CN116931524A - Intelligent monitoring system and process for building - Google Patents
Intelligent monitoring system and process for building Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention relates to the technical field of monitoring, in particular to an intelligent monitoring system for a building and a process thereof, comprising an analysis layer, a prediction layer and a driving layer; the method comprises the steps that building internal structure distribution data are input through an analysis layer, the analysis layer completes building virtual modeling based on the input building internal structure distribution data, and further completes configuration design of monitoring equipment based on a building virtual model, a prediction layer executes dynamic target moving path prediction based on real-time images acquired by the monitoring equipment, and the prediction layer further transmits predicted dynamic target moving path prediction results to a driving layer.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to an intelligent monitoring system and process for a building.
Background
Monitoring is the most widely used and particularly important ring in current intelligent building security systems.
The invention patent with the application number of 201710110272. X discloses an intelligent monitoring system for building, which is characterized in that: the mobile terminal comprises a data receiving and transmitting module, a second display module, a data processing module and a face storage module; the infrared sensing module is arranged at the entrance and the exit and used for detecting whether personnel enter or exit; the video acquisition module is used for carrying out video shooting on access personnel and sending shooting information to the central processing module: the face recognition module is used for processing shooting information from the central processing module, forming a face recognition image and sending the face recognition image to the central processing module.
The application aims at solving the problems: "for some relatively large enterprises, it is often necessary to use offices of a whole building, offices of a plurality of buildings, or even offices of a whole building. Under such circumstances, security problems of office sites are particularly prominent, and it is necessary to monitor office areas and to provide access control systems in access areas. In addition, as many office workers are involved, the application of the computer is popular under the condition of modern network office, so that the maintenance of the computer becomes a necessary daily work of a large company, and the problem of high cost of used equipment and manpower is solved.
However, for building structures with certain management and activity restrictions such as prisons and geriatric homes, real-time monitoring of the internal states of the building is often realized through a large number of monitoring equipment deployment in order to ensure the effectiveness of daily management, and the monitoring cost is high due to the large number of monitoring equipment deployment, and the large number of monitoring equipment deployment can have certain negative emotion and contradiction to the detention personnel in the building.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects existing in the prior art, the invention provides an intelligent monitoring system and a process for building, which solve the problems that for building buildings with certain management and activity limitation in prisons, salons and the like, real-time monitoring of the internal state of the building is often realized through a large number of monitoring equipment deployment in order to ensure the effectiveness of daily management, the monitoring cost is higher due to the large number of monitoring equipment deployment, and a large number of monitoring equipment deployment can cause a certain negative emotion to detained personnel in the building.
Technical proposal
In order to achieve the above purpose, the invention is realized by the following technical scheme:
in a first aspect, an intelligent monitoring system for a building includes an analysis layer, a prediction layer, and a driving layer;
the method comprises the steps that building internal structure distribution data are input through an analysis layer, the analysis layer completes building virtual modeling based on the input building internal structure distribution data, and further completes monitoring equipment configuration design based on a building virtual model, a prediction layer executes dynamic target moving path prediction based on real-time images acquired by the monitoring equipment, the prediction layer further sends predicted dynamic target moving path prediction results to a driving layer, the driving layer drives the monitoring equipment to move according to the dynamic target moving paths, and continuous monitoring is carried out on the dynamic targets;
the prediction layer comprises a capturing module, a signal receiving and transmitting module and a sniffing module, wherein the capturing module is used for capturing dynamic targets in real-time image data acquired by the monitoring equipment, the signal receiving and transmitting module is used for monitoring real-time position information of the monitoring equipment, and the sniffing module is used for sniffing the dynamic targets captured by the capturing module based on the current position information and all feasible path;
the signal receiving and transmitting module calculates signal transmission time delay in real time, coordinates the position information of the monitoring equipment based on the calculated signal transmission time delay, and the signal transmission time delay is calculated by the following formula:
wherein: delta is the pairing time of the signal receiving and transmitting modules; n (N) ij The number of the signal data packets transmitted by the signal receiving and transmitting modules; s is the transmission time of the signal data packet; phi (phi) n Is a weight coefficient; delta ij Sensing time slots for signals of the signal receiving and transmitting module;
wherein the signalTransmission delay τ ij After the calculation, the product operation is further carried out with the movement speed of the monitoring equipment, so that the monitoring equipment is driven to turn back by the calculation result, and the coordination of the position information of the monitoring equipment is realized.
Further, the analysis layer comprises an input module, a construction module and an evaluation module, wherein the input module is used for inputting the building internal structure specification parameters or the building internal space position information, the construction module is used for receiving the building internal structure specification parameters or the building internal space position information input in the input module, constructing a building virtual model by applying the building internal structure specification parameters or the building internal space position information, the evaluation module is used for identifying the building virtual model constructed in the construction module, extracting basic parameters in the building virtual model, and configuring and designing configuration parameters of the monitoring equipment by applying the basic parameters in the extracted building virtual model;
the monitoring equipment consists of cameras and electric sliding rails, wherein a plurality of groups of cameras are arranged on the electric sliding rails, and the configuration parameters of the monitoring equipment comprise the number of the electric sliding rails and the number of the cameras.
Furthermore, when the configuration parameters of the monitoring device are configured and designed, the evaluation module obtains the configuration parameters by the following formula:
wherein: m is the number of cameras required to be configured in the building; u is the used bay in the building; q is the total amount of space in the building; j is the fixed population in the building; z is the daily floating population in the building; l (L) route Is that; omega 1 、ω 2 Omega, omega 3 Is the weight; n is the number of weights;
wherein, the value of Z manually sets the monitoring period through a user at the system end, completes the data acquisition of the people flow, further obtains the average value to set, and m is obtained by taking the integer value in the normal direction, and the n and omega are divided on the right side of the above formula 1 Omega, omega 2 and omega 3 Other things besides the placeThe variables are all recorded as basic parameters in the building virtual model, the number of the electric sliding rails configured in the building is smaller than m, and the electric sliding rails are manually set by a user at a system end.
Furthermore, when the capturing module captures a dynamic target in a real-time image acquired by a camera in the monitoring device, an acquisition period is manually set by a system end user, the camera executes the acquisition of the real-time image according to the acquisition period, further executes the capturing of the dynamic target on the acquired real-time image, and the captured dynamic target is output by the following formula:
wherein:the ratio of the area of the intersection area of the detection frame of the i+1st frame dynamic target and the judgment area to the detection frame surface of the dynamic target; />A detection frame which is the i+1st frame dynamic target; />Is a judging area; w (w) b 、h b Detecting the length and width of the image data for the first frame; />The method comprises the steps of detecting the horizontal and vertical coordinates of the upper left point and the horizontal and vertical coordinates of the lower right point of a frame for an i-th frame dynamic target; />And->Is the difference between (1); />And->Is the difference between (1); lambda is a super parameter;
wherein the dynamic target detection frame is set by a YOLOv5 algorithm,when (I)>Corresponding coordinates, i.e. dynamic target position->And when the dynamic target is lost.
Furthermore, before the real-time image performs the dynamic target output, the enhancement processing is performed on the real-time image data synchronously, and the enhanced image data is output by the following formula:
wherein: f (F) normal (x, y) is an enhanced image; sigma is the average brightness of the image; f' (x, y) is the denoised image,where m.n is the image domain size and f (x, y) is the original image.
Further, the signal transceiver modules are deployed on each camera and in each building interior bay, when the cameras acquire a dynamic target, the signal transceiver modules deployed on the cameras trigger to operate, send out electric signals for receiving by the signal transceiver modules deployed in a group of building interior bays closest to the camera, take the position information of the signal transceiver modules receiving the signals as the current position information of the cameras, and the sniffing module searches in the building virtual model according to the current position information of the cameras to acquire other building interior bays which can be reached at the corresponding positions of the building interior bays, and outputs the connection paths of the building interior bays based on the building virtual model;
the path can be a path of the inter-building connection path output from the sniffing module.
Still further, the driving layer comprises a receiving module and a recycling module, the receiving module is used for receiving the feasible path output by the sniffing module, the monitoring equipment is driven to operate by applying the received feasible path, and the recycling module is used for driving the monitoring equipment, so that a camera in the monitoring equipment driven to operate by the receiving module returns to an initial position.
Further, after the receiving module receives the feasible paths, the receiving module further obtains the tail end of each feasible path corresponding to the interior bay of the building, the obtained interior bay of the building is used as a moving target, the camera which collects the dynamic target moves to the corresponding signal receiving and sending module of the moving target through the signal receiving and sending module which is arranged at the upper part of the electric sliding rail, when the two groups of signal receiving and sending modules complete the interaction of electric signals, the electric sliding rail finishes the movement control of the camera, the capturing module runs in real time when the recycling module runs, continuously captures the dynamic target, when the camera captures the dynamic target in any monitoring device running according to the feasible paths, the camera captures the dynamic target as a trigger signal, the cameras in other monitoring devices running according to the feasible paths are controlled to move to the initial position through the electric sliding rail, and the control system jumps to the sniffing module to run.
Furthermore, the input module is electrically connected with the construction module and the evaluation module through a medium, the evaluation module is electrically connected with the capture module through the medium, the capture module is electrically connected with the signal receiving and transmitting module and the sniffing module through the medium, the sniffing module is electrically connected with the receiving module through the medium, and the receiving module is electrically connected with the recovery module through the medium.
In a second aspect, an intelligent monitoring process for a building includes the steps of:
step 1: each camera in the monitoring equipment moves to a target position through an electric sliding rail and a feasible path;
step 2: configuring image receiving equipment for each camera in the monitoring equipment, and establishing connection between the cameras and the image receiving equipment through a local area network;
step 3: analyzing the capturing probability of a dynamic target in the real-time images transmitted by each camera received on the image receiving equipment, and sequencing the real-time images received on the image receiving equipment and sourced from the cameras according to the capturing probability of the dynamic target;
the capturing probability of the dynamic target in the camera transmission image is calculated by the following formula:
wherein: j is the utilization rate of the space inside the building corresponding to the tail end of the feasible path; k is the feasible path length; l is the size of the opening inside the building corresponding to the tail end of the feasible path; mu (mu) 1 μ 2 、μ 2 Is the weight; epsilon is a mean divisor and is set according to the quantity of variables in the formula;
the larger the dynamic target capturing probability kappa value is, the more the image sequencing position is;
step 4: the user side monitors each inter-bay position in the building through the image receiving equipment;
wherein, each real-time image sequence received by the image receiving device is obtained or customized according to the independent decision of the user terminal through the step 3.
Advantageous effects
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
1. the intelligent monitoring system for the building analyzes the building through the construction of the building virtual model, further performs design and deployment on monitoring equipment based on the analysis result of the building virtual model, finally achieves the effect of monitoring the whole building by using fewer monitoring equipment, and further achieves more purposes and targeting when building management staff checks and monitors and manages the building, thereby realizing the reduction of building monitoring cost, improving the real-time monitoring efficiency and convenience of the building management staff through monitoring, and reducing negative emotion and contradiction psychology of detained staff in the building.
2. In the running process of the system, the image data collected by the monitoring equipment is enhanced and the dynamic target is captured, so that a further monitoring effect can be brought to the system, the condition that the monitoring target is lost and is not found for a long time is avoided, and the effectiveness of the monitoring effect brought by the system is ensured.
3. The invention provides an intelligent monitoring process for a building, which can further maintain the running stability of a system by executing steps in the process, can provide a sequencing function for real-time images output in the system by calculating the capturing probability of a dynamic target in the method, and ensures that the real-time images which are most required to be focused can be placed at a front position on image receiving equipment.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic diagram of a building intelligent monitoring system;
FIG. 2 is a schematic flow chart of an intelligent monitoring process for a building;
FIG. 3 is a schematic diagram illustrating a deployment state of a monitoring device according to the present invention;
FIG. 4 is a schematic diagram showing a modeling concept of a building virtual model according to the present invention;
reference numerals in the drawings represent respectively: 1. a wall top; 2. an electric slide rail; 3. a camera; 4. and a signal receiving and transmitting module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1
The intelligent monitoring system for the building comprises an analysis layer, a prediction layer and a driving layer as shown in figures 1 and 3-4;
the method comprises the steps that building internal structure distribution data are input through an analysis layer, the analysis layer completes building virtual modeling based on the input building internal structure distribution data, and further completes monitoring equipment configuration design based on a building virtual model, a prediction layer executes dynamic target moving path prediction based on real-time images acquired by the monitoring equipment, the prediction layer further sends predicted dynamic target moving path prediction results to a driving layer, the driving layer drives the monitoring equipment to move according to the dynamic target moving paths, and continuous monitoring is carried out on the dynamic targets;
the prediction layer comprises a capturing module, a signal receiving and transmitting module and a sniffing module, wherein the capturing module is used for capturing dynamic targets in real-time image data acquired by the monitoring equipment, the signal receiving and transmitting module is used for monitoring real-time position information of the monitoring equipment, and the sniffing module is used for sniffing the dynamic targets captured by the capturing module based on the current position information and all feasible path;
the signal receiving and transmitting module calculates signal transmission time delay in real time, coordinates the position information of the monitoring equipment based on the calculated signal transmission time delay, and the signal transmission time delay is calculated by the following formula:
wherein: delta is the pairing time of the signal receiving and transmitting modules; n (N) ij The number of the signal data packets transmitted by the signal receiving and transmitting modules; s is the transmission time of the signal data packet; phi (phi) n Is a weight coefficient; delta ij Sensing time slots for signals of the signal receiving and transmitting module;
wherein the signal transmission delay τ ij After the calculation, further carrying out product operation with the movement speed of the monitoring equipment so as to drive the monitoring equipment to turn back according to the calculation result and realize coordination of the position information of the monitoring equipment;
the analysis layer comprises an input module, a construction module and an evaluation module, wherein the input module is used for inputting the building internal structure specification parameters or the building internal space position information, the construction module is used for receiving the building internal structure specification parameters or the building internal space position information input in the input module, building a building virtual model by applying the building internal structure specification parameters or the building internal space position information, the evaluation module is used for identifying the building virtual model built in the construction module, extracting basic parameters in the building virtual model, and configuring and designing configuration parameters of the monitoring equipment by applying the basic parameters in the extracted building virtual model;
the monitoring equipment consists of cameras and electric sliding rails, wherein the electric sliding rails are provided with a plurality of groups, the electric sliding rails are provided with a plurality of groups of cameras, and the configuration parameters of the monitoring equipment comprise the number of the electric sliding rails and the number of the cameras;
when the capturing module captures a dynamic target in a real-time image acquired by a camera in the monitoring equipment, an acquisition period is manually set by a system end user, the camera executes the acquisition of the real-time image according to the acquisition period, the captured dynamic target is further captured on the acquired real-time image, and the captured dynamic target is output by the following formula:
wherein:the ratio of the area of the intersection area of the detection frame of the i+1st frame dynamic target and the judgment area to the detection frame surface of the dynamic target; />A detection frame which is the i+1st frame dynamic target; />Is a judging area; w (w) b 、h b Detecting the length and width of the image data for the first frame; />The method comprises the steps of detecting the horizontal and vertical coordinates of the upper left point and the horizontal and vertical coordinates of the lower right point of a frame for an i-th frame dynamic target; />And->Is the difference between (1); />And->Is the difference between (1); lambda is a super parameter;
wherein the dynamic target detection frame is set by a YOLOv5 algorithm,when (I)>Corresponding coordinates, i.e. dynamic target position->When the dynamic target is lost;
the driving layer comprises a receiving module and a recycling module, the receiving module is used for receiving the feasible path output by the sniffing module, the monitoring equipment is driven to run by applying the received feasible path, and the recycling module is used for driving the monitoring equipment to enable a camera in the monitoring equipment driven to run by the receiving module to return to an initial position;
after the receiving module receives the feasible paths, the receiving module further obtains the corresponding building interior bay at the tail end of each feasible path, the obtained building interior bay is used as a moving target, the camera which collects the dynamic target moves to the corresponding signal receiving and transmitting module of the moving target through the signal receiving and transmitting module which is arranged at the upper part of the electric sliding rail, when the two groups of signal receiving and transmitting modules complete the interaction of the electric signals, the electric sliding rail finishes the movement control of the camera, the capturing module runs in real time when the recycling module runs, continuously captures the dynamic target, when the camera captures the dynamic target in any monitoring equipment running according to the feasible paths, the camera captures the dynamic target as a trigger signal, the cameras in other monitoring equipment running according to the feasible paths are controlled to move to the initial position through the electric sliding rail, and the control system jumps to the sniffing module to run;
the input module is electrically connected with the construction module and the evaluation module through a medium, the evaluation module is electrically connected with the capture module through the medium, the capture module is electrically connected with the signal receiving and transmitting module and the sniffing module through the medium, the sniffing module is electrically connected with the receiving module through the medium, and the receiving module is electrically connected with the recovery module through the medium.
In this embodiment, the input module inputs the building internal structure specification parameter or the building internal space position information, the construction module post-operates to receive the building internal structure specification parameter or the building internal space position information input in the input module, applies the building internal structure specification parameter or the building internal space position information to construct a building virtual model, then uses the evaluation module to identify the building virtual model constructed in the construction module, extracts the basic parameters in the building virtual model, uses the basic parameters in the extracted building virtual model to configure the configuration parameters of the monitoring equipment, further captures the real-time position information of the monitoring equipment in real-time image data acquired by the monitoring equipment, and uses the sniffing module to sniff the dynamic target captured by the capturing module to be based on the current position information, and finally uses the received feasible path output by the sniffing module to drive the monitoring equipment to operate, and uses the recovery module to drive the monitoring equipment to drive the camera of the monitoring equipment to return to the initial position;
in addition, through the calculation of the formula, the signal transmission time delay calculation in the operation process of the signal receiving and transmitting module is adopted to bring a position correction effect to the monitoring equipment, so that the camera in the monitoring equipment can reach a monitoring area with a more suitable position through the movement of the electric sliding rail;
the safety of the monitoring target in the monitoring area is further ensured by calculating and outputting the dynamic target position, so that the situation that the monitoring target is lost and is not perceived for a long time is avoided;
referring to fig. 3 and fig. 4, the deployment state of the monitoring device shown in fig. 3 brings further explanation to the implementer of the scheme, and fig. 4 illustrates a set of building virtual models, in which each block represents a set of building interior bays, and each building interior bay corresponds to a set of signal transceiver modules 4.
Example two
On the aspect of implementation, on the basis of embodiment 1, this embodiment further specifically describes a building intelligent monitoring system in embodiment 1 with reference to fig. 1:
when the evaluation module configures the configuration parameters of the design monitoring equipment, the evaluation module obtains the configuration parameters by the following formula:
wherein: m is the number of cameras required to be configured in the building; u is the used bay in the building; q is the total amount of space in the building; j is the fixed population in the building; z is the daily floating population in the building; l (L) route Is that; omega 1 、ω 2 Omega, omega 3 Is the weight; n is the number of weights;
wherein, the value of Z manually sets the monitoring period through a user at the system end, completes the data acquisition of the people flow, further obtains the average value to set, and m is obtained by taking the integer value in the normal direction, and the n and omega are divided on the right side of the above formula 1 、ω 2 Omega, omega 3 Besides, other independent variables are all recorded as basic parameters in the building virtual model, the number of the electric sliding rails configured in the building is smaller than m, and the electric sliding rails are manually set by a user at a system end.
The design of the configuration quantity of the cameras and the electric sliding rails in the monitoring equipment is brought to the system through the calculation, and the correspondingly configured monitoring equipment in the system is ensured to meet the running requirement of the system.
Example III
On the aspect of implementation, on the basis of embodiment 1, this embodiment further specifically describes a building intelligent monitoring system in embodiment 1 with reference to fig. 1:
before the real-time image executes the dynamic target output, the real-time image data is synchronously enhanced, and the enhanced image data is output by the following formula:
wherein: f (F) normal (x, y) is an enhanced image; sigma is the average brightness of the image; f' (x, y) is the denoised image,where m.n is the image domain size and f (x, y) is the original image.
Through the formula calculation, a certain enhancement treatment can be carried out on the real-time image acquired by the camera, so that when the system further operates to calculate the dynamic target, the calculation of the dynamic target is completed based on the finer real-time image.
As shown in fig. 1, the signal transceiver modules are deployed on each camera and in each building interior bay, when the cameras acquire a dynamic target, the signal transceiver modules deployed on the cameras trigger to operate, send out electric signals for receiving by a group of signal transceiver modules deployed in the building interior bays closest to the camera, take the position information of the signal transceiver modules receiving the signals as the current position information of the cameras, and the sniffing module further searches in the building virtual model according to the current position information of the cameras, acquires other building interior bays which can be reached at the corresponding positions of the building interior bays, and outputs the connection paths of the building interior bays based on the building virtual model;
the path can be a path of the inter-building connection path output from the sniffing module.
The sniffing module sniffs the current dynamic target position information to bring data support, and further realizes the output of a feasible path in the building.
Example IV
On the aspect of implementation, on the basis of embodiment 1, this embodiment further specifically describes a building intelligent monitoring system in embodiment 1 with reference to fig. 2:
an intelligent monitoring process for a building comprises the following steps:
step 1: each camera in the monitoring equipment moves to a target position through an electric sliding rail and a feasible path;
step 2: configuring image receiving equipment for each camera in the monitoring equipment, and establishing connection between the cameras and the image receiving equipment through a local area network;
step 3: analyzing the capturing probability of a dynamic target in the real-time images transmitted by each camera received on the image receiving equipment, and sequencing the real-time images received on the image receiving equipment and sourced from the cameras according to the capturing probability of the dynamic target;
the capturing probability of the dynamic target in the camera transmission image is calculated by the following formula:
wherein: j is the utilization rate of the space inside the building corresponding to the tail end of the feasible path; k is the feasible path length; l is the size of the opening inside the building corresponding to the tail end of the feasible path; mu (mu) 1 μ 2 、μ 2 Is the weight; epsilon is a mean divisor and is set according to the quantity of variables in the formula;
the larger the dynamic target capturing probability kappa value is, the more the image sequencing position is;
step 4: the user side monitors each inter-bay position in the building through the image receiving equipment;
wherein, each real-time image sequence received by the image receiving device is obtained or customized according to the independent decision of the user terminal through the step 3.
Through the steps and the execution of 1-4 and the calculation of the dynamic target capturing probability, the real-time image output in the system can be logically executed, and the real-time image which needs to be focused most can be ensured to be placed at the front position on the image receiving equipment.
In summary, in the above embodiment, the system analyzes the building through building virtual model construction, further performs design and deployment on the monitoring device based on the building virtual model analysis result, and finally achieves the effect of bringing monitoring to the whole building by using fewer monitoring devices, so that building management personnel has more purposes and targets when checking and monitoring to monitor and manage the building, further achieves the effect of reducing building monitoring cost, improves the real-time monitoring efficiency and convenience of the building management personnel through monitoring, and reduces negative emotion and contradiction psychology of detention personnel in the building; in addition, in the running process of the system, the image data collected by the monitoring equipment is subjected to enhancement processing and dynamic target capturing, so that a further monitoring effect can be brought to the system, the condition that the monitoring target is lost and is not found for a long time is avoided, and the effectiveness of the monitoring effect brought by the system is ensured; meanwhile, the steps of the process recorded in the embodiment are adopted to execute, so that the running stability of the system can be further maintained, and the real-time images output in the system can be provided with a sequencing function through the calculation of the dynamic target capturing probability in the method, so that the real-time images which are most required to be focused can be ensured to be placed at the front position on the image receiving equipment.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The intelligent monitoring system for the building is characterized by comprising an analysis layer, a prediction layer and a driving layer;
the method comprises the steps that building internal structure distribution data are input through an analysis layer, the analysis layer completes building virtual modeling based on the input building internal structure distribution data, and further completes monitoring equipment configuration design based on a building virtual model, a prediction layer executes dynamic target moving path prediction based on real-time images acquired by the monitoring equipment, the prediction layer further sends predicted dynamic target moving path prediction results to a driving layer, the driving layer drives the monitoring equipment to move according to the dynamic target moving paths, and continuous monitoring is carried out on the dynamic targets;
the prediction layer comprises a capturing module, a signal receiving and transmitting module and a sniffing module, wherein the capturing module is used for capturing dynamic targets in real-time image data acquired by the monitoring equipment, the signal receiving and transmitting module is used for monitoring real-time position information of the monitoring equipment, and the sniffing module is used for sniffing the dynamic targets captured by the capturing module based on the current position information and all feasible path;
the signal receiving and transmitting module calculates signal transmission time delay in real time, coordinates the position information of the monitoring equipment based on the calculated signal transmission time delay, and the signal transmission time delay is calculated by the following formula:
wherein: delta is the pairing time of the signal receiving and transmitting modules; n (N) ij The number of the signal data packets transmitted by the signal receiving and transmitting modules; s is the transmission time of the signal data packet; phi (phi) n Is a weight coefficient; delta ij Sensing time slots for signals of the signal receiving and transmitting module;
wherein the signal transmission delay τ ij After the calculation, the product operation is further carried out with the movement speed of the monitoring equipment, so that the monitoring equipment is driven to turn back by the calculation result, and the coordination of the position information of the monitoring equipment is realized.
2. The intelligent monitoring system of building according to claim 1, wherein the analysis layer comprises an input module, a construction module and an evaluation module, the input module is used for inputting building internal structure specification parameters or building internal space position information, the construction module is used for receiving the building internal structure specification parameters or the building internal space position information input by the input module, building a building virtual model by applying the building internal structure specification parameters or the building internal space position information, the evaluation module is used for identifying the building virtual model built by the construction module, extracting basic parameters in the building virtual model, and configuring and designing configuration parameters of the monitoring equipment by applying the basic parameters in the extracted building virtual model;
the monitoring equipment consists of cameras and electric sliding rails, wherein a plurality of groups of cameras are arranged on the electric sliding rails, and the configuration parameters of the monitoring equipment comprise the number of the electric sliding rails and the number of the cameras.
3. The intelligent monitoring system of claim 2, wherein the evaluation module, when configuring the configuration parameters of the design monitoring device, performs the calculation by the following formula:
wherein: m is the number of cameras required to be configured in the building; u is the used bay in the building; q is the total amount of space in the building; j is the fixed population in the building; z is the daily floating population in the building; l (L) route Is that; omega 1 、ω 2 Omega, omega 3 Is the weight; n is the number of weights;
wherein, the value of Z manually sets the monitoring period through a user at the system end, completes the data acquisition of the people flow, further obtains the average value to set, and m is obtained by taking the integer value in the normal direction, and the n and omega are divided on the right side of the above formula 1 、ω 2 Omega, omega 3 Besides, other independent variables are all recorded as basic parameters in the building virtual model, and the number of the electric sliding rails configured in the building is smaller than m and manually set by a user at a system end.
4. The intelligent monitoring system of claim 1, wherein the capturing module manually sets a capturing period by a system end user when capturing a dynamic target in a real-time image captured by a camera in the monitoring device, the camera executes capturing of the real-time image according to the capturing period, further executes capturing of the dynamic target on the captured real-time image, and the captured dynamic target is output by the following formula:
wherein:the ratio of the area of the intersection area of the detection frame of the i+1st frame dynamic target and the judgment area to the detection frame surface of the dynamic target; />A detection frame which is the i+1st frame dynamic target; />Is a judging area; w (w) b 、h b Detecting the length and width of the image data for the first frame; />The method comprises the steps of detecting the horizontal and vertical coordinates of the upper left point and the horizontal and vertical coordinates of the lower right point of a frame for an i-th frame dynamic target; />And->Is the difference between (1); />And->Is the difference between (1); lambda is a super parameter;
wherein the dynamic target detection frame is set by a YOLOv5 algorithm,when (I)>Corresponding coordinates, i.e. dynamic target position->And when the dynamic target is lost.
5. The intelligent monitoring system for building according to claim 4, wherein the real-time image data is enhanced synchronously before the real-time image performs the dynamic target output, and the enhanced image data is output by the following formula:
wherein: f (F) normal (x, y) is an enhanced image; sigma is the average brightness of the image; f' (x, y) is the denoised image,where m.n is the image domain size and f (x, y) is the original image.
6. The intelligent monitoring system of building according to claim 1, wherein the signal transceiver module is disposed on each camera and in each building interior bay, when the cameras acquire dynamic targets, the signal transceiver module disposed on the cameras triggers operation, sends out electric signals for receiving by a signal transceiver module disposed on a group of building interior bays closest to the camera, uses the position information of the signal transceiver module for receiving the signals as the current position information of the camera, and the sniffing module searches in the building virtual model according to the current position information of the camera to obtain other building interior bays which can be reached at the corresponding positions of the building interior bays, and outputs the connection paths of the other building interior bays which can be reached at the corresponding positions of the building interior bays based on the building virtual model;
the path can be a path of the inter-building connection path output from the sniffing module.
7. The intelligent monitoring system of building according to claim 1, wherein the driving layer comprises a receiving module and a recycling module, the receiving module is used for receiving the feasible path output by the sniffing module, the monitoring equipment is driven to operate by applying the received feasible path, and the recycling module is used for driving the monitoring equipment, so that the camera in the monitoring equipment driven to operate by the receiving module returns to the initial position.
8. The intelligent monitoring system of building according to claim 7, wherein the receiving module further obtains the end of each feasible path corresponding to the interior of the building after receiving the feasible paths, and uses the obtained interior of the building to deploy the signal transceiver module as a moving target, the camera which collects the dynamic target moves to the signal transceiver module corresponding to the moving target through the signal transceiver module which is deployed on the upper portion of the electric slide rail, when the two groups of signal transceiver modules complete the interaction of the electric signals, the electric slide rail finishes the movement control of the camera, the capturing module runs in real time when the recovery module runs, continuously captures the dynamic target, when the camera captures the dynamic target in any monitoring device running according to the feasible paths, uses the camera as a trigger signal, controls the cameras in other monitoring devices running according to the feasible paths to move to the initial position through the electric slide rail, and controls the system to jump to the sniffing module to run.
9. The intelligent monitoring system of claim 2, wherein the input module is electrically connected with the construction module and the evaluation module through a medium, the evaluation module is electrically connected with the capture module through a medium, the capture module is electrically connected with the signal transceiver module and the sniffing module through a medium, the sniffing module is electrically connected with the receiving module through a medium, and the receiving module is electrically connected with the recovery module through a medium.
10. A building intelligent monitoring process, which is an implementation process of the building intelligent monitoring system as claimed in any one of claims 1 to 9, and is characterized by comprising the following steps:
step 1: each camera in the monitoring equipment moves to a target position through an electric sliding rail and a feasible path;
step 2: configuring image receiving equipment for each camera in the monitoring equipment, and establishing connection between the cameras and the image receiving equipment through a local area network;
step 3: analyzing the capturing probability of a dynamic target in the real-time images transmitted by each camera received on the image receiving equipment, and sequencing the real-time images received on the image receiving equipment and sourced from the cameras according to the capturing probability of the dynamic target;
the capturing probability of the dynamic target in the camera transmission image is calculated by the following formula:
wherein: j is the utilization rate of the space inside the building corresponding to the tail end of the feasible path; k is the feasible path length; l is the size of the opening inside the building corresponding to the tail end of the feasible path; mu (mu) 1 μ 2 、μ 2 Is the weight; epsilon is a mean divisor and is set according to the quantity of variables in the formula;
the larger the dynamic target capturing probability kappa value is, the more the image sequencing position is;
step 4: the user side monitors each inter-bay position in the building through the image receiving equipment;
wherein, each real-time image sequence received by the image receiving device is obtained or customized according to the independent decision of the user terminal through the step 3.
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