CN115512514A - Intelligent management method and device for early warning instruction - Google Patents
Intelligent management method and device for early warning instruction Download PDFInfo
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- CN115512514A CN115512514A CN202211010939.7A CN202211010939A CN115512514A CN 115512514 A CN115512514 A CN 115512514A CN 202211010939 A CN202211010939 A CN 202211010939A CN 115512514 A CN115512514 A CN 115512514A
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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
- G08B21/02—Alarms for ensuring the safety of persons
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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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- 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
- G06Q10/063118—Staff planning in a project environment
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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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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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
Abstract
The invention discloses an intelligent management method and device for early warning instructions, which are characterized in that the early warning instructions are created in response to early warning operation and are issued to corresponding target user terminals, reply information returned by the target user terminals in response to the early warning instructions is received, whether the early warning instructions are backed off or not is judged based on the reply information, the early warning instructions are released when the early warning instructions are judged not to be backed off, reminding processing information is sent to the target user terminals when the early warning instructions are backed off, and the target user terminals return the reply information returned by the receiving target user terminals in response to the early warning instructions.
Description
Technical Field
The invention relates to the technical field of instruction management, in particular to an intelligent management method and device for early warning instructions.
Background
In a construction site, emergency rescue work is directly related to engineering construction safety and is a big thing for guaranteeing the lives and properties of people. At present, when emergency occurs in a construction site, an emergency rescue leader group is usually established on the site and is equipped with personnel such as professional engineers in various fields, and each person in the group has clear division of labor and is responsible for the own work and earnestly implements the guarantee measures. However, the inventor finds that the following technical problems exist in the prior art in the process of implementing the invention: when emergency occurs in the construction process of a construction site, emergency work is generally carried out by means of meeting notification, announcement and the like, and the emergency work processing efficiency is low due to the adoption of the method.
Disclosure of Invention
The embodiment of the invention provides an intelligent management method and device for early warning instructions, which can effectively solve the problem that the emergency work processing efficiency is low when an emergency occurs in a construction site in the prior art.
An embodiment of the present invention provides an intelligent management method for an early warning instruction, including:
responding to the early warning operation, and creating an early warning instruction;
sending the early warning instruction to a corresponding target user side;
receiving reply information returned by the target user side in response to the early warning instruction;
judging whether the early warning instruction is backed off or not based on the reply information;
when the early warning instruction is judged not to be backed, the early warning instruction is released;
and when the early warning instruction is judged to be backed, sending reminding processing information to a target user side, and returning to the step of receiving reply information returned by the target user side in response to the early warning instruction.
As an improvement of the above solution, the creating an early warning instruction in response to the early warning operation includes:
acquiring a current construction site image, construction environment sound and construction site weather information;
carrying out image feature extraction on the construction site image to obtain construction site image features;
performing voice feature extraction on the construction environment sound to obtain construction site environment sound features;
performing weather characteristic analysis on the construction site weather information to obtain construction site weather characteristics;
inputting the construction site image characteristics, the construction site environment sound characteristics and the construction site weather characteristics into a preset construction accident classification model to obtain the type of the construction accident currently occurring in the construction site; the construction accident classification model is obtained by training in advance according to a plurality of construction site image characteristic samples, construction site environment sound characteristic samples and construction site weather characteristic samples;
calling corresponding early warning operation based on the construction accident type; and a mapping relation is constructed between the early warning operation and the construction accident type in advance.
As an improvement of the above scheme, the types of the early warning instruction include a three-prevention instruction and a common instruction; the three-proofing instruction comprises a title, a content, starting time, a level, a number, telephone reminding time, item content, an attachment, an instruction receiving person and an instruction state; the general instructions include title, content, item content, whether a report needs to be filled out, deadline, attachments, person receiving the instructions, and instruction status.
As an improvement of the scheme, the three-prevention instruction has a plurality of early warning levels; after the early warning instruction is created in response to the early warning operation, the method further comprises the following steps:
and responding to instruction level adjustment operation, and adjusting the early warning level of the early warning instruction.
As an improvement of the above scheme, the intelligent management method for the early warning instruction further includes:
and responding to the instruction counting operation, and outputting the rollback data of each early warning instruction, the construction unit of each project and the rollback times of the supervision unit.
As an improvement of the above scheme, the intelligent management method for the early warning instruction further includes:
responding to the configuration operation of a construction duty table from a user side with a first configuration authority, and configuring a construction duty personnel scheduling plan;
responding to the configuration operation of the watch list from the user terminal with the second configuration authority, and configuring a watch duty scheduling plan;
configuring a managed attendant shift plan in response to a managed attendant table configuration operation from a user side having a third configuration authority.
Another embodiment of the present invention correspondingly provides an intelligent management device for early warning instructions, including:
the creating module is used for responding to the early warning operation and creating an early warning instruction;
the issuing module is used for issuing the early warning instruction to a corresponding target user side;
the receiving module is used for receiving reply information returned by the target user side in response to the early warning instruction;
the judging module is used for judging whether the early warning instruction is backed off or not based on the reply information;
the releasing module is used for releasing the early warning instruction when the early warning instruction is judged not to be backed;
and the return module is used for sending reminding processing information to the target user side when the early warning instruction is judged to be backed off, and returning to the step of receiving the reply information returned by the target user side in response to the early warning instruction.
As an improvement of the above solution, the creating module includes:
the acquisition unit is used for acquiring the current construction site image, construction environment sound and construction site weather information;
the image feature extraction unit is used for extracting image features of the construction site image to obtain construction site image features;
the voice feature extraction unit is used for extracting voice features of the construction environment sound to obtain construction site environment sound features;
the construction site feature extraction unit is used for performing weather feature analysis on the construction site weather information to obtain construction site weather features;
the input unit is used for inputting the construction site image characteristics, the construction site environment sound characteristics and the construction site weather characteristics into a preset construction accident classification model to obtain the type of the construction accident currently occurring in the construction site; the construction accident classification model is obtained by training in advance according to a plurality of construction site image characteristic samples, construction site environment sound characteristic samples and construction site weather characteristic samples;
the calling unit is used for calling corresponding early warning operation based on the construction accident type; and the early warning operation and the construction accident type are constructed in advance to form a mapping relation.
As an improvement of the above scheme, the types of the early warning instruction include a three-prevention instruction and a common instruction; the three-proofing instruction comprises a title, a content, starting time, a level, a number, telephone reminding time, item content, an attachment, an instruction receiving person and an instruction state; the general instructions include title, content, item content, whether a report needs to be filled out, deadline, attachments, person receiving the instructions, and instruction status.
As an improvement of the scheme, the three-prevention instruction has a plurality of early warning levels; the intelligent management device for the early warning instruction further comprises:
and the adjusting module is used for responding to instruction level adjusting operation and adjusting the early warning level of the early warning instruction.
As an improvement of the above scheme, the intelligent management device for early warning instructions further includes:
and the instruction counting module is used for responding to the instruction counting operation and outputting the rollback data of each early warning instruction, the construction unit of each project and the rollback times of the supervision unit.
As an improvement of the above scheme, the intelligent management device for early warning instructions further includes:
the first configuration module is used for responding to the configuration operation of a construction shift table from a user side with a first configuration authority and configuring a construction shift scheduling plan of a construction shift operator;
the second configuration module is used for responding to the configuration operation of the supervision duty table from the user side with the second configuration authority and configuring a supervision duty personnel scheduling plan;
and the third configuration module is used for responding to the configuration operation of the management pipe duty table from the user side with the third configuration authority and configuring the management pipe duty personnel scheduling plan.
Compared with the prior art, one of the technical solutions has the following advantages: the early warning instruction intelligent management method and the early warning instruction intelligent management device provided by the embodiment of the invention are used for creating an early warning instruction in response to an early warning operation, sending the early warning instruction to a corresponding target user side, receiving reply information returned by the target user side in response to the early warning instruction, judging whether the early warning instruction is backed off or not based on the reply information, removing the early warning instruction when judging that the early warning instruction is not backed off, sending reminding processing information to the target user side when judging that the early warning instruction is backed off, and returning to the step of receiving the reply information returned by the target user side in response to the early warning instruction. Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
Fig. 1 is a schematic flowchart of an intelligent management method for early warning commands according to an embodiment of the present invention;
fig. 2 is an architecture diagram of an intelligent management method for early warning commands according to an embodiment of the present invention;
fig. 3 is a login flowchart of an intelligent management method for early warning instructions according to an embodiment of the present invention;
fig. 4 is a swim lane diagram of an issued instruction in an intelligent management method for an early warning instruction according to an embodiment of the present invention;
fig. 5 is a block diagram of an intelligent management apparatus for early warning commands according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Fig. 1 is a schematic flow chart of an intelligent management method for early warning instructions according to an embodiment of the present invention.
The embodiment of the invention provides an intelligent management method for early warning instructions, which comprises the following steps:
step S101, responding to early warning operation, and creating an early warning instruction;
step S102, the early warning instruction is issued to a corresponding target user side;
step S103, receiving reply information returned by the target user side in response to the early warning instruction;
step S104, judging whether the early warning instruction is backed off or not based on the reply information;
step S105, when the early warning instruction is judged not to be backed, the early warning instruction is released;
and step S106, when the early warning instruction is judged to be backed off, sending reminding processing information to the target user side, and returning to the step of receiving reply information returned by the target user side in response to the early warning instruction.
In the embodiment of the invention, an early warning instruction is created in response to an early warning operation, the early warning instruction is issued to a corresponding target user side, reply information returned by the target user side in response to the early warning instruction is received, whether the early warning instruction is backed off or not is judged based on the reply information, the early warning instruction is released when the early warning instruction is judged not to be backed off, reminding processing information is sent to the target user side when the early warning instruction is judged to be backed off, and the target user side returns to the step of receiving the reply information returned by the early warning instruction in response to the early warning instruction.
Illustratively, the types of the early warning instruction include a three-proofing instruction and a normal instruction; the three-proofing instruction comprises a title, a content, starting time, a level, a number, telephone reminding time, item content, an attachment, an instruction receiving person and an instruction state; the general instructions include title, content, item content, whether a report needs to be filled out, deadline, attachments, person receiving the instructions, and instruction status. The instruction state comprises pending and processed.
In an optional implementation manner, in the step S101 "responding to the early warning operation and creating the early warning instruction", when the user finds that an emergency occurs on the construction site, the user may trigger the system to pop up the instruction creating interface according to the early warning operation (for example, clicking, touch, etc.), and create the instruction according to the actual early warning condition, and select to send the instruction to the designated post person or the specific person on duty, so that the system pushes the message to the corresponding receiving person, that is, completes the instruction sending action.
In another alternative embodiment, in the step S101 "creating an early warning instruction in response to an early warning operation", the early warning operation may be, for example, an operation for triggering an early warning instruction, which is automatically generated by the system when it is detected that a preset rule is met. Illustratively, the step S101 "creating an early warning instruction in response to an early warning operation" includes:
acquiring a current construction site image, construction environment sound and construction site weather information;
carrying out image feature extraction on the construction site image to obtain construction site image features;
performing voice feature extraction on the construction environment sound to obtain construction site environment sound features;
performing weather characteristic analysis on the construction site weather information to obtain construction site weather characteristics;
inputting the construction site image characteristics, the construction site environment sound characteristics and the construction site weather characteristics into a preset construction accident classification model to obtain the type of the construction accident occurring at present in the construction site; the construction accident classification model is obtained by training in advance according to a plurality of construction site image characteristic samples, construction site environment sound characteristic samples and construction site weather characteristic samples;
calling corresponding early warning operation based on the construction accident type; and the early warning operation and the construction accident type are constructed in advance to form a mapping relation.
Specifically, the construction site image is regularly shot by the surveillance camera head that sets up at the construction site and is obtained, construction environment sound is regularly gathered by the sound collector who sets up at the construction site, construction site weather information can be through the local weather information (including outdoor temperature, outdoor humidity, sunlight intensity etc.) that the request cloud ware was issued.
The image characteristic extraction algorithm adopted for the construction site image can be an HOG characteristic extraction algorithm, an LBP characteristic extraction algorithm, a Haar characteristic extraction algorithm or the like. The voice feature extraction algorithm adopted for the construction environment sound can be an MFCC algorithm or a LogFBank algorithm and the like. The weather characteristic analysis mode for the construction site weather information may be: calculating evaluation scores of various weather indexes (such as outdoor temperature, outdoor humidity and sunlight intensity) of the construction site weather information; determining the weather characteristics (such as high-temperature sunny days, cool cloudy days, cool sunny days and the like) of the construction site according to the score grades of the evaluation scores of the weather indexes of the construction site, wherein the score grades of the evaluation scores of the weather indexes and the weather characteristics of the construction site are constructed in advance to form a mapping relation. Further, the construction accident classification model may be, for example, a CNN neural network model.
Specifically, the construction accident type may be high-temperature heatstroke (for example, the construction site image characteristic is that a worker lies on the ground, the construction site weather characteristic is high-temperature sunny day, and the construction site environment sound characteristic is that a person sends words such as "heatstroke, rescue"), and the like), and the construction accident type may also be that a constructor is hit by stones (for example, the construction site image characteristic is that a worker lies on the ground and stones are around the constructor, and the construction site weather characteristic is any one of weather and construction site environment sound characteristic is that a person sends words such as "stones, rescue"). In addition, the early warning operation can be a high-temperature heatstroke warning for people, a warning for people broken by stones, and the like.
In the embodiment of the invention, the construction accident type can be automatically identified, so that the corresponding early warning operation can be called in time, and the accident finding and responding speed is improved.
In the specific implementation, the user needs to log in the system first to perform the instruction management. Referring to fig. 2 and 3, a user inputs an account number, a password and an authentication code first, and can enter a system home page through authentication, the authentication does not pass through reminding the user of error information, and in addition, an administrator can be contacted to modify the password when forgetting the password. In a specific implementation, for example, the my to-do part shown in fig. 2 may be set in the system, and may include a "to-sign instruction" part and a "processing reply instruction" part, where in the "to-sign instruction" part, when the three-prevention instruction and the normal instruction are issued to the recipient, the system notifies the recipient, and the current person receives the to-do message and can sign the to-do message. In the 'reply command processing' part, a person receiving the command replies the command and registers the data report in time, and the system sends a notice to remind a user of processing the backlog content at regular intervals. When the instruction is processed by the receiver and the related event is processed, the requirement of the instruction is met, the instruction issuer can release the instruction, and at this time, the receiver completes the task of the instruction, as shown in fig. 4.
In an alternative embodiment, the tri-proof instruction has multiple warning levels; after the step S101 "responding to the warning operation and creating the warning instruction", the method further includes:
and responding to instruction level adjustment operation, and adjusting the early warning level of the early warning instruction.
Illustratively, the three-proofing instructions are respectively one-level, two-level, three-level and four-level, and are ordered according to risk levels as follows: one-level > two-level > three-level > four-level, and in the concrete implementation, the instruction level can be adjusted according to the statistical condition of the current three-prevention report.
In an optional implementation manner, the method for intelligently managing the warning instruction further includes:
and responding to the instruction counting operation, and outputting the rollback data of each early warning instruction, the construction unit of each project and the rollback times of the supervision unit.
In a specific implementation, in order to facilitate fast understanding and analysis of the instruction condition, the instruction condition may be counted, for example, the instruction condition may be counted according to time, and backspacing data of each instruction is presented for project statistics, and each project displays the backspacing times of a construction unit and a supervision unit.
In an optional implementation manner, the method for intelligently managing the warning instruction further includes:
responding to the configuration operation of a construction duty table from a user side with a first configuration authority, and configuring a construction duty personnel scheduling plan;
responding to the configuration operation of the supervision attendant list from the user side with the second configuration authority, and configuring a supervision attendant shift scheduling plan;
configuring a managed attendant shift plan in response to a managed attendant table configuration operation from a user side having a third configuration authority.
In an implementation, the user side having the first configuration right, the user side having the second configuration right, and the user side having the third configuration right may be the same or different. Illustratively, a construction attendant shift schedule, configured by a safety chief, defaults to an on-duty manager, such as may schedule a next month of attendant, set up a day shift and a night shift; the supervision and duty scheduling plan is configured by a supervision and main supervisor, the main supervisor is supervised by default values, for example, the duty personnel in the last month can be arranged, and a white duty and a night duty are set; the management and duty personnel scheduling plan is configured by a safety chief, and a default duty manager, such as a duty personnel scheduling in a month, can set up a white duty and a night duty.
Fig. 5 is a schematic structural diagram of an intelligent management device for early warning commands according to an embodiment of the present invention.
Another embodiment of the present invention correspondingly provides an intelligent management device for early warning instructions, including:
the creating module is used for responding to the early warning operation and creating an early warning instruction;
the issuing module is used for issuing the early warning instruction to a corresponding target user side;
the receiving module is used for receiving reply information returned by the target user side in response to the early warning instruction;
the judging module is used for judging whether the early warning instruction is backed off or not based on the reply information;
the releasing module is used for releasing the early warning instruction when the early warning instruction is judged not to be backed;
and the return module is used for sending reminding processing information to the target user side when the early warning instruction is judged to be backed off, and returning to the step of receiving the reply information returned by the target user side in response to the early warning instruction.
In an optional implementation manner, the creating module includes:
the acquisition unit is used for acquiring the current construction site image, construction environment sound and construction site weather information;
the image feature extraction unit is used for extracting image features of the construction site image to obtain construction site image features;
the voice feature extraction unit is used for extracting voice features of the construction environment sound to obtain construction site environment sound features;
the construction site feature extraction unit is used for performing weather feature analysis on the construction site weather information to obtain the construction site weather features;
the input unit is used for inputting the construction site image characteristics, the construction site environment sound characteristics and the construction site weather characteristics into a preset construction accident classification model to obtain the type of the construction accident currently occurring in the construction site; the construction accident classification model is obtained by training in advance according to a plurality of construction site image characteristic samples, construction site environment sound characteristic samples and construction site weather characteristic samples;
the calling unit is used for calling corresponding early warning operation based on the construction accident type; and the early warning operation and the construction accident type are constructed in advance to form a mapping relation.
In an optional implementation mode, the types of the early warning instruction comprise a three-proofing instruction and a common instruction; the three-proofing instruction comprises a title, a content, starting time, a level, a number, telephone reminding time, item content, an attachment, an instruction receiving person and an instruction state; the general instructions include title, content, item content, whether a report needs to be filled out, deadline, attachments, person receiving the instructions, and instruction status.
In an alternative embodiment, the three-proofing instruction has multiple warning levels; the early warning instruction intelligent management device further comprises:
and the adjusting module is used for responding to instruction level adjusting operation and adjusting the early warning level of the early warning instruction.
As an improvement of the above scheme, the intelligent management device for early warning instructions further includes:
and the instruction counting module is used for responding to the instruction counting operation and outputting the rollback data of each early warning instruction, the construction unit of each project and the rollback times of the supervision unit.
In an optional implementation manner, the intelligent early warning instruction management apparatus further includes:
the first configuration module is used for responding to the configuration operation of a construction shift table from a user side with a first configuration authority and configuring a construction shift scheduling plan of a construction shift operator;
the second configuration module is used for responding to the configuration operation of the supervision duty table from the user side with the second configuration authority and configuring a supervision duty personnel scheduling plan;
and the third configuration module is used for responding to the configuration operation of the management pipe duty table from the user side with the third configuration authority and configuring the management pipe duty personnel scheduling plan.
It should be noted that, the intelligent management device for early warning instructions according to the embodiment of the present invention is configured to execute all the process steps of the intelligent management method for early warning instructions according to the above embodiment, and the working principles and beneficial effects of the two are in one-to-one correspondence, so that details are not repeated.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement without inventive effort.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. An intelligent management method for early warning instructions is characterized by comprising the following steps:
responding to the early warning operation, and creating an early warning instruction;
sending the early warning instruction to a corresponding target user side;
receiving reply information returned by the target user side in response to the early warning instruction;
judging whether the early warning instruction is backed off or not based on the reply information;
when the early warning instruction is judged not to be backed, the early warning instruction is released;
and when the early warning instruction is judged to be backed, sending reminding processing information to a target user side, and returning to the step of receiving reply information returned by the target user side in response to the early warning instruction.
2. The intelligent management method of early warning instructions according to claim 1, wherein said creating early warning instructions in response to early warning operations comprises:
acquiring a current construction site image, construction environment sound and construction site weather information;
performing image feature extraction on the construction site image to obtain construction site image features;
performing voice feature extraction on the construction environment sound to obtain construction site environment sound features;
performing weather characteristic analysis on the construction site weather information to obtain construction site weather characteristics;
inputting the construction site image characteristics, the construction site environment sound characteristics and the construction site weather characteristics into a preset construction accident classification model to obtain the type of the construction accident currently occurring in the construction site; the construction accident classification model is obtained by training in advance according to a plurality of construction site image characteristic samples, construction site environment sound characteristic samples and construction site weather characteristic samples;
calling corresponding early warning operation based on the construction accident type; and the early warning operation and the construction accident type are constructed in advance to form a mapping relation.
3. The intelligent management method of early warning instructions according to claim 1, wherein the types of the early warning instructions include a three-proof instruction and a normal instruction; the three-proofing instruction comprises a title, a content, starting time, a level, a number, telephone reminding time, item content, an attachment, an instruction receiving person and an instruction state; the general instructions include title, content, item content, whether a report needs to be filled out, deadline, attachments, person receiving the instructions, and instruction status.
4. The intelligent management method of early warning instructions according to claim 3, wherein the three-proofing instruction has a plurality of early warning levels; after the early warning instruction is created in response to the early warning operation, the method further comprises the following steps:
and responding to instruction level adjustment operation, and adjusting the early warning level of the early warning instruction.
5. The intelligent management method of early warning instructions according to claim 1, wherein the intelligent management method of early warning instructions further comprises:
and responding to the instruction counting operation, and outputting the rollback data of each early warning instruction, the construction unit of each project and the rollback times of the supervision unit.
6. The intelligent management method of early warning instructions according to claim 1, wherein the intelligent management method of early warning instructions further comprises:
responding to the configuration operation of a construction duty table from a user side with a first configuration authority, and configuring a construction duty personnel scheduling plan;
responding to the configuration operation of the watch list from the user terminal with the second configuration authority, and configuring a watch duty scheduling plan;
configuring a managed attendant shift plan in response to a managed attendant table configuration operation from a user terminal having a third configuration authority.
7. The utility model provides an early warning instruction intelligent management device which characterized in that includes:
the creating module is used for responding to the early warning operation and creating an early warning instruction;
the issuing module is used for issuing the early warning instruction to a corresponding target user side;
the receiving module is used for receiving reply information returned by the target user side in response to the early warning instruction;
the judging module is used for judging whether the early warning instruction is backed off or not based on the reply information;
the releasing module is used for releasing the early warning instruction when the early warning instruction is judged not to be backed;
and the return module is used for sending reminding processing information to the target user side when the early warning instruction is judged to be backed off, and returning to the step of receiving the reply information returned by the target user side in response to the early warning instruction.
8. An intelligent early warning instruction management apparatus as recited in claim 7, wherein the creation module comprises:
the acquisition unit is used for acquiring the current construction site image, construction environment sound and construction site weather information;
the image feature extraction unit is used for extracting image features of the construction site image to obtain construction site image features;
the voice feature extraction unit is used for extracting voice features of the construction environment sound to obtain construction site environment sound features;
the construction site feature extraction unit is used for performing weather feature analysis on the construction site weather information to obtain construction site weather features;
the input unit is used for inputting the construction site image characteristics, the construction site environment sound characteristics and the construction site weather characteristics into a preset construction accident classification model to obtain the type of a construction accident occurring at present in the construction site; the construction accident classification model is obtained by training in advance according to a plurality of construction site image characteristic samples, construction site environment sound characteristic samples and construction site weather characteristic samples;
the calling unit is used for calling corresponding early warning operation based on the construction accident type; and the early warning operation and the construction accident type are constructed in advance to form a mapping relation.
9. The warning instruction intelligent management apparatus according to claim 7, wherein the type of the warning instruction includes a three-proofing instruction and a normal instruction; the three-proofing instruction comprises a title, a content, starting time, a level, a number, telephone reminding time, item content, an attachment, an instruction receiving person and an instruction state; the general instructions include title, content, item content, whether a report needs to be filled out, deadline, attachments, person receiving the instructions, and instruction status.
10. The intelligent management of alert instructions according to claim 9, wherein the three-proofing instruction has a plurality of alert levels; the intelligent management device for the early warning instruction further comprises:
and the adjusting module is used for responding to instruction level adjusting operation and adjusting the early warning level of the early warning instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201828825U (en) * | 2010-10-26 | 2011-05-11 | 华南理工大学 | Remote monitoring system for household security protection based on Internet of Things |
| CN102209099A (en) * | 2011-01-21 | 2011-10-05 | 河海大学 | Method and system for emergent disposal work of unexpected flood of key water control project |
| CN102323776A (en) * | 2011-06-09 | 2012-01-18 | 上海智翔信息科技股份有限公司 | A kind of safety monitoring equipment |
| CN104580666A (en) * | 2013-10-20 | 2015-04-29 | 张献来 | Mobile intelligent help-calling system |
| CN110866600A (en) * | 2018-08-28 | 2020-03-06 | 英特尔公司 | Dynamic responsiveness prediction |
| CN111552216A (en) * | 2020-05-26 | 2020-08-18 | 周中兴 | Construction site intelligent supervision system based on 5G |
| CN112346931A (en) * | 2020-11-04 | 2021-02-09 | 青岛以萨数据技术有限公司 | Raspberry pie-based private network service cluster monitoring alarm system, method and medium |
| KR20220023868A (en) * | 2020-08-20 | 2022-03-03 | 주식회사 아이티로 | Mobile type management device of construction site |
-
2022
- 2022-08-23 CN CN202211010939.7A patent/CN115512514A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201828825U (en) * | 2010-10-26 | 2011-05-11 | 华南理工大学 | Remote monitoring system for household security protection based on Internet of Things |
| CN102209099A (en) * | 2011-01-21 | 2011-10-05 | 河海大学 | Method and system for emergent disposal work of unexpected flood of key water control project |
| CN102323776A (en) * | 2011-06-09 | 2012-01-18 | 上海智翔信息科技股份有限公司 | A kind of safety monitoring equipment |
| CN104580666A (en) * | 2013-10-20 | 2015-04-29 | 张献来 | Mobile intelligent help-calling system |
| CN110866600A (en) * | 2018-08-28 | 2020-03-06 | 英特尔公司 | Dynamic responsiveness prediction |
| CN111552216A (en) * | 2020-05-26 | 2020-08-18 | 周中兴 | Construction site intelligent supervision system based on 5G |
| KR20220023868A (en) * | 2020-08-20 | 2022-03-03 | 주식회사 아이티로 | Mobile type management device of construction site |
| CN112346931A (en) * | 2020-11-04 | 2021-02-09 | 青岛以萨数据技术有限公司 | Raspberry pie-based private network service cluster monitoring alarm system, method and medium |
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