Building exterior facing safety risk digital monitoring system and method

Abstract

The invention provides a building exterior facing safety risk digital monitoring system and method, and the system comprises an integrated sensor which collects the sensing data of the safety state of an exterior facing, and transmits the sensing data; and the cloud server receives the sensing data, analyzes the sensing data, and carries out early warning according to an analysis result. The system has long-term guarding and wireless transmission capabilities, meanwhile, multiple sensors are adopted to synchronously monitor the exterior facing, and through database matching in the cloud server and artificial intelligence method analysis, the evaluation accuracy is optimized, and multi-dimensional and all-time real-time exterior facing health condition monitoring is realized.

Description

Technical Field

[0001] The present invention relates to the field of building safety technology, and in particular to a digital monitoring system and method for building exterior surface safety risks. Background Art

[0002] With the rapid development of my country's economy, the urbanization level is constantly improving, the city scale is constantly expanding, and the number of high-rise buildings is gradually increasing. With the advantages of good decorative effect, water resistance, wear resistance, moderate cost, and easy operation, adhesive exterior finishes have become a more common form of exterior wall decoration in current urban high-rise buildings.

[0003] According to statistics, in 2009, nearly 1,500 high-rise buildings in Shanghai alone were decorated with facing bricks, with a total exterior wall area of ​​more than 12 million square meters. However, due to factors such as unqualified adhesive quality, oversized facing materials resulting in incomplete bonding, heavy materials causing falling, and non-standard construction techniques, the bonding quality of building exterior facings was far below the standard, causing hollowing of the facing materials in the early stages of construction. After the construction was completed, due to the direct contact between the exterior facing and the external environment, the rain, snow, freeze-thaw cycle caused the water vapor in the bonding layer to freeze and melt repeatedly, gradually corroding the bonding mortar, causing the bonding quality to decline and forming hollows; temperature changes in extreme climates caused the facing materials to expand and contract due to heat and cold, causing cracks and forming hollows; at the same time, under the action of negative wind pressure, a pressure difference was generated inside and outside the facing layer, forming hollows. Therefore, under the combined effects of multiple factors such as the material's own properties, water, external force, temperature, and construction, there are huge safety hazards in the exterior finishes of buildings. As time goes by, initial damage such as hollowing will gradually expand, eventually causing the finishing material to completely detach from the base layer and cause a high-altitude fall accident.

[0004] Existing methods for detecting hollowing of exterior finishes can be roughly divided into two categories: the first is traditional detection methods, which mainly include visual inspection, pulling method, knocking method, rebound method and ground penetrating radar method, which use the facade characteristics, material or interface performance, and vibration response of the structure of the building to identify damage; the second is image detection methods, which mainly include image detection methods such as three-dimensional laser scanning technology and infrared thermal imaging technology, which use the spatial information or interface performance of the building facade and combine digital processing methods to identify damage. The first method mainly relies on manual monitoring, which has high monitoring costs and high risks, and the judgment results mostly rely on the experience of the operator, and the monitoring efficiency is low. The second method is easily affected by the environment. When the detection object is blocked or contaminated, the monitoring effect is poor. Summary of the invention

[0005] In view of the defects in the prior art, the object of the present invention is to provide a digital monitoring system and method for safety risks of building exterior finishes.

[0006] According to one aspect of the present invention, a digital monitoring system for safety risks of building exterior facings is provided, comprising:

[0007] An integrated sensor that collects sensor data of the safety status of the exterior surface and transmits the sensor data;

[0008] A cloud server receives and analyzes the sensor data, and issues an early warning based on the analysis results.

[0009] Preferably, the integrated sensor comprises:

[0010] an excitation unit, wherein the excitation unit strikes the outer surface;

[0011] A data sensing unit, the data sensing unit acquires real-time sensor data of the exterior surface, namely, vibration and sound information caused by knocking;

[0012] A transmission unit, wherein the transmission unit uploads the vibration and sound information acquired by the data sensing unit to the cloud server.

[0013] Preferably, the excitation unit performs tapping according to an excitation cycle, and each preset measuring point on the exterior facing unit is tapped once in one excitation cycle;

[0014] The excitation cycle includes a normal excitation cycle and an abnormal excitation cycle, wherein the normal excitation cycle refers to an excitation cycle under a stable environment, i.e., a normal weather environment, and the abnormal excitation cycle refers to an excitation cycle under an emergency environment;

[0015] In the normal excitation cycle, the excitation frequency of the excitation unit is controlled according to the power supply, and several gradients are divided between the maximum and minimum power values, and different gradient values ​​correspond to different excitation frequencies; in the abnormal excitation cycle, the excitation unit maintains high power operation according to the preset maximum excitation frequency.

[0016] Preferably, the cloud server comprises:

[0017] A data receiving unit, the data receiving unit receiving the vibration and sound information uploaded by the integrated sensor;

[0018] a sound signal database, in which the sound information acquired by the data receiving unit is compared with preset sound features;

[0019] a vibration signal database, in which the vibration information acquired by the data receiving unit is compared with a preset vibration feature;

[0020] A safety risk judgment unit, wherein the safety risk judgment unit performs risk judgment according to a comparison result with the sound signal database and the vibration signal database to obtain a judgment result;

[0021] An assessment and early warning unit summarizes the judgment results of the safety risk judgment unit, and issues early warning information when the judgment results exceed a safety threshold, wherein the early warning information includes the area and location of the bonding damage on the exterior surface.

[0022] Preferably, in the safety risk judgment unit, the sensor data that meets the preset data characteristics of the vibration signal database or the sound signal database is directly judged; the sensor data that does not meet the preset data characteristics of the vibration signal database or the sound signal database is judged by an artificial intelligence method.

[0023] Preferably, when the transmission unit receives the sensor data uploaded by the data sensing unit, it matches the communication mode according to the address bit of the sensor data, and the communication mode includes one-way communication and two-way communication;

[0024] When one-way communication is selected, one-way transmission is performed between the data sensing unit and the transmission unit, and no link is established;

[0025] When two-way communication is selected, the data perception unit and the cloud server respectively establish a handshake link with the transmission unit. The data perception unit makes a link request to the transmission unit, and the transmission unit receives or rejects the link request. When the transmission unit receives the link request, the data perception unit may send the transmission data to the transmission unit; the transmission unit directly compresses the received sensor data and uploads it to the cloud server through the link. The cloud server obtains the result through analysis and sends it to the transmission unit. The transmission unit sends the result to the data perception unit through the link, and the data perception unit executes it.

[0026] According to a second aspect of the present invention, a digital monitoring method for safety risks of building exterior facings is provided, comprising:

[0027] Collecting sensor data of the safety status of the exterior surface and transmitting the sensor data;

[0028] The sensor data is received and analyzed, and an early warning is issued according to the analysis results.

[0029] Preferably, the analysis process includes:

[0030] Extracting data features from exterior surface sensor data;

[0031] Comparing the data features with preset features;

[0032] Determining whether the data feature matches a database feature;

[0033] If they match, the security risk of the feature is evaluated;

[0034] If there is no match, artificial intelligence methods are used to analyze the monitoring data, determine the key parameter characteristics, and then conduct a safety risk assessment.

[0035] According to a third aspect of the present invention, there is provided a terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the terminal can be used to execute any one of the digital monitoring systems for safety risks of exterior building finishes, or any one of the digital monitoring methods for safety risks of exterior building finishes.

[0036] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can be used to run any one of the digital monitoring systems for safety risks of building exterior finishes, or to execute any one of the digital monitoring methods for safety risks of building exterior finishes.

[0037] Compared with the prior art, the present invention has at least one of the following beneficial effects:

[0038] The digital monitoring system and method for building exterior safety risks in the embodiment of the present invention have long-term duty and wireless transmission capabilities, and use multiple sensors to synchronously monitor the exterior. Through database matching and artificial intelligence method analysis in the cloud server, the evaluation accuracy is optimized to achieve multi-dimensional, all-time real-time exterior health status monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0040] Figure 1 It is a structural diagram of a digital monitoring system for building exterior surface safety risks in one embodiment of the present invention;

[0041] Figure 2 It is a schematic diagram of the structure of an integrated sensor in a preferred embodiment of the present invention;

[0042] Figure 3 It is a schematic diagram of the structure of a cloud server in a preferred embodiment of the present invention;

[0043] Figure 4 A flowchart of a digital monitoring method for building exterior safety risks in another embodiment of the present invention;

[0044] Figure 5 A flowchart executed in an integrated sensor in another preferred embodiment of the present invention;

[0045] Figure 6 This is a flowchart executed in a cloud server in another preferred embodiment of the present invention. DETAILED DESCRIPTION

[0046] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several variations and improvements may be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0047] See also Figure 1 The present invention provides an embodiment, a digital monitoring system for building exterior surface safety risk, including an integrated sensor 1 and a cloud server 2. The integrated sensor 1 collects sensor data of the exterior surface safety status and transmits the sensor data; the cloud server 2 receives the sensor data and analyzes it, and issues an early warning based on the analysis results.

[0048] The system in this embodiment has the characteristics of wireless transmission, self-excitation, multi-dimensional data perception, and intelligent analysis. It uses vibration and sound sensors to simultaneously perform exterior surface detection to optimize prediction accuracy and achieve multi-dimensional, all-time real-time exterior surface health status monitoring.

[0049] See also Figure 2 In a preferred embodiment of the present invention, a preferred structure of an integrated sensor is provided, specifically, comprising an excitation unit 11, a data sensing unit 12 and a transmission unit 13; the excitation unit 11 is used to knock on the exterior surface, and the data sensing unit 12 obtains real-time vibration and sound information of the exterior surface, and the real-time information is uploaded to the cloud server 13 through the transmission unit 13.

[0050] In a preferred embodiment, the excitation unit 11 includes a knocking head with automatic pop-up and automatic recovery functions. Generally, it is set at the center of the outer facing unit, and the knocking range can cover the entire outer facing unit. It pops up and knocks when needed, and automatically recovers when not needed.

[0051] In a preferred embodiment, the data sensing unit 12 includes multiple sensors of different types, which can monitor multiple state parameters of the exterior surface at the same time. Generally, the sensor is an acceleration sensor, a sound sensor (sound level meter), or a combination of two.

[0052] In a preferred embodiment, the transmission unit 13 wirelessly transmits data via the Internet of Things (NB-IoT) or 4G.

[0053] In a preferred embodiment, the excitation unit 11 performs tapping according to an excitation cycle, and each preset measuring point on the external facing unit is tapped once in one excitation cycle;

[0054] The excitation cycle includes a normal excitation cycle and an abnormal excitation cycle, wherein the normal excitation cycle refers to an excitation cycle under a stable environment, i.e., a normal weather environment, and the abnormal excitation cycle refers to an excitation cycle under an emergency environment;

[0055] Under normal excitation cycles, the excitation frequency of the excitation unit is controlled according to the power supply capacity, and a suitable gradient is divided between the maximum and minimum power values. Different gradient values ​​correspond to different excitation frequencies. Under abnormal excitation cycles, the excitation unit maintains high power operation according to the preset maximum excitation frequency.

[0056] Furthermore, the power supply of the excitation unit is not stable and depends on the power conversion rate of the solar cell and the power consumption rate of the excitation unit. If the power converted by solar energy is sufficient to fully charge the power supply within the time interval between two operations of the excitation unit, the excitation unit can work at full power the next time; if it is not sufficient to fully charge the power supply, the next time the excitation unit works, it needs to be reduced to the power corresponding to the current power gradient. For example, based on the percentage of the power supply of the excitation unit, each 10% power is a gradient, the corresponding excitation frequency is A for 90%-100% power, and 0.1A for 0-10% power. The excitation frequency corresponding to the intermediate power gradient changes linearly from A-0.1A. The above is only one setting method, which can be adjusted according to application requirements.

[0057] See also Figure 3 In a preferred embodiment of the present invention, a preferred structure of a cloud server is provided, specifically, including a data receiving unit 21, a sound signal database 22, a vibration signal database 23, a safety risk judgment unit 24 and an evaluation and early warning unit 25; the data receiving unit 21 receives the vibration and sound information uploaded by the integrated sensor 1; the sound signal database 22 compares the sound information obtained by the data receiving unit 21 with its own preset sound characteristics; the vibration signal database 23 compares the vibration information obtained by the data receiving unit 21 with its own preset vibration characteristics; the safety risk judgment unit 24 makes a risk judgment based on the comparison results with the sound signal database and the vibration signal database to obtain a judgment result; the evaluation and early warning unit 25 summarizes the judgment results of the safety risk judgment unit, and when the judgment result exceeds the safety threshold, issues a warning message, and the warning message includes the area and position of the bonding damage of the exterior surface unit.

[0058] Furthermore, in the safety risk judgment unit 24, the sensor data that meets the preset data characteristics of the vibration signal database or the sound signal database is directly judged; the data in the database are derived from the acceleration and sound data obtained by knocking on the exterior finish unit under laboratory conditions, and cannot completely cover all forms of exterior finish bonding damage in reality. Therefore, the sensor data that does not meet the preset data characteristics of the vibration signal database or the sound signal database is judged by an artificial intelligence method.

[0059] Among them, direct judgment means: after uploading the monitoring data obtained by the data perception unit to the cloud server, the characteristic data such as acceleration and Mel-frequency cepstral coefficients of the measuring point are extracted after preprocessing, and the database is searched through the traversal method to seek the same result to judge whether there is a defect at the measuring point.

[0060] Among them, the artificial intelligence method adopts the fuzzy c-means clustering method, and the related methods involved in satisfying object classification and edge segmentation are also applicable to the judgment of exterior surface defects.

[0061] In a preferred embodiment of the present invention, when the transmission unit receives the sensor data uploaded by the data sensing unit, the communication mode is matched according to the address bit of the sensor data, and the communication mode includes one-way communication and two-way communication;

[0062] When one-way communication is selected, simple one-way transmission is performed between the data sensing unit and the transmission unit without establishing a link;

[0063] When two-way communication is selected, the data perception unit and the cloud server respectively establish a handshake link with the transmission unit. The data perception unit makes a link request to the transmission unit, and the transmission unit receives or rejects the link request. When the transmission unit receives the link request, the data perception unit may send the transmission data to the transmission unit; the transmission unit directly compresses the received sensor data and uploads it to the cloud server through the link. The cloud server obtains the result through analysis and sends it to the transmission unit. The transmission unit sends the result to the data perception unit through the link, and the data perception unit executes it.

[0064] The address of sensor data with normal results after analysis by the cloud server matches one-way communication, and only flows from the data perception unit to the cloud server; the address of sensor data with abnormal results after analysis matches two-way communication. After the cloud server receives the data for analysis, it also needs to send the information to the data perception unit, which confirms and feeds back the information.

[0065] One-way communication only requires a sender and a receiver, which is simple to implement; it does not require information confirmation and feedback, so the communication efficiency is high; there is only one communication direction, which can prevent information leakage and attacks, and has high security. Two-way communication can realize diverse information interaction, complex information exchange and collaboration; it has information confirmation and feedback mechanisms, and has a high fault tolerance rate.

[0066] See also Figure 4 Based on the same inventive concept, the present invention provides a digital monitoring method for exterior facings, comprising:

[0067] S1, collecting sensor data of the safety status of the exterior surface and transmitting the sensor data;

[0068] S2, receives sensor data and analyzes it, and issues warnings based on the analysis results.

[0069] See also Figure 5 In a preferred embodiment of the present invention, S1 is implemented, and the specific process is:

[0070] S11, the excitation unit strikes the external surface at a preset excitation frequency;

[0071] S12, the data sensing unit obtains two types of monitoring data, namely acceleration and sound spectrum, under one excitation;

[0072] S13, the transmission unit uploads the primary monitoring data to the cloud server wirelessly.

[0073] See also Figure 6 In a preferred embodiment of the present invention, S2 is implemented, and the specific process is:

[0074] S21, the cloud server receives monitoring data within an incentive cycle.

[0075] S22, each set of monitoring data is compared and matched with the data features in the database (the data features are all features in the database, such as acceleration and Mel frequency cepstral coefficients).

[0076] S23, judging the monitoring data that meets the data characteristics in the database according to the preset results, and judging the monitoring data that does not meet the data characteristics in the database through artificial intelligence methods.

[0077] S24, summarize the judgment results, and when a result exceeds the safety threshold, send an early warning message to the management personnel for on-site maintenance.

[0078] In a preferred embodiment, the database is a database of vibration and sound information, which is obtained by: producing exterior finishing units under laboratory conditions simulating a real construction environment, presetting bonding defects of different sizes, shapes, and positions for different units, and obtaining sensor data including acceleration and sound after knocking on preset measuring points of the exterior finishing units through a data sensing unit. The sensor data of each exterior finishing unit is used as a set of monitoring data, and the monitoring data of all exterior finishing units constitute a database.

[0079] In a preferred embodiment, in S23, for data features that meet the requirements, the same results can be found in the database to determine whether there is a defect at the measuring point; for data features that do not meet the requirements, the fuzzy c-means clustering method is used to obtain the defect category, location and area.

[0080] In a preferred embodiment, in S24, the area where the measuring point determined to have defects is located is segmented to determine the area ratio of the non-defective area of ​​the exterior surface unit. If the value is lower than a threshold, the unit is deemed to be at risk, otherwise it is deemed to be safe.

[0081] In a preferred embodiment, the threshold is set as the area ratio of the non-defective region corresponding to the average bonding strength of the exterior facing unit when it meets the requirements of the relevant provisions of the "Construction Engineering Facing Brick Bond Strength Test Standard JGJ / T 110-2017".

[0082] The above embodiment adopts a damage monitoring method combining vibration and sound to provide a new solution for exterior surface safety monitoring. It not only has the advantages of easy operation and low detection cost of the knocking method, but also can avoid the subjective experience of the detection personnel in judging the results by combining the machine learning method, and has low requirements for the professional skills of the detection personnel. At the same time, combined with the Internet of Things and cloud computing methods, it can realize the automatic collection, transmission, analysis and early warning of the exterior surface status data, and improve the risk management and control capabilities of the building exterior surface.

[0083] Based on the same technical concept, in other embodiments of the present invention, a terminal is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor can be used to execute any one of the systems described, or to execute any one of the methods described when executing the program.

[0084] Optionally, the memory is used to store programs; the memory may include volatile memory (English: volatile memory), such as random-access memory (English: random-access memory, abbreviated: RAM), such as static random-access memory (English: static random-access memory, abbreviated: SRAM), double data rate synchronous dynamic random access memory (English: Double Data Rate Synchronous Dynamic RandomAccess Memory, abbreviated: DDRSDRAM), etc.; the memory may also include non-volatile memory (English: non-volatile memory), such as flash memory (English: flash memory). The memory is used to store computer programs (such as applications, functional modules, etc. that implement the above method), computer instructions, etc., and the above computer programs, computer instructions, etc. can be partitioned and stored in one or more memories. And the above computer programs, computer instructions, data, etc. can be called by the processor.

[0085] The above-mentioned computer programs, computer instructions, etc. may be stored in one or more memories in partitions, and the above-mentioned computer programs, computer instructions, data, etc. may be called by a processor.

[0086] The processor is used to execute the computer program stored in the memory to implement the various steps in the method involved in the above embodiment. For details, please refer to the relevant description in the above method embodiment.

[0087] The processor and the memory may be independent structures or integrated structures. When the processor and the memory are independent structures, the memory and the processor may be coupled and connected via a bus.

[0088] Based on the same technical concept, in other embodiments of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, it can be used to run any of the systems described, or to execute any of the methods described. Wherein, the computer-readable medium includes a computer storage medium and a communication medium, wherein the communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer. An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an ASIC. In addition, the ASIC can be located in a user device. Of course, the processor and the storage medium can also exist in a communication device as discrete components.

[0089] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0090] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0091] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0092] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0093] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A digital monitoring system for building exterior safety risks, characterized in that: include: An integrated sensor that collects sensor data of the safety status of the exterior surface and transmits the sensor data; A cloud server receives and analyzes the sensor data, and issues an early warning based on the analysis results.

2. A digital monitoring system for building exterior safety risks according to claim 1, characterized in that: The integrated sensor comprises: an excitation unit, wherein the excitation unit strikes the outer surface; A data sensing unit, the data sensing unit acquires real-time sensor data of the exterior surface, namely, vibration and sound information caused by knocking; A transmission unit, wherein the transmission unit uploads the vibration and sound information acquired by the data sensing unit to the cloud server.

3. A digital monitoring system for building exterior safety risks according to claim 2, characterized in that: The excitation unit performs tapping according to an excitation cycle, and each preset measuring point on the exterior facing unit is tapped once in one excitation cycle; The excitation cycle includes a normal excitation cycle and an abnormal excitation cycle, wherein the normal excitation cycle refers to an excitation cycle under a stable environment, i.e., a normal weather environment, and the abnormal excitation cycle refers to an excitation cycle under an emergency environment; In the normal excitation cycle, the excitation frequency of the excitation unit is controlled according to the power of the power supply, and several gradients are divided between the maximum and minimum power values, and different gradient values ​​correspond to different excitation frequencies; in the abnormal excitation cycle, the excitation unit maintains high power operation according to the preset maximum excitation frequency.

4. A digital monitoring system for building exterior safety risks according to claim 1, characterized in that: The cloud server comprises: A data receiving unit, the data receiving unit receiving the vibration and sound information uploaded by the integrated sensor; a sound signal database, in which the sound information acquired by the data receiving unit is compared with preset sound features; a vibration signal database, in which the vibration information acquired by the data receiving unit is compared with a preset vibration feature; A safety risk judgment unit, wherein the safety risk judgment unit performs risk judgment according to a comparison result with the sound signal database and the vibration signal database to obtain a judgment result; An assessment and early warning unit summarizes the judgment results of the safety risk judgment unit, and issues early warning information when the judgment results exceed a safety threshold, wherein the early warning information includes the area and location of the bonding damage on the exterior surface.

5. A digital monitoring system for building exterior safety risks according to claim 4, characterized in that: In the safety risk judgment unit, the sensor data that meets the preset data characteristics of the vibration signal database or the sound signal database is directly judged; the sensor data that does not meet the preset data characteristics of the vibration signal database or the sound signal database is judged by an artificial intelligence method.

6. A digital monitoring system for building exterior safety risks according to claim 2, characterized in that: When the transmission unit receives the sensor data uploaded by the data sensing unit, the communication mode is matched according to the address bit of the sensor data, and the communication mode includes one-way communication and two-way communication; When one-way communication is selected, one-way transmission is performed between the data sensing unit and the transmission unit, and no link is established; When two-way communication is selected, the data perception unit and the cloud server respectively establish a handshake link with the transmission unit. The data perception unit makes a link request to the transmission unit, and the transmission unit receives or rejects the link request. When the transmission unit receives the link request, the data perception unit may send the transmission data to the transmission unit; the transmission unit directly compresses the received sensor data and uploads it to the cloud server through the link. The cloud server obtains the result through analysis and sends it to the transmission unit. The transmission unit sends the result to the data perception unit through the link, and the data perception unit executes it.

7. A digital monitoring method for building exterior safety risks, characterized in that: include: Collecting sensor data of the safety status of the exterior surface and transmitting the sensor data; The sensor data is received and analyzed, and an early warning is issued according to the analysis results.

8. A digital monitoring method for building exterior safety risks according to claim 7, characterized in that: The analysis process includes: Extracting data features from exterior surface sensor data; Comparing the data features with preset features; Determining whether the data feature matches a database feature; If they match, the security risk of the feature is evaluated; If there is no match, artificial intelligence methods are used to analyze the monitoring data, determine the key parameter characteristics, and then conduct a safety risk assessment.

9. A terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, it can be used to run the system described in any one of claims 1 to 6, or to execute the method described in any one of claims 7 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, it can be used to run the system described in any one of claims 1 to 6, or to execute the method described in any one of claims 7 to 8.

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