Indoor distribution signal intelligent monitoring system and method based on data preprocessing

Abstract

The invention relates to the technical field of signal monitoring, and discloses an indoor distribution signal intelligent monitoring system and method based on data preprocessing, and the method obtains an independent control method of each subarea through the regional discussion of a total space with a plurality of signal amplifiers. The intelligent switching of the operation states of the signal amplifiers in the communication area among the starting state, the standby state and the closing state can be controlled based on the tendency coefficient, on one hand, the number of the signal amplifiers used at the same time can be reduced as much as possible, so that the signal quality of a signal overlapping area is improved, and on the other hand, the signal quality is improved. The operation state of the signal amplifier is intelligently controlled to be switched among the starting state, the standby state and the closing state, and the network use requirement of personnel can be met in time.

Description

Technical Field

[0001] The present application relates to the technical field of signal monitoring, and in particular to a system and method for intelligent monitoring of indoor signals based on data preprocessing. Background Art

[0002] Indoor signal distribution (indoor distribution system signal) is a wireless signal coverage solution designed specifically to improve the mobile communication environment inside buildings. Its core principle is to evenly distribute base station signals to every corner of the room through signal sources (such as base stations and repeaters) and distribution systems (antennas and cables), thus resolving signal blind spots, weak coverage, and interference caused by building structures.

[0003] Common base station types for indoor signal distribution include macro base stations, micro base stations, and repeaters. Repeaters directly amplify signals through amplifiers, offering low cost, simple management, and widespread adoption. However, the problem is that signals amplified by various amplifiers can easily interfere with each other in complex building environments. For example, signal blind spots can form in lower floors and underground areas of a building, while overlapping signals can cause interference in middle floors. A common solution is to increase signal quality in overlapping areas by switching between different signal channels. However, the limited number of signal channels makes it inevitable that some amplified signals will reside in the same channel in complex environments, ultimately leading to poor signal quality.

[0004] In view of this, the present invention proposes an intelligent indoor signal monitoring system and method based on data preprocessing, which is used to solve the problem that even by switching signal channels, part of the amplified signal stored in a complex environment is inevitably located in the same signal channel, which ultimately leads to poor signal quality in this environment. Summary of the Invention

[0005] In order to solve the problem that even by switching signal channels, part of the amplified signal stored in a complex environment is inevitably located in the same signal channel, which ultimately leads to poor signal quality in this environment, the present application provides an intelligent indoor signal monitoring system and method based on data preprocessing.

[0006] In the first aspect, the present application provides an intelligent monitoring system for indoor signals based on data preprocessing, which adopts the following technical solutions:

[0007] An intelligent indoor signal monitoring system based on data preprocessing includes a monitoring module for acquiring video information of all persons in the communication area;

[0008] a data preprocessing module, wherein the data preprocessing module sets a monitoring interval and preprocesses the video information in each communication zone within the monitoring interval to obtain reference information, wherein the reference information includes the number of people in the communication zone, the identities of the people, and the corresponding positions and movement directions of the people;

[0009] a data processing module, wherein the data processing module obtains a propensity coefficient of a communication area based on reference information within all communication areas, the propensity coefficient of the communication area being directly proportional to the total number of people in communication areas adjacent to the communication area, directly proportional to a habit value between the person and the current area obtained based on personnel information of the people in the communication areas adjacent to the communication area, and directly proportional to the inverse of the number of people in the communication areas adjacent to the communication area for whom the angle between the straight line containing the moving direction and the direction line is less than the reference angle, the habit value being a frequency value of traveling to the communication area within a preset time period;

[0010] The room management module controls the operation state of the signal amplifier in the communication area to switch between the start state, the standby state and the shutdown state based on the tendency coefficient, and enters the start determination loop when the signal amplifier is in the standby state.

[0011] Through the above technical solution: a technical solution for intelligent management of indoor signals is provided. Specifically, the present invention divides the total space where multiple signal amplifiers are present into zones, and obtains a separate control method for each zone. It can realize intelligent switching of the operating state of the signal amplifier in the communication area between the start state, standby state and off state based on the tendency coefficient. On the one hand, it can minimize the number of signal amplifiers used at the same time, thereby improving the signal quality in areas where signals overlap. On the other hand, the intelligent control of the operating state of the signal amplifier between the start state, standby state and off state can meet the network needs of personnel in a timely manner and avoid the network problems that often occur in ordinary switching management systems.

[0012] Optionally, the process of obtaining the propensity coefficient includes:

[0013] By formula Get the propensity coefficient Q, where 、 and are respectively the preset first weight coefficient, the second weight coefficient and the third weight coefficient and , is the total number of people in the communication area adjacent to the communication area corresponding to the propensity coefficient, The number of people is the preset standard, obtained based on empirical data. It is the sum of the habitual values ​​of the people in the communication area adjacent to the communication area whose moving direction straight line and direction line have an angle smaller than the reference angle in the current communication area. Yes Participation The sum of the preset standard custom values ​​of the accumulated personnel, It is the number of people in the communication area adjacent to the communication area whose angle between the straight line of their moving direction and the direction line is less than the reference angle. It is for The set standard number, N is the actual number of people in the current communication area obtained during the monitoring interval, It is a piecewise function based on the value of N.

[0014] Optionally, the signal amplifier is provided with a controller, a standby circuit and a main circuit. The standby circuit is connected to the controller. In the standby state, the main circuit of the signal amplifier is powered off and the standby circuit is powered on, and the controller is powered by the standby circuit. In the running state, the standby circuit is powered off and the main circuit is powered on. In the shutdown state, both the standby circuit and the main circuit are powered off.

[0015] Optionally, the process of controlling the operating state of the signal amplifier in the communication area based on the tendency coefficient includes:

[0016] Compare the real-time obtained tendency coefficient Q with the preset comparison interval Compare, if Then a secondary analysis is performed, and the operating state of the signal amplifier is controlled based on the secondary analysis result. Analyze the numerical value of

[0017] If Q falls into the comparison interval , then control the signal amplifier of the communication area to enter the standby state;

[0018] like Then the signal amplifier of the communication area is controlled to enter the closed state.

[0019] Through the above technical solution: a process of controlling the operating state of the signal amplifier in the communication area through the tendency coefficient is provided. Specifically, the present invention performs preliminary control on the signal amplifier by real-time acquiring the tendency coefficient which is inversely proportional to the tendency of people to move to the current communication area. When the tendency coefficient is large, people in the communication areas adjacent to the current communication area are more inclined not to go to the current communication area, and when the tendency coefficient is small, people in the communication areas adjacent to the current communication area are more inclined to go to the current communication area. When the tendency coefficient is large, the signal amplifier is controlled to be turned off, which can save energy and avoid signal overlapping interference. When the tendency coefficient is small, the signal amplifier is controlled to be on standby, and can be started in time when there are people in the current communication area or when there are about to be people. The signal amplifier can be started faster in the standby state, thereby avoiding as much as possible that people in the current communication area feel the network is not smooth during the startup process.

[0020] Optionally, the secondary analysis process includes:

[0021] Based on historical data acquisition The value interval is divided into several basic intervals, and the intervals are sorted and numbered according to the values ​​of the right endpoints of the basic intervals;

[0022] Set the prediction interval to obtain the historical data contained in the basic interval The total number of values, then the first number of people who enter the current communication area whose moving direction straight line and direction line have an angle less than the reference angle in the prediction interval under the basic interval, and the first number is obtained and the number of people who enter the current communication area in the basic interval of the historical data is included. The ratio of the total number of values;

[0023] With the interval number as the input layer, the first number and the basic interval in the historical data contain The ratio of the total number of values ​​is used to train the output layer and establish a neural network model;

[0024] If the value output by the established neural network model is greater than 0.9, the secondary analysis result is output that the signal amplifier needs to be controlled to enter the startup state. If the value output by the established neural network model is not greater than 0.9, the secondary analysis result is output that the signal amplifier needs to be controlled to enter the standby state.

[0025] Through the above technical solution: a process is provided for predicting the people who are about to enter the current communication area through secondary analysis and thus starting the signal amplifier in advance. The present invention analyzes the current data and habit data of all people whose movement direction points to the current communication area within the monitoring interval, and can meet the control process of starting the signal amplifier in advance with a confidence level of 0.05-0.1. The advantage is that the signal amplifier can be switched from the standby state to the startup state in advance, reducing the problem of poor network experience of users caused by unstable signal quality during the startup process of traditional signal amplifiers.

[0026] Optionally, the process of entering the startup determination loop in the standby state includes:

[0027] Obtain the actual number of people in the communication area that needs signal amplifier control;

[0028] If the actual number of people is not 0, the signal amplifier is switched to the start state;

[0029] If the actual number of people is 0, the signal amplifier is kept in standby mode.

[0030] Optionally, the process of obtaining the endpoint value of the comparison interval includes:

[0031] Based on historical data, obtain, for each tendency coefficient, a first number of people who move from other communication areas to the current communication area, out of the total number of people whose moving direction straight line and direction line have an angle less than a reference angle among the people in the communication areas adjacent to the current communication area;

[0032] The minimum value of all the propensity coefficients corresponding to the state where the ratio of the first number to the total number of personnel is greater than 0.75 is set to .

[0033] The minimum value of all the tendency coefficients corresponding to the state where the ratio of the first number to the total number of people is greater than 0.55 is set to .

[0034] Optionally, the preset time range is 1-7 days, the frequency value is the number of times the person goes to the communication area within the preset time, and the reference angle value range is between 15° and 30°.

[0035] Optionally, the preprocessing adopts a preset algorithm, the number of people and their identities adopt a face recognition algorithm, the movement direction of people adopts an optical flow algorithm, and the position coordinates of people are obtained through a spatial positioning algorithm.

[0036] In a second aspect, the present invention further provides a method for intelligent monitoring of room signals based on data preprocessing, comprising the following steps:

[0037] Obtain video information of all personnel in the communication area;

[0038] Setting a monitoring interval and pre-processing the video information in each communication area within the monitoring interval to obtain reference information, the reference information including the number of people in the communication area, the identity of the people, and the corresponding positions and movement directions of the people;

[0039] Obtaining a propensity coefficient for a communication area based on reference information within all communication areas, the propensity coefficient for the communication area being in direct proportion to the total number of people in communication areas adjacent to the communication area, being in direct proportion to a habit value between the person and the current area obtained based on personnel information of the people in the communication areas adjacent to the communication area, and being in direct proportion to the inverse of the number of people in the communication areas adjacent to the communication area for whom the angle between the straight line containing the moving direction and the direction line is less than the reference angle, wherein the habit value is a frequency value of traveling to the communication area within a preset time period;

[0040] The operation state of the signal amplifier in the communication area is controlled to switch between the start state, the standby state and the shutdown state based on the tendency coefficient, and the start determination loop is entered when the signal amplifier is in the standby state.

[0041] In summary, this application includes at least one of the following beneficial technical effects:

[0042] The present invention discusses the zoning of the total space where multiple signal amplifiers exist, and obtains a separate control method for each partition. It can realize intelligent switching of the operating state of the signal amplifier in the communication area between the start state, standby state and off state based on the tendency coefficient. On the one hand, it can minimize the number of signal amplifiers used at the same time, thereby improving the signal quality in areas where signals overlap. On the other hand, the intelligent control of the operating state of the signal amplifier to switch between the start state, standby state and off state can meet the network needs of personnel in a timely manner.

[0043] The present invention performs preliminary control on the signal amplifier by real-time acquisition of a tendency coefficient that is inversely proportional to the tendency of people to move toward the current communication area. When the tendency coefficient is large, people in the communication areas adjacent to the current communication area are more inclined not to go to the current communication area, and when the tendency coefficient is small, people in the communication areas adjacent to the current communication area are more inclined to go to the current communication area. When the tendency coefficient is large, the signal amplifier is controlled to be turned off, which can save energy and avoid signal overlapping interference. When the tendency coefficient is small, the signal amplifier is controlled to be on standby, and can be started in time when there are people in the current communication area or when there are about to be people. The signal amplifier can be started faster in the standby state, thereby avoiding as much as possible that people in the current communication area feel poor network during the startup process.

[0044] The present invention analyzes the current data and habit data of all people whose movement direction points to the current communication area within the monitoring interval, and performs an early start control process. The advantage of the present invention is that the signal amplifier can be switched from the standby state to the start state in advance, thereby reducing the problem of poor network experience for users caused by unstable signal quality during the startup process of traditional signal amplifiers. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the module composition of the monitoring system of the present invention.

[0046] Figure 2 It is a schematic flow chart of the steps of the monitoring method of the present invention. DETAILED DESCRIPTION

[0047] Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings.

[0048] Throughout this specification, reference to the terms "certain embodiments," "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0049] The present application discloses an intelligent monitoring system for indoor signals based on data preprocessing, referring to Figure 1 , including a monitoring module, the monitoring module is used to obtain video information of all people in the communication area;

[0050] Data preprocessing module, the data preprocessing module sets a monitoring interval and preprocesses the video information in each communication area within the monitoring interval to obtain reference information. The reference information includes the number of people in the communication area, the identity of the people, and the corresponding personnel position and movement direction. The preprocessing adopts a preset algorithm. The number of people and the identity of the people are counted by an identification algorithm such as face recognition. If there are people who repeatedly enter and exit the communication area for number counting within the monitoring interval, each person with a different identity is counted only once. The movement direction of the people is obtained by the optical flow algorithm. The movement direction vector of the movement direction is obtained. If multiple movement direction vectors appear within the monitoring interval, the vectors are merged and the merged vector is set as the movement direction vector. The position coordinates of the people are obtained by the spatial positioning algorithm;

[0051] A data processing module, the data processing module obtains a propensity coefficient of a communication area based on reference information in all communication areas, the propensity coefficient of the communication area is directly proportional to the total number of people in the communication areas adjacent to the communication area, is directly proportional to the habit value between the person and the current area obtained based on the personnel information of the people in the communication areas adjacent to the communication area, and is directly proportional to the inverse of the number of people in the communication areas adjacent to the communication area whose angle between the straight line where the moving direction is located and the direction line is less than the reference angle, the habit value is the frequency value of going to the communication area within a preset time period, the preset time can be set within 1-7 days, the frequency value is the number of times the person goes to the communication area within the preset time period, the reference angle is a constant value, and the value range is between 15°-30°, and the specific data is based on the positional relationship and morphological relationship between the communication area where the person is located and the communication area;

[0052] The indoor management module controls the operation state of the signal amplifier in the communication area to switch between the start state, the standby state and the shutdown state based on the tendency coefficient, and enters the start determination loop when the signal amplifier is in the standby state.

[0053] In this embodiment, a technical solution is provided for intelligent management of indoor signals. Specifically, the present invention discusses the zoning of the total space where multiple signal amplifiers are present, and obtains a separate control method for each partition. It can realize intelligent switching of the operating status of the signal amplifier in the communication area between the start state, standby state and off state based on the tendency coefficient. On the one hand, it can minimize the number of signal amplifiers used at the same time, thereby improving the signal quality in areas where signals overlap. On the other hand, the intelligent control of the operating status of the signal amplifier between the start state, standby state and off state can meet the network needs of personnel in a timely manner and avoid the network problems that often occur in ordinary switching management systems.

[0054] The process of obtaining the propensity coefficient includes:

[0055] By formula Get the propensity coefficient Q, where 、 and are respectively the preset first weight coefficient, the second weight coefficient and the third weight coefficient and , the first weight coefficient, the second weight coefficient and the third weight coefficient are all selected based on empirical data, is the total number of people in the communication area adjacent to the communication area corresponding to the propensity coefficient, The number of people is the preset standard, obtained based on empirical data. It is the sum of the habitual values ​​of the people in the communication area adjacent to the communication area whose moving direction straight line and direction line have an angle smaller than the reference angle in the current communication area. Yes Participation The sum of the preset standard custom values ​​of the accumulated personnel is obtained based on empirical data. It is the number of people in the communication area adjacent to the communication area whose angle between the straight line of their moving direction and the direction line is less than the reference angle. It is for The set standard number, N is the actual number of people in the current communication area obtained during the monitoring interval, It is a piecewise function based on the N value setting. When N is greater than 0 The output is 0 when N is equal to 0 The output is 1, which is also obtained based on the empirical coefficient. The standard number of people, standard habit value and standard quantity are all obtained based on empirical data. As an example, the process of obtaining the standard number of people based on empirical data includes statistically analyzing the changes in the total number of people in the communication area adjacent to the communication area corresponding to the tendency coefficient over time within a working day, and building a prediction model based on the statistical results. It should be noted that the prediction model can incorporate the measurement process of different working days, for example, obtaining data from different working days and establishing different prediction models to improve the prediction accuracy. The preset standard number of people is the predicted number output by the prediction model after the current time is brought into the prediction model. The process of obtaining the standard habit value and standard quantity is the same as that of the standard number of people.

[0056] The signal amplifier is equipped with a controller, a standby circuit and a main circuit. The standby circuit is connected to the controller. In the standby state, the main circuit of the signal amplifier is powered off and the standby circuit is powered on. The controller is powered by the standby circuit. In the running state, the standby circuit is powered off and the main circuit is powered on. In the off state, both the standby circuit and the main circuit are powered off.

[0057] The process of controlling the operating state of the signal amplifier in the communication area based on the tendency coefficient includes:

[0058] Compare the real-time obtained tendency coefficient Q with the preset comparison interval Compare, if Then a secondary analysis is performed, and the operating state of the signal amplifier is controlled based on the secondary analysis results. Analyze the numerical value of

[0059] If Q falls into the comparison interval , then control the signal amplifier of the communication area to enter the standby state;

[0060] like Then the signal amplifier of the communication area is controlled to enter the closed state.

[0061] In this embodiment, a process is provided for controlling the operating state of the signal amplifier in the communication area by a tendency coefficient. Specifically, the present invention performs preliminary control on the signal amplifier by real-time acquiring a tendency coefficient that is inversely proportional to the tendency of people to move toward the current communication area. When the tendency coefficient is large, people in the communication areas adjacent to the current communication area are more inclined not to go to the current communication area, and when the tendency coefficient is small, people in the communication areas adjacent to the current communication area are more inclined to go to the current communication area. When the tendency coefficient is large, the signal amplifier is controlled to be turned off, which can save energy and avoid signal overlapping interference. When the tendency coefficient is small, the signal amplifier is controlled to be on standby, and can be started in time when there are people in the current communication area or when there are about to be people. The signal amplifier can be started faster in the standby state, thereby minimizing the possibility that people in the current communication area feel poor network during the startup process.

[0062] The secondary analysis process includes:

[0063] Based on historical data acquisition The value interval is divided into several basic intervals, and the intervals are sorted and numbered according to the values ​​of the right endpoints of the basic intervals;

[0064] Set the prediction interval to obtain the historical data contained in the basic interval The total number of values, then the first number of people who enter the current communication area whose moving direction straight line and direction line have an angle less than the reference angle in the prediction interval under the basic interval, and the first number is obtained and the number of people who enter the current communication area in the basic interval of the historical data is included. The ratio of the total number of values;

[0065] With the interval number as the input layer, the first number and the basic interval in the historical data contain The ratio of the total number of values ​​is the output layer training and establishing a neural network model. When used, the actual input value is , you need to first determine the basic interval where the actual input value is located and then use the basic interval number as input;

[0066] If the value output by the established neural network model is greater than 0.9, the secondary analysis result is output that the signal amplifier needs to be controlled to enter the startup state. If the value output by the established neural network model is not greater than 0.9, the secondary analysis result is output that the signal amplifier needs to be controlled to enter the standby state.

[0067] In this embodiment, a process is provided for predicting the personnel who are about to enter the current communication area through secondary analysis so as to start the signal amplifier in advance. The present invention analyzes the current data and habit data of all personnel whose movement direction points to the current communication area within the monitoring interval, and can meet the control process of starting the signal amplifier in advance with a confidence level of 0.05-0.1. The advantage is that the signal amplifier can be switched from the standby state to the startup state in advance, reducing the problem of poor network experience of users caused by unstable signal quality during the startup process of traditional signal amplifiers.

[0068] The process of entering the startup determination loop in the standby state includes:

[0069] Obtain the actual number of people in the communication area that needs signal amplifier control;

[0070] If the actual number of people is not 0, the signal amplifier is switched to the start state;

[0071] If the actual number of people is 0, the signal amplifier is kept in standby mode.

[0072] The process of obtaining the endpoint value of the comparison interval includes:

[0073] Based on historical data, obtain, for each tendency coefficient, a first number of people who move from other communication areas to the current communication area, out of the total number of people whose moving direction straight line and direction line have an angle less than a reference angle among the people in the communication areas adjacent to the current communication area;

[0074] Set the minimum value of all propensity coefficients corresponding to the state where the ratio of the first number to the total number of people is greater than 0.75 to .

[0075] Set the minimum value of all propensity coefficients corresponding to the state where the ratio of the first number to the total number of people is greater than 0.55 to .

[0076] The preset time range is 1-7 days, the frequency value is the number of times the person goes to the communication area within the preset time, and the reference angle value range is between 15°-30°.

[0077] The preprocessing uses a preset algorithm, the number of people and their identities use a face recognition algorithm, the direction of movement of people uses an optical flow algorithm, and the position coordinates of people are obtained through a spatial positioning algorithm.

[0078] Second, reference Figure 2 The present invention also provides a method for intelligent monitoring of indoor signals based on data preprocessing, comprising the following steps:

[0079] S100, obtaining video information of all persons in the communication area;

[0080] S200, setting a monitoring interval and pre-processing the video information in each communication area within the monitoring interval to obtain reference information, the reference information including the number of people in the communication area, the identities of the people, and the corresponding positions and movement directions of the people;

[0081] S300. Obtaining a propensity coefficient for a communication area based on reference information within all communication areas, the propensity coefficient for the communication area being in direct proportion to the total number of people in communication areas adjacent to the communication area, being in direct proportion to a habit value between the person and the current area obtained based on personnel information of the people in the communication areas adjacent to the communication area, and being in direct proportion to the inverse of the number of people in the communication areas adjacent to the communication area for whom the angle between the straight line containing the moving direction and the direction line is less than the reference angle, the habit value being a frequency value of traveling to the communication area within a preset time period;

[0082] S400 , controlling the operating state of the signal amplifier in the communication area to switch between the start state, the standby state, and the shutdown state based on the tendency coefficient, and entering a start determination loop when the signal amplifier is in the standby state.

[0083] An embodiment of the present application also discloses a system and method for intelligent monitoring of indoor signals based on data preprocessing, including a processor in which a program of any one of the above-mentioned systems and methods for intelligent monitoring of indoor signals based on data preprocessing is run.

[0084] An embodiment of the present application also discloses a storage medium storing a program of any one of the above-mentioned indoor signal intelligent monitoring systems and methods based on data preprocessing.

[0085] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An intelligent indoor signal monitoring system based on data preprocessing, characterized in that: include: A monitoring module, which is used to obtain video information of all people in the communication area; a data preprocessing module, wherein the data preprocessing module sets a monitoring interval and preprocesses the video information in each communication zone within the monitoring interval to obtain reference information, wherein the reference information includes the number of people in the communication zone, the identities of the people, and the corresponding positions and movement directions of the people; a data processing module, wherein the data processing module obtains a propensity coefficient of a communication area based on reference information within all communication areas, the propensity coefficient of the communication area being directly proportional to the total number of people in communication areas adjacent to the communication area, directly proportional to a habit value between the person and the current area obtained based on personnel information of the people in the communication areas adjacent to the communication area, and directly proportional to the inverse of the number of people in the communication areas adjacent to the communication area for whom the angle between the straight line containing the moving direction and the direction line is less than the reference angle, the habit value being a frequency value of traveling to the communication area within a preset time period; The room management module controls the operation state of the signal amplifier in the communication area to switch between the start state, the standby state and the shutdown state based on the tendency coefficient, and enters the start determination loop when the signal amplifier is in the standby state.

2. The intelligent monitoring system for indoor signals based on data preprocessing according to claim 1 is characterized in that: The process of obtaining the propensity coefficient includes: By formula Get the propensity coefficient Q, where 、 and are respectively the preset first weight coefficient, the second weight coefficient and the third weight coefficient and , is the total number of people in the communication area adjacent to the communication area corresponding to the propensity coefficient, The number of people is the preset standard, obtained based on empirical data. It is the sum of the habitual values ​​of the people in the communication area adjacent to the communication area whose moving direction straight line and direction line have an angle smaller than the reference angle in the current communication area. Yes Participation The sum of the preset standard custom values ​​of the accumulated personnel, It is the number of people in the communication area adjacent to the communication area whose angle between the straight line of their moving direction and the direction line is less than the reference angle. It is for The set standard number, N is the actual number of people in the current communication area obtained during the monitoring interval, It is a piecewise function based on the value of N.

3. The intelligent monitoring system for indoor signals based on data preprocessing according to claim 1 is characterized in that: The signal amplifier is provided with a controller, a standby circuit and a main circuit. The standby circuit is connected to the controller. In the standby state, the main circuit of the signal amplifier is powered off and the standby circuit is powered on. The controller is powered by the standby circuit. In the running state, the standby circuit is powered off and the main circuit is powered on. In the closed state, both the standby circuit and the main circuit are powered off.

4. The intelligent monitoring system for indoor signals based on data preprocessing according to claim 1 is characterized in that: The process of controlling the operating state of the signal amplifier in the communication area based on the tendency coefficient includes: Compare the real-time obtained tendency coefficient Q with the preset comparison interval Compare, if Then a secondary analysis is performed, and the operating state of the signal amplifier is controlled based on the secondary analysis result. Analyze the numerical value of If Q falls into the comparison interval , then control the signal amplifier of the communication area to enter the standby state; like Then the signal amplifier of the communication area is controlled to enter the closed state.

5. The intelligent monitoring system for indoor signals based on data preprocessing according to claim 4 is characterized in that: The secondary analysis process includes: Based on historical data acquisition The value interval is divided into several basic intervals, and the intervals are sorted and numbered according to the values ​​of the right endpoints of the basic intervals; Set the prediction interval to obtain the historical data contained in the basic interval The total number of values, then the first number of people who enter the current communication area whose moving direction straight line and direction line have an angle less than the reference angle in the prediction interval under the basic interval, and the first number is obtained and the number of people who enter the current communication area in the basic interval of the historical data is included. The ratio of the total number of values; With the interval number as the input layer, the first number and the basic interval in the historical data contain The ratio of the total number of values ​​is used to train the output layer and establish a neural network model; If the value output by the established neural network model is greater than 0.9, the secondary analysis result is output that the signal amplifier needs to be controlled to enter the startup state. If the value output by the established neural network model is not greater than 0.9, the secondary analysis result is output that the signal amplifier needs to be controlled to enter the standby state.

6. The intelligent monitoring system for indoor signals based on data preprocessing according to claim 1 is characterized in that: The process of entering the startup determination cycle in the standby state includes: Obtain the actual number of people in the communication area that needs signal amplifier control; If the actual number of people is not 0, the signal amplifier is switched to the start state; If the actual number of people is 0, the signal amplifier is kept in standby mode.

7. The intelligent monitoring system for indoor signals based on data preprocessing according to claim 4 is characterized in that: The process of obtaining the endpoint value of the comparison interval includes: Based on historical data, obtain, for each tendency coefficient, a first number of people who move from other communication areas to the current communication area, out of the total number of people whose moving direction straight line and direction line have an angle less than a reference angle among the people in the communication areas adjacent to the current communication area; The minimum value of all the propensity coefficients corresponding to the state where the ratio of the first number to the total number of personnel is greater than 0.75 is set to ; The minimum value of all the tendency coefficients corresponding to the state where the ratio of the first number to the total number of people is greater than 0.55 is set to .

8. The intelligent monitoring system for indoor signals based on data preprocessing according to claim 1 is characterized in that: The preset time range is 1-7 days, the frequency value is the number of times the person goes to the communication area within the preset time, and the reference angle value range is between 15°-30°.

9. The intelligent monitoring system for indoor signals based on data preprocessing according to claim 1 is characterized in that: The preprocessing adopts a preset algorithm, the number of personnel and personnel identity adopts a face recognition algorithm, the personnel movement direction adopts an optical flow algorithm, and the personnel position coordinates are obtained through a spatial positioning algorithm.

10. A method for intelligent monitoring of indoor signals based on data preprocessing, characterized in that: The intelligent monitoring system for indoor signals based on data preprocessing as claimed in any one of claims 1 to 8 comprises the following steps: Obtain video information of all personnel in the communication area; Setting a monitoring interval and pre-processing the video information in each communication area within the monitoring interval to obtain reference information, the reference information including the number of people in the communication area, the identity of the people, and the corresponding positions and movement directions of the people; Obtaining a propensity coefficient for a communication area based on reference information within all communication areas, the propensity coefficient for the communication area being in direct proportion to the total number of people in communication areas adjacent to the communication area, being in direct proportion to a habit value between the person and the current area obtained based on personnel information of the people in the communication areas adjacent to the communication area, and being in direct proportion to the inverse of the number of people in the communication areas adjacent to the communication area for whom the angle between the straight line containing the moving direction and the direction line is less than the reference angle, wherein the habit value is a frequency value of traveling to the communication area within a preset time period; The operation state of the signal amplifier in the communication area is controlled to switch between the start state, the standby state and the shutdown state based on the tendency coefficient, and the start determination loop is entered when the signal amplifier is in the standby state.

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