A method for controlling signal transmission of a mobile phone back clip with infrared transmission function

Abstract

This invention relates to a signal transmission control method for a mobile phone back clip with infrared transmission function, belonging to the field of data transmission technology. The method analyzes the infrared signal sequences received by each receiving node of the infrared receiving array on the mobile phone back clip during a preset time period. Based on the signal fluctuation degree and rarity of each sampling point in each sequence, the suspected anomaly degree of each sampling point is determined. Then, based on the suspected anomaly degree, suspected anomalous sampling points are screened from all sampling points of all infrared signal sequences. Subsequently, by analyzing the spatial and temporal distribution characteristics of each suspected anomalous sampling point during the preset time period, the method distinguishes between normal signal changes and interference-induced changes during the preset time period and quantifies the interference degree. The quantified interference degree guides the subsequent signal transmission intensity of the transmitting end, ensuring the stability of infrared signal transmission while avoiding power waste at the transmitting end, thus improving the signal transmission and reception performance of the mobile phone back clip with infrared transmission function.

Description

Technical Field

[0001] This invention relates to the field of data transmission technology, and in particular to a method for controlling signal transmission of a mobile phone back clip with infrared transmission function. Background Technology

[0002] In industrial production and field operations, workers often need to send and receive work instructions and exchange information. However, in industrial production, the production environment is complex and subject to significant electromagnetic interference. Existing conventional communication methods that rely on electromagnetic signals for information transmission, such as Bluetooth, mobile networks, or Zigbee, cannot guarantee transmission quality in such scenarios. Similarly, in field operations such as high-voltage power line inspections, power lines also generate significant electromagnetic interference. Furthermore, the inspection sites are often remote, with low mobile network strength, which further complicates the transmission quality of the aforementioned communication methods in these situations.

[0003] In this regard, infrared transceiver technology, because it does not use electromagnetic signals, can effectively solve the problem of transmission quality that conventional electromagnetic communication methods cannot guarantee in the aforementioned scenarios. Therefore, a mobile phone back clip with infrared transmission capability to expand mobile phone functions has emerged. After being assembled and connected to the mobile phone, this mobile phone back clip can enable the mobile phone to transmit and receive infrared signals by relying on the infrared emitting module and the infrared light receiving array composed of infrared photodiodes set on the back clip, thereby completing information exchange between different mobile phones or between a mobile phone and a device in relevant scenarios.

[0004] However, current mobile phone clips with infrared transmission capabilities still face the following problems in practical use: During actual infrared signal transmission and reception, factors such as changes in ambient light and obstructions can affect the quality of infrared signal transmission and reception. Maintaining a continuous high-intensity signal transmission will result in high power loss, while low-intensity signal transmission may be affected by environmental factors, leading to decreased signal transmission stability. Existing technologies typically use a fixed transmission signal strength and lack intelligent sensing and adaptive adjustment mechanisms for the transmission environment. Therefore, regardless of whether the signal transmission strength is set to a high or low value, it is impossible to simultaneously ensure transmission stability and minimum power consumption, resulting in signal loss or unnecessary power loss, leading to low signal transmission and reception efficiency.

[0005] In other words, the current type of mobile phone back clip with infrared transmission function has a technical problem of unsatisfactory signal transmission and reception. Summary of the Invention

[0006] In view of this, the present invention provides a signal transmission control method for a mobile phone back clip with infrared transmission function, so as to solve the technical problem that the signal transmission and reception effect of a mobile phone back clip with infrared transmission function is not ideal.

[0007] The present invention provides a mobile phone back clip signal transmission control method with infrared transmission function, comprising:

[0008] During the infrared signal transmission process using a mobile phone back clip, the infrared signals received by each receiving node on the infrared receiving array of the mobile phone back clip are acquired at a set sampling interval during a preset time period and are arranged in time sequence to form the infrared signal sequence corresponding to the receiving node.

[0009] Based on the fluctuation degree and the rarity of the infrared signal at any sampling point in any infrared signal sequence, the suspected anomaly degree of the sampling point is determined, and the suspected abnormal sampling points in the infrared signal sequence are determined based on the suspected anomaly degree.

[0010] Based on the sampling time corresponding to any sampling point in any infrared signal sequence, the number of suspected abnormal sampling points, the degree of suspected abnormality, and the degree of aggregation of receiving nodes with suspected abnormal sampling points in other receiving nodes besides the receiving node corresponding to any infrared signal sequence, the spatial distribution abnormality of any sampling point in any infrared signal sequence is determined.

[0011] Determine the number of sampling times with suspected abnormal sampling points in the preset time period. Based on the number of sampling times with suspected abnormal sampling points, the average spatial distribution anomaly of all sampling points at each sampling time with suspected abnormal sampling points, and the average duration of the occurrence of suspected abnormal sampling points in the preset time period, determine the infrared signal anomaly in the preset time period.

[0012] The transmission power of the signal transmitter after the preset time period is determined based on the infrared signal anomaly.

[0013] Furthermore, determining the suspected anomaly degree of any of the sampling points includes:

[0014] The absolute value of the difference between the signal intensity value at any sampling point in any infrared signal sequence and the signal intensity value at the previous sampling point is recorded as the signal fluctuation level at any sampling point. The number of sampling points in any infrared signal sequence with the same signal fluctuation level as the sampling point is counted as the frequency of occurrence of the signal fluctuation level at the sampling point.

[0015] The degree of suspected anomaly at any sampling point is determined based on the degree of signal fluctuation at any sampling point and the frequency of occurrence of the degree of signal fluctuation at any sampling point. The degree of suspected anomaly is directly proportional to the degree of signal fluctuation at any sampling point and inversely proportional to the frequency of occurrence of the degree of signal fluctuation at any sampling point.

[0016] Furthermore, determining suspected abnormal sampling points in any of the infrared signal sequences includes:

[0017] All sampling points in the infrared signal sequence corresponding to all the receiving nodes are clustered according to the suspected anomaly degree, wherein the number of target clusters is set to two. Then, each sampling point under the cluster with the larger average suspected anomaly degree in the clustered clusters is taken as the suspected anomaly sampling point in the corresponding infrared signal sequence, and the suspected anomaly sampling point in each infrared signal sequence is determined.

[0018] Furthermore, determining the spatial distribution anomaly degree of any sampling point in any infrared signal sequence includes:

[0019] At the sampling time corresponding to any sampling point in any infrared signal sequence, the suspected abnormal sampling points in the infrared signal sequences corresponding to all receiving nodes are recorded as marked sampling points;

[0020] The sum of the suspected outliers of each marked sampling point is calculated and multiplied by the number of marked sampling points. The normalized value of the resulting product is recorded as the first spatial distribution outlier. The distance between each marked sampling point and its closest other marked sampling point is calculated and recorded as the distribution clustering degree of the marked sampling point. The sum of the distribution clustering degrees of all marked sampling points is used as the second spatial distribution outlier.

[0021] The spatial distribution anomaly degree of any sampling point in any infrared signal sequence is constructed based on the first spatial distribution anomaly value and the second spatial distribution anomaly value. The spatial distribution anomaly degree is directly proportional to the first spatial distribution anomaly value and inversely proportional to the second spatial distribution anomaly value.

[0022] Furthermore, determining the number of sampling times with suspected abnormal sampling points within the preset time period includes:

[0023] Determine whether there is a suspected abnormal sampling point in the infrared signal sequence corresponding to the receiving node at any sampling time during the preset time period. If so, the sampling time is taken as the sampling time when the suspected abnormal sampling point exists.

[0024] Furthermore, determining the anomaly of the infrared signal during the preset time period includes:

[0025] Calculate the average spatial distribution anomaly of all suspected abnormal sampling points at any sampling time when there is a suspected abnormal sampling point. Sum the average spatial distribution anomaly of each sampling time when there is a suspected abnormal sampling point and multiply it by the number of sampling times when there is a suspected abnormal sampling point in the preset time period. The normalized value of the resulting product is recorded as the first infrared signal anomaly value.

[0026] After grouping adjacent sampling times of each sampling time with suspected abnormal sampling points under the preset time period into the same continuous time period, the resulting continuous time periods are recorded as suspected abnormal time periods. The square of the duration of any suspected abnormal time period is calculated, and the mean of the square of the durations corresponding to each suspected abnormal time period is normalized as the second infrared signal abnormal value.

[0027] The infrared signal anomaly degree under the preset time period is constructed based on the first infrared signal anomaly value and the second infrared signal anomaly value, and the infrared signal anomaly degree is proportional to both the first infrared signal anomaly value and the second infrared signal anomaly value.

[0028] Furthermore, determining the transmission power of the signal transmitter after the preset time period based on the infrared signal anomaly includes:

[0029] The signal receiving end mobile phone back clip transmits the infrared signal anomaly level during the preset time period back to the signal transmitting end mobile phone back clip. The signal transmitting end mobile phone back clip determines the signal transmission strength of the infrared signal transmitted to the signal receiving end mobile phone back clip after the preset time period based on the infrared signal anomaly level during the preset time period.

[0030] Furthermore, determining the signal transmission strength of the infrared signal transmitted to the signal receiving end mobile phone back clip after the preset time period includes:

[0031] The normalized value of the infrared signal anomaly during the preset time period is calculated as the product of the preset adjustment coefficient and the adjustment multiplier. The product of the adjustment multiplier and the basic signal transmission intensity of the signal transmitter phone back clip is used as the transmission intensity adjustment term. The sum of the transmission intensity adjustment term and the basic signal transmission intensity is used as the signal transmission intensity of the infrared signal transmitted by the signal transmitter phone back clip to the signal receiver phone back clip after the preset time period.

[0032] The advantages of this invention compared to the prior art are:

[0033] This invention analyzes the infrared signal sequences received by each receiving node of the infrared receiving array on the receiver phone back clip during a preset time period. Based on the signal fluctuation degree and rarity of each sampling point in each infrared signal sequence, the suspected anomaly degree of each sampling point is determined. Then, based on the suspected anomaly degree, suspected abnormal sampling points are selected from all sampling points of all infrared signal sequences. Subsequently, by analyzing the spatial and temporal distribution characteristics of each suspected abnormal sampling point during the preset time period, the invention distinguishes between normal infrared signal changes and interference-induced changes during the preset time period and quantifies the degree of interference. This guides the transmitter's infrared signal transmission intensity after the preset time period, ensuring the stability of infrared signal transmission while avoiding unnecessary power waste at the transmitter, thus improving the infrared signal transmission and reception performance of the infrared transmission phone back clip. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is a flowchart illustrating a mobile phone back clip signal transmission control method with infrared transmission function provided in Embodiment 1 of the present invention. Detailed Implementation

[0036] The overall concept of this invention is as follows:

[0037] The signal strength variation characteristics and signal strength fluctuation distribution characteristics of each receiving node in the infrared receiving array on the mobile phone back clip, which acts as the signal receiving end, are analyzed during a preset time period to distinguish between normal signal strength changes and abnormal signal changes caused by interference. This determines the degree of abnormality of the infrared signal received by the mobile phone back clip during the preset time period, guides the infrared signal transmission intensity of the transmitting end after the preset time period, ensures the stability of subsequent infrared signal transmission, and avoids unnecessary waste of transmission power.

[0038] To further illustrate the technical solution of the present invention, specific embodiments are described below.

[0039] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of the invention include a particular feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. Furthermore, a particular feature, structure, or characteristic in one or more embodiments may be combined in any suitable form, and the terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless otherwise specifically emphasized.

[0040] It should be understood that the sequence number of each step in the following embodiments does not imply 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 invention.

[0041] Method Implementation Examples:

[0042] See Figure 1 This is a flowchart illustrating a signal transmission control method for a mobile phone back clip with infrared transmission function provided in Embodiment 1 of the present invention. Figure 1 As shown, the signal transmission control method may include the following steps:

[0043] S101, during the infrared signal transmission process using a mobile phone back clip, the infrared signals received by each receiving node on the infrared receiving array of the signal receiving end mobile phone back clip are acquired at a set sampling interval during a preset time period and the infrared signal sequence corresponding to the receiving node is formed according to the time sequence.

[0044] This embodiment aims to adjust the infrared signal transmission based on feature analysis of the received infrared signal. Therefore, the infrared signal received by the phone case, which acts as the signal receiver, must first be sampled. When a phone case expands a phone's functionality to enable infrared signal transmission, considering the potential noise in signal reception and to ensure a high success rate, current phone cases with infrared transceiver capabilities typically use an infrared receiving array containing multiple signal receiving sensors (such as infrared photodiodes). Each signal receiving sensor constitutes a receiving node in the infrared receiving array, simultaneously receiving infrared signals during transmission.

[0045] Specifically, an infrared transmitting module and an infrared receiving array are simultaneously installed in the phone's back clip, enabling it to transmit and receive infrared signals. The transmitting module uses an 850nm infrared laser diode, and the receiving end uses a photodiode sensor array for signal detection. Each node in the sensor array collects infrared signal strength data 100 times per second, which serves as data characterizing the quality of the transmitted signal at that moment.

[0046] Each acquisition cycle is 1 second, which means that the data segment of the preset time period is specifically 1 second. In other words, 1 second is used as an analysis cycle. The acquired data is stored in time series to obtain the data sequence of signal strength. The signal sequence of one cycle of an array node is projected into a two-dimensional Cartesian coordinate system. Adjacent data points in time are connected by straight lines to obtain a two-dimensional time series curve of the infrared signal strength of a certain array node. That is, each array node will have a corresponding infrared signal sequence.

[0047] S102, determine the suspected anomaly degree of any sampling point based on the fluctuation degree and the rarity of the fluctuation of the infrared signal at any sampling point in any infrared signal sequence, and determine the suspected abnormal sampling point in any infrared signal sequence based on the suspected anomaly degree.

[0048] When the signal received by the phone case (acting as the signal receiver) is normal, there is no need to adjust the signal strength transmitted by the transmitter. Therefore, it is necessary to first determine whether there is any suspected abnormal signal strength data. The determination method is to first obtain signal strength data that may be abnormal within an analysis period. Considering that signal strength is also affected by autonomous adjustment, abnormal signal data cannot be directly judged based on the strength of the signal value. Therefore, the fluctuation characteristics of signal strength are analyzed: On the one hand, abnormal changes in signal strength are usually accompanied by strong changes in signal strength value. For example, when the transmission path is blocked by foreign objects or the transmission path is interfered with by ambient light, the received signal strength will change significantly from the previous moment when it is blocked or interfered with, which is significantly different from the degree of signal strength fluctuation when the signal undergoes autonomous adjustment. On the other hand, the signal strength fluctuation caused by interference will differ from the normal signal strength data value. Compared with the relatively repetitive fluctuation strength value of normal signal, the signal fluctuation strength value when the signal undergoes abnormal changes is more isolated and less repetitive. Therefore, the degree of suspected abnormality of any sampling point can be determined based on the degree of fluctuation and the rarity of fluctuation of the infrared signal at any sampling point in any infrared signal sequence, including:

[0049] The absolute value of the difference between the signal intensity value at any sampling point in any infrared signal sequence and the signal intensity value at the previous sampling point is recorded as the signal fluctuation level at any sampling point. The number of sampling points in any infrared signal sequence with the same signal fluctuation level as the sampling point is counted as the frequency of occurrence of the signal fluctuation level at the sampling point.

[0050] The degree of suspected anomaly at any sampling point is determined based on the degree of signal fluctuation at any sampling point and the frequency of occurrence of the degree of signal fluctuation at any sampling point. The degree of suspected anomaly is directly proportional to the degree of signal fluctuation at any sampling point and inversely proportional to the frequency of occurrence of the degree of signal fluctuation at any sampling point.

[0051] Furthermore, as a preferred embodiment, the suspected anomaly degree of any sampling point is:

[0052]

[0053] Wherein, represents the suspected anomaly degree at the q-th sampling point in the infrared signal sequence corresponding to the w-th receiving node. It is the signal strength value of the q-th sampling point in the infrared signal sequence. Let q be the signal strength value of the sampling point immediately preceding the q-th sampling point. The absolute value of the difference between the signal strength value of the current sampling point and the previous sampling point represents the degree of change of the signal strength value at the current sampling point, that is, the degree of signal fluctuation at the current sampling point. The greater the degree of change, the greater the suspected anomaly of the current sampling point q. This represents the maximum value among all sampling points in the infrared signal sequence corresponding to the w-th receiving node, indicating the degree of signal fluctuation. It is the minimum value of the signal fluctuation among all sampling points in the infrared signal sequence corresponding to the w-th receiving node. To normalize the signal fluctuation of the current q-th sampling point by using the maximum and minimum values, and to obtain the level of change of the current q-th data point in the overall data. This represents the number of sampling points in the infrared signal sequence corresponding to the w-th receiving node that have the same signal fluctuation level as the q-th sampling point. It's important to note that this number includes the q-th sampling point itself, so its minimum value is 1. A higher number of identical sampling points indicates that the fluctuation of the current sampling point is more similar to that of other sampling points, making it more likely to be a normal signal strength value. Conversely, a lower number of identical sampling points indicates a more isolated fluctuation, making the current signal more likely to be a value indicating an abnormal change, and thus a stronger suspicion of anomaly. Therefore, an inverse proportionality is used. .

[0054] Therefore, the suspected anomaly degree of each sampling point in the infrared signal sequence corresponding to each receiving node can be determined, and then the suspected abnormal sampling points in any infrared signal sequence can be identified, including:

[0055] All sampling points in the infrared signal sequence corresponding to all the receiving nodes are clustered according to the suspected anomaly degree, wherein the number of target clusters is set to two. Then, each sampling point under the cluster with the larger average suspected anomaly degree in the clustered clusters is taken as the suspected anomaly sampling point in the corresponding infrared signal sequence, and the suspected anomaly sampling point in each infrared signal sequence is determined.

[0056] In other embodiments, other methods for determining suspected abnormal sampling points can also be used. For example, according to the formula for calculating the suspected abnormality of any sampling point given in the preferred embodiment above, it can be seen that the range of the suspected abnormality of any sampling point is [0,2]. Therefore, a threshold can also be selected based on this range, such as selecting the median value of 1 as the threshold. When a sampling point is identified as a suspected abnormal data point, the suspected abnormal sampling points in each infrared signal sequence are determined.

[0057] S103, based on the number of suspected abnormal sampling points, the degree of suspected abnormality, and the degree of aggregation of receiving nodes with suspected abnormal sampling points in other receiving nodes besides the receiving node corresponding to any sampling point in any infrared signal sequence at the sampling time corresponding to any sampling point in any infrared signal sequence, determine the spatial distribution abnormality of any sampling point in any infrared signal sequence.

[0058] Since a single suspected abnormal data point cannot reflect the overall signal abnormality during signal transmission, and some noise may occur during normal signal transmission but does not affect the overall signal transmission and is not considered a true abnormality, in order to avoid misjudgment due to noise and to improve the accuracy of analysis, the spatial distribution characteristics of abnormal signals are analyzed here to assess the degree of infrared signal abnormality during the overall infrared signal transmission process of an analysis cycle.

[0059] The analysis principle is as follows: First, taking any sampling point in any infrared signal sequence as the analysis benchmark, we obtain the suspected abnormal sampling points under all receiving nodes of the receiving array at the same time as the current sampling point. The more suspected abnormal sampling points there are in the receiving array at a certain time, and the stronger the suspected abnormality of each suspected abnormal sampling point, the wider the coverage of the signal abnormality in the back clip array at that time, and the stronger the degree of signal interference. At the same time, we evaluate the distribution density of receiving nodes with suspected abnormal sampling points at this time. The denser the distribution of suspected abnormal sampling points at the same time, the more concentrated the signal abnormality is in the coverage area of ​​the phone back clip receiving array at that time, indicating that a certain area in the signal transmission path is severely blocked or interfered with, and the stronger the impact of abnormal interference on infrared signal transmission.

[0060] Therefore, determining the spatial distribution anomaly of any sampling point in any infrared signal sequence includes:

[0061] At the sampling time corresponding to any sampling point in any infrared signal sequence, the suspected abnormal sampling points in the infrared signal sequences corresponding to all receiving nodes are recorded as marked sampling points;

[0062] The sum of the suspected outliers of each marked sampling point is calculated and multiplied by the number of marked sampling points. The normalized value of the resulting product is recorded as the first spatial distribution outlier. The distance between each marked sampling point and its closest other marked sampling point is calculated and recorded as the distribution clustering degree of the marked sampling point. The sum of the distribution clustering degrees of all marked sampling points is used as the second spatial distribution outlier.

[0063] The spatial distribution anomaly degree of any sampling point in any infrared signal sequence is constructed based on the first spatial distribution anomaly value and the second spatial distribution anomaly value. The spatial distribution anomaly degree is directly proportional to the first spatial distribution anomaly value and inversely proportional to the second spatial distribution anomaly value.

[0064] It should be noted that the spatial distribution anomaly degree of any sampling point refers to the spatial distribution characteristics of abnormal signals on the receiving array obtained with that sampling point as the reference, and not the spatial distribution characteristics of a single receiving node corresponding to that sampling point or data point. Obtaining the spatial distribution anomaly degree corresponding to each sampling point is necessary to traverse all time points and all receiving nodes to complete subsequent analysis.

[0065] Furthermore, as a preferred embodiment, the spatial distribution anomaly degree of any sampling point in any infrared signal sequence is:

[0066]

[0067] in, Let be the spatial distribution anomaly degree of the q-th sampling point in the infrared signal sequence of the w-th array node. This represents the number of receiving nodes with suspected anomalous sampling points at the current q-th sampling point. It can also be understood as the number of suspected anomalous sampling points in the infrared signal sequence corresponding to all receiving nodes at that time. These suspected anomalous sampling points are the aforementioned marked sampling points. The more signals there are, the wider the coverage of the signal anomaly on the phone's back-clip receiver array at that moment, and the stronger the anomaly at that moment. Let be the suspected anomaly score at the suspected anomaly sampling point in the i-th receiving node, which is also the suspected anomaly score at the i-th marked sampling point. The sum of suspected anomalies across all receiving nodes is used to determine the degree of signal interference. A larger sum indicates a stronger suspected anomaly at each suspected sampling point, signifying a greater degree of signal interference. For linear normalization, used to control the magnitude of this part of the formula. This represents the distance between the i-th receiving node with a suspected anomalous sampling point at the current moment and the other receiving node with a suspected anomalous sampling point that is closest to it (the distance between adjacent nodes in the array is 1 unit length), which is also the distance between the i-th marked sampling point and its closest other marked sampling point. By summing the nearest distances to all suspected anomaly nodes, a smaller sum indicates a denser distribution of these nodes at the current moment. This suggests that the signal anomaly is more concentrated within the coverage area of ​​the phone's back-clip receiver array, indicating severe obstruction or interference in the signal transmission path. The greater the impact of this interference on infrared signal transmission, the more pronounced the inverse proportionality is used. .

[0068] S104, determine the number of sampling times with suspected abnormal sampling points in the preset time period, and determine the infrared signal anomaly degree in the preset time period based on the number of sampling times with suspected abnormal sampling points, the average spatial distribution anomaly degree of all sampling points at each sampling time with suspected abnormal sampling points, and the average duration when suspected abnormal sampling points appear in the preset time period.

[0069] While the previous step obtained the spatial distribution anomaly degree of any sampling point in any infrared signal sequence, that is, the spatial distribution anomaly degree of the corresponding sampling point in each infrared signal sequence at each sampling time in the analysis period, it is easy to understand that at some or certain times, regardless of which receiving node's corresponding infrared signal sequence, there will be no suspected abnormal sampling points. In order to reduce the computational load and improve the accuracy of the analysis, it is first necessary to determine the number of sampling times with suspected abnormal sampling points in the preset time period, that is, to determine the number of sampling times with possible anomalies in the preset time period, including:

[0070] Determine whether there is a suspected abnormal sampling point in the infrared signal sequence corresponding to the receiving node at any sampling time during the preset time period. If so, the sampling time is taken as the sampling time when the suspected abnormal sampling point exists.

[0071] It is easy to understand that, on the one hand, the more sampling moments with suspected anomalies in the analysis period, and the stronger the spatial distribution anomaly of each sampling point at each suspected anomaly sampling moment, the stronger the anomaly in the overall signal transmission process; on the other hand, after classifying adjacent sampling moments with suspected anomalies in each sampling moment within a preset time period into the same continuous time period and recording each of the resulting continuous time periods as suspected anomaly time periods, the longer the length of each suspected anomaly time period, the longer the duration of each anomaly, indicating that the interference of the anomaly in the signal transmission process of the current analysis period is stronger, the interference on the integrity of signal transmission is stronger, and the corresponding anomaly is stronger.

[0072] Therefore, the anomaly degree of the infrared signal under the preset time period, i.e., the analysis period, can be determined, including:

[0073] Calculate the average spatial distribution anomaly of all suspected abnormal sampling points at any sampling time when there is a suspected abnormal sampling point. Sum the average spatial distribution anomaly of each sampling time when there is a suspected abnormal sampling point and multiply it by the number of sampling times when there is a suspected abnormal sampling point in the preset time period. The normalized value of the resulting product is recorded as the first infrared signal anomaly value.

[0074] After grouping adjacent sampling times of each sampling time with suspected abnormal sampling points under the preset time period into the same continuous time period, the resulting continuous time periods are recorded as suspected abnormal time periods. The square of the duration of any suspected abnormal time period is calculated, and the mean of the square of the durations corresponding to each suspected abnormal time period is normalized as the second infrared signal abnormal value.

[0075] The infrared signal anomaly degree under the preset time period is constructed based on the first infrared signal anomaly value and the second infrared signal anomaly value, and the infrared signal anomaly degree is proportional to both the first infrared signal anomaly value and the second infrared signal anomaly value.

[0076] As a further preferred option, the infrared signal anomaly degree during the preset time period is:

[0077]

[0078] in, The infrared signal anomaly degree of the signal received by the mobile phone back clip, which acts as the signal receiver, during a preset time period. This represents the number of sampling times within a preset time period that contain suspected abnormal sampling points. Let be the mean of the spatial distribution anomaly degree at the corresponding sampling point in the infrared signal sequence corresponding to all array nodes at the i-th sampling time, representing the degree of spatial distribution anomaly at that time. The number of sampling times with suspected anomalies. The more samples collected, the greater the degree of spatial distribution anomaly at each suspected anomaly sampling time. The stronger the signal, the greater the degree of anomaly in the overall signal transmission process. This represents the number of suspected abnormal time periods. Let be the length of the j-th suspected abnormal time period. The longer the length of this suspected abnormal time period, the stronger the sustained impact of abnormal interference during the transmission in the current analysis period. Therefore, the length of the suspected abnormal time period itself is used as the weight, and then multiplied by the corresponding suspected abnormal time period. This indicates that the longer the length of each suspected abnormal period, the stronger the overall degree of abnormality. As a direct proportional normalization function, the range of both parts of the formula is restricted to [0,1], while unifying the magnitude of both parts of the formula.

[0079] Therefore, based on the spatial and temporal distribution of the abnormal characteristics of the received infrared signal, the evaluation result of the signal abnormality can be accurately obtained, and the accurate quantitative value of the abnormality of the infrared signal received by the infrared signal receiver during the analysis period can be obtained.

[0080] S105, determine the transmission power of the signal transmitter after the preset time period based on the infrared signal anomaly.

[0081] The infrared signal anomaly level obtained in the previous step characterizes the degree of anomaly in the infrared signal received by the mobile phone back clip, which acts as the signal receiver, during the analysis period. This anomaly level characterizes the specific degree of interference encountered by the infrared signal transmitter (which can be other mobile phone back clips or any industrial equipment with infrared information transmission capabilities, etc.) during the transmission of the infrared signal to the signal receiver mobile phone back clip over a certain distance. Therefore, the subsequent transmission power of the transmitter can be adjusted according to the infrared signal anomaly level. This embodiment uses a mobile phone back clip, which also has infrared transmission capabilities, as an example to illustrate the process of adjusting the transmitter's transmission power:

[0082] The signal receiving end mobile phone back clip transmits the infrared signal anomaly level during the preset time period back to the signal transmitting end mobile phone back clip. The signal transmitting end mobile phone back clip determines the signal transmission strength of the infrared signal transmitted to the signal receiving end mobile phone back clip after the preset time period based on the infrared signal anomaly level during the preset time period.

[0083] The signal transmission strength of the infrared signal emitted to the phone back clip at the signal receiving end after a preset time period can be adjusted based on the actual signal transmission strength of the phone back clip at the transmitting end, or it can be adjusted based on a preset base signal transmission strength. This embodiment uses the example of adjusting the transmission power based on a preset base signal transmission strength, where the preset base signal transmission strength can be set according to the environmental complexity and the distance between the transmitting end and the receiving end. Specifically, determining the signal transmission strength of the infrared signal emitted to the phone back clip at the signal receiving end after the preset time period includes:

[0084] The normalized value of the infrared signal anomaly during the preset time period is calculated as the product of the preset adjustment coefficient and the adjustment multiplier. The product of the adjustment multiplier and the basic signal transmission intensity of the signal transmitter phone back clip is used as the transmission intensity adjustment term. The sum of the transmission intensity adjustment term and the basic signal transmission intensity is used as the signal transmission intensity of the infrared signal transmitted by the signal transmitter phone back clip to the signal receiver phone back clip after the preset time period.

[0085] Furthermore, as a preferred embodiment, the signal transmission strength of the infrared signal emitted by the signal transmitter phone clip to the signal receiver phone clip after the preset time period is:

[0086]

[0087] in, The signal transmission strength after adjustment at the transmitting end. The preset basic signal transmission strength on the transmitting end, This means that, based on the original signal strength, the stronger the signal anomaly, the greater the need to increase the strength of the transmitted signal. Used to normalize the degree of abnormality E. The adjustment factor is used to control the degree of enhancement and prevent overgrowth.

[0088] Repeat the analysis process under the above analysis cycle to obtain the signal transmission strength of the transmitter after each analysis cycle. In order to prevent the signal strength from continuously increasing during the adjustment process, if there are no suspected abnormal data points in the received signal of the previous cycle, it indicates that the channel transmission is normal. Adjust the signal strength to the empirical signal strength, such as the basic signal transmission strength.

[0089] Compared to existing technologies that typically use a fixed value for the signal strength of infrared transmission phone clips, which leads to high power loss due to continuous high-intensity signal transmission and decreased signal transmission stability due to environmental factors, this invention accurately quantifies the anomaly degree of the infrared signal received by the phone clip as the infrared signal receiver within a preset time period based on the differences in spatial and temporal distribution characteristics between normal infrared signal changes and infrared signal changes caused by interference. This anomaly degree is then fed back to the signal transmitter phone clip, controlling the subsequent infrared signal transmission intensity of the transmitter phone clip. This achieves increased infrared signal transmission intensity only when signal transmission anomalies occur, ensuring infrared signal transmission stability while avoiding unnecessary power waste for the transmitter phone clip, thus improving the infrared signal transmission and reception performance of the infrared transmission phone clip.

[0090] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A mobile phone back clamping signal transmission control method with infrared transmission function, characterized in that, The method includes: During the infrared signal transmission process using a mobile phone back clip, the infrared signals received by each receiving node on the infrared receiving array of the mobile phone back clip are acquired at a set sampling interval during a preset time period and are arranged in time sequence to form the infrared signal sequence corresponding to the receiving node. Based on the fluctuation degree and the rarity of the infrared signal at any sampling point in any infrared signal sequence, the suspected anomaly degree of the sampling point is determined, and the suspected abnormal sampling points in the infrared signal sequence are determined based on the suspected anomaly degree. Based on the sampling time corresponding to any sampling point in any infrared signal sequence, the number of suspected abnormal sampling points, the degree of suspected abnormality, and the degree of aggregation of receiving nodes with suspected abnormal sampling points in other receiving nodes besides the receiving node corresponding to any infrared signal sequence, the spatial distribution abnormality of any sampling point in any infrared signal sequence is determined. Determine the number of sampling times with suspected abnormal sampling points in the preset time period. Based on the number of sampling times with suspected abnormal sampling points, the average spatial distribution anomaly of all sampling points at each sampling time with suspected abnormal sampling points, and the average duration of the occurrence of suspected abnormal sampling points in the preset time period, determine the infrared signal anomaly in the preset time period. The transmission power of the signal transmitter after the preset time period is determined based on the infrared signal anomaly. Determining the spatial distribution anomaly degree of any sampling point in any infrared signal sequence includes: At the sampling time corresponding to any sampling point in any infrared signal sequence, the suspected abnormal sampling points in the infrared signal sequences corresponding to all receiving nodes are recorded as marked sampling points; The sum of the suspected outliers of each marked sampling point is calculated and multiplied by the number of marked sampling points. The normalized value of the resulting product is recorded as the first spatial distribution outlier. The distance between each marked sampling point and its closest other marked sampling point is calculated and recorded as the distribution clustering degree of the marked sampling point. The sum of the distribution clustering degrees of all marked sampling points is used as the second spatial distribution outlier. The spatial distribution anomaly degree of any sampling point in any infrared signal sequence is constructed based on the first spatial distribution anomaly value and the second spatial distribution anomaly value. The spatial distribution anomaly degree is directly proportional to the first spatial distribution anomaly value and inversely proportional to the second spatial distribution anomaly value. Determining the infrared signal anomaly degree during the preset time period includes: Calculate the average spatial distribution anomaly of all suspected abnormal sampling points at any sampling time when there is a suspected abnormal sampling point. Sum the average spatial distribution anomaly of each sampling time when there is a suspected abnormal sampling point and multiply it by the number of sampling times when there is a suspected abnormal sampling point in the preset time period. The normalized value of the resulting product is recorded as the first infrared signal anomaly value. After grouping adjacent sampling times of each sampling time with suspected abnormal sampling points under the preset time period into the same continuous time period, the resulting continuous time periods are recorded as suspected abnormal time periods. The square of the duration of any suspected abnormal time period is calculated, and the mean of the square of the durations corresponding to each suspected abnormal time period is normalized as the second infrared signal abnormal value. The infrared signal anomaly degree under the preset time period is constructed based on the first infrared signal anomaly value and the second infrared signal anomaly value, and the infrared signal anomaly degree is proportional to both the first infrared signal anomaly value and the second infrared signal anomaly value.

2. The signal transmission control method for a mobile phone back cover with infrared transmission function according to claim 1, characterized in that, Determining the suspected anomaly degree of any of the sampling points includes: The absolute value of the difference between the signal intensity value at any sampling point in any infrared signal sequence and the signal intensity value at the previous sampling point is recorded as the signal fluctuation level at any sampling point. The number of sampling points in any infrared signal sequence with the same signal fluctuation level as the sampling point is counted as the frequency of occurrence of the signal fluctuation level at the sampling point. The degree of suspected anomaly at any sampling point is determined based on the degree of signal fluctuation at any sampling point and the frequency of occurrence of the degree of signal fluctuation at any sampling point. The degree of suspected anomaly is directly proportional to the degree of signal fluctuation at any sampling point and inversely proportional to the frequency of occurrence of the degree of signal fluctuation at any sampling point.

3. The mobile phone back clip signal transmission control method with infrared transmission function according to claim 1 or 2, characterized in that, The determination of suspected abnormal sampling points in any of the infrared signal sequences includes: All sampling points in the infrared signal sequence corresponding to all the receiving nodes are clustered according to the suspected anomaly degree, wherein the number of target clusters is set to two. Then, each sampling point under the cluster with the larger average suspected anomaly degree in the clustered clusters is taken as the suspected anomaly sampling point in the corresponding infrared signal sequence, and the suspected anomaly sampling point in each infrared signal sequence is determined.

4. The mobile phone back clip signal transmission control method with infrared transmission function according to claim 1, characterized in that, The determination of the number of sampling times with suspected abnormal sampling points within the preset time period includes: Determine whether there is a suspected abnormal sampling point in the infrared signal sequence corresponding to the receiving node at any sampling time during the preset time period. If so, the sampling time is taken as the sampling time when the suspected abnormal sampling point exists.

5. The mobile phone back clip signal transmission control method with infrared transmission function according to claim 1, characterized in that, Determining the transmission power of the signal transmitter after the preset time period based on the infrared signal anomaly includes: The signal receiving end mobile phone back clip transmits the infrared signal anomaly level during the preset time period back to the signal transmitting end mobile phone back clip. The signal transmitting end mobile phone back clip determines the signal transmission strength of the infrared signal transmitted to the signal receiving end mobile phone back clip after the preset time period based on the infrared signal anomaly level during the preset time period.

6. The mobile phone back clip signal transmission control method with infrared transmission function according to claim 5, characterized in that, The step of determining the signal transmission strength of the infrared signal transmitted to the signal receiver's mobile phone back clip after the preset time period includes: The normalized value of the infrared signal anomaly during the preset time period is calculated as the product of the preset adjustment coefficient and the adjustment multiplier. The product of the adjustment multiplier and the basic signal transmission intensity of the signal transmitter phone back clip is used as the transmission intensity adjustment term. The sum of the transmission intensity adjustment term and the basic signal transmission intensity is used as the signal transmission intensity of the infrared signal transmitted by the signal transmitter phone back clip to the signal receiver phone back clip after the preset time period.

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