CN117111535B - Closed space impact-resistant risk-avoiding control system and intelligent door and window control method - Google Patents
Closed space impact-resistant risk-avoiding control system and intelligent door and window control method 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
- G05B19/00—Programme-control systems
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- G—PHYSICS
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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 impact-resistant risk-avoiding control, and provides a closed space impact-resistant risk-avoiding control system and an intelligent door and window control method, wherein the system comprises a cloud control end, and a space model is transmitted to an edge data processing end of a target closed space; the edge data processing end generates an impact-resistant risk-avoiding actual control instruction according to the actual impact data transmitted by the space model and the measurement and control terminal; the measurement and control terminals are arranged on the door and window structure impacted in the target enclosed space, acquire actual impact data of the door and window structure, and drive the door and window structure to execute the actual impact and risk prevention actions according to the actual impact and risk prevention control instructions. According to the invention, a unique space model is constructed for each enclosed space, and when the space model is used for receiving actual impact data received by a door and window structure, the opening and closing state of the door and window structure in the enclosed space is generated, so that the pressure relief of the received strong impact is realized, the damage of the door and window structure is avoided, and the impact resistance and danger avoidance are completed.
Description
Technical Field
The invention relates to the technical field of impact-resistant risk-avoiding control, in particular to a closed space impact-resistant risk-avoiding control system and an intelligent door and window control method.
Background
In the prior art, the requirements of air tightness, sound insulation, water resistance and heat preservation are generally set to have higher tightness, so that an indoor closed space is formed, and the closed space has better isolation performance when facing wind, rain, noise and severe temperature conditions, plays a good protection role, and can improve indoor life quality.
In some cases, however, the enclosure formed by the door and window system with the higher tightness tends to have a negative effect. For example, in a scene where strong impact is generated (typhoon, strong impact, fire explosion impact and the like exceeding the resistance limit), as the closed space has higher tightness, the door and window structure of the closed space can be damaged, ruptured or even blasted under high pressure due to the strong impact, on one hand, the service life of the door and window system is reduced, and on the other hand, the material of the door and window structure causes extremely high danger after being damaged, ruptured or even blasted.
Therefore, how to improve the service life and the safety of the door and window structure in the closed space formed by the door and window system is a problem to be solved.
Disclosure of Invention
In order to solve the problems of the prior art, the invention provides an impact-resistant risk-avoiding control system for a closed space and an intelligent door and window control method, and aims to solve the problems of low service life and high use risk of a door and window structure caused by strong impact in the existing closed space formed by the door and window system.
In a first aspect of the present invention, there is provided a closed space impact resistance risk avoidance control system comprising:
the cloud control end is configured to transmit a space model corresponding to the target closed space to an edge data processing end of the target closed space;
the edge data processing end is configured to generate and issue an impact-resistant risk-avoiding actual control instruction to the measurement and control terminal according to actual impact data transmitted by the measurement and control terminal after receiving the space model transmitted by the cloud control end;
the system comprises a plurality of measurement and control terminals, a plurality of door and window structures, a plurality of control terminals and a plurality of control terminals, wherein the measurement and control terminals are arranged in a target closed space and are impacted by the door and window structures, the measurement and control terminals are configured to acquire actual impact data of the door and window structures, transmit the actual impact data to an edge data processing end, and drive the door and window structures to execute actual impact and risk prevention actions when receiving an actual impact and risk prevention control instruction.
Optionally, the cloud control end specifically includes:
the training instruction generation module is configured to generate and issue an impact-resistant risk-avoiding training control instruction packet to the edge data processing end according to a model training request when the model training request transmitted by the edge data processing end is received;
the space model construction module is configured to construct a space model of the target closed space based on training impact data when the training impact data corresponding to the impact resistance risk avoidance training control instruction packet transmitted by the edge data processing end is received.
Optionally, the edge data processing end specifically includes:
a model training request generation module configured to generate a model training request in response to a training drive signal input by a user; the model training request comprises identification information of a measurement and control terminal in the target enclosed space;
the anti-impact risk avoidance training module is configured to send an anti-impact risk avoidance training control instruction extracted from the anti-impact risk avoidance training control instruction packet to the measurement and control terminal when receiving the anti-impact risk avoidance training control instruction packet sent by the cloud control terminal, so that the measurement and control terminal executes anti-impact risk avoidance training actions in a first impact environment, and the acquired training impact data are transmitted to the cloud control terminal.
Optionally, the training instruction generating module specifically includes:
the door and window structure information extraction unit is configured to extract the door and window structure information of a target door and window structure corresponding to the identification information in a corresponding relation table of the measurement and control terminal and the door and window structure according to the identification information in the model training request when the model training request transmitted by the edge data processing end is received;
the training instruction generation unit is configured to match the shock-resistant risk-avoiding training strategy corresponding to the model training request in a comparison table of the door and window structure information and the shock-resistant risk-avoiding training strategy;
the anti-impact risk avoidance training strategy comprises an anti-impact risk avoidance training control instruction executed by the measurement and control terminal.
Optionally, the impact-resistant risk-avoiding training strategy further includes:
an impact generation instruction executed by an impact environment manufacturing apparatus, the impact generation instruction, when executed by the impact environment manufacturing apparatus, generating a first impact environment for a target enclosed space;
wherein the first impact environment is configured to act on impacts of different door and window structures in a target enclosed space in different directions, different times of action, and different intensities;
The impact-resistant risk-avoiding training control instruction comprises a control instruction for controlling different door and window structures to execute different opening and closing actions under a first impact environment by different measurement and control terminals in a target enclosed space.
Optionally, the measurement and control terminal specifically includes:
the anti-impact risk avoidance training execution module is configured to control the training opening and closing states of different door and window structures according to the received anti-impact risk avoidance training control instruction;
the training impact data acquisition module is configured to acquire training impact pressure received by each door and window structure when different door and window structures are combined in different opening and closing states of the target closed space in a first impact environment;
the anti-impact risk avoiding actual execution module is configured to control the actual opening and closing states of different door and window structures according to the received anti-impact risk avoiding actual control instruction;
and the actual impact data acquisition module is configured to acquire actual impact pressure received by different door and window structures in the target enclosed space.
Optionally, the spatial model construction module specifically includes:
An impact pressure safety value determining unit configured to match an impact pressure safety value of each door and window structure in a door and window structure database according to the identification information in the model training request;
a space model construction unit configured to construct and obtain a space model according to the training impact pressure received by each door and window structure and the impact pressure safety value of each door and window structure;
when the space model inputs impacts with different directions, different action times and different intensities, the opening and closing states of different door and window structures, wherein the impact pressure of each door and window structure is smaller than the corresponding impact pressure safety value, are output.
Optionally, the edge data processing end further includes:
the safety state judging module is configured to receive actual impact pressure received by different door and window structures in the target closed space acquired by the measurement and control terminal, and judge whether each door and window structure in the target closed space is in a safety state according to the actual impact pressure and the impact pressure safety value of each door and window structure;
the safety opening and closing state determining module is configured to input the actual impact pressure received by each door and window structure in the target closed space into a space model of the target closed space when at least one door and window structure in the target closed space is not in a safety state, so as to obtain the safety opening and closing state of each door and window structure in the target closed space;
The anti-impact risk-avoiding actual control instruction generation module is configured to generate an anti-impact risk-avoiding actual control instruction for controlling each door and window structure to execute risk-avoiding opening and closing actions according to the current opening and closing state and the safe opening and closing state of each door and window structure in the target closed space.
Optionally, the cloud control end further includes:
the optimization instruction generation module is configured to execute an impact-resistant risk-avoiding optimization control instruction in a second impact environment by utilizing the measurement and control terminal of the edge data processing terminal driving target enclosed space when a model optimization request is received;
wherein the second impact environment is configured to naturally produce and act on impacts of different door and window structures in the target enclosed space in different directions, different times of action, and different strengths;
the shock-resistant risk-avoiding optimization control instruction is configured to control the optimal opening and closing states of different door and window structures in a second impact environment;
the space model optimizing module is configured to acquire the optimized impact pressure received by each door and window structure when different door and window structures are combined in different opening and closing states when a target closed space acquired by the measurement and control terminal is under a second impact environment by utilizing the edge data processing end, and optimize the space model according to the optimized impact pressure and the impact pressure safety value of each door and window structure.
Optionally, the model optimization request includes:
a first model optimization request generated by the edge data processing end based on user input; or a second model optimization request generated by the edge data processing end at intervals of preset time; or a third model optimization request generated by the edge data processing end when the set number and/or the set position of the measurement and control terminal in the target closed space are detected to change.
Optionally, the cloud control end further includes:
the space model management module is configured to preset different impact pressure safety values according to different environment association information and generate a space model suitable for different environments according to the different impact pressure safety values;
the system comprises a space model updating module, a closed space impact resistance risk avoidance module and a control module, wherein the space model updating module is configured to select different space models to perform closed space impact resistance risk avoidance control based on changed environment association information when an environment association information change signal is received.
Optionally, the environment-related information includes one or a combination of season information, location information, or weather information in which the target enclosed space is located.
In a second aspect of the present invention, there is provided a smart door and window control method, including:
The cloud control end transmits a space model corresponding to a target closed space to an edge data processing end of the target closed space;
after receiving the space model transmitted by the cloud control end, the edge data processing end generates and issues an impact-resistant risk-avoiding actual control instruction to the measurement and control terminal according to actual impact data transmitted by the measurement and control terminal;
the measurement and control terminals are arranged on a plurality of door and window structures impacted in the target enclosed space, actual impact data of the door and window structures are obtained, the actual impact data are transmitted to the edge data processing end, and when an impact-resistant danger-avoiding actual control instruction is received, the door and window structures are driven to execute impact-resistant danger-avoiding actual actions.
The invention has the beneficial effects that: the invention provides an impact-resistant danger-avoiding control system for a closed space and an intelligent door and window control method, wherein a unique space model is constructed for each closed space, and when actual impact data received by a door and window structure is received by using the space model, an opening and closing state for controlling the door and window structure in the closed space is generated, so that the pressure relief of the received strong impact is realized, the damage of the door and window structure is avoided, and the impact-resistant danger-avoiding is completed.
Drawings
FIG. 1 is a schematic diagram of a closed space impact resistance risk avoidance control system of the present invention;
fig. 2 is a schematic flow chart of the intelligent door and window control method of the present invention.
Reference numerals:
10-cloud control end; 20-an edge data processing end; and 30, measuring and controlling the terminal.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. 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.
Example 1:
referring to fig. 1, fig. 1 is a schematic structural diagram of an impact-resistant risk-avoiding control system for a closed space according to an embodiment of the present invention.
As shown in fig. 1, an impact-resistant risk-avoiding control system for a closed space includes: the cloud control terminal 10 is configured to transmit a space model corresponding to a target closed space to the edge data processing terminal 20 of the target closed space; the edge data processing end 20 is configured to generate and issue an impact-resistant risk-avoiding actual control instruction to the measurement and control terminal 30 according to actual impact data transmitted by the measurement and control terminal 30 after receiving the space model transmitted by the cloud control end 10; the measurement and control terminals 30 are arranged on a plurality of door and window structures impacted in the target enclosed space, and are configured to acquire actual impact data of the door and window structures, transmit the actual impact data to the edge data processing end 20, and drive the door and window structures to execute actual actions of impact resistance and risk avoidance when receiving an actual control instruction of impact resistance and risk avoidance.
In the prior art, the closed space formed by the door and window system with higher tightness has better performance in the aspects of air tightness, sound insulation, water resistance, heat insulation and the like, but the door and window structure forms a better closed space indoors, and under the scene of strong impact (typhoon exceeding the resistance limit, strong impact, fire and explosion impact and the like), the strong impact can cause the door and window structure to be damaged, broken or even exploded under high pressure, so that the service life of the door and window system is reduced, and on the other hand, the material of the door and window structure causes extremely high danger after the door and window structure is damaged, broken or even exploded. Therefore, according to the embodiment, the actual impact data received by the door and window structure is monitored, and the opening and closing state combination of different door and window structures in the target closed space is generated according to the design configuration unique to the actual impact data and the target closed space and the internal space flow field, so that pressure relief when the target closed space receives strong impact is realized, damage to the door and window structure is avoided, and service life and use safety of the door and window system are influenced.
Specifically, the embodiment uses the cloud control end 10 to transmit the generated space model to the edge data processing end 20 of the target enclosed space (for example, a residential house), uses the measurement and control terminals 30 of a plurality of door and window structures which are impacted in the target enclosed space to collect the actual impact data received by the door and window structures, finally uses the edge data processing end 20 to collect the actual impact data, uses the collected actual impact data and the space model to generate the actual control instruction of impact resistance and risk avoidance for adjusting the opening and closing states of different door and window structures, and drives the corresponding door and window structures to execute the actual action of impact resistance and risk avoidance so as to release the pressure of the door and window structure which is impacted greatly from the door and window structures after other openings and closings, thereby ensuring that the impact pressure received by each door and window structure in the whole door and window system is within the allowable range and cannot be damaged by the impact.
In a preferred embodiment, the cloud control terminal 10 specifically includes: the training instruction generation module is configured to generate and issue an impact-resistant risk-avoidance training control instruction packet to the edge data processing end 20 according to a model training request when the model training request transmitted by the edge data processing end 20 is received; the space model building module is configured to build a space model of the target enclosed space based on the training impact data when the training impact data corresponding to the impact resistance risk avoidance training control instruction packet transmitted by the edge data processing end 20 is received.
In a preferred embodiment, the edge data processing end 20 specifically includes: a model training request generation module configured to generate a model training request in response to a training drive signal input by a user; wherein the model training request includes identification information of the measurement and control terminal 30 in the target enclosed space; the anti-impact risk avoidance training module is configured to, when receiving an anti-impact risk avoidance training control command packet issued by the cloud control terminal 10, issue an anti-impact risk avoidance training control command extracted from the anti-impact risk avoidance training control command packet to the measurement and control terminal 30, so that the measurement and control terminal 30 performs an anti-impact risk avoidance training action in a first impact environment, and transmit acquired training impact data to the cloud control terminal 10.
In this embodiment, considering that different enclosed spaces have different design configurations (such as indoor room size, position, etc.) and internal space flow fields (such as indoor furnishings, etc.), the cloud control terminal 10 needs to generate a unique space model of each enclosed space, so as to adapt to different impact pressure distributions faced by different enclosed spaces when performing impact protection and evacuation. Therefore, in the embodiment, the space model is constructed by performing the impact-resistant risk-avoiding training control before the impact-resistant risk-avoiding actual control and utilizing training impact data obtained by the impact risk-avoiding training action.
Specifically, the edge data processing end 20 responds to a training driving signal input by a user, the training driving signal includes identification information of the measurement and control terminal 30 in a target enclosed space of the user, a model training request is generated by using the training driving signal, the cloud control end 10 generates an anti-impact risk avoidance training control command packet by using the model training request, after that, the edge data processing end 20 drives the measurement and control terminal 30 to execute an anti-impact risk avoidance training action under a first impact environment by using an anti-impact risk avoidance training control command in the anti-impact risk avoidance training command packet, and finally, the cloud control end 10 constructs a space model of the target enclosed space according to training impact data generated by the anti-impact risk avoidance training action. Therefore, through autonomous starting of a user, the space model which can adapt to the design configuration of a corresponding closed space and the flow field of the inner space is obtained by utilizing the impact resistance and risk avoidance training action of the edge data processing end 20, the acquired training impact data and the space model construction of the cloud control end 10, so that the accuracy in executing the impact resistance and risk avoidance is improved, and the safety of the whole door and window system is high enough.
In a preferred embodiment, the training instruction generation module specifically includes: the door and window structure information extraction unit is configured to extract the door and window structure information of the target door and window structure corresponding to the identification information in the set correspondence table of the measurement and control terminal 30 and the door and window structure according to the identification information in the model training request when the model training request transmitted by the edge data processing end 20 is received; the training instruction generation unit is configured to match the shock-resistant risk-avoiding training strategy corresponding to the model training request in a comparison table of the door and window structure information and the shock-resistant risk-avoiding training strategy; the anti-impact risk avoidance training strategy includes an anti-impact risk avoidance training control instruction executed by the measurement and control terminal 30.
Wherein, the anti-impact risk avoidance training strategy further comprises: an impact generation instruction executed by an impact environment manufacturing apparatus, the impact generation instruction, when executed by the impact environment manufacturing apparatus, generating a first impact environment for a target enclosed space; wherein the first impact environment is configured to act on impacts of different door and window structures in a target enclosed space in different directions, different times of action, and different intensities; the shock-resistant risk-avoiding training control command includes a control command for controlling different door and window structures to execute different opening and closing actions under a first shock environment by different measurement and control terminals 30 in a target enclosed space.
In this embodiment, when an impact-resistant risk avoidance training control instruction packet is generated, according to the identification information of each measurement and control terminal 30 in the model training request, the corresponding measurement and control terminal 30 is matched and the door and window structure of the measurement and control terminal 30 is set by using the identification information, so that according to the door and window structure information of the door and window structure, the impact-resistant risk avoidance training strategy corresponding to the model training request is obtained by matching, wherein the impact-resistant risk avoidance training strategy comprises an impact-resistant risk avoidance training control instruction executed by the measurement and control terminal 30 and an impact generation instruction executed by impact environment manufacturing equipment, a first impact environment is generated by using the impact generation instruction, and finally, training impact data is obtained by using the impact-resistant risk avoidance training control instruction to drive the measurement and control terminal 30 to execute different opening and closing actions under the first impact environment. Specifically, the training impact data is an impact value received by each door and window structure when the door and window structure faces impacts with different directions, different action times and different strengths, and in practical application, the impact value can be a wind pressure value, and the impact environment manufacturing equipment can be a fan.
Therefore, training impact data is obtained, the training impact data characterizes impact values received by door and window structures corresponding to different measurement and control terminals 30 in a target closed space when the door and window structures face impacts in different scenes and have different opening and closing state combinations, and design configurations in the target closed space and flow fields in the inner space can be quantized and correspondingly expressed by utilizing the impact values, so that the opening and closing state of each door and window structure which is regulated to a safe state and is not damaged is determined and controlled.
It should be noted that, the measurement and control terminal 30 specifically includes: the anti-impact risk avoidance training execution module is configured to control the training opening and closing states of different door and window structures according to the received anti-impact risk avoidance training control instruction; the training impact data acquisition module is configured to acquire training impact pressure received by each door and window structure when different door and window structures are combined in different opening and closing states of the target closed space in a first impact environment; the anti-impact risk avoiding actual execution module is configured to control the actual opening and closing states of different door and window structures according to the received anti-impact risk avoiding actual control instruction; and the actual impact data acquisition module is configured to acquire actual impact pressure received by different door and window structures in the target enclosed space.
In practical applications, the measurement and control terminal 30 is configured to have or connect with an impact collection device (such as a wind pressure sensor) and an impact-resistant risk-avoidance training execution device (such as a motor for driving a door and window structure to adjust an opening and closing state (opening and closing and angle)), and the impact-resistant risk-avoidance training execution device and the impact collection device can be used for realizing the execution of an impact-resistant risk-avoidance training action and the collection of training impact data, and simultaneously, the collection of the actual impact data and the execution of the impact-resistant risk-avoidance actual action in the face of an actual impact.
In a preferred embodiment, the spatial model construction module specifically includes: an impact pressure safety value determining unit configured to match an impact pressure safety value of each door and window structure in a door and window structure database according to the identification information in the model training request; a space model construction unit configured to construct and obtain a space model according to the training impact pressure received by each door and window structure and the impact pressure safety value of each door and window structure; when the space model inputs impacts with different directions, different action times and different intensities, the opening and closing states of different door and window structures, wherein the impact pressure of each door and window structure is smaller than the corresponding impact pressure safety value, are output.
Wherein, the edge data processing end 20 further includes: the safety state judging module is configured to receive actual impact pressure received by different door and window structures in the target enclosed space acquired by the measurement and control terminal 30, and judge whether each door and window structure in the target enclosed space is in a safety state according to the actual impact pressure and the impact pressure safety value of each door and window structure; the safety opening and closing state determining module is configured to input the actual impact pressure received by each door and window structure in the target closed space into a space model of the target closed space when at least one door and window structure in the target closed space is not in a safety state, so as to obtain the safety opening and closing state of each door and window structure in the target closed space; the anti-impact risk-avoiding actual control instruction generation module is configured to generate an anti-impact risk-avoiding actual control instruction for controlling each door and window structure to execute risk-avoiding opening and closing actions according to the current opening and closing state and the safe opening and closing state of each door and window structure in the target closed space.
In this embodiment, when constructing the space model, the space model of the target enclosed space is constructed by firstly matching the impact pressure safety value of the corresponding door and window structure, that is, the door and window damage critical impact value, with the identification information of the measurement and control terminal 30 in the model training request, and by using the impact pressure safety value of each door and window structure and the training impact data when executing the impact resistance risk avoidance training action. When the constructed space model inputs impacts with different directions, different acting times and different intensities, the open-close states of different door and window structures, which ensure that the impact pressure received by each door and window structure is smaller than the corresponding impact pressure safety value, are output.
In practical application, the space model is constructed by extracting the open-close state (whether the open-close state and the open-close angle) of each door and window structure are in when the impact pressure received by each door and window structure is smaller than the corresponding impact pressure safety value from training impact data, so as to generate a list of open-close state combinations of each corresponding door and window structure when all the door and window structures in a target closed space are in the safety state under different impact scenes, and when the space model is used for impact avoidance, the list index is carried out through the acquired actual impact data received by each door and window structure, so that the open-close state combination of the door and window structure when all the door and window structures in the target closed space are in the safety state is found, and then the impact avoidance practical action is executed according to the open-close state combination; in practical application, the space model can be constructed by constructing a deep neural network model, utilizing the impact pressure of training the impact data when all door and window structures are in the safe state as the extracted input training feature, utilizing the opening and closing state of the training data when all the door and window structures are in the safe state as the extracted output training feature, training the deep neural network to obtain the space model capable of representing the relation between the impact pressure of the door and window structures in the safe state and the opening and closing state, predicting the opening and closing state combination of each door and window structure when all the door and window structures are adjusted to be in the safe state by utilizing the space model and the acquired actual impact data of each door and window structure, and further executing the impact-resistant and risk-avoiding actual action according to the opening and closing state combination.
In a preferred embodiment, the cloud control terminal 10 further includes: the optimization instruction generation module is configured to execute an impact-resistant risk-avoiding optimization control instruction in a second impact environment by utilizing the measurement and control terminal 30 of the edge data processing terminal driving target enclosed space when a model optimization request is received; wherein the second impact environment is configured to naturally produce and act on impacts of different door and window structures in the target enclosed space in different directions, different times of action, and different strengths; the shock-resistant risk-avoiding optimization control instruction is configured to control the optimal opening and closing states of different door and window structures in a second impact environment; the space model optimizing module is configured to acquire the optimized impact pressure received by each door and window structure when different door and window structures are combined in different opening and closing states when the target closed space acquired by the measurement and control terminal 30 is under the second impact environment by utilizing the edge data processing end 20, and optimize the space model according to the optimized impact pressure and the impact pressure safety value of each door and window structure.
In this embodiment, considering that the spatial model corresponding to the target enclosed space is not always unchanged, it may change over time or under some scenes (for example, the wall is added and removed due to indoor decoration or new indoor furnishing objects are added, etc.), at this time, the spatial model needs to be optimized according to the model optimization request generated by the change, so that it can adapt to the change of the actual scene, and the adaptability of the spatial model is improved. Specifically, when the space model is optimized, the optimized impact pressure of each door and window structure is controlled to be received in different opening and closing states by using a second impact environment (impacts of different door and window structures in different directions, different action times and different strengths which are naturally generated and acted on a target closed space), and the space model is optimized by using the optimized impact pressure and the impact pressure safety value of each door and window structure. It should be noted that, although the second impact environment cannot maintain stable wind pressure like the first impact environment, the second impact environment provides relatively durable wind pressure, and the space model can be continuously optimized by using continuous wind pressure data and the opening and closing states of the wind pressure data corresponding to the door and window structure, so that the space model is more and more accurate.
In practical applications, the model optimization request includes: a first model optimization request generated by the edge data processing side 20 based on user input; or a second model optimization request generated by the edge data processing end 20 at intervals of a preset time; or a third model optimization request generated by the edge data processing end 20 when detecting that the set number and/or the set position of the measurement and control terminals 30 in the target closed space change.
In a preferred embodiment, the cloud control terminal 10 further includes: the space model management module is configured to preset different impact pressure safety values according to different environment association information and generate a space model suitable for different environments according to the different impact pressure safety values; the system comprises a space model updating module, a closed space impact resistance risk avoidance module and a control module, wherein the space model updating module is configured to select different space models to perform closed space impact resistance risk avoidance control based on changed environment association information when an environment association information change signal is received.
In this embodiment, considering that the safety of impact resistance and risk avoidance has different standards when having different environmental association information, for example, coastal areas generally have wind pressure conditions with higher frequency and higher strength, so that a door and window system is subjected to wind pressure impact and vibration for a long time to easily damage the stable structure of the door and window structure, and further abnormal noise affects the use experience, the service life of the door and window, and the like, the door and window system in the environment needs to be provided with higher safety monitoring and impact resistance and risk avoidance control. Therefore, in this embodiment, different impact pressure safety values are set for different environment-related information, for example, a lower impact pressure safety value is set for coastal areas, so that the impact pressure safety value is more sensitive to wind pressure, a space model under the environment is generated, the space model under different scenes is stored, when the environment of a target enclosed space is switched to the environment scene, a user can directly call and manage the stored space model, and the environmental adaptability of the system is improved.
In practical application, the environment-related information includes one or a combination of season information, location information or weather information of the target enclosed space.
Therefore, the embodiment provides the closed space impact-resistant risk-avoiding control system, a unique space model is constructed for each closed space, and when the space model is used for receiving actual impact data received by a door and window structure, the open-close state for controlling the door and window structure in the closed space is generated, so that the pressure relief is realized on the received strong impact, the damage of the door and window structure is avoided, and the impact-resistant risk-avoiding is completed.
Referring to fig. 2, fig. 2 is a schematic flow chart of a control method for an intelligent door and window according to an embodiment of the present invention.
As shown in fig. 2, a method for controlling an intelligent door and window includes the steps of:
s1: the cloud control end transmits a space model corresponding to a target closed space to an edge data processing end of the target closed space;
s2: after receiving the space model transmitted by the cloud control end, the edge data processing end generates and issues an impact-resistant risk-avoiding actual control instruction to the measurement and control terminal according to actual impact data transmitted by the measurement and control terminal;
s3: the measurement and control terminals are arranged on a plurality of door and window structures impacted in the target enclosed space, actual impact data of the door and window structures are obtained, the actual impact data are transmitted to the edge data processing end, and when an impact-resistant danger-avoiding actual control instruction is received, the door and window structures are driven to execute impact-resistant danger-avoiding actual actions.
The specific implementation of the intelligent door and window control method is basically the same as the embodiments of the closed space impact-resistant risk-avoiding control system, and is not repeated here.
In describing embodiments of the present invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "center", "top", "bottom", "inner", "outer", "inside", "outside", etc. indicate orientations or positional relationships based on the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Wherein "inside" refers to an interior or enclosed area or space. "peripheral" refers to the area surrounding a particular component or region.
In the description of embodiments of the present invention, the terms "first," "second," "third," "fourth" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", "a third" and a fourth "may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
In describing embodiments of the present invention, it should be noted that the terms "mounted," "connected," and "assembled" are to be construed broadly, as they may be fixedly connected, detachably connected, or integrally connected, unless otherwise specifically indicated and defined; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In the description of embodiments of the invention, a particular feature, structure, material, or characteristic may be combined in any suitable manner in one or more embodiments or examples.
In the description of the embodiments of the present invention, it is to be understood that "-" and "-" denote the same ranges of the two values, and the ranges include the endpoints. For example: "A-B" means a range greater than or equal to A and less than or equal to B. "A-B" means a range of greater than or equal to A and less than or equal to B.
In the description of embodiments of the present invention, the term "and/or" is merely an association relationship describing an association object, meaning that three relationships may exist, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. An enclosed space impact-resistant risk-avoidance control system, comprising:
the cloud control end is configured to transmit a space model corresponding to the target closed space to an edge data processing end of the target closed space;
the edge data processing end is configured to generate and issue an impact-resistant risk-avoiding actual control instruction to the measurement and control terminal according to actual impact data transmitted by the measurement and control terminal after receiving the space model transmitted by the cloud control end;
the system comprises a plurality of measurement and control terminals, a plurality of control terminals and a plurality of control terminals, wherein the measurement and control terminals are arranged in a target closed space and are impacted by a plurality of door and window structures, and are configured to acquire actual impact data of the door and window structures, transmit the actual impact data to an edge data processing end, and drive the door and window structures to execute actual impact and risk prevention actions when receiving an actual impact and risk prevention control instruction;
The impact-resistant danger-avoiding actual action is used for adjusting the opening and closing states of different door and window structures so as to enable the impact pressure born by each door and window structure in the door and window system to be in an allowable range;
the cloud control end specifically comprises:
the training instruction generation module is configured to generate and issue an impact-resistant risk-avoiding training control instruction packet to the edge data processing end according to a model training request when the model training request transmitted by the edge data processing end is received;
the space model construction module is configured to construct a space model of the target closed space based on training impact data when receiving the training impact data corresponding to the impact-resistant risk-avoiding training control instruction packet transmitted by the edge data processing end;
the space model construction module specifically comprises:
an impact pressure safety value determining unit configured to match an impact pressure safety value of each door and window structure in a door and window structure database according to the identification information in the model training request; the identification information is used for matching the corresponding measurement and control terminal and setting the door and window structure of the measurement and control terminal;
A space model construction unit configured to construct and obtain a space model according to the training impact pressure received by each door and window structure and the impact pressure safety value of each door and window structure;
when the space model inputs impacts with different directions, different action times and different intensities, the space model outputs the opening and closing states of different door and window structures, wherein the impact pressure of each door and window structure is smaller than the corresponding impact pressure safety value;
the edge data processing end specifically comprises:
a model training request generation module configured to generate a model training request in response to a training drive signal input by a user; the model training request comprises identification information of a measurement and control terminal in the target enclosed space;
the anti-impact risk avoidance training module is configured to send an anti-impact risk avoidance training control instruction extracted from the anti-impact risk avoidance training control instruction packet to the measurement and control terminal when receiving the anti-impact risk avoidance training control instruction packet sent by the cloud control terminal, so that the measurement and control terminal executes anti-impact risk avoidance training actions in a first impact environment and transmits acquired training impact data to the cloud control terminal;
Wherein the first impact environment is configured to impact the environment manufacturing apparatus and to impact different door and window structures in the target enclosed space in different directions, different times of action, and different intensities;
the cloud control end further comprises:
the optimization instruction generation module is configured to execute an impact-resistant risk-avoiding optimization control instruction in a second impact environment by utilizing the measurement and control terminal of the edge data processing terminal driving target enclosed space when a model optimization request is received;
wherein the second impact environment is configured to naturally produce and act on impacts of different door and window structures in the target enclosed space in different directions, different times of action, and different strengths;
the shock-resistant risk-avoiding optimization control instruction is configured to control the optimal opening and closing states of different door and window structures in a second impact environment;
the space model optimizing module is configured to acquire the optimized impact pressure received by each door and window structure when different door and window structures are combined in different opening and closing states when a target closed space acquired by the measurement and control terminal is under a second impact environment by utilizing the edge data processing end, and optimize the space model according to the optimized impact pressure and the impact pressure safety value of each door and window structure.
2. The enclosed space impact-resistant risk-avoidance control system of claim 1 wherein the training instruction generation module specifically comprises:
the door and window structure information extraction unit is configured to extract the door and window structure information of a target door and window structure corresponding to the identification information in a corresponding relation table of the measurement and control terminal and the door and window structure according to the identification information in the model training request when the model training request transmitted by the edge data processing end is received;
the training instruction generation unit is configured to match the shock-resistant risk-avoiding training strategy corresponding to the model training request in a comparison table of the door and window structure information and the shock-resistant risk-avoiding training strategy;
the anti-impact risk avoidance training strategy comprises an anti-impact risk avoidance training control instruction executed by the measurement and control terminal.
3. The enclosure impact risk avoidance control system of claim 2 wherein the impact risk avoidance training strategy further comprises:
an impact generation instruction executed by an impact environment manufacturing apparatus, the impact generation instruction, when executed by the impact environment manufacturing apparatus, generating a first impact environment for a target enclosed space;
The impact-resistant risk-avoiding training control instruction comprises a control instruction for controlling different door and window structures to execute different opening and closing actions under a first impact environment by different measurement and control terminals in a target enclosed space.
4. The enclosed space impact-resistant risk-avoidance control system of claim 3 wherein the measurement and control terminal specifically comprises:
the anti-impact risk avoidance training execution module is configured to control the training opening and closing states of different door and window structures according to the received anti-impact risk avoidance training control instruction;
the training impact data acquisition module is configured to acquire training impact pressure received by each door and window structure when different door and window structures are combined in different opening and closing states of the target closed space in a first impact environment;
the anti-impact risk avoiding actual execution module is configured to control the actual opening and closing states of different door and window structures according to the received anti-impact risk avoiding actual control instruction;
and the actual impact data acquisition module is configured to acquire actual impact pressure received by different door and window structures in the target enclosed space.
5. The enclosure impact collision avoidance control system of claim 4 wherein the edge data processing terminal further comprises:
the safety state judging module is configured to receive actual impact pressure received by different door and window structures in the target closed space acquired by the measurement and control terminal, and judge whether each door and window structure in the target closed space is in a safety state according to the actual impact pressure and the impact pressure safety value of each door and window structure;
the safety opening and closing state determining module is configured to input the actual impact pressure received by each door and window structure in the target closed space into a space model of the target closed space when at least one door and window structure in the target closed space is not in a safety state, so as to obtain the safety opening and closing state of each door and window structure in the target closed space;
the anti-impact risk-avoiding actual control instruction generation module is configured to generate an anti-impact risk-avoiding actual control instruction for controlling each door and window structure to execute risk-avoiding opening and closing actions according to the current opening and closing state and the safe opening and closing state of each door and window structure in the target closed space.
6. The enclosure impact avoidance control system of claim 1 wherein the model optimization request comprises:
a first model optimization request generated by the edge data processing end based on user input; or (b)
Generating a second model optimization request at intervals of preset time by the edge data processing end; or (b)
And a third model optimization request generated by the edge data processing end when the set number and/or the set position of the measurement and control terminals in the target closed space are detected to change.
7. The enclosed space impact resistant risk avoidance control system of claim 5 wherein the cloud control terminal further comprises:
the space model management module is configured to preset different impact pressure safety values according to different environment association information and generate a space model suitable for different environments according to the different impact pressure safety values;
the system comprises a space model updating module, a closed space impact resistance risk avoidance module and a control module, wherein the space model updating module is configured to select different space models to perform closed space impact resistance risk avoidance control based on changed environment association information when an environment association information change signal is received.
8. The enclosure impact collision avoidance control system of claim 7 wherein the environmental-related information comprises one or a combination of seasonal, positional, or weather information in which the target enclosure is located.
9. A smart door and window control method for the enclosed space impact-resistant risk-avoidance control system according to any one of claims 1 to 8, comprising:
the cloud control end transmits a space model corresponding to a target closed space to an edge data processing end of the target closed space;
after receiving the space model transmitted by the cloud control end, the edge data processing end generates and issues an impact-resistant risk-avoiding actual control instruction to the measurement and control terminal according to actual impact data transmitted by the measurement and control terminal;
the measurement and control terminals are arranged on a plurality of door and window structures impacted in a target enclosed space, actual impact data of the door and window structures are obtained, the actual impact data are transmitted to the edge data processing end, and when an impact-resistant danger-avoiding actual control instruction is received, the door and window structures are driven to execute an impact-resistant danger-avoiding actual action; the impact-resistant danger-avoiding actual action is used for adjusting the opening and closing states of different door and window structures so as to enable the impact pressure born by each door and window structure in the door and window system to be in an allowable range;
wherein the method further comprises:
the edge data processing end responds to a training driving signal input by a user to generate a model training request; the model training request comprises identification information of a measurement and control terminal in the target enclosed space;
When receiving a model training request transmitted by an edge data processing end, the cloud control end generates and issues an impact-resistant risk-avoiding training control instruction packet to the edge data processing end according to the model training request;
when receiving an impact-resistant risk-avoiding training control instruction packet issued by a cloud control end, the edge data processing end issues an impact-resistant risk-avoiding training control instruction extracted from the impact-resistant risk-avoiding training control instruction packet to a measurement and control terminal, so that the measurement and control terminal executes impact-resistant risk-avoiding training actions in a first impact environment and transmits acquired training impact data to the cloud control end;
when receiving training impact data corresponding to the impact-resistant risk-avoiding training control instruction packet transmitted by the edge data processing end, the cloud control end builds a space model of a target enclosed space based on the training impact data; the method specifically comprises the following steps:
according to the identification information in the model training request, the impact pressure safety value of each door and window structure is matched in a door and window structure database; the identification information is used for matching the corresponding measurement and control terminal and setting the door and window structure of the measurement and control terminal;
constructing and obtaining a space model according to the training impact pressure received by each door and window structure and the impact pressure safety value of each door and window structure;
When the space model inputs impacts with different directions, different action times and different intensities, the space model outputs the opening and closing states of different door and window structures, wherein the impact pressure of each door and window structure is smaller than the corresponding impact pressure safety value;
wherein the method further comprises:
when the cloud control terminal receives the model optimization request, the edge data processing terminal is utilized to drive the measurement and control terminal of the target enclosed space to execute an impact-resistant risk-avoiding optimization control instruction in a second impact environment;
the cloud control end obtains the optimized impact pressure received by each door and window structure when different door and window structures are combined in different opening and closing states when a target closed space acquired by the measurement and control terminal is in a second impact environment by utilizing the edge data processing end, and optimizes the space model according to the optimized impact pressure and the impact pressure safety value of each door and window structure;
wherein the second impact environment is configured to naturally produce and act on impacts of different door and window structures in the target enclosed space in different directions, different times of action, and different strengths;
the impact-resistant risk-avoiding optimization control command is configured to control the optimal opening and closing states of different door and window structures in the second impact environment.
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| CN113435508A (en) * | 2021-06-28 | 2021-09-24 | 中冶建筑研究总院（深圳）有限公司 | Method, device, equipment and medium for detecting opening state of glass curtain wall opening window |
| CN113408932A (en) * | 2021-07-03 | 2021-09-17 | 北京工业大学 | Short building enclosure member wind disaster loss analysis method considering typhoon holding time effect |
| CN114233144A (en) * | 2021-12-20 | 2022-03-25 | 镇威五金玻璃制品(中山)有限公司 | Protection structure for improving safety of door and window |
| CN114251039A (en) * | 2021-12-27 | 2022-03-29 | 浙江沃科思智能科技集团有限公司 | Intelligent door and window and control method thereof |
| CN114690658A (en) * | 2022-03-10 | 2022-07-01 | 深圳绿米联创科技有限公司 | Device control method, device, system and storage medium |
| CN114675539A (en) * | 2022-03-29 | 2022-06-28 | 江苏希尔登家居有限公司 | Door and window intelligent control system of independently studying |
| CN115525081A (en) * | 2022-09-15 | 2022-12-27 | 哈尔滨工业大学 | Building indoor environment self-adaptive adjusting system and control method |
| CN116181183A (en) * | 2023-03-16 | 2023-05-30 | 重庆长安汽车股份有限公司 | Vehicle window control method and device, vehicle and storage medium |
| CN116256980A (en) * | 2023-05-15 | 2023-06-13 | 四川名人居门窗有限公司 | Indoor environment self-learning control method and system |
| CN116415339A (en) * | 2023-06-06 | 2023-07-11 | 四川名人居门窗有限公司 | Door and window risk prediction method, system and equipment based on structural stress tracking |
| CN116658033A (en) * | 2023-06-12 | 2023-08-29 | 河南兆基建设工程有限公司 | Intelligent door and window cloud intelligent operation system |
| CN116593282A (en) * | 2023-07-14 | 2023-08-15 | 四川名人居门窗有限公司 | Glass impact resistance reaction test system and method based on structured light |
| CN116876950A (en) * | 2023-09-05 | 2023-10-13 | 山东智赢门窗科技有限公司 | Intelligent door and window control system and method, computer equipment and storage medium |
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