CN116820059B - Big data platform management method and system for building operation and maintenance - Google Patents
Big data platform management method and system for building operation and maintenance Download PDFInfo
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Abstract
The invention discloses a big data platform management method and a system for building operation and maintenance, belonging to the field of intelligent buildings, wherein the method comprises the following steps: building regional security level; a trigger sensor and a detection sensor are arranged; constructing area association and generating trigger association of acquisition sensors; data acquisition is carried out on the detection sensor, and control parameters are generated; executing data acquisition of the trigger sensor to generate a trigger control parameter set; when building management is carried out, a trigger sensor and a closing detection sensor are started; when the trigger sensor is triggered, the trigger control parameter set is matched, and the data acquisition and early warning of the target building are realized through the matched control parameters. The method solves the technical problems of inaccurate building early warning and low efficiency caused by data island due to separate processing of data acquisition in the existing building operation and maintenance, and achieves the technical effects of dynamically carrying out data acquisition by sensor linkage and improving the efficiency and accuracy of building operation and maintenance early warning.
Description
Technical Field
The invention relates to the field of intelligent buildings, in particular to a big data platform management method and system for building operation and maintenance.
Background
With the development of society, the traditional building operation management means is difficult to adapt to the management requirements of modern buildings. The existing building operation and maintenance management mainly adopts a mode of regular inspection and post maintenance, has low management efficiency, is difficult to monitor the actual state of the building in real time, and causes untimely early warning and great potential safety hazard. In addition, the management of each floor and each area is relatively independent, and the data acquisition and the application of building facility equipment are mutually isolated, so that information island is caused, and effective management and interconnection of resources cannot be realized.
Disclosure of Invention
The application provides a large data platform management method and a large data platform management system for building operation and maintenance, and aims to solve the technical problems of inaccurate building early warning and low efficiency caused by data island due to separate data acquisition and processing in the existing building operation and maintenance.
In view of the above, the present application provides a big data platform management method and system for building operation and maintenance.
In a first aspect of the disclosure, a method for managing a big data platform for building operation is provided, the method comprising: reading building pre-stored data of a target building, and carrying out data analysis according to the building pre-stored data to construct a building area security level; distributing acquisition sensors through the safety level of the building area, wherein the acquisition sensors comprise trigger sensors and detection sensors; constructing area association according to the area distribution of the building area, and generating triggering association of the acquisition sensor according to the area association result and the acquisition sensor layout result; image acquisition of N time period scenes is carried out on the detection sensor, and M-level division of the environment is carried out according to the image acquisition result, so that M-level control parameters are generated; executing synchronous image acquisition of N time period scenes of the trigger sensor, and generating a trigger control parameter set of M-level control parameters according to a synchronous acquisition result and trigger association; when the target building supervision and management is carried out through the building operation and maintenance platform, the trigger sensor is started, and the detection sensor is closed; when the trigger sensor is triggered, the trigger control parameter set is matched according to the real-time acquisition result, the matched trigger control parameter is sent to the association detection sensor, and the association detection sensor is controlled to perform data acquisition and early warning of the target building through the matched control parameter.
In another aspect of the present disclosure, a big data platform management system for building operations is provided, the system comprising: the safety level construction module is used for reading building pre-stored data of a target building, carrying out data analysis according to the building pre-stored data and constructing a building area safety level; the acquisition sensor layout module is used for layout of acquisition sensors through the safety level of the building area, wherein the acquisition sensors comprise trigger sensors and detection sensors; the sensor trigger association module is used for constructing area association according to the area distribution of the building area and generating trigger association of the acquisition sensor according to the area association result and the acquisition sensor layout result; the detection sensor acquisition module is used for carrying out image acquisition of N time period scenes on the detection sensor, carrying out M-level division on the environment according to the image acquisition result and generating M-level control parameters; the trigger sensor acquisition module is used for executing synchronous image acquisition of N time period scenes of the trigger sensor and generating a trigger control parameter set of M-level control parameters according to synchronous acquisition results and trigger association; the sensor control module is used for starting the trigger sensor and closing the detection sensor when the target building supervision and management is carried out through the building operation and maintenance platform; and the data acquisition early warning module is used for matching the trigger control parameter set according to the real-time acquisition result when the trigger sensor is triggered, sending the matched trigger control parameter to the associated detection sensor, and controlling the associated detection sensor to perform data acquisition early warning of the target building through the matched control parameter.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the building area security level is constructed by reading pre-stored building data and carrying out data analysis; distributing acquisition sensors according to the regional security level, wherein the acquisition sensors comprise trigger sensors and detection sensors; building area association according to the area distribution of the building area, and generating trigger association of the acquisition sensor; image acquisition of scenes in a plurality of time periods is carried out on the detection sensor, and environment division is carried out according to image acquisition results to generate control parameters; executing synchronous image acquisition of a plurality of time period scenes of the trigger sensor, and generating a trigger control parameter set according to a synchronous acquisition result and trigger association; when the building operation and maintenance platform is used for carrying out target building supervision and management, the trigger sensor is started, and the detection sensor is closed; when the trigger sensor is triggered, the trigger control parameter set is matched according to the real-time acquisition result, and the matched trigger control parameter is sent to the associated detection sensor, so that the technical scheme of data acquisition and early warning of the target building is realized, the technical problems of inaccurate building early warning and low efficiency caused by data island due to separate processing of data acquisition in the existing building operation and maintenance are solved, the technical effects of dynamically carrying out data acquisition in sensor linkage and improving the efficiency and accuracy of building operation and maintenance early warning are achieved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
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FIG. 1 is a schematic diagram of a possible flow chart of a big data platform management method for building operation and maintenance according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a possible trigger detection in the big data platform management method for building operation and maintenance according to an embodiment of the present application;
fig. 3 is a schematic diagram of a possible architecture of a big data platform management system for building operation and maintenance according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a safety level construction module 11, a sensor acquisition and layout module 12, a sensor triggering and association module 13, a detection sensor acquisition module 14, a triggering sensor acquisition module 15, a sensor control module 16 and a data acquisition and early warning module 17.
Detailed Description
The technical scheme provided by the application has the following overall thought:
the embodiment of the application provides a large data platform management method and a large data platform management system for building operation and maintenance, which are used for solving the problems of the existing building operation and maintenance method in terms of data acquisition and early warning, realizing comprehensive monitoring and effective early warning of building environment and improving the efficiency and safety of building operation and maintenance.
Firstly, building regional security level is constructed by reading pre-stored building data and carrying out data analysis, so that a foundation is provided for subsequent data acquisition and early warning. Secondly, according to the division of regional security level, rationally lay and gather the sensor, including trigger sensor and detection sensor to realize the monitoring and the collection to different regions. Meanwhile, region association is built according to the region distribution of the building region, and a basis is provided for the generation of subsequent trigger control parameters. And then, image acquisition of a plurality of time period scenes is carried out on the detection sensor, environment division is carried out according to acquisition results, control parameters are generated, the change and the state of the building environment are accurately known, and a basis is provided for subsequent early warning. And simultaneously, synchronous image acquisition of a plurality of time period scenes of the trigger sensor is executed, and a trigger control parameter set is generated according to a synchronous acquisition result and trigger association, so that data acquisition and early warning of a target building are realized. When building supervision and management is carried out through the building operation and maintenance platform, the triggering sensor is started, and the detection sensor is closed. Once the trigger sensor is triggered, the trigger control parameter set is matched according to the real-time data, and the matched parameters are sent to the detection sensor. And the detection sensor performs data acquisition and early warning of the target building according to the received parameters.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Embodiment one:
as shown in fig. 1, an embodiment of the present application provides a big data platform management method for building operation and maintenance, the method including:
reading building pre-stored data of a target building, and carrying out data analysis according to the building pre-stored data to construct a building area security level;
in the embodiment of the application, the target building refers to a building needing supervision, management and early warning; building pre-stored data refers to various types of data collected and stored during building construction and use, including, but not limited to, building structure data, equipment operation data, environmental monitoring data, and the like.
In order to perform security management on a target building, building pre-stored data needs to be analyzed first, and the building is divided into different regional security levels according to importance of building regions reflected in the data and possible occurrence frequency of faults or anomalies, wherein the higher the level is, the more important and more sensitive the region is. The division of the regional security level provides a reference basis for subsequent sensor layout and parameter generation. Firstly, determining division standards and factors of the safety level of the area according to the purpose and importance of the building area, such as high score of the important area, centering of the public area, low score of the auxiliary area and the like; secondly, carrying out quantitative and qualitative analysis on the historical data of each area, evaluating factors affecting the safety of the area, such as equipment failure times, environment index deviation times, fire alarm times and the like, and scoring; then, the safety grade is classified according to the grading result, for example, 80-100 is classified into one grade, 60-80 is classified into two grades, 40-60 is classified into three grades, and less than 40 is classified into four grades.
And by reading the pre-stored building data of the target building, analyzing the inherent association between the data, obtaining the regional classification basis and the evaluation standard of the building according to the data characteristics, and finally generating the building regional security level meeting the requirements, thereby providing basic support for supervision management and early warning of the building.
Distributing acquisition sensors through the building area safety level, wherein the acquisition sensors comprise trigger sensors and detection sensors;
in the embodiment of the application, the acquisition sensor is various sensing devices arranged in the target building and is used for acquiring building operation data and environmental parameters so as to realize supervision management and early warning of the building. The acquisition sensor comprises a trigger sensor and a detection sensor. The triggering sensor is a sensor for detecting an abnormal condition or event at first, has low precision and large range, and comprises various combinations, such as a sound sensor, an infrared sensor and the like, and when the triggering sensor is triggered, the triggering sensor needs to be started to further monitor, identify and early warn. The detection sensor is a sensing device such as an image sensor, a video monitoring device and the like which are arranged in the whole target building area, the precision is high, the range is small, when the associated trigger sensor is triggered and started, the detection sensor is started to monitor abnormal targets or conditions, early warning information is generated, and the starting and the closing of the detection sensor are controlled by the trigger sensor.
Firstly, according to the safety level of the constructed building area, different types or densities of acquisition sensors are selectively deployed in areas with different levels. And then determining the specific types of the triggering sensor and the detecting sensor, and meeting the supervision and management requirements of the corresponding area. For example, infrared imaging image sensing devices are deployed in long-term dark building areas. And finally, the physical layout of the sensors is completed, and logic association between the two types of sensors is established so as to realize automatic monitoring and early warning of events or abnormal conditions.
Constructing area association according to the area distribution of the building area, and generating triggering association of the acquisition sensor according to the area association result and the acquisition sensor layout result;
in the embodiment of the application, the area association refers to the mutual relation between a certain building area and adjacent or upper and lower areas in space position, and is an important basis for determining the triggering relation of the acquisition sensor. The association between building areas can be independent or can be mutually influenced. When an abnormal event occurs in a certain area, the security of the associated area may also be threatened or affected. Therefore, according to the space association between the areas, the corresponding trigger association of the acquisition sensor is established, and after the trigger sensor is activated, the detection sensor influenced by the trigger sensor needs to be correspondingly activated, so that linkage monitoring is realized.
Firstly, according to a plan view of a target building and a BIM model, analyzing the spatial relationship and influence degree of each region and adjacent or upper and lower regions, and establishing a correlation model among the regions. And secondly, determining a trigger sensor and a detection sensor which are distributed in each area according to the distribution result of the acquisition sensor. And finally, combining the area association model with a sensor layout result to generate trigger association between the trigger sensor and the related detection sensor, and waking up the related detection sensor through the trigger association after the trigger sensor is activated to realize area linkage monitoring.
And generating trigger association between the trigger sensor and the related detection sensor through the area association and the acquisition sensor layout result, realizing acquisition sensor linkage under the influence of the area, providing an area expansion mechanism for safety monitoring of the building, and enhancing the comprehensiveness and response capability of the monitoring.
Image acquisition of N time period scenes is carried out on the detection sensor, and M-level division of the environment is carried out according to an image acquisition result, so that M-level control parameters are generated;
in the embodiment of the application, the environment M level represents the level division of the environment state in the monitoring range of the detection sensor, the higher the level is, the more complex the environment is, and the more difficult the image acquisition and analysis is. The M-level control parameters are corresponding control parameters generated for the detection sensor according to the environmental M-level division result and are used for guiding the image acquisition work of the detection sensor in different environmental states, so that the monitoring precision and effect are improved.
Firstly, selecting a proper period to acquire images of the detection sensor, such as daytime, nighttime, workday, holiday and the like, so as to obtain monitoring images in various scenes. Then, images in different scenes are analyzed and compared, image quality, object recognition difficulty and the like are judged, the environment of the detection range is divided into M levels, and the environment is more complex when the level is higher. And finally, generating corresponding control parameters for each level according to the dividing result of the environment M level, and issuing the control parameters to a detection sensor, and carrying out fine control and adjustment on the image acquisition process under different environment states so as to improve the monitoring effect.
The image acquisition under the multi-period scene of the detection sensor is used for analyzing the influence brought by different environmental states on monitoring, dividing the environment into different levels, setting corresponding control parameters for each level, realizing the fine control of the detection sensor, ensuring the quality of the monitored image under the environmental change, improving the accuracy of event monitoring and identification and providing powerful guarantee for building safety management.
Executing synchronous image acquisition of N time period scenes of the trigger sensor, and generating a trigger control parameter set of M-level control parameters according to a synchronous acquisition result and the trigger association;
In the embodiment of the application, the triggering sensor refers to sensing equipment which is arranged in the target building and is used for initially detecting abnormal conditions, and the image acquisition result is used for starting the associated detection sensor. The trigger control parameter set is a group of control parameters which are generated according to the image acquisition result of the trigger sensor and correspond to the environment M level and are used for starting the control of the associated detection sensor when the trigger sensor detects an abnormal condition.
Firstly, N time periods which are the same as the detection sensor are selected, and the triggering sensor is subjected to image acquisition to obtain monitoring images under multiple scenes. And secondly, analyzing the corresponding relation between the acquired image and the M-level environment, wherein one trigger control parameter corresponds to a plurality of M-level control parameters due to lower accuracy of the trigger sensor and wide influence range. And finally, generating a group of trigger control parameters for each environment level according to the corresponding relation to form a trigger control parameter set. When the trigger sensor detects an abnormal condition, a group of control parameters of the trigger control parameter set are selected according to the current environment condition and are issued to the associated detection sensor to start the monitoring work of the associated detection sensor.
By analyzing the monitoring conditions of the trigger sensor in different environments, a group of corresponding trigger control parameters are generated for each environment, a trigger control parameter set is constructed, when the trigger sensor detects abnormal conditions, a group of corresponding control parameters in the trigger control parameter set are selected according to the current environment state, the associated detection sensor is guided to monitor events, the accuracy and reliability of monitoring work are improved, and the comprehensiveness and the intellectualization of building safety monitoring are enhanced.
When the target building supervision and management is carried out through the building operation and maintenance platform, the trigger sensor is started, and the detection sensor is closed;
in the embodiment of the application, the building operation and maintenance platform refers to a unified management platform integrating each monitoring system and acquisition sensor in the target building, and daily supervision management and event response processing of the building can be performed through the platform.
Firstly, the trigger sensor is selectively started through the building operation and maintenance platform, meanwhile, the work of the detection sensor is closed, and the standby state of the detection sensor is only maintained, so that a large amount of operation and storage resources of the detection sensor are saved, and the operation and maintenance cost of the platform is reduced. When an abnormal event or condition occurs, the triggering sensor transmits the detected abnormal information to the platform, and the platform judges whether the detecting sensor needs to be started for further processing. Only when the abnormal situation really exists and immediate response is needed, the platform gives an instruction to start the associated detection sensor, otherwise, the closing state of the detection sensor is maintained. The method and the device avoid the influence on the service life of the detection sensor caused by frequent start and stop of the detection sensor due to false alarm of the trigger sensor and the like, and improve the stability of a monitoring system.
Through the fine control of the trigger sensor and the detection sensor, reasonable management and saving of abnormal monitoring resources are realized, the operation cost of a platform is reduced, the monitoring level of the system is maintained, and omnibearing support is provided for building safety management.
When the trigger sensor is triggered, the trigger control parameter set is matched according to a real-time acquisition result, matched trigger control parameters are sent to the association detection sensor, and the association detection sensor is controlled to perform data acquisition and early warning on the target building through the matched control parameters.
In the embodiment of the application, when the trigger sensor is triggered by a real abnormal event, the trigger sensor firstly transmits monitoring information acquired in real time to the building operation and maintenance platform. And secondly, matching a group of trigger control parameters in the trigger control parameter set according to the received monitoring information and the current environment condition by the platform. Again, the platform issues the matched trigger control parameters to the detection sensor associated with the trigger sensor. And finally, starting monitoring work by the detection sensor according to the received control parameters, further identifying and monitoring the abnormal event, and generating early warning information.
By means of trigger monitoring of the trigger sensor and rapid matching and judgment of the platform, matched trigger control parameters are issued to the detection sensor, rapid response and monitoring early warning of abnormal events are achieved, and response speed and accuracy of building safety monitoring are improved.
Further, the embodiment of the application further comprises:
judging whether the matched control parameters are unique;
when the control parameters are not unique, performing one-by-one trigger verification of the control parameters;
receiving an image acquisition result corresponding to each control parameter, comparing the image performance of the image acquisition result, and generating feedback data according to the comparison result;
and executing data acquisition of the detection sensor according to the feedback data.
In one possible implementation, the platform matches multiple sets of control parameters with the current environmental conditions according to the real-time monitoring information of the trigger sensor, and further verification is required to select the optimal parameters.
Firstly, judging whether the trigger control parameter matched according to the monitoring information is unique or not, and if so, executing data acquisition; if not, the subsequent verification process is performed to accurately determine the control parameters, at this time, the platform sends the non-unique multiple sets of trigger control parameters to the detection sensor one by one, and the detection sensor monitors according to each parameter and generates a corresponding monitoring image. And then, the platform compares and analyzes the received multiple groups of monitoring images, judges which group of images is more accurate and clear in terms of expressing the monitoring target or environment, and generates corresponding parameter priority for each group of images according to the analysis result to serve as feedback data. And then comprehensively judging the parameter priority of each group of control parameters, and determining a group of control parameters with the highest parameter priority as optimal control parameters. And finally, transmitting the optimal control parameters to a detection sensor to guide the detection sensor to perform data acquisition and monitoring work of the abnormal event.
By judging and matching multiple groups of trigger control parameters, monitoring failure or false alarm caused by improper parameter selection is avoided, the priority and accuracy of the parameters are objectively and accurately judged, the parameters with the optimal monitoring effect of the detection sensor are selected, the accuracy of the monitoring result is improved, and accurate and efficient monitoring and early warning are realized.
Further, as shown in fig. 2, the embodiment of the present application further includes:
regional sound collection of building regions is carried out through a sound collection sensor, and a sound trigger value is constructed according to a sound collection result;
the method comprises the steps that regional wide area image acquisition of a building region is carried out through a wide area image acquisition sensor, and an image trigger value is built according to a wide area image acquisition result;
the method comprises the steps of collecting infrared data of a building area through an infrared collecting sensor, and constructing an infrared trigger value according to an infrared data collecting result, wherein the sound collecting sensor, the wide area image collecting sensor and the infrared collecting sensor are all the trigger sensors;
and triggering detection is carried out according to the sound trigger value, the image trigger value and the infrared trigger value.
In a preferred embodiment, the sound collection sensor, the wide area image collection sensor and the infrared collection sensor are all trigger sensors for detecting a preliminary abnormal situation or event within the target building area. The sound trigger value, the image trigger value and the infrared trigger value are critical values which are calculated according to the data acquired by the respective sensors and are used for judging whether the trigger condition is reached.
Firstly, respectively carrying out data acquisition on a building area through a sound acquisition sensor, a wide area image acquisition sensor and an infrared acquisition sensor to acquire sound data, image data and infrared heat signal data in the area. And secondly, respectively analyzing and processing the three data, judging the range difference of the abnormal data and the normal data, and calculating a sound trigger value, an image trigger value and an infrared trigger value, wherein the abnormal condition is judged when the trigger value is reached. And finally, mutually verifying the three trigger values, and starting the related detection sensor to monitor the event when the verification result reaches the trigger condition. The wide-area image acquisition sensor is wide in range and low in accuracy, and is mainly used for detecting whether a target or an environment in an area is greatly changed or not, and a trigger value is set according to factors such as change amplitude, frequency and the like. The sound collecting sensor and the infrared collecting sensor are used for monitoring finer changes, and the trigger value of the sound collecting sensor and the infrared collecting sensor is set according to the reference standard in the normal working environment.
The data obtained by the three trigger sensors respectively reflect different sides of the abnormal condition, compared with a single data source, the false alarm probability can be reduced through mutual verification trigger detection, the accuracy of trigger judgment is improved, the full-period monitoring and multi-angle analysis of various data providing events are fused, and the monitoring accuracy and reliability are greatly improved.
Further, the embodiment of the application further comprises:
when the wide area image acquisition sensor is triggered, performing target identification of a wide area image acquisition result;
determining tracking focus coordinates according to a target recognition result, synchronizing the tracking focus coordinates to the detection sensor, and performing position conversion of the tracking focus according to a layout result of the acquisition sensor;
and generating an auxiliary tracking focus according to the position conversion result, and carrying out synchronous acquisition control of the association detection sensor through the auxiliary tracking focus.
In a preferred embodiment, the tracking focal coordinates are center position coordinates of an anomaly target identified in the wide area image for directing the detection sensor to directionally monitor the anomaly target. The auxiliary tracking focus is generated according to the space conversion relation between the tracking focus coordinate and the arrangement position of the detection sensor and is used for playing a guiding role when the tracking focus coordinate exceeds the monitoring range of the detection sensor.
Firstly, when a wide area image acquisition sensor is triggered, carrying out target identification on a wide area image acquired by the wide area image acquisition sensor, and determining an abnormal target existing in the image. Next, center position coordinates of the identified abnormal target are calculated as tracking focus coordinates. And synchronizing the tracking focus coordinates to the distributed detection sensors, and performing space conversion on the tracking focus coordinates by the detection sensors according to the deployment positions of the detection sensors to judge whether the tracking focus is in the monitoring range of the detection sensors. If not, the coordinate of a point which is positioned in the monitoring range and is closest to the coordinate of the tracking focus is calculated through space conversion and is used as the auxiliary tracking focus. And finally, starting monitoring work by the detection sensor according to the auxiliary tracking focus, and carrying out fine monitoring and tracking on the target identification result.
The auxiliary tracking focus is calculated through space position conversion, and the auxiliary tracking focus plays a guiding role when the tracking focus exceeds the monitoring range of a certain detection sensor, so that the detection sensor optimally tracks and monitors an abnormal target, the problem that the detection sensor is unclear in recognition of the abnormal target due to improper focusing is avoided, and stable operation of monitoring work is ensured.
Further, the embodiment of the application further comprises:
obtaining a platform control mode of the building operation and maintenance platform;
the standard trigger value of the trigger sensor is interacted, and the standard trigger value is adjusted according to the platform control mode to generate a response trigger value;
and triggering detection is completed through triggering verification of the response triggering value on the sound triggering value, the image triggering value and the infrared triggering value.
In a possible embodiment, the building operation and maintenance platform control mode refers to a control scheme of the platform on the work of the acquisition sensor, and the control scheme comprises a normal work mode, a simulation drilling mode, a maintenance mode and the like. The standard trigger value is an initial threshold value which is calculated according to the normal working data of the acquisition sensor and used for judging whether the trigger condition is reached. The response trigger value is a trigger threshold value after the standard trigger value is adjusted according to the platform control mode, and is used for completing trigger detection in a specific control mode.
Firstly, a control mode currently adopted by the building operation and maintenance platform, such as a normal working mode, a simulation drilling mode or a maintenance mode, is obtained. And secondly, inquiring a standard trigger value of the trigger sensor, namely a threshold value for judging whether the trigger is triggered in a normal working mode. And then, correcting or amplifying the standard trigger value according to the obtained platform control mode to generate a response trigger value adapting to the current control mode. And finally, comparing the response trigger value with the sound trigger value, the image trigger value and the infrared trigger value to finish the trigger detection work. For example, in the simulated exercise mode, the response trigger value is relatively increased, so that the false alarm risk is reduced; in the maintenance mode, the response trigger value should be relatively reduced, the monitoring sensitivity is improved, and the like.
By dynamically adjusting the trigger threshold according to different control modes, the trigger detection has optimal parameter setting when working in various control modes, so that the conditions of monitoring failure, false alarm and the like caused by improper threshold are avoided, and accurate sensing and real-time response to the control modes are realized.
Further, the embodiment of the application further comprises:
setting a triggered linkage monitoring window;
after the detection sensor is triggered to be started to perform data acquisition, if no newly added feature is identified in the linkage monitoring window, a first closing authentication is generated;
If no new trigger occurs in the linkage monitoring window, generating a second closing authentication;
and closing the detection sensor according to the first closing authentication and the second closing authentication.
In the embodiment of the application, the linkage monitoring window refers to a time range set after the detection sensor is triggered and started and used for detecting whether the newly added data feature exists or not. The first closing authentication refers to verification information for closing the detection sensor, which is generated when no newly added data feature is found in the linkage monitoring window. The second closing authentication refers to verification information for closing the detection sensor, which is generated when no new trigger occurs in the linkage monitoring window.
Firstly, according to the technical indexes of the detection sensor, such as image frame rate, heat source positioning precision and the like, and in combination with the environmental characteristics of the arrangement position of the detection sensor, such as site width, target concentration and the like, the range of the linkage monitoring window is set, such as 30-60 seconds. And secondly, after the detection sensor is triggered to be started to perform data acquisition, analyzing the data acquired by the detection sensor in the linkage monitoring window, and judging whether newly added data features are found, such as change of a target motion track or occurrence of a newly added heat source. If not, a first shutdown authentication is generated. And judging whether newly added trigger occurs in the linkage monitoring window, and triggering the sensor again such as sound or infrared. If not, a second shutdown authentication is generated. Finally, after the first closing authentication and the second closing authentication are obtained, the operation of the detection sensor is closed.
By setting the linkage monitoring window and closing the authentication mechanism, the detection sensor is automatically closed when no abnormal event progress or new trigger is detected, so that energy waste caused by long-time starting is avoided.
Further, the embodiment of the application further comprises:
setting the period test data of the scene;
performing supervision and management test of the building operation and maintenance platform according to the periodic test data, and generating a test identifier;
and generating linked control compensation data according to the test identifier, and carrying out linked control updating of the acquisition sensor according to the control compensation data.
In a possible embodiment, the scenerised periodic test data refers to simulated abnormal data set for testing the supervision and management functions of the building operation and maintenance platform, and the test of the system performance is realized by periodically issuing the simulated abnormal data to the platform. The test identifier refers to the identification information which is generated after the platform is tested and indicates the test result. The control compensation data refers to correction compensation data which is carried out on the control logic or parameters of the existing acquisition sensor according to the test result and is used for optimizing the linkage control effect of the acquisition sensor.
Firstly, a group of simulated scene test data is set in combination with the actual condition of a target building, wherein the simulated scene test data comprises various possible abnormal events or states, and a time period for being periodically issued to a building operation and maintenance platform is set. And secondly, at a time node for issuing test data, the platform starts a corresponding supervision and management program and an acquisition sensor according to the received test data, so that supervision and management test on the building operation and maintenance platform is realized, the response conditions of the platform and the acquisition sensor in the test process are recorded, and finally a test identifier is generated. And thirdly, judging the performances of the platform and the acquisition sensor in the simulation test according to the test identification, and if the defects exist, generating corresponding control compensation data, such as adjusting a threshold value, changing linkage conditions and the like, for correcting and optimizing control logic or parameter setting between the platform and the acquisition sensor. And finally, issuing control compensation data to the platform and the acquisition sensor, updating control parameters of the platform and the acquisition sensor, and improving the effects of supervision and management and event response.
The system is periodically checked by using simulated scene test data, defects in the current control logic or parameter setting are found, compensation measures are timely generated and corrected, the periodic test and continuous optimization of the supervision and management functions of the building operation and maintenance platform are realized, and the supervision level and the response capability of the building operation and maintenance platform are continuously improved.
In summary, the big data platform management method for building operation and maintenance provided by the embodiment of the application has the following technical effects:
reading building pre-stored data of a target building, carrying out data analysis according to the building pre-stored data, constructing building area security level, and providing a foundation for subsequent sensor layout and management; distributing acquisition sensors through the safety level of the building area, wherein the acquisition sensors comprise triggering sensors and detection sensors, and building real-time monitoring and data acquisition provide means; constructing area association according to the area distribution of the building area, generating triggering association of the acquisition sensor according to the area association result and the acquisition sensor layout result, and providing a basis for linkage management and early warning; image acquisition of N time period scenes is carried out on the detection sensor, and environment M-level division is carried out according to image acquisition results, so that M-level control parameters are generated, and basis is provided for environment management and early warning parameter generation; executing synchronous image acquisition of N time period scenes of the trigger sensor, generating a trigger control parameter set of M-level control parameters according to synchronous acquisition results and trigger association, and providing parameter support for subsequent early warning; when the target building supervision and management is carried out through the building operation and maintenance platform, the trigger sensor is started, and the detection sensor is closed; when the trigger sensor is triggered, the trigger control parameter set is matched according to the real-time acquisition result, the matched trigger control parameter is sent to the association detection sensor, and the association detection sensor is controlled to perform data acquisition and early warning of the target building through the matched control parameter. When the trigger sensor is triggered, early warning is carried out according to real-time data, and linkage management is realized by triggering the association calling detection sensor. The technical effects of real-time, fine and intelligent management are achieved, and therefore the safety and accuracy of building operation and maintenance are improved.
Embodiment two:
based on the same inventive concept as the big data platform management method for building operation and maintenance in the foregoing embodiments, as shown in fig. 3, an embodiment of the present application provides a big data platform management system for building operation and maintenance, the system including:
the safety level construction module 11 is used for reading building pre-stored data of a target building, and carrying out data analysis according to the building pre-stored data to construct a building area safety level;
an acquisition sensor arrangement module 12 for arranging acquisition sensors through the building area security level, wherein the acquisition sensors comprise a trigger sensor and a detection sensor;
the sensor trigger association module 13 is used for constructing area association according to the area distribution of the building area and generating the trigger association of the acquisition sensor according to the area association result and the acquisition sensor layout result;
the detection sensor acquisition module 14 is used for acquiring images of N time-period scenes of the detection sensor, and performing M-level environmental division according to image acquisition results to generate M-level control parameters;
the trigger sensor acquisition module 15 is used for executing synchronous image acquisition of N time period scenes of the trigger sensor and generating a trigger control parameter set of M-level control parameters according to synchronous acquisition results and trigger association;
A sensor control module 16 for starting the trigger sensor and closing the detection sensor when the target building supervision is performed by the building operation platform;
and the data acquisition and early warning module 17 is used for matching the trigger control parameter set according to a real-time acquisition result when the trigger sensor is triggered, sending the matched trigger control parameter to the associated detection sensor, and controlling the associated detection sensor to perform data acquisition and early warning of the target building through the matched control parameter.
Further, the data acquisition and early warning module 17 includes the following steps:
judging whether the matched control parameters are unique;
when the control parameters are not unique, performing one-by-one trigger verification of the control parameters;
receiving an image acquisition result corresponding to each control parameter, comparing the image performance of the image acquisition result, and generating feedback data according to the comparison result;
and executing data acquisition of the detection sensor according to the feedback data.
Further, the embodiment of the application also comprises a multi-trigger detection module, which comprises the following execution steps:
regional sound collection of building regions is carried out through a sound collection sensor, and a sound trigger value is constructed according to a sound collection result;
The method comprises the steps that regional wide area image acquisition of a building region is carried out through a wide area image acquisition sensor, and an image trigger value is built according to a wide area image acquisition result;
the method comprises the steps of collecting infrared data of a building area through an infrared collecting sensor, and constructing an infrared trigger value according to an infrared data collecting result, wherein the sound collecting sensor, the wide area image collecting sensor and the infrared collecting sensor are all the trigger sensors;
and triggering detection is carried out according to the sound trigger value, the image trigger value and the infrared trigger value.
Further, the multi-trigger detection module further includes the following execution steps:
when the wide area image acquisition sensor is triggered, performing target identification of a wide area image acquisition result;
determining tracking focus coordinates according to a target recognition result, synchronizing the tracking focus coordinates to the detection sensor, and performing position conversion of the tracking focus according to a layout result of the acquisition sensor;
and generating an auxiliary tracking focus according to the position conversion result, and carrying out synchronous acquisition control of the association detection sensor through the auxiliary tracking focus.
Further, the multi-trigger detection module further includes the following execution steps:
Obtaining a platform control mode of the building operation and maintenance platform;
the standard trigger value of the trigger sensor is interacted, and the standard trigger value is adjusted according to the platform control mode to generate a response trigger value;
and triggering detection is completed through triggering verification of the response triggering value on the sound triggering value, the image triggering value and the infrared triggering value.
Further, the embodiment of the application further comprises a detection sensor closing module, which comprises the following execution steps:
setting a triggered linkage monitoring window;
after the detection sensor is triggered to be started to perform data acquisition, if no newly added feature is identified in the linkage monitoring window, a first closing authentication is generated;
if no new trigger occurs in the linkage monitoring window, generating a second closing authentication;
and closing the detection sensor according to the first closing authentication and the second closing authentication.
Further, the embodiment of the application also comprises a linkage control updating module, which comprises the following execution steps:
setting the period test data of the scene;
performing supervision and management test of the building operation and maintenance platform according to the periodic test data, and generating a test identifier;
And generating linked control compensation data according to the test identifier, and carrying out linked control updating of the acquisition sensor according to the control compensation data.
Any of the steps of the methods described above may be stored as computer instructions or programs in a non-limiting computer memory and may be called by a non-limiting computer processor to identify any method for implementing an embodiment of the present application, without unnecessary limitations.
Further, the first or second element may not only represent a sequential relationship, but may also represent a particular concept, and/or may be selected individually or in whole among a plurality of elements. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (7)
1. A big data platform management method for building operations, the method comprising:
reading building pre-stored data of a target building, and carrying out data analysis according to the building pre-stored data to construct a building area security level;
Distributing acquisition sensors through the building area safety level, wherein the acquisition sensors comprise trigger sensors and detection sensors;
constructing area association according to the area distribution of the building area, and generating triggering association of the acquisition sensor according to the area association result and the acquisition sensor layout result;
image acquisition of N time period scenes is carried out on the detection sensor, and M-level division of the environment is carried out according to an image acquisition result, so that M-level control parameters are generated;
executing synchronous image acquisition of N time period scenes of the trigger sensor, and generating a trigger control parameter set of M-level control parameters according to a synchronous acquisition result and the trigger association;
when the target building supervision and management is carried out through the building operation and maintenance platform, the trigger sensor is started, and the detection sensor is closed;
when the trigger sensor is triggered, matching the trigger control parameter set according to a real-time acquisition result, sending matched trigger control parameters to an associated detection sensor, and controlling the associated detection sensor to perform data acquisition and early warning on the target building through the matched control parameters;
the method further comprises the steps of:
judging whether the matched control parameters are unique;
When the control parameters are not unique, performing one-by-one trigger verification of the control parameters;
receiving an image acquisition result corresponding to each control parameter, comparing the image performance of the image acquisition result, and generating feedback data according to the comparison result;
and executing data acquisition of the detection sensor according to the feedback data.
2. The method of claim 1, wherein the method further comprises:
regional sound collection of building regions is carried out through a sound collection sensor, and a sound trigger value is constructed according to a sound collection result;
the method comprises the steps that regional wide area image acquisition of a building region is carried out through a wide area image acquisition sensor, and an image trigger value is built according to a wide area image acquisition result;
the method comprises the steps of collecting infrared data of a building area through an infrared collecting sensor, and constructing an infrared trigger value according to an infrared data collecting result, wherein the sound collecting sensor, the wide area image collecting sensor and the infrared collecting sensor are all the trigger sensors;
and triggering detection is carried out according to the sound trigger value, the image trigger value and the infrared trigger value.
3. The method of claim 2, wherein the method further comprises:
When the wide area image acquisition sensor is triggered, performing target identification of a wide area image acquisition result;
determining tracking focus coordinates according to a target recognition result, synchronizing the tracking focus coordinates to the detection sensor, and performing position conversion of the tracking focus according to a layout result of the acquisition sensor;
and generating an auxiliary tracking focus according to the position conversion result, and carrying out synchronous acquisition control of the association detection sensor through the auxiliary tracking focus.
4. The method of claim 2, wherein the method further comprises:
obtaining a platform control mode of the building operation and maintenance platform;
the standard trigger value of the trigger sensor is interacted, and the standard trigger value is adjusted according to the platform control mode to generate a response trigger value;
and triggering detection is completed through triggering verification of the response triggering value on the sound triggering value, the image triggering value and the infrared triggering value.
5. The method of claim 1, wherein the method further comprises:
setting a triggered linkage monitoring window;
after the detection sensor is triggered to be started to perform data acquisition, if no newly added feature is identified in the linkage monitoring window, a first closing authentication is generated;
If no new trigger occurs in the linkage monitoring window, generating a second closing authentication;
and closing the detection sensor according to the first closing authentication and the second closing authentication.
6. The method of claim 1, wherein the method further comprises:
setting the period test data of the scene;
performing supervision and management test of the building operation and maintenance platform according to the periodic test data, and generating a test identifier;
and generating linked control compensation data according to the test identifier, and carrying out linked control updating of the acquisition sensor according to the control compensation data.
7. A big data platform management system for building operations, characterized in that it is used to implement the big data platform management method for building operations according to any of claims 1-6, the system comprising:
the building safety level construction module is used for reading building pre-stored data of a target building, and carrying out data analysis according to the building pre-stored data to construct a building area safety level;
the acquisition sensor layout module is used for layout acquisition sensors through the safety level of the building area, wherein the acquisition sensors comprise trigger sensors and detection sensors;
The sensor trigger association module is used for constructing area association according to the area distribution of the building area and generating trigger association of the acquisition sensor according to the area association result and the acquisition sensor layout result;
the detection sensor acquisition module is used for carrying out image acquisition on N time period scenes of the detection sensor, carrying out environment M-level division according to an image acquisition result and generating M-level control parameters;
the trigger sensor acquisition module is used for executing synchronous image acquisition of N time period scenes of the trigger sensor and generating a trigger control parameter set of M-level control parameters according to synchronous acquisition results and trigger association;
the sensor control module is used for starting the trigger sensor and closing the detection sensor when the target building supervision and management is carried out through the building operation and maintenance platform;
the data acquisition early warning module is used for matching the trigger control parameter set according to a real-time acquisition result when the trigger sensor is triggered, sending the matched trigger control parameter to the associated detection sensor, and controlling the associated detection sensor to perform data acquisition early warning of the target building through the matched control parameter.
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