Construction operation risk identification method and device, computer equipment, readable storage medium and program product

Abstract

The invention relates to a construction operation risk identification method and device, equipment, a storage medium and a program product, and relates to the technical field of electric power safety. By adopting the method, the construction operation risk identification efficiency and accuracy can be improved. The method comprises the following steps: acquiring operation plan information of a project to be constructed, and integrating and dividing the operation plan information to obtain monthly plan information and weekly plan information of the project to be constructed; respectively inputting the monthly plan information and the weekly plan information into a preset plan information identification model to obtain a plan information identification result output by the plan information identification model; adjusting the monthly plan information and the weekly plan information according to the plan information identification result to obtain updated plan information, and determining a target risk identification rule matched with the updated plan information in preset risk identification rules; and performing risk identification on the updated plan information according to a target risk identification rule to obtain a risk identification result of the to-be-constructed project.

Description

Technical Field

[0001] The present application relates to the field of power safety technology, and in particular to a method, device, computer equipment, computer-readable storage medium and computer program product for identifying construction operation risks. Background Art

[0002] In the past power grid construction process, operational risks are inevitable. The larger the number of construction projects, the more difficult it is to control on-site operational risks, and more resources need to be invested in risk management. Judging from the results of on-site safety inspections at all levels, there are still many unsafe operating behaviors at the work sites of various units.

[0003] The risk management methods in traditional technologies are post-analysis, which is time-delayed. At the same time, the monitoring of the work site requires manual video viewing, which makes it difficult to maintain full concentration for a long time, resulting in easy omission of key risks in the operation process, leading to low efficiency in identifying construction operation risks. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for identifying construction operation risks in response to the above-mentioned technical problems.

[0005] In a first aspect, the present application provides a method for identifying construction operation risks, comprising:

[0006] Acquire the operation plan information of the project to be constructed, integrate and divide the operation plan information, and obtain the monthly plan information and weekly plan information of the project to be constructed;

[0007] Inputting the monthly plan information and the weekly plan information into a preset plan information recognition model respectively, and obtaining a plan information recognition result output by the plan information recognition model;

[0008] According to the plan information identification result, the monthly plan information and the weekly plan information are adjusted to obtain updated plan information, and a target risk identification rule matching the updated plan information is determined in the preset risk identification rules;

[0009] According to the target risk identification rule, risk identification is performed on the updated plan information to obtain a risk identification result for the project to be constructed.

[0010] In one embodiment, the operation plan information is integrated and divided to obtain the monthly plan information and weekly plan information of the project to be constructed, including:

[0011] The work plan information is extracted to obtain the work tasks and plan list of the project to be constructed; the work tasks are split into monthly task quantities according to the plan list; the monthly plan information is generated according to the monthly constructible time and the monthly task quantity; the monthly task quantity is further split into weekly task quantities, and the weekly plan information is generated according to the weekly constructible time and the weekly task quantity.

[0012] In one embodiment, before the monthly plan information and the weekly plan information are input into a preset plan information recognition model respectively, the method further includes:

[0013] According to the plan information types of the monthly plan information and the weekly plan information, plan information recognition models for the plan information types are respectively constructed; feedback data of the plan information recognition model is obtained, and according to the feedback data, the plan information recognition model is updated in real time to obtain an updated plan information recognition model as the preset plan information recognition model.

[0014] In one embodiment, before performing risk identification on the updated plan information according to the target risk identification rule to obtain the risk identification result of the project to be constructed, the method further includes:

[0015] According to the updated plan information, the project risk value of the project to be constructed is counted; and according to the project risk value, candidate construction projects that meet the risk threshold condition are identified in the project to be constructed.

[0016] In one embodiment, the risk identification of the updated plan information is performed according to the target risk identification rule to obtain the risk identification result of the project to be constructed, including:

[0017] Obtain the risk score corresponding to the target risk identification rule to obtain the total risk score of the candidate construction project; among the candidate construction projects, identify the candidate construction projects whose total risk score exceeds a preset risk score value as risky construction projects; and use the risky construction projects as risk identification results for the projects to be constructed.

[0018] In one embodiment, the method further comprises:

[0019] The risk identification result is format converted according to a preset format to obtain a risk identification result in a target format; and corresponding risk warning information is generated and pushed according to the risk identification result in the target format.

[0020] In a second aspect, the present application also provides a construction operation risk identification device, comprising:

[0021] The operation division module is used to obtain the operation plan information of the project to be constructed, integrate and divide the operation plan information, and obtain the monthly plan information and weekly plan information of the project to be constructed;

[0022] An information recognition module, used for inputting the monthly plan information and the weekly plan information into a preset plan information recognition model respectively, and obtaining a plan information recognition result output by the plan information recognition model;

[0023] A rule matching module is used to adjust the monthly plan information and the weekly plan information according to the plan information identification result to obtain updated plan information, and determine a target risk identification rule that matches the updated plan information in a preset risk identification rule;

[0024] The risk identification module is used to perform risk identification on the updated plan information according to the target risk identification rules to obtain the risk identification result of the project to be constructed.

[0025] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0026] Acquire the work plan information of the project to be constructed, integrate and divide the work plan information, and obtain the monthly plan information and weekly plan information of the project to be constructed; input the monthly plan information and the weekly plan information into a preset plan information recognition model respectively, and obtain the plan information recognition result output by the plan information recognition model; according to the plan information recognition result, adjust the monthly plan information and the weekly plan information to obtain updated plan information, and determine the target risk identification rule that matches the updated plan information in the preset risk identification rule; according to the target risk identification rule, perform risk identification on the updated plan information to obtain the risk identification result of the project to be constructed.

[0027] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0028] Acquire the work plan information of the project to be constructed, integrate and divide the work plan information, and obtain the monthly plan information and weekly plan information of the project to be constructed; input the monthly plan information and the weekly plan information into a preset plan information recognition model respectively, and obtain the plan information recognition result output by the plan information recognition model; according to the plan information recognition result, adjust the monthly plan information and the weekly plan information to obtain updated plan information, and determine the target risk identification rule that matches the updated plan information in the preset risk identification rule; according to the target risk identification rule, perform risk identification on the updated plan information to obtain the risk identification result of the project to be constructed.

[0029] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0030] Acquire the work plan information of the project to be constructed, integrate and divide the work plan information, and obtain the monthly plan information and weekly plan information of the project to be constructed; input the monthly plan information and the weekly plan information into a preset plan information recognition model respectively, and obtain the plan information recognition result output by the plan information recognition model; according to the plan information recognition result, adjust the monthly plan information and the weekly plan information to obtain updated plan information, and determine the target risk identification rule that matches the updated plan information in the preset risk identification rule; according to the target risk identification rule, perform risk identification on the updated plan information to obtain the risk identification result of the project to be constructed.

[0031] The above-mentioned construction operation risk identification method, device, computer equipment, computer-readable storage medium and computer program product integrate and divide the operation plan information to obtain the monthly plan information and weekly plan information of the project to be constructed, input the monthly plan information and weekly plan information into a preset plan information identification model respectively, obtain the plan information identification result output by the plan information identification model, adjust the monthly plan information and weekly plan information according to the plan information identification result, obtain updated plan information, and determine the target risk identification rule that matches the updated plan information in the preset risk identification rule, and identify the risk of the updated plan information according to the target risk identification rule to obtain the risk identification result of the project to be constructed, thereby improving the efficiency and accuracy of construction operation risk identification, strengthening the management and control of infrastructure site risks, avoiding a large amount of manual participation, enhancing the timeliness of risk warning and the convenience of information display and query, ensuring the effective implementation of risk management work, and being conducive to improving the safety of power construction operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0033] FIG1 is a diagram showing an application environment of a method for identifying construction operation risks in one embodiment;

[0034] Figure 2 A schematic diagram of a flow chart of a method for identifying construction operation risks in one embodiment;

[0035] Figure 3 A flowchart of the steps of integrating and dividing a job plan in one embodiment;

[0036] Figure 4 A schematic diagram of a flow chart of a method for identifying construction operation risks in a specific embodiment;

[0037] Figure 5 It is a structural block diagram of a device for identifying construction operation risks in one embodiment;

[0038] FIG. 6 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0040] The method for identifying construction operation risks provided in the embodiment of the present application can be applied in the application environment shown in FIG1 . The terminal communicates with the server via a network. The data storage system can store data that the server needs to process. The data storage system can be integrated on the server, or placed on the cloud or other network servers.

[0041] Specifically, the method for identifying construction operation risks provided in the embodiments of the present application can be executed by a server.

[0042] Exemplarily, the server obtains the work plan information of the project to be constructed, integrates and divides the work plan information, and obtains the monthly plan information and weekly plan information of the project to be constructed; the server inputs the monthly plan information and weekly plan information into a preset plan information recognition model respectively, and obtains the plan information recognition result output by the plan information recognition model; the server adjusts the monthly plan information and weekly plan information according to the plan information recognition result to obtain updated plan information, and determines the target risk identification rule that matches the updated plan information in the preset risk identification rule; the server performs risk identification on the updated plan information according to the target risk identification rule to obtain the risk identification result of the project to be constructed.

[0043] In the application environment shown in FIG1 , the terminal may be, but is not limited to, various personal computers, notebook computers, smart phones, and tablet computers. The server may be implemented as an independent server or a server cluster consisting of multiple servers.

[0044] In one embodiment, Figure 2 As shown, a method for identifying construction operation risks is provided, and the method is applied to the server in FIG1 as an example for explanation, including the following steps:

[0045] Step S201, obtaining the operation plan information of the project to be constructed, integrating and dividing the operation plan information, and obtaining the monthly plan information and weekly plan information of the project to be constructed.

[0046] Among them, the work plan information refers to a detailed construction work plan formulated based on specific construction tasks, construction requirements and time arrangements.

[0047] Specifically, the server obtains the work plan information of the project to be constructed, splits the work tasks in the work plan information into monthly task volume and weekly workload, and obtains monthly plan information and weekly plan information of the project to be constructed based on the monthly task volume and weekly workload.

[0048] Step S202, inputting the monthly plan information and the weekly plan information into a preset plan information recognition model respectively, and obtaining a plan information recognition result output by the plan information recognition model.

[0049] Among them, the plan information recognition model is a model used to automatically extract and identify plan-related information from text or other input data. This model is usually used in task management, project management, time planning and other fields. The purpose is to help understand, parse and organize information in order to better arrange and execute tasks.

[0050] Specifically, the server inputs the monthly plan information and the weekly plan information into a preset plan information recognition model to recognize plan-related information, and obtains a plan information recognition result output by the plan information recognition model.

[0051] Step S203, according to the plan information identification result, the monthly plan information and the weekly plan information are adjusted to obtain updated plan information, and the target risk identification rule matching the updated plan information is determined in the preset risk identification rules.

[0052] The target risk identification rule refers to a rule that matches the updated factor information among various pre-defined risk identification rules.

[0053] Specifically, the server adds the plan information identification result to the monthly plan information and the weekly plan information to obtain updated plan information, and determines the target risk identification rule that matches the updated plan information among the preset risk identification rules.

[0054] Step S204, performing risk identification on the updated plan information according to the target risk identification rule to obtain the risk identification result of the project to be constructed.

[0055] Among them, the risk identification result refers to the judgment result of whether the project to be constructed is a risky construction project obtained according to the risk score corresponding to each target risk identification rule.

[0056] Specifically, the server obtains and analyzes the target risk identification rules, and based on the analysis results, performs risk identification on the updated plan information to obtain risk identification results for the project to be constructed.

[0057] In the above-mentioned method for identifying construction operation risks, the monthly plan information and weekly plan information of the project to be constructed are obtained by integrating and dividing the operation plan information, and the monthly plan information and weekly plan information are respectively input into a preset plan information identification model to obtain a plan information identification result output by the plan information identification model. According to the plan information identification result, the monthly plan information and weekly plan information are adjusted to obtain updated plan information, and in the preset risk identification rules, a target risk identification rule matching the updated plan information is determined. According to the target risk identification rule, the updated plan information is identified for risk, and the risk identification result of the project to be constructed is obtained, thereby improving the efficiency and accuracy of construction operation risk identification, strengthening the management and control of infrastructure site risks, avoiding a large amount of manual participation, enhancing the timeliness of risk warning and the convenience of information display and query, ensuring the effective implementation of risk management work, and being conducive to improving the safety of power construction operations.

[0058] In one embodiment, if Figure 3 As shown, in the above step S201, the operation plan information is integrated and divided to obtain the monthly plan information and weekly plan information of the project to be constructed, which specifically includes the following steps:

[0059] Step S301, extracting the work plan information to obtain the work tasks and plan list of the project to be constructed, and splitting the work tasks into monthly task quantities according to the plan list.

[0060] Step S302, generating monthly planning information according to the monthly available construction time and monthly task volume.

[0061] Step S303, further splitting the monthly task volume into weekly task volume, and generating weekly plan information based on the weekly construction time and weekly task volume.

[0062] Specifically, the server extracts the work plan information, obtains the work tasks and plan lists of the projects to be constructed, and splits the work tasks into monthly task quantities according to the plan list; generates monthly plan information according to the monthly available construction time and the monthly task quantity; further splits the monthly task quantity into weekly task quantities, and generates weekly plan information according to the weekly available construction time and weekly task quantity.

[0063] In this embodiment, by splitting the work tasks into monthly task quantities and weekly task quantities in turn, and generating monthly plan information and weekly plan information according to the monthly available construction time and weekly available construction time, the timeliness of risk warning and the convenience of information display and query are enhanced.

[0064] In one embodiment, before the monthly plan information and the weekly plan information are respectively input into the preset plan information recognition model, the method of the present application further includes the following steps:

[0065] According to the plan information types of monthly plan information and weekly plan information, plan information recognition models for the plan information types are respectively constructed; feedback data of the plan information recognition model is obtained, and according to the feedback data, the plan information recognition model is updated in real time to obtain the updated plan information recognition model as the preset plan information recognition model.

[0066] Among them, the feedback data of the planning information recognition model can be the historical output data obtained by processing the neural network model.

[0067] Specifically, the server determines the plan information types of monthly plan information and weekly plan information, and constructs plan information recognition models for the plan information types according to the corresponding plan information types; obtains feedback data of the plan information recognition model, and updates the model parameters of the plan information recognition model in real time according to the effective feedback data, to obtain an updated plan information recognition model as the preset plan information recognition model.

[0068] In this embodiment, by obtaining feedback data of the plan information recognition model and updating the plan information recognition model in real time based on the feedback data, the plan information recognition model can be updated and corrected in real time through the latest feedback data, which is conducive to obtaining a more accurate neural network model.

[0069] In one embodiment, according to the target risk identification rule, risk identification is performed on the updated plan information, and before the risk identification result of the project to be constructed is obtained, the method of the present application further includes the following steps:

[0070] According to the updated plan information, the project risk values ​​of the projects to be constructed are calculated; according to the project risk values, candidate construction projects that meet the risk threshold conditions are identified among the projects to be constructed.

[0071] In the above step S204, risk identification is performed on the updated plan information according to the target risk identification rule to obtain the risk identification result of the project to be constructed, which specifically includes the following steps:

[0072] Obtain the risk score corresponding to the target risk identification rule to obtain the total risk score of the candidate construction project; among the candidate construction projects, identify the candidate construction projects whose total risk score exceeds the preset risk score value as risky construction projects; and use the risky construction projects as risk identification results for the projects to be constructed.

[0073] Among them, candidate construction projects can be projects to be constructed that have certain potential risks; risk score can be a scale to measure the size of risk, the higher the score, the greater the risk; risky construction projects can be projects to be constructed that have safety risks.

[0074] Specifically, the server counts the project risk values ​​of the projects to be constructed based on the updated plan information, and then identifies candidate construction projects that meet the risk threshold conditions among the projects to be constructed based on the project risk values; then, the server obtains the risk score corresponding to the target risk identification rule to obtain the total risk score of the candidate construction projects; among the candidate construction projects, the total risk score is compared with the preset risk score value, and the candidate construction projects whose total risk score exceeds the preset risk score value are identified as risky construction projects; finally, the risky construction projects are used as risk identification results for the projects to be constructed.

[0075] In this embodiment, the total risk score is compared with the preset risk score value among the candidate construction projects, and the candidate construction projects whose total risk scores exceed the preset risk score value are identified as risky construction projects. Finally, the risky construction projects are used as the risk identification results for the projects to be constructed, thereby comparing the objective data of the risk score with the preset value, and quickly and accurately identifying the risky construction projects through the comparison results.

[0076] In one embodiment, after performing risk identification on the updated plan information according to the target risk identification rule to obtain the risk identification result of the project to be constructed, the method of the present application further includes the following steps:

[0077] The risk identification results are formatted and processed according to the preset format to obtain the risk identification results in the target format; based on the risk identification results in the target format, the corresponding risk warning information is generated and pushed.

[0078] The preset format may be a JSON (JavaScript Object Notation) data exchange format.

[0079] Among them, risk warning information refers to the warning notification information generated based on the risk identification results.

[0080] Specifically, the risk device identification terminal performs format conversion processing on the risk identification result according to the JSON data exchange format to obtain the risk identification result in the JSON data exchange format, and generates and pushes a corresponding warning notification to the user based on the risk identification result.

[0081] In this embodiment, the risk identification results are formatted and processed according to a preset format to obtain risk identification results in a preset format. Then, corresponding warning information is generated and pushed based on the risk identification results in the preset format, which helps users quickly and accurately obtain risk identification results for the projects to be constructed.

[0082] In one embodiment, Figure 4 As shown, a method for identifying construction operation risks in a specific embodiment is provided, which specifically includes the following steps:

[0083] Step S401, obtain the work plan information of the project to be constructed, extract the work plan information, obtain the work tasks and plan list of the project to be constructed, and split the work tasks into monthly task quantities according to the plan list; generate monthly plan information according to the monthly construction time and the monthly task quantity; further split the monthly task quantity into weekly task quantities, and generate weekly plan information according to the weekly construction time and the weekly task quantity.

[0084] Step S402, constructing a plan information recognition model for the plan information type respectively according to the plan information type of the monthly plan information and the weekly plan information; obtaining feedback data of the plan information recognition model, and updating the plan information recognition model in real time according to the feedback data to obtain an updated plan information recognition model as a preset plan information recognition model.

[0085] Step S403, inputting the monthly plan information and the weekly plan information into a preset plan information recognition model respectively, and obtaining a plan information recognition result output by the plan information recognition model.

[0086] Step S404, according to the plan information identification result, the monthly plan information and the weekly plan information are adjusted to obtain updated plan information, and the target risk identification rule matching the updated plan information is determined in the preset risk identification rules.

[0087] Step S405, according to the updated plan information, the project risk values ​​of the projects to be constructed are counted; according to the project risk values, candidate construction projects that meet the risk threshold conditions are identified among the projects to be constructed.

[0088] Step S406, obtaining the risk score corresponding to the target risk identification rule to obtain the total risk score of the candidate construction project; among the candidate construction projects, identifying the candidate construction projects whose total risk scores exceed the preset risk score value as risky construction projects; and taking the risky construction projects as the risk identification results for the projects to be constructed.

[0089] Step S407, converting the risk identification result into a target format according to a preset format, and generating and pushing corresponding risk warning information according to the risk identification result in the target format.

[0090] The beneficial effects brought by the above embodiments are as follows:

[0091] The construction operation risk identification method proposed in this application improves the efficiency and accuracy of construction operation risk identification, strengthens the management and control of infrastructure site risks, avoids a large amount of manual participation, enhances the timeliness of risk warning and the convenience of information display and query, ensures the effective implementation of risk management work, and is conducive to improving the safety of power construction operations.

[0092] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0093] Based on the same inventive concept, the embodiment of the present application also provides a device for identifying construction operation risks for implementing the above-mentioned method for identifying construction operation risks. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiments of one or more construction operation risk identification devices provided below can refer to the limitations of the construction operation risk identification method above, and will not be repeated here.

[0094] In an exemplary embodiment, Figure 5 As shown, a device for identifying construction operation risks is provided, comprising:

[0095] The operation division module 501 is used to obtain the operation plan information of the project to be constructed, integrate and divide the operation plan information, and obtain the monthly plan information and weekly plan information of the project to be constructed;

[0096] The information recognition module 502 is used to input the monthly plan information and the weekly plan information into a preset plan information recognition model respectively, and obtain the plan information recognition result output by the plan information recognition model;

[0097] The rule matching module 503 is used to adjust the monthly plan information and the weekly plan information according to the plan information identification result to obtain updated plan information, and determine the target risk identification rule that matches the updated plan information in the preset risk identification rules;

[0098] The risk identification module 504 is used to perform risk identification on the updated plan information according to the target risk identification rules to obtain the risk identification results of the project to be constructed.

[0099] In one embodiment, the job division module 501 is also used to extract job plan information, obtain the job tasks and plan list of the project to be constructed, and split the job tasks into monthly task quantities according to the plan list; generate monthly plan information according to the monthly construction time and the monthly task volume; further split the monthly task volume into weekly task quantities, and generate weekly plan information according to the weekly construction time and weekly task volume.

[0100] In one embodiment, the device for identifying construction operation risks also includes a model building module, which is used to build a plan information identification model for the plan information type according to the plan information type of the monthly plan information and the weekly plan information; obtain feedback data of the plan information identification model, and update the plan information identification model in real time according to the feedback data to obtain an updated plan information identification model as a preset plan information identification model.

[0101] In one embodiment, the device for identifying construction operation risks also includes a risk value statistics module, which is used to count the project risk values ​​of the projects to be constructed based on the updated plan information; and identify candidate construction projects that meet the risk threshold conditions among the projects to be constructed based on the project risk values.

[0102] In one embodiment, the risk identification module 504 is also used to obtain the risk score corresponding to the target risk identification rule to obtain the total risk score of the candidate construction project; among the candidate construction projects, the candidate construction projects whose total risk scores exceed the preset risk score value are identified as risky construction projects; and the risky construction projects are used as risk identification results for the projects to be constructed.

[0103] In one embodiment, the construction operation risk identification device also includes a format conversion module, which is used to perform format conversion processing on the risk identification results according to a preset format to obtain the risk identification results in a target format; based on the risk identification results in the target format, generate and push corresponding risk warning information.

[0104] Each module in the above-mentioned construction operation risk identification device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0105] In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG6. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the operation plan information of the project to be constructed. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for identifying construction operation risks is implemented.

[0106] Those skilled in the art will understand that the structure shown in FIG. 6 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0107] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0108] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0109] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0110] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0111] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0112] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0113] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for identifying construction operation risks, characterized in that: The method comprises: Acquire the operation plan information of the project to be constructed, integrate and divide the operation plan information, and obtain the monthly plan information and weekly plan information of the project to be constructed; Inputting the monthly plan information and the weekly plan information into a preset plan information recognition model respectively, and obtaining a plan information recognition result output by the plan information recognition model; According to the plan information identification result, the monthly plan information and the weekly plan information are adjusted to obtain updated plan information, and a target risk identification rule matching the updated plan information is determined in the preset risk identification rules; According to the target risk identification rule, risk identification is performed on the updated plan information to obtain a risk identification result for the project to be constructed.

2. The method according to claim 1, characterized in that The step of integrating and dividing the operation plan information to obtain the monthly plan information and weekly plan information of the project to be constructed includes: Extracting the work plan information to obtain the work tasks and plan list of the project to be constructed, and splitting the work tasks into monthly task quantities according to the plan list; Generate the monthly plan information according to the monthly construction time and the monthly task volume; The monthly task volume is further divided into weekly task volumes, and the weekly plan information is generated according to the weekly construction time and the weekly task volume.

3. The method according to claim 1, characterized in that Before the monthly plan information and the weekly plan information are respectively input into a preset plan information recognition model, the method further includes: According to the plan information types of the monthly plan information and the weekly plan information, respectively construct plan information recognition models for the plan information types; Acquire feedback data of the plan information identification model, and update the plan information identification model in real time according to the feedback data to obtain an updated plan information identification model as the preset plan information identification model.

4. The method according to claim 1, characterized in that: Before performing risk identification on the updated plan information according to the target risk identification rule to obtain the risk identification result of the project to be constructed, the method further includes: According to the updated plan information, the project risk value of the project to be constructed is counted; According to the project risk value, candidate construction projects that meet risk threshold conditions are identified among the projects to be constructed.

5. The method according to claim 4, characterized in that The step of performing risk identification on the updated plan information according to the target risk identification rule to obtain a risk identification result of the project to be constructed includes: Obtaining the risk score corresponding to the target risk identification rule to obtain the total risk score of the candidate construction project; Among the candidate construction projects, identifying the candidate construction projects whose total risk scores exceed a preset risk score value as risky construction projects; The risky construction project is used as a risk identification result for the project to be constructed.

6. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: According to a preset format, the risk identification result is formatted and processed to obtain a risk identification result in a target format; According to the risk identification results in the target format, corresponding risk warning information is generated and pushed.

7. A device for identifying construction operation risks, characterized in that: The device comprises: The operation division module is used to obtain the operation plan information of the project to be constructed, integrate and divide the operation plan information, and obtain the monthly plan information and weekly plan information of the project to be constructed; An information recognition module, used for inputting the monthly plan information and the weekly plan information into a preset plan information recognition model respectively, and obtaining a plan information recognition result output by the plan information recognition model; A rule matching module is used to adjust the monthly plan information and the weekly plan information according to the plan information identification result to obtain updated plan information, and determine a target risk identification rule that matches the updated plan information in a preset risk identification rule; The risk identification module is used to perform risk identification on the updated plan information according to the target risk identification rules to obtain the risk identification result of the project to be constructed.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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