations, the individuals of the population are continuously screened and adjusted, the calculation range of the optimal solution is expanded, and the fitness is gradually improved. The signal parameter configuration information corresponding to the individuals of the population is finally solved as the target signal parameter configuration information, which is used as a computer wireless device to determine the wireless signal parameter configuration scheme in different usage environments, thereby achieving adaptive adjustment of the wireless signal configuration parameters in different usage environments, so as to improve the comprehensiveness, accuracy and effectiveness of the anti-loss warning.

[0046] Step S106, performing anti-loss warning processing on the computer wireless device according to the target signal parameter configuration information.

[0047] In this embodiment, the wireless signal parameters of the computer wireless device can be configured according to the target signal parameter configuration information, so that the computer wireless device sends wireless signals through the configured wireless signal parameters, and the wireless signals sent by the computer wireless device are received and analyzed by the terminal device matched with the computer wireless device to determine whether the computer wireless device is likely to be or is about to be lost, so as to perform early warning processing in time to remind the user to retrieve it.

[0048] The computer wireless device anti-loss method provided in the embodiment of the present application combines the wireless signal configuration parameters of multiple computer wireless devices with the device location information, generates an initial population individual according to the initial configuration parameters, the device location information and the attenuation degree influencing parameter information corresponding to the device location information, calculates the signal quality characterization variables of each initial population individual, quantifies the wireless communication effect of each wireless signal configuration parameter in various computer wireless device use environments, and then screens the initial population individuals according to the signal quality characterization variables, so that it can be free from the interference of the initial individuals in a large-scale and complex population individual set, avoids falling into a local optimal solution during the solution process, gradually iterates the calculation of the population individuals with good wireless communication effects, improves the convergence efficiency of the solution process, and quickly obtains the global optimal solution to obtain the signal parameter configuration information with the best wireless communication effect, thereby taking into account the signal attenuation degree of the computer wireless device use environment, and determining the wireless signal parameter configuration scheme with the best communication effect in different use environments for the computer wireless device, which is used to realize the adaptive adjustment of the wireless signal configuration parameters, thereby improving the comprehensiveness, accuracy and effectiveness of the anti-loss warning.

[0049] Figure 2 The flowchart of the computer wireless device anti-lost method provided in the second embodiment of the present application is shown, which differs from the above-mentioned first embodiment in that:

[0050] The initial signal parameter configuration information includes signal strength information and signal frequency information;

[0051] The step S102 specifically includes:

[0052] Step S201: Generate a signal strength range and a signal frequency range according to the plurality of signal strength information and signal frequency information.

[0053] In this embodiment, multiple signal strength information and signal frequency information may be summarized to extract the maximum and minimum values ​​of the signal strength information and the maximum and minimum values ​​of the signal frequency information. The signal strength range and the signal frequency range are determined according to the maximum and minimum values ​​of the signal strength information and the maximum and minimum values ​​of the signal frequency information.

[0054] Step S202: dividing the signal strength range and the signal frequency range into intervals according to a preset number of divided intervals to obtain a plurality of signal strength intervals and signal frequency intervals.

[0055] In this embodiment, the preset number of divided intervals may be manually set, and may be used to evenly divide the signal strength range and the signal frequency range, and the intervals obtained after the division are signal strength intervals and signal frequency intervals.

[0056] Step S203: generating a plurality of primary population individuals according to the plurality of signal strength intervals, signal frequency intervals, device location information, and attenuation degree influencing parameter information.

[0057] In this embodiment, the two endpoints or average values ​​of the signal strength interval, the two endpoints or average values ​​of the signal frequency interval, the device location information and the attenuation degree influencing parameter information can be used as the gene values ​​of the first-generation population individuals to generate multiple first-generation population individuals.

[0058] The computer wireless device anti-loss method provided in the embodiment of the present application determines the signal strength range and the signal frequency range based on multiple initial signal parameter configuration information, and then divides the signal strength range and the signal frequency range into intervals, and determines multiple signal strength values ​​and signal frequency values ​​through the division granularity, thereby ensuring the effectiveness and reliability of the signal strength configuration and the signal frequency configuration, generating the first generation of population individuals, and facilitating subsequent deep screening calculations.

[0059] Figure 3The flowchart of the computer wireless device anti-lost method provided in the third embodiment of the present application is shown, which differs from the above-mentioned second embodiment in that:

[0060] The device location information includes device location abscissa information and device location ordinate information;

[0061] The step S203 specifically includes:

[0062] Step S301, calculating the averages of the plurality of signal strength intervals and signal frequency intervals to obtain a plurality of signal strength configuration values ​​and signal frequency configuration values.

[0063] In this embodiment, multiple signal strength intervals may be averaged to obtain multiple signal strength configuration values; multiple signal frequency intervals may be averaged to obtain multiple signal frequency configuration values.

[0064] Step S302: Generate a plurality of primary population individuals according to the signal strength configuration value, the signal frequency configuration value, the device position horizontal coordinate information, the device position vertical coordinate information, and the attenuation degree influencing parameter information.

[0065] In this embodiment, an array consisting of signal strength configuration values ​​and signal frequency configuration values ​​may be used as a chromosome in the first-generation population individual, an array consisting of device position horizontal coordinate information, device position vertical coordinate information, and attenuation degree influencing parameter information may be used as another chromosome in the first-generation population individual, and the two chromosomes may be used as a first-generation population individual.

[0066] The computer wireless device anti-loss method provided in the embodiment of the present application, by finely dividing the signal strength interval and the signal frequency interval, and taking the mean of the divided intervals as the representative value of each interval for use as the gene value of the initial population, removes redundant data and reduces the complexity of subsequent calculations, thereby combining the simplified interval data with the device location information and the attenuation degree influencing parameter information to generate multiple initial population individuals for subsequent screening of wireless parameter configuration schemes under different usage environments.

[0067] Figure 4 The flowchart of the computer wireless device anti-lost method provided in the fourth embodiment of the present application is shown, which differs from the above-mentioned first embodiment in that:

[0068] The preset weight coefficients include a preset first weight coefficient, a preset second weight coefficient, a preset third weight coefficient, and a preset fourth weight coefficient;

[0069] The attenuation degree influencing parameter information includes signal transmission range information, channel bit error rate information, and obstacle attenuation variable information;

[0070] The step S103 specifically includes:

[0071] Step S401: Determine the number of wireless devices, expected transmission range information, and multiple signal strength configuration information according to the multiple initial signal parameter configuration information.

[0072] In this embodiment, the number of wireless devices may be determined based on the amount of data of the acquired initial signal parameter configuration information; the expected transmission range information and signal strength configuration information may be extracted from each initial signal parameter configuration information. The expected transmission range information refers to the theoretical wireless signal transmission range. The theoretical values ​​of communication ranges in different wireless communication technologies are different. For example, in an indoor WIFI environment, the expected transmission range of a wireless device may be between 30 meters and 100 meters; in a Bluetooth environment, the expected transmission range of a wireless device may be between 10 meters and 100 meters. Specifically, it may also be calculated and determined based on the usage environment.

[0073] Step S402: extracting the maximum signal strength and the minimum signal strength according to the plurality of signal strength configuration information.

[0074] In this embodiment, the maximum value and the minimum value in the plurality of signal strength configuration information are extracted to obtain the maximum signal strength value and the minimum signal strength value.

[0075] Step S403: Calculate the average signal strength and the standard deviation of the signal strength according to the number of wireless devices, the maximum signal strength and the minimum signal strength.

[0076] In this embodiment, the signal strength average value may be calculated by summing up all signal strength values ​​and dividing the sum by the number of wireless devices. The signal strength standard deviation may be calculated by the signal strength average value, the maximum signal strength value, and the minimum signal strength value.

[0077] Step S404: Calculate a first transmission quality characterization variable according to the signal strength average value, the signal strength maximum value, the signal strength minimum value, and a preset first weight coefficient.

[0078] In this embodiment, the preset first weight coefficient may be manually set, and the difference between the average signal strength and the minimum signal strength may be used as the numerator, the maximum signal strength and the minimum signal strength may be used as the denominator, and then the fractional calculation result may be multiplied by the preset first weight coefficient to obtain the first transmission quality characterization variable.

[0079] Step S405: Calculate a second transmission quality characterization variable according to the signal strength standard deviation, a preset signal strength standard deviation threshold, and a preset second weight coefficient.

[0080] In this embodiment, the preset signal strength standard deviation threshold and the preset second weight coefficient may be manually set. The signal strength standard deviation may be used as the numerator, the preset signal strength standard deviation threshold may be used as the denominator, the fractional operation result may be multiplied by the second weight coefficient, and the multiplication result may be used as the second transmission quality characterization variable.

[0081] Step S406: Calculate a third transmission quality characterization variable according to the signal transmission range information, the expected transmission range information and a preset third weight coefficient.

[0082] In this embodiment, the preset third weight coefficient may be manually set, and the signal transmission range information may be divided by the expected transmission range information, and the division result may be multiplied by the preset third weight coefficient to obtain the third transmission quality characterization variable.

[0083] Step S407: Calculate a fourth transmission quality characterization variable according to the channel bit error rate information and a preset fourth weight coefficient.

[0084] In this embodiment, the preset fourth weight coefficient may be manually set, and the fourth transmission quality characterization variable may be obtained by multiplying the channel bit error rate information by the preset fourth weight coefficient.

[0085] Step S408: Calculate the signal quality characterization variable of each primary population individual according to the first transmission quality characterization variable, the second transmission quality characterization variable, the third transmission quality characterization variable, the fourth transmission quality characterization variable and the obstacle attenuation variable information.

[0086] In this embodiment, the first transmission quality characterization variable, the second transmission quality characterization variable, the third transmission quality characterization variable, the fourth transmission quality characterization variable and the obstacle attenuation variable information may be added to obtain the signal quality characterization variables of each primary population individual.

[0087] In this embodiment, preferably, in scenarios where higher requirements are placed on signal strength stability, the second weight coefficient can be set to a larger value; in scenarios where higher requirements are placed on transmission distance, the third weight coefficient can be set to a larger value, thereby achieving the adaptive needs of computer wireless devices in different usage environments.

[0088] The computer wireless device anti-loss method provided in the embodiment of the present application introduces different weight coefficients, and calculates the signal quality characterization variables of each primary population individual in different usage environments to accurately quantify the signal transmission quality of each primary population individual, thereby determining the wireless parameter configuration schemes for computer wireless devices applied to different usage environments for screening basis, making the screening of wireless parameter configuration schemes more reliable and effective, thereby improving the anti-loss effect of computer wireless devices.

[0089] Figure 5 The flowchart of the computer wireless device anti-lost method provided in the fifth embodiment of the present application is shown. The difference between the fifth embodiment and the first embodiment is that the step S104 specifically includes:

[0090] Step S501, calculating the selection probability of each individual in the primary population according to the signal quality characterization variable.

[0091] In this embodiment, an individual of the first-generation population represents a wireless parameter configuration scheme, and the signal quality characterization variable is used as the selection criterion. The individual with a larger signal quality characterization variable in the first-generation population has a greater probability of being selected as an individual of the current generation population, thereby achieving a preferential selection of the individuals of the first-generation population and avoiding falling into a local optimal situation during the solution process.

[0092] Step S502, cumulatively calculating the selection probabilities of each of the first-generation population individuals to obtain the cumulative selection probability of each of the first-generation population individuals.

[0093] In this embodiment, the selection probabilities of each primary population individual are accumulated to calculate the cumulative selection probability of each primary population individual.

[0094] Step S503, generating a plurality of random values ​​in the interval (0, 1).

[0095] In this embodiment, according to the number of individuals in the initial population, a number of random values ​​equal to the number of individuals in the initial population are generated to characterize the cumulative selection probability. Because the value range of the probability is within the interval (0, 1), the generated random values ​​are all within the interval (0, 1).

[0096] Step S504, performing numerical matching processing on the random value and the cumulative selection probability of each first-generation population individual, and generating multiple current-generation population individuals according to the first-generation population individuals corresponding to the cumulative selection probability.

[0097] In this embodiment, the individual number of the first generation population is used as the horizontal coordinate, and the cumulative selection probability of each first generation population individual is used as the vertical coordinate to generate a cumulative selection probability curve. Then, the random value is matched with the vertical coordinate of the cumulative selection probability curve, and the matched first generation population individual is used as the current generation population individual.

[0098] The computer wireless device anti-loss method provided in the embodiment of the present application determines the selection probability of the first-generation population individuals according to the signal quality characterization variables of each first-generation population individual. The wireless parameter configuration scheme with higher signal quality characterization variables has a higher probability of being selected. Therefore, it can better consider the adaptability of individuals in population reproduction and select individuals more specifically, ensuring that individuals with higher fitness are selected for reproduction and evolution, avoiding the solution process from falling into the local optimal solution, thereby achieving the purpose of population optimization, so as to more quickly select the wireless parameter configuration scheme with better wireless communication effect, and improve the effectiveness and reliability of the anti-loss function of the computer wireless device.

[0099] Figure 6 The flowchart of the computer wireless device anti-lost method provided in the sixth embodiment of the present application is shown. The difference between the sixth embodiment and the first embodiment is that the step S105 specifically includes:

[0100] Step S601, based on the preset crossover rule and mutation rule, a plurality of individuals of the current generation population are calculated to obtain a plurality of individuals of the next generation population.

[0101] In this embodiment, the preset crossover rule and mutation rule can be artificially set. The crossover rule can be single-point crossover, two-point crossover / multi-point crossover, or uniform crossover. The mutation rule can be discrete recombination or simulated binary crossover. After the individuals of the current generation population are calculated by the crossover rule and mutation rule, the individuals of the next generation population are obtained for subsequent calculations.

[0102] Step S602: Calculate the signal quality characterization variable of each second-generation population individual according to the plurality of second-generation population individuals.

[0103] In this embodiment, a corresponding wireless communication parameter configuration scheme is determined according to each sub-generation population individual, and then a signal quality characterization variable is calculated to facilitate selection of each sub-generation population individual.

[0104] Step S603, determining whether the signal quality characterization variables of each of the sub-generation population individuals are equal; if so, proceeding to step S604; if not, proceeding to step S605.

[0105] In this embodiment, when the signal quality characterization variables of each sub-generation population individual are all the same, it indicates that the calculation result has converged, and the signal parameter configuration information corresponding to the signal quality characterization variable is output as the global optimal solution to obtain the target signal parameter configuration information. When the signal quality characterization variables of each sub-generation population individual are not all the same, it indicates that the calculation result has not converged, the global optimal solution has not been obtained, and the iterative calculation should continue.

[0106] Step S604: determining target signal parameter configuration information according to the plurality of second-generation population individuals.

[0107] In this embodiment, when the signal quality characterization variables of each sub-generation population individual are all the same, it indicates that the calculation results have converged, and the signal parameter configuration information corresponding to the signal quality characterization variable is output as the global optimal solution to obtain the target signal parameter configuration information.

[0108] Step S605, calculating the extraction probability of each second-generation population individual according to the signal quality characterization variable of each second-generation population individual.

[0109] In this embodiment, when the signal quality characterization variables of each sub-generation population individual are not all the same, it indicates that the calculation results have not converged and the global optimal solution has not been obtained. The extraction probability of each sub-generation population individual should continue to be calculated, and the sub-generation population individuals should be screened according to the extraction probability.

[0110] Step S606, extracting individuals from the next generation population according to the extraction probability to obtain optimized individuals.

[0111] In this embodiment, the individuals of the next generation population may be randomly selected according to the extraction probability, thereby achieving a preferred selection of the individuals of the next generation population, and the individuals after the extraction are the optimized individuals.

[0112] Step S607, taking the optimized individuals as individuals of the current generation population, and returning to step S601.

[0113] In this embodiment, the optimized individuals are used as individuals of this generation of population, and the crossover calculation and mutation calculation are re-performed, and then the signal quality characterization variables are recalculated for the individuals after the crossover mutation, thereby realizing the iterative reproduction of the population individuals and allowing the solution process to converge quickly.

[0114] The computer wireless device anti-loss method provided in the embodiment of the present application performs genetic iteration on individuals of the current generation population, and preferentially selects individuals with higher signal quality characterization variables among individuals of the current generation population, thereby selecting individuals with the highest signal quality characterization variables for population reproduction calculation, so that the solution process can converge quickly, thereby quickly obtaining the individual with the highest signal quality characterization variable, that is, determining the wireless parameter configuration scheme with the best wireless communication transmission quality as the target signal parameter configuration information, which is used to configure parameters for computer wireless devices to improve the anti-loss effect of computer wireless devices.

[0115] Figure 7 The flowchart of the computer wireless device anti-lost method provided in the seventh embodiment of the present application is shown, which differs from the first embodiment in that:

[0116] The target signal parameter configuration information includes target signal strength configuration information and target signal frequency configuration information;

[0117] The step S106 specifically includes:

[0118] Step S701, receiving a position feedback signal sent by a computer wireless device; the position feedback signal includes feedback signal strength information and feedback signal frequency information.

[0119] In this embodiment, the position feedback signal sent by the computer wireless device can be obtained through Wi-Fi positioning technology or GPS positioning technology, and is used to feedback the position information to the terminal device matched with the computer wireless device. It can be understood that when the terminal device receives the position feedback signal, it can record the reception strength information and reception frequency information of the signal, that is, the strength and frequency of the received position feedback signal, as the feedback signal strength information and feedback signal frequency information, which are used to judge whether the computer wireless device is about to be lost in the future.

[0120] Step S702, determine whether the difference between the feedback signal strength information and the target signal strength configuration information is greater than a preset signal strength difference threshold; if so, determine the inquiry information sending frequency according to the target signal frequency configuration information and a preset frequency increment range; if not, save and process the position feedback signal.

[0121] In this embodiment, the preset signal strength difference threshold and the preset frequency increment range can be set manually. When the difference between the feedback signal strength information and the target signal strength configuration information is greater than the preset signal strength difference threshold, it indicates that the computer wireless device is likely to be away from the daily use area or blocked by other obstacles that suddenly appear, so it is necessary to adjust the signal transmission frequency, that is, to send the inquiry information at a higher frequency to ensure that the computer wireless device can receive the location inquiry information. After receiving the location inquiry information, the computer wireless device will promptly feedback the location confirmation information to facilitate positioning and finding. When the difference between the feedback signal strength information and the target signal strength configuration information is less than or equal to the preset signal strength difference threshold, it indicates that the electric energy wireless device is not far from the daily use area, and the transmission of the wireless signal is not seriously blocked by obstacles, then the position feedback signal from the computer wireless device is saved and processed, and once the signal of the computer wireless device cannot be received, the location of the computer wireless device is determined according to the saved position feedback signal.

[0122] Step S703, sending location inquiry information to the computer wireless device according to the inquiry information sending frequency.

[0123] In this embodiment, when the difference between the feedback signal strength information and the target signal strength configuration information is greater than the preset signal strength difference threshold, it indicates that the computer wireless device is likely to be away from the daily use area or blocked by other obstacles that suddenly appear, and the transmission of the wireless signal needs to be adjusted. That is, the terminal device sends inquiry information to the computer wireless device at a higher frequency to ensure that the computer wireless device that is away from the daily work area or blocked by obstacles can receive the location inquiry information. After receiving the location inquiry information, the computer wireless device will promptly feedback the location confirmation information. It can be understood that when adjusting the signal transmission frequency, the target signal frequency configuration information can be added to the value in the frequency increment range, and the frequency value obtained by the addition is used as the inquiry information transmission frequency.

[0124] Step S704, receiving location confirmation information sent by the computer wireless device.

[0125] In this embodiment, after adjusting the sending frequency of the inquiry information, the location confirmation information sent from the computer wireless device continues to be received. At this time, the location confirmation information can be received at a higher frequency.

[0126] Step S705: Generate a device movement trajectory according to the location confirmation information.

[0127] In this embodiment, the location confirmation information may be mapped to the preset map information to generate a device movement trajectory and display it visually to achieve the purpose of tracking the computer wireless device and facilitate finding the computer wireless device.

[0128] Step S706, calculating the distance between the position confirmation information and a preset reference point to obtain a relative distance of movement of the device.

[0129] In this embodiment, the preset reference point can be manually set, or marked in the map information. The straight-line distance between the location confirmation information and the reference point can be calculated as the relative distance of the device movement to determine whether the computer wireless device has moved away from the daily use area.

[0130] Step S707, determine whether the relative distance moved by the device is greater than a preset warning distance threshold; if so, send an audio-visual warning control signal to the computer wireless device according to the query information sending frequency; if not, do not send an audio-visual warning control signal to the computer wireless device.

[0131] In this embodiment, the preset warning distance threshold can be set manually. When the relative distance moved by the device is greater than the preset warning distance threshold, it indicates that the computer wireless device has moved away from the daily use area, so a sound and light warning control signal is sent to the computer wireless device. After the computer wireless device receives the sound and light warning control signal, it will immediately perform a sound and light warning. Among them, the sound and light warning can be achieved through a buzzer and a diode. When the relative distance moved by the device is less than or equal to the preset warning distance threshold, it indicates that the computer wireless device is not far from the daily use area, and there is no need to make the computer wireless device perform a sound and light warning to avoid wasting electricity.

[0132] The computer wireless device anti-loss method provided in the embodiment of the present application receives the position feedback signal sent by the computer wireless device to obtain the strength and frequency of the signal sent by the computer wireless device, and judges whether the computer wireless device is about to be lost according to the signal strength. When it is detected that the computer wireless device has a tendency to be lost, the frequency of sending the inquiry signal to the computer wireless device is increased to ensure that the feedback signal from the computer wireless device can be received. After receiving the position confirmation information sent by the computer wireless device, the device movement trajectory is generated in time to facilitate the subsequent search for the computer wireless device. When it is determined that the computer wireless device has moved away from the daily use area, the sound and light warning control signal is sent to the computer wireless device in time, so that the computer wireless device can perform sound and light warning in time, which is convenient for the user to track and find it, thereby realizing the anti-loss function of the computer wireless device and effectively improving the anti-loss effect of the computer wireless device.

[0133] Corresponding to the method of the above embodiment, Figure 8 A structural block diagram of a computer wireless device anti-loss device provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown. Figure 8 The exemplary computer wireless device anti-loss device can be the execution body of the computer wireless device anti-loss method provided in the aforementioned embodiment 1.

[0134] Reference Figure 8 , the computer wireless device anti-lost device includes:

[0135] The information acquisition module 810 is used to acquire initial signal parameter configuration information, device location information, and attenuation degree influence parameter information corresponding to the device location information of multiple computer wireless devices;

[0136] The initial population individual generation module 820 is used to generate a plurality of initial population individuals according to the plurality of initial signal parameter configuration information, device location information and attenuation degree influence parameter information;

[0137] The signal quality characterization variable calculation module 830 is used to calculate the signal quality characterization variable of each primary population individual according to the initial signal parameter configuration information, the attenuation degree influencing parameter information and the preset weight coefficient;

[0138] The current generation population individual generation module 840 is used to select the initial generation population individuals according to the signal quality characterization variable to generate multiple current generation population individuals;

[0139] A signal parameter configuration information determination module 850 is used to perform crossover mutation and iterative calculation on a plurality of individuals of the current generation population to determine target signal parameter configuration information; and

[0140] The anti-loss warning processing module 860 is used to perform anti-loss warning processing on the computer wireless device according to the target signal parameter configuration information.

[0141] The process of each module in the computer wireless device anti-lost device provided in the embodiment of the present application realizing its own function can be specifically referred to the aforementioned Figure 1 The description of the first embodiment is not repeated here.

[0142] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0143] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0144] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0145] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0146] In addition, in the description of the present specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish descriptions, and cannot be understood as indicating or suggesting relative importance. It should also be understood that although the terms "first", "second", etc. are used to describe various elements in some embodiments of the present application in the text, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, the first table can be named as the second table, and similarly, the second table can be named as the first table without departing from the scope of the various described embodiments. The first table and the second table are both tables, but they are not the same table.

[0147] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0148] The computer wireless device anti-loss method provided in the embodiment of the present application can be applied to terminal devices such as mobile phones, tablet computers, wearable devices, vehicle-mounted devices, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPC), netbooks, personal digital assistants (PDA), etc. The embodiment of the present application does not impose any restrictions on the specific type of terminal devices.

[0149] For example, the terminal device can be a station (STAION, ST) in a WLAN, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with wireless communication function, a computing device or other processing device connected to a wireless modem, a vehicle-mounted device, a vehicle networking terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card, a TV set top box (STB), a customer premises equipment (CPE) and / or other devices for communicating on a wireless system and a next-generation communication system, such as a mobile terminal in a 5G network or a mobile terminal in a future evolved Public Land Mobile Network (PLMN) network, etc.

[0150] As an example but not limitation, when the terminal device is a wearable device, the wearable device can also be a general term for wearable devices that are intelligently designed and developed using wearable technology for daily wear, such as glasses, gloves, watches, clothing and shoes. A wearable device is a portable device that is worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not just hardware devices, but also achieve powerful functions through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include those that are fully functional, large in size, and can achieve complete or partial functions without relying on smartphones, such as smart watches or smart glasses, as well as those that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various smart bracelets and smart jewelry for vital sign monitoring.

[0151] Fig. 9 Schematic diagram of the structure of a terminal device provided by an embodiment of the present application. Fig. 9 As shown, the terminal device 9 of this embodiment includes: at least one processor 90 ( Fig. 9 Only one is shown in the figure), a memory 91, wherein the memory 91 stores a computer program 92 that can be run on the processor 90. When the processor 90 executes the computer program 92, the steps in the above-mentioned computer wireless device anti-lost method embodiments are implemented, such as Figure 1 Alternatively, when the processor 90 executes the computer program 92, the functions of each module / unit in the above-mentioned device embodiments are realized, for example, Figure 8Functions of modules 810 to 860 are shown.

[0152] The terminal device 9 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The terminal device may include, but is not limited to, a processor 90 and a memory 91. Those skilled in the art will appreciate that Fig. 9 It is only an example of the terminal device 9 and does not constitute a limitation on the terminal device 9. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device may also include an input sending device, a network access device, a bus, etc.

[0153] The processor 90 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0154] In some embodiments, the memory 91 may be an internal storage unit of the terminal device 9, such as a hard disk or memory of the terminal device 9. The memory 91 may also be an external storage device of the terminal device 9, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device 9. Further, the memory 91 may also include both an internal storage unit of the terminal device 9 and an external storage device. The memory 91 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 91 may also be used to temporarily store data that has been sent or is to be sent.

[0155] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0156] An embodiment of the present application also provides a terminal device, which includes at least one memory, at least one processor, and a computer program stored in the at least one memory and executable on the at least one processor, wherein when the processor executes the computer program, the terminal device implements the steps in any of the above-mentioned method embodiments.

[0157] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0158] An embodiment of the present application provides a computer program product. When the computer program product runs on a terminal device, the terminal device can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0159] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0160] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0161] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0162] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0163] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A computer wireless device anti-loss method, characterized in that: include: Obtaining initial signal parameter configuration information, device location information, and attenuation degree influence parameter information corresponding to the device location information of multiple computer wireless devices; Generate a plurality of first-generation population individuals according to the plurality of initial signal parameter configuration information, device location information, and attenuation degree impact parameter information; Calculate the signal quality characterization variable of each primary population individual according to the initial signal parameter configuration information, the attenuation degree influencing parameter information and the preset weight coefficient; According to the signal quality characterization variable, the individuals of the initial generation population are selected to generate multiple individuals of the current generation population; Performing crossover mutation and iterative calculation on a plurality of individuals of the current generation population to determine target signal parameter configuration information; According to the target signal parameter configuration information, anti-loss warning processing is performed on the computer wireless device.

2. The computer wireless device anti-loss method according to claim 1, characterized in that: The initial signal parameter configuration information includes signal strength information and signal frequency information; The step of generating a plurality of primary population individuals according to the plurality of initial signal parameter configuration information, device location information, and attenuation degree influence parameter information specifically includes: Generate a signal strength range and a signal frequency range according to the plurality of signal strength information and signal frequency information; According to a preset number of divided intervals, the signal strength range and the signal frequency range are divided into intervals to obtain a plurality of signal strength intervals and signal frequency intervals; A plurality of primary population individuals are generated according to the plurality of signal strength intervals, signal frequency intervals, device location information, and attenuation degree influencing parameter information.

3. The computer wireless device anti-loss method according to claim 2, characterized in that: The device location information includes device location abscissa information and device location ordinate information; The step of generating a plurality of primary population individuals according to the plurality of signal strength intervals, signal frequency intervals, device location information, and attenuation degree influencing parameter information specifically includes: Calculating the averages of the plurality of signal strength intervals and the signal frequency intervals to obtain a plurality of signal strength configuration values ​​and signal frequency configuration values; A plurality of primary population individuals are generated according to the signal strength configuration value, the signal frequency configuration value, the device position horizontal coordinate information, the device position vertical coordinate information, and the attenuation degree influencing parameter information.

4. The computer wireless device anti-loss method according to claim 1, characterized in that: The preset weight coefficients include a preset first weight coefficient, a preset second weight coefficient, a preset third weight coefficient, and a preset fourth weight coefficient; The attenuation degree influencing parameter information includes signal transmission range information, channel bit error rate information, and obstacle attenuation variable information; The step of calculating the signal quality characterization variable of each primary population individual according to the initial signal parameter configuration information, the attenuation degree influencing parameter information and the preset weight coefficient specifically includes: Determining the number of wireless devices, expected transmission range information, and multiple signal strength configuration information according to the multiple initial signal parameter configuration information; Extracting a maximum signal strength value and a minimum signal strength value according to the plurality of signal strength configuration information; Calculate the signal strength average value and the signal strength standard deviation according to the number of wireless devices, the maximum signal strength value and the minimum signal strength value; Calculate a first transmission quality characterization variable according to the signal strength average value, the signal strength maximum value, the signal strength minimum value, and a preset first weight coefficient; Calculating a second transmission quality characterization variable according to the signal strength standard deviation, a preset signal strength standard deviation threshold, and a preset second weight coefficient; Calculating a third transmission quality characterization variable according to the signal transmission range information, the expected transmission range information, and a preset third weight coefficient; Calculating a fourth transmission quality characterization variable according to the channel bit error rate information and a preset fourth weight coefficient; The signal quality characterization variable of each primary population individual is calculated according to the first transmission quality characterization variable, the second transmission quality characterization variable, the third transmission quality characterization variable, the fourth transmission quality characterization variable and the obstacle attenuation variable information.

5. The computer wireless device anti-loss method according to claim 1, characterized in that: The step of selecting the individuals of the first generation population according to the signal quality characterization variable to generate multiple individuals of the current generation population specifically includes: Calculating the selection probability of each individual in the primary population according to the signal quality characterization variable; Accumulating and calculating the selection probabilities of each of the first-generation population individuals to obtain the cumulative selection probability of each of the first-generation population individuals; Generate multiple random values ​​in the range (0,1); The random value and the cumulative selection probability of each first-generation population individual are numerically matched, and a plurality of current-generation population individuals are generated according to the first-generation population individuals corresponding to the cumulative selection probability.

6. The computer wireless device anti-loss method according to claim 1, characterized in that: The step of performing crossover mutation and iterative calculation on a plurality of individuals of the current generation population to determine the target signal parameter configuration information specifically includes: Based on the preset crossover rule and mutation rule, a plurality of individuals of the current generation population are calculated to obtain a plurality of individuals of the next generation population; Calculating a signal quality characterization variable of each sub-generation population individual according to the plurality of sub-generation population individuals; Determining whether the signal quality characterization variables of each of the sub-generation population individuals are equal; If yes, determining target signal parameter configuration information according to the plurality of second-generation population individuals; If not, calculating the extraction probability of each sub-generation population individual according to the signal quality characterization variable of each sub-generation population individual; Extracting individuals from the next generation population according to the extraction probability to obtain optimized individuals; The optimized individuals are used as individuals of the current generation population, and the process returns to the step of calculating a plurality of individuals of the current generation population based on the preset crossover rule and mutation rule to obtain a plurality of individuals of the next generation population.

7. The computer wireless device anti-loss method according to claim 1, characterized in that: The target signal parameter configuration information includes target signal strength configuration information and target signal frequency configuration information; The step of performing anti-lost warning processing on the computer wireless device according to the target signal parameter configuration information specifically includes: Receiving a position feedback signal sent by a computer wireless device; the position feedback signal includes feedback signal strength information and feedback signal frequency information; When the difference between the feedback signal strength information and the target signal strength configuration information is greater than a preset signal strength difference threshold, determining the query information sending frequency according to the target signal frequency configuration information and a preset frequency increment range, Sending location inquiry information to the computer wireless device according to the inquiry information sending frequency; Receive location confirmation information sent by the computer's wireless device; Generate a device movement trajectory according to the location confirmation information; When the distance between the position confirmation information and the preset reference point is greater than a preset distance threshold, an acoustic and optical warning control signal is sent to the computer wireless device according to the sending frequency of the inquiry information.

8. A computer wireless device anti-lost device, characterized in that: include: An information acquisition module, used to acquire initial signal parameter configuration information, device location information, and attenuation degree influence parameter information corresponding to the device location information of multiple computer wireless devices; A first-generation population individual generation module, used to generate a plurality of first-generation population individuals according to a plurality of the initial signal parameter configuration information, device location information and attenuation degree influence parameter information; A signal quality characterization variable calculation module, used to calculate the signal quality characterization variable of each primary population individual according to the initial signal parameter configuration information, the attenuation degree influencing parameter information and the preset weight coefficient; A current generation population individual generation module is used to select the initial generation population individuals according to the signal quality characterization variable to generate multiple current generation population individuals; A signal parameter configuration information determination module is used to perform crossover mutation and iterative calculation on a plurality of individuals of the current generation population to determine target signal parameter configuration information; as well as The anti-loss warning processing module is used to perform anti-loss warning processing on the computer wireless device according to the target signal parameter configuration information.

9. A terminal device, characterized in that: The terminal device includes a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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