Laser wake-up building displacement monitoring method and device

Abstract

The present invention discloses a laser awakening building displacement monitoring method and device. A wireless cooperative base station collects laser beam offset variables uploaded by a low-power laser sensor node pre-buried at a target point through wireless synchronous control, including: when the laser sensor's receiving response to a laser beam incident signal reaches a certain threshold, it enters a shallow sleep state that allows radio frequency reception through a front photoelectric coupling response; it is awakened by wireless excitation in the shallow sleep state, and the laser beam incident signal is coupled and collected in a synchronous sampling period according to the received wireless synchronous group read signal to obtain the corresponding laser beam offset variable; the laser beam offset variable is sent to the cooperative base station by wireless response, and the displacement of the target point is tracked and monitored through mapping conversion calculation. The present invention tracks and monitors the displacement of the target point on the surface of the building component, can be awakened by laser beam incident excitation, and has the advantages of low power consumption, high precision, and a large receiving incident angle range.

Description

Technical Field

[0001] The present invention relates to the fields of Internet of Things wireless communications, sensors and edge computing technologies, data collection and evaluation calculation for intelligent building monitoring, and in particular to a laser wake-up type building displacement monitoring method and device. Background Art

[0002] Building safety monitoring focuses on the displacement, deformation, damage and aging of the target building as a whole and in local areas, and collects data and monitors and evaluates the relevant state variables that have an impact. In particular, it is necessary to collect and monitor the displacement and deformation of the main structure and key components of the building, as well as the relative displacement of the connection gaps between adjacent components.

[0003] Building displacement monitoring is the basis for monitoring and evaluating the deformation of various buildings. By collecting and fitting the displacement data of distributed discrete target points in the target area, the overall contour deformation and local deformation of the main structure of the building can be monitored and evaluated. The target points are representative observable points on the surface area of ​​the components and should be set on the main structure and key components first.

[0004] Displacement sensors used for building monitoring can be divided into observation displacement sensors (far-point displacement sensors) and proximity displacement sensors; the observation displacement sensor is used to detect the displacement of the target point relative to the far-distance observation point (reference point); the proximity displacement sensor is used to detect the relative displacement of the target point relative to the close-range object. Obviously, at least the observation displacement sensor (displacement monitoring equipment) should be used to monitor the displacement of some key target points on the main structure of the building; on this basis, the proximity displacement sensor can be used to monitor the relative displacement of the connection gap between adjacent components.

[0005] The observation displacement sensors currently on the market are mainly based on physical signal transmission methods such as laser, infrared, wireless radio frequency, and ultrasound. Before the wireless sensor network was set up, there was a lack of pre-buried sensor nodes on the surface of building components. Most of the existing observation displacement sensors are mainly based on reflection detection, among which the laser displacement sensor is a displacement sensor with relatively high detection accuracy, including methods based on time of flight, trigonometric hysteresis, phase shift, interference, spectral confocality, etc. By measuring the distance from the observation point to the target point in the specified observation direction, the position coordinates of the reflection point can be calculated.

[0006] The existing observation displacement sensor technology mainly calculates the position coordinates of the reflection point by detecting the emission / reflection distance of the laser (or other optical signals). Although this reflection distance measurement method has many advantages such as high distance detection accuracy, good single detection convenience and strong versatility, it still has the following technical defects for online tracking and monitoring of the displacement of distributed target points on the surface of the building:

[0007] 1) Target point displacement tracking problem: Considering local displacement and deformation, the reflection point on the surface of the target component is not the original true target point, making it difficult to track and monitor the true target point; the laser ranging accuracy does not represent the target point displacement measurement accuracy (even for the off-surface displacement in the laser incident direction). Even if the rigid components in the target area are observed, multi-directional and multi-point distance detection is still required to calculate the target point displacement.

[0008] 2) Small-angle observation problem: Since the reflected light needs to be measured, the positive-angle observation direction is conducive to high-precision distance measurement; however, if the surface tangential displacement of the target point needs to be measured (such as the lateral displacement and settlement displacement of the vertical surface), a small-angle observation direction must be set separately. For example, when the most commonly used triangular hysteresis method laser displacement sensor measures the surface tangential displacement, it is often necessary to install a reflector at the reflection point.

[0009] 3) Influence of target surface properties: Reflective ranging will be affected by the surface properties, shape and environmental factors of the object being measured; especially when measuring tangential displacement at a small angle, if a reflector is not installed, it may not be possible to measure or the accuracy may drop significantly. Although reflectors can be installed to measure the displacement of individual target points, the same reflector can only support displacement measurement in a specific direction. Installing a large number of reflector arrays will not only lose the convenience advantage of reflective ranging, but also bring problems with installation and maintenance costs and appearance environment.

[0010] 4) The problem of setting up observation point areas: Considering the convenience of power supply and maintenance of observation equipment, there should not be too many observation point areas. Setting up a small number of observation point areas (such as 2 to 3) can support high-precision online monitoring of the three-dimensional displacement of distributed target points within a large area and a wide viewing angle target area. However, since reflective ranging needs to measure a specific displacement direction in a specific observation direction, it is not conducive to reducing the number of observation point areas.

[0011] Based on the single-point observation displacement detection technology, optical image detection (such as active laser scanning, passive thermal infrared imaging detection equipment) can quickly detect the distributed distance and position coordinates of the target building surface, especially the measurement of the relative displacement of the field of view area, and has a good monitoring effect on surface damage such as local bulging and cracks. However, due to the high cost of the equipment, the low absolute accuracy of single-point displacement measurement, the lack of selectivity for window target points, and complex image processing algorithms, optical image detection is more suitable for monitoring the relative displacement and damage of the target area at a short distance and positive viewing angle, rather than long-term online tracking and monitoring of distributed key target points.

[0012] Compared with the reflective ranging technology, the through-beam displacement sensor can overcome some of the above technical defects, but the following problems still need to be solved: 1) The low-cost installation problem of installing sensor nodes (transmitters or receivers) on the surface of buildings; 2) The ultra-low power consumption problem: Passive nodes or ultra-low power active nodes (one-time ultra-long battery life) need to be adopted, which can greatly help solve the installation maintenance and waterproofing problems (fully non-enclosed structure); 3) The measurement and calculation problem of multiple displacement directions: Through multi-directional mapping transformation, the three-dimensional displacement vector of any coordinate system can be accurately calculated, including the tangential displacement and out-of-plane displacement of the building surface; 4) The displacement range problem of long-term tracking and monitoring: When the target point has a large displacement resulting in insufficient displacement range, the through-beam direction should be able to be quickly adjusted to align the transmitter and receiver.

[0013] With the development of IoT wireless communication, sensors, edge computing and other related technologies, online data collection and monitoring of various building objects is of great value. The wireless sensor network for building monitoring includes several wireless cooperative base stations and distributed low-power wireless sensor nodes. By pre-embedding a distributed low-power sensor node array inside the building (including the surface, interior and connection gaps of components), real-time data collection is performed on the sensor state variables of the entire target building and local areas; the sensor state variables include observable structural morphological variables and physical variables related to the interior.

[0014] Therefore, considering the needs of building monitoring data acquisition systems, how to use distributed low-power sensor nodes in wireless sensor networks to collect small displacement vectors of distributed target points in target building areas, especially the main structure and key components, to obtain high-precision displacement variables, so as to conduct long-term continuous tracking and monitoring, has become a technical problem that needs to be solved urgently. Summary of the invention

[0015] The technical problem to be solved by the present invention is how to balance low power consumption and high precision when the distributed displacement sensors embedded in the components of the target building area monitor the tiny displacements of the target points, including: how to enable the wireless laser sensor to collect and upload high-precision tiny displacement variables only in the transient time slot after the excitation wake-up, so that the wireless laser sensor has ultra-low power consumption; how to enable the laser sensor to receive and collect laser beam signals, calculate the laser beam offset variable corresponding to the peak intensity of the laser beam, and improve the calculation accuracy of displacement collection; how to obtain high-precision tiny displacements through mapping conversion calculations, calculate the three-dimensional displacement vector, obtain high-precision data collection of the displacement variables, and continuously track and monitor the displacement of the target point.

[0016] In order to solve the above problems, the present invention proposes a laser awakening building displacement monitoring method and device.

[0017] In the first aspect, the present invention discloses a laser awakening building displacement monitoring method. After the wireless cooperative base station emits a laser beam through the laser transmitter of the wireless control observation point, the laser beam offset variable uploaded by the low-power wireless laser sensor node pre-buried at the target point is collected in a wireless group reading manner, and the displacement of the target point in the target area on the surface of the building component is tracked and monitored. The method specifically includes the following steps: when the receiving response of the laser sensor to the laser beam incident signal reaches a certain threshold, the laser sensor enters a shallow sleep state allowing radio frequency reception through a front photoelectric coupling response; the laser sensor is awakened by wireless excitation in the shallow sleep state, and starts collecting the laser beam incident signal according to the wireless synchronous group reading signal sent by the cooperative base station; the laser sensor couples and collects the laser beam incident signal in a synchronous sampling period to obtain a laser beam offset variable corresponding to the laser beam incident center; the laser sensor wirelessly responds and sends the laser beam offset variable to the cooperative base station, and the cooperative base station tracks and monitors the displacement of the target point through mapping conversion calculation based on the laser beam offset variable.

[0018] Optionally, the laser sensor is set on the building component of the target area in a pre-embedded or surface-mounted manner, and receives the laser beam incident signal through a receiving window on the surface of the building component; the laser emission offset variable is a pulse peak value variable and a corresponding coordinate displacement obtained by a photoelectric coupling array at the laser beam incident center in the window response area; the laser emission offset variable refers to the coordinate offset of the laser beam incident center, including the window offset variable of the laser beam incident center in the window response area and the distance offset variable in the laser emission direction.

[0019] Optionally, the laser beam incident signal is an electromagnetic pulse excitation signal, and the laser sensor obtains the pre-photoelectric coupling response by passively coupling the electromagnetic pulse excitation signal through a pre-coupling unit.

[0020] Optionally, the cooperative base station converts the window displacement mapping uploaded by the laser sensor into the incident surface displacement according to the window incident angle through the mapping conversion based on the collected data of the laser beam offset variable, and then converts the window displacement mapping uploaded by the laser sensor into the incident surface displacement according to the incident angle. Maps the displacement of a target point into a given coordinate system.

[0021] Optionally, the laser sensor is awakened by a wireless excitation signal in the shallow sleep state and enters a low-power standby mode, waiting to be triggered by a wireless synchronization signal; after the laser sensor receives the synchronous group read signal sent by the collaborative base station, it starts collecting the laser beam offset variable.

[0022] Optionally, the laser sensor tracks and monitors the displacement of the target point in stages, and uploads the laser shooting offset variables of the current period and different periods; before starting a new period of fixed-point tracking and monitoring, the emission attitude direction parameters of the laser transmitter are adjusted and aligned, so that after the adjustment and alignment, the current period's initial coordinates of the target point are aligned with the initial coordinate range entering the window response area.

[0023] Optionally, the collaborative base station sends correction parameters to the laser emitter through wireless control according to the laser shooting offset variable currently received and uploaded by the laser sensor, and adjusts and aligns the emission attitude direction of the laser emitter; the laser emitter adjusts the emission attitude direction parameters through feedback based on the received correction parameters to achieve adjustment and alignment of the paired target point, so that the initial coordinates of this period after the adjustment and alignment are aligned with the initial coordinate range of the window response area.

[0024] Optionally, while the target point is being tracked and monitored at a fixed point while maintaining the laser beam emission attitude and direction parameters unchanged, the collaborative base station triggers the laser sensor to be wirelessly stimulated and awakened each time by the sliding timing adjustment method, and then starts collecting and monitoring the laser beam offset variable uploaded by the laser sensor by wireless synchronous group reading; the coordinate displacement of this period is calculated based on the offset of the peak coordinates obtained from the current collection relative to the initial coordinates of this period.

[0025] Optionally, when the laser beam is incident beyond the window response area, the collaborative base station wirelessly controls the laser emitter to adjust and increase the emission divergence angle of the laser beam emission attitude direction parameter, so that the laser sensor covered by the scan is effectively stimulated; when the collaborative base station wirelessly controls the laser emitter to adjust the emission divergence angle so that the currently collected peak coordinates are aligned with the initial coordinate range entering the window response area, the emission divergence angle is adjusted to be reduced and necessary attitude correction is performed to improve the optical resolution accuracy of the laser beam offset variable.

[0026] Optionally, the cooperative base station performs multi-point tracking and monitoring of target points corresponding to multiple laser sensor nodes in a target area through multi-point switching control, and collects the coordinate displacement of each target point respectively. , where i∈[1,N]; the cooperative base station is based on the displacement speed Calculate and correct the current coordinate displacement of the i-th target point: , where ΔT is the multi-point monitoring time accumulated for all N target points in this period, and Δt(i) represents the fixed-point monitoring time for the i-th target point in this period.

[0027] In the second aspect, the present invention also discloses a laser wake-up type building displacement monitoring device, which includes a laser transmitter installed at an observation point and a low-power laser sensor embedded in a target point; after the wireless cooperative base station wirelessly controls the laser transmitter to emit a laser beam, it collects the laser beam offset variable uploaded by the laser sensor node in a wireless group reading manner to track and monitor the displacement of the target point in the target area on the surface of the building component; the laser sensor is composed of the following modules: a pre-response module: when the receiving response to the laser beam incident signal reaches a certain threshold, the pre-photoelectric coupling response makes itself enter a shallow sleep state allowing radio frequency reception; an excitation wake-up module: in the shallow sleep state, according to the wireless synchronous group reading signal sent by the cooperative base station, start collecting the laser beam incident signal; a coupling acquisition module: for coupling and collecting the laser beam incident signal in a synchronous sampling period to obtain a laser beam offset variable corresponding to the laser beam incident center; a response sending module: for sending the laser beam offset variable to the cooperative base station in a wireless synchronous response manner, and the cooperative base station tracks and monitors the displacement of the target point through mapping conversion calculation based on the laser beam incident offset variable.

[0028] Optionally, the coupling acquisition module converts the laser beam incident signal entering the receiving window into a two-dimensional intensity distribution of the window response area, and is specifically composed of the following units: a photoelectric coupling array: used to convert the laser beam incident signal entering the receiving window after optical processing into a photoelectric coupling signal; a filtering sampling unit: performing high-frequency bandpass filtering on the photoelectric coupling signal according to the pulse frequency of the laser beam incident signal, outputting a filtered sampling signal, and eliminating the acquisition signal contained in the photoelectric coupling signal that responds to the background radiation; a scanning acquisition unit: scanning and selecting the coupling conversion units in the photoelectric coupling array, and performing A / D acquisition on the filtered sampling signal to obtain a two-dimensional intensity distribution corresponding to the photoelectric coupling array.

[0029] From the technical solution provided by the present invention, it can be seen that the wireless cooperative base station of the present invention tracks and monitors the displacement of the target point by collecting the laser beam offset variable uploaded by the laser sensor node, including: the laser sensor is awakened by wireless excitation when the laser beam is incident, and the laser beam incident signal is collected according to the wireless synchronization group reading signal, so that the laser sensor only works in the transient synchronization time slot after the laser incident and has ultra-low power consumption; the laser sensor couples and collects the laser beam incident signal through the photoelectric coupling array, obtains the laser beam offset variable through two-dimensional peak fitting calculation, obtains high-precision displacement variable data collection, and solves the accuracy and range problems of the fixed-point displacement tracking observation mode; obtains high-precision tiny displacement through mapping conversion calculation, calculates the three-dimensional displacement vector, and obtains data collection for tracking and monitoring the displacement of the target point.

[0030] Therefore, compared with the prior art, the present invention uses a laser sensor pre-buried at the target point to align and receive the laser beam emitted by the laser transmitter installed at the observation point. The laser sensor couples and collects the incident signal of the laser beam, calculates the laser beam offset variable, and obtains high-precision displacement variable data collection, thereby solving the interference problem of the measurement range and the background light radiation response. The mapping calculation problem of multiple displacement directions is solved through fixed-point tracking monitoring and mapping conversion calculation in different observation modes.

[0031] The low-power wireless laser receiver node installed in the target area of ​​the present invention is a low-power surface node device that can be awakened by transient excitation. It is easy to quickly find alignment through laser scanning excitation, and can perform signal acquisition and displacement calculation for laser beams with a wide range of incident angles; and has the advantages of small size, closed structure, easy waterproofing, and quick pre-embedded installation. The laser transmitter can be installed at any specified observation point within a large-angle observation direction range, and the laser sensor aimed at one or more target points in the target area is adjusted. Compared with the prior art, the optical observation accuracy of fixed-point displacement monitoring can be greatly improved, the number of observation point area settings can be reduced, and the three-dimensional displacement vector of any coordinate system can be accurately calculated. Therefore, the present invention is very suitable for tracking and monitoring the displacement of distributed target points observable on the surface of target building components, especially for target points on the main structure of the building and key components. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 A flowchart of a laser wake-up type building displacement monitoring method disclosed in an embodiment of the present invention;

[0034] Figure 2 A module block diagram of a laser sensor in a laser wake-up type building displacement monitoring device disclosed in an embodiment of the present invention;

[0035] Figure 3 A block diagram of a coupling acquisition module in a laser sensor disclosed in an embodiment of the present invention;

[0036] Figure 4 The present invention is a schematic diagram of alignment observation of a laser awakening type building displacement monitoring device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and beneficial effects of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the described embodiments are part of the present invention, not all embodiments, and are only used to explain the present invention, not to limit the present invention.

[0038] In the first embodiment, after the wireless cooperative base station in the wireless sensor network for building monitoring adjusts the laser transmitter installed at the observation point to emit a laser beam through wireless synchronous control, the laser beam offset variable uploaded by the distributed low-power wireless laser sensor node embedded in the target building area is collected in a wireless group reading manner, and the displacement of the target point in a certain observable target area on the surface of a certain building component is tracked and monitored;

[0039] Please refer to Figure 1 , this embodiment specifically includes the following steps:

[0040] Step S101, when the laser sensor's reception response to the laser beam incident signal reaches a certain threshold, the laser sensor responds through the front photoelectric coupling to enter a shallow sleep state allowing radio frequency reception;

[0041] Step S102, when the laser sensor is incident with the laser beam emitted by the laser transmitter, it is awakened by wireless stimulation in the shallow sleep state, and starts collecting the laser beam incident signal according to the received wireless synchronous group read signal sent by the cooperative base station;

[0042] Step S103, the laser sensor couples and collects the laser beam incident signal through the photoelectric coupling array during the synchronous sampling period to obtain the intensity distribution P(x, y) collected in the window response area, and the window response area is the effective response area corresponding to the photoelectric coupling array in the receiving window; based on the intensity distribution P(x, y), the laser sensor obtains the laser beam offset variable corresponding to the intensity peak point corresponding to the laser beam incident center through two-dimensional peak fitting calculation;

[0043] In step S104, the laser sensor sends the laser beam offset variable included in the status response data frame to the cooperative base station in a wireless synchronous response manner, and the cooperative base station tracks and monitors the displacement of the target point according to the collected laser beam offset variable through mapping conversion calculation.

[0044] The implementation of the above steps is further explained as follows:

[0045] The wireless sensor network is composed of a number of wireless cooperative base stations and distributed wireless sensor nodes covered by the base stations; the laser beam displacement sensor as the sensor node includes a laser transmitter installed at an observation point and a distributed low-power wireless laser sensor node pre-buried in the target area.

[0046] Before stimulating and waking up the laser sensor, the laser emitter is first activated to emit a laser beam; the laser sensor includes the following types and combinations: 1) long-distance laser emitter: the laser beam is emitted after preheating in advance, and is used for high-precision (high-focus) tracking and monitoring of the displacement of key target points; 2) low-power semiconductor laser emitter: the laser beam (such as an infrared laser beam) is emitted after a short startup, and is used for tracking and monitoring the displacement of non-key target points in a local area.

[0047] It should be noted that the building monitoring includes monitoring of building displacement and building deformation; the building displacement includes static displacement and dynamic displacement, which correspond to static deformation and dynamic deformation respectively. The building displacement includes component displacement and tilt displacement caused by building settlement, lateral displacement, tilt and deformation.

[0048] By collecting data on the relative displacement between different target areas and different target points of the target building and performing vector analysis and calculation, the first type of deformation (observable deformation) can be monitored and calculated. The relative displacement is the relative displacement between several areas or components of the same target building.

[0049] The building deformation refers to the changes in the structural size, shape and force distribution of the building. The building deformation includes the first type of deformation (observable deformation) and the second type of deformation (internal deformation).

[0050] The building deformation includes static deformation and dynamic deformation; the static deformation refers to the change in geometric shape corresponding to the long-term deviation relative to the reference initial value; the dynamic deformation refers to the change in geometric shape corresponding to the short-term deviation caused by its own load stress or external force.

[0051] The target building is decomposed into a number of local areas according to the overall area to be monitored. The building deformation monitoring includes monitoring of overall deformation and local deformation.

[0052] In a certain area of ​​the monitored target building object, at least one node array is formed by a number of distributed wireless sensor nodes.

[0053] The sensor node refers to a wireless node device that collects sensor signals of physical quantities related to the target building object (target building and its target area, building components and their target points) and uploads the collected sensor state variables in a low-power wireless manner.

[0054] The wireless sensor network includes a wireless cooperative base station as a service node and low-power wireless sensor nodes around the base station as sensing service objects.

[0055] The cooperative base station acts as a group reading host to enable a predetermined state mode of the sensor node through a wireless excitation wake-up trigger; and starts a corresponding acquisition task sequence through wireless synchronous group reading and obtains an assigned response channel time slot.

[0056] The node array is a node array given by an array pattern code during pre-embedding; the array pattern corresponds to a structured pattern of relative spatial positional relationships between given internal nodes.

[0057] The node array is composed of a number of sensor nodes in the target area or building components, and the internal node coordinates are approximately given (node ​​pre-embedded errors are allowed).

[0058] The cooperative base station may query the array mode code corresponding to the node array through the system index according to the device ID information of any sensor node (usually a surface node) in the current node array.

[0059] The sensor node is a low-power wireless group reading cluster node; the group reading cluster node (referred to as cluster node) refers to a node device that is a group-read object in the wireless communication process of group reading response.

[0060] The sensor node is a low-power wireless group reader node that wirelessly transmits and uploads a state response data frame containing one or more sensor state variables in an active response or passive response manner.

[0061] The sensor state variable is a physical state variable obtained by the sensor node through signal collection.

[0062] The signal acquisition includes signal coupling, pre-conversion, signal sampling and data processing.

[0063] The synchronous group reading signal is a wireless synchronization signal sent by the wireless group reading host, which enables the slave nodes being group read to obtain the synchronous response channel time slot and response mode indication information.

[0064] The wireless synchronization signal includes (or can be received and converted into) a synchronization trigger edge, which is used as a time point for synchronization time correction.

[0065] The synchronous group read signal is a wireless synchronization signal including a group read identifier and a synchronous group read data frame.

[0066] The group read response refers to sending an upload current status response data frame with corresponding response mode parameters according to the received group read identification or instruction information.

[0067] After the sensor node receives the synchronization group read signal on the high-frequency synchronization channel, it sends the status response data frame on the high-frequency response channel accordingly; the synchronization channel refers to a modulation channel in a sub-band (or frequency point) of a high-frequency frequency band for transmitting wireless synchronization signals; the high-frequency response channel refers to several modulation channels in a high-frequency frequency band for transmitting response data or response signals.

[0068] The group read identifier is a wireless identifier included in the wireless synchronous group read signal, which indicates the group read cluster node selection, response mode and its response channel time slot.

[0069] The group reading identifier is included in the synchronous group reading data frame sent by the group reading host.

[0070] The wireless synchronization signal can be received and converted into a synchronization start (as a time trigger edge) to correct the synchronization phase and / or synchronization period of the wireless modulation signal.

[0071] The wireless synchronization signal refers to a wireless modulation signal that the wireless host uses to enable the slave node to obtain time synchronization; time synchronization means that the wireless host and the slave node have a synchronization period and channel time slot that are consistent in the time domain.

[0072] The synchronous group read signal includes one or more group read identifiers, and the group read identifier includes a code domain channel identifier and a state priority identifier.

[0073] The group reading identifier is a wireless identifier included in the synchronous group reading signal and indicates the execution feedback mode and response mode of the group reading cluster node.

[0074] The code domain channel identifier is a group reading identifier, which is used to assign an indication identifier of a corresponding response channel time slot to a target group reading node; the target group reading node is the currently selected group reading cluster node.

[0075] The code domain channel identifier is a group reading identifier for performing code domain conversion processing and channel time slot allocation on a target group reading node.

[0076] The code domain conversion process includes algorithms such as enumeration, limitation, multiple selection, and mapping of group reading node codes. The code domain channel identifier includes a code domain conversion identifier and / or a channel time slot identifier. The code domain channel identifier includes a group reading identifier that performs mapping, conversion, and adjustment and correction on the group reading code domain and its response channel time slot.

[0077] The group reading code domain refers to the node code domain of the currently selected group reading cluster machine; the node code domain may refer to the node code domain before or after mapping conversion.

[0078] The group code reading domain may be a group group code reading domain, wherein the grouping includes grouping by node role, response level, wireless mode and channel time slot category (such as high frequency / low frequency channel, priority / non-priority channel time slot).

[0079] The code domain conversion identifier (included in the code domain channel identifier) ​​is a group read identifier for performing mapping conversion processing on the node code domain.

[0080] The mapping conversion process converts the current wider node code domain range into a narrower sequence code range, and limits and selects (multiple selection, enumeration) the node code based on the sequence code.

[0081] The channel time slot identifier (included in the code domain channel identifier) ​​is a group reading identifier that allocates a designated response channel time slot to different group reading cluster machine nodes based on the set synchronization channel time slot parameters.

[0082] The synchronization channel time slot parameters are parameters for dividing the synchronization channel time slots, including synchronization channel parameters, synchronization cycle parameters, and synchronization time slot parameters; such as: the number of channels / time slots corresponding to different frequency bands and frequency points, cycle time, and time slot interval.

[0083] The state priority mark is a group reading mark that indicates the response priority based on the state transition degree, and is used to indicate the state transition condition of the sensor node being group read.

[0084] The synchronous group read data frame is a data frame including or following the synchronous group read signal.

[0085] The synchronous group reading data frame is a data frame sent by the wireless group reading host to the target group reading node; for example, it indicates the timing mode parameters of the sensor node being group read in the sensor signal collection, state variables and its response channel time slot.

[0086] The target area is the area currently being monitored and evaluated, and may include one or more monitored local areas; the local area refers to the component area or unit area included in the overall area of ​​the target building; the component area refers to the local area included in several monitored building components.

[0087] The target area is the monitored area covered by the signal collection of several sensor nodes, including the following types: 1) component areas corresponding to one or more building components and connection gaps; 2) local areas covered by the current observation equipment.

[0088] The building displacement is the absolute displacement or relative displacement of the target building object and the target points included therein. The absolute displacement refers to the displacement of the measured target object relative to a reliable reference system; the relative displacement refers to the displacement of the measured target object relative to a given reference object or reference point.

[0089] The building deformation includes rigid deformation and non-rigid deformation; the rigid deformation refers to the building deformation (such as building settlement, lateral displacement, tilt, etc.) caused by the rigid body movement (including translation and angular displacement) of the target object.

[0090] Due to the inconsistency of the rigid deformation of different local areas (i.e., the difference in the combined displacement vector), the larger area or the overall area containing these local areas is a non-rigid deformation.

[0091] The sensor node is a low-power wireless node device that collects and monitors signals of a target physical quantity corresponding to a target building object. The sensor node uploads the sensor state variable obtained by collecting signals of the target physical quantity to the upper node.

[0092] The overall deformation refers to the architectural deformation of the main outline of the overall area (ignoring the local area); the local deformation includes the relative changes of different local areas with respect to the overall area, as well as the changes within the local area; the local deformation includes component deformation.

[0093] The geometric shape change includes changes in the position, direction, shape, size, etc. of the target object.

[0094] The non-rigid deformation refers to the building deformation caused by changes in local size and shape, such as expansion / contraction, bending / twisting, divergence / convergence and cracking / cracks.

[0095] When the load stress of building components is unbalanced due to local external forces and environmental changes, the displacement and direction changes of different building components are inconsistent, resulting in non-rigid deformation of the target area.

[0096] The target building object (referred to as target building) refers to the monitored building object, including the monitored building as a whole or a local area (such as a bridge segment, a building frame, a building support system, a building foundation) .

[0097] The collaborative base station is a collaborative host or a wireless service node device managed by a collaborative host. As a service node in the edge domain of the Internet of Things, the collaborative base station provides collaborative perception services including data collection, calculation and processing and related edge collaborative computing to the surrounding perception object devices, facing wireless low-power sensor nodes.

[0098] The collaborative sensing service is data collection and collaborative computing processing based on time-series mode management for the sensing object device. The edge computing capability includes wireless network management capability. The edge host manages the network node attributes, wireless mode parameters, service objects, collaborative tasks, etc. of the collaborative base stations based on data communication with wireless collaborative base stations in several areas.

[0099] The collaborative host can be undertaken by one or more edge hosts or collaborative base stations. The collaborative host is a local host (such as an edge gateway, an edge base station) or a remote host with edge computing capabilities (such as an edge server).

[0100] The collaborative host is the system host itself, or acts as an agent management device to connect (access) a data service network (local area network or wide area network) through a broadband network (such as a WiFi router, Ethernet interface, mobile communication base station, etc.); and accepts management by the system host through data communication with the system host.

[0101] Example 2, for the aforementioned reference Figure 1 The implementation of the flowchart steps is further described as follows:

[0102] The laser sensor is arranged on the building component of the target area in a pre-buried or surface-mounted manner, and the laser sensor receives the laser beam incident signal through a receiving window on the surface of the building component.

[0103] The sensor nodes include single or integrated tilt sensor nodes and / or displacement sensor nodes; after the collaborative base station collects data from the first type of sensor nodes serving as surface nodes in a local area, it updates the monitoring and collection mode parameters of the second type of sensor nodes serving as inner nodes in the local area when necessary based on the status comparison evaluation.

[0104] The cooperative base station evaluates the correlation between the first type of deformation and the second type of deformation in the local area based on the collected data of the first type and the second type of sensor state variables, and evaluates the state priority and warning level corresponding to the local area.

[0105] The vector fitting analysis includes vector fitting and vector analysis; the cooperative base station converts the displacement variables and inclination variables of the discrete target points acquired by the acquisition into a combined displacement vector , the fitting vector distribution of the combined displacement vector is obtained by vector fitting ; The combined displacement vector includes the point displacement vector and / or tilt displacement vector .

[0106] The vector analysis includes: according to the fitting vector distribution obtained for the target area , calculate the vector divergence distribution , and based on the vector divergence distribution The deformation degree of the target area is further evaluated by calculation.

[0107] The collaborative host obtains the combined displacement vector corresponding to different local areas j by collecting data of the local areas and performing weighted calculations Data; by comparing regional differences through the vector analysis, the overall span deformation degree of the target building is monitored and evaluated.

[0108] The cooperative base station performs the state comparison evaluation based on the state variables of deformation degree obtained by collecting data from different local areas and evaluating them, and adjusts the monitoring and collection mode of the local area; the monitoring and collection mode includes mode parameters for data collection from different categories of sensor nodes.

[0109] The monitoring and collection mode includes an alignment observation mode, a signal collection mode, a group reading response mode and corresponding mode parameters based on which data is collected from the sensor node.

[0110] The laser beam offset variable is a sensor state variable, which is the pulse peak value variable and the corresponding coordinate displacement obtained by the photoelectric coupling array in the window response area at the incident center of the laser beam. ; The pulse peak variable includes the peak intensity Pr (x, y); the coordinate displacement is the initial value of the coordinate relative to this period The offset: .

[0111] The laser beam offset variable refers to the coordinate offset of the laser beam incident center caused by the displacement of the target point, including the window offset variable of the laser beam incident center in the window response area and the distance offset variable of the laser beam direction. The pulse peak value variable includes optical parameter variables used to detect laser beam offset and / or beam distance, such as pulse peak intensity, pulse reception time and reception phase.

[0112] When the maximum value of the intensity distribution P(x,y) appears at a non-boundary coordinate point (Xm,Ym), the intensity peak point is within the window response area; based on the intensity distribution P(x,y) of multiple points near the coordinate point (Xm,Ym) of the maximum value, the laser beam offset variable corresponding to the intensity peak point is obtained by two-dimensional peak fitting calculation.

[0113] The laser beam incident signal is an electromagnetic pulse excitation signal, and the laser sensor obtains the front photoelectric coupling response by passively coupling the electromagnetic pulse excitation signal through a front coupling unit.

[0114] When the maximum value of the intensity distribution P(x, y) appears at the boundary coordinate point (Xm, Ym), the intensity peak point corresponding to the laser beam incident center point is near the outside of the window response area; based on the intensity distribution P(x, y) of multiple points near the coordinate point (Xm, Ym) of the maximum value, the boundary intensity peak point (X1, Y1) and the intensity gradient ▽P(X1, Y1) of the point are obtained by boundary peak fitting calculation, and the peak coordinate deviation vector corresponding to the current laser beam incident center point is inferred.

[0115] The cooperative base station converts the original window displacement collected and uploaded by the laser sensor into the original window displacement according to the window incident angle θ based on the collected data of the laser beam offset variable. Mapping converted to incident surface displacement , and then according to the displacement of the incident surface Mapping the target point displacement converted to a given coordinate system .

[0116] When the incident direction of the laser beam has a window incident angle θ with the receiving window surface, the incident surface displacement ,in is the original window displacement, k is the conversion ratio coefficient given by optical calibration; the incident surface displacement is the actual window displacement or target point displacement after proportional conversion The projection on the incident surface; the incident surface displacement is the projection vector of the displacement vector on the incident surface.

[0117] The cooperative base station converts the displacement variables and inclination variables into combined displacement vector data according to the collected monitoring data uploaded by the far-point and near-point displacement sensor nodes. , the combined displacement vector includes the point displacement vector and / or tilt displacement vector ;

[0118] The cooperative base station obtains the fitting vector distribution of the designated component area by vector fitting and monitor and evaluate the displacement and deformation of the building components through vector analysis.

[0119] The first boundary displacement vector distribution is calculated according to one or a combination of the following methods: :

[0120] Method 1: When the first component or its local component region from the target point to the boundary point i can be regarded as a rigid body, based on the first displacement variable , according to the tilt-shift conversion Calculate the first boundary displacement vector ;

[0121] in is the Z-axis unit vector, is the tilt displacement vector of the first member, is the line vector connecting two points on the first component from the boundary point i to the central target point j;

[0122] Method 2: Based on the displacement variable data collected from a number of discrete target points i on the first component, the displacement fitting vector distribution of the component area is obtained by the vector fitting. , interpolate the boundary point i to obtain the first boundary displacement vector distribution ;

[0123] Method 3: According to the discrete target point i (position ) sets the stiffness correction coefficient, and the displacement vector of the discrete target point i obtained by the acquisition Perform rigid constraint correction, and then according to the corrected displacement vector of discrete target point i , the displacement fitting vector distribution is obtained by the vector fitting .

[0124] The specific implementation process includes the following steps:

[0125] According to the combined displacement vector of the discrete target point i in the local area j That is, the displacement vector and the tilt displacement vector , the position coordinate vector of the central target point j in the local area j is obtained by weighted average The combined displacement vector ;

[0126] The coordinated base station determines the first boundary displacement vector and the relative displacement variable ,according to Calculate the second boundary displacement vector ;

[0127] Then, according to the tilt displacement vector of the second component, the second boundary displacement vector Perform correction calculations, including one or a combination of the following methods:

[0128] Method 1: convert and calculate the tilt displacement vector of the second component according to the dual-axis tilt angle variable collected and uploaded by the tilt sensor node arranged on the second component;

[0129] Method 2: Based on the second boundary displacement vector obtained from multiple boundary points i on the second component , the displacement fitting vector distribution of the corresponding component area is obtained by vector fitting , and calculate the tilt displacement vector of the component area.

[0130] It should be noted that the sensor nodes include at least surface nodes and inner nodes according to their response level attributes.

[0131] The surface node can directly perform two-way wireless communication with the far-field collaborative base station, and can provide data transmission service in the role of a relay node for the sensor state variables sent by the adjacent inner node received by the near-field wireless.

[0132] The surface node is a wireless node in the node array that has the following capabilities: 1) directly and stably receiving wireless excitation signals and wireless synchronous group reading signals sent by the upper group reading host; 2) status data frames uploaded in a wireless synchronous response manner are directly and stably received by the upper group reading host.

[0133] The surface nodes refer to sensor nodes installed on the surface or shallow layer of the target building; the surface nodes include surface-mounted nodes and shallowly buried nodes.

[0134] The inner node refers to a low-power wireless sensor node implanted inside a building component or in a connection gap. The inner node is a sensor node in a node array that cannot directly send response data to a nearby cooperative base station according to the response level attribute.

[0135] When the wireless cooperative base station forms far-field wireless coverage for the target area, the surface node can directly upload a sending status response data frame to the cooperative base station in a far-field wireless manner.

[0136] The penetration capability of the wireless coverage is directionally asymmetric to the inner nodes: the inner nodes can receive wireless coverage signals, but considering wireless attenuation and low power consumption requirements, the deeply buried nodes cannot or should not directly upload and send wireless data to the cooperative base station in a far-field wireless manner.

[0137] The inner nodes obtain low-power power supply through one or a combination of the following methods:

[0138] 1) Active power saving (no charging): ultra-low power consumption and ultra-long battery life can be achieved through wireless stimulus wake-up, asymmetric wireless response communication and power saving mode strategy management;

[0139] 2) Passive excitation induction: stimulated by passive RFID, including being wirelessly stimulated by a group reading host (or relay node), or being induced by an electromagnetic excitation bus.

[0140] The sensor nodes are sensor nodes for collecting and monitoring signals on the surface and inside of a target building object, and include first-type sensor nodes and second-type sensor nodes.

[0141] The first type of sensor is a sensor that collects signals of the first type of sensing state variables, such as an angle sensor and a displacement sensor.

[0142] The second type of sensor is a sensor for collecting signals of the second type of sensing state variables; for example, an internal temperature / humidity sensor, a pressure / stress sensor.

[0143] The second type of sensor nodes includes strain sensors (including strain pressure sensors and stress sensors). When an object is subjected to stress, the vibration frequency of the vibrating string inside the strain sensor will change, and signal acquisition data of the stress / strain sensing state variables of the internal target point will be obtained.

[0144] The first type of deformation refers to the building deformation corresponding to the change of the building's exterior geometric shape; the second type of deformation refers to the change of the building's internal structure deformation, force distribution and other internal physical quantity distribution.

[0145] The geometric shape change includes observable changes in displacement, direction, size and shape of the entire or local components of the building object.

[0146] By collecting data on the overall contour, local displacement variables and directional angle variables of the target building object, the first type of deformation such as building settlement, tilt, lateral displacement, expansion / contraction, bending / deflection, cracks and sudden changes in component gaps are monitored and calculated.

[0147] The first type of sensor state variables refers to the geometric shape variables of the building appearance that can be directly observed; including displacement variables and direction angle variables, such as the change in direction angle, displacement, shape and size.

[0148] The second type of sensor state variables refers to the internal physical variables of the building, including the size, shape, stress and detectable and detectable related physical variables of the internal structure.

[0149] The internal physical variables include deformation, stress, strain, temperature, humidity, heat conduction, vibration, radiation attenuation, etc. inside the building components (including the gaps between component connections).

[0150] The sensor nodes also include sensor nodes for signal acquisition and monitoring of the environment and operating conditions of the target building object, including third-type sensor nodes and fourth-type sensor nodes.

[0151] The third type of sensor is a sensor for signal acquisition and monitoring of building environment state variables; such as: ambient temperature / humidity sensor, light / radiation sensor;

[0152] The fourth type of sensor is a sensor that collects signals and monitors state variables associated with building operating conditions (such as usage level, consumption and energy consumption, etc.).

[0153] The vector fitting is to solve the most suitable vector distribution function based on the vector data of the discrete target points.

[0154] Combined displacement vector of discrete target point i based on target region j , the fitted vector distribution function obtained by vector fitting .

[0155] For building deformation monitoring, discrete target points representative of the outer contour of the target building are selected, and the deformation degree of the outer contour can be calculated and evaluated through displacement vector fitting.

[0156] The vector fitting is to obtain a vector distribution function with the minimum fitting variance for the discrete data point by solving the extreme value of the fitting criterion based on the vector data of the given discrete target point i.

[0157] The vector analysis is the analysis of vector distribution (vector field);

[0158] Vector distribution function based on target area j , the vector change degree and trend in different regions are calculated and evaluated through the vector analysis.

[0159] The vector fitting includes obtaining the peak point of the local variable by peak fitting.

[0160] The peak fitting is a data processing method for obtaining the peak point of a local variable by finding a fitting surface based on the collected data of a number of discrete target points i.

[0161] During the peak fitting process, when the maximum value point appears in a non-boundary area, there must be a variable peak point near the maximum value point.

[0162] When the maximum value point appears at the boundary, the boundary peak point and the gradient of the point are obtained by boundary peak fitting calculation, and the variable peak point near the outside of the area is inferred.

[0163] The inclination angle variable θ is the angle between the reference plane of the target object and the horizontal plane.

[0164] The inclination angle variable θ includes an X inclination angle and a Y inclination angle, which are the angles between the reference reference plane of the target object and the X axis and the Y axis of the horizontal plane, respectively.

[0165] The tilt angle variable θ can be expressed as an offset angle of a reference reference plane relative to a coordinate axis direction when the target object is tilted.

[0166] The reference reference plane is a reference plane parallel to a horizontal plane when the target object is not tilted.

[0167] The inclination angle variable θ is a direction angle variable that expresses the degree of inclination of the target object; the direction angle variable is used to express the spatial direction of a straight line, a plane, or an object in a spatial domain;

[0168] The direction angle variable may be expressed in the form of a unit direction vector.

[0169] The direction angle variable is the offset angle of the reference direction of the target object relative to the current coordinate axis direction; the direction angle variable includes an inclination variable and an azimuth variable in a three-dimensional coordinate system.

[0170] The combined displacement vector is the displacement vector from the point and the tilt displacement vector The combined vector.

[0171] The combined displacement vector Used to express the translation and tilt angle of the unit area (as a rigid body unit) near the target point; by fitting the vector distribution Vector analysis was performed to evaluate local deformation of the building.

[0172] The combined displacement vector includes a vector composed of multiple generalized displacement vectors; the generalized displacement vector refers to a position change vector field of any physical quantity related to building deformation based on the position coordinate distribution. If the physical quantity is a scalar, the position change vector field is a scalar gradient vector field.

[0173] The combined displacement vector includes a fitting vector distribution consisting of the second type of sensor state variables , and perform vector analysis on the fitting vector distribution to obtain the second type of deformation.

[0174] In the actual implementation process, when the second type of sensor state variable is a scalar, the scalar field distribution is first obtained by data fitting, and then the gradient fitting vector of the scalar field distribution is calculated, and the second type of deformation is obtained by vector analysis of the gradient fitting vector distribution.

[0175] The point displacement vector That is, the displacement vector of the target point.

[0176] The tilt displacement vector is the horizontal displacement vector of the unit vertical vector near the target point. The tilt displacement vector reflects the tilt change degree of the infinitesimal unit area represented by the target point.

[0177] The tilt displacement vector is a normal vector (upward) of the reference reference plane of the target object, and is a horizontal projection vector on the XY horizontal plane of the coordinate system when tilt occurs.

[0178] The inclination angle variable θ can be converted into a tilt displacement vector , which facilitates the evaluation of local building deformation through vector analysis.

[0179] The synchronous group read signal is a wireless synchronization signal that includes (or guides) a synchronous group read data frame.

[0180] The group reading host and a plurality of group reading cluster machine nodes perform wireless data communication in a group reading response mode. The group reading cluster machine nodes upload a state response data frame containing one or more sensor state variables according to the received synchronous group reading signal and the specified response mode parameters.

[0181] The synchronous group read data frame includes group read instruction information for a target group read node.

[0182] The group reading instruction information is instruction information for enabling the slave nodes being group read to obtain execution feedback mode parameters; the execution feedback mode includes signal acquisition mode parameters, sensor state variable processing parameters, and response channel time slot parameters.

[0183] The node array includes sensor nodes as relay nodes, and the relay nodes can serve as temporary group reading hosts to serve adjacent wireless group reading cluster nodes.

[0184] The relay node uploads the state variable data received from the adjacent group reading cluster node to the upper group reading host when the relay transmission conditions are met.

[0185] The vector divergence refers to the displacement divergence (displacement vector divergence); the displacement divergence Including point displacement divergence and / or dip displacement divergence .

[0186] The tilt-shift divergence It is a physical quantity reflecting the local change rate of the tilt displacement vector.

[0187] For a given overall area, any coordinate axis direction that is convenient for measurement and calculation can be selected, or the relative tilt displacement vector based on the tilt displacement vector of the current overall area can be used to obtain the same tilt displacement divergence. .

[0188] The displacement divergence That is, the vector divergence of the displacement field, reflecting the displacement vector The physical quantity of the local rate of change. The displacement divergence It is a geometric shape variable, representing the displacement vector per unit area or volume The rate of change.

[0189] Determine the degree of deformation of the area near the coordinate point based on the displacement divergence assessment, including expansion / contraction, bending / deflection, cracking / mutation, divergence / convergence and other deformations;

[0190] By integrating the displacement divergence of the local area, the overall deformation degree of the local area (area or volume) is evaluated and judged.

[0191] The tilt displacement vector may be replaced by a direction tilt displacement vector (or a generalized tilt displacement vector); the direction tilt displacement vector refers to a projection vector of its reference direction unit vector on its normal plane when the direction deviates (equivalent to tilt).

[0192] The tilt displacement vector It can be expressed as a relative tilt displacement vector; the relative tilt displacement vector refers to the tilt displacement vector of the local area or target point relative to the tilt displacement vector of the entire area The vector difference of the tilt displacement vector Can be decomposed into X component and Y component.

[0193] The fitting criterion is a criterion for examining the degree of vector fitting deviation based on weighted least squares calculation.

[0194] According to the fit criterion , by minimizing δ, we can solve the fitted vector distribution function , where A(i) is the unit area weight corresponding to the i-th discrete target point i. The weight A(i) is proportional to or positively correlated with the area or volume of the unit area represented by the discrete target point i.

[0195] The fitted vector distribution function to be solved can usually be Let it be a quadratic function with undetermined coefficients.

[0196] Example 3, for the aforementioned reference Figure 1 The implementation of the flowchart steps is further described as follows:

[0197] When the response signal of the laser sensor to the incident pulse signal of the laser beam reaches a certain threshold based on the front passive photoelectric coupling, the laser sensor enters a shallow dormant state allowing radio frequency reception.

[0198] The laser sensor is awakened by a wireless excitation signal in the shallow sleep state and enters a low-power standby mode, waiting to be triggered by a wireless synchronization signal; after the laser sensor receives the synchronous group read signal sent by the collaborative base station, it starts collecting and uploading the laser beam offset variable according to the collection mode parameters contained in the synchronous group read signal.

[0199] The laser sensor is an ultra-low power consumption wireless device based on transient excitation wake-up (operating at an ultra-low time slot duty cycle and consuming power only in the transient signal acquisition time slot). Before the receiving window of the laser sensor receives the incident laser beam, the internal antenna excitation coupling unit and / or the RF front end are in a passive state (i.e., the power is turned off) or a deep sleep state with the RF reception turned off.

[0200] When and only when the incident intensity of the laser beam causes the front photoelectric coupling response signal obtained by the laser sensor to reach a certain threshold, the antenna excitation coupling unit and / or the RF front end are triggered to be turned on and enter a shallow sleep state allowing RF reception. The laser sensor obtains the front photoelectric coupling response signal (such as the amplified and / or integrated output signal of the passive signal) based on the passive (or ultra-low power consumption) front coupling unit.

[0201] The laser sensor is an active node (with a disposable ultra-long battery life) and consumes power only in the signal acquisition time slot after being awakened by transient excitation (with an ultra-low working time slot duty cycle); the signal acquisition time slot at least includes the cycle time of synchronous sampling, acquisition calculation and wireless response communication.

[0202] The cooperative base station collects data and adjusts the mode of sensor nodes in different local areas in a wireless excitation group reading manner; after being stimulated and awakened, the sensor node adjusts the monitoring and collection mode and parameters of its own node according to the received synchronous group reading data frame sent by the cooperative base station;

[0203] The sensor node sends a state response data frame including the sensor state variable in a specified group read response mode according to the group read identifier included in the synchronous group read signal.

[0204] The first type of sensor node includes a laser beam displacement sensor node, and the displacement sensor node includes a laser sensor pre-buried on the surface of the target area component and a laser transmitter installed at an observation point.

[0205] The collaborative base station wirelessly controls the laser transmitter to emit a laser beam toward a target point of one or more laser sensor nodes in the local area in a specified alignment observation mode; the alignment observation mode is a mode parameter for the laser transmitter to switch the alignment observation to the target point in the target area.

[0206] The laser sensor tracks and monitors the displacement of the target point in stages, and uploads the laser beam offset variables of the current stage and different stages according to the group reading instruction information sent by the cooperative base station, which are included in the status response data frame uploaded and sent by the laser sensor.

[0207] Before starting a new fixed-point tracking monitoring, the emission attitude direction parameters of the laser transmitter are adjusted and aligned so that the initial coordinates of the target point in this period after the adjustment and alignment are Align the initial coordinate range that enters the viewport response area.

[0208] The collaborative base station selects whether to start a new fixed-point tracking and monitoring by judging whether the peak coordinates currently collected and calculated exceed the allowable deviation range in the window response area: when the peak coordinates (x, y) exceed the allowable deviation range in the window response area, the collaborative base station wirelessly controls the laser transmitter to perform a new adjustment and alignment to start a new fixed-point tracking and monitoring.

[0209] The cooperative base station sends a correction parameter to the laser transmitter through wireless control according to the laser beam offset variable collected and uploaded by the laser sensor currently received, so as to adjust and align the emission attitude direction of the laser transmitter;

[0210] The laser transmitter adjusts the emission attitude direction parameters through feedback based on the received correction parameters to achieve the adjustment and alignment of the paired target point, so that the initial coordinates of the current period corresponding to the target point after the adjustment and alignment are Align the initial coordinate range that enters the viewport response area.

[0211] The far-point displacement sensor is a laser beam displacement sensor, which includes a laser sensor embedded in the surface of the target area component and a laser transmitter installed at the observation point;

[0212] The cooperative base station wirelessly controls a laser transmitter installed at an observation point to adjust and align the laser beam emitted by the laser transmitter with a receiving window of a laser sensor pre-buried on the first component according to an alignment observation mode of the component area;

[0213] The cooperative base station periodically collects the laser beam offset variable uploaded by the laser sensor through wireless excitation group reading, and obtains the first displacement variable through mapping conversion , the displacement of the target point on the surface of the component area is tracked and monitored.

[0214] The laser sensor tracks and monitors the displacement of the target point in stages, and uploads the laser beam offset variables of the current period or different periods according to the group reading instruction information sent by the cooperative base station, which are included in the status response data frame uploaded and sent by the laser sensor.

[0215] The laser transmitters installed at at least two different observation points aim at the laser sensors at the same or different target points in the same target area with different laser beam emission directions, and the cooperative base station collects the laser beam offset variables of different incident directions. , the incident surface displacements in different directions are obtained through mapping transformation , and then displace the incident surface The three-dimensional displacement vector of the target point in the specified coordinate system is synthesized by multi-directional mapping transformation ; The incident surface displacement refers to the projection vector of the displacement vector on the incident surface.

[0216] The near-point displacement sensor is a wireless magnetic field sensor. Based on the received synchronous group read data frame sent by the cooperative base station, the magnetic field sensor detects the direction of the excitation magnetic induction intensity of the adjacent area through the magnetic field detection module in a specified signal acquisition mode to calculate the excitation calibration angle offset; the excitation calibration angle offset is the angle offset of the excitation calibration direction of the excitation magnetic field in the adjacent area relative to the reference direction of the magnetic field sensor itself;

[0217] The cooperative base station performs correction calculation on the relative angle offset between the reference direction of the magnetic field sensor itself and the first component and / or the second component according to the excitation calibration angle offset.

[0218] During the fixed-point tracking monitoring of the target point, when the peak coordinate (x, y) exceeds the allowable deviation range, according to the current peak coordinate Relative to the initial coordinates of the adjustment target for this period The offset The correction parameter ΔX(i) is calculated and fed back to the laser transmitter for adjustment and alignment.

[0219] According to the current inertial displacement speed corresponding to the current target point displacement and displacement acceleration (if a large acceleration displacement occurs), the time interval ΔT of the sliding timing adjustment mode is set so that the peak coordinates of the expected next acquisition calculation are still within the window response area.

[0220] It should be explained in the above embodiment that the incentivized group reading is a process of first incentivizing the target group reading node and then performing group reading.

[0221] The wireless group reading host uses the wireless excitation group reading to wake up the target group reading node through the wireless excitation group reading, and then receives the synchronous group reading signal sent by the group reading host.

[0222] When the wireless collaborative base station, as the upper group reading host, receives a response data frame sent by an inner node within the specified synchronous group reading cycle, it immediately updates the code domain channel identifier in the group reading identifier so that the inner node no longer belongs to the group reading code domain range; conversely, the adjacent surface node, as a relay node, when it is judged that the relay transmission conditions are met, uploads the received sensor state variables of the adjacent inner node to the collaborative base station according to the code domain channel identifier.

[0223] The sensor node collects signals of the sensor state variables in the signal collection time slot after being triggered to wake up, and the triggering and waking up includes any one or a combination of the following methods:

[0224] Mode 1: wireless excitation awakening, the sensor node receives a coupling response to a wireless low-frequency excitation signal sent by a wireless cooperative base station and is awakened by the wireless excitation;

[0225] Mode 2: electromagnetic excitation awakening: the sensor node, as a magnetic sensing node, generates an electromagnetic induction signal in response to the magnetic field changes in the adjacent area to obtain electromagnetic excitation awakening;

[0226] Mode three, timed trigger wake-up, the sensor node uses a sliding timing adjustment method to periodically trigger wake-up of its own node based on the currently given signal acquisition mode parameters.

[0227] The trigger awakening refers to a sensor node in a low power consumption state being awakened by a trigger signal and / or a trigger condition (including a timer).

[0228] The trigger signal includes a wireless excitation signal, an electromagnetic excitation signal, an analog trigger signal, a level / edge trigger signal, etc.

[0229] The wireless sensor node sends a response data frame in a certain high-frequency response channel time slot assigned and designated; and waits to receive a synchronization data frame subsequently sent by the group reading host within a specified time;

[0230] The sensor node determines whether the group reading host has received the response data frame previously sent by itself by identifying the synchronization multiple selection code contained in the synchronization data frame.

[0231] The wireless sensor node selects different state response modes to upload state response data frames containing sensor state variables based on the state transition degree of the sensor variables collected in the current period; the state response modes include passive response mode and / or active response mode.

[0232] The passive response mode is to passively upload the status data frame according to the designated response channel time slot allocated by the group reading host (cooperative base station).

[0233] The active response mode is that the wireless sensor node actively uploads the status response data frame according to its own node status and / or predetermined timing. The sensor node obtains idle channel time slots and / or random channel time slots through time slot detection, and then uploads the status response data frame in the active response mode.

[0234] When the state transition degree has not reached the specified state transition condition, only allowing the sensor node to upload the node state data frame in the passive response mode;

[0235] When the state transition degree reaches a specified state transition condition, the sensor node is allowed to upload the node state data frame in the passive response mode and / or the active response mode.

[0236] The sensor node starts channel scanning according to the state priority corresponding to the current state transition degree, and actively uploads the state data frame when determining that a certain channel is idle.

[0237] The sensor node is a passive node that can couple and store energy for low-frequency excitation signals and trigger the process of enabling sensor signal acquisition and processing and wireless data communication. The low-frequency excitation signal is a wireless energy modulation signal with high penetration to building components transmitted in a low-frequency excitation channel.

[0238] The passive node performs energy storage conversion on the coupled received electromagnetic induction signal (based on its internal energy storage conversion module) to obtain a transient power supply for the wireless communication module.

[0239] The energy storage conversion module is a module composed of passive devices (including capacitor storage units), and obtains a regulated voltage output of a transient power supply through energy storage conversion.

[0240] The passive node obtains the electromagnetic induction signal by coupling and receiving the electromagnetic excitation signal in the adjacent area, and converts the electromagnetic induction signal into transient passive energy storage for providing transient power supply to the wireless communication module.

[0241] The transient passive energy storage refers to a passive energy storage module composed of passive components, which inputs the electric energy of the electromagnetic induction signal and obtains a transient power supply output through a delay storage circuit.

[0242] The laser transmitter is a beam-type observation device installed at an observation point;

[0243] The beam observation device performs optical beaming (transmitting or receiving) with the currently paired sensor node so that the system obtains the coordinate displacement (or angle displacement) of the target point. During fixed-point tracking monitoring, the beam observation device of one observation point is only aimed at the paired sensor node of one target area.

[0244] Through regression adjustment or scanning excitation methods, quickly find or try to aim at the specified sensor node in the target area.

[0245] Before starting a new period of fixed-point tracking and monitoring, the attitude direction parameters of the beam observation device are adjusted to perform beam adjustment and calibration (i.e., align with the paired sensor node); during the fixed-point tracking and monitoring, the emission attitude direction is kept unchanged until a new period of beam adjustment and calibration is required; or it is switched to pairing and aligning with other sensor nodes and performing fixed-point tracking and monitoring on them.

[0246] The attitude and direction parameters are parameters that describe the attitude and direction of the through-beam observation device pointing to the target area / target point to be measured.

[0247] The emission attitude direction parameters include the emission direction angle and the emission divergence angle.

[0248] The emission direction angle refers to the direction angle of the laser beam emission center axis vector, including the emission elevation angle (or inclination angle) and the horizontal azimuth angle.

[0249] The emission divergence angle is a divergence angle corresponding to the maximum deviation of the emission direction angle allowed for the laser beam to effectively excite the target point.

[0250] The launch attitude direction parameters also include the launch height and horizontal offset of the launch window center point.

[0251] The emission height refers to the height of the center point of the laser emission window; the emission height is adjusted by stepping the height of the gimbal and / or the relative height of the laser emission window.

[0252] The laser transmitter adjusts the emission attitude direction parameter to equivalently adjust the incident attitude direction parameter of the laser beam to the target point.

[0253] The incident posture direction parameters include the incident direction angle, incident divergence angle, window incident angle and component incident angle of the laser beam.

[0254] The window incident angle and the component incident angle are respectively the angles formed by the incident direction of the laser beam and the axial direction of the receiving window and the normal direction of the surface of the building component.

[0255] The incident direction angle refers to the direction angle of the incident axis vector of the laser beam; the incident divergence angle refers to the divergence angle corresponding to the maximum deviation of the incident direction angle allowed for the laser beam to effectively excite the target area.

[0256] The effective excitation means that when the laser beam is incident, an effective front photoelectric coupling response can be obtained, and the laser sensor can be effectively triggered and enabled when in a deep sleep state; the laser sensor obtains the front photoelectric coupling response through a front photoelectric coupling unit.

[0257] The receiving attitude direction parameters include a receiving direction angle, a window incident angle and a receiving viewing angle range.

[0258] Example 4, for the aforementioned reference Figure 1 The implementation of the flowchart steps is further described as follows:

[0259] While the target point is being tracked and monitored at a fixed point while maintaining the laser beam emission attitude and direction parameters unchanged, the collaborative base station triggers the laser sensor to be wirelessly stimulated and awakened each time in the sliding timing adjustment mode, and then starts to collect and monitor the laser beam offset variables uploaded by the laser sensor in a wireless synchronous group reading mode.

[0260] The coordinated base station or laser sensor obtains the peak coordinates obtained by the current acquisition. Relative to the initial coordinates of this period The offset of this period is used to calculate the coordinate displacement of this period. , and calculate the tangential displacement of the target point along the component surface through mapping transformation .

[0261] The cooperative base station adjusts and aligns the emission attitude direction parameters of the laser transmitter by one or a combination of the following methods:

[0262] Method 1: regression adjustment: directly indexing the effective calibration value or historical parameter of the launch attitude direction parameter, and regression adjusting the launch attitude direction;

[0263] Method 2, posture correction: based on the offset of the currently collected peak coordinates, the posture correction parameters are sent to the laser transmitter, and the emission posture direction is adjusted by feedback;

[0264] Method three, scanning excitation: If the laser beam cannot be incident and aligned into the window response area at present, laser scanning excitation is performed on several sensor nodes in the target area to find and collect the peak coordinate deviation vectors of different target points, and the emission attitude direction parameters are adjusted based on the peak coordinate deviation vector feedback to make the laser beam incident and aligned into the window response area.

[0265] When the laser beam is incident beyond the window response area, the cooperative base station wirelessly controls the laser transmitter to adjust and increase the emission divergence angle of the laser beam emission attitude direction parameter, so that the laser sensor covered by the scan is effectively stimulated.

[0266] When the cooperative base station adjusts the emission divergence angle by wirelessly controlling the laser transmitter to adjust its optical focusing module, the peak coordinates of the current acquisition are After aligning the initial coordinate range of the window response area, adjust and reduce the emission divergence angle and perform necessary posture correction (if the peak coordinate Beyond the initial coordinate range of the window response area) to improve the optical resolution accuracy of the laser beam offset variable.

[0267] The cooperative base station adjusts the laser beam emission direction angle by wirelessly controlling the laser transmitter, and obtains the boundary peak intensity Pi and peak coordinates (X(i), Y(i)) collected and uploaded by the i-th laser sensor node by laser scanning excitation of N laser sensor nodes in the target area, where i∈[1,N];

[0268] If one of the laser sensors obtains effective excitation for multiple adjacent emission direction angles, the collaborative base station obtains the peak coordinates (X(i), Y(i)) corresponding to the laser beam incident center and the corresponding laser beam emission direction angle through two-dimensional peak fitting based on the boundary peak intensities Pi and peak coordinates collected at multiple emission direction angles.

[0269] When the target area is scanned by laser to find and collect the peak coordinate deviation vector of a certain sensor node, the peak point of the boundary intensity of the window response area is The peak intensity P1 and intensity gradient ▽P(X1,Y1) are used to calculate the peak coordinate deviation vector : , where Pr is the expected peak intensity of the laser beam at the incident center.

[0270] The cooperative base station performs multi-point tracking and monitoring of target points corresponding to multiple laser sensor nodes in a target area through multi-point switching control, and collects the coordinate displacement of each target point respectively. , where i∈[1,N];

[0271] The cooperative base station is based on the displacement speed Calculate and correct the current coordinate displacement of the i-th target point: , where ΔT is the multi-point monitoring time accumulated for all N target points in this period, and Δt(i) represents the fixed-point monitoring time for the i-th target point in this period.

[0272] The cooperative base station dynamically adjusts the time proportion Δt / ΔT of the fixed-point monitoring time Δt of different target points relative to the multi-point monitoring time based on the state comparison evaluation of the displacement state variables of the multiple laser sensor nodes.

[0273] The displacement state variable is a cumulative state variable for tracking and monitoring the displacement of the target point, including one or a combination of the following variables: 1) the displacement of this period Its displacement speed , 2) Multi-period cumulative displacement Its average displacement velocity , where the multi-period cumulative displacement The corresponding cumulative monitoring time ΣΔt can be obtained by iterative accumulation in stages.

[0274] The cooperative base station controls and adjusts a certain laser transmitter to perform multi-point tracking and monitoring of multiple laser sensor nodes in the target area, and controls and adjusts at least one different laser transmitter to perform fixed-point tracking and monitoring of at least one laser sensor node therein;

[0275] The cooperative base station compares and evaluates the displacement state variables collected by multiple laser sensor nodes. When it is determined that the displacement state variable uploaded by a certain laser sensor node reaches a certain abnormal state condition, the laser sensor node is preferentially adjusted and switched to fixed-point tracking monitoring.

[0276] It should be noted that for the above embodiment, when the cooperative base station performs laser scanning excitation on the target area by wirelessly controlling the laser transmitter, after each adjustment of the emission attitude direction parameters, the laser scanning excitation signal sent by the laser transmitter includes a laser scanning synchronization signal.

[0277] The scanning synchronization signal includes a scanning synchronization mark; the scanning synchronization mark includes a scanning sequence code corresponding to the current transient emission posture of the laser beam.

[0278] After the laser sensor is stimulated and awakened, it starts collecting laser sensor variables corresponding to a certain laser beam posture direction according to the laser scanning synchronization signal.

[0279] Embodiment 5, the embodiment of the present invention further discloses a laser wake-up type building displacement monitoring device, the device, namely the laser beam displacement sensor, comprises a laser transmitter installed at a reference point and a low-power wireless laser sensor pre-buried at a distributed target point in a target building area; after the wireless cooperative base station in the wireless sensor network for building monitoring controls the laser transmitter to emit a laser beam through wireless synchronous control, the laser beam offset variable uploaded by the laser sensor is collected in a wireless group reading manner, and the displacement of a target point in a certain observable target area on the surface of a certain building component is tracked and monitored;

[0280] Please refer to Figure 2 , the laser sensor 200 is composed of the following modules:

[0281] Pre-response module 201: used to respond to the laser beam incident signal through the pre-photoelectric coupling when the receiving response reaches a certain threshold, so that the module enters a shallow dormant state allowing radio frequency reception;

[0282] The excitation awakening module 202 is used for awakening the receiving window by wireless excitation in a shallow sleep state when the laser beam emitted by the laser transmitter is incident on the receiving window, and starting to collect the laser beam incident signal according to the received wireless synchronous group read signal sent by the cooperative base station;

[0283] Coupling acquisition module 203: used to couple and acquire the laser beam incident signal through a photoelectric coupling array in a synchronous sampling period to obtain a laser beam incident offset variable corresponding to an intensity peak point corresponding to the laser beam incident center;

[0284] The response sending module 204 is used to send the laser beam offset variable contained in the status response data frame to the cooperative base station by wireless response. The cooperative base station tracks and monitors the displacement of the target point through mapping conversion calculation based on the collected laser beam offset variable.

[0285] The implementation of the above modules is further explained as follows:

[0286] The coupling acquisition module 203 converts the incident signal of the laser beam entering the receiving window into a two-dimensional intensity distribution P(x, y) of the window response area; based on the two-dimensional intensity distribution P(x, y), a two-dimensional peak fitting calculation is performed to obtain a laser beam offset variable corresponding to the intensity peak point corresponding to the incident center of the laser beam;

[0287] See also Figure 3 , the coupling acquisition module 203 is composed of the following units:

[0288] Photoelectric coupling array 2031: used to convert the incident laser beam signal entering the receiving window and being optically processed (such as optical filtering and focusing) into a photoelectric coupling signal;

[0289] The filtering sampling unit 2032 performs high-frequency bandpass filtering on the photoelectric coupling signal according to the pulse frequency of the laser beam incident signal, outputs a filtered sampling signal, and further filters and removes the collection signal of the photoelectric coupling signal that responds to the background radiation on the basis of optical filtering;

[0290] Scanning acquisition unit 2033: Scans and selects the coupling conversion units in the photoelectric coupling array by sending a scanning selection signal to output the photoelectric coupling signals of different units in a time-sharing manner, and performs A / D acquisition on the filtered sampling signal to obtain a two-dimensional intensity distribution corresponding to the photoelectric coupling array.

[0291] The photoelectric coupling array is a low-power module (small-scale, low-resolution dot matrix) that can be awakened transiently by its front passive photoelectric response unit. The laser beam offset variable is the peak coordinate corresponding to the peak intensity Pr (x, y) obtained by the incident center of the laser beam in the window response area corresponding to the laser sensor photoelectric coupling array. and coordinate displacement .

[0292] At least two laser transmitters at different observation points are installed to aim different laser beam emission directions at the laser sensor at the same or different target points in the same target area, and the cooperative base station collects the laser beam offset variables of different incident directions. , the incident surface displacements in different directions are obtained through mapping transformation , and then displace the incident surface The three-dimensional displacement vector of the target point in the specified coordinate system is synthesized by multi-directional mapping transformation ; The incident surface displacement refers to the projection vector of the displacement vector on the incident surface.

[0293] Please refer to Figure 4 , a schematic diagram of the alignment observation of the laser beam displacement sensor, including the alignment emission direction setting of the laser transmitter installed at the observation point to the laser sensors at several target points and the multi-directional mapping conversion relationship;

[0294] Among them, the laser transmitters of observation point 1 and observation point 2 are simultaneously (cooperating) performing fixed-point tracking and monitoring on a target point Ti; through multi-point switching control, multi-point tracking and monitoring can be performed on multiple target points T1..., Ti..., Tn;

[0295] The observation point 1 and the observation point 2 form two different observation directions with the current target point Ti respectively. , , using the multi-directional mapping transformation to calculate the three-dimensional displacement vector of the target point Ti in the specified coordinate system .

[0296] Assume that the normal unit vectors of the incident surface in the two observation directions are and , then the three-dimensional displacement vector The projection vectors on the two incident planes are: , ; Based on the known displacement of the incident surface , , the three-dimensional displacement vector of the target point Ti can be solved .

[0297] It should be noted that the sensor nodes are provided with far-field wireless coverage by at least one cooperative base station; during the wireless excitation group reading process of the cooperative base station, the direction of the wireless coverage is asymmetric.

[0298] The collaborative base station can directly perform two-way wireless communication with the surface nodes of the target area, but can only provide one-way wireless coverage (at least one-way low-frequency wireless excitation) to some or all inner nodes of the target area and cannot directly perform two-way wireless communication.

[0299] When the collaborative base station can only provide one-way wireless coverage for some or all inner nodes (due to differences in wireless coverage distance or node pre-buried depth), the inner nodes, after being awakened by low-frequency wireless excitation, actively or passively select adjacent surface nodes as one-way relay nodes for uploading their status responses.

[0300] In the signal collection process, the target point is the measured point in the target area pointed by the sensor node signal collection; in the data processing process, the target point can refer to the discrete point of the acquired collection data.

[0301] The observation point is a relative reference point for aligning and observing the displacement of the target point; the observation point is a reference point for determining the coordinate position, elevation and plane position during the monitoring process of the target building.

[0302] The observation point is a relative reference point, which is usually selected at a location with a stable foundation, convenient for monitoring and unaffected, and far away from the deformation area.

[0303] The cooperative base station enables the observation device and the sensor node currently triggered to wake up to collect signals in a synchronous and cooperative manner through synchronous control, and uploads the collected sensor state variables to the wireless cooperative base station.

[0304] The observation device serves as a wireless node, and the cooperative base station performs wireless synchronization control on the observation device node and the matching sensor node by sending synchronization data frames.

[0305] The observation device is a built-in or attached device of the cooperative base station, and the cooperative base station directly performs synchronous control on the observation device in a wired or wireless manner.

[0306] In the actual implementation process, the device is a computer device as a wireless node, and the computer processor implements the data calculation and processing of the aforementioned embodiment flow by executing computer instructions. The calculation and processing includes the calculation and processing independently undertaken by the node device itself, or implemented by its upper base station or host through collaborative calculation.

[0307] For several terms involved in the above embodiments, further explanations are as follows:

[0308] The excitation signal is a signal that enables the target object to obtain energy excitation and excitation awakening; the excitation awakening is triggered by receiving the excitation signal.

[0309] The collection and monitoring includes data collection, calculation, processing, monitoring and evaluation of target variables.

[0310] The tracking monitoring refers to a monitoring method that continuously observes and samples the target variable (usually started intermittently with low power consumption); the observation posture and mode parameters are adjusted when necessary according to the state of the target variable.

[0311] The tracking monitoring refers to a monitoring method that continues the current observation sampling based on the historical records of the target variable; the state of the target variable is often monitored in a cumulative or iterative manner.

[0312] The monitoring evaluation or evaluation monitoring is a computational processing process based on the monitoring collected data: the collected multiple / multi-point target variables are evaluated and calculated according to a specified algorithm model to obtain the key variable status for comparison with the preset indicators;

[0313] It should be noted that monitoring and evaluation are not a single sequential process. Evaluation needs to be based on monitoring and collected data, and the monitoring method is adjusted based on the results of the evaluation. Evaluation calculations are also part of the monitoring process.

[0314] Obviously, the above embodiments are merely examples for clear explanation, and are not limitations on the implementation methods. For ordinary technicians in the relevant field, other different forms of changes or modifications can be made on the basis of the above description. These should also be regarded as the scope of protection of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. It is not necessary and impossible to list all the implementation methods here. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims. The obvious changes or modifications derived from this are still within the scope of protection created by the present invention.

Claims

1. A laser wake-up building displacement monitoring method, characterized in that: After the wireless cooperative base station emits a laser beam through the laser transmitter of the wireless control observation point, it collects the laser beam offset variable uploaded by the low-power laser sensor node embedded in the target point in a wireless group reading manner, and tracks and monitors the displacement of the target point on the surface of the building component. The specific steps include: When the laser sensor receives a response to the effective excitation of the laser beam incident signal based on the front passive photoelectric coupling and reaches a certain threshold, the laser sensor enters a shallow dormant state allowing radio frequency reception through the front photoelectric coupling response; when the cooperative base station performs laser scanning excitation on the target area by wirelessly controlling the laser transmitter, the laser scanning excitation signal sent by the laser transmitter includes a laser scanning synchronization signal after each adjustment of the emission attitude direction parameter; The laser sensor is awakened by wireless stimulation in the shallow sleep state, and starts collecting the laser beam incident signal according to the wireless synchronous group read signal received from the cooperative base station; The laser sensor couples and collects the laser beam incident signal through a photoelectric coupling array during a synchronous sampling period to obtain a laser beam incident offset variable corresponding to the laser beam incident center, wherein the laser beam incident offset variable refers to a coordinate offset of the laser beam incident center caused by a target point displacement, including a window offset variable in a window response area with respect to the laser beam incident center and a distance offset variable in a laser incident direction; The laser sensor sends the laser beam offset variable to the cooperative base station in a wireless synchronous response manner, and the cooperative base station tracks and monitors the displacement of the target point through mapping conversion calculation based on the laser beam offset variable; the cooperative base station controls and adjusts a certain laser transmitter to perform multi-point tracking and monitoring of multiple laser sensor nodes in the target area, and at the same time controls and adjusts at least one different laser transmitter to perform fixed-point tracking and monitoring of at least one laser sensor node therein.

2. The laser wake-up building displacement monitoring method according to claim 1, characterized in that: The laser sensor is arranged on the building component of the target area in a pre-embedded or surface-mounted manner, and receives the laser beam incident signal through a receiving window on the surface of the building component; The laser beam offset variable is a pulse peak value variable and a corresponding coordinate displacement obtained by the photoelectric coupling array at the incident center of the laser beam in the window response area; the pulse peak value variable includes an optical parameter variable for detecting the laser beam offset and / or beam distance.

3. The laser wake-up building displacement monitoring method according to claim 1, characterized in that: The laser beam incident signal is an electromagnetic pulse excitation signal, and the laser sensor obtains the pre-photoelectric coupling response by passively coupling the electromagnetic pulse excitation signal through a pre-coupling unit; The photoelectric coupling array is a low-power module that can be awakened transiently by the response signal of the front passive photoelectric coupling; when and only when the incident intensity of the laser beam causes the response signal of the front photoelectric coupling obtained by the laser sensor to reach a certain threshold, it triggers the antenna excitation coupling unit and / or the radio frequency front end to be turned on, and enters a shallow sleep state allowing radio frequency reception.

4. The laser wake-up type building displacement monitoring method according to claim 1, characterized in that: Based on the collected data of the laser beam offset variable, the collaborative base station converts the window displacement map collected and uploaded by the laser sensor into the incident surface displacement through the mapping conversion according to the window incident angle, and then converts it into the target point displacement of a given coordinate system according to the incident surface displacement map.

5. The laser wake-up type building displacement monitoring method according to claim 1, characterized in that: The laser sensor is awakened by a wireless excitation signal in the shallow sleep state and enters a low-power standby mode, waiting to be triggered by a wireless synchronization signal; after receiving the synchronous group read signal sent by the cooperative base station, the laser sensor starts collecting the laser beam offset variable.

6. The laser wake-up building displacement monitoring method according to claim 1, characterized in that: The laser sensor tracks and monitors the displacement of the target point in stages, and uploads the laser beam offset variables of the current stage and different stages; Before starting a new fixed-point tracking monitoring, the emission attitude direction parameters of the laser transmitter are adjusted and aligned first, so that after the adjustment and alignment, the initial coordinates of the target point in this period are aligned with the initial coordinate range entering the window response area.

7. The laser awakening building displacement monitoring method according to any one of claims 1 to 6, characterized in that: The cooperative base station sends a correction parameter to the laser transmitter through wireless control according to the laser beam offset variable collected and uploaded by the laser sensor currently received, so as to adjust and align the emission attitude direction of the laser transmitter; The laser transmitter adjusts the emission attitude direction parameters through feedback based on the received correction parameters to achieve adjustment alignment of the paired target point, so that the initial coordinates of this period after the adjustment alignment are aligned to enter the initial coordinate range of the window response area.

8. The laser awakening building displacement monitoring method according to any one of claims 1 to 6, characterized in that: During the fixed-point tracking and monitoring of the target point under the condition of maintaining the laser beam emission attitude direction parameters unchanged, the cooperative base station triggers the laser sensor to obtain wireless excitation wake-up each time in a sliding timing adjustment manner, and then starts to collect and monitor the laser beam offset variable uploaded by the laser sensor in a wireless synchronous group reading manner; The laser beam offset variable is the peak coordinate and coordinate displacement corresponding to the peak intensity obtained by the incident center of the laser beam in the window response area corresponding to the photoelectric coupling array; The coordinate displacement of this period is calculated based on the offset of the peak coordinates obtained from the current acquisition relative to the initial coordinates of this period.

9. The laser awakening building displacement monitoring method according to any one of claims 1 to 6, characterized in that: When the laser beam is incident beyond the window response area, the cooperative base station wirelessly controls the laser transmitter to adjust and increase the emission divergence angle of the laser beam emission attitude direction parameter, so that the laser sensor covered by the scan is effectively stimulated; The effective excitation means that an effective front photoelectric coupling response is obtained when the laser beam is incident, and the laser sensor is effectively triggered and enabled when in a deep sleep state; the laser sensor obtains the front photoelectric coupling response through a front passive photoelectric coupling unit; When the collaborative base station adjusts the emission divergence angle by wirelessly controlling the laser transmitter so that the currently collected peak coordinates are aligned with the initial coordinate range entering the window response area, the emission divergence angle is adjusted to be smaller and necessary posture correction is performed to improve the optical resolution accuracy of the laser beam offset variable.

10. The laser awakening building displacement monitoring method according to any one of claims 1 to 6, characterized in that: After the laser sensor is stimulated and awakened, it starts collecting laser sensor variables corresponding to a certain laser beam posture direction according to the laser scanning synchronization signal; The scanning synchronization signal includes a scanning synchronization mark; the scanning synchronization mark includes a scanning sequence code corresponding to the current transient emission posture of the laser beam.

11. A laser wake-up type building displacement monitoring device, characterized in that: The device comprises a laser transmitter installed at an observation point and a low-power laser sensor pre-buried at a target point; after the wireless cooperative base station wirelessly controls the laser transmitter to emit a laser beam, it collects the laser beam offset variable uploaded by the laser sensor node in a wireless group reading manner to track and monitor the displacement of the target point on the surface of the building component; the laser sensor is composed of the following modules: Preamplifier response module: when the receiving response of the laser beam incident signal effectively stimulated by the preamplifier passive photoelectric coupling reaches a certain threshold, the preamplifier photoelectric coupling response is used to make itself enter a shallow dormant state that allows RF reception; When the cooperative base station performs laser scanning excitation on the target area by wirelessly controlling the laser transmitter, after adjusting the emission attitude direction parameter each time, the laser scanning excitation signal sent by the laser transmitter includes a laser scanning synchronization signal; Stimulation awakening module: used for being awakened by wireless stimulation in the shallow sleep state, and starting to collect the laser beam incident signal according to the wireless synchronous group reading signal sent by the cooperative base station; Coupling acquisition module: used for coupling and acquiring the laser beam incident signal through the photoelectric coupling array in the synchronous sampling period to obtain the laser beam incident offset variable corresponding to the laser beam incident center, wherein the laser beam incident offset variable refers to the coordinate offset of the laser beam incident center caused by the displacement of the target point, including the window offset variable in the window response area with respect to the laser beam incident center and the distance offset variable in the laser incident direction; A response sending module is used to send the laser beam offset variable to the cooperative base station in a wireless synchronous response mode, and the cooperative base station tracks and monitors the displacement of the target point through mapping conversion calculation according to the laser beam offset variable; The cooperative base station controls and adjusts a certain laser transmitter to perform multi-point tracking and monitoring of multiple laser sensor nodes in the target area, and controls and adjusts at least one different laser transmitter to perform fixed-point tracking and monitoring of at least one laser sensor node therein.

12. The laser wake-up type building displacement monitoring device according to claim 11, characterized in that: The coupling acquisition module converts the incident signal of the laser beam entering the receiving window into a two-dimensional intensity distribution in the window response area, and is specifically composed of the following units: Photoelectric coupling array: used for converting the incident laser beam signal entering the receiving window and optically processed into a photoelectric coupling signal; Filter sampling unit: perform high-frequency bandpass filtering on the photoelectric coupling signal according to the pulse frequency of the laser beam incident signal, output a filtered sampling signal, and remove the collection signal of the photoelectric coupling signal that responds to the background radiation; Scanning acquisition unit: scans and selects the coupling conversion unit in the photoelectric coupling array, and performs A / D acquisition on the filtered sampling signal to obtain a two-dimensional intensity distribution corresponding to the photoelectric coupling array.

13. The laser wake-up type building displacement monitoring device according to claim 11 or 12, characterized in that: The photoelectric coupling array is a low-power module that can be awakened transiently by a response signal of a front passive photoelectric coupling; When and only when the incident intensity of the laser beam causes the response signal of the front photoelectric coupling obtained by the laser sensor to reach a certain threshold, the antenna excitation coupling unit and / or the RF front end is triggered to be turned on and enter a shallow sleep state allowing RF reception.

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