CN112561183A - Engineering quality safety supervision risk assessment method and system, electronic equipment and storage medium - Google Patents
Engineering quality safety supervision risk assessment method and system, electronic equipment and storage medium Download PDFInfo
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Abstract
The application relates to a method, a system, electronic equipment and a storage medium for assessing engineering quality safety supervision risk, which comprises the steps of sending a wake-up instruction to monitoring equipment within fixed monitoring time, and monitoring the monitoring equipment in real time; if the real-time information of the monitoring equipment is received within the preset time, combining the weather information of the day, calculating an average risk predicted value according to a preset rule, matching the average risk predicted value with preset risk threshold intervals of all levels, and evaluating risk levels; and judging the feasibility of the construction in the same day according to the risk grade, generating a risk list and corresponding preventive measures according to the construction type in the same day, and forming a risk report to be sent to a user terminal. The problem of how to utilize risk assessment to realize the constructor safety control is solved, this application has the effect that can predict the risk in real time and utilize risk assessment data real-time suggestion constructor to pay attention to the safety thereby improves constructor operation security.
Description
Technical Field
The application relates to the technical field of risk management of constructional engineering, in particular to a method and a system for evaluating engineering quality safety supervision risk, electronic equipment and a storage medium.
Background
Identification of hazards is an important part of safety risk assessment, along with the development of economy in China and the promotion of urbanization policies, the building engineering industry in China is developed vigorously, quality safety is an important foundation for guaranteeing the life safety of people and the smooth construction progress, once quality accidents occur, the construction progress is influenced slightly, engineering hidden dangers are left or the service life of a building is shortened, even the building collapses, casualties and huge economic losses are caused, and therefore quality safety risks and safety problems in construction engineering are paid extensive attention.
When large-scale building engineering is carried out, a supervisor needs to carry out risk assessment on the surrounding environment of a building area, meanwhile, the supervisor also needs to carry out periodic risk assessment according to the construction progress in the construction process, identify a relatively important hazard source and monitor the hazard source in real time by utilizing monitoring equipment so as to prevent major accidents from occurring in the building process.
However, there is a lack of a method between a proctoring unit and a construction unit for safety management of the construction unit by using risk assessment. Therefore, how to realize the intercommunication of the engineering quality safety risk assessment information between the supervision party and the construction party, realize the informatization of the risk assessment information, and prevent the occurrence of the risk in real time, so as to improve the construction safety of the construction party becomes a technical problem to be solved at present.
Disclosure of Invention
The engineering quality safety supervision risk assessment system has the advantages that risk assessment data are utilized to prompt constructors to pay attention to safety in real time, and therefore operation safety of the constructors is improved.
In a first aspect, the present application provides an engineering quality safety supervision risk assessment system, which adopts the following technical scheme:
an engineering quality safety supervision risk assessment system comprising:
sending a wake-up instruction to the monitoring equipment within a fixed monitoring time, and monitoring the monitoring equipment in real time;
if the real-time information of the monitoring equipment is received within the preset time, combining the weather information of the day, calculating an average risk predicted value according to a preset rule, matching the average risk predicted value with preset risk threshold intervals of all levels, and evaluating risk levels;
and judging the feasibility of the construction in the same day according to the risk grade, generating a risk list and corresponding preventive measures according to the construction type in the same day, and forming a risk report to be sent to a user terminal.
By adopting the technical scheme, the cloud server is arranged at the fixed monitoring time and starts to send the awakening instruction to the monitoring equipment, the monitoring equipment real-time information is obtained, the on-day weather information is also obtained, the monitoring equipment real-time information and the on-day weather information are calculated out by the preset rule to obtain the average risk predicted value, the average risk predicted value is matched with the preset risk threshold intervals of all levels, so as to obtain the risk level, the feasibility of the on-day construction is judged according to the risk level, a risk list and preventive measures are generated according to the on-day construction type, a risk report is formed and sent to the construction user end, the engineering quality safety risk assessment information intercommunication between the supervision unit and the construction unit is realized, and the cloud server can carry out risk assessment and obtain the risk report by obtaining the data of the monitoring equipment before working every day, whether the constructor can be suitable for construction on the same day or not is prompted, the constructor needs to be informed of risks needing attention in the same day operation, and more visual impact feeling can be brought to the constructor by utilizing data of the risk report, so that safety awareness of the constructor is improved.
The present application may be further configured in a preferred example to: sending a wake-up instruction to the monitoring device within a fixed monitoring time, and after monitoring the monitoring device in real time, the method comprises the following steps:
if the real-time information of the monitoring equipment is not received within the preset time, repeating the preset times to send the awakening signal to the monitoring equipment;
and if the real-time information of the monitoring equipment is not received within the repeated preset times, sending an equipment abnormal signal to the user side.
By adopting the technical scheme, if the real-time information of the monitoring equipment is not received all the time and the preset times are repeated, the real-time information of the monitoring equipment is not received, the fact that the real-time information of the monitoring equipment is in an abnormal state is proved, repair and inspection are needed, and the fault tolerance of interaction between the cloud server and the monitoring equipment is enhanced due to the fact that the preset times are repeated for many times.
The present application may be further configured in a preferred example to: if real-time information of the monitoring equipment is received within the preset time, combining the weather information of the day, calculating an average risk prediction value according to a preset rule, matching the average risk prediction value with preset risk threshold intervals of all levels, and dividing risk levels, the method further comprises the following steps:
if real-time information of the monitoring equipment is received within preset time, installation address information of the relevant monitoring equipment is extracted from a database and is sent to a weather information network to acquire weather information of the day;
the method comprises the steps that an accident evolution model which is related to real-time information of monitoring equipment and the monitoring equipment is evolved to obtain a first probability, meanwhile, weather information of the same day and the current construction type are matched with a historical accident statistical probability analysis table to obtain an accident probability, and the first probability and the accident probability are synthesized to obtain an average risk prediction value;
and matching the average risk predicted value with preset risk threshold intervals of all levels, and evaluating the risk level.
By adopting the technical scheme, the set first probability is the accident probability of the cloud server for predicting the real-time information of the monitoring equipment, the set accident probability is the accident probability of the cloud server for predicting the weather information of the same day, more risk factors are increased by the fusion of the cloud server and the weather information of the same day, the accuracy of the average risk prediction value is improved, and therefore safety management of construction personnel can be enhanced.
The present application may be further configured in a preferred example to: further comprising:
when the construction feasibility is normal construction, the risk report is sent to a user side, the state of the monitoring equipment is kept monitored in real time, the real-time information of the monitoring equipment is received from the monitoring equipment within preset interval time, and the real-time information of the monitoring equipment is compared with a set reference value;
and when the real-time information value of the monitoring equipment is larger than the set reference value, sending a danger prediction alarm to the user end.
By adopting the technical scheme, when the construction can be normally performed, the real-time monitoring can be performed on the hazard source by keeping the state of the real-time monitoring equipment, the safety of constructors in the construction process is ensured, and if the real-time information value of the monitoring equipment is greater than the set value, a danger prediction alarm is sent to the constructors, so that the protection of the constructors is enhanced.
The present application may be further configured in a preferred example to: further comprising:
and when the construction feasibility is non-constructable, sending the risk report to the user side, and then sending a dormancy signal to the monitoring equipment.
By adopting the technical scheme, when the construction feasibility is non-constructible, the power consumption of the monitoring equipment is reduced and the service life of the monitoring equipment is prolonged through the dormant monitoring equipment.
In a second aspect, the present application provides an engineering quality safety supervision risk assessment system, which adopts the following technical scheme:
an engineering quality safety supervision risk assessment system comprising:
a monitoring module: the system comprises a monitoring device and a control device, wherein the monitoring device is used for sending a wake-up instruction to the monitoring device within a fixed monitoring time and monitoring the monitoring device in real time;
an evaluation module: if the real-time information of the monitoring equipment is received within the preset time, combining the weather information of the day, calculating an average risk predicted value according to a preset rule, matching the average risk predicted value with preset risk threshold intervals of all levels, and evaluating risk levels;
a sending module: and the system is used for judging the feasibility of the construction in the same day according to the risk grade, generating a risk list and corresponding preventive measures according to the construction type in the same day, and forming a risk report to be sent to the user terminal.
The present application may be further configured in a preferred example to: the evaluation module further comprises:
an acquisition unit: if real-time information of the monitoring equipment is received within preset time, installation address information of the relevant monitoring equipment is extracted from a database and is sent to a weather information network to acquire weather information of the day;
an analysis unit: the accident evolution model is used for evolving real-time information of the monitoring equipment and the accident evolution model related to the monitoring equipment to obtain a first probability, matching the weather information and the current construction type of the current day with the historical accident statistical probability analysis table to obtain an accident probability, and synthesizing the first probability and the accident probability to obtain an average risk prediction value;
a matching unit: and the risk assessment module is used for matching the average risk predicted value with preset risk threshold intervals of all levels and assessing the risk level.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic 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 engineering quality safety supervision risk assessment method when executing the computer program.
In a fourth aspect, the present application provides a computer storage medium, where the following technical solutions:
a computer-readable storage medium, storing a computer program which, when executed by a processor, implements the steps of the above-described method for assessing risk of engineering quality safety supervision.
In summary, the present application includes at least one of the following beneficial technical effects:
the cloud server can obtain real-time information of the monitoring equipment in fixed monitoring time, simultaneously obtain meteorological information of the same day, calculate an average risk predicted value by the real-time information of the monitoring equipment and the meteorological information of the same day through a preset rule, further match the average risk predicted value with preset risk threshold value intervals of all levels, evaluate the risk level, judge the feasibility of construction of the same day according to the risk level, and then send a risk report formed by a risk list and preventive measures to a construction user end, so that the information intercommunication of engineering quality safety risk evaluation between a supervision unit and a construction unit is realized, a constructor can obtain a risk report from the cloud server before working to prompt the constructor of risks and preventive measures needing to be noticed, and meanwhile, the data form of the risk report brings more visual impact feeling to the constructor, thereby improving the safety awareness of the constructors.
Drawings
Fig. 1 is a flowchart of a risk assessment method for engineering quality safety supervision according to an embodiment of the present application.
Fig. 2 is a flowchart illustrating the substep of step S2 according to an embodiment of the present application.
Fig. 3 is a flowchart of a risk assessment method for engineering quality safety supervision according to another embodiment of the present application.
Fig. 4 is a block diagram of an engineering quality safety supervision risk assessment system according to an embodiment of the present application.
Fig. 5 is a schematic block diagram of an electronic device according to an embodiment of the present application.
In the figure, 1, a monitoring module, 2, an evaluation module, 3, a sending module, 20, an obtaining unit, 21, an analysis unit, 22 and a matching unit 22.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
Before planning a building, a supervision unit needs to carry out risk assessment on the surrounding environment, quantitative risk evaluation can be carried out on some major danger source areas by using CASTS-QRA software, acceptable risk areas are analyzed according to risk standards, the building land is planned again, and meanwhile different preventive measures are taken according to different danger sources.
In the construction process, a building project can be divided into a plurality of construction processes, when the construction progress enters a new stage, a supervision unit needs to carry out risk assessment on a construction site, find out all dangerous sources needing attention and monitor the dangerous sources in real time by using monitoring equipment so as to reduce accidents. Because the construction unit is the main body threatened by the construction safety accident in the construction process, the supervision unit protects the safety of constructors, the engineering quality safety is required to be controlled all the time, and the safety management work of the construction is well done, so the data of a danger source in the construction process is required to be monitored all the time, and a danger signal which can occur is transmitted to the constructors in time, the attention safety of the constructors is reminded all the time, and in the era of network informatization, a method for taking the safety management work of the supervision unit as a reinforcing agent is required so as to improve the safety of the constructors in the construction process.
The embodiment of the application discloses an engineering quality safety supervision risk assessment method, wherein the engineering quality safety supervision risk assessment method is based on the following pre-processed steps:
the cloud server of the supervision unit contains a management system for the engineering project, and different project basic information and construction team user terminal information are stored in the management system, so that the supervision unit can conveniently perform safety management and supervision on the engineering project and personnel thereof.
The cloud server is also internally stored with a building historical accident library, data is updated every year, historical accident data in the building historical accident library can be used as sample data for constructing an accident evolution model, when the historical accident data in the building historical accident library is enough, machine learning can be adopted, such as a neural network and a Bayesian network method, to generate the accident evolution model, and the purpose is to predict the accident types and the occurrence probability of the danger source which can possibly occur in different states, and the specific machine learning process is as follows: firstly, historical accident data are obtained, and the historical accident data are classified according to dangerous sources corresponding to historical accidents; and learning the classified historical accident data through machine learning to generate an accident evolution model corresponding to each type of hazard source. When the historical accident data is insufficient, an accident evolution model can be initially established by adopting an expert knowledge method, and then the accident evolution model is continuously modified by adopting the historical accident data. In this embodiment, there are 7 types of major hazard sources based on the building industry, which are summarized as high fall, object strike, mechanical injury, electric shock, collapse, poisoning and fire, and the accident evolution model includes a foundation pit collapse model, a ballast weight collapse model, a building deformation and settlement model, a crane model and the like according to the 7 types of major hazard sources and according to different construction processes, and before using the monitoring device, the monitoring device needs to be selected and associated with the corresponding accident evolution model according to the actual construction progress condition.
In addition, because the influence of geographical climate factors on the construction process of the building is not easy to peep, in order to increase the safety management of constructors, probability analysis tables of accidents caused by different climate factors are statistically stored in a historical accident bank.
Referring to fig. 1, a method for assessing engineering quality safety supervision risk specifically includes:
and S1, sending a wake-up instruction to the monitoring equipment within a fixed monitoring time, and monitoring the monitoring equipment in real time.
Specifically, the monitoring facilities who chooses for use to different hazard also have the difference, for example, detect that building body deformation subsides and can choose for use the total powerstation to monitor, can choose for use the spirit level to monitor to weighing body, install the wifi module on monitoring facilities to carry out data interaction with cloud ware. In addition, the set fixed monitoring time can be set according to the working time of the construction team, and is preferably set to 8 points when the working time of the day is earlier by one hour, for example, the working time is 9 points.
And S2, if real-time information of the monitoring equipment is received within the preset time, combining the weather information of the day, calculating an average risk predicted value according to a preset rule, matching the average risk predicted value with preset risk threshold intervals of all levels, and evaluating the risk level.
Specifically, the preset time can be set according to an actual situation, after the wake-up instruction is sent, the cloud server starts countdown, and the countdown is realized on the timer, for example, the countdown is realized by comparing the time counted from zero with the preset time every second by the computer device until the time of the timer is consistent with the preset time, and the process of counting down to zero with the preset time is completed.
In addition, the cloud server system contains the label information of the monitoring equipment, the label information has uniqueness, when the monitoring equipment is used, a supervision unit needs to register the information of the monitoring equipment, the information comprises registered installation address information, the installation address information of the monitoring equipment is acquired in a database after the real-time information of the monitoring equipment is received within preset time, the weather information of the current day is acquired from a weather information network, the weather information of the current day and the real-time information of the monitoring equipment are calculated according to preset rules to obtain an average risk predicted value, a risk threshold table is set in cloud service, each level of risk threshold intervals are arranged in the risk threshold table, and the average risk predicted value is matched with each level of risk threshold intervals, so that risk levels are obtained through evaluation.
Further, referring to fig. 2, in one embodiment, step S2 is further refined into the following sub-steps:
s201, if the real-time information of the monitoring equipment is received within the preset time, the installation address information of the relevant monitoring equipment is extracted from the database and is sent to a weather information network to obtain the weather information of the day.
Specifically, after the installation address information of the equipment is acquired in the cloud server system, the address information is sent to a weather information network to acquire weather information of the day, wherein the weather information comprises weather conditions, air quality indexes, temperature, humidity and the like.
S202, evolving an accident evolution model related to real-time information of the monitoring equipment and the monitoring equipment to obtain a first probability, matching weather information of the current day and the current construction type with a historical accident statistical probability analysis table to obtain an accident probability, and synthesizing the first probability and the accident probability to obtain an average risk prediction value.
Specifically, after the real-time information of the monitoring equipment is acquired, the real-time measurement parameters of the equipment in the real-time information of the monitoring equipment are input into an accident evolution model to evolve to obtain a first probability, for example, the distance of a building body measuring line measured in a total station is 4.90m compared with a ground reference line, the deviation is-0.1 m compared with a normal numerical value, a deviation value is screened and input into the accident evolution model to evolve to calculate the first probability, the acquired weather information on the same day is screened to extract required information, project information is extracted from data to obtain the construction type of a current construction unit, and the screened weather information, the construction type and a historical accident statistical probability analysis table are subjected to index matching to obtain the accident probability.
The estimation process of the average risk prediction value is as follows, the first probability and the accident probability are both divided into 100 parts, and since the weight proportion of the first probability and the accident probability is different, for example, the weight of the first probability occupies 65%, and the weight of the accident probability occupies 35%, the first probability and the accident probability need to be multiplied by the weight proportion thereof, and then added to obtain the average risk prediction value, however, if the first probability or the accident probability exceeds 60 parts, the highest score of the two is taken as the average risk prediction value, so as to ensure that the risk probability of one of the two is too high, and then a timely risk alarm can be given to the constructor.
And S203, matching the average risk prediction value with preset risk threshold intervals of all levels, and evaluating the risk level.
Specifically, in this embodiment, each preset risk threshold interval of each level is divided into 5 probability intervals, which respectively correspond to 5 risk levels, wherein 0 to 20 grades represent that the risk is lowest, 20 to 40 grades represent that the risk is lower, 40 to 60 grades represent that the risk is common by 3, 60 to 80 grades represent that the risk is higher, 80 grades to 100 grades represent that the risk is highest, and the current risk level can be evaluated by adapting the average risk prediction value to the number of the risk threshold intervals of each level.
Further, referring to fig. 1, the following steps are added after step S2:
and S21, judging the feasibility of the construction in the same day according to the risk grade, generating a risk list and corresponding preventive measures according to the construction type in the same day, and forming a risk report to be sent to a user terminal.
Specifically, the construction feasibility of the day is judged according to the risk level, wherein, regarding the definition of the construction feasibility, in this embodiment, if the evaluation level is level 3, level 4 or level 5, it is judged that the construction is normal, and if the evaluation level is level 2 or level 1, it is judged that the construction is not possible, and then the supervision unit is notified to the site for observation, and a risk prevention control decision is made in time.
In the embodiment, the cloud server combines the construction feasibility, the risk evaluation level, the real-time information of the monitoring equipment and the weather information of the day to form a risk list, acquires the construction type of the day in the project management system according to the information of the current construction unit, wherein the construction type mainly comprises foundation pit engineering, steel bar engineering, template supporting engineering, concrete engineering and the like, analyzes equipment to be worn and safety information to be noticed according to the construction type of the day, generates a total preventive measure according to the preventive measure corresponding to the risk list, forms a risk report together and sends the risk report to the construction user end, and prompts the attention safety of constructors all the time.
The user side receives the cloud server information through conventional electronic equipment, and interacts with the cloud server, wherein the conventional electronic equipment comprises a portable computer, an electronic computer, a mobile phone and the like.
Referring to fig. 3, further, after step S1, the following steps are added:
and S3, if the real-time information of the monitoring equipment is not received in the preset time, repeating the preset times and sending the awakening signal to the monitoring equipment.
Specifically, if the real-time information of the monitoring device is not received within the predetermined time, the wake-up signal is repeatedly sent to the monitoring device again, in this embodiment, the set number of times is 4, which may increase the fault tolerance of the system.
And S30, if the real-time information of the monitoring equipment is not received within the repeated preset times, sending an equipment abnormal signal to the user side.
Specifically, if the monitoring equipment real-time information can not be received for more than 4 times, the abnormal signal of the monitoring equipment is sent to the construction user side, meanwhile, the abnormal signal of the monitoring equipment also needs to be sent to a supervision unit, and the supervision unit can repair and inspect the monitoring equipment conveniently.
Further, referring to fig. 3, the additional steps after step 21 are:
and S22, when the construction feasibility is normal construction, sending the risk report to the user side, then keeping the state of the monitoring equipment for real-time monitoring, receiving the real-time information of the monitoring equipment from the monitoring equipment within the preset interval time, and comparing the real-time information of the monitoring equipment with the set reference value.
Specifically, after the construction feasibility is judged according to the risk level, when the construction feasibility is judged to be normal construction, after a risk report is sent to a construction user side, the interconnection state of the cloud server and the monitoring device is maintained, and the monitoring device is periodically monitored in real time, in the embodiment, the monitoring cycle time is once every 10 minutes, the real-time monitoring can obtain the real-time information of the monitoring device, the real-time information of the monitoring device is compared with a preset reference value, the preset reference value is a value which is lower than a value when the risk level is 60 minutes according to a first probability measured and calculated by the accident evolution model, through a process of replacing the accident evolution model, the data processing rate of the cloud server can be improved through simple numerical comparison, and a signal whether the information of the monitoring device exceeds the standard or not can be timely obtained.
And S220, when the real-time information value of the monitoring equipment is larger than a set reference value, sending a danger prediction alarm to a user end.
Specifically, when the numerical value of the real-time information of the monitoring equipment is larger than a set reference value, the information of the monitoring equipment is in an overproof state, a large risk exists, the cloud server can timely remind a construction user side by sending a danger prediction alarm, so that protective measures can be taken as soon as possible, and damage to constructors caused by accident occurrence is reduced.
And S23, when the construction feasibility is non-constructable, sending the risk report to the user side, and then sending a dormancy signal to the monitoring equipment.
Specifically, after the construction feasibility is judged according to the risk level, and when the construction feasibility is judged to be non-constructable, the risk report is sent to the construction user side, and then a dormancy signal is sent to the monitoring equipment in order to finish interconnection of the monitoring equipment and reduce power consumption of the monitoring equipment.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
The embodiment of the application also provides an engineering quality safety supervision risk assessment system, and the engineering quality safety supervision risk assessment system corresponds to the engineering quality safety supervision risk assessment method in the embodiment one to one. Referring to fig. 4, the engineering quality safety supervision risk assessment system includes: the device comprises a monitoring module 1, an evaluation module 2, a sending module 3, an acquisition unit 20, an analysis unit 21 and a matching unit 22. The functional modules are explained in detail as follows:
the monitoring module 1: the system comprises a monitoring device and a control device, wherein the monitoring device is used for sending a wake-up instruction to the monitoring device within a fixed monitoring time and monitoring the monitoring device in real time;
the evaluation module 2: if the real-time information of the monitoring equipment is received within the preset time, combining the weather information of the day, calculating an average risk predicted value according to a preset rule, matching the average risk predicted value with preset risk threshold intervals of all levels, and evaluating risk levels;
a sending module 3: and the system is used for judging the feasibility of the construction in the same day according to the risk grade, generating a risk list and corresponding preventive measures according to the construction type in the same day, and forming a risk report to be sent to the user terminal.
Further, the evaluation module 2 further includes:
the acquisition unit 20: if real-time information of the monitoring equipment is received within preset time, installation address information of the relevant monitoring equipment is extracted from a database and is sent to a weather information network to acquire weather information of the day;
the analyzing unit 21: the accident evolution model is used for evolving real-time information of the monitoring equipment and the accident evolution model related to the monitoring equipment to obtain a first probability, matching the weather information and the current construction type of the current day with the historical accident statistical probability analysis table to obtain an accident probability, and synthesizing the first probability and the accident probability to obtain an average risk prediction value;
the matching unit 22: and the risk assessment module is used for matching the average risk predicted value with preset risk threshold intervals of all levels and assessing the risk level.
Wherein, the supervising unit cloud server sends a wake-up command to the monitoring equipment within a fixed monitoring time through the monitoring module 1, the fixed monitoring time is set according to the actual working time, and starts to monitor the monitoring equipment in real time, after receiving a real-time signal of the monitoring equipment, the monitoring equipment calculates an average risk predicted value by utilizing a preset rule set by the evaluation module 2 in combination with the weather information of the day, compares and matches the average risk predicted value with preset risk thresholds of each level, evaluates to obtain a risk level, judges the feasibility of the construction of the day according to the risk level, generates a risk list and corresponding preventive measures according to the construction type of the day, forms a risk report by the risk list and the preventive measures, and sends the risk report to the user end through the sending module 3, and can push the risk report to the construction user end every day, so as to enhance the safety awareness of construction.
Further, the evaluation module 2 further includes an obtaining unit 20, an analyzing unit 21, and a matching unit 22, wherein the real-time information of the monitoring device needs to be received within a predetermined time, and after the real-time information of the monitoring device is received, the current weather information is obtained by extracting the installation address information of the relevant monitoring device from the cloud server database, and by using the obtaining unit 20 and sending the installation address information to the weather information network. After the weather information of the day is obtained, the weather information of the day is screened in the analysis unit 21, the accident probability of the weather information of the day is obtained according to the current construction type and the historical accident statistical probability analysis table, meanwhile, the real-time information of the monitoring equipment is input into an accident evolution model related to the monitoring equipment in the analysis unit 21, a first probability is obtained through evolution, and then the accident probability and the first probability are integrated to obtain an average risk prediction value. And finally, matching the average risk prediction value with preset risk threshold intervals of all levels through a matching unit 22, and evaluating the risk level.
For specific limitations of the engineering quality safety supervision risk assessment system, reference may be made to the limitations of the engineering quality safety supervision risk assessment method in the context, and details are not repeated here. All or part of the modules in the engineering quality safety supervision risk assessment system can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the electronic device, and can also be stored in a memory of the electronic device in a software form, so that the processor can call and execute operations corresponding to the modules.
In this embodiment, an electronic device is provided, which is a computer. Referring to fig. 5, the electronic device includes a processor, a memory, a network interface, and a database connected through a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic equipment comprises a nonvolatile 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 an operating system and computer programs in the non-volatile storage medium. The database of the electronic equipment is used for storing a building historical accident library, project basic information and the like required by the engineering quality safety supervision risk assessment method. The network interface of the electronic device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement the engineering quality safety supervision risk assessment method.
In one embodiment, an electronic device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
and S1, sending a wake-up instruction to the monitoring equipment within a fixed monitoring time, and monitoring the monitoring equipment in real time.
And S2, if real-time information of the monitoring equipment is received within the preset time, combining the weather information of the day, calculating an average risk predicted value according to a preset rule, matching the average risk predicted value with preset risk threshold intervals of all levels, and evaluating the risk level.
Further, step S2 is subdivided into the following sub-steps:
s201, if the real-time information of the monitoring equipment is received within the preset time, the installation address information of the relevant monitoring equipment is extracted from the database and is sent to a weather information network to obtain the weather information of the day.
S202, evolving an accident evolution model related to real-time information of the monitoring equipment and the monitoring equipment to obtain a first probability, matching weather information of the current day and the current construction type with a historical accident statistical probability analysis table to obtain an accident probability, and synthesizing the first probability and the accident probability to obtain an average risk prediction value.
And S203, matching the average risk prediction value with preset risk threshold intervals of all levels, and evaluating the risk level.
Further, the following steps are added after step S2:
and S21, judging the feasibility of the construction in the same day according to the risk grade, generating a risk list and corresponding preventive measures according to the construction type in the same day, and forming a risk report to be sent to a user terminal.
Further, the following steps are added after step S1:
and S3, if the real-time information of the monitoring equipment is not received in the preset time, repeating the preset times and sending the awakening signal to the monitoring equipment.
And S30, if the real-time information of the monitoring equipment is not received within the repeated preset times, sending an equipment abnormal signal to the user side.
Further, the steps added after step 21 are:
and S22, when the construction feasibility is normal construction, sending the risk report to the user side, then keeping the state of the monitoring equipment for real-time monitoring, receiving the real-time information of the monitoring equipment from the monitoring equipment within the preset interval time, and comparing the real-time information of the monitoring equipment with the set reference value.
And S220, when the real-time information result of the monitoring equipment is larger than the set reference value, sending a danger prediction alarm to the user end.
And S23, when the construction feasibility is non-constructable, sending the risk report to the user side, and then sending a dormancy signal to the monitoring equipment.
The embodiment of the application discloses a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when being executed by a processor, the computer program realizes the following steps:
and S1, sending a wake-up instruction to the monitoring equipment within a fixed monitoring time, and monitoring the monitoring equipment in real time.
And S2, if real-time information of the monitoring equipment is received within the preset time, combining the weather information of the day, calculating an average risk predicted value according to a preset rule, matching the average risk predicted value with preset risk threshold intervals of all levels, and evaluating the risk level.
Further, step S2 is subdivided into the following sub-steps:
s201, if the real-time information of the monitoring equipment is received within the preset time, the installation address information of the relevant monitoring equipment is extracted from the database and is sent to a weather information network to obtain the weather information of the day.
S202, evolving an accident evolution model related to real-time information of the monitoring equipment and the monitoring equipment to obtain a first probability, matching weather information of the current day and the current construction type with a historical accident statistical probability analysis table to obtain an accident probability, and synthesizing the first probability and the accident probability to obtain an average risk prediction value.
And S203, matching the average risk prediction value with preset risk threshold intervals of all levels, and evaluating the risk level.
Further, the following steps are added after step S2:
and S21, judging the feasibility of the construction in the same day according to the risk grade, generating a risk list and corresponding preventive measures according to the construction type in the same day, and forming a risk report to be sent to a user terminal.
Further, the following steps are added after step S1:
and S3, if the real-time information of the monitoring equipment is not received in the preset time, repeating the preset times and sending the awakening signal to the monitoring equipment.
And S30, if the real-time information of the monitoring equipment is not received within the repeated preset times, sending an equipment abnormal signal to the user side.
Further, the steps added after step S21 are:
and S22, when the construction feasibility is normal construction, sending the risk report to the user side, then keeping the state of the monitoring equipment for real-time monitoring, receiving the real-time information of the monitoring equipment from the monitoring equipment within the preset interval time, and comparing the real-time information of the monitoring equipment with the set reference value.
And S220, when the real-time information result of the monitoring equipment is larger than the set reference value, sending a danger prediction alarm to the user end.
And S23, when the construction feasibility is non-constructable, sending the risk report to the user side, and then sending a dormancy signal to the monitoring equipment.
The computer readable storage medium stores a computer program which, when executed by the processor, implements the steps of the above-described engineering quality safety supervision risk assessment method.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, the computer program can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above.
Claims (9)
1. A risk assessment method for engineering quality safety supervision is characterized by comprising the following steps:
sending a wake-up instruction to the monitoring equipment within a fixed monitoring time, and monitoring the monitoring equipment in real time;
if the real-time information of the monitoring equipment is received within the preset time, combining the weather information of the day, calculating an average risk predicted value according to a preset rule, matching the average risk predicted value with preset risk threshold intervals of all levels, and evaluating risk levels;
and judging the feasibility of the construction in the same day according to the risk grade, generating a risk list and corresponding preventive measures according to the construction type in the same day, and forming a risk report to be sent to a user terminal.
2. The method of claim 1, wherein after sending the wake-up command to the monitoring device within a predetermined fixed time and monitoring the monitoring device in real time, the method comprises:
if the real-time information of the monitoring equipment is not received within the preset time, repeating the preset times to send the awakening signal to the monitoring equipment;
and if the real-time information of the monitoring equipment is not received within the repeated preset times, sending an equipment abnormal signal to the user side.
3. The method according to claim 1, wherein the step of classifying the risk levels by calculating an average risk prediction value according to a preset rule and matching the average risk prediction value with preset risk threshold intervals of each level if real-time information of the monitoring device is received within a preset time period in combination with weather information of the current day, further comprises:
if real-time information of the monitoring equipment is received within preset time, installation address information of the relevant monitoring equipment is extracted from a database and is sent to a weather information network to acquire weather information of the day;
the method comprises the steps that an accident evolution model which is related to real-time information of monitoring equipment and the monitoring equipment is evolved to obtain a first probability, meanwhile, weather information of the same day and the current construction type are matched with a historical accident statistical probability analysis table to obtain an accident probability, and the first probability and the accident probability are synthesized to obtain an average risk prediction value;
and matching the average risk predicted value with preset risk threshold intervals of all levels, and evaluating the risk level.
4. The method of claim 1, further comprising:
when the construction feasibility is normal construction, the risk report is sent to a user side, the state of the monitoring equipment is kept monitored in real time, the real-time information of the monitoring equipment is received from the monitoring equipment within preset interval time, and the real-time information of the monitoring equipment is compared with a set reference value;
and when the real-time information value of the monitoring equipment is larger than the set reference value, sending a danger prediction alarm to the user end.
5. The method of claim 1, further comprising:
and when the construction feasibility is non-constructable, sending the risk report to the user side, and then sending a dormancy signal to the monitoring equipment.
6. An engineering quality safety supervision risk assessment system, comprising:
a monitoring module: the system comprises a monitoring device and a control device, wherein the monitoring device is used for sending a wake-up instruction to the monitoring device within a fixed monitoring time and monitoring the monitoring device in real time;
an evaluation module: if the real-time information of the monitoring equipment is received within the preset time, combining the weather information of the day, calculating an average risk predicted value according to a preset rule, matching the average risk predicted value with preset risk threshold intervals of all levels, and evaluating risk levels;
a sending module: and the system is used for judging the feasibility of the construction in the same day according to the risk grade, generating a risk list and corresponding preventive measures according to the construction type in the same day, and forming a risk report to be sent to the user terminal.
7. The method of claim 6, wherein the evaluation module comprises:
an acquisition unit: if real-time information of the monitoring equipment is received within preset time, installation address information of the relevant monitoring equipment is extracted from a database and is sent to a weather information network to acquire weather information of the day;
an analysis unit: the accident evolution model is used for evolving real-time information of the monitoring equipment and the accident evolution model related to the monitoring equipment to obtain a first probability, matching the weather information and the current construction type of the current day with the historical accident statistical probability analysis table to obtain an accident probability, and synthesizing the first probability and the accident probability to obtain an average risk prediction value;
a matching unit: and the risk assessment module is used for matching the average risk predicted value with preset risk threshold intervals of all levels and assessing the risk level.
8. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the engineering quality safety supervision risk assessment method according to any one of claims 1-5 when executing the computer program.
9. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method for risk assessment of engineering quality safety supervision according to any of claims 1 to 5.
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