A construction quality and safety control method, system and device

Abstract

The present invention provides a construction quality and safety control method, system and device. The method includes: obtaining historical construction data; determining multiple internal attributes of each historical minimum production unit based on the historical construction data, and first risk association information between combinations of the multiple internal attributes and quality and safety events; determining multiple current minimum production units of the current construction project and current internal attributes of each current minimum production unit; determining one or more risk points of the current minimum production unit and a risk probability corresponding to each risk point at least based on the current internal attributes and the first risk association information, wherein each risk point corresponds to a quality and safety event; based on this, it is possible to efficiently and intelligently determine the area where quality and safety events may occur and the risk level, without relying on manual experience and with high accuracy.

Description

Technical Field

[0001] The present invention relates to the field of construction quality and safety management, and particularly to a construction quality and safety control method, system and device. Background Art

[0002] With the continuous development and progress of the construction industry, construction quality and safety management have become key links to ensure the smooth progress of projects and the safety of personnel. Traditional construction quality and safety management methods mainly rely on manual monitoring and regular inspections. However, this method has many limitations. For example, manual monitoring is easily affected by human factors, and it is difficult to guarantee the inspection efficiency and accuracy; for another example, for complex construction environments and large-scale construction projects, traditional quality and safety management methods are often powerless and difficult to cover comprehensively and respond in a timely manner. In addition, the reuse rate of traditional construction quality and safety management methods is low, generally only applicable to specific projects and difficult to apply to other construction projects.

[0003] In view of this, the present invention provides a construction quality and safety control method, system and device to solve the above problems. Summary of the Invention

[0004] One or more embodiments of the present invention provide a construction quality and safety control method, the method comprising: obtaining historical construction data, the historical construction data including a plurality of completed historical minimum production units and quality and safety events corresponding to each of the historical minimum production units; determining a plurality of internal attributes of each of the historical minimum production units based on the historical construction data, and first risk association information between combinations of the plurality of internal attributes and the quality and safety events; the internal attributes including at least one of a task item attribute, a personnel attribute, and a region attribute; determining a plurality of current minimum production units of a current construction project and current internal attributes of each of the current minimum production units; determining one or more risk points of the current minimum production units and a risk probability corresponding to each of the risk points based on the current internal attributes and the first risk association information, wherein each of the risk points corresponds to one of the quality and safety events.

[0005] One or more embodiments of the present invention further provide a construction quality and safety control system. The system includes: an acquisition module configured to acquire historical construction data, where the historical construction data includes a plurality of completed historical minimum production units and quality and safety events corresponding to each of the historical minimum production units; a first determination module configured to determine, based on the historical construction data, a plurality of internal attributes of each of the historical minimum production units and first risk association information between combinations of the plurality of internal attributes and the quality and safety events; the internal attributes including at least one of a task item attribute, a personnel attribute, and a region attribute; a second determination module configured to determine a plurality of current minimum production units of a current construction project and current internal attributes of each of the current minimum production units; a third determination module configured to determine, based on the current internal attributes and the first risk association information, one or more risk points of the current minimum production units and a risk probability corresponding to each of the risk points, where each of the risk points corresponds to one of the quality and safety events.

[0006] One or more embodiments of the present invention further provide a construction quality and safety control device. The device includes: at least one processor and at least one memory; the at least one memory is used to store computer instructions; the at least one processor is used to execute at least some of the computer instructions to implement the construction quality and safety control method as described in the above embodiments.

[0007] In the construction quality and safety control method, system, and device provided by the present invention, the association between the internal attributes (or combinations of internal attributes) of construction projects such as different construction tasks, personnel, and construction regions and the risk of quality and safety events (i.e., the association between different internal attributes or combinations of internal attributes and the probability of quality and safety events occurring) is determined based on historical construction data. According to this association, the regions and probabilities of quality and safety accidents occurring in the current construction project are predicted. At least the following can be achieved: efficiently and intelligently determining the regions and risk levels where quality and safety events may occur, without relying on manual experience and with high accuracy; screening quality and safety events according to the risk levels, and quickly and accurately eliminating potential hazards of quality and safety events that may occur, with good control effects on quality and safety events. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The present invention will be further described by way of exemplary embodiments, which will be described in detail through the accompanying drawings. These embodiments are not restrictive. In these embodiments, the same numbers represent the same structures, where:

[0009] Figure 1 is a schematic diagram of an application scenario of a construction quality and safety control system according to some embodiments of the present invention;

[0010] Figure 2 is an exemplary flowchart of a construction quality and safety control method according to some embodiments of the present invention;

[0011] Figure 3 is a schematic diagram of determining a risk level according to some embodiments of the present invention;

[0012] Figure 4 is an exemplary flowchart of generating a risk display icon according to some embodiments of the present invention;

[0013] Figure 5 is a schematic diagram of a general layout plan according to some embodiments of the present invention;

[0014] Figure 6 is a schematic diagram of a project display model according to some embodiments of the present invention;

[0015] Figure 7 is a schematic diagram of internal modules of a processor according to some embodiments of the present invention.

[0016] Explanation of reference numerals: 110, current construction project; 120, network; 130, terminal; 140, processor; 150, storage device. Detailed implementation manners

[0017] To more clearly illustrate the technical solutions of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, the present invention can also be applied to other similar scenarios based on these drawings. Unless obvious from the language context or otherwise stated, the same reference numerals in the figures represent the same structures or operations.

[0018] It should be understood that the "system", "device", "unit" and / or "module" used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the said words can be replaced by other expressions.

[0019] As shown in the present invention and the claims, unless the context clearly indicates an exception, words such as "a", "an", "one" and / or "the" are not specifically singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0020] In the present invention, flowcharts are used to illustrate the operations performed by the system according to the embodiments of the present invention. It should be understood that the preceding or subsequent operations do not necessarily have to be executed precisely in sequence. On the contrary, the steps can be processed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or more steps can be removed from these processes.

[0021] Figure 1 is a schematic diagram of the application scenario of the construction quality and safety control system shown in some embodiments of the present invention. In some embodiments, as Figure 1 shown, the construction quality and safety control system 100 includes the current construction project 110, the network 120, the terminal 130, the processor 140, the storage device 150, etc.

[0022] The current construction project 110 refers to the construction engineering tasks that require quality and safety control. For example, the current construction project 110 can include residential building projects, commercial building projects, road construction projects, etc. The current construction project 110 includes various construction data such as construction drawings, construction contract lists, engineering design and planning data, construction management data, etc. Quality and safety control refers to the evaluation and analysis of the construction quality and safety of the construction project to improve the project quality and reduce safety risks.

[0023] The network 120 can connect the components in the construction quality and safety control system 100 and / or connect other components outside the construction quality and safety control system 100. In some embodiments, one or more components of the construction quality and safety control system 100 (such as the terminal 130, the processor 140, and the storage device 150, etc.) can be connected to each other and / or communicate through the network 120. For example, the storage device 150 can send historical construction data to the processor 140 through the network 120, etc.

[0024] The terminal 130 can provide functional components related to user interaction and can implement user interaction functions (such as providing or displaying information and data for the user). The user can refer to the personnel who perform quality and safety control, or can also refer to the designers and constructors of the current construction project 110, etc. Only as an example, the terminal 130 can be a mobile device, a tablet computer, a laptop computer, a desktop computer, etc. or any combination of one or more other devices with input and / or output functions.

[0025] The processor 140 is capable of processing information and / or data related to the construction quality and safety control system 100 to perform one or more functions described in the present invention. In some embodiments, the processor 140 may obtain historical construction data; determine first risk association information between multiple internal attributes of each historical minimum production unit and combinations of the multiple internal attributes and quality and safety events based on the historical construction data; determine multiple current minimum production units of the current construction project and current internal attributes of each current minimum production unit; and determine one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point based on the current internal attributes and the first risk association information. For a detailed description of the relevant content, reference may be made to the following text (such as Figure 2 , Figure 3 , etc.) for related descriptions. For example, the processor 140 may obtain historical construction data through step 210; in step 220, determine first risk association information between multiple internal attributes of each historical minimum production unit and combinations of the multiple internal attributes and quality and safety events based on the historical construction data; in step 230, determine multiple current minimum production units of the current construction project and current internal attributes of each current minimum production unit; and in step 240, determine one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point based on the current internal attributes and the first risk association information. Among them, each risk point corresponds to a quality and safety event.

[0026] In some embodiments, the processor 140 may include a central processing unit (CPU), a digital signal processor (DSP), a microcontroller unit (MCU), a computer, a user console, etc. or any combination thereof. In some embodiments, the processor 140 may include a single server or a server group. The server group may be centralized or distributed. In some embodiments, the processor 140 may be local or remote. In some embodiments, the processor 140 may be implemented on a cloud platform. By way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-layer cloud, etc. or any combination thereof.

[0027] The storage device 150 is capable of storing data, instructions, and / or any other information. In some embodiments, the storage device 150 may store data obtained from the terminal 130, the processor 140, etc., such as historical construction data, etc. In some embodiments, the storage device 150 may include a mass storage device, a removable storage device, a volatile read-write memory, a read-only memory (ROM), etc. or any combination thereof. In some embodiments, the storage device 150 may be executed on a cloud platform. In some embodiments, the storage device 150 may be connected to the network 120 to communicate with one or more other components of the construction quality and safety control system 100 (e.g., the terminal 130, the processor 140, etc.). In some embodiments, the storage device 150 may be part of the processor 140.

[0028] It should be noted that the construction quality and safety control system 100 is provided for illustrative purposes only and is not intended to limit the scope of the present invention. Those of ordinary skill in the art can make various changes and modifications according to the description of the present invention. For example, the construction quality and safety control system 100 may further include a database, an information source, etc. Again, for example, the construction quality and safety control system 100 may be implemented on other devices to achieve similar or different functions. However, these changes and modifications will not depart from the scope of the present invention.

[0029] Figure 2 is an exemplary flowchart of the construction quality and safety control method shown in some embodiments of the present invention. In some embodiments, the process 200 may be executed by a processing device (e.g., the processor 140). As Figure 2 shown, the process 200 includes the following steps.

[0030] Step 210, obtaining historical construction data.

[0031] Historical construction data refers to various data and records generated in completed building construction projects. For example, historical construction data may include construction tasks, construction areas, construction personnel, construction periods, weather, etc.

[0032] In some embodiments, the historical construction data includes a plurality of completed historical minimum production units and the quality and safety events corresponding to each historical minimum production unit.

[0033] The minimum production unit refers to the most basic work group or work unit in a building construction project that can independently complete a specific construction task or process. For example, the minimum production units may include work units such as steel bar binding, concrete pouring, formwork installation, electrical wiring, etc. The historical minimum production unit refers to the minimum production unit in a completed / ongoing building construction project.

[0034] A quality and safety incident refers to an accident or problem in terms of project quality or safety. In some embodiments, a quality and safety incident includes multiple attributes such as incident classification, cause of occurrence, degree of harm, etc.

[0035] In some embodiments, there is a corresponding relationship between the minimum production unit and the quality and safety incident. For example, the quality and safety incidents corresponding to the concrete pouring work unit include non-compliance of concrete strength, and the quality and safety incidents corresponding to the exterior wall construction unit include falls from height, etc. In some embodiments, one minimum production unit may correspond to multiple quality and safety incidents. For example, the quality and safety incidents that the electrical wiring unit may correspond to include line short-circuit accidents, electric shock safety accidents, etc. In some embodiments, one quality and safety incident can also correspond to multiple minimum production units. For example, the minimum production units that the quality and safety incident of falling from height may correspond to include the scaffolding erection and demolition unit, the exterior wall construction unit, etc.

[0036] In some embodiments, the historical construction data can be pre-stored in the storage device 150 in the form of graphs, tables, vectors, etc. The processor 140 can obtain the historical construction data by reading from the storage device 150. In some embodiments, the historical construction data can be obtained in one or more of the following ways. For example, during the construction of historical buildings, data such as construction tasks, construction areas, construction personnel, construction periods, weather, etc. during the construction process of historical building projects can be collected as historical construction data through manual collection, Internet of Things devices (such as temperature and humidity sensors, wind speed and direction sensors, camera devices, etc.), drones and remote sensing technologies, etc., and the historical construction data can be transmitted to the storage device 150 and / or the cloud platform through industrial routers, Internet of Things gateways, etc., and the processor 140 accesses the storage device 150 and / or the cloud platform to obtain the historical construction data. In some embodiments, the processor 140 can also obtain the historical construction data by parsing relevant materials of historical construction projects (such as design drawings, safety management materials, construction process record materials, etc.). Exemplary parsing methods include one or more of machine vision technology, optical character recognition technology, natural language processing, text mining, etc. In some embodiments, the processor 140 can also obtain the historical construction data through third-party information sources (such as the Internet, commercial databases and data providers, etc.).

[0037] Step 220, determining first risk association information between multiple internal attributes of each historical minimum production unit and combinations of the multiple internal attributes and quality and safety incidents based on the historical construction data.

[0038] The internal attribute refers to data and / or information related to the construction process of a construction project. In some embodiments, the internal attribute includes at least one of a task item attribute, a personnel attribute, and a region attribute.

[0039] Task item attributes refer to data and / or information related to construction tasks. For example, task item attributes may include task numbers, task names (such as "formwork installation", "concrete pouring", etc.).

[0040] Personnel attributes refer to human resource data and / or information involved in construction projects. For example, personnel attributes may include personnel numbers, names and contact information, positions / occupations, safety training records (such as the safety education or training participated in, etc.).

[0041] Area attributes refer to data and / or information of different areas or sections at the construction site. For example, area attributes may include area numbers, area names (such as "external wall", "underground garage", etc.), and area locations (specific geographical or architectural locations, which can be represented by text, floor plans, coordinates, etc.).

[0042] In some embodiments, internal attributes may also include many other types of attributes. For example, internal attributes may also include construction period attributes, construction cost attributes, construction material attributes, etc.

[0043] In some embodiments, the processor 140 may determine multiple internal attributes of each historical minimum production unit based on historical construction data. For example, the processor 140 may analyze the historical construction data through various methods such as statistical analysis, data mining and text analysis, and machine learning models to obtain the internal attributes corresponding to each historical minimum production unit.

[0044] The combination of internal attributes is the result obtained by freely combining the internal attributes of multiple historical minimum production units. Only for example, if there are three internal attributes A, B, and C in total for multiple historical minimum production units, then combining them can obtain 4 combinations of internal attributes: AB, AC, BC, and ABC.

[0045] The first risk association information refers to the association between the internal attributes of the historical minimum production unit and / or the combination of internal attributes and the risk level of quality and safety incidents occurring. Among them, the first risk association information can represent the risk of quality and safety incidents occurring through probability. The higher the probability, the greater the risk.

[0046] In some embodiments, the processor 140 may determine a first set and a second set; determine the quality and safety incidents corresponding to all the historical minimum production units in the first set and the second set; and determine the first risk association information based on the number of historical minimum production units and the number of quality and safety incidents in the first set, as well as the number of historical minimum production units and the number of quality and safety incidents in the second set.

[0047] The first set is a set composed of one or more historical minimum production units to which the internal attributes belong. For example, if internal attribute A appears in a total of 100 historical minimum production units and internal attribute B appears in a total of 70 historical minimum production units, then the 100 historical minimum production units to which internal attribute A belongs and the 70 historical minimum production units to which internal attribute B belongs form the first set.

[0048] The second set is a set composed of one or more historical minimum production units to which the combinations of internal attributes belong. For example, if the internal attribute combination AB appears in a total of 110 historical minimum production units and the internal attribute combination BC appears in a total of 80 historical minimum production units, then the 110 historical minimum production units to which the internal attribute combination AB belongs and the 80 historical minimum production units to which the internal attribute combination BC belongs form the second set.

[0049] In some embodiments, the processor 140 may respectively determine the quality and safety events in the first set and the quality and safety events in the second set. For example, the processor 140 may respectively determine multiple attributes such as the number of quality and safety events that have occurred, event classification, cause of occurrence, and degree of harm corresponding to the historical minimum production units in the first set and the second set.

[0050] In some embodiments, the processor 140 may determine the first risk association information based on the number of historical minimum production units and the number of quality and safety events in the first set, as well as the number of historical minimum production units and the number of quality and safety events in the second set.

[0051] For example, among the 100 historical minimum production units to which internal attribute A in the first set belongs, quality and safety event W1 occurred 10 times and quality and safety event W2 occurred 30 times. Then the first risk association information between internal attribute A and quality and safety event W1 is 10%, and the first risk association information between internal attribute A and quality and safety event W2 is 30%. Another example is that among the 80 historical minimum production units to which the internal attribute combination BC in the second set belongs, quality and safety event W1 occurred 30 times and quality and safety event W3 occurred 40 times. Then the first risk association information between the internal attribute combination BC and quality and safety event W1 is 37.5%, and the first risk association information between the internal attribute combination BC and quality and safety event W3 is 50%. Similarly, the processor 140 may determine the first risk association information between all internal attributes and combinations of internal attributes and all quality and safety events in the first set and the second set.

[0052] It should be noted that in some embodiments, when the number of internal attributes (or combinations of internal attributes) is too small, accidental errors may occur. For example, internal attribute D belongs to only 1 historical minimum production unit, and the historical minimum production unit to which internal attribute D belongs has exactly experienced a quality and safety incident W1. Obviously, in this case, the first risk association information between internal attribute D and quality and safety incident W1 is not necessarily 100%, but is only an accidental error caused by too few samples. In some embodiments, when determining the first risk association information, the processor 140 may only determine the first risk association information between internal attributes (or combinations of internal attributes) whose number of affiliated historical production units exceeds a threshold and quality and safety incidents, so as to reduce accidental errors and improve the accuracy of the first risk association information.

[0053] In some embodiments, the processor 140 may also construct a risk database based on historical minimum production units, internal attributes, quality and safety incidents, and first risk association information. In the risk database, the corresponding relationships between historical minimum production units, internal attributes, quality and safety incidents, and first risk association information can be represented in various ways such as trees, graphs, tables, vectors, etc.

[0054] Step 230, determine multiple current minimum production units of the current construction project and the current internal attributes of each current minimum production unit.

[0055] The current minimum production unit refers to the minimum production unit in the current construction project.

[0056] The current internal attribute refers to the internal attribute of the current minimum production unit.

[0057] In some embodiments, the processor 140 may determine multiple current minimum production units of the current construction project and the current internal attributes of each current minimum production unit based on construction data such as the construction design drawings and construction contract lists of the current project through various methods such as statistical analysis, data mining and text analysis, and machine learning models. Among them, the construction design drawings will mark information such as construction specifications, materials, dimensions, and construction processes; the construction contract list will stipulate information such as construction tasks, construction areas, performance objects, and construction periods.

[0058] Step 240, determine one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point based on the current internal attribute and the first risk association information.

[0059] Among them, each risk point corresponds to a quality and safety incident.

[0060] A risk point refers to a quality and safety incident that may occur in the current minimum production unit. For example, if quality and safety incident W1 may occur in current minimum production unit P, then quality and safety incident W1 can be called a risk point of current minimum production unit P.

[0061] The risk probability refers to the probability of a quality and safety incident occurring in the current smallest production unit.

[0062] In some embodiments, the processor 140 may determine one or more risk points and multiple sub-risk probabilities for each risk point based on the current internal attributes, combinations of the current internal attributes, and first risk association information; and obtain the risk probability corresponding to the risk point based on the multiple sub-risk probabilities of each risk point.

[0063] The combination of the current internal attributes is the result obtained by freely combining the current internal attributes. For example, for the current internal attributes X, Y, and Z, freely combining them can obtain a total of four combinations of the current internal attributes: XY, XZ, YZ, and XYZ.

[0064] In some embodiments, the processor 140 may match the current internal attributes and the combination of the current internal attributes with the internal attributes and / or the combination of the internal attributes in the risk database. After successful matching, the quality and safety incidents in the historical smallest production unit with the first risk association information greater than a preset probability threshold (such as 1%) are used as the risk points of the current smallest production unit (less than the threshold indicates a relatively small occurrence probability and can be considered as no risk), and the first risk association information corresponding to the quality and safety incident is used as the risk probability corresponding to the risk point.

[0065] The matching method can be determined according to the type of the risk database. Taking the risk database as a vector database as an example, the matching method may include the distance (such as cosine distance, Euclidean distance, Manhattan distance, Chebyshev distance, etc.) between the current internal attributes and / or the combination of the current internal attributes and the internal attributes and / or the combination of the internal attributes in the risk database being the smallest or meeting a preset threshold, etc.

[0066] In some embodiments, the same quality and safety incident may correspond to multiple first risk association information, and the multiple first risk association information can be referred to as the sub-risk probabilities of the risk point corresponding to the quality and safety incident. For example, the current smallest production unit P has three current internal attributes X, Y, and Z, which are respectively matched with the internal attributes A, B, and C in the risk database. The first risk association information corresponding to the internal attribute A for the quality and safety incident W1 is 20%, the first risk association information corresponding to the internal attribute B for the quality and safety incident W1 is 30%, the first risk association information corresponding to the internal attribute C for the quality and safety incident W1 is 0, and the first risk association information corresponding to the internal attribute combination AB for the quality and safety incident W1 is 15%... Then, the multiple sub-risk probabilities of the risk point corresponding to the quality and safety incident W1 for the current smallest production unit P are 20%, 30%, 15%...

[0067] In some embodiments, the processor 140 may sort multiple sub-risk probabilities of a risk point and determine the maximum sub-risk probability as the risk probability of the risk point.

[0068] In some embodiments, the minimum production unit further includes external attributes.

[0069] External attributes refer to data and / or information that are not directly related to the construction process of a construction project but may affect quality and safety incidents during the construction process. In some embodiments, the external attributes at least include inspection attributes. Inspection attributes refer to attributes related to project inspections in a construction project, such as the number of inspections, inspection objects, inspection standards, etc. It can be understood that different inspection attributes have different effects on the occurrence of quality and safety incidents. For example, the more the number of inspections and / or the stricter the inspection standards, the lower the probability of quality and safety incidents occurring. In some embodiments, including inspection attributes in the external attributes can further improve the accuracy of predicting the risk probability of quality and safety incidents and obtain a better control effect on quality and safety incidents.

[0070] In some embodiments, the external attributes may further include other various attributes such as weather, construction inspections, construction rectifications, and construction acceptance. External attributes are prone to change. For example, the weather may change at any time, or for different minimum production units, the number of inspections, construction rectifications, and construction acceptance standards may also be different.

[0071] In some embodiments, the processor 140 may determine second risk association information between multiple external attributes and combinations of multiple external attributes of each historical minimum production unit and quality and safety incidents based on historical construction data.

[0072] In some embodiments, the method for obtaining the external attributes of historical construction data is similar to the method for obtaining internal attributes. For specific details, reference may be made to the relevant description in the foregoing (such as step 220).

[0073] Second risk association information refers to the association between the external attributes of a historical minimum production unit and / or combinations of external attributes and the risk level of quality and safety incidents occurring. Among them, the second risk association information can represent the risk of quality and safety incidents occurring through probability. The higher the probability, the greater the risk.

[0074] In some embodiments, the method for the processor to determine the second risk association information is similar to the method for determining the first risk association information. For specific details, reference may be made to the relevant description in the foregoing (such as step 230). In some embodiments, the processor 140 may add relevant data on external attributes, combinations of external attributes, and second risk association information to the risk database.

[0075] In some embodiments, in response to the current minimum production unit being under construction, the processor 140 may acquire the current external attributes of the current minimum production unit.

[0076] The current external attributes refer to the external attributes of the current minimum production unit.

[0077] In some embodiments, the current external attributes may be collected and acquired by a user (such as a quality and safety event manager), or may be automatically collected based on Internet of Things (IoT) devices.

[0078] In some embodiments, the current external attributes may often change. Therefore, during the construction process, the current external attributes may be collected regularly and updated.

[0079] In some embodiments, the processor 140 may determine one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point based on the current internal attributes, the current external attributes, the first risk association information, and the second risk association information.

[0080] For example, the processor may determine the corresponding first risk association information based on the current internal attributes, use the quality and safety event corresponding to the first risk association information as the internal risk point of the current minimum production unit, and use the first risk association information as the internal risk probability corresponding to the current internal attributes of the minimum production unit; determine the corresponding second risk association information based on the current external attributes, use the quality and safety event corresponding to the second risk association information as the external risk point of the current minimum production unit, and use the second risk association information as the external risk probability corresponding to the current external attributes of the minimum production unit. That is, the risk probability of the risk point includes the internal risk probability corresponding to the current internal attributes and the external risk probability corresponding to the current external attributes.

[0081] In some embodiments, when constructing the risk database, the processor may freely combine the internal attributes and the external attributes, and determine the third risk association information according to a method similar to that for determining the first risk association information in step 220. Further, the processor may also combine the current internal attributes and the current external attributes, and based on the third risk association information, determine one or more risk points and the risk probability corresponding to each risk point according to a method similar to step 240.

[0082] In some embodiments, the processor 140 may determine one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point through a machine learning model based on the current internal attributes, the current external attributes, the first risk association information, and the second risk association information.

[0083] The machine learning model may include any one or a combination of a neural network model, a deep neural network model, a graph neural network model, etc. The input of the machine model includes the current internal attributes and current external attributes of the current minimum production unit, and the output includes one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point. The training samples of the machine learning model include the internal attributes (and / or combinations of internal attributes) and external attributes (and / or combinations of external attributes) in a large amount of historical construction data, and the training labels include first risk association information and second risk association information.

[0084] In some embodiments, as described above, the current external attributes change greatly and need to be updated in real time. After the current external attributes are updated, the risk points and the risk probabilities corresponding to the risk points also need to be updated accordingly.

[0085] In some embodiments of the present invention, the accuracy of the determined risk points and risk probabilities can be improved through internal attributes and external attributes. By conducting targeted investigation and rectification of the risk points, the possibility of quality and safety incidents can be reduced; at the same time, when the external attributes of the construction project change, timely updating of the risk points and the corresponding risk probabilities can further reduce the possibility of quality and safety incidents.

[0086] In some embodiments, the processor 140 can also obtain the quality and safety incidents that occur during the construction process of each current minimum production unit, and update the first risk association information and / or the second risk association information. For example, the processor can use the quality and safety incidents that have occurred during the construction process and the corresponding internal attributes and external attributes to update the risk database as historical construction data.

[0087] In some embodiments, updating the risk database according to the quality and safety incidents that have occurred during the construction process can adjust the risk points and risk probabilities according to the specific construction situation, further reducing the possibility of quality and safety incidents and obtaining a better quality and safety control effect.

[0088] It should be noted that when investigating quality and safety incidents, it is necessary to give priority to resolving quality and safety incidents with a higher degree of urgency as much as possible. However, the risk probabilities and harm degrees of different quality and safety incidents are different, and it is difficult to meet the requirements only based on the risk probability or only based on the harm degree to determine the accuracy of quality and safety incidents. For example, the risk probability of a worker getting scratched is high, but the harm degree is small; the risk probability of a worker falling is low, but the harm degree is large.

[0089] In some embodiments, the processor can obtain the harm degree of the risk point and determine the risk level of the risk point based on the risk probability and the harm degree.

[0090] The risk level indicates the urgency of a quality and safety incident. The higher the risk level, the more urgent the quality and safety incident. Figure 3 is a schematic diagram for determining the risk level shown in some embodiments of the present invention. As Figure 3 shown, the processor can determine the probability level of a quality and safety incident according to the risk probability. For example, a risk probability less than 10% is a low probability, a risk probability of 10% - 50% is a medium probability, and a risk probability greater than 50% is a high probability, etc. The processor can also determine the hazard level corresponding to the quality and safety incident based on preset rules. Exemplary hazard levels include low hazard, medium hazard, high hazard, etc. For example, abrasion corresponds to low hazard, high fall corresponds to high hazard, and an incident causing a certain economic loss (such as an economic loss of 100,000 yuan) corresponds to medium hazard. Exemplary risk levels can include low risk, general risk, medium risk, relatively high risk, high risk, etc.

[0091] In some embodiments of the present invention, determining the risk level of a quality and safety incident through the risk probability and the degree of hazard can better evaluate the risk level of the quality and safety incident, prioritize solving quality and safety incidents with a higher risk level, and obtain a better control effect for quality and safety incidents.

[0092] In some embodiments, the processor can give an early warning for a quality and safety incident based on a preset early warning strategy. Exemplarily, the early warning strategy can include one or more of the following: giving an early warning for a quality and safety incident with a risk level at general risk or above; giving an early warning when the risk level of a quality and safety incident increases (for example, giving an early warning when the risk level increases due to non-standard construction processes); giving an early warning when the duration of the risk level exceeds a threshold (such as 12 hours, 24 hours, etc.) without investigation.

[0093] In some embodiments of the present invention, through the early warning strategy, a risk early warning can be issued in a timely manner, which is convenient for investigating quality and safety incidents in a timely manner.

[0094] In some embodiments, the processor 140 can also give suggestions for investigating and rectifying quality and safety incidents. For example, the current minimum production unit includes two attributes M and N (internal attributes and / or external attributes), and their corresponding risk level is medium risk. The processor can query the attribute combinations including attributes M and N in the risk database, and use the attribute combinations with a risk level lower than medium risk as investigation suggestions. For example, if the risk levels of the attribute combinations L, M, and N including M and N in the risk database are low risk, it may be that attribute L reduces the risk levels of attributes M and N, and the investigation and rectification suggestions can include adding attribute L.

[0095] In some embodiments, to more conveniently and intuitively determine the occurrence location and risk level of a quality and safety incident, the processor 140 can also display visual risk display icons through a model.

[0096] Figure 4 An exemplary flowchart for generating a risk display icon as shown in some embodiments of the present invention. In some embodiments, process 400 may be executed by a processing device (e.g., processor 140). As Figure 4 shown, process 400 includes the following steps.

[0097] Step 410, obtain the general layout plan, building outline, and number of building floors of the current construction project.

[0098] The general layout plan is a detailed drawing showing the site layout of the entire construction project. The general layout plan includes the overall planning of the terrain of the project location, the arrangement of buildings, roads, greenery, equipment placement, and other infrastructure. Figure 5 A schematic diagram of the general layout plan as shown in some embodiments of the present invention. As Figure 5 shown, the general layout plan may include a building outline 510.

[0099] The building outline refers to the edge line of the building depicted in the general layout plan. As Figure 5 shown, the building outline 510 can show the external form and occupied area of the building.

[0100] The number of building floors refers to the total number of floors from the ground to the top of the building, including above - ground and underground floors. The number of building floors can show the height and spatial arrangement of the building.

[0101] In some embodiments, the general layout plan, building outline, and number of building floors of the current construction project can be obtained based on the construction data (such as construction drawings) of the current construction project.

[0102] Step 420, determine the model framework based on the general layout plan.

[0103] The model framework refers to the architecture of the project display model. The project display model refers to a physical model that shows risk points and the risk probabilities of the risk points. In some embodiments, processor 140 can convert the general layout plan into an axonometric drawing and use the axonometric drawing as the framework of the project display model. Among them, processor 140 can convert the general layout plan into an axonometric drawing by means of projection.

[0104] Figure 6 A schematic diagram of the project display model as shown in some embodiments of the present invention. As Figure 6 shown, the model framework 520 is obtained by converting the general layout plan into an axonometric drawing by means of projection.

[0105] Step 430, determine the local display area based on the building outline.

[0106] The local display area refers to a partial area of the current construction project shown in the project display model. In some embodiments, the processor may use the thumbnail of the building outline in the axonometric drawing as the local display area for showing risk points and risk probabilities.

[0107] Step 440: Generate a project display model based on the model framework, the local display area, and the number of building floors. The project display model includes multiple local display areas.

[0108] In some embodiments, as Figure 6 shown, the processor may copy multiple copies (the number of copies is equal to the number of building floors) of the thumbnail of the building outline within the model framework and then perform translation. Each translated layer does not overlap and has a uniform interval, and the result obtained by copying is used as multiple local display areas.

[0109] In some embodiments, the project display model is a 2.5D model.

[0110] In some embodiments of the present invention, the 2.5D model project display model can achieve at least the following effects: it is technically simpler, without the need to spend more manpower and costs to produce complex physical models (such as BIM models), and only simple projection operations on the general plan are required; it only shows key information (such as the location of risk points and risk levels), with less interference. Other models (such as BIM models) have complex components and more interference information, which is likely to block key information; it is concise enough to visually display all information, including floors, coordinates, safety risk levels, etc., avoiding information omission.

[0111] Step 450: Obtain the spatial information of the current minimum production unit, and generate risk display icons in the local display area based on the spatial information and the risk level.

[0112] Spatial information refers to the spatial position information of the minimum production unit. For example, the spatial information may include the coordinate range of the minimum production unit on the drawing; for another example, the spatial information may include the position information of the minimum production unit during construction, such as building and floor information, etc. In some embodiments, the spatial information can be obtained based on the analysis of construction data (such as construction drawings).

[0113] The risk display icon is an identifier for showing the location and risk level of the risk point. As Figure 6 shown, there are two risk display icons 530 on the first floor of Building 1, indicating that there are two risk points on the first floor of Building 1. In some embodiments, the risk display icon can also show the risk level through different colors. For example, green represents low risk or no risk; yellow represents medium risk; orange represents relatively high risk; red represents high risk, etc.

[0114] In some embodiments, the processor may determine the position of generating a risk display icon in the local display area based on spatial information, and determine the color of the risk display icon based on the risk level. For more descriptions on determining the risk level, reference may be made to the relevant parts in the foregoing, such as Figure 2 、 Figure 3 and so on. For example, the processor 140 may determine one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point based on steps 210 to 240 shown in process 200, and combine Figure 3 the schematic diagram shown to determine the risk level corresponding to each risk point.

[0115] In some embodiments, in response to the update of the construction drawing, determine the change information of the components of the updated construction drawing; adjust the risk display icon in the local display area based on the change information.

[0116] It can be understood that when the construction drawing is updated, it can be a partial adjustment (i.e., some components of the construction drawing), rather than an adjustment of the entire drawing. For example, when the construction drawing is updated, it may be for a certain floor.

[0117] The change information includes spatial change information and attribute change information.

[0118] The spatial change information refers to the spatial change of the construction area of the minimum production unit. For example, the change of the electrical laying line, etc.

[0119] The attribute change information refers to the change of the current internal attribute and / or the current external attribute of the minimum production unit. For example, the personnel deployment, construction period adjustment, weather change, etc. of the minimum production unit.

[0120] In some embodiments, the processor 140 may determine the change information of the components of the construction drawing based on the relative coordinates of the drawing frame corner points of the construction drawing before the update and the corner points of the update area, and the coordinates of the corner points of the update area on the construction drawing after the update.

[0121] In some embodiments, the processor may adjust the position of the risk display icon in the local display area of the project display model based on the spatial change information; adjust the risk level of the risk display icon based on the attribute change information (for example, based on the changed attribute, by using a method similar to that in Figure 2 、 Figure 3 to determine the risk level corresponding to the changed attribute).

[0122] In some embodiments of the present invention, when the drawing changes, the position and risk level of the risk display icon are correspondingly updated, so that the occurrence location and probability of the quality and safety event can be determined more clearly and accurately, targeted investigations can be carried out, and better management effects of the quality and safety event can be obtained.

[0123] In some embodiments, the quality and safety event also has a time attribute, that is, the occurrence location and probability of the quality and safety event change over time. The project display model can sort and concatenate all quality and safety events at different time points in chronological order to form an animation of risk evolution, which is convenient for quality and safety event control personnel to understand the changes of quality and safety events and better control quality and safety events.

[0124] In some embodiments, the local display area of the project display model can also be associated with corresponding relevant drawings such as floor plans, elevation views, sectional views, and detail drawings, and at the same time, all documents and data of the corresponding floor are associated. That is, thumbnail information such as building outlines and risk display icons are displayed on the project display model, but when specific to a local display area (such as a certain floor), detailed information such as associated floor plans, elevation views, sectional views, and node detail drawings can be displayed, and associated information such as risk points, work order sheets, inspection sheets, and acceptance sheets during actual construction can be further displayed.

[0125] In some embodiments of the present invention, the relevant drawings of the local display area and the associated information during actual construction can more intuitively display the personnel distribution at a certain historical moment, the current real-time personnel distribution, the cost and resource distribution, etc., and can better judge whether the personnel distribution meets the progress and construction requirements and whether the cost distribution meets the expectations, which can improve the decision-making efficiency; in addition, if a quality and safety event occurs, it is also possible to more conveniently and quickly investigate the cause of the accident and the relevant responsible persons.

[0126] Figure 7 It is a schematic diagram of the internal modules of a processor according to some embodiments of the present invention. As Figure 7 shown, the processor 140 may include an acquisition module 710, a first determination module 720, a second determination module 730, and a third determination module 740.

[0127] The acquisition module 710 is configured to acquire historical construction data, and the historical construction data includes a plurality of completed historical minimum production units and the quality and safety events corresponding to each historical minimum production unit.

[0128] The first determination module 720 is configured to determine, based on the historical construction data, a plurality of internal attributes of each historical minimum production unit and first risk association information between the combination of the plurality of internal attributes and the quality and safety events. In some embodiments, the internal attributes include at least one of a task item attribute, a personnel attribute, and a region attribute.

[0129] In some embodiments, the first determination module 720 is further configured to determine a first set and a second set; the first set consists of one or more historical minimum production units to which the internal attribute belongs; the second set consists of one or more of the historical minimum production units to which the combination of internal attributes belongs; determine the quality and safety events corresponding to all the historical minimum production units in the first set and the second set; and determine the first risk association information based on the number of historical minimum production units in the first set and the number of quality and safety events, and the number of historical minimum production units in the second set and the number of quality and safety events.

[0130] The second determination module 730 is configured to determine a plurality of current minimum production units of the current construction project and the current internal attribute of each current minimum production unit.

[0131] The third determination module 740 is configured to determine one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point based at least on the current internal attribute and the first risk association information. In some embodiments, each risk point corresponds to a quality and safety event.

[0132] In some embodiments, the third determination module 740 is further configured to determine one or more risk points and a plurality of sub-risk probabilities corresponding to different risk types of each risk point based on the current internal attribute, the combination of the current internal attributes, and the first risk association information; and obtain the risk probability corresponding to the risk point based on the plurality of sub-risk probabilities of each risk point.

[0133] In some embodiments, the third determination module 740 is further configured to determine a plurality of external attributes of each historical minimum production unit and the second risk association information between the combination of the plurality of external attributes and the quality and safety events based on the historical construction data, where the external attributes at least include inspection attributes; obtain the current external attributes of the current minimum production unit in response to the current minimum production unit being under construction; and determine one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point based on the internal attributes, the external attributes, the first risk association information, and the second risk association information.

[0134] In some embodiments, the processor 140 may further include an early warning module 750 and a generation module 760.

[0135] The early warning module 750 is configured to obtain the harm degree of the risk point and determine the risk level of the risk point based on the risk probability and the harm degree.

[0136] In some embodiments, the early warning module 750 is further configured to issue an early warning based on the risk level.

[0137] The generation module 760 is configured to obtain the general layout plan, building outline, and number of building floors of the current construction project; determine the model framework based on the general layout plan; determine the local display area based on the building outline; generate a project display model based on the model framework, local display area, and number of building floors, where the project display model includes multiple local display areas; obtain the spatial information of the current minimum production unit, and generate risk display icons in the local display area based on the spatial information and risk level.

[0138] In some embodiments, the generation module 760 is further configured to, in response to an update of the construction drawings, determine the change information of the components of the updated construction drawings; and adjust the risk display icons in the local display area based on the change information.

[0139] It should be noted that the above description of the processor 140 and its modules is only for convenience of description, and does not limit the present invention to the scope of the embodiments given. In some embodiments, Figure 7 the acquisition module 710, the first determination module 720, the second determination module 730, the third determination module 740, the warning module 750, and the generation module 760 of the processor 140 disclosed in

[0140] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only an example and does not constitute a limitation of the present invention. Although not explicitly stated here, those skilled in the art may make various modifications, improvements, and corrections to the present invention. Such modifications, improvements, and corrections are proposed in the present invention, so such modifications, improvements, and corrections still fall within the spirit and scope of the exemplary embodiments of the present invention.

[0141] At the same time, the present invention uses specific terms to describe the embodiments of the present invention. Such as "one embodiment", "an embodiment", and / or "some embodiments" mean a certain feature, structure, or characteristic related to at least one embodiment of the present invention. Therefore, it should be emphasized and noted that the "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more at different positions in the present invention does not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of the present invention can be appropriately combined.

[0142] It should be noted that, in order to simplify the description of the present invention disclosure and thus assist in the understanding of one or more embodiments, in the foregoing description of the present invention, sometimes multiple features are grouped into one embodiment, drawing, or description thereof. However, this disclosure method does not mean that the features required by the object of the present invention are more than the features mentioned in the claims. In fact, the features of the embodiments are fewer than all the features of the single embodiments disclosed above.

Claims

1. A construction quality and safety control method, characterized in that, The method includes: Obtaining historical construction data, where the historical construction data includes multiple completed historical minimum production units and quality and safety incidents corresponding to each of the historical minimum production units; Determining multiple internal attributes of each of the historical minimum production units based on the historical construction data, and first risk association information between combinations of the multiple internal attributes and the quality and safety incidents; the internal attributes include at least one of task item attributes, personnel attributes, and area attributes; Determining multiple current minimum production units of the current construction project and current internal attributes of each of the current minimum production units; Determining one or more risk points of the current minimum production units and risk probabilities corresponding to each of the risk points based on the current internal attributes and the first risk association information, where each of the risk points corresponds to one of the quality and safety incidents; Obtaining the harm degree of the risk points, and determining the risk levels of the risk points based on the risk probabilities and the harm degrees; Obtaining the general layout plan, building outline, and number of building floors of the current construction project; Determining a model framework based on the general layout plan; Determining a local display area based on the building outline; Generating a project display model based on the model framework, the local display area, and the number of building floors, where the project display model includes multiple of the local display areas; Obtaining spatial information of the current minimum production units, and generating risk display icons in the local display area based on the spatial information and the risk levels; In response to an update of the construction drawings, determining change information of components of the updated construction drawings, where the change information includes personnel allocation of the minimum production units; Adjusting the risk display icons in the local display area based on the change information.

2. The method according to claim 1, characterized in that The determining multiple internal attributes of each of the historical minimum production units based on the historical construction data, and the first risk association information between combinations of the multiple internal attributes and quality and safety incidents includes: Determining a first set and a second set; the first set consists of one or more of the historical minimum production units to which the internal attributes belong; the second set consists of one or more of the historical minimum production units to which combinations of the internal attributes belong; Determining the quality and safety incidents corresponding to all of the historical minimum production units in the first set and the second set; Determining the first risk association information based on the number of historical minimum production units and the number of quality and safety incidents in the first set, and the number of historical minimum production units and the number of quality and safety incidents in the second set.

3. The method according to claim 1, wherein The determining one or more risk points of the current minimum production units and risk probabilities corresponding to each of the risk points based on the current internal attributes and the first risk association information includes: Determining the one or more risk points and multiple sub-risk probabilities of each of the risk points based on the current internal attributes, combinations of the current internal attributes, and the first risk association information; Based on the multiple sub-risk probabilities of each of the risk points, obtain the risk probability corresponding to the risk point.

4. The method according to claim 1, characterized in that The method further includes: Determine multiple external attributes of each of the historical minimum production units based on the historical construction data, and second risk association information between combinations of the multiple external attributes and the quality and safety incidents, where the external attributes at least include inspection attributes; In response to the current minimum production unit being under construction, obtain the current external attributes of the current minimum production unit; and, Based on the current internal attributes, the current external attributes, the first risk association information, and the second risk association information, determine one or more of the risk points of the current minimum production unit and the risk probability corresponding to each of the risk points.

5. A construction quality and safety control system, characterized in that The system includes: An acquisition module, configured to acquire historical construction data, where the historical construction data includes multiple historical minimum production units that have been completed and quality and safety incidents corresponding to each of the historical minimum production units; A first determination module, configured to determine multiple internal attributes of each of the historical minimum production units based on the historical construction data, and first risk association information between combinations of the multiple internal attributes and the quality and safety incidents; the internal attributes include at least one of task item attributes, personnel attributes, and area attributes; A second determination module, configured to determine multiple current minimum production units of the current construction project and the current internal attributes of each of the current minimum production units; A third determination module, configured to determine one or more risk points of the current minimum production unit and the risk probability corresponding to each of the risk points based on the current internal attributes and the first risk association information, where each of the risk points corresponds to one of the quality and safety incidents; An early warning module, configured to obtain the harm degree of the risk point, and determine the risk level of the risk point based on the risk probability and the harm degree; A generation module, configured to: Obtain the general layout plan, building outline, and number of building floors of the current construction project; Determine a model framework based on the general layout plan; Determine a local display area based on the building outline; Generate a project display model based on the model framework, the local display area, and the number of building floors, where the project display model includes multiple of the local display areas; Obtain the spatial information of the current minimum production unit, and generate a risk display icon in the local display area based on the spatial information and the risk level; In response to an update of the construction drawings, determine the change information of the components of the updated construction drawings, where the change information includes the personnel allocation of the minimum production unit; Adjust the risk display icons in the local display area based on the change information.

6. The system according to claim 5, characterized in that, The third determination module is further configured to: Determine the one or more risk points and multiple sub-risk probabilities of each of the risk points based on the current internal attributes, combinations of the current internal attributes, and the first risk association information; Based on the multiple sub-risk probabilities of each of the risk points, obtain the risk probability corresponding to the risk point.

7. A construction quality and safety control device, characterized in that, The device includes: at least one processor and at least one memory; The at least one memory is used for storing computer instructions; The at least one processor is used for executing at least some of the computer instructions to implement the construction quality and safety control method according to any one of claims 1 to 4.

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