A method for monitoring the status of personnel

Abstract

The present invention discloses a method for monitoring personnel status, which includes step S1: installing a radar required for the current monitoring environment to enable the radar and the control machine to monitor the current monitoring environment; step S2: the radar monitors the radar targets in the monitoring environment in real time, samples the echo signals, and obtains the state characteristic parameters of the radar targets through processing, so as to obtain the state determination result of the current radar target through the state characteristic parameters; step S3: the control machine collects the state determination results of the radar targets at the sampling time points reported by all the radars in the monitoring environment according to the set sampling period. The method for monitoring personnel status disclosed by the present invention is used to solve the problems of poor scene generality, high misjudgment risk, and complex debugging process in the prior art.

Description

Technical Field

[0001] The present invention belongs to the technical field of personnel status monitoring, and particularly relates to a personnel status monitoring method. Background Art

[0002] In specific areas, such as public security areas, public accommodation places, and family residences, etc., the status of all or specific personnel is monitored to obtain basic data for further processing when necessary. For such monitoring applications, the existing technologies or methods mainly include:

[0003] 1. Camera monitoring method

[0004] Installing a camera device to obtain real-time image information of the personnel entering the monitoring area and performing further data processing and determination is a common method for personnel status monitoring in public security areas.

[0005] 2. Portable device method

[0006] Carrying a wearable device and obtaining the status information of the personnel carrying the device through the status sensors in the device and performing further data processing and determination is a common method for monitoring the status of specific personnel such as the elderly and children.

[0007] 3. Radar monitoring method

[0008] Installing a radar device to obtain radar echo information of the personnel entering the monitoring area and performing further data processing and determination is a common method for personnel status monitoring in specific areas with privacy requirements.

[0009] The main problems existing in the existing technologies or methods are described as follows:

[0010] 1. For the camera monitoring method

[0011] Directly obtaining the personnel status image has a risk of privacy infringement without the permission of the monitored personnel. Especially in guest rooms of public accommodation places, non-key public security areas, etc., the camera monitoring method is prohibited by law.

[0012] 2. For the portable device method

[0013] The device being carried is a prerequisite for realizing monitoring. To meet this condition, the cost needs to be increased. And this method cannot be used in public places or areas where the monitored people are unspecified.

[0014] 3. For the radar monitoring method

[0015] It is mainly divided into the following three types of methods:

[0016] 1) Azimuth change determination method. The patent "A Detection Device for Human Fall" with the application number CN202111362880 proposes to collect and image the external shape of a moving radar target such as a human body through the radar echo, and capture the structural features on the human body. For example, it captures that the head structure is similar to a circle. When this structural feature is different from the orientation that a human body should have when standing or walking, it is determined that the human body state has changed, such as a human body falling.

[0017] This method requires obtaining the structural feature parameters of a certain part of the human body through the radar echo. In basic radar applications, the radar echo is a response to the entire shape or contour of the radar target, such as a human body. To calculate the azimuth information of a specific part of the human body from the echo, costs need to be invested, and it may be necessary to apply technologies in other fields for new research.

[0018] 2) Behavior pattern determination method

[0019] The patent "An Elderly Behavior Monitoring System and Method Based on Millimeter-Wave Radar" with the application number CN2021112070471 proposes to first obtain an indoor background map using a millimeter-wave radar, learn the law of the change in the radar echo spectrum brought about by the daily actions of the elderly, and finally perform logical processing. When the determination result is that the elderly have fallen, the feedback is sent to the monitoring end.

[0020] This method requires constructing a background map and generating logical rules that conform to the living habits of the elderly through the radar echo; in addition, there are also requirements for the accuracy of the background map, the accuracy of the logical rules, and the installation azimuth accuracy of the device. The implementation of the above two requirements requires a large amount of data, which also increases the debugging and usage costs.

[0021] 3) State change determination method

[0022] The patent "A Human Detection Method and Device Based on Millimeter-Wave" with the application number CN201810981493 proposes to obtain the real-time radar target height and the target height change speed through the radar echo, and compare them with the set values of the height threshold and the height change speed threshold. When the radar target is a human body, the comparison result is used to determine whether the person has fallen.

[0023] This method requires calculating the target height through the radar echo. The problems here are: when the radar beam direction is in the same straight line as the human body, the calculation accuracy is the highest; in other cases, such as when the human body moves, the calculation accuracy will decrease; in addition, when there are other large targets in the radar echo environment, such as electrical appliances, the ground, etc., interfering, the calculation accuracy will decrease. The above two points may both increase the risk that the calculation accuracy decreases to the point where the target height cannot be obtained.

[0024] In addition, for this method, it is necessary to set a threshold for the height change speed. When a person migrates from a standing or walking state to a falling state, the state change speed will vary greatly due to different reasons for the state migration: sudden reasons related to the environment and various different disease reasons may all result in different state change speeds; at the same time, different surrounding environmental conditions during a fall, such as whether there is active or passive obstruction during the fall process, may also affect the state change speed. The above two points pose high requirements for the setting of the height change speed threshold, which increases the cost and the risk of misjudgment.

[0025] Therefore, in view of the above problems, further improvements are made. Summary of the Invention

[0026] The main object of the present invention is to provide a method for monitoring the state of a person, which is used to solve the problems of poor scene versatility, high misjudgment risk, and complex debugging process in the prior art.

[0027] To achieve the above object, the present invention provides a method for monitoring the state of a person, which monitors the state of a person (i.e., a radar target) through a radar, and includes the following steps:

[0028] Step S1: Install the radar required for the current monitoring environment to enable the radar and the control machine to monitor the current monitoring environment;

[0029] Step S2: The radar performs real-time monitoring on the radar target in the monitoring environment, samples the echo signal, and obtains the state characteristic parameters of the radar target through processing, so as to obtain the state determination result (including motion, micro-motion, and static) of the current radar target through the state characteristic parameters;

[0030] Step S3: The control machine collects the state determination results of the radar target at the sampling time points reported by all the radars in the monitoring environment according to the set sampling period, and combines the processing information including scene parameters and logical rules to obtain the final state monitoring result of the radar target.

[0031] As a further preferred technical solution of the above technical solution, step S1 is specifically implemented as the following steps:

[0032] Step S1.1: The radar wave generated by the radar required for the current monitoring environment should, on the one hand, be able to monitor the entrance and exit conditions of the monitoring environment, and on the other hand, enable the monitoring range of the radar to cover more areas of the monitoring environment, so as to achieve the coverage of the monitoring range with the least number of radars;

[0033] Step S1.2: Set the control machine in the monitoring environment, and then optimize the installation position and number of radars in the monitoring environment again and improve the monitoring accuracy during monitoring.

[0034] As a further preferred technical solution of the above technical solution, in step S2, after the radar calculates the real-time measurement results within a sampling period according to statistical methods and obtains the results, it only compares with the threshold range values of the steady-state typical types of personnel limb movements to give the current state determination result of the front radar target. The functional relationship between the state determination result of the radar and the personnel state parameters is expressed as:

[0035] R = f(m, o, s, r, d, p, t);

[0036] Wherein, R is the state determination result given by the radar;

[0037] m, o, and s are the state parameters of personnel movement, micro-movement, and stillness respectively;

[0038] r, d, and p are the distance, direction, and azimuth state parameters between the radar and the personnel respectively;

[0039] t is the statistical period.

[0040] As a further preferred technical solution of the above technical solution, the controller is further set as follows:

[0041] Step S1.2.1: Set the sampling period. The sampling interval when the controller works. The controller samples the state determination results reported by all radars in the monitoring environment at the sampling interval, calculates the state of the current radar target after obtaining the determination results at the sampling time points, and compares the state of the current radar target with several (preset) recent states to confirm whether the state of the current radar target has migrated. The sampling period T has a value range of:

[0042] Ta < T < (Tb - Tc) / 3;

[0043] Ta is the longest time interval required for the state migration of the radar target;

[0044] Tb is the longest time interval between the occurrence of an abnormal situation and the best intervention and disposal;

[0045] Tc is the longest time interval between the occurrence of an alarm event caused by an abnormal situation and the intervention;

[0046] The controller uses the same sampling period for all radars in the monitoring environment, or uses different sampling periods including sub-regions, dates, and time periods;

[0047] Step S1.2.2: Set the environmental weight parameters. For radars in different regions and different periods of the entire monitoring environment, different monitoring weight parameters are assigned to different radars according to the monitoring importance;

[0048] Step S1.2.3: Set the logical rule parameters (premise: when the radar gives a determination result that a person enters the monitoring environment and has not given a determination result of the state that the person leaves the monitoring environment). Among them:

[0049] When the radar gives a determination result that the person is in an idle state, the controller outputs according to the stationary state and starts the alarm process (i.e., when the radar is installed, there is no need to consider whether the stationary state of the person can be monitored and determined);

[0050] For the standing state of the person in the monitoring environment, determine the distance range in which the micro-motion state of the person measured by the radar occurs, so that the controller can determine the non-moving state outside the distance range given by the radar and start the alarm process (i.e., when the radar is installed, it is necessary to consider that the radar can distinguish the standing and non-standing states of the person through distance measurement).

[0051] As a further preferred technical solution of the above technical solution, the functional relationship between the state monitoring result finally output by the controller and the response results of all radars in the monitoring environment can be expressed as:

[0052] S = F(W1*F1(R1,L1,T1),W2*F2(R2,L2,T2),…,Wn*Fn(Rn,Ln,Tn));

[0053] S is the state monitoring result of the controller;

[0054] W1, W2…Wn are the environmental weight parameters of each radar in the monitoring environment;

[0055] Fn(Rn,Ln,Tn) is the response parameter of the nth radar given by the determination function Fn for the nth radar response result Rn sampled at intervals of Tn and applying the logical rule Ln.

[0056] As a further preferred technical solution of the above technical solution, in step S3, set the monitoring environment as a bathroom and use two radars. The first radar is installed above the outside of the bathroom entrance to monitor whether there are people entering or leaving the bathroom, and the second radar is installed above the inside of the bathroom. The monitoring process is as follows:

[0057] Step S3.1: When no one enters the bathroom, the state monitoring result output by the controller is the idle state, and the state parameters are described as:

[0058] a. Related to the first radar:

[0059] Environmental weight parameter W1_1;

[0060] Response parameter F1(R1,L1,T1)_idle;

[0061] b. Related to the second radar:

[0062] Environmental weight parameter W2_0;

[0063] Response parameter F2(R2,L2,T2)_idle;

[0064] c. Control machine status monitoring result output S_idle;

[0065] Step S3.2: When a person enters the bathroom, the status monitoring result output by the first radar changes from the idle state to the response state, and the status parameters are described as:

[0066] a. Status parameters of the person's movement, micro-movement, and stillness m, o, s_movement;

[0067] b. Distance r between the radar and the person is greater than the entry / exit determination distance;

[0068] c. Person's movement direction d_away;

[0069] d. Person's movement azimuth p_not enabled;

[0070] e. Sampling period t_50 milliseconds (assumed to be the set value after radar debugging);

[0071] If it is necessary to improve the determination accuracy of a person entering or exiting the bathroom, for the entry / exit determination distance of the above parameter r, first set it in the control machine according to the relationship between the height of the person being monitored and the radar installation position, or enable the azimuth value p and perform linkage calculation processing with the r value in the control machine;

[0072] Step S3.3: The status monitoring result of the control machine switches from the idle state to the response state, and the status parameters are described as:

[0073] a. Related to the first radar:

[0074] Environmental weight parameter W1_1;

[0075] Response parameter F1(R1,L1,T1)_enter;

[0076] b. Related to radar 2:

[0077] Environmental weight parameter W2_0;

[0078] Response parameter F2(R2,L2,T2)_idle;

[0079] Step S3.4: During the person's shower, the second radar outputs the real-time status determination result, and the status parameters are described as:

[0080] a. Status parameters of the person's movement, micro-movement, and stillness m, o, s_movement, micro-movement, stillness or idle state;

[0081] b. The distance r_ between the radar and the person is not enabled;

[0082] c. The movement direction d_ of the person is not enabled;

[0083] d. The movement azimuth p_ of the person is not enabled;

[0084] e. The sampling period t_ is 50 milliseconds (assumed to be the set value after radar debugging);

[0085] If it is necessary to improve the determination accuracy of the micro-movement state of the person, enable the r value and the p value, and perform linkage calculation processing in the control machine;

[0086] Step S3.5: During the entire response state of the monitoring process by the control machine, the state parameters are described as:

[0087] a. Related to the first radar:

[0088] The environmental weight parameter W1_ is 0.5;

[0089] The response parameter F1(R1,L1,T1)_ is idle;

[0090] b. Related to the second radar:

[0091] The environmental weight parameter W2_ is 0.5;

[0092] The response parameter F2(R2,L2,T2)_ is in the state of movement, micro-movement, static or idle;

[0093] c. The monitoring output result S_ of the control machine is normal or abnormal:

[0094] The monitoring output result S of the control machine is normal or abnormal, which is determined by the control machine comparing the F2 parameter of the second radar, that is, the current state of the radar target with the states of the previous several nearest targets, to confirm whether the target state migrates and whether the migration triggers an alarm;

[0095] Step S3.6: When a person leaves the bathroom, the first radar outputs the real-time state determination result, and the state parameters are described as:

[0096] a. The state parameters m, o, s_ of the person's movement, micro-movement, and static are movement;

[0097] b. The distance r_ between the radar and the person is less than the entry / exit determination distance;

[0098] c. The movement direction d_ of the person is away;

[0099] d. The movement azimuth p_ of the person is not enabled;

[0100] e. The sampling period t_ is 50 milliseconds (assumed to be the set value after radar debugging);

[0101] Step S3.7: The monitoring output of the control machine switches from the response state to the idle state, and the state parameters are described as follows:

[0102] a. Related to the first radar:

[0103] Environmental weight parameter W1_0.5;

[0104] Response parameter F1(R1,L1,T1)_leave;

[0105] b. Related to the second radar:

[0106] Environmental weight parameter W2_0.5;

[0107] Response parameter F2(R2,L2,T2)_idle;

[0108] c. Monitoring output result S of the control machine_leave;

[0109] Step S3.8: Return to the state of Step S3.1.

[0110] The beneficial effects of the present invention are as follows:

[0111] 1. Low technical cost

[0112] In the present invention, in all echo measurement processes, the radar regards the human body as a whole target without the need to obtain the structural characteristic parameters of a certain part of the human body. It should be noted that except for the motion state, for other body states of the human body with no obvious spatial displacement as a whole, the human body is still regarded as a whole target, and there is no need to detect and determine specific moving parts. In this way, throughout the monitoring process, there is no need to conduct research beyond the basic radar technology.

[0113] In addition, the radar only gives a judgment result for the stable state of the target. In personnel state monitoring, the judgment results of the radar response state only include 3 typical stable states of limb movement of human body movement, micro-movement and stillness, and do not target instantaneous states such as falling, sitting down, etc. for the setting and calculation of characteristic parameters. That is, it does not obtain characteristic parameters for the state transition process, such as there is no need to measure and set thresholds for height change speed, etc. It should be noted that in the present invention, it is necessary to set the sampling period of the control machine, and the accuracy requirement and acquisition difficulty are reduced compared with the characteristic parameters of the state transition process. In addition, in the present invention scheme, it is preferably to obtain the distance parameter between the radar and the target, but compared with obtaining the target height parameter, the difficulty is reduced and the accuracy is improved for the basic radar technology.

[0114] 2. Low installation cost

[0115] In the present invention, preferably, the sampling period of the control machine is set and debugged according to the original monitoring requirements, such as the event characteristics of abnormal conditions; and preferably, different environmental weight parameters and logic rules are assigned to the monitoring radars in different regions on the control machine. Compared with the prior art, which constructs a background map and generates logic rules that conform to the living habits of people through radar echoes, the accuracy requirements of these settings and debugging processes are reduced, and the amount of data required is small.

[0116] In addition, in the present invention, the real-time data parameters of the radar echo are directly used for determination, without the need for costly learning preprocessing of the state parameters of the environment and human behavior. BRIEF DESCRIPTION OF THE DRAWINGS

[0117] Figure 1 is a schematic structural diagram of a method for monitoring human status according to the present invention.

[0118] Figure 2 is a schematic flowchart of a method for monitoring human status according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0119] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles defined in the following description can be applied to other embodiments, variations, improvements, equivalent embodiments, and other technical solutions that do not depart from the spirit and scope of the present invention.

[0120] In the preferred embodiments of the present invention, those skilled in the art should note that the monitoring environment and personnel involved in the present invention can be regarded as the prior art.

[0121] The terms "personnel" and "human body" in the embodiments are the same concept.

[0122] Preferred embodiments.

[0123] The present invention discloses a method for monitoring human status, which monitors the status of a person (i.e., a radar target) through a radar, and includes the following steps:

[0124] Step S1: Install the radar required for the current monitoring environment to meet the monitoring work of the radar and the control machine for the current monitoring environment;

[0125] Step S2: The radar performs real-time monitoring on the radar targets in the monitoring environment, samples the echo signals, and obtains the state characteristic parameters of the radar targets through processing, so as to obtain the state determination results (including movement, micro-movement, and stillness) of the current radar targets through the state characteristic parameters;

[0126] Step S3: The control machine collects the status determination results of the radar targets at the sampling time points reported by all the radars in the monitored environment according to the set sampling period, and combines the processing information including scene parameters and logical rules, so as to obtain the final status monitoring result of the radar targets.

[0127] Specifically, step S1 is specifically implemented as the following steps:

[0128] Step S1.1: The radar waves generated by the radars required for the current monitored environment should, on the one hand, be able to monitor the entrance and exit conditions of the monitored environment, and on the other hand, the monitoring range of the radar should cover more areas of the monitored environment, so as to achieve the coverage of the monitoring range with the least number of radars.

[0129] Step S1.2: Set the control machine in the monitored environment, and then optimize the installation positions and the number of radars in the monitored environment again and improve the monitoring accuracy during monitoring.

[0130] More specifically, after the radar calculates the real-time measurement results within a sampling period according to statistical methods, it only compares with the threshold range values of the steady-state typical types of human body movement, and gives the current status determination result of the front radar target. The functional relationship between its status determination result of the radar and the human status parameters is expressed as:

[0131] R = f(m, o, s, r, d, p, t);

[0132] Among them, R is the status determination result given by the radar;

[0133] m, o, and s are the status parameters of human movement, micro-movement, and stillness respectively;

[0134] r, d, and p are the distance, direction, and azimuth status parameters between the radar and the human;

[0135] t is the statistical period.

[0136] Furthermore, the following settings are also made for the control machine:

[0137] Step S1.2.1: Set the sampling period. The sampling interval when the control machine works. The control machine samples the status determination results reported by all the radars in the monitored environment according to the sampling interval, calculates the status of the current radar target after obtaining the determination results at the sampling time points, and compares the current status of the radar target with several (preset) recent statuses to confirm whether the status of the current radar target has migrated. The sampling period T has a value range of:

[0138] Ta < T < (Tb - Tc) / 3;

[0139] Ta is the longest time interval required for the state transition of the radar target;

[0140] Tb is the longest time interval between the occurrence of an abnormal situation and the best intervention and disposal;

[0141] Tc is the longest time interval between the occurrence of an alarm event caused by an abnormal situation and the intervention;

[0142] The control machine uses the same sampling period for all radars in the monitoring environment, or uses different sampling periods including sub-regions, dates, and time periods;

[0143] Step S1.2.2: Set the environmental weight parameters. For radars in different regions and different periods of the entire monitoring environment, different monitoring weight parameters are assigned to different radars according to the monitoring importance;

[0144] Step S1.2.3: Set the logical rule parameters (the premise is: when the radar gives a determination result that a person enters the monitoring environment, as long as the determination result of the state that the person leaves the monitoring environment is not given). Among them:

[0145] When the radar gives a determination result that the person is in an idle state, the control machine outputs according to the stationary state and starts the alarm processing (that is, the radar is installed, and it does not need to consider whether the stationary state of the person can be monitored and determined);

[0146] For the standing state of a person in the monitoring environment, determine the distance range where the micro-motion state of the person measured by the radar occurs, so that the control machine determines the non-motion state outside the distance range given by the radar and starts the alarm processing (that is, the radar is installed, and it is necessary to consider that the radar can distinguish the standing and non-standing states of the person through distance measurement).

[0147] Furthermore, in step S3, the functional relationship between the state monitoring result finally output by the control machine and the response results of all radars in the monitoring environment can be expressed as:

[0148] S = F(W1*F1(R1,L1,T1),W2*F2(R2,L2,T2),…,Wn*Fn(Rn,Ln,Tn));

[0149] S is the state monitoring result of the control machine;

[0150] W1, W2…Wn are the environmental weight parameters of each radar in the monitoring environment;

[0151] Fn(Rn,Ln,Tn) is the response parameter of the nth radar given by the determination function Fn, which samples the response result Rn of the nth radar at intervals of Tn and applies the logical rule Ln.

[0152] Preferably, in step S3, with reference to Table 1, the monitoring environment is set as the bathroom, and two radars are used. The first radar is installed above the outside of the bathroom entrance to monitor whether there is anyone entering or leaving the bathroom, and the second radar is installed above the inside of the bathroom. The monitoring process is as follows:

[0153] Step S3.1: When no one enters the bathroom, the status monitoring result output by the controller is the idle state, and the status parameters are described as:

[0154] a. Related to the first radar:

[0155] Environmental weight parameter W1_1;

[0156] Response parameter F1(R1,L1,T1)_idle;

[0157] b. Related to the second radar:

[0158] Environmental weight parameter W2_0;

[0159] Response parameter F2(R2,L2,T2)_idle;

[0160] c. Controller status monitoring result output S_idle;

[0161] Step S3.2: When someone enters the bathroom, the status monitoring result output by the first radar changes from the idle state to the response state, and the status parameters are described as:

[0162] a. Status parameters of the person's movement, micro-movement, and stillness m, o, s_movement;

[0163] b. Distance r between the radar and the person is greater than the entry / exit determination distance;

[0164] c. Person's movement direction d_away;

[0165] d. Person's movement azimuth p_not enabled;

[0166] e. Sampling period t_50 milliseconds (assumed to be the set value after radar debugging);

[0167] If it is necessary to improve the determination accuracy of a person entering or leaving the bathroom, for the entry / exit determination distance of the above parameter r, first set it in the controller according to the relationship between the height of the monitored person and the radar installation position, or enable the azimuth value p and perform linkage calculation processing with the r value in the controller;

[0168] Step S3.3: The status monitoring result of the controller switches from the idle state to the response state, and the status parameters are described as:

[0169] a. Related to the first radar:

[0170] Environmental weight parameter W1_1;

[0171] Response parameter F1(R1, L1, T1)_Entry;

[0172] b. Related to Radar 2:

[0173] Environmental weight parameter W2_0;

[0174] Response parameter F2(R2, L2, T2)_Idle;

[0175] Step S3.4: During the personnel shower, the second radar outputs the real-time status determination result, and the status parameters are described as:

[0176] a. Status parameters m, o, s of personnel movement, micro-movement, and stillness_Movement, micro-movement, stillness, or idle state;

[0177] b. Distance r between the radar and the personnel_Not enabled;

[0178] c. Personnel movement direction d_Not enabled;

[0179] d. Personnel movement azimuth p_Not enabled;

[0180] e. Sampling period t_50 milliseconds (assumed to be the set value after radar debugging);

[0181] If it is necessary to improve the determination accuracy of the personnel micro-movement state, enable the r value and the p value, and perform linkage calculation processing in the control machine;

[0182] Step S3.5: During the entire response state of the monitoring process by the control machine, the status parameters are described as:

[0183] a. Related to the first radar:

[0184] Environmental weight parameter W1_0.5;

[0185] Response parameter F1(R1, L1, T1)_Idle;

[0186] b. Related to the second radar:

[0187] Environmental weight parameter W2_0.5;

[0188] Response parameter F2(R2, L2, T2)_Movement, micro-movement, stillness, or idle state;

[0189] c. Control machine monitoring output result S_Normal, abnormal:

[0190] The control machine monitoring output result S is normal or abnormal, which is determined by the control machine comparing the F2 parameter of the second radar, that is, the current radar target state with the states of the previous few closest targets, to confirm whether the target state migrates and whether the migration triggers an alarm.

[0191] Step S3.6: When a person leaves the bathroom, the first radar outputs the real-time status determination result, and the status parameters are described as follows:

[0192] a. Status parameters m, o, s_movement of the person's movement, micro-movement, and stillness;

[0193] b. The distance r between the radar and the person is less than the entry / exit determination distance;

[0194] c. The movement direction d of the person is away;

[0195] d. The movement azimuth p of the person is not enabled;

[0196] e. Sampling period t is 50 milliseconds (assumed to be the set value after radar debugging);

[0197] Step S3.7: The monitoring output of the controller switches from the response state to the idle state, and the status parameters are described as follows:

[0198] a. Related to the first radar:

[0199] Environmental weight parameter W1 is 0.5;

[0200] Response parameter F1(R1, L1, T1) is leave;

[0201] b. Related to the second radar:

[0202] Environmental weight parameter W2 is 0.5;

[0203] Response parameter F2(R2, L2, T2) is idle;

[0204] c. Monitoring output result S of the controller is leave;

[0205] Step S3.8: Return to the state of Step S3.1.

[0206] As Figure 1 shown, devices 11, 12, and 1n are all the same radar modules or component radars. As the most basic status determination devices in the monitoring environment, they send radar detection beams, sample the echoes, obtain the target status characteristic parameters, and give the real-time response results of the target status.

[0207] In the present invention, the radar only gives the response result to the real-time status of the target, without considering whether the determination result is an unstable state, that is, without considering whether the target status migration occurs during the determination process. In the personnel status monitoring, the personnel entering the monitoring area are the radar targets. That is, after the radar calculates the real-time measurement results within a statistical period according to the statistical method and obtains the results, it only compares with the threshold range values of the steady-state typical types of personnel limb movements to give the determination result of the current state.

[0208] It should be noted that the statistical period (sampling period) needs to be set according to the target state characteristics and monitoring requirements. When setting it, the minimum time required to determine various typical stable states of the target with a certain accuracy mainly needs to be considered.

[0209] In daily life, three typical steady-state types of human body limb movement are described as follows:

[0210] 1) The moving state refers to the body state in which the whole human body has an obvious spatial displacement.

[0211] 2) The micro-moving state refers to the body state in which some parts of the human body have obvious movements. For example, in daily life scenarios such as writing, talking, and cooking, the body states in which some parts of the body such as the upper and lower limbs and the head may have movements.

[0212] 3) The static state refers to the body state in which both the whole human body and its parts have no obvious spatial displacement.

[0213] Preferably, the radar will also give the distance parameter, direction parameter, and azimuth parameter between the radar and the target. The distance parameter refers to the distance state information between the target and the radar; the direction parameter refers to the two displacement state information of approaching and moving away between the target and the radar; the azimuth parameter refers to the angle state information between the target and the radar.

[0214] The control machine is a dedicated device integrating hardware and software, and is also the monitoring control and result output device in the whole monitoring application. The control machine can be the control device unit at the highest level of the monitoring system, or a wireless communication module can be added and it can be joined to the indoor wireless local area network, and then mobile control of the control machine can be realized through the application software on the mobile device.

[0215] The radar state and the output of the control machine in the above monitoring process are sorted out as shown in Table 1:

[0216] Table 1

[0217]

[0218] In Table 1 (Radar 1 is the first radar and Radar 2 is the second radar), the response parameter is the value of the continuous sampling points obtained by the control machine sampling the radar response result according to the sampling period. Or rather, the response parameter n is the response result of the regional radar at the current sampling point of the control terminal, and the response parameters n - 1 and n - 2 are the response results of the previous two sampling points. In addition, after a person enters the bathroom, the radar state and the output result of the control machine are only examples of possible situations, and there is no order of events.

[0219] Preferably, the key point of the present invention is to use a millimeter-wave radar to obtain the real-time response value of the behavior state of the personnel entering the monitoring area, map it to the steady-state typical types of the personnel's limb movements, and then combine scene parameters and logic rule parameters, etc. to judge monitoring events, so as to achieve efficient systematic monitoring.

[0220] The present invention has the following characteristic advantages:

[0221] 1: In the radar monitoring method for personnel status, various typical types of stable states of personnel limb movements are divided, without considering various possible instantaneous states.

[0222] 2: In the radar monitoring method for personnel status, the radar response value is mapped to the steady-state typical types of personnel limb movements.

[0223] 3: In the radar monitoring method for personnel status, for the sampling calculation of the radar real-time response value, scene parameters such as the sampling period and environmental weight, and logic rule parameters are selected according to the scene characteristics.

[0224] 4: In the radar monitoring method for personnel status, a control machine is set as the upper computer to complete the systematic processing of radar data.

[0225] 5: Combining features 1, 2, 3, and 4, whether the personnel status radar monitoring system alarms is determined by the control machine comparing the continuous 3 above-mentioned steady-state typical types of personnel limb movements output by the monitoring, and confirming whether the state migrates and whether the migration triggers an alarm.

[0226] 6: The radar response value described in feature 2 includes the distance, direction, and azimuth state parameters between the radar and the human body.

[0227] 7: For the sampling period T described in feature 3, the value range is: Ta < T < (Tb - Tc) / 3. The meanings of Ta, Tb, and Tc are:

[0228] Ta: The longest time interval required for the target state to migrate;

[0229] Tb: The longest time interval between the occurrence of an abnormal situation and the best intervention and disposal;

[0230] Tc: The longest time interval between the occurrence of an alarm event caused by an abnormal situation and the intervention;

[0231] 8: The sampling period described in feature 3 is related to the area where the radar is located, the current date, and the current time period.

[0232] 9: The environmental weight parameter described in feature 3 is related to the area where the radar is located and the area where the personnel are currently located.

[0233] 10: The controller described in Feature 4 online configures parameters such as the measurement statistics method, threshold, and working status of the radars within the area.

[0234] 11: The controller described in Feature 4 determines whether the measurement results of the parameters described in Feature 6 are normal or abnormal.

[0235] 12: After adding a wireless communication module and joining the indoor wireless local area network, the controller described in Feature 4 realizes mobile control through the application software on the mobile device.

[0236] It is worth mentioning that the technical features related to monitoring the environment and personnel involved in this invention patent application should be regarded as the prior art. For the specific structures, working principles, and possible control methods and spatial layout methods of these technical features, conventional selections in the art can be adopted, and they should not be regarded as the inventive points of this invention patent. This invention patent will not be further specifically elaborated.

[0237] For those skilled in the art, it is still possible to modify the technical solutions described in the foregoing embodiments or perform equivalent replacements on some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of this invention shall be included in the protection scope of this invention.

Claims

1. A method for monitoring personnel status, which monitors personnel status through radar, and is characterized in that, It includes the following steps: Step S1: Install the radar required for the current monitoring environment to enable the radar and the control machine to monitor the current monitoring environment; The specific implementation of step S1 is as follows: Step S1.1: The radar waves generated by the radar required for the current monitoring environment should, on the one hand, be sufficient to monitor the entrance and exit conditions of the monitoring environment, and on the other hand, the monitoring range of the radar should cover more areas of the monitoring environment, so as to achieve the coverage of the monitoring range with the minimum number of radars; Step S1.2: Set the control machine in the monitoring environment, and then optimize the installation position and quantity of the radar in the monitoring environment again and improve the monitoring accuracy during monitoring; Step S2: The radar monitors the radar targets in the monitoring environment in real time, samples the echo signals, and obtains the state characteristic parameters of the radar targets through processing, so as to obtain the state determination result of the current radar target through the state characteristic parameters; Step S3: According to the set sampling period, the control machine collects the state determination results of all radars reported in the monitoring environment at the sampling time points, and combines the processing information including scene parameters and logical rules to obtain the final state monitoring result of the radar target; In step S2, after the radar calculates the real-time measurement results within a sampling period by statistical methods, it only compares with the threshold range values of the steady-state typical types of human limb movements to give the current state determination result of the previous radar target. The functional relationship between the state determination result of the radar and the human state parameters is expressed as: ； Where, R is the state determination result given by the radar; m, o, and s are the state parameters of human movement, micro-movement, and stillness respectively; r, d, and p are the distance, direction, and azimuth state parameters between the radar and the person respectively; t is the statistical period.

2. The method for monitoring personnel status according to claim 1, characterized in that, In step S3, in step S1.2, the control machine is also set as follows: Step S1.2.1: Set the sampling period. The sampling interval when the control machine works. The control machine samples the state determination results reported by all radars in the monitoring environment at the sampling interval, calculates the state of the current radar target after obtaining the determination results at the sampling time points, and compares the current state of the radar target with the nearest several states to confirm whether the state of the current radar target migrates. The sampling period T has a value range of: ； Ta is the longest time interval required for the state migration of the radar target; Tb is the longest time interval between the occurrence of an abnormal situation and the best intervention and disposal; Tc is the longest time interval between the occurrence of an alarm event caused by an abnormal situation and the intervention and intervention; The control machine uses the same sampling period for all radars in the monitoring environment, or uses different sampling periods including sub-regions, dates, and time periods; Step S1.2.2: Set the environmental weight parameters. For radars in different regions and different periods of the entire monitoring environment, different monitoring weight parameters are assigned to different radars according to the monitoring importance; Step S1.2.3: Set the logical rule parameters, where: When the radar gives a determination result that the person is in an idle state, the control machine outputs according to the stationary state and starts alarm processing; For the standing state of a person in the monitoring environment, determine the distance range in which the micro-motion state of the person measured by the radar occurs, so that the control machine determines the non-motion state beyond the distance range given by the radar and starts alarm processing.

3. The method for monitoring personnel status according to claim 2, characterized in that, In step S3, the functional relationship between the final state monitoring result output by the control machine and all radar response results in the monitoring environment is expressed as: ； S is the state monitoring result of the control machine; W1, W2…Wn are the environmental weight parameters of each radar in the monitoring environment; Fn(Rn,Ln,Tn) is the response parameter of the nth radar given by the determination function Fn, where the nth radar response result Rn is sampled at intervals of Tn and the logical rule Ln is applied.

4. The method for monitoring personnel status according to claim 3, characterized in that, In step S3, the monitoring environment is set as a bathroom and two radars are used. The first radar is installed above the outside of the bathroom entrance to monitor whether there is anyone entering or leaving the bathroom, and the second radar is installed above the inside of the bathroom. The monitoring process is as follows: Step S3.1: When no one enters the bathroom, the state monitoring result output by the control machine is the idle state, and the state parameters are described as: a. Related to the first radar: Environmental weight parameter W1_1; Response parameter F1(R1,L1,T1)_idle; b. Related to the second radar: Environmental weight parameter W2_0; Response parameter F2(R2,L2,T2)_idle; c. Control machine state monitoring result output S_idle; Step S3.2: When someone enters the bathroom, the state monitoring result output by the first radar changes from the idle state to the response state, and the state parameters are described as: a. State parameters of the person's movement, micro-movement, and stillness m, o, s_moving; b. Distance r between the radar and the person_greater than the entry / exit determination distance; c. Person's movement direction d_away; d. Person's movement azimuth p_not enabled; e. Sampling period t_50 milliseconds; If it is necessary to improve the determination accuracy of a person entering or leaving the bathroom, for the entry / exit determination distance of the above parameter r, first set it in the control machine according to the relationship between the height of the person being monitored and the installation position of the radar, or enable the azimuth value p and perform linkage calculation processing with the r value in the control machine; Step S3.3: The state monitoring result of the control machine switches from the idle state to the response state, and the state parameters are described as: a. Related to the first radar: Environmental weight parameter W1_1; Response parameter F1(R1,L1,T1)_enter; b. Related to radar 2: Environmental weight parameter W2_0; Response parameter F2(R2,L2,T2)_idle; Step S3.4: During the person's shower process, the second radar outputs a real-time state determination result, and the state parameters are described as: a. State parameters of the person's movement, micro-movement, and stillness m, o, s_moving, micro-moving, still or idle state; b. Distance r between the radar and the person_not enabled; c. Person's movement direction d_not enabled; d. Person's movement azimuth p_not enabled; e. Sampling period t_50 milliseconds; If it is necessary to improve the accuracy of determining the micro-motion state of personnel, enable the r value and the p value, and perform linkage calculation processing in the control machine; Step S3.5: During the entire response state of the monitoring process by the control machine, the state parameters are described as follows: a. Related to the first radar: Environmental weight parameter W1_0.5; Response parameter F1(R1,L1,T1)_idle; b. Related to the second radar: Environmental weight parameter W2_0.5; Response parameter F2(R2,L2,T2)_in motion, micro-motion, stationary or idle state; c. Monitoring output result S of the control machine_normal, abnormal: The monitoring output result S of the control machine is normal or abnormal, which is determined by the control machine comparing the F2 parameter of the second radar, that is, the state of the current radar target with the states of the previous several targets, to confirm whether the target state migrates and whether the migration triggers an alarm; Step S3.6: When a person leaves the bathroom, the first radar outputs the real-time state determination result, and the state parameters are described as follows: a. State parameters m, o, s of the person in motion, micro-motion, stationary_in motion; b. Distance r between the radar and the person_less than the entry / exit determination distance; c. Movement direction d of the person_away; d. Movement azimuth p of the person_not enabled; e. Sampling period t_50 milliseconds; Step S3.7: The monitoring output of the control machine switches from the response state to the idle state, and the state parameters are described as follows: a. Related to the first radar: Environmental weight parameter W1_0.5; Response parameter F1(R1,L1,T1)_left; b. Related to the second radar: Environmental weight parameter W2_0.5; Response parameter F2(R2,L2,T2)_idle; c. Monitoring output result S of the control machine_left; Step S3.8: Return to the state of Step S3.1.

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