Intelligent inspection management method and system

Abstract

The invention relates to the field of data processing, in particular to an intelligent routing inspection management method and system, when a routing inspection user performs routing inspection, reference information constructed in advance is provided for routing inspection personnel for reference, so that the routing inspection personnel can know the reference range and routing inspection time of each routing inspection point location of each routing inspection item. And the inspection personnel unfamiliar with the project can be helped to quickly know the inspection project. Besides, the priority of each inspection point location is determined by utilizing environmental parameters acquired by a sensor arranged on a construction site project in real time and real-time positioning of the inspection personnel, and when the inspection personnel execute an inspection task, the priority and reference information are utilized to guide and supervise the inspection personnel. The inspection process of the inspector can be effectively guided, supervised and managed, and the inspector is helped to improve the inspection efficiency and the inspection quality.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and specifically to a smart patrol management method and system. Background Art

[0002] The patrol inspection of a construction site is an important part of construction project management. Through regular patrol inspections, problems that occur during the construction process can be discovered in a timely manner, such as improper use of materials, unqualified workmanship, etc., so as to take measures to correct them and ensure that the project is carried out in accordance with the design requirements and relevant standards. The patrol inspection can check the safety status of the construction site, including but not limited to whether the safety facilities are in place, whether the workers comply with the safety operation procedures, etc. This helps to prevent the occurrence of safety accidents and protect the lives and physical health of workers, etc.

[0003] The existing construction site patrol inspection technology basically still relies on manual management. The patrol inspection personnel sign in and then conduct the patrol inspection, and record the problems in the patrol inspection record after the patrol inspection is completed. However, this management method depends on the experience and subjectivity of the patrol inspection personnel, and the existing technology cannot effectively guide and supervise the patrol inspection process of the patrol inspection personnel. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a smart patrol management method and system to solve the problems in the background art.

[0005] In order to achieve the above purpose, the present invention adopts the following technical solutions: A smart patrol management method of the present invention includes the steps of: When receiving a patrol inspection request from a patrol inspection personnel, obtaining reference information of the patrol inspection item corresponding to the patrol inspection request, wherein the reference information includes a plurality of patrol inspection points, reference ranges of the plurality of patrol inspection points, and reference patrol inspection duration ranges of the plurality of patrol inspection points, and the reference information is generated based on historical patrol inspection information; Sending the reference information to the patrol inspection personnel, and obtaining the real-time patrol inspection information of the patrol inspection personnel and environmental data collected by sensors at multiple points of the construction site, wherein the real-time patrol inspection information includes real-time positioning; Determining the patrol inspection priority of each patrol inspection point based on the real-time patrol inspection information of the patrol inspection personnel and the environmental data collected by sensors at multiple points of the construction site; Managing the patrol inspection guidance of the patrol inspection personnel based on the patrol inspection priority of each patrol inspection point and the reference ranges of the plurality of patrol inspection points, and managing the patrol inspection supervision of the patrol inspection personnel based on the reference ranges of the plurality of patrol inspection points and the reference patrol inspection duration ranges of the plurality of patrol inspection points.

[0006] In an embodiment of the present application, the method for generating the reference information of the patrol inspection item includes: Obtain historical inspection data generated by performing multiple inspections on the inspection items during the first target time period, where the historical inspection data includes historical inspection positions at multiple time points , where represents a time point, and the target time period is a time period of a target duration before the current time point; Calculate the distance between the historical inspection positions at any two adjacent time points in the historical inspection data ; Based on the distances between multiple adjacent time points Construct a time series displacement sequence; Perform sliding filtering on the time series displacement sequence to obtain a time series displacement filtering sequence; And slide along the time direction of the time series displacement filtering sequence based on a pre-constructed sliding window, and calculate the distance mean value of the time series displacement filtering sequence within the sliding window each time it slides ; Take the section corresponding to the sliding window with a distance mean value less than a preset distance threshold as the target section, merge adjacent target sections, and extract the slow-moving duration of the merged target section and multiple historical inspection positions ; Calculate the average position of the multiple historical inspection positions of the merged target section , take the average position of each merged target section as a candidate inspection point, and construct inspection point reference data for each historical inspection data based on the candidate inspection point and the slow-moving duration of each merged target section ; Construct reference information for the inspection item based on the inspection point reference data of the multiple historical inspection data ;

[0007] In an embodiment of the present application, constructing reference information for the inspection item based on the inspection point reference data of the multiple historical inspection data includes: Perform density clustering on the inspection point reference data of the multiple historical inspection data based on the coordinates of the candidate inspection points to obtain multiple clusters; Take the clusters with the data volume within the cluster greater than a preset threshold as intermediate clusters, calculate the average coordinates of all candidate inspection points within the intermediate clusters, and screen out the deviation points within the intermediate clusters based on the average coordinates to obtain target clusters; Calculate the average coordinates of all candidate inspection points within the target clusters to obtain inspection point reference coordinates representing the inspection positions ; Based on the reference coordinates of the inspection points Calculate the variance of the abscissas of all candidate inspection points within the target cluster , the variance of the ordinates and the covariance of the abscissas and ordinates ; Based on the variance of the abscissas , the variance of the ordinates and the covariance of the abscissas and ordinates Construct the covariance matrix of the target cluster , and the covariance matrix has the following mathematical expression:

[0008] Construct the calculation formula of the covariance matrix , and the calculation formula is , to obtain the first eigenvalue and the second eigenvalue , where represents the eigenvalue, is the identity matrix; Based on the first eigenvalue and the second eigenvalue respectively construct the major axis and the minor axis , where , , is the range adjustment parameter; Based on the major axis and the minor axis construct a range ellipse, and use the range ellipse as the reference range of the inspection point positions; Calculate the average duration and the standard deviation of the duration within the target cluster, and construct a reference inspection duration range based on the average duration and the standard deviation of the duration.

[0009] In an embodiment of the present application, determining the inspection priority of each inspection point based on the real-time inspection information of the inspection personnel and the environmental data collected by sensors at multiple points on the construction site includes: Obtain the current location of the inspection personnel , and the values of the environmental parameters of multiple sensors during the target time period; Calculate the distance between each inspection point and the current location , and determine the abnormal risk value of each monitoring point based on the values of the environmental parameters of multiple sensors during the target time period, where the abnormal risk value is determined by the value risk, the fluctuation risk, and the trend risk, is the inspection point serial number, is the monitoring point serial number; Take the abnormal risk value of the monitoring point as the abnormal risk value of the inspection point within the coverage of the corresponding sensor , and based on each inspection point and the current location the distance between , the abnormal risk value of the inspection point calculate the priority score of each inspection point , where the priority score has the following mathematical expression:

[0010] In the formula, is the first weight, is the second weight, is the normalization function; Based on the priority scores of multiple inspection points determine the priorities of multiple inspection points .

[0011] In an embodiment of the present application, determining the abnormal risk value of each monitoring point based on the environmental parameter values of multiple sensors in the target time period includes: Compare the environmental parameter values at multiple time points in the second target time period with a preset reference range to obtain a value risk value , where when the environmental parameter value at any time point in the target time period does not fall within the preset reference range, , otherwise, ; Perform a moving average on the environmental parameter values at multiple time points in the second target time period based on a pre-constructed sliding window to obtain the average environmental parameter values of multiple sections extracted by the sliding window , and when the average environmental parameter values of any two adjacent sections satisfy , or, , it is determined that there is a one-way change trend in the environmental parameter values at multiple time points in the target time period; when there is an upward trend in the environmental parameter values at multiple time points in the target time period, compare the environmental parameter value at the current time point with a set upward warning line, and when the environmental parameter value at the current time point is greater than the upward warning line, the trend risk value , otherwise, ​​;When the values of the environmental parameters at multiple time points in the target time period show a downward trend, the value of the environmental parameter at the current time point is compared with the set downward warning line, and when the value of the environmental parameter at the current time point is less than the upward warning line, the trend risk value , otherwise, ; When the values of the environmental parameters at multiple time points in the target time period do not show a one-way change trend, calculate the variance of the values of the environmental parameters at multiple time points in the target time period, and compare the variance with the preset variance range to obtain the fluctuation risk value , where when the variance does not fall within the preset variance range, , otherwise, ; Based on the value risk value and the trend risk value construct the abnormal risk value , ; or; based on the value risk value and the fluctuation risk value construct the abnormal risk value , , where, is the third weight, is the fourth weight, is the fifth weight.

[0012] In an embodiment of the present application, the inspection guidance management of the inspection personnel is based on the inspection priorities of each inspection point, including: Obtain the current position of the inspection personnel; When the duration of the current position of the inspection personnel within the reference range of one of the inspection points exceeds the target duration, it is determined that the inspection personnel is performing an inspection at the current inspection point, and the inspection priorities of all inspection points are updated at the current position of the inspection personnel, and the next inspection point with the highest inspection priority is sent to the inspection personnel to complete the guidance management.

[0013] In an embodiment of the present application, the inspection supervision management of the inspection personnel is based on the reference ranges of multiple inspection points and the reference inspection duration ranges of multiple inspection points, including: Statistical inspection duration and inspection path of the inspection personnel within the reference range of each inspection point, where the inspection path is composed of multiple positions of the inspection personnel within the reference range; Compare the inspection duration with the reference inspection duration range, and when the inspection duration is less than the lower limit value of the reference inspection duration range, prompt the inspector; Count the number of grid cells passed by the inspection path within the reference range, calculate the passing grid ratio based on the number of passed grid cells and the total number of grid cells within the reference range, compare the passing grid ratio with a preset ratio threshold, and when the passing grid ratio is less than the preset ratio threshold, prompt the inspector. Among them, the reference range is evenly divided in advance to obtain multiple grid cells within the reference range.

[0014] In an embodiment of the present application, it further includes: When prompting the inspector, mark the inspection points, and cancel the mark until the inspection duration is greater than or equal to the lower limit value of the reference inspection duration range, or the passing grid ratio is greater than or equal to the preset ratio threshold.

[0015] In an embodiment of the present application, the historical inspection data is data located within the defined range of the inspection project, where the address and defined range of the inspection project are established in advance.

[0016] The present application also provides an intelligent inspection management system, including: An acquisition module, configured to acquire the reference information of the inspection project corresponding to the inspection request when receiving an inspection request from an inspector. Among them, the reference information includes multiple inspection points, the reference range of multiple inspection points, and the reference inspection duration range of multiple inspection points, and the reference information is generated based on historical inspection information; A detection module, configured to send the reference information to the inspector, and acquire the real-time inspection information of the inspector and the environmental data collected by sensors at multiple points on the construction site. Among them, the real-time inspection information includes real-time positioning; A priority determination module, configured to determine the inspection priority of each inspection point based on the real-time inspection information of the inspector and the environmental data collected by sensors at multiple points on the construction site; A management module, configured to perform inspection guidance management on the inspector based on the inspection priority of each inspection point and the reference range of multiple inspection points, and perform inspection supervision management on the inspector based on the reference range of multiple inspection points and the reference inspection duration range of multiple inspection points.

[0017] The beneficial effects of the present invention are as follows: For a smart patrol management method and system of the present invention, when a patrol user conducts a patrol, the pre-constructed reference information is provided to the patrol personnel for reference, so that the patrol personnel can understand the reference range and patrol time of each patrol point of each patrol item. This helps the patrol personnel who are not familiar with the project quickly understand the patrol project. In addition, the present application determines the priority of each patrol point by using the environmental parameters collected in real time by the sensors set on the construction site project and the real-time positioning of the patrol personnel. When the patrol personnel are performing the patrol task, the priority and reference information are used to guide and supervise the patrol personnel. The present application can effectively guide and supervise the patrol process of the patrol personnel, and help the patrol personnel improve the patrol efficiency and quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described below in conjunction with the drawings and embodiments: Figure 1 FIG. is a usage scenario diagram of a smart patrol management method shown in an embodiment of the present application; Figure 2 FIG. is a flowchart of a smart patrol management method shown in an embodiment of the present application; Figure 3 FIG. is a schematic diagram of project information upload in an embodiment of the present application; Figure 4 FIG. is a schematic diagram of the priorities of multiple patrol points in an embodiment of the present application; Figure 5 FIG. is a schematic diagram of the grid within the reference range and the patrol path in an embodiment of the present application; Figure 6 FIG. is a structural diagram of a smart patrol management system shown in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The following specifically illustrates the embodiments of the present invention through specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0020] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner. Therefore, only the layers related to the present invention are shown in the diagrams, rather than being drawn according to the number, shape, and size of the layers in actual implementation. The type, quantity, and ratio of each layer in actual implementation can be arbitrarily changed, and the layer layout type may also be more complex.

[0021] In the following description, a large number of details are explored to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details.

[0022] All relevant information involved in this application has been obtained with full consent and authorization, and the collection, use, and processing of relevant information need to comply with the relevant laws, regulations, and standards of relevant countries and regions.

[0023] Figure 1 It is an application scenario diagram of an intelligent patrol management method shown in an embodiment of this application. As Figure 1 shown, the intelligent patrol management method in this application is based on the server 110 and the handheld intelligent terminal 120. The handheld intelligent terminal 120 is carried by the patrol personnel and is used to provide guidance and reference information for the patrol personnel, and at the same time collect the real-time location of the patrol personnel. The handheld intelligent terminal 120 sends the real-time location to the server 110, and the server 110 determines the priority of the patrol points, dynamically guides, and supervises the patrol based on the real-time location and the environmental data uploaded by the sensors.

[0024] Figure 2 It is a flowchart of an intelligent patrol management method shown in an embodiment of this application. As Figure 2 shown, an intelligent patrol management method in this embodiment may include the steps: S210, when receiving a patrol request from a patrol personnel, obtain the reference information of the patrol item corresponding to the patrol request, where the reference information includes a plurality of patrol points, the reference ranges of the plurality of patrol points, and the reference patrol duration ranges of the plurality of patrol points, and the reference information is generated based on historical patrol information; In this application, when the patrol personnel execute the patrol task, they upload the patrol request to the server through the handheld intelligent terminal, and the server automatically responds, so as to return the location and range corresponding to the patrol item in the patrol task to the patrol personnel.

[0025] In this application, since there are patrol personnel who are not familiar with the project, and as the construction progress advances, the patrol points will also change, so a fixed patrol point map cannot be provided. Therefore, this application constructs reference information through historical patrol data to help the patrol personnel understand the points to be patrolled, the reference ranges of the points, and the reference patrol duration of each patrol point.

[0026] The construction process of the reference information is as follows: (1) Obtain the historical patrol data generated during multiple patrols of the patrol item in the first target time period, where the historical patrol data includes the historical patrol locations at multiple time points , where represents a time point, and the target time period is a time period of a target duration before the current time point; Considering that the inspection points will change as the construction progress of the construction site project advances. For example, during the basic construction stage, the inspections may focus on foundation treatment and underground facilities; while during the structural construction stage, more attention is paid to the quality inspections of processes such as concrete pouring and steel bar binding. As the building or infrastructure gradually takes shape, potential safety hazards will also change accordingly. In the initial stage, the risks of earth excavation and slope stability may be relatively high, and in the later stage, the risks in aspects such as high-altitude operations and lifting operations may increase.

[0027] Therefore, when constructing the reference information, historical inspection data of a target duration before the current time period is taken to adapt to the continuously changing inspection points. The target duration is not fixed. For example, during the rapid construction period, where the project changes greatly, a shorter duration, such as 15 days, is taken; while during the construction stage with no rapid changes, a longer duration, such as 2 months, is taken.

[0028] The historical inspection data can be sampled from the inspection data of some experienced inspectors. In addition, the historical inspection data is inspection data located within the limited range of the inspection project, where the address and the limited range of the inspection project are established in advance. The address and the limited range of the inspection project are uploaded to the server in advance. Figure 3 is a schematic diagram of project information upload in an embodiment of the present application, and the process of information upload is as Figure 3 shown.

[0029] (2) Calculate the distance between the historical inspection positions of any two adjacent time points in the historical inspection data ; For the historical inspection data generated by each inspection task, the present application needs to extract the intervals where the inspector stays or moves slowly, and use the positions in this interval as the candidate inspection point positions. Therefore, the present application first calculates the distance between the historical inspection positions between adjacent time points to find out the intervals where the inspector stays or moves slowly.

[0030] (3) Construct a time series displacement sequence based on the distances between multiple adjacent time points ; (4) Perform sliding filtering on the time series displacement sequence to obtain a time series displacement filtered sequence; Since the positioning information itself is prone to fluctuations, the present application performs sliding filtering on the time series displacement sequence to remove the mutation points therein and obtain a smoother time series displacement filtered sequence curve.

[0031] (5) Slide along the time direction of the time series displacement filtering sequence based on a pre-constructed sliding window, and calculate the mean distance of the time series displacement filtering sequence within the sliding window each time it slides. ; In this embodiment, a sliding window is used to calculate the average displacement of multiple sections of the time series displacement filtering sequence. The average displacement within the window reflects the displacement level of the patrol personnel within the corresponding time section.

[0032] (6) Use the section corresponding to the sliding window with a mean distance less than the preset distance threshold as the target section, merge adjacent target sections, and extract the slow travel duration and multiple historical patrol positions; For the mean distance calculated by the sliding window , if they are adjacent sliding windows, it means they are within the same time interval, so they are merged.

[0033] (7) Calculate the average position of multiple historical patrol positions in the merged target section, use the average position of each merged target section as the candidate patrol point, and construct the patrol point reference data of each historical patrol data based on the candidate patrol points and slow travel duration of each merged target section; ; For each merged target section, all the positioning points within the target section are selected through the historical patrol data in the previous text, and the average value is calculated to obtain the candidate patrol point. Since there are various reasons for the patrol personnel to slow down or stay during the patrol, the candidate patrol point cannot be directly used as the patrol point and further screening is required, as follows: (8) Perform density clustering on the patrol point reference data of the multiple historical patrol data based on the coordinates of the candidate patrol points to obtain multiple clusters; For the candidate patrol points extracted from each historical patrol, this application performs density clustering on them, so as to cluster the patrol point reference data with similar position characteristics together to obtain multiple clusters.

[0034] (9) Use the cluster with the data volume within the cluster greater than the preset threshold as the intermediate cluster, calculate the average coordinates of all candidate patrol points within the intermediate cluster, and screen out the deviation points within the intermediate cluster based on the average coordinates to obtain the target cluster; If the number of clusters obtained by clustering is large, it indicates that there are a large number of candidate inspection points with similar positions within this cluster. Then, it is determined that the inspection points within this cluster are the points that the inspection personnel are likely to inspect when performing the inspection task. For the other clusters with a small number, it indicates that the candidate inspection points within the cluster are formed accidentally. It may be the positioning generated when the inspection personnel are performing accidental events, such as resting, making a phone call, etc., or slowing down or staying in the inspection area. Since it is an accidental event, the positioning is not fixed. Therefore, these data points are removed.

[0035] In this application, each selected target cluster represents an inspection point. Each target cluster is a set of positioning points generated when inspecting the inspection point in the historical inspection data.

[0036] (10)Calculate the average coordinates of all candidate inspection points within the target cluster to obtain the inspection point reference coordinates representing the inspection point ; Based on the inspection point reference coordinates Calculate the abscissa variance of all candidate inspection points within the target cluster 、ordinate variance and abscissa-ordinate covariance ; Since the target clusters are selected in the previous text, only the reference range and reference duration need to be extracted from the target clusters to construct the reference information for the inspection personnel to refer to.

[0037] In this embodiment, first calculate the average coordinates of all candidate inspection points within the target cluster as the standard positioning point of the inspection point.

[0038] Then calculate the abscissa variance of all candidate inspection points within the target cluster 、ordinate variance and abscissa-ordinate covariance to reflect the distribution characteristics of the data points within the target cluster.

[0039] Among them, the abscissa variance 、ordinate variance and abscissa-ordinate covariance The mathematical expressions are respectively:

[0040] Among them, is the total number of positioning points within the target cluster, is the coordinate of the th positioning point within the target cluster, is the coordinate mean of all positioning points within the target cluster , The coordinate mean of all the positioning points within the target cluster.

[0041] (11) Based on the abscissa variance , the ordinate variance and the covariance of the abscissa and ordinate to construct the covariance matrix of the target cluster , the mathematical expression of the covariance matrix is:

[0042] Construct the calculation formula of the covariance matrix , and the calculation formula is , to obtain the first eigenvalue and the second eigenvalue , where represents the eigenvalue, is the identity matrix; (12) Based on the first eigenvalue and the second eigenvalue respectively construct the major axis and the minor axis , where , , is the range adjustment parameter; (13) Based on the major axis and the minor axis to construct a range ellipse, and use the range ellipse as the reference range for the inspection points; In this embodiment, by constructing the covariance matrix, then solving the covariance matrix to obtain the eigenvalues, and finally using the eigenvalues to construct the major axis and minor axis of the ellipse, a range ellipse reflecting the approximate inspection range of the inspection points is constructed. The shape of the range ellipse is related to the characteristics of the inspection target. For example, when the inspection target is a long equipment, the major axis of the constructed range ellipse will be much larger than the minor axis.

[0043] (14) Calculate the average duration and the standard deviation of the duration within the target cluster, and construct a reference inspection duration range based on the average duration and the standard deviation of the duration.

[0044] Finally, use the average duration and the standard deviation of the duration within the target cluster to construct a duration reference range that satisfies 3 times the standard deviation. Combining with the range ellipse of the inspection points, the reference information can be constructed.

[0045] When the inspection personnel perform the inspection task, the reference information can be sent to the inspection personnel to prompt the inspection personnel to perform the inspection according to the reference information.

[0046] S220, send the reference information to the patrol personnel, and obtain the real-time patrol information of the patrol personnel and the environmental data collected by sensors at multiple points on the construction site. Among them, the real-time patrol information includes real-time positioning; In this embodiment, the construction site project for patrol is a smart construction site, and generally, multiple sensors are set up, such as temperature and humidity sensors, dust concentration sensors, noise sensors, harmful gas sensors, etc. The data collected by these sensors are returned to the background device, and the background device then transmits them to the server through the Internet.

[0047] S230, determine the patrol priority of each patrol point based on the real-time patrol information of the patrol personnel and the environmental data collected by sensors at multiple points on the construction site; In this application, when the patrol personnel are on patrol, they need to give priority to selecting areas with abnormalities or abnormal risks to quickly locate and discover problems. However, the patrol route of the patrol personnel also needs to be considered to avoid a large amount of detours. Therefore, this application first determines the priority of each patrol point to use the priority to perform patrol route planning and guidance.

[0048] The process of determining the priority is as follows: S231, obtain the current location of the patrol personnel and the values of the environmental parameters of multiple sensors in the target time period; In this application, dynamic priority is adopted, that is, the priority of multiple patrol points is determined according to the current position of the patrol personnel. The advantage of determining the priority in this way is that it is more flexible and more reasonable. Therefore, it is necessary to obtain the location of the patrol personnel through a handheld intelligent terminal. In addition, the set sensors also collect the values of the environmental parameters of the monitoring points in real time.

[0049] S232, calculate the distance between each patrol point and the current location , and determine the abnormal risk value of each monitoring point based on the values of the environmental parameters of multiple sensors in the target time period , where the abnormal risk value is determined by the value risk, fluctuation risk, and trend risk, is the serial number of the patrol point, is the serial number of the monitoring point; In this application, the value risk reflects whether there is an abnormality in the monitoring point, while the fluctuation risk and trend risk reflect whether there is an abnormal risk in the monitoring unit.

[0050] Specifically, the process of determining the abnormal risk value is as follows: S2321, compare the values of the environmental parameters at multiple time points in the second target time period with the preset reference range to obtain the value risk value wherein, when the value of the environmental parameter at any time point within the target time period does not fall within the preset reference range, otherwise, ; To determine abnormal values, environmental parameters such as temperature and humidity, dust concentration, noise level, and harmful gas concentration are compared with their corresponding reference ranges. If the range is exceeded, it indicates that the environmental parameter is abnormal. At this time, the abnormal parameter value is assigned 1, indicating a risk of abnormal values.

[0051] Among them, the second target time period can be a time period of 1 - 2 hours before the current time point.

[0052] S2322, perform moving average on the values of the environmental parameters at multiple time points within the second target time period based on a pre - constructed sliding window to obtain the average values of the environmental parameters in multiple segments extracted by the sliding window , and when the average values of the environmental parameters in any two adjacent segments satisfy , or, , it is determined that there is a one - way change trend in the values of the environmental parameters at multiple time points within the target time period; When analyzing potential risks, first perform trend analysis on the values taken by multiple sensors within the second target time period (i.e., the time period of 1 - 2 hours before the current time point).

[0053] In this application, the moving average method is used to extract the average values of the environmental parameters in multiple time segments, and the average values of multiple time segments are used to analyze the overall value - taking trend, so as to determine whether there is a one - way change trend in value - taking. If there is a one - way change trend over a continuous time period, it is very likely that abnormal values will occur at future time points.

[0054] S2323, when there is an upward trend in the values of the environmental parameters at multiple time points within the target time period, compare the value of the environmental parameter at the current time point with the set upward warning line, and when the value of the environmental parameter at the current time point is greater than the upward warning line, the trend risk value , otherwise, ; when there is a downward trend in the values of the environmental parameters at multiple time points within the target time period, compare the value of the environmental parameter at the current time point with the set downward warning line, and when the value of the environmental parameter at the current time point is less than the upward warning line, the trend risk value, otherwise, ; When there is a one-way change trend, the present application compares the value at the current time point with a preset warning line. If the warning line has been exceeded, it indicates that there is already an abnormal risk. At this time, the trend risk value .

[0055] S2324. When there is no one-way change trend in the values of the environmental parameters at multiple time points in the target time period, calculate the variance of the values of the environmental parameters at multiple time points in the target time period, and compare the variance with a preset variance range to obtain a fluctuation risk value , where when the variance does not fall within the preset variance range , otherwise ; If there is no one-way change trend, it is also necessary to analyze whether there is abnormal fluctuation in the values, because if there is abnormal fluctuation, it indicates that there are some abnormal scenarios now, resulting in abnormal changes in the environmental parameters. This is also an abnormal situation that needs to be inspected. Therefore, in this embodiment, the variance is used to analyze the volatility. If there is abnormal fluctuation, the fluctuation risk value is assigned a value of 1

[0056] S2325. Based on the value risk value and the trend risk value construct an abnormal risk value , ; or; based on the value risk value and the fluctuation risk value construct an abnormal risk value , , where is the third weight is the fourth weight is the fifth weight

[0057] Finally, use the preset weights to perform weighted summation on the value abnormality, trend risk, and fluctuation risk to obtain the overall abnormal risk value. The abnormal risk value can reflect abnormalities in multiple dimensions

[0058] Specifically , .

[0059] S233. Use the abnormal risk value of the monitoring point as the abnormal risk value of the inspection points within the coverage range of the corresponding sensor , and based on each inspection point and the current location the distance between them, the abnormal risk value of the inspection point calculate each inspection point Priority score , where the priority score The mathematical expression is:

[0060] In the formula, is the first weight, is the second weight, is a normalization function; The purpose of the normalization function is to uniformly measure the risks or distances of multiple inspection points. Then, weighted summation is performed.

[0061] By using the abnormal risk and distance for weighting, the priorities of multiple inspection points at the current position of the inspection personnel can be obtained. Thus, it helps the inspection personnel to evaluate the priority of the next point from two dimensions of point risk and distance.

[0062] S234, based on the priority scores of multiple inspection points Priority score Determine the priorities of multiple inspection points Priority.

[0063] Figure 4 This is a schematic diagram of the priorities of multiple inspection points in an embodiment of the present application. As Figure 4 shown, the present application adopts the method of dynamic priority, which can provide the optimal path for each single inspection for the inspection personnel.

[0064] S240, based on the inspection priority of each inspection point and the reference ranges of multiple inspection points, conduct inspection guidance management for the inspection personnel, and, based on the reference ranges of multiple inspection points and the reference inspection duration ranges of multiple inspection points, conduct inspection supervision management for the inspection personnel.

[0065] After constructing the priorities and reference information, the priorities and reference information can be used to conduct guidance management and supervision management for the inspection personnel. The steps of guidance management include: S2401, obtain the current position of the inspection personnel; S2402, when the duration for which the current position of the inspection personnel is within the reference range of one of the inspection points exceeds the target duration, determine that the inspection personnel are performing inspections at the current inspection point, update the inspection priorities of all inspection points at the current position of the inspection personnel, and send the next inspection point with the highest inspection priority to the inspection personnel to complete the guidance management.

[0066] If the stay duration of the patrol personnel within the reference range of a certain patrol point exceeds the preset target duration (i.e., it is considered that the patrol personnel have performed the patrol task at this point), the system confirms that the patrol personnel are performing the patrol task at the current patrol point. Such guidance can help the patrol personnel complete all patrol tasks according to the optimal path and sequence, improve work efficiency and ensure that all key points are inspected in a timely manner.

[0067] When performing guidance management, it is necessary to update the patrol priorities of all patrol points based on dynamic priorities, and send the next patrol point with the highest patrol priority to the patrol personnel, so as to help the patrol personnel achieve optimal path planning.

[0068] The process of supervision and management includes: S2411, statistically calculate the patrol duration and patrol path of the patrol personnel within the reference range of each patrol point, where the patrol path is composed of multiple positions of the patrol personnel within the reference range; For each patrol point, the system needs to calculate the stay time of the patrol personnel within the reference range of this point. This is usually achieved by recording the timestamps when the patrol personnel enter and leave the reference range.

[0069] The patrol path is composed of a series of positioning points within the reference range. These positioning points can come from GPS or other positioning technologies. The system needs to collect this positioning data and concatenate them to form the patrol path.

[0070] S2412, compare the patrol duration with the reference patrol duration range, and when the patrol duration is less than the lower limit value of the reference patrol duration range, give a prompt to the patrol personnel; The patrol path is composed of a series of positioning points within the reference range. These positioning points can come from GPS or other positioning technologies. The system needs to collect this positioning data and concatenate them to form the patrol path.

[0071] S2413, statistically calculate the number of grids passed by the patrol path within the reference range, and calculate the passed grid ratio based on the number of grids passed and the total number of grids within the reference range. Compare the passed grid ratio with the preset ratio threshold, and when the passed grid ratio is less than the preset ratio threshold, give a prompt to the patrol personnel, where the reference range is evenly divided in advance to obtain multiple grids within the reference range.

[0072] Figure 5 Schematic diagram of the grids and patrol path within the reference range in an embodiment of the present application, as Figure 5As shown in the figure, in this application, the inspection area is first evenly divided to generate multiple small grids. The advantage of doing this is that the inspection coverage can be evaluated more precisely. Count the number of grids passed by the inspection path. Here, only the grids actually reached by the inspection path are considered. Calculate the ratio based on the number of grids passed by and the total number of grids, that is . Compare the calculated ratio of grids passed by with a preset ratio threshold. If it is lower than the threshold, it indicates insufficient inspection coverage, and the system will also prompt the inspector. This mechanism helps to ensure the quality and efficiency of the inspection work. By real-time monitoring and feedback, it helps the inspector identify potential problem areas and improve the comprehensiveness and accuracy of the inspection work. At the same time, it can also provide quantitative basis for the management, facilitating subsequent performance evaluation and decision-making.

[0073] In addition, when prompting the inspector, mark the inspection points until the inspection duration is greater than or equal to the lower limit of the reference inspection duration range, or the ratio of grids passed by is greater than or equal to the preset ratio threshold, then the marks are removed. This is convenient for the inspector to use the handheld intelligent terminal to view the inspection tasks and check if there are any points with insufficient inspection.

[0074] A smart inspection management method of the present invention provides reference information constructed in advance to the inspector when the inspector conducts the inspection, so that the inspector can understand the reference range and inspection time of each inspection point of each inspection item. It helps the inspectors who are not familiar with the project quickly understand the inspection project. In addition, this application uses the environmental parameters collected in real time by the sensors set on the construction site project and the real-time positioning of the inspector to determine the priority of each inspection point. When the inspector is performing the inspection task, the priority and reference information are used to guide and supervise the inspector. This application can effectively guide and supervise the inspection process of the inspector, and help the inspector improve the inspection efficiency and inspection quality.

[0075] As Figure 6 shown in the figure, this application also provides a smart inspection management system, including: An acquisition module, configured to acquire the reference information of the inspection item corresponding to the inspection request when receiving the inspection request from the inspector, wherein the reference information includes multiple inspection points, the reference range of multiple inspection points, the reference inspection duration range of multiple inspection points, and the reference information is generated based on historical inspection information; A detection module, configured to send the reference information to the inspector, and acquire the real-time inspection information of the inspector and the environmental data collected by the sensors at multiple points on the construction site, wherein the real-time inspection information includes real-time positioning; A priority determination module, configured to determine the inspection priority of each inspection point based on the real-time inspection information of the inspection personnel and the environmental data collected by sensors at multiple points on the construction site; A management module, configured to perform inspection guidance management on the inspection personnel based on the inspection priority of each inspection point and the reference range of multiple inspection points, and perform inspection supervision management on the inspection personnel based on the reference range of multiple inspection points and the reference inspection duration range of multiple inspection points.

[0076] A smart inspection management system according to the present invention, when an inspection user conducts an inspection, uses pre-constructed reference information to provide reference to the inspection personnel, so that the inspection personnel can understand the reference range and inspection time of each inspection point of each inspection item. It helps inspection personnel who are not familiar with the project quickly understand the inspection project. In addition, the present application uses the environmental parameters collected in real time by sensors set on the construction site project and the real-time positioning of the inspection personnel to determine the priority of each inspection point. When the inspection personnel are performing the inspection task, the priority and reference information are used to guide and supervise the inspection personnel. The present application can effectively guide and supervise the inspection process of the inspection personnel, and help the inspection personnel improve the inspection efficiency and inspection quality.

[0077] This embodiment also provides an electronic terminal, including: a processor and a memory; The memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the terminal executes any method in this embodiment.

[0078] For the computer-readable storage medium in this embodiment, those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to the computer program. The foregoing computer program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above method embodiments; and the foregoing storage medium includes: various media such as ROM, RAM, magnetic disk, or optical disk that can store program codes.

[0079] The electronic terminal provided in this embodiment includes a processor, a memory, a transceiver, and a communication interface. The memory and the communication interface are connected to the processor and the transceiver and complete communication with each other. The memory is used to store a computer program, the communication interface is used to communicate, and the processor and the transceiver are used to run the computer program, so that the electronic terminal executes each step of the above method.

[0080] In this embodiment, the memory may include a random access memory (Random Access Memory, abbreviated as RAM), and may also include a non-volatile memory, such as at least one disk memory.

[0081] The above-mentioned processor may be a general-purpose processor, including a central processing unit (CPU for short), a network processor (NP for short), etc.; it may also be a digital signal processor (DSP for short), an application specific integrated circuit (ASIC for short), a field-programmable gate array (FPGA for short), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0082] In the above embodiments, although the present invention has been described in conjunction with specific embodiments of the present invention, many substitutions, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art based on the foregoing description. The embodiments of the present invention are intended to cover all such substitutions, modifications, and variations that fall within the broad scope of the appended claims.

[0083] The above embodiments are only illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes completed by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. A smart inspection management method, characterized in that: Includes steps: When receiving an inspection request from an inspection personnel, obtaining reference information of the inspection item corresponding to the inspection request, wherein the reference information includes multiple inspection points and reference ranges of the multiple inspection points, and reference inspection duration ranges of the multiple inspection points, and the reference information is generated based on historical inspection information; Sending the reference information to the inspection personnel, and obtaining the real-time inspection information of the inspection personnel and environmental data collected by sensors at multiple points on the construction site, wherein the real-time inspection information includes real-time positioning; Determine the inspection priority of each inspection point based on the real-time inspection information of the inspection personnel and the environmental data collected by sensors at multiple points on the construction site; The inspection personnel are given inspection guidance management based on the inspection priority of each inspection point and the reference range of multiple inspection points, and the inspection personnel are supervised and managed based on the reference range of multiple inspection points and the reference inspection time range of multiple inspection points.

2. A smart inspection management method according to claim 1, characterized in that: The method for generating reference information of the inspection items includes: Obtain historical inspection data generated when multiple inspections are performed on the inspection items during the first target time period, wherein the historical inspection data includes historical inspection locations at multiple time points ,in, represents a time point, and the target time period is a time period of a target duration before the current time point; Calculate the distance between any two adjacent time points in the historical inspection data. ; Based on the distance of multiple adjacent time points Constructing a time-series displacement sequence; Performing sliding filtering on the time series shift sequence to obtain a time series shift filtering sequence; The pre-built sliding window is then slid along the time direction of the time-series shift filter sequence, and the distance mean of the time-series shift filter sequence in the sliding window is calculated at each sliding. ; The distance to the mean The segment corresponding to the sliding window that is less than the preset distance threshold is taken as the target segment, and the adjacent target segments are merged, and the slow-down duration of the merged target segment is extracted. And multiple historical patrol positioning ; Calculate multiple historical patrol locations for the merged target segment The average position , taking the average position of each merged target segment as a candidate inspection point, and based on the candidate inspection points of each merged target segment and the deceleration time Construct inspection point reference data for each historical inspection data ; Inspection point reference data based on the plurality of historical inspection data Construct reference information for the inspection item.

3. A smart inspection management method according to claim 2, characterized in that: Inspection point reference data based on the plurality of historical inspection data The reference information for constructing the inspection project includes: The inspection point reference data of the plurality of historical inspection data are compared based on the coordinates of the candidate inspection point positions. Perform density clustering to obtain multiple clusters; The cluster whose data volume is greater than a preset threshold is taken as an intermediate cluster, the average coordinates of all candidate inspection points in the intermediate cluster are calculated, and the deviation points in the intermediate cluster are screened out based on the average coordinates to obtain a target cluster; Calculate the average coordinates of all candidate inspection points in the target cluster to obtain the inspection point reference coordinates representing the inspection point position ; Based on the inspection point reference coordinates Calculate the horizontal coordinate variance of all candidate inspection points in the target cluster , vertical axis variance and the horizontal and vertical covariance ; Based on the horizontal coordinate variance , the vertical coordinate variance and the horizontal and vertical covariance Construct the covariance matrix of the target cluster , the covariance matrix The mathematical expression is: Constructing the covariance matrix The calculation formula is , and get the first eigenvalue and the second eigenvalue ,in, represents the eigenvalue, is the identity matrix; Based on the first eigenvalue and the second eigenvalue Construct the long axis separately and short axis ,in, , , is the range adjustment parameter; Based on the long axis and the short axis Constructing a range ellipse and using the range ellipse as a reference range for inspection points; The average duration and the duration standard deviation in the target cluster are calculated, and a reference inspection duration range is constructed based on the average duration and the duration standard deviation.

4. The intelligent inspection management method according to claim 1 is characterized in that: The inspection priority of each inspection point is determined based on the real-time inspection information of the inspection personnel and the environmental data collected by sensors at multiple points on the construction site, including: Get the current location of the inspector , the values ​​of environmental parameters of multiple sensors in the target time period; Calculate each inspection point With current positioning The distance between , and determine the abnormal risk value of each monitoring point based on the values ​​of environmental parameters of multiple sensors in the target time period , where the abnormal risk value is determined by the value risk, volatility risk and trend risk. is the inspection point sequence number, is the monitoring point sequence number; The abnormal risk value of the monitoring point is used as the abnormal risk value of the inspection point within the coverage range of the corresponding sensor. , and based on each inspection point With current positioning The distance between , abnormal risk value of inspection points Calculate each inspection point Priority score , where the priority score The mathematical expression is: In the formula, is the first weight, is the second weight, is the normalization function; Based on multiple inspection points Priority score Determine multiple inspection points priority.

5. A smart inspection management method according to claim 4, characterized in that: The abnormal risk value of each monitoring point is determined based on the values ​​of environmental parameters of multiple sensors in the target time period, including: Compare the values ​​of the environmental parameters at multiple time points in the second target time period with the preset reference range to obtain the value risk value , wherein, when the value of the environmental parameter at any time point in the target time period does not fall within the preset reference range, ,otherwise, ; Based on the pre-built sliding window, the values ​​of the environmental parameters at multiple time points in the second target time period are moved and averaged to obtain the average value of the environmental parameters of multiple sections extracted by the sliding window. , and the average value of the environmental parameters in any two adjacent sections satisfies ,or, When the values ​​of the environmental parameters at multiple time points in the target time period have a unidirectional change trend, the values ​​of the environmental parameters at the current time point are determined to have a unidirectional change trend; when the values ​​of the environmental parameters at multiple time points in the target time period have an upward trend, the values ​​of the environmental parameters at the current time point are determined to have a unidirectional change trend. Compare with the set rising warning line and the value of the environmental parameter at the current time point When it is greater than the rising warning line, the trend risk value ,otherwise, When the values ​​of the environmental parameters at multiple time points in the target time period have a downward trend, the value of the environmental parameters at the current time point Compare with the set down warning line and the value of the environmental parameter at the current time point When it is less than the rising warning line, the trend risk value ,otherwise, ; When there is no unidirectional change trend in the values ​​of the environmental parameters at multiple time points in the target time period, the variance of the values ​​of the environmental parameters at multiple time points in the target time period is calculated, and the variance is compared with the preset variance range to obtain the volatility risk value. , wherein, when the variance does not fall within the preset variance range, ,otherwise, ; Based on the risk value and the trend risk value Constructing anomaly risk value , ; or; based on the risk value and volatility risk Constructing anomaly risk value , ,in, is the third weight, is the fourth weight, The fifth weight.

6. The intelligent inspection management method according to claim 1 is characterized in that: Performing inspection guidance management on the inspection personnel based on the inspection priority of each inspection point includes: Get the current location of the inspector; When the time that the inspector's current position is within the reference range of one of the inspection points exceeds the target time, it is determined that the inspector is performing inspection at the current inspection point, and the inspection priority of all inspection points is updated at the inspector's current position, and the next inspection point with the highest inspection priority is sent to the inspector to complete the guidance management.

7. The intelligent inspection management method according to claim 1 is characterized in that: Based on the reference ranges of multiple inspection points and the reference inspection time ranges of multiple inspection points, the inspection personnel are supervised and managed, including: Counting the inspection time and inspection path of the inspection personnel within the reference range of each inspection point, wherein the inspection path is composed of multiple locations of the inspection personnel within the reference range; Compare the inspection time with the reference inspection time range, and when the inspection time is less than the lower limit of the reference inspection time range, prompt the inspection personnel; The number of grids passed by the inspection path within the reference range is counted, and the ratio of grids passed by is calculated based on the number of grids passed by and the total number of grids within the reference range, the ratio of grids passed by is compared with a preset ratio threshold, and when the ratio of grids passed by is less than the preset ratio threshold, the inspection personnel is prompted, wherein the reference range is evenly divided in advance to obtain multiple grids within the reference range.

8. A smart inspection management method according to claim 7, characterized in that: Also includes: When the inspection personnel are prompted, the inspection points are marked until the inspection duration is greater than or equal to the lower limit of the reference inspection duration range, or the passing grid ratio is greater than or equal to the preset ratio threshold, and then the mark is removed.

9. The intelligent inspection management method according to claim 2 is characterized in that: The historical inspection data is data located within a limited range of the inspection item, wherein the address and limited range of the inspection item are pre-established.

10. A smart inspection management system, characterized in that: include: An acquisition module, configured to, upon receiving an inspection request from an inspection personnel, acquire reference information of the inspection item corresponding to the inspection request, wherein the reference information includes a plurality of inspection points and reference ranges of the plurality of inspection points, and reference inspection duration ranges of the plurality of inspection points, and the reference information is generated based on historical inspection information; A detection module, used to send the reference information to the inspection personnel, and obtain the real-time inspection information of the inspection personnel and the environmental data collected by sensors at multiple points on the construction site, wherein the real-time inspection information includes real-time positioning; A priority determination module, used to determine the inspection priority of each inspection point based on the real-time inspection information of the inspection personnel and the environmental data collected by sensors at multiple points on the construction site; A management module is used to perform inspection guidance management on the inspection personnel based on the inspection priority of each inspection point and the reference range of multiple inspection points, and to perform inspection supervision management on the inspection personnel based on the reference range of multiple inspection points and the reference inspection time range of multiple inspection points.

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