A method and system for online risk management of building construction quality and safety

Abstract

The present application relates to an online risk management method and system for construction quality and safety, which includes obtaining historical construction quality and safety accident information for analysis, calculating the probability of occurrence of each accident type; obtaining a risk event list of the current construction project progress; obtaining on-site monitoring data in real time; matching the risk event list and on-site monitoring data with historical construction quality and safety accident information, obtaining the probability and loss of various accidents, and obtaining the expected loss. If the expected loss is greater than a first preset threshold, a decision on whether to stop work is made; obtaining the safety measures and safety costs that can be taken for various accidents, as well as the probability of accident occurrence and expected loss after taking safety measures, and generating a stop work decision instruction if the sum of the expected loss and safety cost after taking safety measures is greater than a second preset threshold. The present application has the function of improving the efficiency of obtaining safety risk warnings during construction.

Description

Technical Field

[0001] The present invention relates to the technical field of construction management, and in particular to an online risk management method and system for building construction quality and safety. Background Art

[0002] Currently, construction units often use weather forecasts to schedule future construction projects to reduce construction safety and quality issues caused by weather changes.

[0003] Existing construction companies often use weather forecasts issued by meteorological agencies as the basis for judging future weather conditions and arrange construction schedules according to weather forecasts. However, the accuracy of medium- and long-term weather forecasts is low. During actual construction, meteorological conditions are often inconsistent with weather forecasts. When encountering severe weather conditions, some construction units choose to suspend work to deal with severe weather in order to ensure safety, resulting in delays in construction schedules. Some construction units choose to take risks in order to meet deadlines, which may lead to construction quality and safety problems, resulting in economic losses or even casualties.

[0004] The construction plans made by construction management personnel are highly dependent on the accuracy of weather forecasts, and it is difficult to make scientific risk avoidance decisions in a timely manner in response to meteorological changes. As a result, it is impossible to change the construction plans in a timely manner and notify relevant personnel. Summary of the invention

[0005] In order to improve the efficiency of obtaining safety risk warnings during the construction process, the present application provides a method and system for online risk management of construction quality and safety.

[0006] The above-mentioned invention objective of the present application is achieved through the following technical solutions:

[0007] An online risk management method for building construction quality and safety, the steps of the online risk management method for building construction quality and safety include:

[0008] Obtaining historical construction quality and safety accident information, obtaining accident type data, accident cause data and accident loss data corresponding to each accident type from the historical construction quality and safety accident information, and calculating the probability of an accident corresponding to each accident type data according to the accident cause data;

[0009] Acquire the current construction project progress data, and acquire a risk event list from the current construction project progress data according to the accident type;

[0010] Acquire the risk factor data to be monitored according to the risk event list, and acquire the corresponding on-site monitoring data in real time according to the risk factor data to be monitored;

[0011] Match the risk event list and the corresponding on-site monitoring data with the historical construction quality and safety accident information, obtain the accident probability and average accident loss of each type of accident in the risk event list, and obtain the expected loss of each type of accident; compare the expected loss with the first preset threshold, and if the expected loss is greater than the first preset threshold, generate whether to stop work decision information, the whether to stop work decision information includes a stop work decision instruction;

[0012] Match the risk event list with historical construction quality safety accident information, obtain the safety measures that can be taken to reduce the probability of each type of accident in the risk event list, obtain the safety cost of taking the safety measures and the probability of accident after taking the safety measures, and obtain the expected loss after taking the safety measures. If the sum of the expected loss after taking the safety measures and the safety cost is greater than the second preset threshold, generate a stop work decision instruction.

[0013] By adopting the above technical solution, historical construction quality and safety accident information is obtained, each construction quality and safety accident is recorded and analyzed, the causes of the accident and related risk factors can be summarized, the loss of the accident and the probability of occurrence can be evaluated, so that when the same risk factors are involved in the subsequent construction process, more favorable decisions can be made; a list of risk events of the current construction project is obtained, which is convenient for monitoring possible risks, so that corresponding safety measures can be taken in time when risk factors intervene to reduce the possibility of accidents; the corresponding on-site monitoring data is obtained in real time according to the risk factor data to be monitored, and the risk event list and the corresponding on-site monitoring data are matched with the historical construction quality and safety accident information, so as to obtain the probability of accidents and accident losses under the intervention of risk factors, and obtain the expected losses of accidents; in addition, from the analysis of historical construction quality and safety accident information, safety measures for reducing the probability of accidents can be obtained, and the safety costs and effects of taking corresponding safety measures can be obtained, so that management personnel can make decisions on whether to continue the current construction project based on the expected losses of accidents, the costs and effects of taking safety measures and the preset thresholds that can be tolerated; making decisions by calculating the expected losses reduces the possibility of errors caused by human judgment, reduces the reduction in construction efficiency caused by risk avoidance errors, and achieves the effect of scientific risk avoidance.

[0014] In a preferred example, the present application can be further configured as follows: the acquisition of historical construction quality and safety accident information, the acquisition of accident type data, accident cause data and accident loss data corresponding to each of the accident types from the historical construction quality and safety accident information, and the calculation of the accident occurrence probability corresponding to each of the accident type data according to the accident cause data, specifically including:

[0015] Acquire internal construction quality safety accident data and external quality safety accident data to form the historical construction quality safety accident information;

[0016] Acquire accident investigation data from the historical construction safety accident information, and acquire accident cause data and accident loss data corresponding to each accident type from the accident investigation data;

[0017] The construction meteorological data is obtained from the risk factor monitoring module, and the probability of occurrence of various accident types under various meteorological conditions is analyzed based on the construction meteorological data.

[0018] By adopting the above technical solution, internal construction quality and safety accident data and external quality and safety accident data are obtained to form a historical construction quality and safety accident information database, which is convenient for analyzing a large number of construction quality and safety accidents to draw more scientific and reliable statistical conclusions, and improve the accuracy of risk event occurrence probability and accident loss data; obtain accident cause data and accident loss data corresponding to each accident type in the accident investigation data, classify, determine losses, and attribute accidents. Since the same risk factor may affect the probability of accidents in multiple construction projects, and the impact on each construction project is different, the attribution of accidents can also better derive the relationship between risk factors and accidents in different construction projects, so that when risk factors occur, corresponding measures can be taken in a targeted manner to improve the protection measures of high-risk projects, and at the same time, unnecessary protection measures should not be taken blindly for low-risk projects, so as to improve risk response efficiency; according to the construction meteorological data, the probability of risk events evolving into construction quality and safety accidents under the intervention of risk factors is analyzed, which is used to calculate the expected loss, so as to facilitate better decision-making when risk factors intervene.

[0019] In a preferred example, the present application may be further configured as follows: the step of acquiring corresponding on-site monitoring data in real time according to the risk factor data to be monitored specifically includes:

[0020] A real-time monitoring instruction is triggered according to the risk factor data to be monitored, a monitoring result corresponding to the real-time monitoring instruction is obtained, and the monitoring result is used as the on-site monitoring data.

[0021] By adopting the above technical solution, in order to improve the universality of the weather forecasts it issues, meteorological agencies usually only provide weather conditions in a larger area, so the weather forecast often deviates from the weather conditions in the local area; real-time meteorological data from on-site monitoring is obtained to obtain more accurate meteorological data than the weather forecast in the local area, which is also convenient for improving the timeliness of monitoring meteorological changes.

[0022] In a preferred example, the present application may be further configured as follows: the real-time acquisition of corresponding on-site monitoring data according to the risk factor data to be monitored also includes:

[0023] The risk factor level is obtained from the corresponding on-site monitoring data according to the risk event, and the risk factor level is sent to the administrator client.

[0024] By adopting the above technical solution, the risk factor level is determined for the risk events of the ongoing construction project based on the meteorological data obtained in real time, which is convenient for the subsequent matching of risk events and risk factor levels with accident data to evaluate the probability of accidents in the current construction project; the risk factor level is sent to the administrator client to facilitate the management personnel to determine the risk factor level based on the meteorological data of the weather forecast and the current construction project, so as to make decisions to change the construction plan as soon as possible and reduce losses caused by meteorological reasons.

[0025] In a preferred example, the present application can be further configured as follows:

[0026] The risk event list is matched with the historical construction quality safety accident information, and the safety measures that can be taken to reduce the probability of various accidents in the risk event list are obtained, and the safety cost of taking the safety measures and the probability of accidents after taking the safety measures are obtained, and the expected loss after taking the safety measures is obtained. If the sum of the expected loss after taking the safety measures and the safety cost is greater than the second preset threshold, a shutdown decision instruction is generated, and the second preset threshold includes a property loss threshold and a personnel loss threshold, which specifically includes:

[0027] Match the risk event list with historical construction quality safety accident information, obtain the safety measures that can be taken to reduce the probability of each type of accident in the risk event list, obtain the safety cost of taking the safety measures and the probability of accidents after taking the safety measures, and obtain the expected property loss and personnel loss after taking the safety measures;

[0028] The sum of the expected property loss and the safety cost after taking safety measures is compared with the property loss threshold, and the expected personnel loss after taking safety measures is compared with the personnel loss threshold. If the sum of the expected property loss and the safety cost after taking safety measures is greater than the property loss threshold, or the expected personnel loss after taking safety measures is greater than the personnel loss threshold, a shutdown decision instruction is generated.

[0029] By adopting the above technical solution, the property losses and personnel losses caused by construction quality and safety accidents are distinguished, and thresholds are set for the expected property losses and expected personnel losses of each type of accident respectively. Stricter comparison thresholds can be set for the expected personnel losses of each type of accident, thereby improving the safety of construction personnel. At the same time, it also solves the problem of difficulty in converting casualties and property losses caused by accidents and unifying the expected losses.

[0030] The second object of the invention is achieved by the following technical solutions:

[0031] An online risk management system for building construction quality and safety, including

[0032] An accident analysis module is used to obtain historical construction quality and safety accident information, obtain accident type data, accident cause data and accident loss data corresponding to each accident type from the historical construction quality and safety accident information, and calculate the accident occurrence probability corresponding to each accident type data according to the accident cause data;

[0033] A risk event analysis module, used to obtain the current construction project progress data, and obtain a risk event list from the current construction project progress data according to the accident type;

[0034] A risk factor monitoring module, used to obtain the risk factor data to be monitored according to the risk event list, and to obtain the corresponding on-site monitoring data in real time according to the risk factor data to be monitored;

[0035] The first risk event comparison module is used to match the risk event list and the corresponding on-site monitoring data with the historical construction quality and safety accident information, obtain the accident probability and accident loss of each type of accident in the risk event list, and obtain the expected loss of each type of accident; compare the expected loss with the first preset threshold, and if the expected loss is greater than the first preset threshold, generate whether to stop work decision information, wherein the whether to stop work decision information includes a stop work decision instruction;

[0036] The second risk event comparison module is used to match the risk event list with historical construction quality and safety accident information, obtain the safety measures that can be taken to reduce the probability of each type of accident in the risk event list, obtain the safety cost of taking the safety measures and the probability of accident after taking the safety measures, and obtain the expected loss after taking the safety measures. If the sum of the expected loss after taking the safety measures and the safety cost is greater than the second preset threshold, a stop work decision instruction is generated.

[0037] By adopting the above technical solution, historical construction quality and safety accident information is obtained, each construction quality and safety accident is recorded and analyzed, the causes of the accident and related risk factors can be summarized, the loss of the accident and the probability of occurrence can be evaluated, so that when the same risk factors are involved in the subsequent construction process, more favorable decisions can be made; a list of risk events of the current construction project is obtained, which is convenient for monitoring possible risks, so that corresponding safety measures can be taken in time when risk factors intervene to reduce the possibility of accidents; the corresponding on-site monitoring data is obtained in real time according to the risk factor data to be monitored, and the risk event list and the corresponding on-site monitoring data are matched with the historical construction quality and safety accident information, so as to obtain the probability of accidents and accident losses under the intervention of risk factors, and obtain the expected losses of accidents; in addition, from the analysis of historical construction quality and safety accident information, safety measures for reducing the probability of accidents can be obtained, and the safety costs and effects of taking corresponding safety measures can be obtained, so that management personnel can make decisions on whether to continue the current construction project based on the expected losses of accidents, the costs and effects of taking safety measures and the preset thresholds that can be tolerated; making decisions by calculating the expected losses reduces the possibility of errors caused by human judgment, reduces the reduction in construction efficiency caused by risk avoidance errors, and achieves the effect of scientific risk avoidance.

[0038] The third objective of the present application is achieved through the following technical solutions:

[0039] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned online risk management method for construction quality and safety when executing the computer program.

[0040] The fourth objective of the present application is achieved through the following technical solutions:

[0041] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned online risk management method for construction quality and safety.

[0042] In summary, the present application includes at least one of the following beneficial technical effects:

[0043] 1. By acquiring historical construction quality and safety accident information, classifying, assessing damages, and attributing accidents, a scientific accident analysis model is established. The analysis of historical construction quality and safety accident information can obtain the safety measures that can be taken to reduce the probability of accidents and the effects of these safety measures on reducing the probability of accidents. Scientific risk avoidance strategies are provided based on the matching of risk events and risk factors with historical construction quality and safety accident information to reduce losses caused by taking incorrect risk avoidance methods;

[0044] 2. By comparing the expected loss with the tolerable loss threshold, the decision on whether to stop work is made, which reduces the possibility of errors caused by human judgment;

[0045] 3. By acquiring and recording meteorological data and corresponding construction projects, a construction meteorological log can be obtained. The construction meteorological log can be used as a basis for statistically analyzing the correlation between construction quality and safety accidents and meteorological conditions, so as to improve the accuracy of probability analysis of accidents and expected losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a flow chart of an online risk management method for construction quality and safety in one embodiment of the present application;

[0047] Figure 2 This is a flowchart for implementing step S10 in the online risk management method for construction quality and safety in one embodiment of the present application;

[0048] Figure 3 This is a flowchart for implementing step S30 in the online risk management method for construction quality and safety in one embodiment of the present application;

[0049] Figure 4 This is another implementation flow chart of step S30 in the online risk management method for construction quality and safety in one embodiment of the present application;

[0050] Figure 5 This is a flowchart for implementing S50 in the online risk management method for construction quality and safety in one embodiment of the present application;

[0051] Figure 6 This is a principle block diagram of an online risk management system for construction quality and safety in one embodiment of the present application;

[0052] Figure 7 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0053] The present application is further described in detail below in conjunction with the accompanying drawings.

[0054] In one embodiment, if Figure 1 As shown, the present application discloses an online risk management method for construction quality and safety, which specifically includes the following steps:

[0055] S10: Obtain historical construction quality and safety accident information, obtain accident type data, accident cause data and accident loss data corresponding to each accident type from the historical construction quality and safety accident information, and calculate the accident occurrence probability corresponding to each accident type data based on the accident cause data.

[0056] In this embodiment, historical construction quality and safety accident information refers to information on construction quality and safety accidents that have occurred, recording information such as the date of the accident, the cause of the accident, the loss caused by the accident, the weather conditions at the time of the accident, and the presence of safety officers at the time of the accident.

[0057] Specifically, the probability of a certain type of accident is calculated by dividing the number of accidents of that type associated with a certain risk factor by the number of times that risk factor occurs. For example, the probability of an accident of falling objects caused by a typhoon is calculated by dividing the number of recorded falling objects on typhoon days by the number of recorded typhoon days.

[0058] Furthermore, the construction quality and safety accidents recorded in the historical construction quality and safety accident information include construction quality and safety accidents that occurred during the construction of the construction unit, and may also be construction quality and safety accidents introduced from the outside. That is, all construction quality and safety accidents can be counted through data sharing and other means.

[0059] S20: Acquire the current construction project progress data, and acquire a risk event list from the current construction project progress data according to the accident type.

[0060] In this embodiment, the construction project progress data refers to the construction steps currently in progress; the risk event list refers to a list that records the types of accidents that may currently occur. For example, if the construction project progress data records that a tower crane operation is currently in progress, the risk event list should record the types of accidents that may occur during the tower crane operation, such as tower crane collapse, boom collision, lightning strike, and object unhooking, to obtain the contents of the risk event list.

[0061] Specifically, the construction project progress data includes the ongoing construction steps, the equipment and materials required, etc., and is matched with the accident types recorded in the risk event list according to the value of the equipment and materials currently used in the construction, so as to assess the possible losses caused by the accident. For example, the risk event list records the tower crane collapse accident, which will cause damage to the tower crane equipment and collateral losses caused by the destruction of other property after the tower crane collapse. The average amount of collateral losses caused by a tower crane collapse incident can be obtained through statistics of historical construction quality and safety accident information. The accident loss of the tower crane collapse accident type is the sum of the value of the tower crane currently in use and the average amount of collateral losses caused by each tower crane collapse incident.

[0062] S30: Acquire the risk factor data to be monitored according to the risk event list, and acquire the corresponding on-site monitoring data in real time according to the risk factor data to be monitored.

[0063] In this embodiment, the risk factor data to be monitored refers to the corresponding risk factors that may increase the probability of risk events. The risk factor data to be monitored is monitored on-site in real time so as to continuously track the risk factors to be monitored and provide timely warnings for possible accidents.

[0064] Specifically, the data of risk factors to be monitored are generated based on the risk event list, the targets to be detected are determined based on the risk factor data to be monitored, and the corresponding on-site monitoring data are obtained based on the targets to be detected; for example, the risk event list records the collapse of a tower crane, collision of a crane arm, lightning strike, and unhooking of suspended objects. The data of risk factors to be monitored include the wind speed associated with the collapse of the tower crane, collision of a crane arm, and unhooking of suspended objects, the atmospheric visibility associated with the collision of a crane arm, and lightning associated with lightning strikes. The targets to be detected include wind speed, atmospheric visibility, and lightning warning, etc.

[0065] S40: Match the risk event list and the corresponding on-site monitoring data with the historical construction quality and safety accident information, obtain the accident probability and accident loss of each type of accident in the risk event list, and obtain the expected loss of each type of accident; compare the expected loss with the first preset threshold, if the expected loss is greater than the first preset threshold, generate whether to stop work decision information, the whether to stop work decision information includes a stop work decision instruction.

[0066] In this embodiment, the first preset threshold refers to the threshold of the acceptable expected loss from an accident set in advance by the construction unit in the online risk management system for construction quality and safety.

[0067] Specifically, the expected loss of each type of accident is the product of the probability of the accident and the accident loss when the accident occurs. If the expected loss is less than the first preset threshold, it is considered that the expected loss of the possible accident by the construction unit is acceptable, and a decision is made to continue construction; if the expected loss is greater than the first preset threshold, it is considered that the expected loss of the possible accident by the construction unit needs to be further evaluated before a decision can be made, and a decision is made to proceed to the next step of expected loss comparison;

[0068] Furthermore, the expected losses can be divided into expected property losses and expected personnel losses. By comparing the expected property losses and expected personnel losses with the corresponding preset loss thresholds and making decisions, a stricter comparison threshold can be set for the expected personnel losses of the accident, thereby improving the safety protection of construction workers.

[0069] S50: Match the risk event list with historical construction quality safety accident information, obtain the safety measures that can be taken to reduce the probability of each type of accident in the risk event list, obtain the safety cost of taking the safety measures and the probability of accident after taking the safety measures, and obtain the expected loss after taking the safety measures. If the sum of the expected loss after taking the safety measures and the safety cost is greater than the second preset threshold, generate a stop work decision instruction.

[0070] In this embodiment, the safety measures refer to measures that can be taken for risk events in the risk event list to reduce the probability of occurrence of the risk events, and the safety cost refers to the additional cost required to take the above safety measures.

[0071] Specifically, by matching the risk event list with historical construction quality and safety accident information, we can obtain safety measures that can be taken to reduce the probability of accidents. By analyzing which safety measures were taken when accidents occurred in the historical construction quality and safety accident information and which safety measures were not implemented, we can evaluate the effectiveness of various safety measures. By evaluating the effect of reducing the probability of risk events and the safety cost after taking safety measures, we can compare the expected loss after taking safety measures with the second preset threshold, and then make a decision on whether to stop work. By comparing the expected loss after taking safety measures with the second preset threshold, the factor of taking safety measures is taken into account, which has a better effect than directly comparing the expected loss with the first preset threshold, and can better reflect the scientific nature of risk avoidance decisions.

[0072] In this embodiment, historical construction quality and safety accident information is obtained, each construction quality and safety accident is recorded and analyzed, the causes of the accident and related risk factors can be summarized, the loss of the accident and the probability of occurrence can be evaluated, so that when the same risk factors are involved in the subsequent construction process, more favorable decisions can be made; a list of risk events of the current construction project is obtained, so that possible risks can be monitored, so that corresponding safety measures can be taken in time when risk factors intervene to reduce the possibility of accidents; the corresponding on-site monitoring data is obtained in real time according to the risk factor data to be monitored, and the risk event list and the corresponding on-site monitoring data are matched with the historical construction quality and safety accident information, so as to obtain the probability of accidents and the loss of accidents under the intervention of risk factors, and obtain the expected loss of accidents; in addition, safety measures for reducing the probability of accidents can be obtained from the analysis of historical construction quality and safety accident information, and the safety cost and effect of taking corresponding safety measures can be obtained, so that management personnel can make a decision on whether to continue the current construction project based on the expected loss of accidents, the cost and effect of taking safety measures and the preset threshold that can be tolerated; making decisions by calculating the expected loss reduces the possibility of errors caused by human judgment, reduces the reduction in construction efficiency caused by risk avoidance errors, and achieves the effect of scientific risk avoidance.

[0073] In one embodiment, if Figure 2 As shown, in step S10, it specifically includes:

[0074] S11: Acquire internal construction quality safety accident data and external quality safety accident data to form the historical construction quality safety accident information.

[0075] In this embodiment, internal construction quality and safety accidents refer to quality and safety accidents that have occurred in construction projects in which the construction unit has participated; external quality and safety accidents refer to construction quality and safety accident cases obtained from other channels.

[0076] Specifically, after a construction quality and safety accident occurs, an accident investigation report is obtained and each construction quality and safety accident is filed; external quality and safety accident data can come from typical construction quality and safety accident cases recorded on the Internet, or from construction quality and safety accidents recorded by other construction units; the introduction of external quality and safety accident data expands the data sample of the historical construction quality and safety accident information database in order to obtain more accurate statistical data, but because it is difficult to find reliable construction weather log information for externally introduced quality and safety accidents, it is difficult to make accurate calculations of the probability of accident occurrence. Therefore, external quality and safety accident data are only used to assess accident losses, and do not participate in the statistics of accident probability.

[0077] S12: Acquire accident investigation data from the historical construction safety accident information, and acquire accident cause data and accident loss data corresponding to each accident type from the accident investigation data.

[0078] In this embodiment, accident investigation data refers to data obtained based on the accident investigation report that records key information such as the time of the accident, the cause of the accident, the losses caused by the accident, the weather conditions at the time of the accident, the presence of safety officers at the time of the accident, which safety measures were taken and which safety measures were not implemented.

[0079] Specifically, the accident cause data records the cause of the accident. If multiple risk factors are involved when an accident occurs, the accident cause should record all the involved risk factors; accident loss data includes the repair and replacement costs of damaged construction equipment, rework costs caused by unqualified construction quality, medical expenses and compensation for personal injury, and other property losses and compensation caused by the accident.

[0080] S13: Acquire construction meteorological data from the risk factor monitoring module, and analyze the probability of various accident types occurring under various meteorological conditions based on the construction meteorological data.

[0081] In this embodiment, the risk factor monitoring module includes a meteorological monitoring submodule, which is used to obtain meteorological data, including meteorological data obtained from the scene in real time and weather forecast data from meteorological service agencies.

[0082] Specifically, construction meteorological data include various meteorological information such as wind speed, air visibility, rainfall, temperature, air pressure, and air humidity that may affect the quality and safety of construction. The probability of a certain type of accident is obtained by dividing the number of accidents of this type associated with a certain risk factor by the number of times the risk factor occurs. For example, by analyzing the causes of accidents of the falling objects accident type, it can be learned that meteorological conditions that may cause falling objects include typhoons. The probability of falling objects caused by typhoons can be obtained by dividing the number of falling objects caused by typhoons by the number of typhoons.

[0083] Furthermore, the number of occurrences of various meteorological conditions can be obtained through the construction meteorological log; when calculating the probability of an accident type, the number of times the risk factor occurs should be subtracted from the number of times the risk factor cannot cause that type of accident to occur before calculation. For example, when calculating the probability of a tower crane collapse caused by a typhoon, if the number of recorded typhoons is X, but the number of times no tower crane operations were performed on typhoon days is Y, then when calculating the probability of a tower crane collapse caused by a typhoon, the number of typhoons should be corrected to XY times.

[0084] In one embodiment, if Figure 3 As shown, in step S30, corresponding on-site monitoring data is acquired in real time according to the risk factor data to be monitored, specifically including:

[0085] S31: triggering a real-time monitoring instruction according to the risk factor data to be monitored, obtaining a monitoring result corresponding to the real-time monitoring instruction, and using the monitoring result as the on-site monitoring data.

[0086] Specifically, the real-time monitoring instructions are generated based on the data of the risk factors to be monitored, the targets to be detected are determined based on the data of the risk factors to be monitored, and the real-time monitoring instructions are triggered based on the targets to be detected; therefore, the meteorological monitoring submodule can update and process the risk factors to be monitored at a higher frequency according to the real-time monitoring instructions, and update and process the risk factors not to be monitored at a lower frequency or not process them, so as to give priority to the processor's performance in processing the risk factors to be monitored that are more correlated with risk events, and reduce the investment in processing risk factors that are less correlated with risk events.

[0087] Furthermore, regularly recording meteorological data of the entire construction process can be used to form a construction meteorological log. Since the probability of a certain type of accident is calculated by dividing the number of accidents of that type associated with a certain risk factor by the number of times that risk factor occurs, forming a construction meteorological log is convenient for counting the correlation between construction quality and safety accidents and meteorological conditions, so as to derive the probability of accidents for each construction project under certain meteorological conditions.

[0088] In one embodiment, if Figure 4 As shown, in step S30, after obtaining corresponding on-site monitoring data in real time according to the risk factor data to be monitored, the online risk management method for construction quality and safety further includes:

[0089] S32: Obtain risk factor levels from corresponding on-site monitoring data according to the risk events, and send the risk factor levels to the administrator client.

[0090] In this embodiment, the on-site monitoring data may also include on-site meteorological information detected by the meteorological monitoring submodule and weather forecasts issued by authoritative meteorological agencies that are received regularly.

[0091] Specifically, according to the risk event list and on-site monitoring data of the current or future construction projects, they are matched with the historical construction quality and safety accident information to obtain the probability of various types of accidents in the current or future construction projects and the accident losses when accidents occur, and the expected losses in the current or future period are obtained. The risk factor levels are divided according to the expected losses, and the risk factor levels in the current or future period are regularly sent to the administrator client; the meteorological monitoring submodule continuously rolls over the obtained weather forecast to obtain a more accurate weather forecast; although the weather forecast issued by the meteorological agency often deviates from the actual weather conditions in local areas, the authoritative meteorological agency has more meteorological monitoring stations and stronger meteorological forecasting capabilities, so the accuracy of the long-term weather forecast issued by the authoritative meteorological agency is better than the meteorological data monitored at the construction site. The weather forecast issued by the authoritative meteorological agency is used in conjunction with the meteorological data monitored at the construction site, and they are corrected to improve the accuracy of the weather forecast.

[0092] In one embodiment, if Figure 5 As shown, in step S50, the second preset threshold includes a property loss threshold and a personnel loss threshold, specifically including:

[0093] S51: Match the risk event list with historical construction quality safety accident information, obtain the safety measures that can be taken to reduce the probability of each type of accident in the risk event list, obtain the safety cost of taking the safety measures and the probability of accidents after taking the safety measures, and obtain the expected property loss and personnel loss after taking the safety measures.

[0094] Specifically, each accident in the historical construction quality and safety accident information is classified according to multiple standards such as the cause of the accident, the weather conditions at the time of the accident, the loss caused by the accident and the time of the accident, and a classification string for each accident is obtained; when it is necessary to match the risk event list with the historical construction quality and safety accident information, the accident classification string in the current risk event list is matched with the accident classification string in the historical construction quality and safety accident information database, so as to obtain the accident investigation data of similar accidents, and analyze and summarize the accident investigation data of similar accidents to obtain information such as which safety measures have been taken for similar accidents and which safety measures have not been implemented; the loss expectation after taking safety measures is compared with the preset threshold, taking into account the safety measures that can be taken, and the expected loss of risk events can be more comprehensively evaluated, so as to make more scientific risk avoidance decisions.

[0095] S52: Compare the sum of the expected property loss and the safety cost after taking safety measures with the property loss threshold, and compare the expected personnel loss after taking safety measures with the personnel loss threshold. If the sum of the expected property loss and the safety cost after taking safety measures is greater than the property loss threshold, or the expected personnel loss after taking safety measures is greater than the personnel loss threshold, generate a shutdown decision instruction.

[0096] In this embodiment, the second preset threshold includes a property loss threshold and a personnel loss threshold, and the property loss threshold and the personnel loss threshold are used to compare with the expected property loss and the expected personnel loss, respectively.

[0097] Specifically, the property loss threshold and the personnel loss threshold can be set separately, and the loss expectations and comparisons of property loss and personnel loss can be calculated separately, so as to set stricter comparison thresholds for the expected personnel losses of various types of accidents, thereby improving the safety protection of construction personnel. At the same time, it solves the problem of difficulty in converting casualties and property losses caused by accidents and unifying the expected losses.

[0098] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0099] In one embodiment, an online risk management system for construction quality and safety is provided, and the online risk management system for construction quality and safety corresponds one-to-one to the online risk management method for construction quality and safety in the above-mentioned embodiment.

[0100] like Figure 6As shown, the online risk management system for construction quality and safety includes an accident analysis module, a risk event analysis module, a risk factor monitoring module, a first risk event comparison module, and a second risk event comparison module. The functional modules are described in detail as follows:

[0101] The accident analysis module is used to obtain historical construction quality and safety accident information, obtain accident type data, accident cause data and accident loss data corresponding to each accident type from the historical construction quality and safety accident information, and calculate the accident occurrence probability corresponding to each accident type data based on the accident cause data.

[0102] The risk event analysis module is used to obtain the current construction project progress data and obtain a risk event list from the current construction project progress data according to the accident type.

[0103] The risk factor monitoring module is used to obtain the risk factor data to be monitored according to the risk event list, and to obtain the corresponding on-site monitoring data in real time according to the risk factor data to be monitored.

[0104] The first risk event comparison module is used to match the risk event list and the corresponding on-site monitoring data with the historical construction quality and safety accident information, obtain the accident probability and accident loss of each type of accident in the risk event list, and obtain the expected loss of each type of accident; compare the expected loss with the first preset threshold, if the expected loss is greater than the first preset threshold, generate whether to stop work decision information, wherein the whether to stop work decision information includes a stop work decision instruction.

[0105] The second risk event comparison module is used to match the risk event list with historical construction quality and safety accident information, obtain the safety measures that can be taken to reduce the probability of each type of accident in the risk event list, obtain the safety cost of taking the safety measures and the probability of accident after taking the safety measures, and obtain the expected loss after taking the safety measures. If the sum of the expected loss after taking the safety measures and the safety cost is greater than the second preset threshold, a stop work decision instruction is generated.

[0106] Optional, accident analysis module includes:

[0107] The accident storage submodule is used to obtain internal construction quality and safety accident data and external quality and safety accident data to form the historical construction quality and safety accident information.

[0108] The accident investigation submodule is used to obtain accident investigation data from the historical construction safety accident information, and to obtain accident cause data and accident loss data corresponding to each accident type from the accident investigation data.

[0109] The accident probability analysis submodule is used to obtain the construction meteorological data from the risk factor monitoring module, and analyze the probability of various accident types occurring under various meteorological conditions based on the construction meteorological data.

[0110] Optional risk factor monitoring modules include:

[0111] The meteorological monitoring submodule is used to trigger a real-time monitoring instruction according to the risk factor data to be monitored, obtain a monitoring result corresponding to the real-time monitoring instruction, and use the monitoring result as the on-site monitoring data.

[0112] For the specific definition of the online risk management system for construction quality and safety, please refer to the definition of the online risk management method for construction quality and safety mentioned above, which will not be repeated here. Each module in the above-mentioned online risk management system for construction quality and safety can be implemented in whole or in part through software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0113] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store accident type data, accident cause data, accident loss data, construction project progress data, risk factor data to be monitored, on-site monitoring data, internal construction quality and safety accident data, external quality and safety accident data, accident investigation data, construction meteorological data, meteorological information, historical construction quality and safety accident information and whether to stop work decision information. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for online risk management of construction quality and safety is implemented.

[0114] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0115] S10: Obtain historical construction quality and safety accident information, obtain accident type data, accident cause data and accident loss data corresponding to each accident type from the historical construction quality and safety accident information, and calculate the accident occurrence probability corresponding to each accident type data based on the accident cause data.

[0116] S20: Acquire the current construction project progress data, and acquire a risk event list from the current construction project progress data according to the accident type.

[0117] S30: Acquire the risk factor data to be monitored according to the risk event list, and acquire the corresponding on-site monitoring data in real time according to the risk factor data to be monitored.

[0118] S40: Match the risk event list and the corresponding on-site monitoring data with the historical construction quality and safety accident information, obtain the accident probability and accident loss of each type of accident in the risk event list, and obtain the expected loss of each type of accident; compare the expected loss with the first preset threshold, if the expected loss is greater than the first preset threshold, generate whether to stop work decision information, wherein the whether to stop work decision information includes a stop work decision instruction.

[0119] S50: Match the risk event list with historical construction quality safety accident information, obtain the safety measures that can be taken to reduce the probability of each type of accident in the risk event list, obtain the safety cost of taking the safety measures and the probability of accident after taking the safety measures, and obtain the expected loss after taking the safety measures. If the sum of the expected loss after taking the safety measures and the safety cost is greater than the second preset threshold, generate a stop work decision instruction.

[0120] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0121] S10: Obtain historical construction quality and safety accident information, obtain accident type data, accident cause data and accident loss data corresponding to each accident type from the historical construction quality and safety accident information, and calculate the accident occurrence probability corresponding to each accident type data based on the accident cause data.

[0122] S20: Acquire the current construction project progress data, and acquire a risk event list from the current construction project progress data according to the accident type.

[0123] S30: Acquire the risk factor data to be monitored according to the risk event list, and acquire the corresponding on-site monitoring data in real time according to the risk factor data to be monitored.

[0124] S40: Match the risk event list and the corresponding on-site monitoring data with the historical construction quality and safety accident information, obtain the accident probability and accident loss of each type of accident in the risk event list, and obtain the expected loss of each type of accident; compare the expected loss with the first preset threshold, if the expected loss is greater than the first preset threshold, generate whether to stop work decision information, wherein the whether to stop work decision information includes a stop work decision instruction.

[0125] S50: Match the risk event list with historical construction quality safety accident information, obtain the safety measures that can be taken to reduce the probability of each type of accident in the risk event list, obtain the safety cost of taking the safety measures and the probability of accident after taking the safety measures, and obtain the expected loss after taking the safety measures. If the sum of the expected loss after taking the safety measures and the safety cost is greater than the second preset threshold, generate a stop work decision instruction.

[0126] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0127] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0128] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for online risk management of construction quality and safety, characterized in that: The steps of the online risk management method for construction quality and safety include: Obtaining historical construction quality and safety accident information, obtaining accident type data, accident cause data and accident loss data corresponding to each accident type from the historical construction quality and safety accident information, and calculating the probability of an accident corresponding to each accident type data according to the accident cause data; Acquire the current construction project progress data, and acquire a risk event list from the current construction project progress data according to the accident type; Acquire the risk factor data to be monitored according to the risk event list, and acquire the corresponding on-site monitoring data in real time according to the risk factor data to be monitored; Match the risk event list and the corresponding on-site monitoring data with the historical construction quality and safety accident information, obtain the accident probability and accident loss of each type of accident in the risk event list, and obtain the expected loss of each type of accident; compare the expected loss with the first preset threshold, and if the expected loss is greater than the first preset threshold, generate whether to stop work decision information, wherein the whether to stop work decision information includes a stop work decision instruction; Match the risk event list with historical construction quality safety accident information, obtain safety measures that can be taken to reduce the probability of various accidents in the risk event list, obtain the safety cost of taking the safety measures and the probability of accidents after taking the safety measures, and obtain the expected loss after taking the safety measures. If the sum of the expected loss after taking the safety measures and the safety cost is greater than a second preset threshold, generate a stop decision instruction; The risk event list is matched with the historical construction quality safety accident information, and the safety measures that can be taken to reduce the probability of various accidents in the risk event list are obtained, and the safety cost of taking the safety measures and the probability of accidents after taking the safety measures are obtained, and the expected loss after taking the safety measures is obtained. If the sum of the expected loss after taking the safety measures and the safety cost is greater than the second preset threshold, a shutdown decision instruction is generated, and the second preset threshold includes a property loss threshold and a personnel loss threshold, which specifically includes: Match the risk event list with historical construction quality safety accident information, obtain the safety measures that can be taken to reduce the probability of each type of accident in the risk event list, obtain the safety cost of taking the safety measures and the probability of accidents after taking the safety measures, and obtain the expected property loss and personnel loss after taking the safety measures; The sum of the expected property loss and the safety cost after taking safety measures is compared with the property loss threshold, and the expected personnel loss after taking safety measures is compared with the personnel loss threshold. If the sum of the expected property loss and the safety cost after taking safety measures is greater than the property loss threshold, or the expected personnel loss after taking safety measures is greater than the personnel loss threshold, a shutdown decision instruction is generated.

2. The online risk management method for construction quality and safety according to claim 1 is characterized in that: The obtaining of historical construction quality and safety accident information, obtaining accident type data, accident cause data and accident loss data corresponding to each accident type from the historical construction quality and safety accident information, and calculating the accident occurrence probability corresponding to each accident type data according to the accident cause data, specifically includes: Acquire internal construction quality safety accident data and external quality safety accident data to form the historical construction quality safety accident information; Acquire accident investigation data from the historical construction safety accident information, and acquire accident cause data and accident loss data corresponding to each accident type from the accident investigation data; The construction meteorological data is obtained from the risk factor monitoring module, and the probability of occurrence of various accident types under various meteorological conditions is analyzed based on the construction meteorological data.

3. The online risk management method for construction quality and safety according to claim 1 is characterized in that: The step of acquiring corresponding on-site monitoring data in real time according to the risk factor data to be monitored specifically includes: A real-time monitoring instruction is triggered according to the risk factor data to be monitored, a monitoring result corresponding to the real-time monitoring instruction is obtained, and the monitoring result is used as the on-site monitoring data.

4. The online risk management method for construction quality and safety according to claim 1 is characterized in that: After acquiring the corresponding on-site monitoring data in real time according to the risk factor data to be monitored, the online risk management method for construction quality and safety further includes: The risk factor level is obtained from the corresponding on-site monitoring data according to the risk event, and the risk factor level is sent to the administrator client.

5. An online risk management system for construction quality and safety, characterized in that: The online risk management system for construction quality and safety includes: An accident analysis module is used to obtain historical construction quality and safety accident information, obtain accident type data, accident cause data and accident loss data corresponding to each accident type from the historical construction quality and safety accident information, and calculate the accident occurrence probability corresponding to each accident type data according to the accident cause data; A risk event analysis module, used to obtain the current construction project progress data, and obtain a risk event list from the current construction project progress data according to the accident type; A risk factor monitoring module, used to obtain the risk factor data to be monitored according to the risk event list, and to obtain the corresponding on-site monitoring data in real time according to the risk factor data to be monitored; The first risk event comparison module is used to match the risk event list and the corresponding on-site monitoring data with the historical construction quality and safety accident information, obtain the accident probability and accident loss of each type of accident in the risk event list, and obtain the expected loss of each type of accident; compare the expected loss with the first preset threshold, and if the expected loss is greater than the first preset threshold, generate whether to stop work decision information, wherein the whether to stop work decision information includes a stop work decision instruction; The second risk event comparison module is used to match the risk event list with the historical construction quality safety accident information, obtain the safety measures that can be taken to reduce the probability of occurrence of various accidents in the risk event list, obtain the safety cost of taking the safety measures and the probability of accident occurrence after taking the safety measures, and obtain the expected loss after taking the safety measures. If the sum of the expected loss after taking the safety measures and the safety cost is greater than the second preset threshold, a shutdown decision instruction is generated; The risk event list is matched with the historical construction quality safety accident information, and the safety measures that can be taken to reduce the probability of various accidents in the risk event list are obtained, and the safety cost of taking the safety measures and the probability of accidents after taking the safety measures are obtained, and the expected loss after taking the safety measures is obtained. If the sum of the expected loss after taking the safety measures and the safety cost is greater than the second preset threshold, a shutdown decision instruction is generated, and the second preset threshold includes a property loss threshold and a personnel loss threshold, which specifically includes: Match the risk event list with historical construction quality safety accident information, obtain the safety measures that can be taken to reduce the probability of each type of accident in the risk event list, obtain the safety cost of taking the safety measures and the probability of accidents after taking the safety measures, and obtain the expected property loss and personnel loss after taking the safety measures; The sum of the expected property loss and the safety cost after taking safety measures is compared with the property loss threshold, and the expected personnel loss after taking safety measures is compared with the personnel loss threshold. If the sum of the expected property loss and the safety cost after taking safety measures is greater than the property loss threshold, or the expected personnel loss after taking safety measures is greater than the personnel loss threshold, a shutdown decision instruction is generated.

6. The online risk management system for construction quality and safety according to claim 5 is characterized in that: The accident storage submodule is used to obtain internal construction quality safety accident data and external quality safety accident data to form the historical construction quality safety accident information; An accident investigation submodule, used to obtain accident investigation data from the historical construction safety accident information, and to obtain accident cause data and accident loss data corresponding to each accident type from the accident investigation data; The accident probability analysis submodule is used to obtain the construction meteorological data from the risk factor monitoring module, and analyze the probability of various accident types occurring under various meteorological conditions based on the construction meteorological data.

7. The online risk management system for construction quality and safety according to claim 5 is characterized in that: The meteorological monitoring submodule is used to trigger a real-time monitoring instruction according to the risk factor data to be monitored, obtain a monitoring result corresponding to the real-time monitoring instruction, and use the monitoring result as the on-site monitoring data.

8. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the online risk management method for construction quality and safety as described in any one of claims 1 to 4 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the online risk management method for construction quality and safety as described in any one of claims 1 to 4 are implemented.

Images