A smart management method for road occupation construction

Abstract

The present invention provides a method for intelligent management of road occupation construction, including S1: pre-stored project data table; S2: obtaining a trained inspection planning generation model and generating an inspection plan; S3: obtaining a trained acquisition construction model and generating construction parameters of an acquisition device; S4: arranging an acquisition device; S5: collecting data and storing the data in a project data table; S6: transmitting the new project data table to the review group for review and returning the review result, and the processor makes corresponding processing; S7: after all the reviews are passed, the processor issues an acceptance instruction, the acceptance group conducts acceptance and feeds back the acceptance result, and the processor makes corresponding processing. The present invention can generate an inspection plan for the project and arrange an acquisition device, record the collected data and pass it through review and acceptance, realize the planning of inspection of the construction situation of the project, and conduct separate inspections, reviews and acceptances on the projects, realize the recording and storage of project data, and ensure the traceability of the project construction.

Description

Technical Field

[0001] The present invention relates to the technical field of road occupation construction management methods, and in particular to an intelligent management method for road occupation construction. Background Art

[0002] With the rapid development of urban construction, urbanization has gradually shifted from scale expansion to stock renewal, and the number of urban road comprehensive improvement and renovation projects has continued to grow. Urban road projects often require road construction and fencing, which in turn occupies the traffic space of municipal roads, causing a certain degree of traffic congestion. The problem of "urban road breaking and road occupation construction" has always troubled urban traffic safety management departments. Since the construction projects of "urban road breaking and road occupation construction" have the problems of long road occupation time and large occupation range, they bring great traffic pressure to surrounding roads and seriously affect the normal life and travel of residents along the road. Summary of the invention

[0003] In view of this, the problem to be solved by the present invention is to provide an intelligent management method for road occupation construction that can inspect planning and arrange vehicle dispatch.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is: a method for intelligent management of road occupation construction, comprising the following steps:

[0005] Step S1: storing the project data in the preset project data table;

[0006] Step S2: obtaining a trained inspection plan generation model, wherein the inspection plan generation model is trained using data in the project data table, so that the trained inspection plan generation model generates an inspection plan;

[0007] Step S3: Acquire a trained acquisition construction model, wherein the acquisition construction model is trained using the inspection plan in step S2 and the data in the project data table, so that the trained acquisition construction model generates construction parameters of the acquisition device;

[0008] Step S4: Arrange the collection device according to the construction parameters of the collection device, and connect the collection device to the processor data to realize the transmission of the collected data;

[0009] Step S5: the processor controls the collection part of the collection device to start, and stores the collected data into the project data table of the project after classification, so as to update the project data table;

[0010] Step S6: The processor transmits the updated project data table to the review group for review and returns the review results, and the processor makes corresponding processing according to the review results;

[0011] Step S7: After the processor reviews the project data table and determines that all construction areas of the project have passed the review, the processor pushes the latest project data table to the acceptance team and issues an acceptance instruction. The acceptance team accepts the project and feedbacks the acceptance result:

[0012] When the acceptance group reports that the acceptance is passed, the processor packages the project information and generates a project data package for storage.

[0013] In step S1, the project data includes the construction area, construction time, construction personnel information and construction vehicle information.

[0014] In step S2, several groups of project data and map information are used as inspection training groups, and inspection plans corresponding to several groups of project data are used as inspection verification groups:

[0015] Use the inspection training group for training to obtain the inspection plan generation model, and then match it with the inspection verification group:

[0016] When the inspection plan of the inspection training group matches the inspection plan of the inspection verification group by ≥90%, the trained inspection plan generation model is obtained;

[0017] When the matching degree between the inspection plan of the inspection training group and the inspection plan of the inspection verification group is less than 90%, the inspection plan generation model is retrained.

[0018] In step S3, several groups of inspection plans, data information in the project data table, and map information are used as construction training groups, and the construction models corresponding to the several groups of inspection plans, data information in the project data table, and map information are used as construction verification groups:

[0019] Use the training group to train, obtain the acquisition model, and then match it by building a validation group:

[0020] When the matching degree between the constructed model of the training group and the constructed model of the validation group is ≥90%, the trained acquisition constructed model is obtained;

[0021] When the matching degree between the constructed model of the training group and the constructed model of the validation group is less than 90%, the constructed model is retrained.

[0022] The inspection plan includes dividing the construction area, allocating the construction time of the divided construction areas one by one, arranging the work and rest time of the construction personnel, and arranging and dispatching the construction vehicles according to the actual vehicle restriction situation.

[0023] The acquisition device includes three groups of camera equipment, which are respectively used to acquire the construction site, construction personnel and construction vehicles. The camera equipment are all connected to the processor to acquire the construction site, the entry and exit time of construction personnel and the entry and exit time of construction vehicles.

[0024] In step S5, the processor controls the collection device in the construction area of ​​the process in the inspection plan to start, and the processor creates and names a new worksheet according to the construction area where the collection device is located. The processor classifies the collected data information and stores the classified data in the worksheet to update the project data table.

[0025] Preferably, the processor creates a new worksheet according to the construction area where the collection device is located and names it after the construction area. The processor classifies the collected data information according to the location of the collection device and creates a new data row corresponding to the location of the collection device in the worksheet. The classified data information is respectively stored in the data rows of the worksheet to update the project data table.

[0026] In step S6, after the project data table is updated, the processor pushes the new project data table to the review group, and the reviewers in the review group review and feedback the review results to the processor:

[0027] When the audit result fed back by the audit team is that the audit is passed, the processor marks the suffix of the name of the worksheet as audit passed, issues an instruction to inspect the next area, and proceeds to step S5;

[0028] When the audit result fed back by the audit team is that the audit fails, the processor issues an instruction to re-inspect the area and proceeds to step S5;

[0029] In step S7, when the processor reviews the project data table, the suffixes of all worksheets in the project data table are marked as approved, which means that all construction areas of the project have been inspected and approved. The processor pushes the latest project data table to the acceptance group and issues an acceptance instruction.

[0030] In step S7, the acceptance team accepts the project and provides feedback on the acceptance result:

[0031] When the acceptance group reports that the acceptance is passed, the processor packages the project information and generates a project data package for storage;

[0032] When the acceptance group reports that the acceptance has failed, the processor will restart the inspection process of the construction area that has reported that the acceptance has failed and suffix its worksheet with "acceptance has failed", and proceed to step S5.

[0033] Preferably, when the acceptance group reports that the acceptance is passed, the processor packages the project information to generate a project data package, that is, based on the project name and construction area, the latest project data table is packaged into a project data package for storage.

[0034] The advantages and positive effects of the present invention are:

[0035] (1) The present invention generates an inspection plan for the project and deploys a collection device, records the collected data and undergoes review by the review group and acceptance by the acceptance group, thereby realizing the inspection planning of the project construction status, and conducting separate inspections, reviews and acceptances on the projects. In addition, the present invention realizes the recording and storage of project data, thereby ensuring the traceability of the project construction.

[0036] (2) The present invention generates an inspection plan for the project, thereby planning the scheduling of the project's construction personnel and construction vehicles, improving the time management of the construction personnel, and avoiding the problem of fines caused by vehicle restrictions. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0038] Figure 1 It is a flow chart of steps S1 to S7 of a road occupation construction intelligent management method of the present invention;

[0039] Figure 2 It is a flow chart of step S2 of a method for intelligent management of road occupation construction of the present invention;

[0040] Figure 3 It is a flow chart of step S3 of a method for intelligent management of road occupation construction of the present invention;

[0041] Figure 4 It is a flow chart of steps S5 to S7 of a method for intelligent management of road occupation construction of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] It should be noted that when a component is referred to as being "fixed to" another component, it may be directly on the other component or there may also be a component centered. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may also be a component centered. When a component is considered to be "set on" another component, it may be directly set on the other component or there may also be a component centered. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0044] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0045] like Figure 1 As shown, the present invention provides a method for intelligent management of road occupation construction, comprising the following steps:

[0046] Step S1: storing the project data in the preset project data table;

[0047] Step S2: obtaining a trained inspection plan generation model, wherein the inspection plan generation model is trained using data in the project data table, so that the trained inspection plan generation model generates an inspection plan;

[0048] Step S3: Acquire a trained acquisition construction model, wherein the acquisition construction model is trained using the inspection plan in step S2 and the data in the project data table, so that the trained acquisition construction model generates construction parameters of the acquisition device;

[0049] Step S4: Arrange the collection device according to the construction parameters of the collection device, and connect the collection device to the processor data to realize the transmission of the collected data;

[0050] Step S5: the processor controls the collection part of the collection device to start, and stores the collected data into the project data table of the project after classification, so as to update the project data table;

[0051] Step S6: The processor transmits the updated project data table to the review group for review and returns the review results, and the processor makes corresponding processing according to the review results;

[0052] Step S7: After the processor reviews the project data table and determines that all construction areas of the project have passed the review, the processor pushes the latest project data table to the acceptance team and issues an acceptance instruction. The acceptance team accepts the project and feedbacks the acceptance result:

[0053] When the acceptance group reports that the acceptance is passed, the processor packages the project information and generates a project data package for storage.

[0054] In step S1, the project data includes the construction area, construction time, construction personnel information and construction vehicle information.

[0055] like Figure 2 As shown, in step S2, several groups of project data and map information are used as inspection training groups, and the inspection plans corresponding to several groups of project data are used as inspection verification groups:

[0056] Use the inspection training group for training to obtain the inspection plan generation model, and then match it with the inspection verification group:

[0057] When the inspection plan of the inspection training group matches the inspection plan of the inspection verification group by ≥90%, the trained inspection plan generation model is obtained;

[0058] When the matching degree between the inspection plan of the inspection training group and the inspection plan of the inspection verification group is less than 90%, the inspection plan generation model is retrained.

[0059] like Figure 3 As shown, in step S3, several groups of inspection plans, data information in the project data table and map information are used as construction training groups, and the construction models corresponding to the several groups of inspection plans, data information in the project data table and map information are used as construction verification groups:

[0060] Use the training group to train, obtain the acquisition model, and then match it by building a validation group:

[0061] When the matching degree between the constructed model of the training group and the constructed model of the validation group is ≥90%, the trained acquisition constructed model is obtained;

[0062] When the matching degree between the constructed model of the training group and the constructed model of the validation group is less than 90%, the constructed model is retrained.

[0063] The inspection plan includes dividing the construction area, allocating the construction time of the divided construction areas one by one, arranging the work and rest time of the construction personnel, and arranging and dispatching the construction vehicles according to the actual vehicle restriction situation.

[0064] The acquisition device includes three groups of camera equipment, which are respectively used to acquire the construction site, construction personnel and construction vehicles. The camera equipment are all connected to the processor to acquire the construction site, the entry and exit time of construction personnel and the entry and exit time of construction vehicles.

[0065] In the embodiment, the three groups of camera devices are all existing camera devices and will not be described in detail here.

[0066] like Figure 4 As shown, in step S5, the processor controls the collection device in the construction area of ​​the process in the inspection plan to start, and the processor creates and names a new worksheet according to the construction area where the collection device is located. The processor classifies the collected data information and stores the classified data in the worksheet to update the project data table.

[0067] In an embodiment, the processor creates a new worksheet according to the construction area where the collection device is located and names it after the construction area. The processor classifies the collected data information according to the location of the collection device and creates a new data row corresponding to the location of the collection device in the worksheet. The classified data information is respectively stored in the data rows of the worksheet to update the project data table.

[0068] In step S6, after the project data table is updated, the processor pushes the new project data table to the review group, and the reviewers in the review group review and feedback the review results to the processor:

[0069] When the audit result fed back by the audit team is that the audit is passed, the processor marks the suffix of the name of the worksheet as audit passed, issues an instruction to inspect the next area, and proceeds to step S5;

[0070] When the audit result fed back by the audit team is that the audit fails, the processor issues an instruction to re-inspect the area and proceeds to step S5;

[0071] In step S7, when the processor reviews the project data table, the suffixes of all worksheets in the project data table are marked as approved, which means that all construction areas of the project have been inspected and approved. The processor pushes the latest project data table to the acceptance group and issues an acceptance instruction.

[0072] In step S7, the acceptance team accepts the project and provides feedback on the acceptance result:

[0073] When the acceptance group reports that the acceptance is passed, the processor packages the project information and generates a project data package for storage;

[0074] When the acceptance group reports that the acceptance has failed, the processor will restart the inspection process of the construction area that has reported that the acceptance has failed and suffix its worksheet with "acceptance has failed", and proceed to step S5.

[0075] In an embodiment, when the acceptance group reports that the acceptance is passed, the processor packages the project information to generate a project data package, that is, based on the project name and construction area, the latest project data table is packaged into a project data package for storage.

[0076] The characteristics of the present invention are: by generating an inspection plan for the project and deploying a collection device, the collected data is recorded and reviewed by the review group and accepted by the acceptance group, so as to realize the planning of inspections on the construction status of the project, and conduct separate inspections, reviews and acceptances on the projects, and realize recording and storage of project data to ensure the traceability of the project construction; by generating an inspection plan for the project, the scheduling of the construction personnel and construction vehicles of the project is planned, the time management of the construction personnel is increased, and the problem of fines caused by vehicle restrictions is avoided.

[0077] The embodiments of the present invention are described in detail above, but the contents described are only preferred embodiments of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of this patent.

Claims

1. A method for intelligent management of road occupation construction, characterized in that: The following steps are involved: Step S1: storing the project data in a preset project data table, the project data including the construction area, construction time, construction personnel information and construction vehicle information; Step S2: Obtain a trained inspection plan generation model, wherein the inspection plan generation model is trained using the data in the project data table, that is, several groups of project data and map information are used as inspection training groups, and the inspection plans corresponding to the several groups of project data are used as inspection verification groups: Use the inspection training group for training to obtain the inspection plan generation model, and then match it with the inspection verification group: When the inspection plan of the inspection training group matches the inspection plan of the inspection verification group by ≥90%, the trained inspection plan generation model is obtained; When the inspection plan of the inspection training group matches the inspection plan of the inspection verification group less than 90%, the inspection plan generation model is retrained so that the trained inspection plan generation model can generate the inspection plan. The inspection plan includes dividing the construction area, allocating the construction time of the divided construction areas one by one, arranging the work and rest time of the construction personnel, and arranging and dispatching the construction vehicles according to the actual vehicle restriction situation; Step S3: Acquire a trained acquisition construction model, wherein the acquisition construction model is trained using the inspection plan in step S2 and the data in the project data table, so that the trained acquisition construction model generates construction parameters of the acquisition device; Step S4: Arrange the collection device according to the construction parameters of the collection device, and connect the collection device to the processor data to realize the transmission of the collected data; Step S5: the processor controls the collection part of the collection device to start, and stores the collected data into the project data table of the project after classification, so as to update the project data table; Step S6: The processor transmits the updated project data table to the review group for review and returns the review results, and the processor makes corresponding processing according to the review results; Step S7: After the processor reviews the project data table and determines that all construction areas of the project have passed the review, the processor pushes the latest project data table to the acceptance team and issues an acceptance instruction. The acceptance team accepts the project and feedbacks the acceptance result: When the acceptance group reports that the acceptance is passed, the processor packages the project information and generates a project data package for storage.

2. A road occupation construction intelligent management method according to claim 1, characterized in that: In step S3, several groups of inspection plans, data information in the project data table, and map information are used as construction training groups, and the construction models corresponding to the several groups of inspection plans, data information in the project data table, and map information are used as construction verification groups: Use the training group to train, obtain the acquisition model, and then match it by building a validation group: When the matching degree between the constructed model of the training group and the constructed model of the validation group is ≥90%, the trained acquisition constructed model is obtained; When the matching degree between the constructed model of the training group and the constructed model of the validation group is less than 90%, the constructed model is retrained.

3. A road occupation construction intelligent management method according to claim 2, characterized in that: The acquisition device includes three groups of camera equipment, which are respectively used to acquire the construction site, construction personnel and construction vehicles. The camera equipment are all connected to the processor to acquire the construction site, the entry and exit time of construction personnel and the entry and exit time of construction vehicles.

4. A road occupation construction intelligent management method according to claim 3, characterized in that: In step S5, the processor controls the collection device in the construction area of ​​the process in the inspection plan to start, and the processor creates and names a new worksheet according to the construction area where the collection device is located. The processor classifies the collected data information and stores the classified data in the worksheet to update the project data table.

5. A method for intelligent management of road occupation construction according to claim 4, characterized in that: In step S6, after the project data table is updated, the processor pushes the new project data table to the review group, and the reviewers in the review group review and feedback the review results to the processor: When the audit result fed back by the audit team is that the audit is passed, the processor marks the suffix of the name of the worksheet as audit passed, issues an instruction to inspect the next area, and proceeds to step S5; When the audit result fed back by the audit team is that the audit fails, the processor issues an instruction to re-inspect the area and proceeds to step S5.

6. A method for intelligent management of road occupation construction according to claim 5, characterized in that: In step S7, when the processor reviews the project data table, the suffixes of all worksheets in the project data table are marked as approved, which means that all construction areas of the project have been inspected and approved. The processor pushes the latest project data table to the acceptance group and issues an acceptance instruction.

7. A method for intelligent management of road occupation construction according to claim 6, characterized in that: In step S7, the acceptance team accepts the project and provides feedback on the acceptance result: When the acceptance group reports that the acceptance is passed, the processor packages the project information and generates a project data package for storage; When the acceptance group reports that the acceptance has failed, the processor will restart the inspection process of the construction area that has reported that the acceptance has failed and suffix its worksheet with "acceptance has failed", and proceed to step S5.

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