Omnibearing visual intelligent automatic control method for intelligent construction site

Abstract

The invention relates to the technical field of intelligent construction sites, in particular to an all-dimensional visual intelligent automatic control method for an intelligent construction site. According to the invention, the identity tag information of the personnel on the construction site is compared with the preset stored information to verify the identity tag information and ensure the reliability of identity verification, and through verification of the safety helmet wearing information and the safety helmet IP information with the safety level, the personnel entering the construction site can be ensured to wear the safety helmets according to requirements, and meanwhile, the safety helmet wearing safety is ensured. The safety helmet IP information and the positioning information of the workers in the construction site are utilized, the positioning information is compared with the authority subareas in real time, the track of the workers in the construction site containing illegal record registration is formed in real time, in addition, the health and safety of the workers in the construction site are monitored, the workers entering the construction site are monitored in an all-around and intelligent mode, and meanwhile the safety of the workers entering the construction site is improved. And construction site personnel can be effectively ensured not to leave the construction site by carrying construction site articles illegally, so that the comprehensive and intelligent monitoring effect on the construction site is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart construction sites, and specifically to a method for all-round visualization intelligent automatic control of a smart construction site. Background Technique

[0002] With the continuous deepening of informatization construction, the management services of construction sites such as airport terminal areas are gradually developing towards intelligence and automation. The personnel situation, construction situation, safety situation, tool situation, special operations, etc. in the construction management system are important components thereof.

[0003] A smart construction site refers to the use of information technology means to achieve visual intelligent management of engineering construction, so as to improve the informatization level of project management and realize green construction and ecological construction.

[0004] In the patent document with the application number "CN202010548648.8" and the name "A Method, System, Intelligent Terminal and Storage Medium for Managing Personnel in a Smart Construction Site", it is recorded that "including obtaining the current positioning information where the current safety helmet is located; judging the area where the current positioning information is located from the pre-set electronic map of the construction site. If it is in the working area, obtain the current wearing information when the current personnel wears the safety helmet, find out the working range, and judge whether the current movement range is consistent with the working range; if the current movement range is inconsistent with the working range or is in a non-working area, obtain the current time and cumulatively obtain the rest duration, find out the prompting intensity, upload and store the prompting intensity and give a prompt according to the prompting intensity. It solves the problem that when the staff gives the wearable device to other personnel with the same work content to carry, detection and planning can still be achieved, which will lead to inaccurate detection. The present invention has the effect of improving detection accuracy".

[0005] Although the method for managing personnel in a smart construction site provided by the above patent document has advantages such as judging the trajectory of personnel, it is relatively insufficient in managing the entry and exit and health status of personnel in a smart construction site, and still needs to be further improved. Based on this, the present invention provides a method for all-round visualization intelligent automatic control of a smart construction site to solve the above-mentioned technical problems. Summary of the Invention

[0006] The object of the present invention is to provide an all-round visual intelligent self-control method for a smart construction site, which uses the identity tag information of construction site personnel to compare with the pre-set stored information to verify the identity tag information, ensuring the reliability of identity verification. And through the verification of the safety helmet wearing information and the safety helmet IP information with a safety level, it can ensure that the personnel entering the construction site wear safety helmets as required. At the same time, using the safety helmet IP information, the positioning information of construction site workers can be visualized, and the positioning information is compared with the permission sub-region in real time to form a real-time trajectory of construction site workers containing violation record registration. In addition, the health and safety of construction site personnel will be monitored, realizing the all-round intelligent monitoring of the personnel entering the construction site. At the same time, it can effectively ensure that construction site personnel do not carry construction site items out of the construction site illegally, achieving the all-round intelligent monitoring effect of the construction site.

[0007] To achieve the above object, the present invention provides the following technical solutions: The present invention provides an all-round visual intelligent self-control method for a smart construction site, including the following steps: S1. Obtain the first information of construction site personnel entering the construction site, and compare each sub-information in the obtained first information with a pre-set data set to obtain the second information with differences; S2. Based on the second information, judge the permission of construction site personnel to enter the construction site, and according to the judgment result, generate an attendance log and control the construction site personnel to enter the construction site. At the same time, construct a visual behavior trajectory of the construction site personnel within the construction area; S3. Obtain the third information of construction site workers leaving the construction site, and compare the obtained third information with the first information of entering the construction site within the corresponding period to determine the permission of the construction site workers to leave the construction site.

[0008] The present invention is further set as follows: In the step S1, the sub-information includes identity tag information, wearing configuration information, health monitoring information, and weight measurement information, where: The identity tag information includes face information, voice information, iris information, and fingerprint information; The wearing configuration information includes safety helmet wearing information and safety helmet IP information with a safety level; The health monitoring information includes alcohol content information, body temperature information, heart rate information, blood pressure information, and respiratory rate information; The weight measurement information includes human body weight information and tool kit weight information.

[0009] The present invention is further set as follows: In the step S1, the process of comparing each sub-information in the obtained first information with a pre-set data set to obtain the second information with differences is: Compare the face information, voice information, iris information, and fingerprint information with a preset dataset respectively to obtain a first difference subset; Compare the safety helmet wearing information and the safety helmet IP information with a safety level with a preset dataset respectively to obtain a second difference subset; Compare the alcohol content information, body temperature information, heart rate information, blood pressure information, and respiratory rate information with a preset dataset respectively to obtain a third difference subset; Compare the body weight information and the tool kit weight information with a preset dataset respectively to obtain a fourth difference subset; Then, form the first difference subset, the second difference subset, the third difference subset, and the fourth difference subset into second information.

[0010] A further setting of the present invention is: in the step S2, the process of determining the permission of the construction site personnel to enter the construction site based on the second information is as follows: If at least two of the face information, voice information, iris information, and fingerprint information are included in the first difference subset, it is determined that entry into the construction site is prohibited, and a first warning is initiated; If at least one of the safety helmet wearing information and the safety helmet IP information with a safety level is included in the second difference subset, it is determined that entry into the construction site is prohibited, and a second warning is initiated; Compare the alcohol content information, body temperature information, heart rate information, blood pressure information, and respiratory rate information in the third difference subset with preset safety thresholds respectively. If at least one comparison result is within the non - safety threshold range, it is determined that entry into the construction site is prohibited, and a third warning is initiated.

[0011] A further setting of the present invention is: in the step S2, the process of generating an attendance log according to the judgment result is as follows: If the first warning, the second warning, and the third warning do not occur, an attendance log is automatically generated according to the identity tag information; Otherwise, manual verification is initiated, and an attendance log is manually generated.

[0012] A further setting of the present invention is: in the step S2, the process of constructing a visual behavior trajectory of the construction site personnel within the construction site area is as follows: Obtain the working area of the construction site, and divide the working area into permission sub - areas according to the obtained permissions of the construction site workers; Visualize the positioning information of the construction site workers according to the safety - leveled safety helmet IP information of the construction site workers, and compare the positioning information with the permission sub - areas in real time to form a trajectory of the construction site workers with violation record registration in real time.

[0013] The further setting of the present invention is that in the step S2, it further includes updating the IP information of the safety helmet with a safety level according to the visualized behavior trajectory information.

[0014] The further setting of the present invention is that in the step S3, the sub-information in the third information includes identity tag information and weight measurement information, where: The identity tag information includes face information, voice information, iris information, and fingerprint information; The weight measurement information includes human body weight information and tool kit weight information.

[0015] The further setting of the present invention is that in the step S3, the process of comparing the obtained third information with the first information of the workers entering the construction site within the corresponding period to determine the permission of the construction site workers to leave the construction site is as follows: If at least two of the face information, voice information, iris information, and fingerprint information are the same, it is determined that the identity verification is passed and the security verification is entered; Compare the human body weight information and tool kit weight information in the third information with the human body weight information and tool kit weight information in the corresponding first information respectively. If both are within the error threshold, the security verification is passed; otherwise, manual verification is started.

[0016] The further setting of the present invention is that in the step S3, it further includes updating the attendance log.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention will compare the identity tag information of the construction site personnel with the preset stored information to verify the identity tag information, ensuring the reliability of identity verification. And through the verification of the safety helmet wearing information and the IP information of the safety helmet with a safety level, it can ensure that the personnel entering the construction site can wear the safety helmet as required. At the same time, the IP information of the safety helmet can be used for further identity verification and subsequent trajectory positioning. In order to further ensure the safety of construction, in addition, it will obtain the alcohol content information, body temperature information, heart rate information, blood pressure information, and respiratory rate information of the construction site personnel to ensure that the construction site personnel are in a healthy and safe physical state for construction, realizing the all-round intelligent monitoring of the personnel entering the construction site. At the same time, it will compare the human body weight information and tool kit weight information of the personnel leaving the construction site with the corresponding human body weight information and tool kit weight information when entering, so as to effectively ensure that the construction site personnel will not leave the construction site with construction items illegally, achieving the comprehensive intelligent monitoring effect of the construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flowchart of a full-range visualization intelligent self-control method for a smart construction site of the present invention. Specific Embodiments

[0019] Next, in combination with the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention. Embodiment

[0020] As Figure 1 shown, this embodiment provides an all-round visual intelligent self-control method for a smart construction site, including the following steps: S1. Obtain the first information of the construction site personnel entering the construction site, and compare each sub-information in the obtained first information with a preset data set to obtain the second information with differences.

[0021] Among them, the sub-information includes identity tag information, wearing configuration information, health monitoring information, and weight measurement information, where: the identity tag information includes face information, voice information, iris information, and fingerprint information; the wearing configuration information includes safety helmet wearing information and safety helmet IP information with a safety level; the health monitoring information includes blood alcohol content information, body temperature information, heart rate information, blood pressure information, and respiratory rate information; the weight measurement information includes human body weight information and tool kit weight information.

[0022] In this embodiment, it should be noted that there will be construction site workers entering the construction site. As an implementation method, when entering the construction site and passing through the turnstile, the identity tag information of the construction site personnel, that is, face information, voice information, iris information, and fingerprint information, will be obtained first, and the obtained information will be compared with the preset stored information. If the four identity verifications are passed and at least two are passed, the verification can be passed to ensure the reliability of the identity verification. And through the verification of the safety helmet wearing information and the safety helmet IP information with a safety level, it can be ensured that the personnel entering the construction site can wear the safety helmet as required. At the same time, the safety helmet IP information can be used for further identity verification and subsequent trajectory positioning. To further ensure the safety of construction, the blood alcohol content information, body temperature information, heart rate information, blood pressure information, and respiratory rate information of the construction site personnel will be obtained to ensure that the construction site personnel carry out construction in a healthy and safe physical state, realizing all-round intelligent monitoring of the personnel entering the construction site.

[0023] In addition, the process of comparing each sub-information in the obtained first information with a preset data set to obtain the second information with differences is as follows: Compare the face information, voice information, iris information, and fingerprint information with a preset data set respectively to obtain a first difference subset; compare the safety helmet wearing information and the safety helmet IP information with a safety level with a preset data set respectively to obtain a second difference subset; compare the alcohol content information, body temperature information, heart rate information, blood pressure information, and breathing rate information with a preset data set respectively to obtain a third difference subset; compare the body weight information and the tool kit weight information with a preset data set respectively to obtain a fourth difference subset; then form the second information from the first difference subset, the second difference subset, the third difference subset, and the fourth difference subset.

[0024] In this embodiment, it should be noted that the management personnel can preset information in advance, including but not limited to the identity tag information, wearing configuration information, health monitoring information, and their control thresholds of the construction site personnel, and store them in the data set. When the construction site personnel enter the construction site, the obtained identity tag information, wearing configuration information, and health monitoring information will be compared with the preset information first to obtain different regional subsets. It should be noted that during the entry and exit cycle of the construction site personnel, the preset body weight information and tool kit weight information are both 0. After entering, the obtained body weight information and tool kit weight information will be stored as subsequent comparison information. This embodiment uses the distinguishable information as the second information for subsequent entry permission judgment.

[0025] S2. Based on the second information, judge the entry permission of the construction site personnel, and according to the judgment result, generate an attendance log and control the entry of the construction site personnel into the construction site. At the same time, construct a visual behavior trajectory of the construction site personnel within the construction area.

[0026] Among them, the process of judging the entry permission of the construction site personnel based on the second information is as follows: If the first difference subset contains at least two of the face information, voice information, iris information, and fingerprint information, it is determined that entry into the construction site is prohibited, and the first warning is initiated; if the second difference subset contains at least one of the safety helmet wearing information and the safety helmet IP information with a safety level, it is determined that entry into the construction site is prohibited, and the second warning is initiated; compare the alcohol content information, body temperature information, heart rate information, blood pressure information, and breathing rate information in the third difference subset with the preset safety thresholds respectively. If at least one comparison result is within the non-safety threshold, it is determined that entry into the construction site is prohibited, and the third warning is initiated.

[0027] In this embodiment, it should be noted that the IP information of the safety helmet corresponds to the corresponding identity tag information. When entering the construction site, the alcohol concentration information, body temperature information, heart rate information, blood pressure information, and respiratory rate information of the construction site personnel will be used and compared with the preset safety thresholds to determine whether the construction site personnel are within the construction safety range, ensuring that the construction site personnel can carry out construction in a healthy and safe physical state.

[0028] In addition, the process of generating the attendance log according to the judgment result is as follows: If there are no first, second, and third warnings, the attendance log will be automatically generated according to the identity tag information; otherwise, manual verification will be initiated and the attendance log will be generated manually.

[0029] Among them, the process of constructing the visual behavior trajectory of the construction site personnel within the construction site area is as follows: Obtain the working area of the construction site and divide the working area into permission sub-areas according to the permissions obtained by the construction site workers; According to the IP information of the safety helmet with a safety level of the construction site workers, visualize the positioning information of the construction site workers, and compare the positioning information with the permission sub-areas in real time to form the trajectory of the construction site workers with violation record registration in real time.

[0030] In addition, it also includes updating the IP information of the safety helmet with a safety level according to the visual behavior trajectory information.

[0031] In this embodiment, it should be noted that as an implementation method, the safety level of the IP information of the safety helmet can be divided into multiple levels, such as four levels. The level is updated according to the violation situation of the construction site personnel. Using the IP information of the safety helmet, visualize the positioning information of the construction site workers, and compare the positioning information with the permission sub-areas in real time to form the trajectory of the construction site workers with violation record registration in real time. In addition, when a violation occurs, it can include, but is not limited to, generating a warning and visually displaying it to notify the management personnel.

[0032] S3. Obtain the third information of the construction site workers leaving the construction site, and compare the obtained third information with the first information of entering the construction site within the corresponding period to determine the permission of the construction site workers to leave the construction site.

[0033] Among them, the sub-information in the third information includes identity tag information and weight measurement information, where: the identity tag information includes face information, voice information, iris information, and fingerprint information; the weight measurement information includes human body weight information and tool kit weight information.

[0034] The process of comparing the obtained third information with the first information of entering the construction site within the corresponding period to determine the permission of the construction site workers to leave the construction site is as follows: If at least two of the face information, voice information, iris information, and fingerprint information are the same, it is determined that the identity verification is passed and the security verification is entered; the body weight information and the tool kit weight information in the third information are respectively compared with the corresponding body weight information and tool kit weight information in the first information. If both are within the error threshold, the security verification is passed; otherwise, manual verification is initiated.

[0035] In addition, it also includes updating the attendance log.

[0036] In this embodiment, it should be noted that on the one hand, the identity tag information of the construction site personnel entering the construction site is used to compare it with the identity tag information of the personnel to leave the construction site, which ensures that the leaving personnel are normal entering personnel and improves the overall security of the construction site. On the other hand, the body weight information and the tool kit weight information in the third information are respectively compared with the corresponding body weight information and tool kit weight information in the first information, so as to effectively ensure that the construction site personnel do not carry construction site items out of the construction site illegally, achieving the monitoring effect of the construction site.

[0037] The present invention uses the identity tag information of the construction site personnel to compare with the preset stored information to verify the identity tag information, ensuring the reliability of the identity verification. And through the verification of the safety helmet wearing information and the safety helmet IP information with a safety level, it can ensure that the personnel entering the construction site can wear the safety helmet as required. At the same time, using the safety helmet IP information, the positioning information of the construction site workers can be visualized, and the positioning information is compared with the permission sub-region in real time to form a real-time trajectory of the construction site workers with violation records registered. In addition, it will also monitor the health and safety of the construction site personnel, realizing the all-round intelligent monitoring of the personnel entering the construction site. At the same time, it can also effectively ensure that the construction site personnel do not carry construction site items out of the construction site illegally, achieving the comprehensive intelligent monitoring effect of the construction site.

[0038] In the description of this specification, the descriptions referring to terms such as "one embodiment", "example", "specific example", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0039] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A smart construction site all-round visualization intelligent automatic control method, characterized in that: The following steps are involved: S1, obtaining first information of construction site personnel entering the construction site, and comparing each sub-information in the obtained first information with a preset data set to obtain second information with differences; S2. Based on the second information, determine the authority of the construction site personnel to enter the construction site, and according to the determination result, generate an attendance log and control the construction site personnel to enter the construction site, and at the same time, construct a visual behavior trajectory of the construction site personnel in the construction site area; S3. Acquire third information of the construction site worker leaving the construction site, and compare the acquired third information with the first information of entering the construction site within a corresponding period to determine the authority of the construction site worker to leave the construction site.

2. According to claim 1, a smart construction site all-round visualization intelligent automatic control method is characterized in that: In step S1, the sub-information includes identity tag information, wearing configuration information, health monitoring information and weight measurement information, wherein: The identity tag information includes face information, voice information, iris information and fingerprint information; The wearing configuration information includes helmet wearing information and helmet IP information with safety level; The health monitoring information includes alcohol content information, body temperature information, heart rate information, blood pressure information and respiratory rate information; The weight measurement information includes human body weight information and tool kit weight information.

3. The method for all-round visualization and intelligent automatic control of a smart construction site according to claim 2 is characterized in that: In step S1, the process of comparing each sub-information in the obtained first information with the preset data set to obtain the second information with differences is: Comparing the face information, the voice information, the iris information and the fingerprint information with the preset data sets respectively to obtain a first distinguishing subset; Compare the helmet wearing information and the helmet IP information with the safety level with the preset data set respectively to obtain a second distinguishing subset; Comparing the alcohol content information, body temperature information, heart rate information, blood pressure information and respiratory rate information with the preset data sets respectively to obtain a third distinguishing subset; Comparing the human body weight information and the tool kit weight information with the preset data sets respectively to obtain a fourth distinguishing subset; Then the first distinct subset, the second distinct subset, the third distinct subset and the fourth distinct subset constitute the second information.

4. The method for all-round visualization and intelligent automatic control of a smart construction site according to claim 3 is characterized in that: In step S2, the process of determining the authority of the construction site personnel to enter the construction site based on the second information is as follows: If the first distinguishing subset contains at least two of the face information, voice information, iris information and fingerprint information, it is determined that entry to the construction site is prohibited and the first warning is initiated; If the second distinguishing subset contains at least one of the helmet wearing information and the helmet IP information with a safety level, it is determined that entry to the construction site is prohibited, and the second warning is initiated; The alcohol content information, body temperature information, heart rate information, blood pressure information and respiratory rate information in the third distinction subset are compared with the preset safety thresholds respectively. If at least one comparison result is within the non-safety threshold, it is determined that entry to the construction site is prohibited and the third warning is activated.

5. The method for all-round visualization and intelligent automatic control of a smart construction site according to claim 4 is characterized in that: In step S2, the process of generating the attendance log according to the judgment result is: If the first, second and third warnings do not appear, an attendance log is automatically generated based on the identity tag information; Otherwise, manual verification is initiated and the attendance log is manually generated.

6. The method for all-round visualization and intelligent automatic control of a smart construction site according to claim 1 is characterized in that: In step S2, the process of constructing the visualized behavior trajectory of the construction site personnel in the construction site area is as follows: Obtain the work area of ​​the construction site and divide the work area into authority sub-areas based on the authority obtained by the workers on the construction site; Based on the IP information of the safety-grade helmets of the construction workers, the location information of the construction workers is visualized, and the location information is compared with the permission sub-area in real time to form the trajectory of the construction workers with registered violation records in real time.

7. The method for all-round visualization and intelligent automatic control of a smart construction site according to claim 1 is characterized in that: In the step S2, it also includes updating the IP information of the helmet with a safety level according to the visualized behavior trajectory information.

8. The method for all-round visualization and intelligent automatic control of a smart construction site according to claim 1 is characterized in that: In step S3, the sub-information in the third information includes identity tag information and weight measurement information, wherein: The identity tag information includes face information, voice information, iris information and fingerprint information; The weight measurement information includes human body weight information and tool kit weight information.

9. The method for all-round visualization and intelligent automatic control of a smart construction site according to claim 8, characterized in that: In step S3, the process of comparing the acquired third information with the first information of entering the construction site within the corresponding period to determine the authority of the construction site worker to leave the construction site is: If at least two of the face information, voice information, iris information and fingerprint information are the same, the identity verification is considered to be successful and security verification will begin; The human body weight information and tool kit weight information in the third information are compared with the corresponding human body weight information and tool kit weight information in the first information respectively. If both are within the error threshold, the security verification is passed; otherwise, manual verification is initiated.

10. The method for all-round visualization and intelligent automatic control of a smart construction site according to claim 1, characterized in that: In the step S3, the attendance log is also updated.

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