A monitoring method and system for smart buildings

Abstract

The present invention provides a monitoring method and system for a smart building, which relates to the technical field of data processing. In the present invention, an optimized monitoring data analysis network is used to perform a building abnormality analysis operation on the collected current building monitoring image data to output the corresponding building abnormality analysis information; the associated building monitoring image data obtained by each associated building monitoring device is obtained; the optimized monitoring data analysis network is used to perform a building abnormality analysis operation on the associated building monitoring image data obtained by each associated building monitoring device to output the corresponding building abnormality analysis information; based on the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each associated building monitoring image data, a pre-configured target building control operation is performed on the target building area. Based on the above method, the reliability of building monitoring can be improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a monitoring method and system for a smart building. Background Art

[0002] Intelligent Building (IB), also known as smart building or intelligent building, uses building automatic control system (here refers to the so-called small BA system or narrow BA system) and adopts advanced computer control technology, management software and energy-saving system programs to make the mechanical and electrical equipment of the building or the equipment in the building complex operate in an orderly, comprehensive and scientific manner, so as to effectively ensure a comfortable working environment in the building, achieve energy saving, save maintenance and management workload and operating costs.

[0003] Among them, in the realization of smart buildings, an important link is to process monitoring data, such as controlling the building based on the monitoring data. However, in the prior art, there is a problem of poor reliability of building monitoring in the control of buildings. Summary of the invention

[0004] In view of this, an object of the present invention is to provide a monitoring method and system for a smart building to improve the reliability of building monitoring.

[0005] To achieve the above objectives, the embodiments of the present invention adopt the following technical solutions:

[0006] A monitoring method for a smart building, comprising:

[0007] Using the optimized monitoring data analysis network, a building anomaly analysis operation is performed on the collected current building monitoring image data to output building anomaly analysis information corresponding to the current building monitoring image data, wherein the optimized monitoring data analysis network is formed by performing network optimization processing based on at least one collected historical building monitoring image data;

[0008] In the case where the building abnormality analysis information corresponding to the current building monitoring image data conforms to the pre-configured reference building abnormality analysis information, at least one associated building monitoring device other than the target building monitoring device corresponding to the current building monitoring image data is managed and controlled, so that each associated building monitoring device monitors the target building area, and the associated building monitoring image data monitored by each associated building monitoring device is obtained, the current building monitoring image data being formed based on the target building monitoring device monitoring the target building area;

[0009] Using the optimized monitoring data analysis network, a building anomaly analysis operation is performed on each of the associated building monitoring image data monitored by the associated building monitoring device, so as to output building anomaly analysis information corresponding to each of the associated building monitoring image data;

[0010] Based on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each of the associated building monitoring image data, a pre-configured target building control operation is performed on the target building area.

[0011] In some preferred embodiments, in the above-mentioned smart building monitoring method, when the building abnormality analysis information corresponding to the current building monitoring image data meets the pre-configured reference building abnormality analysis information, at least one associated building monitoring device other than the target building monitoring device corresponding to the current building monitoring image data is managed and controlled, so that each associated building monitoring device monitors the target building area, and the steps of obtaining the associated building monitoring image data monitored by each associated building monitoring device include:

[0012] When the abnormality type represented by the building abnormality analysis information corresponding to the current building monitoring image data belongs to the reference abnormality type or the abnormality degree represented is greater than or equal to the reference abnormality degree, determining that the reference building abnormality analysis information that meets the pre-configured requirements is met;

[0013] Among the multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, at least one associated building monitoring device is determined for management and control, so that each associated building monitoring device monitors the target building area and obtains the associated building monitoring image data obtained by each associated building monitoring device.

[0014] In some preferred embodiments, in the above-mentioned smart building monitoring method, the step of determining at least one associated building monitoring device for management and control among multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, so that each associated building monitoring device monitors the target building area, and obtaining the associated building monitoring image data monitored by each associated building monitoring device, includes:

[0015] Collecting device operation data of a target building monitoring device corresponding to the current building monitoring image data to obtain first device operation data;

[0016] For each of the multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, collecting device operation data of the other building monitoring device to obtain second device operation data;

[0017] Performing a key information mining operation on the first device operation data to output a corresponding first key information feature vector, and performing a key information mining operation on each of the second device operation data to output a corresponding second key information feature vector;

[0018] Based on the first mapping matrix, the second mapping matrix and the third mapping matrix formed by the network optimization process in advance, a focusing feature analysis operation is performed on the first key information feature vector to form a corresponding first focused feature vector, and based on the first mapping matrix, the second mapping matrix and the third mapping matrix, a focusing feature analysis operation is performed on each of the second key information feature vectors to form each corresponding second focused feature vector;

[0019] The vector similarity between each of the second focused feature vectors and the first focused feature vector is calculated respectively, and then based on the corresponding vector similarity between each of the second focused feature vectors and the first focused feature vector, at least one associated building monitoring device is determined among the multiple other building monitoring devices for management and control, so that each associated building monitoring device monitors the target building area, and the associated building monitoring image data obtained by each associated building monitoring device is obtained.

[0020] In some preferred embodiments, in the above-mentioned smart building monitoring method, the step of performing a pre-configured target building control operation on the target building area based on the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data includes:

[0021] In the case where the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data conform to the reference building abnormality analysis information, combining the current building monitoring image data and each of the associated building monitoring image data to form a building monitoring image data combination;

[0022] Performing a building abnormality analysis operation on the building monitoring image data combination to output building abnormality analysis information corresponding to the building monitoring image data combination;

[0023] When the building abnormality analysis information corresponding to the building monitoring image data combination conforms to the reference building abnormality analysis information, a pre-configured target building control operation is performed on the target building area, so that an abnormality reminder operation is performed on the target building area.

[0024] In some preferred embodiments, in the above-mentioned smart building monitoring method, the step of performing a pre-configured target building control operation on the target building area based on the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data includes:

[0025] Performing consistency comparison operations on the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data, respectively, to output a consistency comparison result corresponding to each of the associated building monitoring image data;

[0026] When the consistency comparison result reflects that in the building anomaly analysis information corresponding to each of the associated building monitoring image data, there is at least one building anomaly analysis information corresponding to the associated building monitoring image data that is consistent with the building anomaly analysis information corresponding to the current building monitoring image data, a pre-configured target building control operation is performed on the target building area, so that an abnormal reminder operation is performed on the target building area.

[0027] In some preferred embodiments, in the above-mentioned smart building monitoring method, the step of performing a pre-configured target building control operation on the target building area based on the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data includes:

[0028] Performing a distribution instability coefficient determination operation on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each of the associated building monitoring image data to form a corresponding information distribution instability coefficient;

[0029] Comparing the information distribution instability coefficient with a pre-configured reference distribution instability coefficient to form a corresponding comparison result;

[0030] When the size comparison result reflects that the information distribution instability coefficient is less than or equal to the reference distribution instability coefficient, a pre-configured target building management and control operation is performed on the target building area, so that an abnormal reminder operation is performed on the target building area.

[0031] In some preferred embodiments, in the above-mentioned smart building monitoring method, the step of using the optimized monitoring data analysis network to perform a building anomaly analysis operation on the collected current building monitoring image data to output the building anomaly analysis information corresponding to the current building monitoring image data includes:

[0032] Using the monitoring data analysis network, performing a building anomaly analysis operation on at least one historical building monitoring image data collected, so as to output building anomaly analysis information corresponding to each of the historical building monitoring image data;

[0033] For each of the historical building monitoring image data, according to the building abnormality analysis information, an analysis reliability evaluation parameter corresponding to the historical building monitoring image data is analyzed, and the analysis reliability evaluation parameter is used to reflect the reliability of using the monitoring data analysis network to analyze the historical building monitoring image data to output correct building abnormality information;

[0034] Determine, from the at least one historical building monitoring image data, first historical building monitoring image data whose corresponding analysis reliability evaluation parameter meets the target analysis reliability rule, and extract the real building abnormality information corresponding to the first historical building monitoring image data;

[0035] Taking the first historical building monitoring image data as typical data, and taking the real building abnormality information corresponding to the first historical building monitoring image data as the typical data identifier of the typical data, performing network optimization processing on the monitoring data analysis network to form an optimized monitoring data analysis network;

[0036] The optimized monitoring data analysis network is used to perform a building anomaly analysis operation on the collected current building monitoring image data to output building anomaly analysis information corresponding to the current building monitoring image data.

[0037] The embodiment of the present invention further provides a monitoring system for a smart building, comprising:

[0038] A first building anomaly analysis module, configured to use an optimized monitoring data analysis network to perform a building anomaly analysis operation on the collected current building monitoring image data, so as to output building anomaly analysis information corresponding to the current building monitoring image data, wherein the optimized monitoring data analysis network is formed by performing network optimization processing based on at least one collected historical building monitoring image data;

[0039] An associated image data acquisition module is used to control at least one associated building monitoring device other than the target building monitoring device corresponding to the current building monitoring image data, so that each associated building monitoring device monitors the target building area, and acquire associated building monitoring image data obtained by each associated building monitoring device, when the building abnormality analysis information corresponding to the current building monitoring image data conforms to the pre-configured reference building abnormality analysis information, wherein the current building monitoring image data is formed based on the target building monitoring device monitoring the target building area;

[0040] A second building abnormality analysis module is used to use the optimized monitoring data analysis network to perform a building abnormality analysis operation on each of the associated building monitoring image data monitored by the associated building monitoring device, so as to output building abnormality analysis information corresponding to each of the associated building monitoring image data;

[0041] The target building control module is used to perform a pre-configured target building control operation on the target building area based on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each of the associated building monitoring image data.

[0042] In some preferred embodiments, in the monitoring system of the above-mentioned smart building, the associated image data acquisition module is specifically used for:

[0043] When the abnormality type represented by the building abnormality analysis information corresponding to the current building monitoring image data belongs to the reference abnormality type or the abnormality degree represented is greater than or equal to the reference abnormality degree, determining that the reference building abnormality analysis information that meets the pre-configured requirements is met;

[0044] Among the multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, at least one associated building monitoring device is determined for management and control, so that each associated building monitoring device monitors the target building area and obtains the associated building monitoring image data obtained by each associated building monitoring device.

[0045] In some preferred embodiments, in the monitoring system of the above-mentioned smart building, the target building management and control module is specifically used for:

[0046] In the case where the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data conform to the reference building abnormality analysis information, combining the current building monitoring image data and each of the associated building monitoring image data to form a building monitoring image data combination;

[0047] Performing a building abnormality analysis operation on the building monitoring image data combination to output building abnormality analysis information corresponding to the building monitoring image data combination;

[0048] When the building abnormality analysis information corresponding to the building monitoring image data combination conforms to the reference building abnormality analysis information, a pre-configured target building control operation is performed on the target building area, so that an abnormality reminder operation is performed on the target building area.

[0049] The monitoring method and system of a smart building provided by the embodiment of the present invention can use the optimized monitoring data analysis network to perform a building anomaly analysis operation on the collected current building monitoring image data to output the corresponding building anomaly analysis information; obtain the associated building monitoring image data obtained by monitoring each associated building monitoring device; use the optimized monitoring data analysis network to perform a building anomaly analysis operation on the associated building monitoring image data obtained by monitoring each associated building monitoring device to output the corresponding building anomaly analysis information; based on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each associated building monitoring image data, perform a pre-configured target building control operation on the target building area. Based on the above content, since in the process of performing the target building control operation, not only based on the building anomaly analysis information corresponding to the current building monitoring image data, but also based on the building anomaly analysis information corresponding to each associated building monitoring image data, the basis for the target building control operation is more sufficient, thereby improving the reliability of building monitoring, and thus improving the deficiencies of the prior art.

[0050] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 A structural block diagram of the monitoring platform for a smart building provided in an embodiment of the present invention.

[0052] Figure 2 A flowchart of the steps included in the monitoring method of a smart building provided in an embodiment of the present invention.

[0053] Figure 3 A schematic diagram of various modules included in the monitoring system of a smart building provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0055] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] like Figure 1 As shown, an embodiment of the present invention provides a monitoring platform for a smart building, wherein the monitoring platform for a smart building may include a memory and a processor.

[0057] In detail, the memory and the processor are electrically connected directly or indirectly to achieve data transmission or interaction. For example, they can be electrically connected to each other through one or more communication buses or signal lines. The memory can store at least one software function module (computer program) that can exist in the form of software or firmware. The processor can be used to execute the executable computer program stored in the memory, thereby realizing the monitoring method of the smart building provided by the embodiment of the present invention (as described later).

[0058] Optionally, in some embodiments, the memory may be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable read-only memory (EEPROM), etc.

[0059] Optionally, in some embodiments, the processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), a system on chip (SoC), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0060] Optionally, in some implementations, the monitoring platform of the smart building may be a server with data processing capabilities.

[0061] Combination Figure 2 The embodiment of the present invention further provides a monitoring method for a smart building, which can be applied to the monitoring platform of the smart building. The method steps defined in the process related to the monitoring method for the smart building can be implemented by the monitoring platform of the smart building.

[0062] The following will Figure 2 The specific process shown is explained in detail.

[0063] Step S100, using the optimized monitoring data analysis network, performing a building anomaly analysis operation on the collected current building monitoring image data to output building anomaly analysis information corresponding to the current building monitoring image data.

[0064] In an embodiment of the present invention, the monitoring platform of the smart building can use the optimized monitoring data analysis network to perform a building anomaly analysis operation on the collected current building monitoring image data to output the building anomaly analysis information corresponding to the current building monitoring image data. The optimized monitoring data analysis network is formed by performing network optimization processing based on at least one historical building monitoring image data collected.

[0065] Step S200, when the building abnormality analysis information corresponding to the current building monitoring image data conforms to the pre-configured reference building abnormality analysis information, at least one associated building monitoring device other than the target building monitoring device corresponding to the current building monitoring image data is managed and controlled, so that each associated building monitoring device monitors the target building area, and obtains the associated building monitoring image data obtained by each associated building monitoring device.

[0066] In an embodiment of the present invention, the monitoring platform of the smart building can manage and control at least one associated building monitoring device other than the target building monitoring device corresponding to the current building monitoring image data when the building abnormality analysis information corresponding to the current building monitoring image data meets the pre-configured reference building abnormality analysis information, so that each associated building monitoring device monitors the target building area, and obtains the associated building monitoring image data monitored by each associated building monitoring device. The current building monitoring image data is formed based on the target building monitoring device monitoring the target building area.

[0067] Step S300, using the optimized monitoring data analysis network, performing a building anomaly analysis operation on each of the associated building monitoring image data monitored by the associated building monitoring device, so as to output building anomaly analysis information corresponding to each of the associated building monitoring image data.

[0068] In an embodiment of the present invention, the monitoring platform of the smart building can utilize the optimized monitoring data analysis network to perform building anomaly analysis operations on each of the associated building monitoring image data obtained by monitoring the associated building monitoring equipment, so as to output building anomaly analysis information corresponding to each of the associated building monitoring image data.

[0069] Step S400: Based on the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data, a pre-configured target building control operation is performed on the target building area.

[0070] In an embodiment of the present invention, the monitoring platform of the smart building can perform pre-configured target building management and control operations on the target building area based on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each of the associated building monitoring image data.

[0071] Based on the above content, in the process of performing target building control operations, not only the building abnormality analysis information corresponding to the current building monitoring image data is used, but also the building abnormality analysis information corresponding to each related building monitoring image data can be combined, so that the basis for the target building control operation is more sufficient, thereby improving the reliability of building monitoring and improving the shortcomings of the existing technology.

[0072] Optionally, in some embodiments, the step of using the optimized monitoring data analysis network to perform a building anomaly analysis operation on the collected current building monitoring image data to output the building anomaly analysis information corresponding to the current building monitoring image data may include the following contents, such as step S110, step S120, step S130, step S140 and step S150.

[0073] Step S110, using the monitoring data analysis network, performing a building anomaly analysis operation on at least one historical building monitoring image data collected, so as to output building anomaly analysis information corresponding to each of the historical building monitoring image data.

[0074] In an embodiment of the present invention, the monitoring platform of the smart building can utilize a monitoring data analysis network to perform a building anomaly analysis operation on at least one historical building monitoring image data collected, so as to output building anomaly analysis information corresponding to each historical building monitoring image data. The building anomaly analysis information can be used to reflect the type or degree of anomaly, etc. In addition, the monitoring data analysis network can refer to an initial neural network or a neural network that has undergone network optimization processing, and no specific limitation is made here.

[0075] Step S120: for each of the historical building monitoring image data, according to the building abnormality analysis information, analyzing the analysis reliability evaluation parameters corresponding to the historical building monitoring image data.

[0076] In an embodiment of the present invention, the monitoring platform of the smart building can analyze the analysis reliability evaluation parameters corresponding to each of the historical building monitoring image data according to the building abnormality analysis information. The analysis reliability evaluation parameters are used to reflect the reliability of using the monitoring data analysis network to analyze the historical building monitoring image data to output correct building abnormality information, which can also be understood as the complexity.

[0077] Step S130, determining the first historical building monitoring image data whose corresponding analysis reliability evaluation parameters meet the target analysis reliability rules from the at least one historical building monitoring image data, and extracting the real building abnormality information corresponding to the first historical building monitoring image data.

[0078] In an embodiment of the present invention, the monitoring platform of the smart building can determine the first historical building monitoring image data whose corresponding analysis reliability evaluation parameters meet the target analysis reliability rules from the at least one historical building monitoring image data, and extract the real information of the building abnormality corresponding to the first historical building monitoring image data. For example, each historical building monitoring image data whose corresponding analysis reliability evaluation parameters are greater than or equal to the reference reliability evaluation parameters can be used as the first historical building monitoring image data.

[0079] Step S140, taking the first historical building monitoring image data as typical data, and taking the real building abnormality information corresponding to the first historical building monitoring image data as the typical data identifier of the typical data, and performing network optimization processing on the monitoring data analysis network to form an optimized monitoring data analysis network.

[0080] In an embodiment of the present invention, the monitoring platform of the smart building can use the first historical building monitoring image data as typical data, and use the real building abnormality information corresponding to the first historical building monitoring image data as the typical data identifier of the typical data, and perform network optimization processing on the monitoring data analysis network to form an optimized monitoring data analysis network corresponding to the monitoring data analysis network.

[0081] Step S150, using the optimized monitoring data analysis network, performing a building anomaly analysis operation on the collected current building monitoring image data to output building anomaly analysis information corresponding to the current building monitoring image data.

[0082] In an embodiment of the present invention, the monitoring platform of the smart building can utilize the optimized monitoring data analysis network to perform a building anomaly analysis operation on the collected current building monitoring image data (i.e., the currently collected building monitoring image data) to output the building anomaly analysis information corresponding to the current building monitoring image data.

[0083] Based on the above content, since the historical building monitoring image data will be screened based on the corresponding analysis reliability evaluation parameters before the network optimization process is performed, the basis for the network optimization process (i.e., the first historical building monitoring image data) can be more reliable, and therefore, the accuracy of the optimized monitoring data analysis network can be improved, thereby improving the reliability of the building abnormality analysis, and thus improving the problem of poor reliability in the prior art. In addition, by screening out a portion of the first historical building monitoring image data, the amount of real building abnormality information that needs to be obtained can be reduced, thereby reducing the cost of obtaining real building abnormality information.

[0084] Optionally, in some embodiments, the step of using the monitoring data analysis network to perform a building anomaly analysis operation on at least one historical building monitoring image data collected to output building anomaly analysis information corresponding to each historical building monitoring image data may include the following:

[0085] Determining the acquisition time information of each of the historical building monitoring image data;

[0086] Based on the acquisition time information, loading the at least one historical building monitoring image data in stages to load it into the monitoring data analysis network;

[0087] Utilizing the monitoring data analysis network, the historical building monitoring image data of each stage are subjected to building anomaly analysis operations (such as feature mining and incentive mapping output processing) to output building anomaly analysis information corresponding to each of the historical building monitoring image data. The historical building monitoring image data of each stage includes a preset number of historical building monitoring image data.

[0088] Optionally, in some implementations, the monitoring data analysis network includes a plurality of monitoring data analysis sub-networks, and the step of using the monitoring data analysis network to perform building anomaly analysis operations on the historical building monitoring image data of each stage to output building anomaly analysis information corresponding to each of the historical building monitoring image data may include the following:

[0089] For each of the historical building monitoring image data:

[0090] Using each of the monitoring data analysis subnetworks, respectively perform building anomaly analysis operations on the historical building monitoring image data to output the to-be-processed building anomaly analysis information corresponding to each of the monitoring data analysis subnetworks;

[0091] For each of the monitoring data analysis subnetworks, determine the analysis authenticity evaluation parameters corresponding to the monitoring data analysis subnetwork, and mark the analysis authenticity evaluation parameters to be marked as importance characterization parameters corresponding to the monitoring data analysis subnetwork, the analysis authenticity evaluation parameters are used to reflect the authenticity of the to-be-processed building anomaly analysis information of the monitoring data analysis subnetwork, and can be determined by the matching degree between the detection building anomaly analysis information corresponding to some corresponding typical data and the detection typical data identifier;

[0092] According to the importance characterization parameters corresponding to each of the monitoring data analysis subnetworks, the building anomaly analysis information to be processed corresponding to the multiple monitoring data analysis subnetworks are fused to output the building anomaly analysis information corresponding to the historical building monitoring image data. That is to say, the building anomaly analysis information to be processed can be weighted summed based on the importance characterization parameters to obtain the building anomaly analysis information corresponding to the historical building monitoring image data.

[0093] Optionally, in some embodiments, the monitoring data analysis network is used to perform analysis and evaluation in at least two abnormality categories (the abnormality categories may also refer to different abnormality degrees), the building abnormality analysis information includes a matching possibility characterization parameter between the historical building monitoring image data and each of the abnormality categories, and the step of analyzing the analysis reliability evaluation parameter corresponding to the historical building monitoring image data according to the building abnormality analysis information for each of the historical building monitoring image data may include the following:

[0094] According to the matching possibility characterization parameters of the historical building monitoring image data and each of the abnormal types, the parameter distribution instability coefficient corresponding to the historical building monitoring image data is analyzed (for example, a logarithm operation can be performed on each of the matching possibility characterization parameters, and then the result can be multiplied by the matching possibility characterization parameter, and finally, the product calculation results corresponding to each of the matching possibility characterization parameters can be superimposed to obtain a value negatively correlated with the parameter distribution instability coefficient, thereby determining the parameter distribution instability coefficient);

[0095] The parameter distribution instability coefficient is marked to be marked as an analysis reliability evaluation parameter corresponding to the historical building monitoring image data.

[0096] Optionally, in some implementations, the step of taking the first historical building monitoring image data as typical data, taking the real building abnormality information corresponding to the first historical building monitoring image data as the typical data identifier of the typical data, and performing network optimization processing on the monitoring data analysis network to form an optimized monitoring data analysis network may include the following:

[0097] Filtering out target historical building monitoring image data from the first historical building monitoring image data, wherein the building abnormality analysis information of the target historical building monitoring image data is inconsistent with the building abnormality real information of the target historical building monitoring image data;

[0098] Performing an enhancement operation on the target historical building monitoring image data to output corresponding enhanced building monitoring image data (such as performing invalid data screening on the enhanced building monitoring image data, for example, when performing behavioral safety anomaly analysis, background images can be screened out, etc.), and marking the building abnormality real information corresponding to the target historical building monitoring image data to mark it as the building abnormality real information corresponding to the enhanced building monitoring image data;

[0099] The first historical building monitoring image data and the enhanced building monitoring image data are taken as typical data, and the real building abnormality information corresponding to the first historical building monitoring image data and the real building abnormality information corresponding to the enhanced building monitoring image data are taken as typical data identifiers corresponding to the typical data, so as to perform network optimization processing on the monitoring data analysis network to form an optimized monitoring data analysis network.

[0100] Optionally, in some implementations, the step of taking the first historical building monitoring image data as typical data, taking the real building abnormality information corresponding to the first historical building monitoring image data as the typical data identifier of the typical data, and performing network optimization processing on the monitoring data analysis network to form an optimized monitoring data analysis network may include the following:

[0101] Extracting supervised typical image data and unsupervised typical image data, wherein the supervised typical image data has a corresponding typical data identifier (so that monitoring optimization can be performed), and the unsupervised typical image data does not have a corresponding typical data identifier;

[0102] The first historical building monitoring image data is used as typical data, and the real building abnormality information corresponding to the first historical building monitoring image data is used as a typical data identifier corresponding to the typical data, and then the monitoring data analysis network is subjected to network optimization processing together with the supervisory typical image data to form a candidate monitoring data analysis network corresponding to the monitoring data analysis network;

[0103] The candidate monitoring data analysis network is subjected to a preset batch of network optimization processing using the unsupervised typical image data to form an optimized monitoring data analysis network.

[0104] Optionally, in some embodiments, the preset batch is equal to A, and the step of using the unsupervised typical image data to perform network optimization processing on the candidate monitoring data analysis network for the preset batch to form an optimized monitoring data analysis network includes the following:

[0105] For the first network optimization process among the A network optimization processes, using the candidate monitoring data analysis network, performing a building anomaly analysis operation on the unsupervised typical image data to output corresponding first building anomaly analysis information, and marking the first building anomaly analysis information to mark it as a first typical data identifier corresponding to the unsupervised typical image data;

[0106] According to the unsupervised typical image data having the first typical data identifier, performing a network optimization process on the candidate monitoring data analysis network to form a first monitoring data analysis network corresponding to the first network optimization process among the A network optimization processes;

[0107] For the ath network optimization process among the A network optimization processes, using the first monitoring data analysis network corresponding to the bth network optimization process, the unsupervised typical image data is subjected to a building anomaly analysis operation to output corresponding second building anomaly analysis information, and the second building anomaly analysis information is subjected to a marking process to be marked as a second typical data identifier corresponding to the unsupervised typical image data;

[0108] Based on the unsupervised typical image data having the second typical data identifier, the first monitoring data analysis network corresponding to the b-th network optimization processing is subjected to network optimization processing to form the first monitoring data analysis network corresponding to the b-th network optimization processing in the A network optimization processings to form an optimized monitoring data analysis network, ab=1.

[0109] Among them, it can be selected that, in some embodiments, after the step of taking the first historical building monitoring image data as typical data and taking the real building abnormality information corresponding to the first historical building monitoring image data as the typical data identifier of the typical data, and performing network optimization processing on the monitoring data analysis network to form an optimized monitoring data analysis network, the monitoring method of the smart building may also include the following contents:

[0110] Extracting typical image data for detection, wherein the typical image data for detection has a typical data identification for detection;

[0111] Using the optimized monitoring data analysis network, the typical image data for detection is subjected to a building anomaly analysis operation to output corresponding building anomaly analysis information for detection;

[0112] According to the building anomaly analysis information for detection and the typical data identification for detection, the analysis authenticity evaluation parameter corresponding to the optimized monitoring data analysis network is analyzed, the closer the building anomaly analysis information for detection and the typical data identification for detection are, the higher the analysis authenticity evaluation parameter is, and the more the building anomaly analysis information for detection and the typical data identification for detection are deviated, the lower the analysis authenticity evaluation parameter is;

[0113] When the analysis authenticity evaluation parameter is greater than or equal to the pre-configured reference authenticity evaluation parameter, the optimized monitoring data analysis network is marked as the final optimized monitoring data analysis network. The specific value of the reference authenticity evaluation parameter is not restricted and can be configured according to actual needs.

[0114] Optionally, in some implementations, when the building abnormality analysis information corresponding to the current building monitoring image data conforms to the pre-configured reference building abnormality analysis information, at least one associated building monitoring device other than the target building monitoring device corresponding to the current building monitoring image data is managed and controlled so that each associated building monitoring device monitors the target building area, and the step of obtaining the associated building monitoring image data monitored by each associated building monitoring device may include the following:

[0115] When the abnormality type represented by the building abnormality analysis information corresponding to the current building monitoring image data belongs to the reference abnormality type or the abnormality degree represented is greater than or equal to the reference abnormality degree, determining that the reference building abnormality analysis information that meets the pre-configured requirements is met;

[0116] Among the multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, at least one associated building monitoring device is determined for management and control, so that each associated building monitoring device monitors the target building area and obtains the associated building monitoring image data obtained by each associated building monitoring device.

[0117] Optionally, in some implementations, the step of determining at least one associated building monitoring device for management and control among a plurality of other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, so that each associated building monitoring device monitors the target building area, and obtaining the associated building monitoring image data monitored by each associated building monitoring device, may include the following:

[0118] Collecting device operation data of the target building monitoring device corresponding to the current building monitoring image data to obtain first device operation data (such as an operation log);

[0119] For each of the multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, collecting device operation data of the other building monitoring device to obtain second device operation data;

[0120] Performing a key information mining operation (i.e., feature mining) on ​​the first device operation data to output a corresponding first key information feature vector, and performing a key information mining operation on each of the second device operation data to output a corresponding second key information feature vector;

[0121] Based on the first mapping matrix, the second mapping matrix and the third mapping matrix formed by the network optimization processing in advance, the first key information feature vector is subjected to a focusing feature analysis operation to form a corresponding first focusing feature vector (for example, the first mapping matrix and the first key information feature vector may be multiplied to form a first mapping feature vector, the second mapping matrix and the first key information feature vector may be multiplied to form a second mapping feature vector, the third mapping matrix and the first key information feature vector may be multiplied to form a third mapping feature vector, and then the transposed vector of the second mapping feature vector may be multiplied with the first mapping feature vector, and then the normalized result of the multiplication result may be multiplied with the third mapping feature vector to obtain the first focusing feature vector), and based on the first mapping matrix, the second mapping matrix and the third mapping matrix, each of the second key information feature vectors is subjected to a focusing feature analysis operation to form each corresponding second focusing feature vector (as described above);

[0122] The vector similarity (such as cosine similarity) between each of the second focused feature vectors and the first focused feature vector is calculated respectively, and then based on the corresponding vector similarity between each of the second focused feature vectors and the first focused feature vector, at least one associated building monitoring device is determined among the multiple other building monitoring devices for management and control (such as determining multiple other building monitoring devices other than the one with the largest vector similarity or a specified number), so that each associated building monitoring device monitors the target building area, and obtains the associated building monitoring image data obtained by each associated building monitoring device (the monitoring angles of each building monitoring device may be inconsistent, and the specific monitoring angles can be configured according to actual needs).

[0123] Optionally, in some embodiments, the step of performing a pre-configured target building control operation on the target building area based on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each of the associated building monitoring image data may include the following:

[0124] In the case where the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data conform to the reference building abnormality analysis information, the current building monitoring image data and each of the associated building monitoring image data are combined to form a building monitoring image data combination (e.g., multiple building monitoring image data are spliced ​​to form a large building monitoring image data);

[0125] Performing a building abnormality analysis operation on the building monitoring image data combination to output building abnormality analysis information corresponding to the building monitoring image data combination;

[0126] When the building abnormality analysis information corresponding to the building monitoring image data combination conforms to the reference building abnormality analysis information, a pre-configured target building control operation is performed on the target building area, so that an abnormality reminder operation is performed on the target building area.

[0127] Optionally, in some embodiments, the step of performing a pre-configured target building control operation on the target building area based on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each of the associated building monitoring image data may include the following:

[0128] Respectively performing consistency comparison operations on the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data, so as to output a consistency comparison result corresponding to each of the associated building monitoring image data;

[0129] When the consistency comparison result reflects that in the building anomaly analysis information corresponding to each of the associated building monitoring image data, there is at least one building anomaly analysis information corresponding to the associated building monitoring image data that is consistent with the building anomaly analysis information corresponding to the current building monitoring image data, a pre-configured target building control operation is performed on the target building area, so that an abnormal reminder operation is performed on the target building area.

[0130] Optionally, in some embodiments, the step of performing a pre-configured target building control operation on the target building area based on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each of the associated building monitoring image data may include the following:

[0131] Performing a distribution instability coefficient determination operation on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each of the associated building monitoring image data to form a corresponding information distribution instability coefficient;

[0132] Comparing the information distribution instability coefficient with a pre-configured reference distribution instability coefficient to form a corresponding comparison result;

[0133] When the size comparison result reflects that the information distribution instability coefficient is less than or equal to the reference distribution instability coefficient, a pre-configured target building management and control operation is performed on the target building area, so that an abnormal reminder operation is performed on the target building area.

[0134] Combination Figure 3 The embodiment of the present invention further provides a monitoring system for a smart building, which can be applied to the monitoring platform of the smart building. The monitoring system for the smart building may include:

[0135] A first building anomaly analysis module, configured to use an optimized monitoring data analysis network to perform a building anomaly analysis operation on the collected current building monitoring image data, so as to output building anomaly analysis information corresponding to the current building monitoring image data, wherein the optimized monitoring data analysis network is formed by performing network optimization processing based on at least one collected historical building monitoring image data;

[0136] An associated image data acquisition module is used to control at least one associated building monitoring device other than the target building monitoring device corresponding to the current building monitoring image data, so that each associated building monitoring device monitors the target building area, and acquire associated building monitoring image data obtained by each associated building monitoring device, when the building abnormality analysis information corresponding to the current building monitoring image data conforms to the pre-configured reference building abnormality analysis information, wherein the current building monitoring image data is formed based on the target building monitoring device monitoring the target building area;

[0137] A second building abnormality analysis module is used to use the optimized monitoring data analysis network to perform a building abnormality analysis operation on each of the associated building monitoring image data monitored by the associated building monitoring device, so as to output building abnormality analysis information corresponding to each of the associated building monitoring image data;

[0138] The target building control module is used to perform a pre-configured target building control operation on the target building area based on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each of the associated building monitoring image data.

[0139] Optionally, in some implementations, the associated image data acquisition module is specifically used to:

[0140] When the abnormality type represented by the building abnormality analysis information corresponding to the current building monitoring image data belongs to the reference abnormality type or the abnormality degree represented is greater than or equal to the reference abnormality degree, determining that the reference building abnormality analysis information that meets the pre-configured requirements is met;

[0141] Among the multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, at least one associated building monitoring device is determined for management and control, so that each associated building monitoring device monitors the target building area and obtains the associated building monitoring image data obtained by each associated building monitoring device.

[0142] Optionally, in some implementations, the target building management and control module is specifically used to:

[0143] In the case where the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data conform to the reference building abnormality analysis information, combining the current building monitoring image data and each of the associated building monitoring image data to form a building monitoring image data combination;

[0144] Performing a building abnormality analysis operation on the building monitoring image data combination to output building abnormality analysis information corresponding to the building monitoring image data combination;

[0145] When the building abnormality analysis information corresponding to the building monitoring image data combination conforms to the reference building abnormality analysis information, a pre-configured target building control operation is performed on the target building area, so that an abnormality reminder operation is performed on the target building area.

[0146] In summary, the monitoring method and system of a smart building provided by the present invention can utilize the optimized monitoring data analysis network to perform a building anomaly analysis operation on the collected current building monitoring image data to output the corresponding building anomaly analysis information; obtain the associated building monitoring image data obtained by monitoring each associated building monitoring device; utilize the optimized monitoring data analysis network to perform a building anomaly analysis operation on the associated building monitoring image data obtained by monitoring each associated building monitoring device to output the corresponding building anomaly analysis information; based on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each associated building monitoring image data, perform a pre-configured target building control operation on the target building area. Based on the above content, since in the process of performing the target building control operation, not only based on the building anomaly analysis information corresponding to the current building monitoring image data, but also based on the building anomaly analysis information corresponding to each associated building monitoring image data, the basis for the target building control operation is more sufficient, thereby improving the reliability of building monitoring, and thus improving the deficiencies of the prior art.

[0147] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A monitoring method for a smart building, characterized in that: include: Using the optimized monitoring data analysis network, a building anomaly analysis operation is performed on the collected current building monitoring image data to output building anomaly analysis information corresponding to the current building monitoring image data, wherein the optimized monitoring data analysis network is formed by performing network optimization processing based on at least one collected historical building monitoring image data; In the case where the building abnormality analysis information corresponding to the current building monitoring image data conforms to the pre-configured reference building abnormality analysis information, at least one associated building monitoring device other than the target building monitoring device corresponding to the current building monitoring image data is managed and controlled, so that each associated building monitoring device monitors the target building area, and the associated building monitoring image data monitored by each associated building monitoring device is obtained, the current building monitoring image data being formed based on the target building monitoring device monitoring the target building area; Using the optimized monitoring data analysis network, a building anomaly analysis operation is performed on each of the associated building monitoring image data monitored by the associated building monitoring device, so as to output building anomaly analysis information corresponding to each of the associated building monitoring image data; Based on the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data, performing a pre-configured target building control operation on the target building area; The step of using the optimized monitoring data analysis network to perform a building anomaly analysis operation on the collected current building monitoring image data to output building anomaly analysis information corresponding to the current building monitoring image data includes: Using the monitoring data analysis network, performing a building anomaly analysis operation on at least one historical building monitoring image data collected, so as to output building anomaly analysis information corresponding to each of the historical building monitoring image data; For each of the historical building monitoring image data, according to the building abnormality analysis information, an analysis reliability evaluation parameter corresponding to the historical building monitoring image data is analyzed, and the analysis reliability evaluation parameter is used to reflect the reliability of using the monitoring data analysis network to analyze the historical building monitoring image data to output correct building abnormality information; Determine, from the at least one historical building monitoring image data, first historical building monitoring image data whose corresponding analysis reliability evaluation parameter meets the target analysis reliability rule, and extract the real building abnormality information corresponding to the first historical building monitoring image data; Taking the first historical building monitoring image data as typical data, and taking the real building abnormality information corresponding to the first historical building monitoring image data as the typical data identifier of the typical data, performing network optimization processing on the monitoring data analysis network to form an optimized monitoring data analysis network; Using the optimized monitoring data analysis network, a building anomaly analysis operation is performed on the collected current building monitoring image data to output building anomaly analysis information corresponding to the current building monitoring image data; The step of using the monitoring data analysis network to perform a building anomaly analysis operation on at least one historical building monitoring image data collected to output building anomaly analysis information corresponding to each historical building monitoring image data includes: Determining the acquisition time information of each of the historical building monitoring image data; Based on the acquisition time information, loading the at least one historical building monitoring image data in stages to load it into the monitoring data analysis network; Using the monitoring data analysis network, respectively perform building anomaly analysis operations on the historical building monitoring image data of each stage to output building anomaly analysis information corresponding to each of the historical building monitoring image data, wherein the historical building monitoring image data of each stage includes a preset number of historical building monitoring image data; The monitoring data analysis network includes a plurality of monitoring data analysis sub-networks, and the step of using the monitoring data analysis network to respectively perform building anomaly analysis operations on the historical building monitoring image data of each stage to output building anomaly analysis information corresponding to each of the historical building monitoring image data includes: For each of the historical building monitoring image data: Using each of the monitoring data analysis subnetworks, respectively perform building anomaly analysis operations on the historical building monitoring image data to output the to-be-processed building anomaly analysis information corresponding to each of the monitoring data analysis subnetworks; For each of the monitoring data analysis subnetworks, determining the analysis authenticity evaluation parameters corresponding to the monitoring data analysis subnetwork, and marking the analysis authenticity evaluation parameters to be marked as importance characterization parameters corresponding to the monitoring data analysis subnetwork, wherein the analysis authenticity evaluation parameters are used to reflect the authenticity of the to-be-processed building anomaly analysis information of the monitoring data analysis subnetwork, and are determined by the matching degree between the detection building anomaly analysis information corresponding to some corresponding typical data and the detection typical data identifier; According to the importance characterization parameter corresponding to each of the monitoring data analysis subnetworks, the to-be-processed building abnormality analysis information corresponding to the multiple monitoring data analysis subnetworks are merged to output the building abnormality analysis information corresponding to the historical building monitoring image data; Among them, when the building abnormality analysis information corresponding to the current building monitoring image data conforms to the pre-configured reference building abnormality analysis information, at least one associated building monitoring device other than the target building monitoring device corresponding to the current building monitoring image data is managed and controlled so that each associated building monitoring device monitors the target building area, and the steps of obtaining the associated building monitoring image data monitored by each associated building monitoring device include: When the abnormality type represented by the building abnormality analysis information corresponding to the current building monitoring image data belongs to the reference abnormality type or the abnormality degree represented is greater than or equal to the reference abnormality degree, determining that the reference building abnormality analysis information that meets the pre-configured requirements is met; Among the multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, at least one associated building monitoring device is determined for management and control, so that each associated building monitoring device monitors the target building area, and the associated building monitoring image data monitored by each associated building monitoring device is obtained; Among them, the step of determining at least one associated building monitoring device for management and control among multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, so that each associated building monitoring device monitors the target building area, and obtaining the associated building monitoring image data monitored by each associated building monitoring device, includes: Collecting device operation data of a target building monitoring device corresponding to the current building monitoring image data to obtain first device operation data; For each of the multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, collecting device operation data of the other building monitoring device to obtain second device operation data; Performing a key information mining operation on the first device operation data to output a corresponding first key information feature vector, and performing a key information mining operation on each of the second device operation data to output a corresponding second key information feature vector; Based on the first mapping matrix, the second mapping matrix and the third mapping matrix formed by the network optimization process in advance, a focusing feature analysis operation is performed on the first key information feature vector to form a corresponding first focused feature vector, and based on the first mapping matrix, the second mapping matrix and the third mapping matrix, a focusing feature analysis operation is performed on each of the second key information feature vectors to form each corresponding second focused feature vector; The vector similarity between each of the second focused feature vectors and the first focused feature vector is calculated respectively, and then based on the corresponding vector similarity between each of the second focused feature vectors and the first focused feature vector, at least one associated building monitoring device is determined among the multiple other building monitoring devices for management and control, so that each associated building monitoring device monitors the target building area, and the associated building monitoring image data obtained by each associated building monitoring device is obtained.

2. The monitoring method of a smart building as claimed in claim 1, characterized in that: The step of performing a pre-configured target building control operation on the target building area based on the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data comprises: In the case where the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data conform to the reference building abnormality analysis information, combining the current building monitoring image data and each of the associated building monitoring image data to form a building monitoring image data combination; Performing a building abnormality analysis operation on the building monitoring image data combination to output building abnormality analysis information corresponding to the building monitoring image data combination; When the building abnormality analysis information corresponding to the building monitoring image data combination conforms to the reference building abnormality analysis information, a pre-configured target building control operation is performed on the target building area, so that an abnormality reminder operation is performed on the target building area.

3. The monitoring method of a smart building as claimed in claim 1, characterized in that: The step of performing a pre-configured target building control operation on the target building area based on the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data comprises: Respectively performing consistency comparison operations on the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data, so as to output a consistency comparison result corresponding to each of the associated building monitoring image data; When the consistency comparison result reflects that in the building anomaly analysis information corresponding to each of the associated building monitoring image data, there is at least one building anomaly analysis information corresponding to the associated building monitoring image data that is consistent with the building anomaly analysis information corresponding to the current building monitoring image data, a pre-configured target building control operation is performed on the target building area, so that an abnormal reminder operation is performed on the target building area.

4. The monitoring method of a smart building as claimed in claim 1, characterized in that: The step of performing a pre-configured target building control operation on the target building area based on the building abnormality analysis information corresponding to the current building monitoring image data and the building abnormality analysis information corresponding to each of the associated building monitoring image data comprises: Performing a distribution instability coefficient determination operation on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each of the associated building monitoring image data to form a corresponding information distribution instability coefficient; Comparing the information distribution instability coefficient with a pre-configured reference distribution instability coefficient to form a corresponding comparison result; When the size comparison result reflects that the information distribution instability coefficient is less than or equal to the reference distribution instability coefficient, a pre-configured target building management and control operation is performed on the target building area, so that an abnormal reminder operation is performed on the target building area.

5. A monitoring system for a smart building, characterized in that: include: A first building anomaly analysis module, configured to use an optimized monitoring data analysis network to perform a building anomaly analysis operation on the collected current building monitoring image data, so as to output building anomaly analysis information corresponding to the current building monitoring image data, wherein the optimized monitoring data analysis network is formed by performing network optimization processing based on at least one collected historical building monitoring image data; An associated image data acquisition module is used to control at least one associated building monitoring device other than the target building monitoring device corresponding to the current building monitoring image data, so that each associated building monitoring device monitors the target building area, and acquire the associated building monitoring image data obtained by each associated building monitoring device, when the building abnormality analysis information corresponding to the current building monitoring image data conforms to the pre-configured reference building abnormality analysis information, wherein the current building monitoring image data is formed based on the target building monitoring device monitoring the target building area; A second building abnormality analysis module is used to use the optimized monitoring data analysis network to perform a building abnormality analysis operation on each of the associated building monitoring image data monitored by the associated building monitoring device, so as to output building abnormality analysis information corresponding to each of the associated building monitoring image data; A target building control module, configured to perform a pre-configured target building control operation on the target building area based on the building anomaly analysis information corresponding to the current building monitoring image data and the building anomaly analysis information corresponding to each of the associated building monitoring image data; The method of using the optimized monitoring data analysis network to perform a building anomaly analysis operation on the collected current building monitoring image data to output building anomaly analysis information corresponding to the current building monitoring image data includes: Using the monitoring data analysis network, performing a building anomaly analysis operation on at least one historical building monitoring image data collected, so as to output building anomaly analysis information corresponding to each of the historical building monitoring image data; For each of the historical building monitoring image data, according to the building abnormality analysis information, an analysis reliability evaluation parameter corresponding to the historical building monitoring image data is analyzed, and the analysis reliability evaluation parameter is used to reflect the reliability of using the monitoring data analysis network to analyze the historical building monitoring image data to output correct building abnormality information; Determine, from the at least one historical building monitoring image data, first historical building monitoring image data whose corresponding analysis reliability evaluation parameter meets the target analysis reliability rule, and extract the real building abnormality information corresponding to the first historical building monitoring image data; Taking the first historical building monitoring image data as typical data, and taking the real building abnormality information corresponding to the first historical building monitoring image data as the typical data identifier of the typical data, performing network optimization processing on the monitoring data analysis network to form an optimized monitoring data analysis network; Using the optimized monitoring data analysis network, a building anomaly analysis operation is performed on the collected current building monitoring image data to output building anomaly analysis information corresponding to the current building monitoring image data; The method of using the monitoring data analysis network to perform a building anomaly analysis operation on at least one historical building monitoring image data collected to output building anomaly analysis information corresponding to each historical building monitoring image data includes: Determining the acquisition time information of each of the historical building monitoring image data; Based on the acquisition time information, loading the at least one historical building monitoring image data in stages to load it into the monitoring data analysis network; Using the monitoring data analysis network, respectively perform building anomaly analysis operations on the historical building monitoring image data of each stage to output building anomaly analysis information corresponding to each of the historical building monitoring image data, wherein the historical building monitoring image data of each stage includes a preset number of historical building monitoring image data; The monitoring data analysis network includes a plurality of monitoring data analysis sub-networks. The monitoring data analysis network is used to perform building anomaly analysis operations on the historical building monitoring image data of each stage to output building anomaly analysis information corresponding to each of the historical building monitoring image data, including: For each of the historical building monitoring image data: Using each of the monitoring data analysis subnetworks, respectively perform building anomaly analysis operations on the historical building monitoring image data to output the to-be-processed building anomaly analysis information corresponding to each of the monitoring data analysis subnetworks; For each of the monitoring data analysis subnetworks, determining the analysis authenticity evaluation parameters corresponding to the monitoring data analysis subnetwork, and marking the analysis authenticity evaluation parameters to be marked as importance characterization parameters corresponding to the monitoring data analysis subnetwork, wherein the analysis authenticity evaluation parameters are used to reflect the authenticity of the to-be-processed building anomaly analysis information of the monitoring data analysis subnetwork, and are determined by the matching degree between the detection building anomaly analysis information corresponding to some corresponding typical data and the detection typical data identifier; According to the importance characterization parameter corresponding to each of the monitoring data analysis subnetworks, the to-be-processed building abnormality analysis information corresponding to the multiple monitoring data analysis subnetworks are merged to output the building abnormality analysis information corresponding to the historical building monitoring image data; Wherein, when the building abnormality analysis information corresponding to the current building monitoring image data conforms to the pre-configured reference building abnormality analysis information, at least one associated building monitoring device other than the target building monitoring device corresponding to the current building monitoring image data is managed and controlled, so that each associated building monitoring device monitors the target building area, and the associated building monitoring image data monitored by each associated building monitoring device is obtained, including: When the abnormality type represented by the building abnormality analysis information corresponding to the current building monitoring image data belongs to the reference abnormality type or the abnormality degree represented is greater than or equal to the reference abnormality degree, determining that the reference building abnormality analysis information that meets the pre-configured requirements is met; Among the multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, at least one associated building monitoring device is determined for management and control, so that each associated building monitoring device monitors the target building area, and the associated building monitoring image data monitored by each associated building monitoring device is obtained; Among them, the method of determining at least one associated building monitoring device for management and control among multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, so that each associated building monitoring device monitors the target building area, and obtaining the associated building monitoring image data monitored by each associated building monitoring device, includes: Collecting device operation data of a target building monitoring device corresponding to the current building monitoring image data to obtain first device operation data; For each of the multiple other building monitoring devices configured in the target building area corresponding to the target building monitoring device corresponding to the current building monitoring image data, collecting device operation data of the other building monitoring device to obtain second device operation data; Performing a key information mining operation on the first device operation data to output a corresponding first key information feature vector, and performing a key information mining operation on each of the second device operation data to output a corresponding second key information feature vector; Based on the first mapping matrix, the second mapping matrix and the third mapping matrix formed by the network optimization process in advance, a focusing feature analysis operation is performed on the first key information feature vector to form a corresponding first focused feature vector, and based on the first mapping matrix, the second mapping matrix and the third mapping matrix, a focusing feature analysis operation is performed on each of the second key information feature vectors to form each corresponding second focused feature vector; The vector similarity between each of the second focused feature vectors and the first focused feature vector is calculated respectively, and then based on the corresponding vector similarity between each of the second focused feature vectors and the first focused feature vector, at least one associated building monitoring device is determined among the multiple other building monitoring devices for management and control, so that each associated building monitoring device monitors the target building area, and the associated building monitoring image data obtained by each associated building monitoring device is obtained.

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