Construction quality safety control method, system and device

Abstract

The invention provides a construction quality safety control method, system and device. The method comprises the following steps: acquiring historical construction data; determining a plurality of internal attributes of each historical minimum production unit based on the historical construction data, and first risk association information between a combination of the plurality of internal attributes and the quality safety event; determining a plurality of current minimum production units of the current construction project and a current internal attribute of each current minimum production unit; one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point are determined at least based on the current internal attribute and the first risk associated information, and each risk point corresponds to one quality safety event; on the basis, the possible area and risk level of the quality safety event can be efficiently and intelligently determined without depending on artificial experience, and the accuracy is high.

Description

Technical Field

[0001] The present invention relates to the field of construction quality safety management, and in particular to a construction quality 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 the project 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 inspection efficiency and accuracy are difficult to guarantee; for example, for complex construction environments and large-scale construction projects, traditional quality and safety management methods are often unable to cope with them, and it is difficult to fully cover and respond in a timely manner. In addition, traditional construction quality and safety management methods have a low reuse rate and can generally only be used for specific projects, and are difficult to apply to other construction projects.

[0003] In view of this, the present invention provides a construction quality 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: acquiring historical construction data, the historical construction data comprising 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 a combination of the plurality of internal attributes and the quality and safety events; the internal attributes comprising at least one of task item attributes, personnel attributes and area attributes; determining a plurality of current minimum production units of a current construction project and a current internal attribute of each of the current minimum production units; determining one or more risk points of the current minimum production unit 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 also provide a construction quality and safety control system, which includes: an acquisition module configured to acquire historical construction data, wherein the historical construction data includes multiple 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 multiple internal attributes of each of the historical minimum production units based on the historical construction data, and first risk association information between a combination of the multiple internal attributes and the quality and safety events; 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, wherein each of the risk points corresponds to one of the quality and safety events.

[0006] One or more embodiments of the present invention also provide a construction quality and safety control device, which 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 part of the computer instructions to implement the construction quality and safety control method described in the above embodiments.

[0007] The construction quality and safety control method, system and device provided in the present invention determine the correlation between the internal attributes (or combination of internal attributes) of construction projects such as different construction tasks, personnel, construction areas and the risk of quality and safety incidents (i.e. the correlation between different internal attributes or combinations of internal attributes and the probability of quality and safety incidents) based on historical construction data, and predict the area and probability of quality and safety accidents occurring in the current construction project based on the correlation, which can at least achieve the following: efficiently and intelligently determine the area and risk level where quality and safety incidents may occur, without relying on manual experience and with high accuracy; and conduct a check on quality and safety incidents based on risk levels, so as to quickly and accurately eliminate the hidden dangers of possible quality and safety incidents, and have a good quality and safety incident control effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The present invention will be further described in the form of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein: Figure 1 is a schematic diagram of an application scenario of a construction quality safety control system according to some embodiments of the present invention; Figure 2is an exemplary flow chart of a construction quality safety control method according to some embodiments of the present invention; Figure 3 is a schematic diagram of determining risk levels according to some embodiments of the present invention; Figure 4 is an exemplary flow chart of generating a risk display icon according to some embodiments of the present invention; Figure 5 is a schematic diagram of a general plan view according to some embodiments of the present invention; Figure 6 is a schematic diagram of a project display model according to some embodiments of the present invention; Figure 7 is a schematic diagram of internal modules of a processor according to some embodiments of the present invention.

[0009] Explanation of the reference numerals: 110, current construction project; 120, network; 130, terminal; 140, processor; 150, storage device. DETAILED DESCRIPTION

[0010] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of the present invention. For ordinary technicians in this field, the present invention can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0011] It should be understood that the "system", "device", "unit" and / or "module" used herein are a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

[0012] As shown in the present invention and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular, but also include the plural. Generally speaking, the terms "include" and "comprise" 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, and the method or device may also include other steps or elements.

[0013] The present invention uses a flow chart to illustrate the operations performed by the system according to an embodiment of the present invention. It should be understood that the preceding or following operations are not necessarily performed precisely in order. On the contrary, the various steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0014] Figure 1 is a schematic diagram of an application scenario of a construction quality safety control system according to some embodiments of the present invention. Figure 1 As shown, the construction quality and safety control system 100 includes a current construction project 110, a network 120, a terminal 130, a processor 140, and a storage device 150, etc.

[0015] The current construction project 110 refers to a construction project task that needs to be quality and safety controlled. For example, the current construction project 110 may include a residential construction project, a commercial construction project, a road construction project, etc. The current construction project 110 includes a variety of construction data such as construction drawings, a construction contract list, engineering design and planning data, and construction management data. Quality and safety control refers to the evaluation and analysis of the construction quality and safety of the construction project to improve the quality of the project and reduce safety risks.

[0016] The network 120 may connect various 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 (e.g., the terminal 130, the processor 140, and the storage device 150, etc.) may be connected and / or communicate with each other through the network 120. For example, the storage device 150 may send historical construction data to the processor 140, etc., through the network 120.

[0017] 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 to users). The user can refer to a person who performs quality and safety control, or a designer or constructor of the current construction project 110. As an example only, the terminal 130 can be a mobile device, a tablet computer, a laptop computer, a desktop computer, or other devices with input and / or output functions, or any combination thereof.

[0018] 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 can obtain historical construction data; determine multiple internal attributes of each historical minimum production unit based on the historical construction data, and the first risk association information between the combination of multiple internal attributes and the quality and safety event; determine multiple current minimum production units of the current construction project and the current internal attributes of each current minimum production unit; 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. Detailed description of the relevant content can be found later (such as Figure 2 , Figure 3 For example, the processor 140 can obtain historical construction data through step 210; step 220, based on the historical construction data, determine multiple internal attributes of each historical minimum production unit and the first risk association information between the combination of multiple internal attributes and the quality and safety event; step 230, determine multiple current minimum production units of the current construction project and the current internal attributes of each current minimum production unit; step 240, based on the current internal attributes and the first risk association information, determine one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point. Each risk point corresponds to a quality and safety event.

[0019] 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.

[0020] 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 large-capacity memory, a removable memory, 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.

[0021] It is worth noting 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. For those of ordinary skill in the art, various changes and modifications can be made based on the description of the present invention. For example, the construction quality and safety control system 100 may also include a database, an information source, etc. For another 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 deviate from the scope of the present invention.

[0022] Figure 2is an exemplary flow chart of a construction quality safety control method according to some embodiments of the present invention. In some embodiments, process 200 may be executed by a processing device (eg, processor 140). Figure 2 As shown, process 200 includes the following steps.

[0023] Step 210, obtaining historical construction data.

[0024] Historical construction data refers to various data and records generated in completed construction projects. For example, historical construction data may include construction tasks, construction areas, construction personnel, construction period, weather, etc.

[0025] In some embodiments, the historical construction data includes a plurality of completed historical minimum production units and quality and safety events corresponding to each historical minimum production unit.

[0026] The minimum production unit refers to the most basic work group or work unit in a construction project that can independently complete a specific construction task or process. For example, the minimum production unit may include work units such as steel bar tying, concrete pouring, formwork installation, and electrical wiring. The historical minimum production unit refers to the minimum production unit in a completed / ongoing construction project.

[0027] A quality and safety incident refers to an accident or problem in the quality or safety of a project. In some embodiments, a quality and safety incident includes multiple attributes such as incident classification, cause, and degree of harm.

[0028] In some embodiments, there is a corresponding relationship between the minimum production unit and the quality and safety events. For example, the quality and safety events corresponding to the concrete pouring work unit include substandard concrete strength, and the quality and safety events corresponding to the exterior wall construction unit include falling from height, etc. In some embodiments, one minimum production unit may correspond to multiple quality and safety events. For example, the quality and safety events that may correspond to the electrical wiring unit include line short circuit accidents, electric shock safety accidents, etc. In some embodiments, one quality and safety event may also correspond to multiple minimum production units. For example, the minimum production unit corresponding to the quality and safety event falling from height may include scaffolding erection and dismantling units, exterior wall construction units, etc.

[0029] In some embodiments, the historical construction data may be pre-stored in the storage device 150 in the form of graphs, tables, or vectors. The processor 140 may obtain the historical construction data by reading from the storage device 150. In some embodiments, the historical construction data may be obtained by one or more of the following methods. For example, during the construction of a historical building, data such as construction tasks, construction areas, construction personnel, construction periods, and weather during the construction of a historical building project may be collected by manual collection, IoT devices (such as temperature and humidity sensors, wind speed and direction meters, camera equipment, etc.), drones, and remote sensing technology as historical construction data, and the historical construction data may be transmitted to the storage device 150 and / or the cloud platform by means of industrial routers, IoT gateways, etc. The processor 140 obtains the historical construction data by accessing the storage device 150 and / or the cloud platform. In some embodiments, the processor 140 may also obtain the historical construction data by parsing relevant materials of the historical construction project (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, and the like. In some embodiments, the processor 140 may also obtain historical construction data through a third-party information source (eg, the Internet, commercial databases, data providers, etc.).

[0030] Step 220: Determine, based on the historical construction data, a plurality of internal attributes of each historical minimum production unit and first risk association information between a combination of the plurality of internal attributes and a quality safety event.

[0031] Internal attributes refer to data and / or information related to the construction process of the construction project. In some embodiments, the internal attributes include at least one of task item attributes, personnel attributes, and area attributes.

[0032] Task item attributes refer to data and / or information related to a construction task. For example, task item attributes may include a task number, a task name (such as "formwork installation", "concrete pouring", etc.), and the like.

[0033] Personnel attributes refer to the human resource data and / or information involved in the construction project. For example, personnel attributes may include personnel number, name and contact information, position / job type, safety training records (such as safety education or training attended, etc.), etc.

[0034] Area attributes refer to data and / or information about different areas or sections of a construction site. For example, area attributes may include area number, area name (such as "exterior wall", "underground garage", etc.), and area location (specific geographical or building location, which can be expressed in text, floor plan, coordinates, etc.).

[0035] In some embodiments, the internal attributes may also include other multiple attributes, such as construction period attributes, construction cost attributes, construction material attributes, etc.

[0036] In some embodiments, the processor 140 may determine multiple internal attributes of each historical minimum production unit based on the historical construction data. For example, the processor 140 may parse the historical construction data through statistical analysis, data mining and text analysis, machine learning models, and other methods to obtain the internal attributes corresponding to each historical minimum production unit.

[0037] The combination of internal attributes is the result of freely combining the internal attributes of multiple historical minimum production units. For example, multiple historical minimum production units include three internal attributes A, B, and C, and then combining them can obtain a total of four internal attribute combinations of AB, AC, BC, and ABC.

[0038] The first risk association information refers to the association between the internal attributes and / or the combination of internal attributes of the historical minimum production unit and the risk of a quality safety incident. The first risk association information can represent the risk of a quality safety incident by probability, and the higher the probability, the greater the risk.

[0039] In some embodiments, the processor 140 can determine a first set and a second set; determine the quality and safety events corresponding to all 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 events in the first set, and the number of historical minimum production units and the number of quality and safety events in the second set.

[0040] The first set is a set consisting of one or more historical minimum production units to which the internal attribute belongs. For example, if internal attribute A appears in 100 historical minimum production units, and internal attribute B appears in 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 constitute the first set.

[0041] The second set is a set consisting of one or more historical minimum production units to which the combination of internal attributes belongs. For example, if the internal attribute combination AB appears in 110 historical minimum production units, and the internal attribute combination BC appears in 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 constitute the second set.

[0042] In some embodiments, the processor 140 may determine the quality and safety events in the first set and the quality and safety events in the second set, respectively. For example, the processor 140 may determine the number of quality and safety events that have occurred corresponding to the historical minimum production unit in the first set and the second set, respectively, and multiple attributes such as event classification, cause, and degree of harm.

[0043] 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, and the number of historical minimum production units and the number of quality and safety events in the second set.

[0044] For example, in the 100 historical minimum production units to which the internal attribute A belongs in the first set, the quality safety event W1 occurs 10 times, and the quality safety event W2 occurs 30 times. Then the first risk association information between the internal attribute A and the quality safety event W1 is 10%, and the first risk association information between the internal attribute A and the quality safety event W2 is 30%. For another example, in the 80 historical minimum production units described by the internal attribute combination BC in the second set, the quality safety event W1 occurs 30 times, and the quality safety event W3 occurs 40 times. Then the first risk association information between the internal attribute combination BC and the quality safety event W1 is 37.5%, and the first risk association information between the internal attribute combination BC and the quality safety event W3 is 50%. Similarly, the processor 140 can determine the first risk association information between all internal attributes and combinations of internal attributes and all quality safety events in the first set and the second set.

[0045] 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 only belongs to one historical minimum production unit, and the historical minimum production unit to which internal attribute D belongs happens to have a quality safety incident W1. Obviously, in this case, the first risk association information between internal attribute D and quality safety incident W1 is not necessarily 100%, but is just 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 the internal attributes (or combinations of internal attributes) whose number of historical production units exceeds a threshold and the quality safety incident, so as to reduce accidental errors and improve the accuracy of the first risk association information.

[0046] In some embodiments, the processor 140 may also construct a risk database based on the historical minimum production unit, internal attributes, quality and safety events, and the first risk association information. The risk database may represent the corresponding relationship between the historical minimum production unit, internal attributes, quality and safety events, and the first risk association information in a variety of ways such as a tree, a graph, a table, and a vector.

[0047] Step 230, determining multiple current minimum production units of the current construction project and current internal attributes of each current minimum production unit.

[0048] The current minimum production unit refers to the minimum production unit in the current construction project.

[0049] Current internal attributes refer to the internal attributes of the current minimum production unit.

[0050] In some embodiments, the processor 140 can determine multiple current minimum production units of the current construction project and the current internal attributes of each current minimum production unit based on the construction data such as the construction design drawing and the construction contract list of the current project through statistical analysis, data mining and text analysis, machine learning models, etc. Among them, the construction design drawing will mark the construction specifications, materials, dimensions, construction process and other information; the construction contract list will stipulate the construction tasks, construction areas, performance objects, construction period and other information.

[0051] 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.

[0052] Among them, each risk point corresponds to a quality and safety incident.

[0053] A risk point refers to a quality safety incident that may occur in the current minimum production unit. For example, if a quality safety incident W1 may occur in the current minimum production unit P, then the quality safety incident W1 can be called a risk point of the current minimum production unit P.

[0054] Risk probability refers to the probability of a quality and safety incident occurring in the current minimum production unit.

[0055] In some embodiments, the processor 140 can determine one or more risk points and multiple sub-risk probabilities of each risk point based on the current internal attributes, the combination of current internal attributes and the first risk association information; based on the multiple sub-risk probabilities of each risk point, obtain the risk probability corresponding to the risk point.

[0056] The combination of the current internal attributes is the result of freely combining the current internal attributes. For example, for the current internal attributes X, Y, and Z, freely combining them can obtain four current internal attribute combinations, namely XY, XZ, YZ, and XYZ.

[0057] In some embodiments, the processor 140 can match the internal attributes and / or the combination of internal attributes in the risk database based on the current internal attributes and the combination of the current internal attributes. After a successful match, the quality and safety event in the historical minimum production unit whose first risk-related information is greater than a preset probability threshold (such as 1%) is used as the risk point of the current minimum production unit (less than the threshold means that the probability of occurrence is small and it can be considered that there is no risk), and the first risk-related information corresponding to the quality and safety event is used as the risk probability corresponding to the risk point.

[0058] The matching method can be determined according to the type of risk database. Taking the risk database as a vector database as an example, the matching method may include the distance between the current internal attribute and / or the current internal attribute and the internal attribute and / or the combination of internal attributes in the risk database (such as cosine distance, Euclidean distance, Manhattan distance, Chebyshev distance, etc.) being minimum or meeting a preset threshold, etc.

[0059] In some embodiments, the same quality and safety event may correspond to multiple first risk-related information, and multiple first risk-related information can be called sub-risk probabilities of the risk point corresponding to the quality and safety event. For example, the current minimum production unit P has three current internal attributes X, Y, and Z, which match the internal attributes A, B, and C in the risk database respectively. The first risk-related information corresponding to the quality and safety event W1 of the internal attribute A is 20%, the first risk-related information corresponding to the quality and safety event W1 of the internal attribute B is 30%, the first risk-related information corresponding to the quality and safety event W1 of the internal attribute C is 0, and the first risk-related information corresponding to the quality and safety event W1 of the internal attribute combination AB is 15%..., then the multiple sub-risk probabilities of the risk point corresponding to the quality and safety event W1 of the current minimum production unit P are 20%, 30%, 15%...

[0060] In some embodiments, the processor 140 may sort the multiple sub-risk probabilities of the risk point, and determine the largest sub-risk probability as the risk probability of the risk point.

[0061] In some embodiments, the minimum production unit also includes external attributes.

[0062] External attributes refer to data and / or information that are not directly related to the construction process of the construction project, but may have an impact on quality and safety incidents in the construction process. In some embodiments, the external attributes include at least inspection attributes. Inspection attributes refer to attributes related to project inspections in construction projects. 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 inspections and / or the stricter the inspection standards, the less likely a quality and safety incident will occur. In some embodiments, external attributes including inspection attributes can further improve the accuracy of the predicted risk probability of quality and safety incidents and obtain better quality and safety incident control effects.

[0063] In some embodiments, external attributes may also include weather, construction inspection, construction rectification, construction acceptance, and other attributes. External attributes are prone to change. For example, the weather may change at any time. For example, the inspection frequency, construction rectification, and construction acceptance standards for different minimum production units may also be different.

[0064] In some embodiments, the processor 140 may determine, based on historical construction data, a plurality of external attributes of each historical minimum production unit and second risk association information between a combination of the plurality of external attributes and a quality safety event.

[0065] In some embodiments, the method for obtaining the external attributes of the historical construction data is similar to the method for obtaining the internal attributes, and the details can be found in the above description (such as step 220).

[0066] The second risk association information refers to the association between the external attributes and / or the combination of external attributes of the historical minimum production unit and the risk of a quality safety incident. The second risk association information can represent the risk of a quality safety incident by probability, and the higher the probability, the greater the risk.

[0067] In some embodiments, the method by which the processor determines the second risk association information is similar to the method by which the processor determines the first risk association information, and for details, please refer to the relevant description above (such as step 230). In some embodiments, the processor 140 may add external attributes, combinations of external attributes, and relevant data of the second risk association information to the risk database.

[0068] In some embodiments, in response to the current minimum production unit being under construction, the processor 140 may obtain current external attributes of the current minimum production unit.

[0069] Current external attributes refer to the external attributes of the current minimum production unit.

[0070] In some embodiments, the current external attributes may be collected by a user (such as a quality and safety incident manager), or may be automatically collected based on an Internet of Things (IoT) device.

[0071] In some embodiments, the current external properties may change frequently, so during the construction process, the current external properties may be periodically collected and updated.

[0072] 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.

[0073] For example, the processor can determine the corresponding first risk association information based on the current internal attribute, 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 attribute of the minimum production unit; determine the corresponding second risk association information based on the current external attribute, 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 attribute of the minimum production unit. That is, the risk probability of the risk point includes the internal risk probability corresponding to the current internal attribute and the external risk probability corresponding to the current external attribute.

[0074] 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 the method of 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 determine one or more risk points and the risk probability corresponding to each risk point based on the third risk association information according to a method similar to step 240.

[0075] In some embodiments, the processor 140 can 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.

[0076] 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 the 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 internal attributes (and / or a combination of internal attributes) and external attributes (and / or a combination of external attributes) in a large amount of historical construction data, and the training labels include the first risk association information and the second risk association information.

[0077] In some embodiments, as described above, the current external attributes change significantly 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.

[0078] In some embodiments of the present invention, the accuracy of determined risk points and risk probabilities can be improved through internal and external attributes, and targeted inspections and rectifications of risk points can reduce the possibility of quality and safety incidents. At the same time, when the external attributes of the construction project change, the risk points and corresponding risk probabilities are updated in a timely manner, which can further reduce the possibility of quality and safety incidents.

[0079] In some embodiments, the processor 140 may also obtain the quality and safety events that occurred 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 may update the risk database with the quality and safety events that have occurred during the construction process and the corresponding internal attributes and external attributes as historical construction data.

[0080] In some embodiments, during the construction process, the risk database is updated based on the quality and safety incidents that have occurred, and the risk points and risk probabilities can be adjusted according to the specific circumstances of the construction to further reduce the possibility of quality and safety incidents and obtain better quality and safety control effects.

[0081] It should be noted that when investigating quality and safety incidents, it is necessary to prioritize the resolution of quality and safety incidents with a higher degree of urgency. However, different quality and safety incidents have different risk probabilities and degrees of harm. The accuracy of determining quality and safety incidents based only on risk probability or degree of harm is difficult to meet the needs. For example, the risk probability of a worker being scratched is high, but the degree of harm is low; the risk probability of a worker falling is low, but the degree of harm is high.

[0082] In some embodiments, the processor may obtain the degree of harm of the risk point, and determine the risk level of the risk point based on the risk probability and the degree of harm.

[0083] 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 FIG. 1 is a schematic diagram of determining risk levels according to some embodiments of the present invention. Figure 3 As shown, the processor can determine the probability level of the quality and safety incident according to the risk probability. For example, a risk probability of less than 10% is a low probability, a risk probability of 10% to 50% is a medium probability, and a risk probability greater than 50% is a high probability. 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, abrasions correspond to low hazard, falls from height correspond to high hazard, and incidents that cause certain economic losses (such as economic losses of 100,000 yuan) correspond to medium hazard. Exemplary risk levels may include low risk, general risk, medium risk, higher risk, high risk, etc.

[0084] In some embodiments of the present invention, the risk level of a quality and safety incident is determined by risk probability and degree of hazard, so that the risk level of a quality and safety incident can be better evaluated, quality and safety incidents with higher risk levels can be resolved preferentially, and better quality and safety incident control effects can be achieved.

[0085] In some embodiments, the processor can issue an early warning for quality and safety events based on a preset early warning strategy. Exemplarily, the early warning strategy may include one or more of the following: issuing an early warning for quality and safety events with a risk level of general risk or above; issuing an early warning when the risk level of a quality and safety event increases (for example, an early warning when the risk level increases due to irregular construction processes); issuing an early warning when the risk level lasts for a period exceeding a threshold (such as 12 hours, 24 hours, etc.) and has not been checked, etc.

[0086] In some embodiments of the present invention, risk warnings can be issued in a timely manner through early warning strategies, facilitating timely investigation of quality and safety incidents.

[0087] In some embodiments, the processor 140 can also provide suggestions for troubleshooting and rectification of quality and safety incidents. For example, the current minimum production unit includes two attributes M and N (internal attributes and / or external attributes), and the corresponding risk level is medium risk. The processor can query the attribute combination containing attributes M and N in the risk database, and use the attribute combination with a risk level lower than medium risk as a troubleshooting suggestion. For example, if the risk level of the attribute combination L, M, N including M and N in the risk database is low risk, it may be that attribute L reduces the risk level of attributes M and N, and the troubleshooting and rectification suggestions may include adding attribute L.

[0088] In some embodiments, in order to more conveniently and intuitively determine the location and risk level of a quality and safety incident, the processor 140 may also display a visual risk display icon through a model.

[0089] Figure 4 4 is an exemplary flow chart of generating a risk display icon according to some embodiments of the present invention. In some embodiments, process 400 may be executed by a processing device (eg, processor 140). Figure 4 As shown, process 400 includes the following steps.

[0090] Step 410, obtaining the general plan, building outline and number of building floors of the current construction project.

[0091] The master plan is a detailed drawing showing the site layout of the entire construction project. The master plan includes the overall planning of the project site's topography, building layout, roads, greening, equipment placement, and other infrastructure. Figure 5 Schematic diagram of the general plan view according to some embodiments of the present invention. Figure 5 As shown, the site plan may include a building outline 510 .

[0092] The building outline refers to the edge line of the building as depicted in the general plan. Figure 5 As shown, building outline 510 may display the exterior form and footprint of a building.

[0093] The number of 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 floors can show the height and spatial arrangement of the building.

[0094] In some embodiments, the general plan, building outline, and number of building floors of the current construction project may be acquired based on construction data (such as construction drawings) of the current construction project.

[0095] Step 420, determining a model framework based on the general plan.

[0096] The model framework refers to the architecture of the project display model. The project display model refers to a physical model that displays risk points and the risk probabilities of risk points. In some embodiments, the processor 140 can convert the master plan into an axonometric view, and use the axonometric view as the framework of the project display model. The processor 140 can convert the master plan into an axonometric view by projection.

[0097] Figure 6 is a schematic diagram of a project display model according to some embodiments of the present invention. Figure 6 As shown, the model framework 520 is obtained by converting the general plan into an axonometric view by projection.

[0098] Step 430: determine a local display area based on the building outline.

[0099] The local display area refers to a partial area of ​​the current construction project displayed in the project display model. In some embodiments, the processor can use a thumbnail of the building outline in the axonometric view as a local display area for displaying risk points and risk probabilities.

[0100] Step 440: Generate a project display model based on the model framework, the local display area and the number of building floors, wherein the project display model includes a plurality of local display areas.

[0101] In some embodiments, Figure 6 As shown, the processor can copy multiple copies of the thumbnail of the building outline within the model frame (the number of copies is equal to the number of building floors) and then translate them, and each layer after translation does not overlap and is evenly spaced, and the copied results are used as multiple local display areas.

[0102] In some embodiments, the item display model is a 2.5D model.

[0103] In some embodiments of the present invention, the project display model of the 2.5D model can at least achieve the following effects: it is technically simpler, and there is no need to spend more manpower and cost to produce a complex physical model (such as a BIM model), and only simple projection and other operations on the general plan are required; it only displays key information (such as the location of risk points, risk levels), with less interference. Other models (such as BIM models) have complex internal components and more interfering information, which can easily block key information; it is concise enough to visually display all information, including floors, coordinates, safety risk levels, etc., to avoid missing information.

[0104] Step 450, obtaining the spatial information of the current minimum production unit, and generating a risk display icon in the local display area based on the spatial information and the risk level.

[0105] Spatial information refers to the spatial location 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 location information of the minimum production unit during construction, such as building and floor information. In some embodiments, the spatial information may be obtained based on parsing construction data (such as construction drawings).

[0106] The risk display icon is an icon that displays the location of risk points and risk levels. Figure 6 As 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 icons can also display risk levels through different colors. For example, green represents low risk or no risk; yellow represents medium risk; orange represents higher risk; red represents high risk, etc.

[0107] In some embodiments, the processor may determine the location of the risk display icon in the local display area based on the spatial information, and determine the color of the risk display icon based on the risk level. For more information on determining the risk level, please refer to the relevant part above, such as Figure 2 , Figure 3 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 the process 200, and combine Figure 3 The schematic diagram shown determines the risk level corresponding to each risk point.

[0108] In some embodiments, in response to the construction drawing being updated, change information of components of the updated construction drawing is determined; and the risk display icon in the local display area is adjusted based on the change information.

[0109] It is understandable that when the construction drawings are updated, they can be adjusted locally (i.e., some parts of the construction drawings) rather than the entire drawings. For example, when the construction drawings are updated, they may be adjusted for a certain floor.

[0110] Change information includes spatial change information and attribute change information.

[0111] Spatial change information refers to the spatial changes in the construction area of ​​the smallest production unit, such as changes in electrical wiring.

[0112] The attribute change information refers to the change of the current internal attributes and / or current external attributes of the minimum production unit, for example, the personnel deployment, construction period adjustment, weather changes, etc. of the minimum production unit.

[0113] 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 frame corner points and the update area corner points of the construction drawing before the update and the coordinates of the update area corner points on the construction drawing after the update.

[0114] 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 comparing the risk level of the risk display icon with the risk level of the project display model); Figure 2 , Figure 3 A similar method is used to determine the risk level corresponding to the changed attribute).

[0115] In some embodiments of the present invention, when a drawing changes, the position and risk level of the risk display icon are updated accordingly, so that the location and probability of quality and safety incidents can be determined more clearly and accurately, targeted inspections can be carried out, and better quality and safety incident management effects can be obtained.

[0116] In some embodiments, quality and safety events also have time attributes, that is, the location and probability of occurrence of quality and safety events change over time. The project display model can sort and connect 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 in quality and safety events and better control quality and safety events.

[0117] In some embodiments, the local display area of ​​the project display model can also be associated with the corresponding floor plan, elevation, section, large-scale drawing and other related drawings, and all the documents and data of the corresponding floor. That is, the project display model displays thumbnail information such as the building outline and risk display icon, but when it comes to a specific local display area (such as a floor), the associated floor plan, elevation, section, node large-scale drawing and other detailed information can be displayed, and the risk points, task orders, inspection orders, acceptance orders and other related information during actual construction can be further displayed.

[0118] In some embodiments of the present invention, locally displayed area-related drawings and related information during actual construction can more intuitively display the personnel distribution at a certain moment in history, the current real-time personnel distribution, cost and resource distribution, etc., and can better judge whether the personnel distribution meets the progress and construction requirements, whether the cost distribution meets expectations, and can improve decision-making efficiency; in addition, if a quality and safety incident occurs, it can also be more convenient and quick to investigate the cause of the accident and the relevant responsible persons.

[0119] Figure 7 is a schematic diagram of the internal modules of a processor according to some embodiments of the present invention. Figure 7 As 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 .

[0120] The acquisition module 710 is configured to acquire historical construction data, where the historical construction data includes a plurality of completed historical minimum production units and quality safety events corresponding to each historical minimum production unit.

[0121] The first determination module 720 is configured to determine, based on historical construction data, a plurality of internal attributes of each historical minimum production unit and first risk association information between a combination of the plurality of internal attributes and a quality safety event. In some embodiments, the internal attributes include at least one of task item attributes, personnel attributes, and area attributes.

[0122] In some embodiments, the first determination module 720 is further configured to determine a first set and a second set; the first set is composed of one or more historical minimum production units belonging to internal attributes; the second set is composed of one or more historical minimum production units belonging to a combination of internal attributes; determine the quality and safety events corresponding to all the historical minimum production units in the first set and the second set; determine the first risk association information based on the number of the historical minimum production units and the number of the quality and safety events in the first set, and the number of the historical minimum production units and the number of the quality and safety events in the second set.

[0123] The second determination module 730 is configured to determine a plurality of current minimum production units of the current construction project and a current internal attribute of each of the current minimum production units.

[0124] 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 safety event.

[0125] In some embodiments, the third determination module 740 is further configured to determine one or more risk points and multiple sub-risk probabilities corresponding to different risk types of each risk point based on the current internal attributes, the combination of current internal attributes and the first risk association information; based on the multiple sub-risk probabilities of each risk point, obtain the risk probability corresponding to the risk point.

[0126] In some embodiments, the third determination module 740 is further configured to determine multiple external attributes of each historical minimum production unit and second risk association information between a combination of multiple external attributes and quality and safety events based on historical construction data, the external attributes including at least 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 internal attributes, external attributes, the first risk association information and the second risk association information, determine one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point.

[0127] In some embodiments, the processor 140 may further include an early warning module 750 and a generation module 760 .

[0128] The early warning module 750 is configured to obtain the degree of harm of the risk point and determine the risk level of the risk point based on the risk probability and the degree of harm.

[0129] In some embodiments, the warning module 750 is further configured to issue a warning based on the risk level.

[0130] The generation module 760 is configured to obtain the master plan, building outline and number of building floors of the current construction project; determine the model framework based on the master plan; determine the 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, the project display model including multiple 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 risk level.

[0131] In some embodiments, the generation module 760 is further configured to determine change information of components of the updated construction drawings in response to the construction drawings being updated; and adjust the risk display icons in the local display area based on the change information.

[0132] 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. 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 the disclosure may be different modules in a system, or one module may realize the functions of two or more of the above modules. For example, each module may share a storage module, or each module may have its own storage module. Such variations are within the protection scope of the present invention.

[0133] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of the present invention. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements and corrections to the present invention. Such modifications, improvements and corrections are suggested in the present invention, so such modifications, improvements and corrections still belong to the spirit and scope of the exemplary embodiments of the present invention.

[0134] At the same time, the present invention uses specific words to describe the embodiments of the present invention. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of the present invention. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in 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.

[0135] It should be noted that in order to simplify the description of the present invention and thus facilitate the understanding of one or more embodiments, in the above description of the present invention, multiple features are sometimes grouped into one embodiment, drawing or description thereof. However, this disclosure method does not mean that the subject matter of the present invention requires more features than those mentioned in the claims. In fact, the features of an embodiment are less than all the features of a single embodiment disclosed above.

Claims

1. A construction quality safety control method, characterized in that: The method comprises: Acquire historical construction data, wherein 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; 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 a combination of the plurality of internal attributes and the quality and safety event; the internal attributes include at least one of a task item attribute, a personnel attribute, and an area attribute; Determine a plurality of current minimum production units of the current construction project and current internal attributes of each of the current minimum production units; Based on the current internal attributes and the first risk association information, one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point are determined, wherein each risk point corresponds to one quality and safety event.

2. The method according to claim 1, characterized in that The determining, 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 a combination of the plurality of internal attributes and a quality safety event, includes: Determine a first set and a second set; the first set is composed of one or more of the historical minimum production units to which the internal attributes belong; the second set is composed of one or more of the historical minimum production units to which the combination of the 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; The first risk association information is determined based on the number of the historical minimum production units and the number of the quality and safety incidents in the first set, and the number of the historical minimum production units and the number of the quality and safety incidents in the second set.

3. The method according to claim 1, characterized in that The determining, based on the current internal attribute and the first risk association information, one or more risk points of the current minimum production unit and the risk probability corresponding to each risk point includes: Determine the one or more risk points and a plurality of sub-risk probabilities of each of the risk points based on the current internal attribute, a combination of the current internal attributes and the first risk association information; Based on the multiple sub-risk probabilities of each risk point, the risk probability corresponding to the risk point is obtained.

4. The method according to claim 1, characterized in that The method further comprises: Determine, based on the historical construction data, a plurality of external attributes of each of the historical minimum production units, and second risk association information between a combination of the plurality of external attributes and the quality and safety event, wherein the external attributes at least include an inspection attribute; In response to the current minimum production unit being under construction, obtaining current external attributes of the current minimum production unit; and, One or more risk points of the current minimum production unit and the risk probability corresponding to each risk point are determined based on the current internal attribute, the current external attribute, the first risk association information, and the second risk association information.

5. The method according to claim 1, characterized in that The method further comprises: The degree of harm of the risk point is obtained, and the risk level of the risk point is determined based on the risk probability and the degree of harm.

6. The method according to claim 5, characterized in that The method further comprises: Obtaining the general plan, building outline and number of building floors of the current construction project; Determine a model framework based on the master 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, wherein the project display model includes a plurality of the local display areas; The spatial information of the current minimum production unit is acquired, and a risk display icon is generated in the local display area based on the spatial information and the risk level.

7. The method according to claim 6, characterized in that The space information includes drawing information, and the method further includes: In response to the construction drawing being updated, determining change information of components of the updated construction drawing; The risk display icon in the local display area is adjusted based on the change information.

8. A construction quality safety control system, characterized in that: The system comprises: An acquisition module is configured to acquire historical construction data, wherein the historical construction data includes a plurality of completed historical minimum production units and quality safety events corresponding to each of the historical minimum production units; A first determination module is configured to determine 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 a combination of the plurality of internal attributes and the quality and safety event; the internal attributes include at least one of a task item attribute, a personnel attribute, and an area attribute; A second determination module is configured to determine a plurality of current minimum production units of the current construction project and a current internal attribute of each of the current minimum production units; The third determination module 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 on the current internal attributes and the first risk association information, wherein each risk point corresponds to one quality and safety event.

9. The system according to claim 8, characterized in that The third determination module is further configured to: Determine the one or more risk points and a plurality of sub-risk probabilities of each of the risk points based on the current internal attribute, a combination of the current internal attributes and the first risk association information; Based on the multiple sub-risk probabilities of each risk point, the risk probability corresponding to the risk point is obtained.

10. A construction quality safety control device, characterized in that: The apparatus comprises: 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 part of the computer instructions to implement the construction quality safety control method as described in any one of claims 1 to 7.

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