Engineering construction assistant implementation system, method, equipment and medium

Abstract

The invention discloses an engineering construction assistant implementation system, method and equipment and a medium, mainly relates to the technical field of engineering construction, and aims to solve the problem that existing engineering construction monitoring schemes are mainly concentrated on project information flow confirmation. The problems of monitoring of specific site construction conditions of engineering construction schemes and auxiliary question answering of specific site construction content are not involved. Comprising an environment abnormity detection module which is used for carrying out abnormity reminding through a loudspeaker in a construction site when an abnormal condition exists; the construction process question answering module is used for generating an initial solution through an AI search engine, broadcasting the initial solution to each expert terminal, obtaining evaluation conclusions, and determining the initial solution as a final solution when a preset number of evaluation conclusions are correct; and when a preset number of evaluation conclusions are not correct, issuing a supplement instruction to any expert terminal whose evaluation conclusion is wrong, so as to obtain a final solution supplemented by the expert terminal.

Description

Technical Field

[0001] The present application relates to the field of live broadcast auxiliary application technology, and in particular to an engineering construction assistant implementation system, method, device and medium. Background Art

[0002] Engineering construction refers to the process of realizing the process from design to physical formation of engineering construction projects through the organic combination and reasonable arrangement of resources such as labor, machinery, raw materials, and process methods in accordance with construction drawings and design requirements. It involves multiple links, including construction preparation, material delivery, construction implementation, quality acceptance, etc., and is characterized by complexity, systematization, innovation, and long cycle.

[0003] The existing engineering construction monitoring scheme is mainly as follows: the cloud service platform obtains the project information sent by the client, analyzes the project information, and detects whether the analysis result is within the preset score range. If it is within the preset score range, the corresponding project establishment confirmation information is obtained, and the project establishment confirmation information is fed back to the client; the cloud service platform obtains the corresponding design information based on the project information, sends the design information to the review server, and after receiving the review pass information of the design information fed back by the review server, finds the designer information corresponding to each design sub-information contained in the design information, associates each design sub-information with the corresponding designer, and sends the design information to the work terminals held by all the associated designers; the work terminal edits the associated design sub-information, and uploads the edited design information to the cloud service platform after the editing is completed.

[0004] In summary, the existing engineering construction monitoring schemes mainly focus on the confirmation of project information flow, and do not involve the monitoring of specific on-site construction conditions of the engineering construction schemes and the auxiliary question-answering of specific on-site construction contents. Summary of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the present application provides a system, method, equipment and medium for implementing an engineering construction assistant to solve the problem that the existing engineering construction monitoring scheme mainly focuses on the confirmation of project information flow, and does not involve the monitoring of the specific on-site construction conditions of the engineering construction scheme and the auxiliary answering of questions about the specific on-site construction content.

[0006] In a first aspect, the present application provides a construction assistant implementation system, the system comprising: The on-site environment acquisition module is used to obtain the number of on-site workers and the wearing of safety helmets, the depth of the foundation pit, the height of the slope, and the height of the tower crane through the image acquisition and recognition equipment installed at the construction site; the tower crane sway range and the moving distance of the construction elevator at the current moment and the previous moment are obtained through sensors installed on the tower crane and the construction elevator; the environmental anomaly detection module is used to issue abnormal reminders through the loudspeaker in the construction site when abnormal situations exist; wherein the abnormal situations are: the safety helmet is not worn or the swaying range exceeds the preset range or the moving distance is greater than the preset distance threshold; through the automatic dialing program, the abnormal reminder is transmitted to the preset abnormal processing terminal in the form of an automatic voice call; the construction progress detection module is used to obtain the number of on-site workers, the depth of the foundation pit, the height of the slope, and the height of the tower crane in each construction link of the same engineering project as the current one in the historical time period, and then use them as samples to input the preset classification algorithm to obtain the trained preset classification algorithm, and then according to the current number of on-site workers The module obtains the predicted construction link by measuring the amount of foundation pit, the height of the slope and the height of the tower crane; obtains the actual construction link uploaded by the preset construction terminal; when the predicted construction link is inconsistent with the actual construction link, generates an abnormal instruction to the third-party monitoring terminal to determine the current construction link through the third-party monitoring terminal; the construction process Q&A module is used to determine the corresponding expert terminal set according to the current construction link; when a Q&A requirement is received through the preset interface, determines whether the solution corresponding to the current Q&A requirement exists in the preset database; when it does not exist in the preset database, generates an initial solution through the AI ​​search engine, broadcasts the initial solution to each expert terminal, obtains an evaluation conclusion, and when a preset number of evaluation conclusions are correct, determines the initial solution as the final solution; when a preset number of evaluation conclusions are not correct, issues a supplementary instruction to any expert terminal with an incorrect evaluation conclusion to obtain the final solution supplemented by the expert terminal; stores the Q&A requirement and the final solution in the preset database.

[0007] Furthermore, the environmental anomaly detection module includes an abnormal voice selection unit, which is used to play a warning voice corresponding to not wearing a safety helmet through a loudspeaker in the construction site when the safety helmet is not worn; when the shaking range exceeds a preset range, a warning voice corresponding to the shaking range exceeding the preset range in the construction site is played; when the moving distance is greater than a preset distance threshold, a warning voice corresponding to the moving distance greater than the preset distance threshold is played through the loudspeaker in the construction site.

[0008] Furthermore, the environmental anomaly detection module includes an automatic dialing unit, which is used to obtain the abnormal warning text corresponding to the abnormal situation when an abnormal situation exists; use TTS technology to convert the abnormal warning text into voice; the automatic dialing program is started and the preset abnormal processing terminal phone number is dialed; after the call is connected, the system automatically plays the synthesized abnormal reminder voice.

[0009] Furthermore, the construction process question-answering module includes an expert set determination unit, which is used to obtain the uploaded expert certification information through a preset identification interface; wherein the expert certification information includes at least: user terminal IP, participating project name, expert ID number, and construction link; when it is detected that the uploaded participating project name and expert ID number exist in the preset project information storage database, the user terminal IP is determined to be the expert terminal IP, and the correspondence between the expert terminal IP, construction link and project name is stored; the project name consistent with the current engineering construction project is determined from the preset project information storage database, and then the expert terminal set corresponding to each construction link of the current engineering construction project is determined.

[0010] In a second aspect, the present application provides a method for implementing an engineering construction assistant, the method comprising: Through the image acquisition and recognition equipment installed at the construction site, the number of on-site workers and the wearing of safety helmets, the depth of the foundation pit, the height of the slope, and the height of the tower crane are obtained; through the sensors installed on the tower crane and the construction elevator, the swaying range of the tower crane and the moving distance of the construction elevator at the current moment and the previous moment are obtained; when there is an abnormal situation, an abnormal reminder is issued through the loudspeaker in the construction site; among which, the abnormal situation is: the safety helmet is not worn or the swaying range exceeds the preset range or the moving distance is greater than the preset distance threshold; through the automatic dialing program, the abnormal reminder is transmitted to the preset abnormal processing terminal in the form of an automatic voice call; the number of on-site workers in each construction link of the same engineering project as the current one in the historical time period, the depth of the foundation pit, the height of the slope, and the height of the tower crane are obtained, and then used as samples to input the preset classification algorithm to obtain the trained preset classification algorithm, and then according to the current number of on-site workers, the depth of the foundation pit, the height of the slope The height of the tower and the height of the tower crane are used to obtain the predicted construction link; the actual construction link is uploaded to the preset construction terminal; when the predicted construction link is inconsistent with the actual construction link, an abnormal instruction is generated to the third-party monitoring terminal to determine the current construction link through the third-party monitoring terminal; according to the current construction link, the corresponding expert terminal set is determined; when a question-and-answer requirement is received through the preset interface, it is determined whether the solution corresponding to the current question-and-answer requirement exists in the preset database; when it does not exist in the preset database, an initial solution is generated through the AI ​​search engine, and the initial solution is broadcast to each expert terminal to obtain an evaluation conclusion. When a preset number of evaluation conclusions are correct, the initial solution is determined to be the final solution; when a preset number of evaluation conclusions are not correct, a supplementary instruction is issued to any expert terminal with an incorrect evaluation conclusion to obtain the final solution supplemented by the expert terminal; the question-and-answer requirement and the final solution are stored in the preset database.

[0011] Furthermore, when there is an abnormal situation, the abnormal reminder is given through the loudspeaker in the construction site, including: When a safety helmet is not worn, a warning voice corresponding to not wearing a safety helmet is played through the loudspeaker in the construction site; when the shaking range exceeds the preset range, a warning voice corresponding to the shaking range exceeding the preset range is played through the construction site; when the moving distance is greater than the preset distance threshold, a warning voice corresponding to the moving distance greater than the preset distance threshold is played through the loudspeaker in the construction site.

[0012] Furthermore, the abnormality reminder is transmitted to the preset abnormality handling terminal in the form of an automatic voice call through an automatic dialing program, specifically including: When an abnormal situation occurs, obtain the abnormal warning text corresponding to the abnormal situation; use TTS technology to convert the abnormal warning text into voice; the automatic dialing program is started and the preset abnormal processing terminal phone number is dialed; after the call is connected, the system automatically plays the synthesized abnormal reminder voice.

[0013] Furthermore, according to the current construction stage, the corresponding expert terminal set is determined, including: Obtain uploaded expert certification information through a preset identification interface; wherein the expert certification information includes at least: user terminal IP, participating project name, expert ID number, and construction link; when it is detected that the uploaded participating project name and expert ID number exist in the preset project information storage database, determine that the user terminal IP is the expert terminal IP, and store the correspondence between the expert terminal IP, construction link, and project name; determine the project name consistent with the current engineering construction project from the preset project information storage database, and then determine the expert terminal set corresponding to each construction link of the current engineering construction project.

[0014] In a third aspect, the present application provides an engineering construction assistant implementation device, the device comprising: a processor; and a memory on which executable code is stored, and when the executable code is executed, the processor executes an engineering construction assistant implementation method such as any one of the above.

[0015] In a fourth aspect, the present application provides a non-volatile computer storage medium on which computer instructions are stored, and when the computer instructions are executed, an engineering construction assistant implementation method such as any one of the above items is implemented.

[0016] Those skilled in the art can understand that the present application has at least the following beneficial effects: This application collects field data through the field environment collection module, and detects part of the collected data through the environmental anomaly detection module. When there is an abnormal situation, an abnormal reminder is issued through the loudspeaker in the construction site. Through the automatic dialing program, the abnormal reminder is transmitted to the preset abnormal processing terminal in the form of an automatic voice call, thereby realizing the monitoring of the on-site construction situation (abnormal situation).

[0017] In addition, the present application obtains solutions from a preset database through a construction process question-and-answer module, or generates an initial solution through an AI search engine, broadcasts the initial solution to each expert terminal, and obtains an evaluation conclusion. When a preset number of evaluation conclusions are correct, the initial solution is determined to be the final solution; when there are not a preset number of correct evaluation conclusions, a supplementary instruction is issued to any expert terminal with an incorrect evaluation conclusion to obtain the final solution supplemented by the expert terminal; the question-and-answer requirements and the final solution are stored in a preset database; and the problem that the existing engineering construction monitoring scheme does not involve auxiliary question-and-answer services for specific on-site construction content is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Some embodiments of the present disclosure are described below with reference to the accompanying drawings, in which: Figure 1 It is a schematic diagram of the internal structure of an engineering construction assistant implementation system provided in an embodiment of the present application.

[0019] Figure 2 It is a flow chart of a method for implementing an engineering construction assistant provided in an embodiment of the present application.

[0020] Figure 3 It is a schematic diagram of the internal structure of an engineering construction assistant implementation device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0021] It should be understood by those skilled in the art that the embodiments described below are only preferred embodiments of the present disclosure, and do not mean that the present disclosure can only be implemented through the preferred embodiments. The preferred embodiments are only used to explain the technical principles of the present disclosure, and are not used to limit the protection scope of the present disclosure. Based on the preferred embodiments provided by the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work should still fall within the protection scope of the present disclosure.

[0022] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0023] The technical solution proposed in the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0024] Figure 1 A construction assistant implementation system is provided in the embodiment of the present application. Figure 1 As shown, the system provided in the embodiment of the present application mainly includes: The on-site environment acquisition module 110 is used to obtain the number of on-site workers and the wearing of safety helmets, the depth of the foundation pit, the height of the slope, and the height of the tower crane through image acquisition and recognition equipment installed at the construction site; and to obtain the tower crane shaking range and the moving distance of the construction elevator at the current moment and the previous moment through sensors installed on the tower crane and the construction elevator.

[0025] It should be noted that the on-site environment acquisition module 110 is connected to the image acquisition and recognition device and the sensor respectively. The image acquisition and recognition device here is an existing device that can identify the wearing of a safety helmet in an image, the depth of a foundation pit, the height of a slope, and the height of a tower crane. This application does not limit the specific recognition process. In addition, the scheme for using sensors to detect the range of tower crane shaking can be: by installing sensors on key parts of the tower crane, such as booms, lifting arms and other structures, to collect data reflecting the operating status of the tower crane. Based on the collected operating status, it can be determined whether the shaking range of the tower crane is normal. The sensors on the construction elevator are mainly installed in key parts such as elevator cars and elevator shafts. They are used to collect elevator operation data in real time, sense the position, speed and other parameters of the elevator, and then obtain the moving distance of the construction elevator at the current moment and the previous moment.

[0026] The environmental anomaly detection module 120 is used to issue an abnormal reminder through a loudspeaker in the construction site when an abnormal situation occurs; through an automatic dialing program, the abnormal reminder is transmitted to a preset abnormality handling terminal in the form of an automatic voice call.

[0027] It should be noted that the abnormal situations are: the helmet is not worn or the shaking range exceeds the preset range or the moving distance is greater than the preset distance threshold.

[0028] Among them, when there is an abnormal situation, an abnormal reminder is made through the loudspeaker in the construction site, which can be specifically as follows: through the abnormal voice selection unit in the environmental abnormality detection module 120, when there is a situation where the safety helmet is not worn, a warning voice corresponding to not wearing a safety helmet is played through the loudspeaker in the construction site; when there is a shaking range exceeding a preset range, a warning voice corresponding to the shaking range exceeding the preset range in the construction site is played; when there is a moving distance greater than a preset distance threshold, a warning voice corresponding to the moving distance greater than the preset distance threshold is played through the loudspeaker in the construction site.

[0029] It should be noted that the corresponding relationship between the specific abnormal situation and the warning voice is previously preset, and this application directly calls this relationship.

[0030] Among them, through the automatic dialing program, the abnormal reminder is transmitted to the preset abnormality processing terminal in the form of an automatic voice call, which can be specifically: The automatic dialing unit in the environmental anomaly detection module 120 obtains the abnormal warning text corresponding to the abnormal situation when an abnormal situation occurs; uses TTS (Text To Speech) technology to convert the abnormal warning text into voice; the automatic dialing program is started and the preset abnormal processing terminal phone number is dialed; after the call is connected, the system automatically plays the synthesized abnormal warning voice.

[0031] The construction progress detection module 130 is used to obtain the number of on-site workers, the depth of the foundation pit, the height of the slope, and the height of the tower crane in each construction link of the same engineering project as the current one in the historical time period, and then input them into the preset classification algorithm as samples to obtain a trained preset classification algorithm, and then obtain the predicted construction link based on the current number of on-site workers, the depth of the foundation pit, the height of the slope, and the height of the tower crane; obtain the actual construction link uploaded by the preset construction terminal; when the predicted construction link is inconsistent with the actual construction link, generate an abnormal instruction to the third-party monitoring terminal to determine the current construction link through the third-party monitoring terminal.

[0032] It should be noted that the scheme for training the preset classification algorithm is an existing scheme, and the present application does not limit this. In addition, the preset classification algorithm may be a KNN algorithm (k-Nearest Neighbor K nearest neighbor algorithm).

[0033] The current construction link is determined through a third-party monitoring terminal, and the construction link uploaded by a user corresponding to the third-party monitoring terminal can be obtained as the current construction link.

[0034] The construction process question-answering module 140 is used to determine the corresponding expert terminal set according to the current construction link; when a question-answering demand is received through the preset interface, it is determined whether the solution corresponding to the current question-answering demand exists in the preset database; when it does not exist in the preset database, an initial solution is generated through the AI ​​search engine, and the initial solution is broadcast to each expert terminal to obtain an evaluation conclusion. When a preset number of evaluation conclusions are correct, the initial solution is determined to be the final solution; when a preset number of evaluation conclusions are not correct, a supplementary instruction is issued to any expert terminal whose evaluation conclusion is wrong to obtain the final solution supplemented by the expert terminal; the question-answering demand and the final solution are stored in the preset database.

[0035] Among them, according to the current construction link, the corresponding expert terminal set is determined, which can be specifically: The expert set determination unit in the construction process question-answering module 140 obtains the uploaded expert authentication information through a preset identification interface; wherein the expert authentication information includes at least: user terminal IP, participating project name, expert ID number, and construction link; when it is detected that the uploaded participating project name and expert ID number exist in the preset project information storage database, the user terminal IP is determined to be the expert terminal IP, and the correspondence between the expert terminal IP, construction link and project name is stored; the project name consistent with the current engineering construction project is determined from the preset project information storage database, and then the expert terminal set corresponding to each construction link of the current engineering construction project is determined.

[0036] In addition, the present application embodiment also provides a method for implementing an engineering construction assistant, such as Figure 2 As shown, the method provided in the embodiment of the present application mainly includes the following steps: Step 210: By using image acquisition and recognition equipment installed at the construction site, the number of on-site workers, the wearing of safety helmets, the depth of the foundation pit, the height of the slope, and the height of the tower crane are obtained; by using sensors installed on the tower crane and the construction elevator, the sway range of the tower crane and the moving distance of the construction elevator at the current moment and the previous moment are obtained.

[0037] Step 220: When an abnormal situation occurs, an abnormal reminder is issued through a loudspeaker in the construction site; through an automatic dialing program, the abnormal reminder is transmitted to a preset abnormality handling terminal in the form of an automatic voice call.

[0038] Among them, when there is an abnormal situation, the abnormal reminder is given through the loudspeaker in the construction site, which can be specifically: When a safety helmet is not worn, a warning voice corresponding to not wearing a safety helmet is played through the loudspeaker in the construction site; when the shaking range exceeds the preset range, a warning voice corresponding to the shaking range exceeding the preset range is played through the construction site; when the moving distance is greater than the preset distance threshold, a warning voice corresponding to the moving distance greater than the preset distance threshold is played through the loudspeaker in the construction site.

[0039] Among them, through the automatic dialing program, the abnormal reminder is transmitted to the preset abnormality processing terminal in the form of an automatic voice call, which can be specifically: When an abnormal situation occurs, obtain the abnormal warning text corresponding to the abnormal situation; use TTS technology to convert the abnormal warning text into voice; the automatic dialing program is started and the preset abnormal processing terminal phone number is dialed; after the call is connected, the system automatically plays the synthesized abnormal reminder voice.

[0040] Step 230, obtaining the number of on-site workers, the depth of the foundation pit, the height of the slope, and the height of the tower crane in each construction link of the same engineering project as the current one in the historical time period, and then inputting them into the preset classification algorithm as samples to obtain a trained preset classification algorithm, and then obtaining the predicted construction link based on the current number of on-site workers, the depth of the foundation pit, the height of the slope, and the height of the tower crane; obtaining the actual construction link uploaded by the preset construction terminal; when the predicted construction link is inconsistent with the actual construction link, generating an abnormal instruction to the third-party monitoring terminal to determine the current construction link through the third-party monitoring terminal.

[0041] Step 240, determine the corresponding expert terminal set according to the current construction link; when a question and answer requirement is received through the preset interface, determine whether the solution corresponding to the current question and answer requirement exists in the preset database; when it does not exist in the preset database, generate an initial solution through the AI ​​search engine, broadcast the initial solution to each expert terminal, obtain an evaluation conclusion, and when a preset number of evaluation conclusions are correct, determine the initial solution as the final solution; when a preset number of evaluation conclusions are not correct, send a supplementary instruction to any expert terminal with an erroneous evaluation conclusion to obtain the final solution supplemented by the expert terminal; store the question and answer requirement and the final solution in the preset database.

[0042] Among them, according to the current construction link, the corresponding expert terminal set is determined, which can be specifically: Obtain uploaded expert certification information through a preset identification interface; wherein the expert certification information includes at least: user terminal IP, participating project name, expert ID number, and construction link; when it is detected that the uploaded participating project name and expert ID number exist in the preset project information storage database, determine that the user terminal IP is the expert terminal IP, and store the correspondence between the expert terminal IP, construction link, and project name; determine the project name consistent with the current engineering construction project from the preset project information storage database, and then determine the expert terminal set corresponding to each construction link of the current engineering construction project.

[0043] The above is a method embodiment of the present application. Based on the same inventive concept, the present application embodiment also provides a construction assistant implementation device. Figure 3 As shown, the device includes: a processor; and a memory, on which executable codes are stored. When the executable codes are executed, the processor executes a method for implementing an engineering construction assistant as described in the above embodiment.

[0044] Specifically, the server side obtains the number of on-site workers and the wearing of safety helmets, the depth of the foundation pit, the height of the slope, and the height of the tower crane through the image acquisition and recognition equipment installed at the construction site; the sway range of the tower crane and the moving distance of the construction elevator at the current moment and the previous moment are obtained through the sensors installed on the tower crane and the construction elevator; when there is an abnormal situation, an abnormal reminder is made through the loudspeaker in the construction site; among which, the abnormal situation is: the safety helmet is not worn or the swaying range exceeds the preset range or the moving distance is greater than the preset distance threshold; through the automatic dialing program, the abnormal reminder is transmitted to the preset abnormal processing terminal in the form of an automatic voice call; the number of on-site workers in each construction link of the same engineering project as the current one in the historical time period, the depth of the foundation pit, the height of the slope, and the height of the tower crane are obtained, and then used as samples to input the preset classification algorithm to obtain the trained preset classification algorithm, and then according to the current number of on-site workers, the depth of the foundation pit, the height of the slope, and the height of the tower crane , the height of the slope, the height of the tower crane, and obtain the predicted construction link; obtain the preset construction terminal to upload the actual construction link; when the predicted construction link is inconsistent with the actual construction link, generate an abnormal instruction to the third-party monitoring terminal to determine the current construction link through the third-party monitoring terminal; according to the current construction link, determine the corresponding expert terminal set; when a question-and-answer demand is received through the preset interface, determine whether the solution corresponding to the current question-and-answer demand exists in the preset database; when it does not exist in the preset database, generate an initial solution through the AI ​​search engine, broadcast the initial solution to each expert terminal, and obtain an evaluation conclusion. When a preset number of evaluation conclusions are correct, determine the initial solution as the final solution; when a preset number of evaluation conclusions are not correct, send a supplementary instruction to any expert terminal with an incorrect evaluation conclusion to obtain the final solution supplemented by the expert terminal; store the question-and-answer demand and the final solution in the preset database.

[0045] In addition, an embodiment of the present application further provides a non-volatile computer storage medium on which executable instructions are stored. When the executable instructions are executed, a method for implementing an engineering construction assistant as described above is implemented.

[0046] So far, the technical solutions of the present disclosure have been described in combination with the above multiple embodiments, but it is easy for those skilled in the art to understand that the protection scope of the present disclosure is not limited to these specific embodiments. Without departing from the technical principles of the present disclosure, those skilled in the art can split and combine the technical solutions in the above-mentioned various embodiments, and can also make equivalent changes or replacements to the relevant technical features. Any changes, equivalent replacements, improvements, etc. made within the technical concept and / or technical principle of the present disclosure will fall within the protection scope of the present disclosure.

Claims

1. A construction assistant implementation system, characterized in that: The system comprises: The on-site environment acquisition module is used to obtain the number of on-site workers and the wearing of safety helmets, the depth of the foundation pit, the height of the slope, and the height of the tower crane through the image acquisition and recognition equipment installed at the construction site; through the sensors installed on the tower crane and the construction elevator, the tower crane shaking range and the moving distance of the construction elevator at the current moment and the previous moment are obtained; The environment anomaly detection module is used to issue an abnormal reminder through the loudspeaker in the construction site when an abnormal situation occurs; the abnormal situation is: the safety helmet is not worn or the shaking range exceeds the preset range or the moving distance is greater than the preset distance threshold; through the automatic dialing program, the abnormal reminder is transmitted to the preset abnormality processing terminal in the form of an automatic voice call; The construction process detection module is used to obtain the number of on-site workers, the depth of the foundation pit, the height of the slope, and the height of the tower crane in each construction link of the same engineering project as the current one in the historical time period, and then input them into the preset classification algorithm as samples to obtain a trained preset classification algorithm, and then obtain the predicted construction link according to the current number of on-site workers, the depth of the foundation pit, the height of the slope, and the height of the tower crane; obtain the actual construction link uploaded by the preset construction terminal; when the predicted construction link is inconsistent with the actual construction link, generate an abnormal instruction to the third-party monitoring terminal to determine the current construction link through the third-party monitoring terminal; The construction process question-answering module is used to determine the corresponding expert terminal set according to the current construction link; when a question-answering demand is received through the preset interface, it is determined whether the solution corresponding to the current question-answering demand exists in the preset database; when it does not exist in the preset database, an initial solution is generated through the AI ​​search engine, and the initial solution is broadcast to each expert terminal to obtain an evaluation conclusion. When a preset number of evaluation conclusions are correct, the initial solution is determined to be the final solution; when a preset number of evaluation conclusions are not correct, a supplementary instruction is issued to any expert terminal whose evaluation conclusion is wrong to obtain the final solution supplemented by the expert terminal; the question-answering demand and the final solution are stored in the preset database.

2. The engineering construction assistant implementation system according to claim 1, characterized in that: The environment anomaly detection module includes an abnormal speech selection unit, When a safety helmet is not worn, a warning voice corresponding to the safety helmet not being worn is played through the loudspeaker in the construction site; When the shaking range exceeds the preset range, a warning voice corresponding to the shaking range exceeding the preset range in the construction site is played; When the moving distance is greater than the preset distance threshold, a warning voice corresponding to the moving distance greater than the preset distance threshold is played through the loudspeaker in the construction site.

3. The engineering construction assistant implementation system according to claim 1, characterized in that: The environmental anomaly detection module includes an automatic dialing unit, Used to obtain the abnormal warning text corresponding to the abnormal situation when there is an abnormal situation; Use TTS technology to convert abnormal warning text into voice; The automatic dialing program starts and dials the preset exception handling terminal phone number; After the call is connected, the system automatically plays the synthesized abnormal reminder voice.

4. The engineering construction assistant implementation system according to claim 1, characterized in that: The construction process question answering module includes an expert set determination unit, Used to obtain uploaded expert certification information through the preset certification interface; the expert certification information at least includes: user terminal IP, participating project name, expert ID number, and construction stage; When it is detected that the uploaded participating project name and expert ID number exist in the preset project information storage database, the user terminal IP is determined to be the expert terminal IP, and the corresponding relationship between the expert terminal IP, construction link and project name is stored; Determine the project name consistent with the current engineering construction project from the preset project information storage database, and then determine the expert terminal set corresponding to each construction link of the current engineering construction project.

5. A method for implementing an engineering construction assistant, characterized in that: The method comprises: The image acquisition and recognition equipment installed at the construction site can obtain the number of on-site workers, the wearing of safety helmets, the depth of the foundation pit, the height of the slope, and the height of the tower crane; the sensors installed on the tower crane and the construction elevator can obtain the tower crane shaking range and the moving distance of the construction elevator at the current moment and the previous moment; When there is an abnormal situation, an abnormal reminder is issued through the loudspeaker in the construction site; the abnormal situation is: the safety helmet is not worn or the shaking range exceeds the preset range or the moving distance is greater than the preset distance threshold; through the automatic dialing program, the abnormal reminder is transmitted to the preset abnormal processing terminal in the form of an automatic voice call; Obtain the number of on-site workers, the depth of the foundation pit, the height of the slope, and the height of the tower crane in each construction link of the same engineering project as the current one in the historical time period, and then input them into the preset classification algorithm as samples to obtain a trained preset classification algorithm, and then obtain the predicted construction link based on the current number of on-site workers, the depth of the foundation pit, the height of the slope, and the height of the tower crane; obtain the actual construction link uploaded by the preset construction terminal; when the predicted construction link is inconsistent with the actual construction link, generate an abnormal instruction to the third-party monitoring terminal to determine the current construction link through the third-party monitoring terminal; According to the current construction stage, determine the corresponding expert terminal set; when receiving a question and answer demand through the preset interface, determine whether the solution corresponding to the current question and answer demand exists in the preset database; when it does not exist in the preset database, generate an initial solution through the AI ​​search engine, broadcast the initial solution to each expert terminal, and obtain an evaluation conclusion. When a preset number of evaluation conclusions are correct, determine the initial solution as the final solution; when a preset number of evaluation conclusions are not correct, send supplementary instructions to any expert terminal with an incorrect evaluation conclusion to obtain the final solution supplemented by the expert terminal; store the question and answer demand and the final solution in the preset database.

6. The method for implementing the engineering construction assistant according to claim 5, characterized in that: When there is an abnormal situation, the loudspeaker in the construction site will give an abnormal reminder, including: When a helmet is not worn, a warning voice is played through the loudspeaker in the construction site. When the shaking range exceeds the preset range, a warning voice corresponding to the shaking range exceeding the preset range in the construction site is played; When the moving distance is greater than the preset distance threshold, a warning voice corresponding to the moving distance greater than the preset distance threshold is played through the loudspeaker in the construction site.

7. The method for implementing an engineering construction assistant according to claim 5, characterized in that: Through the automatic dialing program, the abnormal reminder is transmitted to the preset abnormal processing terminal in the form of an automatic voice call, including: When an abnormal situation occurs, obtain the abnormal warning text corresponding to the abnormal situation; Use TTS technology to convert abnormal warning text into voice; The automatic dialing program starts and dials the preset exception handling terminal phone number; After the call is connected, the system automatically plays the synthesized abnormal reminder voice.

8. The method for implementing an engineering construction assistant according to claim 5, characterized in that: According to the current construction stage, determine the corresponding expert terminal set, including: Obtain uploaded expert certification information through the preset certification interface; the expert certification information at least includes: user terminal IP, participating project name, expert ID number, and construction link; When it is detected that the uploaded participating project name and expert ID number exist in the preset project information storage database, the user terminal IP is determined to be the expert terminal IP, and the corresponding relationship between the expert terminal IP, construction link and project name is stored; Determine the project name consistent with the current engineering construction project from the preset project information storage database, and then determine the expert terminal set corresponding to each construction link of the current engineering construction project.

9. A construction assistant implementation device, characterized in that: The device comprises: processor; and a memory having executable codes stored thereon, which, when executed, causes the processor to execute a method for implementing an engineering construction assistant as described in any one of claims 5-8.

10. A non-volatile computer storage medium, characterized in that: Computer instructions are stored thereon, and when the computer instructions are executed, the method for implementing an engineering construction assistant as described in any one of claims 5-8 is implemented.

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