CN116633990B - Remote information digital supervision system and method based on cloud computing - Google Patents
Remote information digital supervision system and method based on cloud computing Download PDFInfo
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- 238000012797 qualification Methods 0.000 claims description 138
- 238000004458 analytical method Methods 0.000 claims description 24
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
Abstract
The invention relates to the technical field of information remote supervision. The remote information digital supervision system and the remote information digital supervision method based on cloud computing are characterized in that the data acquisition module acquires basic data information of a construction site and a moving track which is positioned and displayed by a work card of a constructor; the data analysis module is used for acquiring data information of constructors and analyzing construction areas of the constructors; the construction supervision module is used for analyzing abnormal conditions of a construction site and carrying out platform early warning and other operations aiming at the abnormal conditions of the construction site; the platform early warning regulation and control module carries out early warning treatment on abnormal conditions of a construction site and dispatches constructors; according to the invention, the construction area of constructors is designated, and the abnormal condition of the construction site is analyzed through the three-dimensional model, so that the remote integrated supervision of the platform on the construction site data information is realized, and the inaccuracy of the supervision result caused by errors is reduced.
Description
Technical Field
The invention relates to the technical field of information remote supervision, in particular to a remote information digital supervision system and method based on cloud computing.
Background
With the continuous progress of information technology and the internet, remote monitoring technology has been widely used. Various data information of the construction site can be acquired and transmitted in real time by the technical means of sensors, wireless communication, cloud computing, big data and the like, so that the whole and real-time supervision of the construction process is realized; the traditional construction supervision generally requires supervision personnel to patrol in the field, but is limited by time, space, manpower resources and other reasons, and the supervision coverage is limited, so that problems or abnormal situations cannot be found in time. The remote supervision can break through the limitations, so that the supervision is more comprehensive, accurate and efficient, various indexes of a construction site can be monitored in real time, early warning is carried out in advance, and potential risks are influenced rapidly.
Under the prior art, remote supervision can provide real-time data and early warning functions, but final decision and countermeasure are judged and executed by personnel, and the supervision effect can be influenced if the supervision personnel has insufficient interpretation capability or untimely response to the data.
Disclosure of Invention
The invention aims to provide a remote information digital supervision system and method based on cloud computing, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the remote information digital supervision method based on cloud computing specifically comprises the following steps:
s100, classifying constructors according to constructor data information, designating an operation area of the constructors according to classification results, acquiring basic data information of a construction site, and constructing an information base according to the basic data information of the construction site; the foundation data information of the construction site comprises constructor data information and a construction area;
s200, acquiring real-time data information of a construction site, importing the real-time data of the construction site into an interactive display terminal, analyzing the real-time data information of the construction site through a data analysis module, and judging abnormal conditions according to abnormal values of the construction site; the manager knows the abnormal situation in a click view mode and is convenient for the manager to make corresponding solving measures on the abnormal situation so as to realize remote supervision on the construction site, and the interactive display terminal is a construction information remote supervision platform; abnormal conditions of the construction site comprise conditions of unauthorized duty, sudden leave-out of the constructor and the like;
s300, constructing a grade classification early warning model, grading abnormal conditions through real-time data information of a construction site, and carrying out early warning and reminding according to a grade construction information remote supervision platform of the abnormal conditions;
s400, dispatching constructors according to early warning reminding of the construction information remote supervision platform.
Further, the S100 includes:
s101, acquiring constructor data information based on big data, wherein the constructor data information comprises the age, the working time and the construction qualification of constructors, the construction site requiring the constructors to operate is divided according to the construction qualification, the operation area of the constructors is designated, the construction qualification is an industry license of the constructors, such as an electrician license, a security membership license, a climbing license and the like, the areas of the construction site corresponding to different construction qualifications are different, such as the constructors with the electrician license operate, maintain, install, overhaul, reform, construct, debug and the like on electric equipment, the constructors with the security qualification is familiar with construction environment, troubleshooting dynamic hidden hazards, and the actions and unsafe dynamics of all violation command and violation operations are reminded; based on the constructor data information, acquiring the type uij of construction qualification of the constructor, and analyzing the construction experience of the constructor, wherein uij is expressed as the j-th construction qualification of the i-th constructor on the construction site; i=1, 2, 3..i., I is expressed as the number of construction site constructors, j=1, 2, 3..j, J representing the number of construction qualification categories that the constructor possesses, and selecting a constructor a from constructors at will, and utilizing a formula through the data information of the constructor a: paj =k1× taj × uaj, and an experience value of the j-th construction qualification of the constructor a can be calculated, wherein uaj is represented as a type of construction qualification of the constructor a, taj is represented as a duration of the j-th construction qualification obtained by the constructor a, k1 is represented as a coefficient, and k1 enables construction experience of the constructor to be in direct proportion to the working duration of the constructor, and when the working duration of the constructor is longer, the experience value of the constructor is higher, and a construction area of the constructor is specified according to the experience value of the constructor; a epsilon i;
s102, generating a qualification experience value set according to construction qualification experience values of constructors, namely Wj, wj= { p1j, p2j, p3 j..pij }, and sequencing experience values in the qualification experience value set Wj from small to large by using a bubbling sequencing method to obtain a new qualification experience value set Wj= { p1j, p2j, p3j.. prj }, wherein the constructors have two or more than two different construction qualifications, experience values in the qualification experience value set W' j are highest, so that the constructors can be repeatedly appointed for an operation area; screening constructors according to the new qualification experience value set and construction qualification experience values of constructors, arbitrarily selecting pRc and pRv which are different in construction qualification and highest in experience value from the qualification experience value set Wj, acquiring constructors corresponding to pRc and pRv, performing rejection processing on pRv in the qualification experience value set Wj when pRc is the same as the constructors corresponding to pRc and pRv and pRc is larger than pRv, and performing rejection processing on pRc in the qualification experience value set Wj when pRc is smaller than pRv; when the constructors corresponding to pRc and pRv are different, no treatment is performed; stopping screening until constructors with highest qualification experience values in the new qualification experience value set Wj are different; wherein pij represents the experience value of the j-th construction qualification of the I-th constructor, prj represents the j-th construction qualification experience value of the constructor, ordered as R, r=1, 2, 3..r, r=i in the qualification experience value set; c. v ε j;
s103, acquiring a constructor generation set S with highest experience value in different construction qualifications according to the screened qualification experience value set W' j, wherein S= { S1, S2, s3...sj } and designating a construction area of a constructor according to the construction experience of the constructor; sj is expressed as the constructor with the highest experience value in the j-th construction qualification.
Further, the S200 includes:
s201, constructing a construction site three-dimensional model based on video data information obtained by camera shooting monitoring of a construction site, marking and updating the position information of staff in the construction site three-dimensional model in real time according to the positioning and display of a work card of the constructor; the number m of times that a constructor z leaves the appointed construction area Ez and the moving track of the constructor z in the three-dimensional model are arbitrarily obtained through the appointing of the construction area of the constructor and the positioning display of the constructor work card in the three-dimensional model of the construction site; obtaining the stay time tq and the number of times mq of the constructor z in other construction areas Eq according to the moving track of the constructor z in the three-dimensional model; the other construction area Eq is any construction area except the construction area designated by the constructor z; analyzing whether an association relation exists between the construction areas Eq and Ez, and judging whether an abnormal condition occurs in a construction site through association index analysis between the Eq and Ez;
s202, acquiring xq and xz of data information sets uploaded to a construction information remote supervision platform in construction areas Eq and Ez; by the formula: f=k (xq ∈xz)/K (xq ∈xz)
Calculating to obtain an association index between the construction areas Eq and Ez, wherein K (xq U xz) is expressed as the number of elements owned by an intersection between the data information sets xq and xz, and K (xq U xz) is expressed as the number of elements owned by a union between the data information sets xq and xz; when the more the element owned by the intersection between the data information sets xq and xz is occupied by the element owned by the union between the data information sets xq and xz, the larger the association index between the construction areas Eq and Ez is explained;
according to the formula: f=k2 [ (m-mq) +tq/F ]
The abnormal value of the construction site can be calculated, and the abnormal condition of the construction site is judged according to the abnormal value of the construction site and a preset abnormal threshold F'; in the case where the number m of times the constructor z leaves the designated construction area Ez and the time period tq and the number mq of times of stay in other construction areas Eq are unchanged, the larger the association index between the construction areas Eq and Ez is, the smaller the abnormal value of the construction site is; where k2 is a coefficient.
Further, the S300 includes: presetting an information remote supervision platform early warning threshold F1 to construct a grade classification early warning model:
h is expressed as class classification of abnormal conditions of the construction site, when h=1, the abnormal conditions of the construction site are primary abnormal, and when the abnormal value F of the construction site is greater than or equal to a preset abnormal threshold F', the abnormal conditions of the construction site are judged; when the abnormal value F of the construction site is smaller than a preset abnormal threshold F', judging that the construction site has no abnormal condition, so that the construction information remote supervision platform does not give an early warning and reminding; when h=2, the abnormal condition of the construction site is a secondary abnormality, and the construction information remote supervision platform records the abnormal condition; when h=3, the abnormal condition of the construction site is three-level abnormality, and the construction information remote supervision platform carries out early warning reminding.
Further, the S400 includes: acquiring data information of constructors causing abnormal conditions of a construction site and leading to early warning reminding by a construction information remote supervision platform, traversing a qualification experience value set W 'j based on the data information of constructors causing abnormal conditions of the construction site and leading to early warning reminding by the construction information remote supervision platform, acquiring a qualification experience set W' g to which the constructors causing abnormal conditions of the construction site and leading to early warning reminding by the construction information remote supervision platform belong, and because constructors designated by a construction area acquire constructors with highest experience values in different construction qualifications for the screened qualification experience value set W 'j, constructors scheduled for normal work in other construction areas cannot belong to the set S, namely selecting one constructor n with highest construction qualification in the qualification experience set W' g andwhere g.epsilon.j.
The remote information digital supervision system based on cloud computing comprises a data acquisition module, a data analysis module, a construction supervision module and a platform early warning regulation module; the output end of the construction supervision module is connected with the input end of the platform early warning regulation module; the data acquisition module is used for acquiring basic data information of a construction site and a moving track which is positioned and displayed by a work card of a constructor; the data analysis module is used for acquiring data information of constructors and analyzing construction areas of the constructors; the construction supervision module is used for analyzing abnormal conditions of a construction site and carrying out platform early warning and other operations aiming at the abnormal conditions of the construction site; the platform early warning regulation and control module carries out early warning treatment on abnormal conditions of a construction site and dispatches constructors.
Further, the data acquisition module comprises an information base, a basic data information acquisition unit and a constructor moving track acquisition unit; the output end of the basic data information acquisition unit is connected with the input end of the information base, and the output end of the constructor moving track acquisition unit is connected with the input end of the construction site abnormal value analysis unit; the information base is constructed by basic data information of a construction site; the foundation data information acquisition unit acquires foundation data information of a construction site, wherein the foundation data information of the construction site comprises constructor data information and a construction area; the constructor moving track acquisition unit acquires the moving track of the constructor through the display of the constructor work card in the three-dimensional model, and can analyze and judge whether the constructor has conditions such as unauthorized duty or not through the moving track of the constructor.
Further, the data analysis module comprises a construction qualification experience value analysis unit, a screening unit and a construction area specifying unit; the output end of the screening unit is connected with the input end of the construction area specifying unit, and the output end of the construction area specifying unit is connected with the input end of the information base; the construction qualification experience value analysis unit is used for analyzing the construction qualification experience value of the constructor according to the construction qualification of the constructor and the duration of acquiring the construction qualification; the screening unit is used for screening constructors in order to avoid the constructors from repeatedly designating the operation area because the constructors have the highest experience value in two or more different construction qualifications in the qualification experience value set; the construction area designating unit designates the construction area of the constructor according to the construction qualification experience value of the constructor.
Further, the construction supervision module comprises a construction area association index analysis unit, a construction site abnormal value analysis unit and an abnormal condition grade classification unit; the output end of the abnormal condition grade classification unit is connected with the input end of the early warning decision unit; the construction area association index analysis unit is used for analyzing association indexes among different construction areas of a construction site; the construction site abnormal value analysis unit analyzes the construction site abnormal value according to the association index between the construction areas; the abnormal condition grade classification unit classifies the grades of the abnormal conditions of the construction site, and carries out early warning reminding according to the remote supervision platform of the grade construction information of the abnormal conditions of the construction site.
Further, the platform early warning regulation and control module comprises an early warning decision unit, an early warning reminding unit and a constructor scheduling unit; the output end of the early warning decision unit is connected with the input end of the early warning reminding unit. The output end of the early warning reminding unit is connected with the input end of the constructor scheduling unit; the early warning decision unit carries out early warning decision according to the grade construction information remote supervision platform of the abnormal condition of the construction site; the early warning and reminding unit is used for sending out early warning and reminding by the construction information remote supervision platform when the abnormal value of the construction site exceeds a set threshold value; the constructor scheduling unit schedules constructors when the construction information remote supervision platform sends out early warning reminding, avoids danger and reduces the occurrence of construction accidents.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the construction area of the constructor is designated by analyzing the data information of the constructor, and the abnormal condition of the construction site is analyzed by positioning and displaying the constructor work card in the three-dimensional model, so that the remote integrated supervision of the data information of the construction site by the platform is realized, and the inaccuracy of the supervision result caused by the insufficient interpretation ability or untimely response of the supervision personnel on the data is avoided.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic structural diagram of a remote information digital supervision system based on cloud computing.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions: the remote information digital supervision method based on cloud computing specifically comprises the following steps:
s100, classifying constructors according to constructor data information, designating an operation area of the constructors according to classification results, acquiring basic data information of a construction site, and constructing an information base according to the basic data information of the construction site; the foundation data information of the construction site comprises constructor data information and a construction area;
s200, acquiring real-time data information of a construction site, importing the real-time data of the construction site into an interactive display terminal, analyzing the real-time data information of the construction site through a data analysis module, and judging abnormal conditions according to abnormal values of the construction site; the manager knows the abnormal situation in a click view mode and conveniently makes corresponding solutions to the abnormal situation so as to realize remote supervision on the construction site, and the interactive display terminal is a construction information remote supervision platform; abnormal conditions of the construction site comprise conditions of unauthorized duty, sudden leave-out of the constructor and the like;
s300, constructing a grade classification early warning model, grading abnormal conditions through real-time data information of a construction site, and carrying out early warning and reminding according to a grade construction information remote supervision platform of the abnormal conditions;
s400, dispatching constructors according to early warning reminding of the construction information remote supervision platform.
Further, the S100 includes:
s101, acquiring constructor data information based on big data, wherein the constructor data information comprises the age, the working time and the construction qualification of constructors, the construction site requiring the constructors to operate is divided according to the construction qualification, the operation area of the constructors is designated, the construction qualification is an industry license of the constructors, such as an electrician license, a security membership license, a climbing license and the like, the areas of the construction site corresponding to different construction qualifications are different, such as the constructors with the electrician license operate, maintain, install, overhaul, reform, construct, debug and the like on electric equipment, the constructors with the security qualification is familiar with construction environment, troubleshooting dynamic hidden hazards, and the actions and unsafe dynamics of all violation command and violation operations are reminded; based on the constructor data information, acquiring the type uij of construction qualification of the constructor, and analyzing the construction experience of the constructor, wherein uij is expressed as the j-th construction qualification of the i-th constructor on the construction site; i=1, 2, 3..i., I is expressed as the number of construction site constructors, j=1, 2, 3..j, J representing the number of construction qualification categories that the constructor possesses, and selecting a constructor a from constructors at will, and utilizing a formula through the data information of the constructor a: paj =k1× taj × uaj, and an experience value of the j-th construction qualification of the constructor a can be calculated, wherein uaj is represented as a type of construction qualification of the constructor a, taj is represented as a duration of the j-th construction qualification obtained by the constructor a, k1 is represented as a coefficient, and k1 enables construction experience of the constructor to be in direct proportion to the working duration of the constructor, and when the working duration of the constructor is longer, the experience value of the constructor is higher, and a construction area of the constructor is specified according to the experience value of the constructor; a epsilon i;
s102, generating a qualification experience value set according to construction qualification experience values of constructors, namely Wj, wj= { p1j, p2j, p3 j..pij }, and sequencing experience values in the qualification experience value set Wj from small to large by using a bubbling sequencing method to obtain a new qualification experience value set Wj= { p1j, p2j, p3j.. prj }, wherein the constructors have two or more than two different construction qualifications, experience values in the qualification experience value set W' j are highest, so that the constructors can be repeatedly appointed for an operation area; screening constructors according to the new qualification experience value set and construction qualification experience values of constructors, arbitrarily selecting pRc and pRv which are different in construction qualification and highest in experience value from the qualification experience value set Wj, acquiring constructors corresponding to pRc and pRv, performing rejection processing on pRv in the qualification experience value set Wj when pRc is the same as the constructors corresponding to pRc and pRv and pRc is larger than pRv, and performing rejection processing on pRc in the qualification experience value set Wj when pRc is smaller than pRv; when the constructors corresponding to pRc and pRv are different, no treatment is performed; stopping screening until constructors with highest qualification experience values in the new qualification experience value set Wj are different; wherein pij represents the experience value of the j-th construction qualification of the I-th constructor, prj represents the j-th construction qualification experience value of the constructor, ordered as R, r=1, 2, 3..r, r=i in the qualification experience value set; c. v ε j;
s103, acquiring a constructor generation set S with highest experience value in different construction qualifications according to the screened qualification experience value set W' j, wherein S= { S1, S2, s3...sj } and designating a construction area of a constructor according to the construction experience of the constructor; sj is expressed as the constructor with the highest experience value in the j-th construction qualification.
Further, the S200 includes:
s201, constructing a construction site three-dimensional model based on video data information obtained by camera shooting monitoring of a construction site, marking and updating the position information of staff in the construction site three-dimensional model in real time according to the positioning and display of a work card of the constructor; the number m of times that a constructor z leaves the appointed construction area Ez and the moving track of the constructor z in the three-dimensional model are arbitrarily obtained through the appointing of the construction area of the constructor and the positioning display of the constructor work card in the three-dimensional model of the construction site; obtaining the stay time tq and the number of times mq of the constructor z in other construction areas Eq according to the moving track of the constructor z in the three-dimensional model; the other construction area Eq is any construction area except the construction area designated by the constructor z; analyzing whether an association relation exists between the construction areas Eq and Ez, and judging whether an abnormal condition occurs in a construction site through association index analysis between the Eq and Ez;
s202, acquiring xq and xz of data information sets uploaded to a construction information remote supervision platform in construction areas Eq and Ez; by the formula: f=k (xq ∈xz)/K (xq ∈xz)
Calculating to obtain an association index between the construction areas Eq and Ez, wherein K (xq U xz) is expressed as the number of elements owned by an intersection between the data information sets xq and xz, and K (xq U xz) is expressed as the number of elements owned by a union between the data information sets xq and xz; when the more the element owned by the intersection between the data information sets xq and xz is occupied by the element owned by the union between the data information sets xq and xz, the larger the association index between the construction areas Eq and Ez is explained;
according to the formula: f=k2 [ (m-mq) +tq/F ]
The abnormal value of the construction site can be calculated, and the abnormal condition of the construction site is judged according to the abnormal value of the construction site and a preset abnormal threshold F'; in the case where the number m of times the constructor z leaves the designated construction area Ez and the time period tq and the number mq of times of stay in other construction areas Eq are unchanged, the larger the association index between the construction areas Eq and Ez is, the smaller the abnormal value of the construction site is; where k2 is a coefficient.
Further, the S300 includes: presetting an information remote supervision platform early warning threshold F1 to construct a grade classification early warning model:
h is expressed as class classification of abnormal conditions of the construction site, when h=1, the abnormal conditions of the construction site are primary abnormal, and when the abnormal value F of the construction site is greater than or equal to a preset abnormal threshold F', the abnormal conditions of the construction site are judged; when the abnormal value F of the construction site is smaller than a preset abnormal threshold F', judging that the construction site has no abnormal condition, so that the construction information remote supervision platform does not give an early warning and reminding; when h=2, the abnormal condition of the construction site is a secondary abnormality, and the construction information remote supervision platform records the abnormal condition; when h=3, the abnormal condition of the construction site is three-level abnormality, and the construction information remote supervision platform carries out early warning reminding.
Further, the S400 includes: acquiring data information of constructors causing abnormal conditions of a construction site and leading to early warning reminding by a construction information remote supervision platform, traversing a qualification experience value set W 'j based on the data information of constructors causing abnormal conditions of the construction site and leading to early warning reminding by the construction information remote supervision platform, acquiring a qualification experience set W' g to which the constructors causing abnormal conditions of the construction site and leading to early warning reminding by the construction information remote supervision platform belong, and because constructors designating construction areas acquire constructors with highest experience values in different construction qualifications for the screened qualification experience value set W 'j, constructors which do not belong to the set S in scheduling in order not to influence normal work of other construction areas, namely selecting one constructor n with highest construction qualification in the qualification experience set W' g andwhere g.epsilon.j.
The remote information digital supervision system based on cloud computing comprises a data acquisition module, a data analysis module, a construction supervision module and a platform early warning regulation module; the output end of the construction supervision module is connected with the input end of the platform early warning regulation module; the data acquisition module is used for acquiring basic data information of a construction site and a moving track which is positioned and displayed by a work card of a constructor; the data analysis module is used for acquiring data information of constructors and analyzing construction areas of the constructors; the construction supervision module is used for analyzing abnormal conditions of a construction site and carrying out platform early warning and other operations aiming at the abnormal conditions of the construction site; the platform early warning regulation and control module carries out early warning treatment on abnormal conditions of a construction site and dispatches constructors.
Further, the data acquisition module comprises an information base, a basic data information acquisition unit and a constructor moving track acquisition unit; the output end of the basic data information acquisition unit is connected with the input end of the information base, and the output end of the constructor moving track acquisition unit is connected with the input end of the construction site abnormal value analysis unit; the information base is constructed by basic data information of a construction site; the foundation data information acquisition unit acquires foundation data information of a construction site, wherein the foundation data information of the construction site comprises constructor data information and a construction area; the constructor moving track acquisition unit acquires the moving track of the constructor through the display of the constructor work card in the three-dimensional model, and can analyze and judge whether the constructor has conditions such as unauthorized duty or not through the moving track of the constructor.
Further, the data analysis module comprises a construction qualification experience value analysis unit, a screening unit and a construction area specifying unit; the output end of the screening unit is connected with the input end of the construction area specifying unit, and the output end of the construction area specifying unit is connected with the input end of the information base; the construction qualification experience value analysis unit is used for analyzing the construction qualification experience value of the constructor according to the construction qualification of the constructor and the duration of acquiring the construction qualification; the screening unit is used for screening constructors in order to avoid the constructors from repeatedly designating the operation area because the constructors have the highest experience value in two or more different construction qualifications in the qualification experience value set; the construction area designating unit designates the construction area of the constructor according to the construction qualification experience value of the constructor.
Further, the construction supervision module comprises a construction area association index analysis unit, a construction site abnormal value analysis unit and an abnormal condition grade classification unit; the output end of the abnormal condition grade classification unit is connected with the input end of the early warning decision unit; the construction area association index analysis unit is used for analyzing association indexes among different construction areas of a construction site; the construction site abnormal value analysis unit analyzes the construction site abnormal value according to the association index between the construction areas; the abnormal condition grade classification unit classifies the grades of the abnormal conditions of the construction site, and carries out early warning reminding according to the remote supervision platform of the grade construction information of the abnormal conditions of the construction site.
Further, the platform early warning regulation and control module comprises an early warning decision unit, an early warning reminding unit and a constructor scheduling unit; the output end of the early warning decision unit is connected with the input end of the early warning reminding unit. The output end of the early warning reminding unit is connected with the input end of the constructor scheduling unit; the early warning decision unit carries out early warning decision according to the grade construction information remote supervision platform of the abnormal condition of the construction site; the early warning and reminding unit is used for sending out early warning and reminding by the construction information remote supervision platform when the abnormal value of the construction site exceeds a set threshold value; the constructor scheduling unit schedules constructors when the construction information remote supervision platform sends out early warning reminding, avoids danger and reduces the occurrence of construction accidents.
In this embodiment:
selecting a constructor a from constructors at will, and acquiring the time length taj = {2, 8, 3 and 7..degree } of the j-th construction qualification acquired by the constructor a; by the formula: paj =k1× taj × uaj =0.8×taj×uaj, and an empirical value of the j-th construction qualification of the constructor a can be calculated, paj = {1.6, 6.4, 2.4, 5.6.}, where uaj is the type of construction qualification that the constructor a possesses; generating a qualification experience value set according to construction experience values of constructors, namely Wj, wj= { p1j, p2j and p3j..pij }, sequencing the qualification experience values in the qualification experience value set Wj from small to large by using a bubbling sequencing method, obtaining a new qualification experience value set Wj= { p1j, p2j and p3j.. prj }, screening constructors according to the new qualification experience value set and the construction experience values of constructors, arbitrarily selecting two qualified experience values with different construction experience values and highest experience values from the qualification experience value set Wj as pRc=9.6 and pRv =5.8, acquiring constructors corresponding to pRc and pRv, wherein pRc and pRv correspond to constructors and pRc is greater than pRv, performing rejection treatment on pRv in the qualification experience value set Wj until the construction experience values in the new qualification experience value set Wj are the same, and stopping construction experience value of the constructors with the highest experience value is not the same; aiming at the screened qualification experience value set W' j, acquiring a constructor generation set S with highest experience value in different construction qualifications, wherein S= { S1, S2, s3...sj } is generated, and designating a construction area of a constructor according to the construction experience of the constructor;
the construction area of the constructor is appointed, the constructor is clamped in the three-dimensional model of the construction site, the number m=12 of times that the constructor z leaves the appointed construction area Ez is arbitrarily obtained through positioning display, and the movement track of the constructor z in the three-dimensional model is arbitrarily obtained; obtaining the stay time tq=5 and the times mq=8 of the constructor z in other construction areas Eq according to the moving track of the constructor z in the three-dimensional model; acquiring xq and xz as data information sets uploaded to a construction information remote supervision platform in the construction areas Eq and Ez; by the formula: f=k (xq n xz)/K (xq u xz) =0.75
F＝k2*[(m-mq)+tq/f]＝0.85*[12-8+5/0.75]＝9
0 < F' =10, the abnormal condition of the construction site is first-level abnormality, and the condition that the abnormal condition does not exist in the construction site is judged, so that the construction information remote supervision platform does not give an early warning and prompt;
it is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A remote information digital supervision method based on cloud computing is characterized in that: the remote information digital supervision method specifically comprises the following steps:
s100, classifying constructors according to constructor data information, designating an operation area of the constructors according to classification results, acquiring basic data information of a construction site, and constructing an information base according to the basic data information of the construction site; the foundation data information of the construction site comprises constructor data information and a construction area;
s200, acquiring real-time data information of a construction site, importing the real-time data of the construction site into an interactive display terminal, analyzing the real-time data information of the construction site through a data analysis module, and judging abnormal conditions according to abnormal values of the construction site; the interactive display terminal is a construction information remote supervision platform;
s300, constructing a grade classification early warning model, grading abnormal conditions through real-time data information of a construction site, and carrying out early warning and reminding according to a grade construction information remote supervision platform of the abnormal conditions;
s400, dispatching constructors according to early warning reminding of the construction information remote supervision platform;
the S100 includes: s101, acquiring constructor data information based on big data, wherein the constructor data information comprises the age, the working time and the construction qualification of constructors, and acquiring the type uij of the construction qualification of the constructors based on the constructor data information to analyze the construction experience of the constructors, wherein the uij is represented as the j-th construction qualification of the i-th constructor of a construction site; i=1, 2, 3..i., I is expressed as the number of construction site constructors, j=1, 2, 3..j, J representing the number of construction qualification categories that the constructor possesses, and selecting a constructor a from constructors at will, and utilizing a formula through the data information of the constructor a: paj =k1× taj × uaj, and an experience value of the j-th construction qualification of the constructor a can be calculated, wherein uaj is represented as a type of construction qualification of the constructor a, taj is represented as a duration of the j-th construction qualification obtained by the constructor a, k1 is represented as a coefficient, and k1 enables the construction experience of the constructor to be in direct proportion to the working duration of the constructor, a e i;
s102, generating a qualification experience value set according to construction experience values of constructors, namely Wj, wj= { p1j, p2j and p3j..pij }, sequencing the experience values in the qualification experience value set Wj from small to large by using a bubbling sequencing method, obtaining a new qualification experience value set Wj= { p1j, p2j and p3j.. prj }, screening constructors according to the new qualification experience value set and the construction experience values of constructors, arbitrarily selecting two construction experience values which are different in qualification and have the highest experience value from the qualification experience value set Wj as pRc and pRv respectively, obtaining constructors corresponding to pRc and pRv, removing pRv in the qualification experience value set Wj when pRc and pRv are the same and pRc is larger than pRv, and removing pRc from the qualification experience value set Wj when pRc is smaller than pRv; when the constructors corresponding to pRc and pRv are different, no treatment is performed; stopping screening until constructors with highest qualification experience values in the new qualification experience value set Wj are different; wherein pij represents the experience value of the j-th construction qualification of the I-th constructor, prj represents the j-th construction qualification experience value of the constructor, ordered as R, r=1, 2, 3..r, r=i in the qualification experience value set; c. v ε j;
s103, acquiring a constructor generation set S with highest experience value in different construction qualifications according to the screened qualification experience value set W' j, wherein S= { S1, S2, s3...sj } and designating a construction area of a constructor according to the construction experience of the constructor; sj is expressed as the constructor with the highest experience value in the j-th construction qualification;
the S200 includes: s201, constructing a construction site three-dimensional model based on video data information obtained by camera shooting monitoring of a construction site, marking and updating the position information of staff in the construction site three-dimensional model in real time according to the positioning and display of a work card of the constructor; the number m of times that a constructor z leaves the appointed construction area Ez and the moving track of the constructor z in the three-dimensional model are arbitrarily obtained through the appointing of the construction area of the constructor and the positioning display of the constructor work card in the three-dimensional model of the construction site; obtaining the stay time tq and the number of times mq of the constructor z in other construction areas Eq according to the moving track of the constructor z in the three-dimensional model; the other construction area Eq is any construction area except the construction area designated by the constructor z; analyzing whether an association relation exists between the construction areas Eq and Ez, and judging whether an abnormal condition occurs in a construction site through association index analysis between the Eq and Ez;
s202, acquiring xq and xz of data information sets uploaded to a construction information remote supervision platform in construction areas Eq and Ez; by the formula: f=k (xq ∈xz)/K (xq ∈xz)
Calculating to obtain an association index between the construction areas Eq and Ez, wherein K (xq U xz) is expressed as the number of elements owned by an intersection between the data information sets xq and xz, and K (xq U xz) is expressed as the number of elements owned by a union between the data information sets xq and xz;
according to the formula: f=k2 [ (m-mq) +tq/F ]
The abnormal value of the construction site can be calculated, and the abnormal condition of the construction site is judged according to the abnormal value of the construction site and a preset abnormal threshold F'; where k2 is a coefficient.
2. The cloud computing-based remote information digital supervision method as set forth in claim 1, wherein: the S300 includes: presetting an information remote supervision platform early warning threshold F1 to construct a grade classification early warning model:
h is expressed as class classification of abnormal conditions of the construction site, when h=1, the abnormal conditions of the construction site are primary abnormal conditions, and the construction information remote supervision platform does not give an early warning and prompt; when h=2, the abnormal condition of the construction site is a secondary abnormality, and the construction information remote supervision platform records the abnormal condition; when h=3, the abnormal condition of the construction site is three-level abnormality, and the construction information remote supervision platform carries out early warning reminding.
3. The cloud computing-based remote information digital supervision method as set forth in claim 2, wherein: the S400 includes: acquiring data information of constructors causing abnormal conditions of a construction site and leading to early warning reminding of a construction information remote supervision platform, traversing a qualification experience value set W 'j based on the data information of the constructors causing abnormal conditions of the construction site and leading to early warning reminding of the construction information remote supervision platform, acquiring a qualification experience set W' g of the constructors causing abnormal conditions of the construction site and leading to early warning reminding of the construction information remote supervision platform, selecting a constructor n with highest construction qualification from the qualification experience set W 'g, and selecting a constructor n with highest construction qualification from the qualification experience set W' gWhere g.epsilon.j.
4. A telematics digital supervision system applying the cloud computing-based telematics digital supervision method of any one of claims 1-3, characterized by: the remote information digital supervision system comprises a data acquisition module, a data analysis module, a construction supervision module and a platform early warning regulation module; the output end of the construction supervision module is connected with the input end of the platform early warning regulation module; the data acquisition module is used for acquiring basic data information of a construction site and a moving track which is positioned and displayed by a work card of a constructor; the data analysis module is used for acquiring data information of constructors and analyzing construction areas of the constructors; the construction supervision module is used for analyzing abnormal conditions of a construction site; the platform early warning regulation and control module carries out early warning treatment on abnormal conditions of a construction site and dispatches constructors.
5. The telematics system of claim 4, wherein: the data acquisition module comprises an information base, a basic data information acquisition unit and a constructor moving track acquisition unit; the output end of the basic data information acquisition unit is connected with the input end of the information base, and the output end of the constructor moving track acquisition unit is connected with the input end of the construction site abnormal value analysis unit; the information base is constructed by basic data information of a construction site; the foundation data information acquisition unit acquires foundation data information of a construction site, wherein the foundation data information of the construction site comprises constructor data information and a construction area; the constructor moving track acquisition unit acquires the moving track of the constructor through the display of the constructor work card in the three-dimensional model.
6. The telematics system of claim 5, wherein: the data analysis module comprises a construction qualification experience value analysis unit, a screening unit and a construction area specifying unit; the output end of the screening unit is connected with the input end of the construction area specifying unit, and the output end of the construction area specifying unit is connected with the input end of the information base; the construction qualification experience value analysis unit is used for analyzing the construction qualification experience value of the constructor according to the construction qualification of the constructor and the duration of acquiring the construction qualification; the screening unit screens constructors; the construction area designating unit designates the construction area of the constructor according to the construction qualification experience value of the constructor.
7. The telematics system of claim 6, wherein: the construction supervision module comprises a construction area association index analysis unit, a construction site abnormal value analysis unit and an abnormal condition grade classification unit; the output end of the abnormal condition grade classification unit is connected with the input end of the early warning decision unit; the construction area association index analysis unit is used for analyzing association indexes among different construction areas of a construction site; the construction site abnormal value analysis unit analyzes the construction site abnormal value according to the association index between the construction areas; the abnormal condition grade classification unit classifies the grades of the abnormal conditions of the construction site, and carries out early warning reminding according to the remote supervision platform of the grade construction information of the abnormal conditions of the construction site.
8. The telematics system of claim 7, wherein: the platform early warning regulation and control module comprises an early warning decision unit, an early warning reminding unit and a constructor scheduling unit; the output end of the early warning decision unit is connected with the input end of the early warning reminding unit; the output end of the early warning reminding unit is connected with the input end of the constructor scheduling unit; the early warning decision unit carries out early warning decision according to the grade construction information remote supervision platform of the abnormal condition of the construction site; the early warning and reminding unit is used for sending out early warning and reminding by the construction information remote supervision platform when the abnormal value of the construction site exceeds a set threshold value; the constructor scheduling unit schedules constructors when the construction information remote supervision platform sends out early warning reminding.
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