CN110083116A - High-supported formwork monitoring method based on artificial intelligence - Google Patents
High-supported formwork monitoring method based on artificial intelligence Download PDFInfo
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- CN110083116A CN110083116A CN201910393828.0A CN201910393828A CN110083116A CN 110083116 A CN110083116 A CN 110083116A CN 201910393828 A CN201910393828 A CN 201910393828A CN 110083116 A CN110083116 A CN 110083116A
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
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Abstract
The invention discloses the high-supported formwork monitoring methods based on artificial intelligence, are related to high-supported formwork safety monitoring technology field.High-supported formwork monitoring method provided by the invention based on artificial intelligence includes the parameter information for obtaining the high-supported formwork, wherein the parameter information includes angle information, displacement information and weight information；The parameter information and preset data are compared, and show whether the high-supported formwork is in a safe condition according to comparing result；When the high-supported formwork is not at safe condition, alarm is opened.High-supported formwork monitoring method provided by the invention based on artificial intelligence can monitor the safe condition of high-supported formwork in real time, and the disaster and carry out classifying alarm and positioning that forecast may occur in advance are conducive to the security of the lives and property.
Description
Technical field
The present invention relates to high-supported formwork safety monitoring technology fields, supervise in particular to the high-supported formwork based on artificial intelligence
Prosecutor method.
Background technique
High-supported formwork refers to form erecting operation when formwork height is greater than or equal to 8m.With the development of the social economy, building work
The scale of journey is increasing, and more and more engineering constructions are needed using high-supported formwork.The height of high-supported formwork from several meters to more than ten meter,
Some is even as high as tens meters.On the one hand, high-formwork construction operation is easier that high fall accident occurs, causes personnel's
Injures and deaths, more seriously in the construction process, if formwork system collapses, the group that will cause in operating personnel above is dead
Group's wound, leads to larger, even great construction safety accident.Therefore, the security monitoring of high-supported formwork has great security implications
And value.The relevant method for safety monitoring of existing high-supported formwork is unable to the safe condition of monitor high-supported formwork, may make
At the heavy losses of economy and personnel.
Summary of the invention
The high-supported formwork monitoring method based on artificial intelligence that the purpose of the present invention is to provide a kind of, can be to high-supported formwork
Safe condition is monitored in real time, is forecast the disaster that may occur in advance, is conducive to the security of the lives and property.
The present invention provides a kind of technical solution about the high-supported formwork monitoring method based on artificial intelligence:
A kind of high-supported formwork monitoring method based on artificial intelligence, it is described to be based on artificial intelligence for the safety monitoring of high-supported formwork
Can high-supported formwork monitoring method include:
The parameter information of the high-supported formwork of each monitoring point is obtained, and is sent to high-speed computation platform and carries out the instant of data
After preliminary treatment, and it is sent to AI supercomputer processing platform；
The parameter information and preset data are calculated and are predicted by AI supercomputer processing platform, and obtain institute according to comparing result
Whether in a safe condition state high-supported formwork；
The safe condition of high-supported formwork is judged according to above-mentioned data comparison result, and alarm of classifying.
Further, before the step of parameter information for obtaining the high-supported formwork, the height based on artificial intelligence
Formwork monitoring method further includes sensor setting steps, and the sensor setting steps include the following contents:
Region division is carried out to high-supported formwork according to the height of high-supported formwork, and multiple sensing sections are set in each division region
Point；
Multiple sensing nodes in each division region form the sensing node layer in the division region.
Further, the parameter information and preset data are calculated and are predicted by the AI supercomputer processing platform, and according to
Comparing result show that high-supported formwork step whether in a safe condition includes:
The parameter information of each sensing node in each division region is compared with preset sensing node data；
Parameter information variation tendency between each sensing node layer for dividing region is become with preset sensing node layer
Gesture data compare.
Further, it is described the safe condition of high-supported formwork is judged and is alarmed according to above-mentioned data comparison result in
Hold as follows:
When the parameter information of sensing node is not in preset sensing node data area, AI supercomputer processing platform authorization
Carry out level-one alarm；
When the parameter information variation tendency between sensing node layer is not within the scope of preset sensing node layer trend data
When, AI supercomputer processing platform authorization carries out secondary alarm；
When the parameter information variation tendency between the parameter information and sensing node layer of sensing node is neither in preset number
When according in range, AI supercomputer processing platform authorization carries out three-level alarm.
Further, the parameter information includes high-supported formwork angle information, weight information, displacement information and locating alarming
Locating alarming information.
Further, described when the parameter information of sensing node is not in preset sensing node data area, AI is super
Calculating processing platform authorization and carrying out level-one alarm includes the following contents:
The angle information and the predetermined angle data are compared, when the angle information is not in preset angle degree
The angle information that the sensing node is obtained when in the range of, then in continuous several times or certain time, if angle information one
Directly not in predetermined angle data area, then the authorization of AI supercomputer processing platform carries out level-one alarm, and the institute at the sensing node
It states alarm and carries out locating alarming；Conversely, high-supported formwork is in a safe condition；
And/or compare the weight information and the preset weight data, when the weight information is not pre-
If obtaining the weight information of the sensing node when in the range of weight data, then in continuous several times or certain time, if weight
Information is measured always not in preset weight data area, then the authorization of AI supercomputer processing platform carries out level-one alarm, and the sensing section
The alarm at point carries out locating alarming；Conversely, high-supported formwork is in a safe condition；
And/or compare institute's displacement information and the preset displacement data, when institute's displacement information is not pre-
If the displacement information of the sensing node is obtained when in the range of displacement data, then in continuous several times or certain time, if angle
Information is spent always not in preset displacement data area, then the authorization of AI supercomputer processing platform carries out level-one alarm, and the sensing section
The alarm at point carries out locating alarming；Conversely, high-supported formwork is in a safe condition.
Further, the parameter information variation tendency when between sensing node layer does not become in preset sensing node layer
When in gesture data area, it includes the following contents that AI supercomputer processing platform authorization, which carries out secondary alarm:
Angle information variation tendency in two layers of sensing node layer between each sensing node is believed with the preset angle
Breath variation tendency data compare, and when the angle information variation tendency is not in the range of predetermined angle data, then connect
The continuous angle information variation tendency repeatedly or in certain time obtained in two layers of sensing node layer between each sensing node, such as
Fruit angle information variation tendency is not always in predetermined angle data area, then the authorization of AI supercomputer processing platform carries out second level report
It is alert, and locating alarming is carried out by the alarm at the sensing node of angle information variation tendency not within a preset range；
Conversely, high-supported formwork is in a safe condition；
And/or the weight information variation tendency in two layers of sensing node layer between each sensing node is preset with described
Weight information variation tendency data compare, when the weight information variation tendency is not in the range of preset weight data
When, then the weight information variation in two layers of sensing node layer between each sensing node is obtained in continuous several times or certain time
Trend, if weight information variation tendency, always not in preset weight data area, AI supercomputer processing platform authorization carries out
Secondary alarm, and positioned by the alarm at the sensing node of weight information variation tendency not within a preset range
Alarm；Conversely, high-supported formwork is in a safe condition；
And/or the displacement information variation tendency in two layers of sensing node layer between each sensing node is preset with described
Displacement information variation tendency data compare, when institute's displacement information variation tendency is not in the range of preset displacement data
When, then the displacement information variation in two layers of sensing node layer between each sensing node is obtained in continuous several times or certain time
Trend, if displacement information variation tendency, always not in preset displacement data area, AI supercomputer processing platform authorization carries out
Secondary alarm, and positioned by the alarm at the sensing node of displacement information variation tendency not within a preset range
Alarm；Conversely, high-supported formwork is in a safe condition.
Further, include the obliquity sensor for obtaining high-supported formwork angle information in sensing node, obtain high-supported formwork weight
The pressure sensor of information, the displacement sensor for obtaining high-supported formwork displacement information and the alarm for locating alarming.
Further, the sensing node layer equal interval regions distribution on the high-supported formwork, the sensing node setting
All high-supported formwork brackets junction or part high-supported formwork bracket junction in each sensing node layer；
Alternatively, every layer of bracket articulamentum of the high-supported formwork is the sensing node layer, the sensing node is arranged each
All high-supported formwork brackets junction or part high-supported formwork bracket junction in sensing node layer.
Further, the alarm is indicator light or buzzer.
Compared with prior art, the beneficial effect of the high-supported formwork monitoring method provided by the invention based on artificial intelligence is:
The safe condition of high-supported formwork is monitored by the angle information, displacement information and weight information of high-supported formwork,
It monitors when high-supported formwork is in unsafe condition and timely and effectively alarms, and height is propped up by the alarm at each sensing node
The specific realization locating alarming of safe condition occurs for mold, can forecast the disaster that may occur in advance, be conducive to life
Property safety.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described.It should be appreciated that the following drawings illustrates only certain embodiments of the present invention, therefore it is not construed as pair
The restriction of range.It for those of ordinary skill in the art, without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the flow diagram for the high-supported formwork monitoring method based on artificial intelligence that the embodiment of the present invention provides；
Fig. 2 is the flow chart for the sensor setting that the embodiment of the present invention provides；
Fig. 3 is the process of " safe condition of high-supported formwork is judged and alarmed " step that the embodiment of the present invention provides
Block diagram.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described.Obviously, described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is implemented
The component of example can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below claimed
The scope of the present invention, but be merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without creative efforts belongs to the model that the present invention protects
It encloses.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
In the description of the present invention, it is to be understood that, term " on ", "lower", "inner", "outside", "left", "right" etc. indicate
Orientation or positional relationship be based on the orientation or positional relationship shown in the drawings or the invention product using when usually put
Orientation or positional relationship or the orientation or positional relationship that usually understands of those skilled in the art, be merely for convenience of retouching
It states the present invention and simplifies description, rather than the equipment of indication or suggestion meaning or element must have a particular orientation, with specific
Orientation construction and operation, therefore be not considered as limiting the invention.
In addition, term " first ", " second " etc. are only used for distinguishing description, it is not understood to indicate or imply relatively important
Property.
In the description of the present invention, it is also necessary to which explanation is unless specifically defined or limited otherwise, " setting ", " even
Connect " etc. terms shall be understood in a broad sense, for example, " connection " may be a fixed connection, may be a detachable connection, or integrally connect
It connects；It can be mechanical connection, be also possible to be electrically connected；It can be and be directly connected to, can also be indirectly connected with by intermediary, it can
To be the connection inside two elements.For the ordinary skill in the art, can understand as the case may be above-mentioned
The concrete meaning of term in the present invention.
With reference to the accompanying drawing, detailed description of the preferred embodiments.
Referring to Fig. 1, present embodiments providing a kind of high-supported formwork monitoring method based on artificial intelligence, height can be propped up
The safe condition of mould is monitored in real time, is forecast the disaster that may occur in advance, is conducive to the security of the lives and property.
It should be noted that the high-supported formwork monitoring method provided in this embodiment based on artificial intelligence be used for high-supported formwork into
Row real time monitoring, when understanding the state of high-supported formwork in real time, and then high-supported formwork avoided to cause danger caused by great economy and people
Member's injury.
High-supported formwork monitoring method provided in this embodiment based on artificial intelligence includes
S1: obtaining the parameter information of the high-supported formwork of each monitoring point, and is sent to high-speed computation platform and carries out data
After instant preliminary treatment, and it is sent to AI supercomputer processing platform；
The parameter information and preset data are calculated and are predicted by S2:AI supercomputer processing platform, and are obtained according to comparing result
Whether the high-supported formwork is in a safe condition out；
S3: judging the safe condition of high-supported formwork according to above-mentioned data comparison result, and alarm of classifying.
It should be noted that in the present embodiment, parameter information includes angle information, displacement information and weight information；Its
In, angle information can be the tilt angle of high-supported formwork, and displacement information can be the shift length of high-supported formwork, and weight information can be with
For the load-bearing pressure of high-supported formwork.Further, the tilt angle, moving distance and load-bearing pressure of high-supported formwork can be at three aspects
Reflect the safe condition of high-supported formwork, and locating alarming is realized by the alarm at each sensing node.
It is alternatively possible to obtain above-mentioned angle information, displacement information and weight information by corresponding sensor, such as logical
The displacement information that draw-wire displacement sensor obtains high-supported formwork is crossed, the weight information of high-supported formwork is obtained by weighing sensor.It is logical
Cross the angle information that obliquity sensor obtains high-supported formwork.
Further, as shown in Fig. 2, before the step of obtaining the parameter information of high-supported formwork, the high branch based on artificial intelligence
Mould monitoring method further includes sensor setting steps S0, and sensor setting steps include the following contents:
S01: region division is carried out to high-supported formwork according to the height of high-supported formwork, and multiple biographies are set in each division region
Feel node；
S02: each multiple sensing nodes divided in region form the sensing node layer in the division region.
Further, the parameter information and preset data are calculated and are predicted by the AI supercomputer processing platform, and according to
Comparing result show that high-supported formwork step whether in a safe condition includes:
S21: the parameter information of each sensing node in each division region and preset sensing node data are carried out
Comparison；
S22: by it is each divide region sensing node layer between parameter information variation tendency and preset sensing node
Layer trend data compares.
Further, as shown in figure 3, described judge the safe condition of high-supported formwork according to above-mentioned data comparison result
And the content alarmed is as follows:
S31: when the parameter information of sensing node is not in preset sensing node data area, AI supercomputer processing platform
Authorization carries out level-one alarm；
S32: when the parameter information variation tendency between sensing node layer is not in preset sensing node layer trend data model
When enclosing interior, AI supercomputer processing platform authorization carries out secondary alarm；
S33: when the parameter information variation tendency between the parameter information and sensing node layer of sensing node is neither default
Data area in when, AI supercomputer processing platform authorization carry out three-level alarm.
The parameter information includes the locating alarming of high-supported formwork angle information, weight information, displacement information and locating alarming
Information.
Further, parameter information and preset data are compared, and show whether high-supported formwork is in peace according to comparing result
The step of total state includes: to compare angle information, displacement information and weight information with preset data respectively；When angle is believed
Breath, displacement information and weight information within a preset range when, high-supported formwork is in a safe condition, and otherwise, high-supported formwork is in uneasiness
Total state.
Specifically, described when the parameter information of sensing node is not in preset sensing node data area, AI supercomputer
It includes the following contents that processing platform authorization, which carries out level-one alarm:
The angle information and the predetermined angle data are compared, when the angle information is not in preset angle degree
The angle information that the sensing node is obtained when in the range of, then in continuous several times or certain time, if angle information one
Directly not in predetermined angle data area, then the authorization of AI supercomputer processing platform carries out level-one alarm, and the institute at the sensing node
It states alarm and carries out locating alarming；Conversely, high-supported formwork is in a safe condition；
And/or compare the weight information and the preset weight data, when the weight information is not pre-
If obtaining the weight information of the sensing node when in the range of weight data, then in continuous several times or certain time, if weight
Information is measured always not in preset weight data area, then the authorization of AI supercomputer processing platform carries out level-one alarm, and the sensing section
The alarm at point carries out locating alarming；Conversely, high-supported formwork is in a safe condition；
And/or compare institute's displacement information and the preset displacement data, when institute's displacement information is not pre-
If the displacement information of the sensing node is obtained when in the range of displacement data, then in continuous several times or certain time, if angle
Information is spent always not in preset displacement data area, then the authorization of AI supercomputer processing platform carries out level-one alarm, and the sensing section
The alarm at point carries out locating alarming；Conversely, high-supported formwork is in a safe condition.
Further, the parameter information variation tendency when between sensing node layer does not become in preset sensing node layer
When in gesture data area, it includes the following contents that AI supercomputer processing platform authorization, which carries out secondary alarm:
Angle information variation tendency in two layers of sensing node layer between each sensing node is believed with the preset angle
Breath variation tendency data compare, and when the angle information variation tendency is not in the range of predetermined angle data, then connect
The continuous angle information variation tendency repeatedly or in certain time obtained in two layers of sensing node layer between each sensing node, such as
Fruit angle information variation tendency is not always in predetermined angle data area, then the authorization of AI supercomputer processing platform carries out second level report
It is alert, and locating alarming is carried out by the alarm at the sensing node of angle information variation tendency not within a preset range；
Conversely, high-supported formwork is in a safe condition；
And/or the weight information variation tendency in two layers of sensing node layer between each sensing node is preset with described
Weight information variation tendency data compare, when the weight information variation tendency is not in the range of preset weight data
When, then the weight information variation in two layers of sensing node layer between each sensing node is obtained in continuous several times or certain time
Trend, if weight information variation tendency, always not in preset weight data area, AI supercomputer processing platform authorization carries out
Secondary alarm, and positioned by the alarm at the sensing node of weight information variation tendency not within a preset range
Alarm；Conversely, high-supported formwork is in a safe condition；
And/or the displacement information variation tendency in two layers of sensing node layer between each sensing node is preset with described
Displacement information variation tendency data compare, when institute's displacement information variation tendency is not in the range of preset displacement data
When, then the displacement information variation in two layers of sensing node layer between each sensing node is obtained in continuous several times or certain time
Trend, if displacement information variation tendency, always not in preset displacement data area, AI supercomputer processing platform authorization carries out
Secondary alarm, and positioned by the alarm at the sensing node of displacement information variation tendency not within a preset range
Alarm；Conversely, high-supported formwork is in a safe condition.
Wherein, the angle information or weight information or displacement information of the sensing node, tool are obtained by continuous several times
Body is the angle information or weight information or displacement information that the sensing node is obtained by continuous 3-5 time；Or certain
The angle information of the acquisition sensing node or weight information or displacement information, specially obtain the biography in 30s in time
The angle information or weight information or displacement information of sense node；By the angle information or weight that judge the sensing node
Whether information or displacement information are always in preset data area, to determine whether needing to carry out level-one alarm；
If carrying out level-one alarm, by the alarm in sensing node to angle information or weight information or position
It moves sensing node of the information not in preset data area and carries out locating alarming；Wherein, level-one alarm mainly has in high-supported formwork
Alarming when loosening, offset occurs in some bracket junction of body, alarms for the lowest class.
If carrying out secondary alarm, by the alarm in sensing node to each sensing node in two layers of sensing node layer
Between angle information or weight information or the displacement information not sensing node within the scope of preset information change trend
Sensing node in layer and this layer carries out locating alarming；Wherein, secondary alarm is mainly in high-supported formwork layer or certain division region
Or alarm when whole appearance inclination, offset, it alarms for moderate grade.
If AI supercomputer processing platform authorization carries out three-level alarm, need to meet simultaneously level-one alarm and secondary alarm
Alert if；Wherein, three-level alarm mainly high-supported formwork layer or certain divide region or it is whole occur inclination, offset and
Alarming when loosening, offset occurs in certain layer of high-supported formwork bracket junction, illustrates that entire high-supported formwork has the danger of collapsing at this time,
For highest level alarm.
Further, include the obliquity sensor for obtaining high-supported formwork angle information in sensing node, obtain high-supported formwork weight
The pressure sensor of information, the displacement sensor for obtaining high-supported formwork displacement information and the alarm for locating alarming.
Further, the sensing node layer equal interval regions distribution on the high-supported formwork, the sensing node setting
All high-supported formwork brackets junction or part high-supported formwork bracket junction in each sensing node layer；
Alternatively, every layer of bracket articulamentum of the high-supported formwork is the sensing node layer, the sensing node is arranged each
All high-supported formwork brackets junction or part high-supported formwork bracket junction in sensing node layer.
According to the different sensing node plans of establishment, it is different accurate to may be implemented to realize the safe condition of entire high-supported formwork
The monitoring of accuracy.
Further, alarm is indicator light or buzzer.
It should be noted that the above-mentioned sensor for the information that gets parms may include draw-wire displacement sensor, claim
Sensor and obliquity sensor are retransmitted, draw-wire displacement sensor is used to detect the displacement information of high-supported formwork, and weighing sensor is used for
The weight information of high-supported formwork is detected, obliquity sensor is used to detect the angle information of high-supported formwork.
Simultaneously, it is also desirable to which explanation, above-mentioned draw-wire displacement sensor, weighing sensor and obliquity sensor are fixed
Ground is set on high-supported formwork, and set-up mode can be connected by screw bolts.
In addition, it should also be noted that, being installed by draw-wire displacement sensor, weighing sensor and obliquity sensor
Afterwards, above-mentioned each sensor can also be debugged, to guarantee draw-wire displacement sensor, weighing sensor and obliquity sensor
Function it is normal, and then guarantee parameter information accuracy and validity.
High-supported formwork monitoring method provided in this embodiment based on artificial intelligence the utility model has the advantages that the angle for passing through high-supported formwork
Information, displacement information and weight information are monitored the safe condition of high-supported formwork, are in dangerous shape monitoring high-supported formwork
It timely and effectively alarms when state, and the specific of safe condition high-supported formwork is specifically occurred by the alarm at each sensing node
Point realizes locating alarming, can forecast the disaster that may occur in advance, be conducive to the security of the lives and property.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of high-supported formwork monitoring method based on artificial intelligence, the safety monitoring for high-supported formwork, which is characterized in that the base
Include: in the high-supported formwork monitoring method of artificial intelligence
The parameter information of the high-supported formwork of each monitoring point is obtained, and is sent to high-speed computation platform and carries out the instant preliminary of data
After processing, and it is sent to AI supercomputer processing platform；
The parameter information and preset data are calculated and are predicted by AI supercomputer processing platform, and obtain the height according to comparing result
Whether formwork is in a safe condition；
The safe condition of high-supported formwork is judged according to above-mentioned data comparison result, and alarm of classifying.
2. the high-supported formwork monitoring method according to claim 1 based on artificial intelligence, which is characterized in that described in the acquisition
Before the step of parameter information of high-supported formwork, the high-supported formwork monitoring method based on artificial intelligence further includes sensor setting step
Suddenly, the sensor setting steps include the following contents:
Region division is carried out to high-supported formwork according to the height of high-supported formwork, and multiple sensing nodes are set in each division region；
Multiple sensing nodes in each division region form the sensing node layer in the division region.
3. the high-supported formwork monitoring method according to claim 2 based on artificial intelligence, which is characterized in that at the AI supercomputer
The parameter information and preset data are calculated and are predicted by platform, and show whether the high-supported formwork is according to comparing result
The step of safe condition includes:
The parameter information of each sensing node in each division region is compared with preset sensing node data；
By it is each divide region sensing node layer between parameter information variation tendency and preset sensing node layer trend number
According to comparing.
4. the high-supported formwork monitoring method according to claim 3 based on artificial intelligence, which is characterized in that described according to above-mentioned
Data comparison result judges the safe condition of high-supported formwork, and the content for alarm of classifying is as follows:
When the parameter information of sensing node is not in preset sensing node data area, AI supercomputer processing platform authorization is carried out
Level-one alarm；
When the parameter information variation tendency between sensing node layer is not within the scope of preset sensing node layer trend data, AI
Supercomputer processing platform authorization carries out secondary alarm；
When the parameter information variation tendency between the parameter information and sensing node layer of sensing node is neither in preset data model
When enclosing interior, AI supercomputer processing platform authorization carries out three-level alarm.
5. the high-supported formwork monitoring method described in any one of -4 based on artificial intelligence according to claim 1, which is characterized in that
The parameter information includes the locating alarming information of high-supported formwork angle information, weight information, displacement information and locating alarming.
6. the high-supported formwork monitoring method according to claim 5 based on artificial intelligence, which is characterized in that described when sensing section
When the parameter information of point is not in preset sensing node data area, AI supercomputer processing platform authorization carries out level-one alarm and includes
The following contents:
The angle information and the predetermined angle data are compared, when the angle information is not in predetermined angle data
The angle information of the sensing node is obtained when in range, then in continuous several times or certain time, if angle information is always not
In predetermined angle data area, then AI supercomputer processing platform authorization level-one is alarmed, and the alarm at the sensing node
Carry out locating alarming；Conversely, high-supported formwork is in a safe condition；
And/or compare the weight information and the preset weight data, when the weight information is not in default weight
The weight information of the sensing node is obtained when in the range of amount data, then in continuous several times or certain time, if weight is believed
Breath is not always in preset weight data area, then AI supercomputer processing platform authorization level-one is alarmed, and the institute at the sensing node
It states alarm and carries out locating alarming；Conversely, high-supported formwork is in a safe condition；
And/or compare institute's displacement information and the preset displacement data, when institute's displacement information is not in default position
The displacement information of the sensing node is obtained when in the range of shifting data, then in continuous several times or certain time, if angle is believed
Breath is not always in preset displacement data area, then AI supercomputer processing platform authorization level-one is alarmed, and the institute at the sensing node
It states alarm and carries out locating alarming；Conversely, high-supported formwork is in a safe condition.
7. the high-supported formwork monitoring method according to claim 5 based on artificial intelligence, which is characterized in that described when sensing section
When putting the parameter information variation tendency between layer not within the scope of preset sensing node layer trend data, AI supercomputer processing platform
It includes the following contents that authorization, which carries out secondary alarm:
By the angle information variation tendency and the preset angle information change in two layers of sensing node layer between each sensing node
Change trend data to compare, when the angle information variation tendency is not in the range of predetermined angle data, then it is continuous more
The angle information variation tendency in two layers of sensing node layer between each sensing node is obtained in secondary or certain time, if angle
Spend information change trend always not in predetermined angle data area, then the authorization of AI supercomputer processing platform carries out secondary alarm, and
Locating alarming is carried out by the alarm at the sensing node of angle information variation tendency not within a preset range；Conversely,
High-supported formwork is in a safe condition；
And/or by two layers of sensing node layer between each sensing node weight information variation tendency with it is described preset heavy
Amount information change trend data compares, when the weight information variation tendency is not in the range of preset weight data,
Continuous several times or the interior weight information variation obtained in two layers of sensing node layer between each sensing node of certain time become again
Gesture, if weight information variation tendency, always not in preset weight data area, AI supercomputer processing platform authorization carries out two
Grade alarm, and positioning report is carried out by the alarm at the sensing node of weight information variation tendency not within a preset range
It is alert；Conversely, high-supported formwork is in a safe condition；
And/or by two layers of sensing node layer between each sensing node displacement information variation tendency and the preset position
Information change trend data is moved to compare, when institute's displacement information variation tendency is not in the range of preset displacement data,
Continuous several times or the interior displacement information variation obtained in two layers of sensing node layer between each sensing node of certain time become again
Gesture, if displacement information variation tendency, always not in preset displacement data area, AI supercomputer processing platform authorization carries out two
Grade alarm, and positioning report is carried out by the alarm at the sensing node of displacement information variation tendency not within a preset range
It is alert；Conversely, high-supported formwork is in a safe condition.
8. the high-supported formwork monitoring method according to any one of claim 2-7 based on artificial intelligence, which is characterized in that
The pressure sensor of obliquity sensor, acquisition high-supported formwork weight information including acquisition high-supported formwork angle information in sensing node,
Obtain the displacement sensor of high-supported formwork displacement information and the alarm for locating alarming.
9. the high-supported formwork monitoring method according to claim 2 based on artificial intelligence, which is characterized in that the sensing node
Layer waits interval regions distribution on the high-supported formwork, and all high-supported formwork branch are arranged in each sensing node layer in the sensing node
Frame junction or part high-supported formwork bracket junction；
Alternatively, every layer of bracket articulamentum of the high-supported formwork is the sensing node layer, the sensing node is arranged in each sensing
All high-supported formwork brackets junction or part high-supported formwork bracket junction in node layer.
10. the high-supported formwork monitoring method according to claim 8 based on artificial intelligence, which is characterized in that the alarm
For indicator light or buzzer.
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