Power plant safety supervision method and platform based on BIM

Abstract

The invention relates to the technical field of power plant supervision, and particularly discloses a BIM-based power plant safety supervision method and platform, and the method comprises the steps: obtaining a BIM model of a power plant, and building a three-dimensional power plant model based on the BIM model; operating parameters of equipment are collected, and a risk area with the equipment model as the center is created in the three-dimensional power plant model according to the operating parameters of the equipment; obtaining a position relationship between the human body model and the risk area, and generating prompt information pointing to the human body model according to the position relationship; and acquiring the real-time position of each human body model in a work cycle, and performing work rating on the human body models according to the relationship between the risk area and the real-time position. According to the method, the recognition result of the camera system is counted by means of the BIM model and then displayed, the risk area with a prediction function is introduced in the display process, risk recognition is performed on the staff according to the predicted risk area, the prompt information is generated, and the safety degree of the staff is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant supervision, and specifically to a BIM-based power plant safety supervision method and platform. Background Technique

[0002] As a high-risk industrial site, a power plant involves complex equipment such as boilers, steam turbines, generators, cables, transformers, and high-voltage transmission systems. Most of the existing safety monitoring methods are manual supervision methods relying on camera systems. It is very difficult to grasp the real-time nature of this method, and there is no risk prediction lead. In addition, this manual supervision method relying on camera systems has too high a degree of restoration. If a third party arrives at the monitoring room, the power plant status can be fully known, and the security is insufficient. How to provide a more appropriate supervision solution is the technical problem that the technical solution of the present invention wants to solve. Summary of the Invention

[0003] The purpose of the present invention is to provide a BIM-based power plant safety supervision method and platform to solve the problems raised in the above background technique.

[0004] To achieve the above purpose, the present invention provides the following technical solutions:

[0005] A BIM-based power plant safety supervision method, the method includes:

[0006] Obtain the BIM model of the power plant, and construct a three-dimensional power plant model based on the BIM model; the generation process of the three-dimensional power plant model includes inserting moving part models in the BIM model, and the moving part models at least include equipment models and human body models;

[0007] Collect the operating parameters of the equipment, and create a risk area centered on the equipment model in the three-dimensional power plant model according to the operating parameters of the equipment;

[0008] Obtain the positional relationship between the human body model and the risk area, and generate prompt information pointing to the human body model according to the positional relationship;

[0009] Within a working cycle, obtain the real-time positions of each human body model, and perform a work rating on the human body model according to the relationship between the risk area and the real-time position.

[0010] As a further solution of the present invention: the steps of obtaining the BIM model of the power plant and constructing a three-dimensional power plant model based on the BIM model include:

[0011] Obtain the BIM model of the power plant;

[0012] Query the record-filing positions and equipment models of the equipment, and insert the record-filing positions and equipment models into the BIM model;

[0013] Obtain the power plant video according to the camera system installed in the power plant, identify the power plant video, and determine the personnel distribution information at each moment; the personnel distribution information is a coordinate set of personnel outlines.

[0014] Construct a human body model according to the personnel distribution information and insert it into the BIM model.

[0015] Update the equipment model in the BIM model according to the power plant video; the update targets include the model appearance and the model position.

[0016] As a further solution of the present invention: the steps of collecting the operating parameters of the device and creating a risk area centered on the device model in the three-dimensional power plant model according to the operating parameters of the device include:

[0017] Establish a connection channel with the control end of the device, and obtain the operating parameters of the device based on the connection channel.

[0018] Analyze the operating parameters to determine the operating stability of the device.

[0019] Select an origin in the device, create a virtual sphere based on the origin, and create a spherical uniform sampling ray based on the origin and the virtual sphere.

[0020] Obtain the connection strength of the device in each ray direction, and create a risk area centered on the device model according to the connection strength in each ray direction and the operating stability.

[0021] As a further solution of the present invention: the steps of obtaining the connection strength of the device in each ray direction and creating a risk area centered on the device model according to the connection strength in each ray direction and the operating stability include:

[0022] Obtain all components of the device in a certain ray direction, and query the connection method of adjacent components.

[0023] Query the connection strength corresponding to each connection method, and select the minimum strength among the queried connection strengths.

[0024] Correct the minimum strength according to the operating stability; the corrected minimum strength is directly proportional to the operating stability.

[0025] Determine the initial velocity in the ray direction according to the inverse ratio of the minimum strength; the direction of the initial velocity is the same as the ray direction.

[0026] Simulate the free fall motion based on the initial velocity to obtain the motion trajectory.

[0027] Query the connection node corresponding to the minimum strength, query the volume of the component on the side of the connection node far from the origin, and expand the motion trajectory according to the component volume to obtain a risk sub-region.

[0028] Statistically analyze the risk sub-areas corresponding to each ray direction to obtain the risk areas.

[0029] As a further solution of the present invention, the step of obtaining the positional relationship between the human body model and the risk area and generating prompt information pointing to the human body model according to the positional relationship includes:

[0030] For any human body model, obtain the intersection area between it and each risk area;

[0031] When the intersection area is not empty, calculate the ratio of the intersection area to the human body model;

[0032] Accumulate the ratios corresponding to all risk areas, and when the ratio reaches a preset threshold, generate prompt information;

[0033] Query the receiving end corresponding to the human body model and send the prompt information to the receiving end.

[0034] As a further solution of the present invention, the step of obtaining the real-time positions of each human body model within a working cycle and performing a working rating on the human body model according to the relationship between the risk area and the real-time position includes:

[0035] Within a working cycle, obtain the positions of each human body model at each moment;

[0036] For each moment, determine the influence value of the human body model at the current position based on the risk area;

[0037] For any human body model, determine the working score according to the average distance at each moment as the working rating result; the working score is a positive evaluation index;

[0038] The calculation process of the influence value is as follows:

[0039] In the formula, I t represents the influence value of the human body model at time t, N represents the total number of risk areas, V i1 represents the volume of the i-th risk area, V i0 represents the volume of the equipment model corresponding to the i-th risk area; d i represents the distance between the i-th risk area and the human body model;

[0040] The determination process of the working score is as follows:

[0041] In the formula, F represents the working score of the human body model, t1 represents the current moment, T represents the preset time length, and A is a preset constant.

[0042] The technical solution of the present invention also provides a BIM-based power plant safety supervision platform, and the platform includes:

[0043] A 3D model construction module, configured to obtain the BIM model of a power plant and construct a 3D power plant model based on the BIM model; the generation process of the 3D power plant model includes inserting moving part models into the BIM model, and the moving part models at least include equipment models and human body models;

[0044] A risk area creation module, configured to collect the operating parameters of equipment and create a risk area centered on the equipment model in the 3D power plant model according to the operating parameters of the equipment;

[0045] A prompt information generation module, configured to obtain the positional relationship between the human body model and the risk area and generate prompt information pointing to the human body model according to the positional relationship;

[0046] A work rating module, configured to obtain the real-time positions of each human body model within a work cycle and rate the human body models according to the relationship between the risk area and the real-time positions.

[0047] As a further solution of the present invention: the 3D model construction module includes:

[0048] A model acquisition unit, configured to obtain the BIM model of the power plant;

[0049] An equipment model insertion unit, configured to query the record-filing position and the equipment model of the equipment and insert the record-filing position and the equipment model into the BIM model;

[0050] A video recognition unit, configured to obtain a power plant video according to a camera system installed in the power plant, recognize the power plant video, and determine the personnel distribution information at each moment; the personnel distribution information is a coordinate set of personnel outlines;

[0051] A human body model insertion unit, configured to construct a human body model according to the personnel distribution information and insert it into the BIM model;

[0052] A model update unit, configured to update the equipment model in the BIM model according to the power plant video; the update targets include the model appearance and the model position.

[0053] As a further solution of the present invention: the risk area creation module includes:

[0054] An operating parameter acquisition unit, configured to establish a connection channel with the control end of the equipment and obtain the operating parameters of the equipment based on the connection channel;

[0055] A stability determination unit, configured to analyze the operating parameters and determine the operating stability of the equipment;

[0056] A ray generation unit, configured to select an origin point in the device, create a virtual sphere based on the origin point, and create uniformly sampled spherical rays based on the origin point and the virtual sphere;

[0057] A creation execution unit, configured to obtain the connection strength of the device in each ray direction, and create a risk area centered on the device model according to the connection strength and running stability in each ray direction.

[0058] As a further solution of the present invention: The prompt information generation module includes:

[0059] An intersection acquisition unit, configured to, for any human body model, obtain the intersection area between it and each risk area;

[0060] A ratio calculation unit, configured to calculate the ratio of the intersection area to the human body model when the intersection area is not empty;

[0061] A generation execution unit, configured to accumulate the ratios corresponding to all risk areas, and generate prompt information when the ratio reaches a preset threshold;

[0062] An information sending unit, configured to query the receiving end corresponding to the human body model, and send the prompt information to the receiving end.

[0063] As a further solution of the present invention: The work rating module includes:

[0064] A position acquisition unit, configured to obtain the positions of each human body model at each moment within a working cycle;

[0065] An influence value determination unit, configured to, for each moment, determine the influence value of the human body model at the current position based on the risk area;

[0066] A work score determination unit, configured to, for any human body model, determine the work score according to its average distance at each moment as the work rating result; the work score is a positive evaluation index;

[0067] The calculation process of the influence value is as follows:

[0068] In the formula, I t represents the influence value of the human body model at time t, N represents the total number of risk areas, V i1 represents the volume of the i-th risk area, V i0 represents the volume of the device model corresponding to the i-th risk area; d i represents the distance between the i-th risk area and the human body model;

[0069] The determination process of the work score is as follows:

[0070] In the formula, F represents the working score of the human model, t1 represents the current moment, T represents the preset time length, and A is a preset constant.

[0071] Compared with the prior art, the beneficial effects of the present invention are as follows: By means of the BIM model, the recognition results of the camera system are statistically analyzed and then displayed. During the display process, a risk area with a prediction function is introduced. According to the predicted risk area, risk recognition is carried out on the staff, and a prompt message is generated to improve the safety level of the staff. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0073] Figure 1 It is a flowchart of a power plant safety supervision method based on BIM.

[0074] Figure 2 It is the first sub-flowchart of a power plant safety supervision method based on BIM.

[0075] Figure 3 It is the second sub-flowchart of a power plant safety supervision method based on BIM.

[0076] Figure 4 It is the third sub-flowchart of a power plant safety supervision method based on BIM.

[0077] Figure 5 It is the fourth sub-flowchart of a power plant safety supervision method based on BIM.

[0078] Figure 6 It is a block diagram of the composition structure of a power plant safety supervision system based on BIM. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0079] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the following further details the present invention in conjunction with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0080] Figure 1 It is a flowchart of a power plant safety supervision method based on BIM. In an embodiment of the present invention, a power plant safety supervision method based on BIM, the method includes:

[0081] Step S100: Obtain the BIM model of the power plant and construct a 3D power plant model based on the BIM model; the generation process of the 3D power plant model includes inserting moving part models into the BIM model, and the moving part models at least include equipment models and human body models;

[0082] This application is applied to power plants. During the design stage of a power plant, a BIM model will be established. The full name of the BIM model is Building Information Model, which at least includes a 3D building model. Based on the BIM model of the power plant, some equipment models are inserted into it to obtain a 3D power plant model. The BIM model represents the original state of the power plant, and the 3D power plant model represents the actual state after the power plant is put into use; specifically, when generating the 3D power plant model in this application, in addition to inserting equipment models, human body models will also be inserted to represent the personnel distribution. The equipment models and the human body models are collectively referred to as moving part models.

[0083] Step S200: Collect the operating parameters of the equipment and create a risk area centered on the equipment model in the 3D power plant model according to the operating parameters of the equipment;

[0084] In this application, the equipment involved is default installed with a device master end. The device master end is an information integrator installed in the equipment and is used to count the monitoring data of the sensors in the equipment. Many existing devices have information integrators, and even household devices such as refrigerators and washing machines have information integrators. Therefore, this application defaults that each device is installed with a device master end. This default is not abrupt, but this is the actual situation.

[0085] Establish a connection channel with the device master end. Through the device master end, the operating parameters of the equipment can be obtained. By analyzing the operating parameters, the stability of the equipment can be determined, and the equipment model in the 3D power plant model can be updated according to the determination result of the stability; among them, the update method provided in this application is to expand an area based on the equipment model, which is called a risk area.

[0086] Step S300: Obtain the positional relationship between the human body model and the risk area and generate a prompt message pointing to the human body model according to the positional relationship;

[0087] The risk area represents the possible impact of the equipment. Once a problem occurs, the scope of the impact is the risk area; the human body model in this application is obtained in real time. After obtaining the human body model, the human body model is compared with the risk area. The human body model corresponds to the staff, and the comparison result reflects whether the staff may be exposed to the risk scenario. Therefore, a prompt message can be generated to remind the staff to stay away from the risk area.

[0088] Step S400: within a working cycle, the real-time position of each human body model is obtained, and the working rating of the human body model is performed according to the relationship between the risk area and the real-time position;

[0089] In a working cycle, the position of each human body model at each moment is obtained, which is called the real-time position. The working cycle is generally eight hours. Therefore, the real-time position obtained is actually the position of each human body model at each moment in eight hours. The relationship between each human body model and the position at each moment can be used to evaluate the human body model, that is, each user. If a staff member is active near equipment with a smaller risk area all year round, then on the one hand, it can be considered that he has a better sense of safety, and on the other hand, it can also be considered that his work is relatively outstanding because the equipment near him is in a safe state. Therefore, in addition to the above-mentioned actual risk warning function, the staff can also be rated.

[0090] Figure 2 The first sub-process flowchart of the BIM-based power plant safety supervision method is shown in FIG. The steps of obtaining the BIM model of the power plant and constructing a three-dimensional power plant model based on the BIM model include:

[0091] Step S101: Obtaining a BIM model of a power plant;

[0092] Step S102: querying the filing location and equipment model of the equipment, and inserting the filing location and equipment model into the BIM model;

[0093] Step S103: acquiring a power plant video according to a camera system installed in the power plant, identifying the power plant video, and determining personnel distribution information at each moment; the personnel distribution information is a coordinate set of personnel outlines;

[0094] Step S104: construct a human body model according to the personnel distribution information and insert it into the BIM model;

[0095] Step S105: updating the equipment model in the BIM model according to the power plant video; the update targets include the model shape and the model position.

[0096] In an example of the technical solution of the present invention, the construction process of the 3D power plant model is described. The BIM model of the power plant belongs to known data and can be directly obtained. The equipment installed in the power plant needs to be pre-filed, and the filing location and equipment model will be recorded during filing. When creating the 3D power plant model, query the filing location and equipment model of the equipment, and insert the filing location and equipment model into the BIM model. Further, obtain the power plant video according to the camera system installed in the power plant, and identify the power plant video to determine the personnel distribution information at each moment. The personnel distribution information is a coordinate set of personnel outlines; according to the scale of the BIM model, convert the personnel distribution information into a human body model and insert it into the BIM model; on this basis, identify the power plant video to determine whether the equipment has been updated at each moment. If it has been updated, the equipment model in the BIM model also needs to be updated.

[0097] It is worth mentioning that the 3D power plant model constructed in this application contains time tags, and the time tags adopt the time when the power plant video is identified. For example, when the power plant video is identified at time t, a human body model and an updated equipment model are obtained. After inserting them into the BIM model, the 3D power plant model at time t is obtained.

[0098] Figure 3 For the second sub-process block diagram of the power plant safety supervision method based on BIM, the steps of collecting the operating parameters of the equipment and creating a risk area centered on the equipment model in the 3D power plant model according to the operating parameters of the equipment include:

[0099] Step S201: Establish a connection channel with the control end of the equipment, and obtain the operating parameters of the equipment based on the connection channel;

[0100] Step S202: Analyze the operating parameters to determine the operating stability of the equipment;

[0101] Step S203: Select an origin in the equipment, create a virtual sphere based on the origin, and create uniformly sampled rays on the spherical surface based on the origin and the virtual sphere;

[0102] Step S204: Obtain the connection strength of the equipment in each ray direction, and create a risk area centered on the equipment model according to the connection strength in each ray direction and the operating stability.

[0103] In an example of the technical solution of the present invention, the generation process of the risk area is described. A connection channel with the control end of the device is established, and the operating parameters of the device are obtained based on the connection channel. The control end is the master control end in the device. The operating parameters are analyzed to determine the operating stability of the device. There are many ways to analyze the operating parameters and evaluate the operating stability. For example, calculate the standard deviation of the operating parameters and determine the operating stability according to the inverse of the standard deviation. Another example is to calculate whether the operating parameters exceed the preset range and determine the operating stability according to the inverse of the number of operating parameters that exceed the range. These are all common stability analysis schemes and will not be elaborated in this application.

[0104] Further, an origin is selected in the device, a virtual sphere is created based on the origin, and a spherical uniform sampling ray is created based on the origin and the virtual sphere. The spherical uniform sampling ray is a ray pointing from the origin to the spherical surface, and can be obtained by selecting an end point on the spherical surface and connecting the origin and the end point. The process of selecting the end point on the spherical surface is not complicated, and points can be selected at intervals in longitude and latitude according to the preset step size.

[0105] Finally, the connection strength of the device in each ray direction is obtained, and a risk area centered on the device model is created according to the connection strength in each ray direction and the operating stability. This process is to judge in which direction the device will disperse, and then determine the extension length in each direction to obtain the extended device points, and fit all the device points to obtain the risk area.

[0106] As a preferred embodiment of the technical solution of the present invention, the steps of obtaining the connection strength of the device in each ray direction and creating a risk area centered on the device model according to the connection strength in each ray direction and the operating stability include:

[0107] Obtain all components of the device in a certain ray direction and query the connection methods of adjacent components;

[0108] Query the connection strength corresponding to each connection method and select the minimum strength among the queried connection strengths;

[0109] Correct the minimum strength according to the operating stability; the corrected minimum strength is proportional to the operating stability;

[0110] Determine the initial velocity in this ray direction according to the inverse of the minimum strength; the direction of the initial velocity is the same as the ray direction;

[0111] Simulate the free-fall motion based on the initial velocity to obtain the motion trajectory;

[0112] Query the connection node corresponding to the minimum strength, query the volume of the component on the side of the connection node away from the origin, and expand the motion trajectory according to the component volume to obtain a risk sub-region;

[0113] Statistically analyze the risk sub - regions corresponding to each ray direction to obtain the risk area.

[0114] In an example of the technical solution of the present invention, all components of the device in a certain ray direction are obtained, the connection methods of adjacent components are queried, and the connection strength corresponding to each connection method is queried. The corresponding relationship between the connection method and the connection strength is a preset known relationship. In the same ray direction, there are multiple adjacent components. The minimum strength is selected from the queried connection strengths as the most unstable connection strength.

[0115] Furthermore, the minimum strength is corrected according to the operation stability. The greater the operation stability, the less likely the device is to have problems. At this time, the minimum strength is amplified. On the contrary, the smaller the operation stability, the more likely the device is to have problems. At this time, the minimum strength is reduced. In short, the corrected minimum strength is proportional to the operation stability.

[0116] Specifically, assuming that the two most unstable adjacent parts have problems, the initial velocity in this ray direction is determined according to the inverse ratio of the minimum strength; the initial velocity is a vector, and its direction is the same as the ray direction. Based on the initial velocity, a free - fall motion is simulated to obtain the motion trajectory. The simulation process is a simple oblique - throw motion, and air resistance is not considered in this application; since the motion trajectory is a three - dimensional curve, the connection node corresponding to the minimum strength is queried, and the volume of the component on the side of the connection node far from the origin is queried. The motion trajectory is extended according to the component volume to obtain the risk sub - region. The risk sub - region is the set of regions passed by the component volume moving along the motion trajectory.

[0117] Finally, each ray direction corresponds to a risk sub - region. Statistically analyze the risk sub - regions corresponding to each ray direction and calculate the union to obtain the risk area.

[0118] Figure 4 It is the third sub - process block diagram of the power plant safety supervision method based on BIM. The steps of obtaining the position relationship between the human body model and the risk area and generating prompt information pointing to the human body model according to the position relationship include:

[0119] Step S301: For any human body model, obtain the intersection area between it and each risk area;

[0120] Step S302: When the intersection area is not empty, calculate the ratio of the intersection area to the human body model;

[0121] Step S303: Accumulate the ratios corresponding to all risk areas. When the ratio reaches a preset threshold, generate prompt information;

[0122] Step S304: Query the receiving end corresponding to the human body model and send the prompt information to the receiving end.

[0123] In an example of the technical solution of the present invention, for each staff member, query the corresponding human model, and obtain the intersection area between the human model and each risk area in real time. When there is an intersection area, it indicates that the staff member has moved to a position where there may be risks, and the larger the intersection area, the higher the risk level. Specifically, in the way of judging the size of the intersection area, the present application adopts a ratio method, accumulates the ratios corresponding to all risk areas, and when the ratio is large enough, that is, when the ratio reaches a preset threshold, a prompt message is generated, and the receiving end corresponding to the human model is queried. The receiving end is generally a smart phone carried by the staff member, etc., and is used to receive the prompt message.

[0124] Figure 5 It is the fourth sub-process block diagram of the power plant safety supervision method based on BIM. The steps of obtaining the real-time positions of each human model within one working cycle and performing a work rating on the human model according to the relationship between the risk area and the real-time position include:

[0125] Step S401: Within one working cycle, obtain the positions of each human model at each moment;

[0126] Step S402: For each moment, determine the influence value of the human model at the current position based on the risk area;

[0127] Step S403: For any human model, determine the work score according to the influence values at each of its moments as the work rating result; the work score is a positive evaluation index;

[0128] In an example of the technical solution of the present invention, within one working cycle, obtain the positions of each human model at each moment. For each moment, count the influence of all risk areas on the position of the human model at that moment, which is represented by the influence value. Thus, the influence values of each human model at all moments are obtained, and the work score is determined according to the influence values at all moments as the work rating result.

[0129] The calculation process of the influence value is as follows:

[0130] In the formula, I t represents the influence value of the human model at time t, N represents the total number of risk areas, V i1 represents the volume of the i-th risk area, V i0 represents the volume of the equipment model corresponding to the i-th risk area; d i represents the distance between the i-th risk area and the human model.

[0131] The calculation process of the influence value is not complicated. The key is to calculate the volume ratio between each risk area and the corresponding equipment model. The larger the volume ratio, the greater the expansion of the risk area, the more dangerous the corresponding equipment, and correspondingly Item; further, for a certain risk area, the farther the distance between the risk area and the human body model, the smaller the impact on the human body model, corresponding to d i Item; in addition, The degree of influence of Item is greater than that of d i The degree of influence of Item, therefore, in Item composes an exponential function; finally, the impacts of all risk areas on the human body model are statistically analyzed to obtain the final impact value.

[0132] The determination process of the work score is as follows:

[0133] In the formula, F represents the work score of the human body model, t1 represents the current moment, T represents the preset time length, and A is a preset constant.

[0134] The determination process of the work score is simpler, and it is only necessary to accumulate the impact values within the preset time range; it is worth mentioning that The value of Item is generally greater than one, which also means that its reciprocal is within the range of zero to one. At this time, the actual meaning of A is the value range of the work score, which can also be understood as the maximum value, and the value range is from zero to the maximum value.

[0135] Figure 6 As shown in the block diagram of the composition structure of the power plant safety supervision system based on BIM, in the embodiment of the present invention, a power plant safety supervision platform based on BIM, the platform 10 includes:

[0136] A three-dimensional model construction module 11, configured to obtain the BIM model of the power plant and construct a three-dimensional power plant model based on the BIM model; the generation process of the three-dimensional power plant model includes inserting a moving part model into the BIM model, and the moving part model at least includes an equipment model and a human body model;

[0137] A risk area creation module 12, configured to collect the operation parameters of the equipment and create a risk area centered on the equipment model in the three-dimensional power plant model according to the operation parameters of the equipment;

[0138] A prompt information generation module 13, configured to obtain the positional relationship between the human body model and the risk area and generate prompt information pointing to the human body model according to the positional relationship;

[0139] A work rating module 14, configured to obtain the real-time positions of each human body model within a work cycle and rate the human body model according to the relationship between the risk area and the real-time position.

[0140] Further, the three-dimensional model construction module 11 includes:

[0141] A model acquisition unit, configured to obtain the BIM model of the power plant;

[0142] The device model insertion unit is used to query the filing location and device model of the device, and insert the filing location and device model into the BIM model;

[0143] The video recognition unit is used to obtain the power plant video according to the camera system installed in the power plant, recognize the power plant video, and determine the personnel distribution information at each moment; the personnel distribution information is a coordinate set of personnel outlines;

[0144] The human body model insertion unit is used to construct a human body model according to the personnel distribution information and insert it into the BIM model;

[0145] The model update unit is used to update the device model in the BIM model according to the power plant video; the update targets include the model shape and model position.

[0146] Specifically, the risk area creation module 12 includes:

[0147] The operating parameter acquisition unit is used to establish a connection channel with the control end of the device and acquire the operating parameters of the device based on the connection channel;

[0148] The stability determination unit is used to analyze the operating parameters and determine the operating stability of the device;

[0149] The ray generation unit is used to select an origin in the device, create a virtual sphere based on the origin, and create a spherical uniform sampling ray based on the origin and the virtual sphere;

[0150] The creation execution unit is used to obtain the connection strength of the device in each ray direction, and create a risk area centered on the device model according to the connection strength in each ray direction and the operating stability.

[0151] Furthermore, the prompt information generation module 13 includes:

[0152] The intersection acquisition unit is used to obtain the intersection area of any human body model with each risk area;

[0153] The ratio calculation unit is used to calculate the ratio of the intersection area to the human body model when the intersection area is not empty;

[0154] The generation execution unit is used to accumulate the ratios corresponding to all risk areas, and generate prompt information when the ratio reaches a preset threshold;

[0155] The information sending unit is used to query the receiving end corresponding to the human body model and send the prompt information to the receiving end.

[0156] In addition, the work rating module 14 includes:

[0157] A position acquisition unit, configured to acquire the positions of each human body model at each moment within one working cycle;

[0158] An influence value determination unit, configured to determine, for each moment, the influence value of the human body model at the current position based on the risk area;

[0159] A work score determination unit, configured to determine, for any human body model, the work score according to the average distance at each moment as the work rating result; the work score is a positive evaluation index;

[0160] The calculation process of the influence value is as follows:

[0161] In the formula, I t represents the influence value of the human body model at time t, N represents the total number of risk areas, V i1 represents the volume of the i-th risk area, V i0 represents the volume of the equipment model corresponding to the i-th risk area; d i represents the distance between the i-th risk area and the human body model;

[0162] The determination process of the work score is as follows:

[0163] In the formula, F represents the work score of the human body model, t1 represents the current moment, T represents the preset time length, and A is a preset constant.

[0164] The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A BIM-based power plant safety supervision method, characterized in that, The method includes: Obtaining the BIM model of a power plant and constructing a 3D power plant model based on the BIM model; the generation process of the 3D power plant model includes inserting moving part models into the BIM model, and the moving part models at least include equipment models and human body models; Collecting the operating parameters of equipment and creating a risk area centered on the equipment model in the 3D power plant model according to the operating parameters of the equipment; Obtaining the positional relationship between the human body model and the risk area and generating prompt information pointing to the human body model according to the positional relationship; Within one working cycle, obtaining the real-time positions of each human body model and performing a work rating on the human body models according to the relationship between the risk area and the real-time positions.

2. The BIM-based power plant safety supervision method according to claim 1, wherein The steps of obtaining the BIM model of a power plant and constructing a 3D power plant model based on the BIM model include: Obtaining the BIM model of a power plant; Querying the record-filing positions and equipment models of equipment and inserting the record-filing positions and equipment models into the BIM model; Obtaining the power plant video according to the camera system installed in the power plant, identifying the power plant video, and determining the personnel distribution information at each moment; the personnel distribution information is a coordinate set of personnel outlines; Constructing a human body model according to the personnel distribution information and inserting it into the BIM model; Updating the equipment models in the BIM model according to the power plant video; the update targets include the model appearance and the model position.

3. The BIM-based power plant safety supervision method according to claim 1, characterized in that The steps of collecting the operating parameters of equipment and creating a risk area centered on the equipment model in the 3D power plant model according to the operating parameters of the equipment include: Establishing a connection channel with the control end of the equipment and obtaining the operating parameters of the equipment based on the connection channel; Analyzing the operating parameters to determine the operating stability of the equipment; Selecting an origin in the equipment, creating a virtual sphere based on the origin, and creating a spherical uniform sampling ray based on the origin and the virtual sphere; Obtaining the connection strength of the equipment in each ray direction and creating a risk area centered on the equipment model according to the connection strength in each ray direction and the operating stability.

4. The BIM-based power plant safety supervision method according to claim 3, wherein The steps of obtaining the connection strength of the equipment in each ray direction and creating a risk area centered on the equipment model according to the connection strength in each ray direction and the operating stability include: Obtaining all components of the equipment in a certain ray direction and querying the connection methods of adjacent components; Querying the connection strength corresponding to each connection method and selecting the minimum strength among the queried connection strengths; Correcting the minimum strength according to the operating stability; the corrected minimum strength is directly proportional to the operating stability; Determining the initial velocity in the ray direction according to the inverse ratio of the minimum strength; the direction of the initial velocity is the same as the ray direction; Simulating a free-fall motion based on the initial velocity to obtain a motion trajectory; Querying the connection node corresponding to the minimum strength, querying the volume of the component on the side of the connection node far from the origin, and expanding the motion trajectory according to the component volume to obtain a risk sub-region; Counting the risk sub-regions corresponding to each ray direction to obtain a risk area.

5. The BIM-based power plant safety supervision method according to claim 1, wherein The steps of obtaining the positional relationship between the human body model and the risk area and generating prompt information pointing to the human body model according to the positional relationship include: For any human body model, obtaining its intersection area with each risk area; When the intersection area is not empty, calculate the ratio of the intersection area to the human body model; Accumulate the ratios corresponding to all risk areas. When the ratio reaches a preset threshold, generate a prompt message; Query the receiving end corresponding to the human body model, and send the prompt message to the receiving end.

6. The BIM-based power plant safety supervision method according to claim 1, characterized in that The step of obtaining the real-time positions of each human body model within one working cycle and performing a work rating on the human body model according to the relationship between the risk area and the real-time position includes: Within one working cycle, obtain the positions of each human body model at each moment; For each moment, determine the influence value of the human body model at the current position based on the risk area; For any human body model, determine the work score according to the average distance at each of its moments as the work rating result; the work score is a positive evaluation index; The calculation process of the influence value is as follows: Where, I t represents the influence value of the mannequin at time t, N represents the total number of risk areas, V i1 represents the volume of the i-th risk area, V i0 represents the volume of the equipment model corresponding to the i-th risk area; d i represents the distance between the i-th risk area and the mannequin; The determination process of the work score is as follows: In the formula, F represents the working score of the human model, t1 represents the current moment, T represents the preset time length, and A is a preset constant.

7. A BIM-based power plant safety supervision platform, characterized in that, The platform includes: A three-dimensional model construction module for obtaining the BIM model of the power plant and constructing a three-dimensional power plant model based on the BIM model; the generation process of the three-dimensional power plant model includes inserting a moving part model into the BIM model, and the moving part model at least includes an equipment model and a human body model; A risk area creation module for collecting the operating parameters of the equipment and creating a risk area centered on the equipment model in the three-dimensional power plant model according to the operating parameters of the equipment; A prompt message generation module for obtaining the position relationship between the human body model and the risk area and generating a prompt message pointing to the human body model according to the position relationship; A work rating module for obtaining the real-time positions of each human body model within one working cycle and performing a work rating on the human body model according to the relationship between the risk area and the real-time position.

8. The BIM-based power plant safety supervision platform according to claim 7, characterized in that, The three-dimensional model construction module includes: A model acquisition unit for obtaining the BIM model of the power plant; An equipment model insertion unit for querying the filing position and equipment model of the equipment and inserting the filing position and equipment model into the BIM model; A video recognition unit for obtaining the power plant video according to the camera system installed in the power plant, recognizing the power plant video, and determining the personnel distribution information at each moment; the personnel distribution information is a coordinate set of the personnel contour; A human body model insertion unit for constructing a human body model according to the personnel distribution information and inserting it into the BIM model; A model update unit for updating the equipment model in the BIM model according to the power plant video; the update targets include the model appearance and model position.

9. The BIM-based power plant safety supervision platform according to claim 7, characterized in that The risk area creation module includes: An operating parameter acquisition unit for establishing a connection channel with the control end of the equipment and acquiring the operating parameters of the equipment based on the connection channel; A stability determination unit for analyzing the operating parameters and determining the operating stability of the equipment; A ray generation unit for selecting an origin in the equipment, creating a virtual sphere based on the origin, and creating a spherical uniform sampling ray based on the origin and the virtual sphere; A creation execution unit for obtaining the connection strength of the equipment in each ray direction and creating a risk area centered on the equipment model according to the connection strength in each ray direction and the operating stability.

10. The BIM-based power plant safety supervision platform according to claim 7, characterized in that, The prompt message generation module includes: An intersection acquisition unit for obtaining the intersection area between any human body model and each risk area; A ratio calculation unit for calculating the ratio of the intersection area to the human body model when the intersection area is not empty; A generation execution unit for accumulating the ratios corresponding to all risk areas and generating a prompt message when the ratio reaches a preset threshold; An information sending unit for querying the receiving end corresponding to the human body model and sending the prompt message to the receiving end.

11. The BIM-based power plant safety supervision platform according to claim 7, characterized in that, The work rating module includes: A position acquisition unit for acquiring the positions of each human body model at each moment within one work cycle; An influence value determination unit for determining the influence value of the human body model at the current position based on the risk area at each moment; A work score determination unit for determining, for any human body model, the work score based on its average distance at each moment as the work rating result; the work score is a positive evaluation index; The calculation process of the influence value is: where I t represents the influence value of the human body model at time t, N represents the total number of risk areas, and V i1 represents the volume of the i-th risk area, and V i0 represents the volume of the equipment model corresponding to the i-th risk area; d i represents the distance between the i-th risk area and the human body model; The determination process of the work score is: In the formula, F represents the working score of the human model, t1 represents the current moment, T represents the preset time length, and A is a preset constant.

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