Hydropower station closed area comprehensive management system and control method

Abstract

The invention relates to the technical field of digital intelligent information management, in particular to a hydropower station closed area comprehensive management system and a control method, which mainly comprises the following steps: acquiring a vehicle basic image, identifying a vehicle appearance image and a license plate number of the vehicle basic image, establishing a management center database, judging a list of a vehicle corresponding to a current license plate, and if yes, judging the list of the vehicle corresponding to the current license plate; through the above method, a set of intelligent vehicle comprehensive management and control system integrating online checking and releasing functions is constructed, through optimizing and transforming each piece of control sentry vehicle barrier gate equipment in a closed area, the license plate of a passing vehicle is identified, and the identified image is intelligently analyzed. The problem of low informatization degree of traditional infrastructures is solved, the problem of paper passing procedure handling is avoided, whether the current vehicle can be released or not is quickly judged through the traffic credit score model, and the working efficiency of the whole system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of digital information management, and in particular to a comprehensive management system and control method for closed areas of a hydropower station. Background Art

[0002] Closed management means that the total area occupied by the project construction is used as the management unit. Within the site, isolation bodies such as duty booths and vehicle blockers are used to separate the project's ancillary land from the outside world. Human control and management are adopted over the activities of people and vehicles in the management area to create a stable construction environment for the project.

[0003] At present, large hydropower station construction areas usually adopt a closed management model. However, the traditional closed area road traffic management has problems such as low infrastructure informatization, low efficiency of paper-based traffic procedures, and low traffic efficiency caused by manual inspection, which is not conducive to providing a good construction environment for engineering construction. Summary of the invention

[0004] The purpose of the present invention is to provide a comprehensive management system and control method for closed areas of a hydropower station to solve the above-mentioned problems in the prior art.

[0005] The present invention is achieved through the following technical solutions:

[0006] In a first aspect, the present invention provides a control method for a closed area integrated management system of a hydropower station, comprising:

[0007] Acquire a basic vehicle image, identify a vehicle appearance image and a license plate number of the basic vehicle image, and establish a management center database, wherein the management center database includes basic vehicle information, a blacklist, a whitelist, and a traffic credit pending judgment list;

[0008] Determine whether the license plate number is in the basic vehicle information in the management center database. If so, obtain the comparison vehicle appearance image corresponding to the current license plate number. If not, do not open the gate system.

[0009] Determine whether the current vehicle appearance image is consistent with the reference vehicle appearance image. If not, the gate system will not be opened. If consistent, determine the list of vehicles corresponding to the current license plate.

[0010] If the vehicle type corresponding to the current license plate is on the white list, the barrier system will be opened; if the vehicle type corresponding to the current license plate is on the black list, the barrier system will not be opened;

[0011] If the type of vehicle corresponding to the current license plate is on the waiting list, the basic driving information of the current vehicle is obtained, and a traffic credit score model is established, and a score threshold is set;

[0012] The score of the current vehicle is obtained through the basic driving information of the current vehicle and the traffic credit score model. If the score is compared with the score threshold, a command to open the gate system or not to open the gate system is issued.

[0013] Preferably, identifying the current license plate number includes:

[0014] Positioning and cropping the license plate to obtain a license plate image, preprocessing the license plate image, and outputting a first image;

[0015] Perform character segmentation on the first image, perform license plate recognition on the first image after character segmentation, and output the recognition result.

[0016] Preferably, the positioning and tailoring includes:

[0017] The size function is used to obtain the number of rows, columns and RGB layers of the matrix, the double function is used to convert the data into double precision, and the threshlow instruction is used to determine the threshold quality factor that determines the quality of the image;

[0018] Create a vector with y rows and 1 column. If it is a color pixel that meets the license plate attributes, mark it on the vector and count the blue pixels to find the area that meets the RGB components of the license plate. Complete positioning and cropping and output the license plate image.

[0019] Preferably, the preprocessing of the license plate image includes:

[0020] Graying the license plate image to obtain a grayed image, and performing noise reduction on the grayed image to obtain a second image;

[0021] The second image is tilt-corrected, converted into a binary image, and the H-shaped connection is disconnected, small objects are removed, and morphological processing such as opening operation is performed to obtain the first image.

[0022] Preferably, the tilt correction comprises:

[0023] Use the edge function to detect the edge and get the edge of the upper and lower parallel lines;

[0024] Perform radon transform and calculate the tilt angle. After obtaining the tilt angle, use the rotation function imrotate, input the image name and tilt angle, use the two-line method, output the image of the same size, and obtain the corrected image.

[0025] Preferably, the grayscale processing includes:

[0026]

[0027] Where Gray is the image after grayscale processing, R is the brightness value of the red channel, G is the brightness value of the green channel, and B is the brightness value of the blue channel.

[0028] Preferably, the traffic credit score model includes:

[0029]

[0030] In the formula, is a fraction, G a is the current vehicle mass, O α is the distance traveled by the current vehicle from the previous sentry post to the current sentry post, is the average speed of the vehicle, C β is the number of times the vehicle exceeds the speed limit, T is the data collection period, λ is the calculation coefficient, when the vehicle is a commercial vehicle, λ=0.5, when the vehicle is a passenger car, λ=1, G b is the load mass of the vehicle, ε is the number of people the vehicle can carry, and ξ is the number of axles of the current vehicle.

[0031] Preferably, the score threshold includes:

[0032]

[0033] If the current score is less than or equal to the score threshold, the gate system will not be opened. If the current score is greater than the score threshold, the gate system will be opened.

[0034] Preferably, it also includes:

[0035] Get the number of times the current score is less than or equal to the score threshold, and set the number threshold. If the number is less than or equal to the number threshold, change the list to which the current vehicle belongs to to the whitelist;

[0036] If the number of times is greater than the threshold, the list to which the current vehicle belongs is changed to the blacklist.

[0037] In a second aspect, the present invention further provides a comprehensive management system for closed areas of a hydropower station, characterized in that it includes:

[0038] The vehicle identification module is configured to obtain a basic vehicle image, identify a vehicle appearance image and a license plate number of the basic vehicle image, and establish a management center database, wherein the management center database includes basic vehicle information, a blacklist, a whitelist, and a traffic credit waiting list; determine whether the license plate number is in the basic vehicle information of the management center database, and if so, obtain a reference vehicle appearance image corresponding to the current license plate number; if not, do not open the gate system; determine whether the current vehicle appearance image is consistent with the reference vehicle appearance image, and if not, do not open the gate system; if consistent, determine the list to which the vehicle corresponding to the current license plate belongs;

[0039] The barrier control module is configured to open the barrier system if the type of vehicle corresponding to the current license plate is a vehicle in the white list, and not open the barrier system if the type of vehicle corresponding to the current license plate is a vehicle in the black list; if the type of vehicle corresponding to the current license plate is in the pending list, obtain the basic driving information of the current vehicle, establish a traffic credit score model, and set a score threshold; obtain the score of the current vehicle through the basic driving information of the current vehicle and the traffic credit score model, and if the score is compared with the score threshold, issue a command to open the barrier system or not to open the barrier system;

[0040] A main control module, which is connected to the vehicle judgment module and the gate control module, is used to execute the above-mentioned control method of the comprehensive management system of the closed area of ​​a hydropower station.

[0041] The technical solution of the present invention has at least the following advantages and beneficial effects:

[0042] The method or system provided by the present invention mainly includes obtaining the basic image of the vehicle, identifying the vehicle appearance image and license plate number of the basic image of the vehicle, establishing a management center database, and then judging the list of vehicles corresponding to the current license plate. If it is a white list, the gate system is opened, and if it is a black list, it is not opened; if the type of vehicle corresponding to the current license plate is a list to be judged, the basic driving information of the current vehicle is obtained, and a traffic credit score model is established. Through the above method, a set of intelligent vehicle comprehensive management and control system with integrated online inspection and release functions is constructed. By optimizing and transforming the vehicle gate equipment of each control post in the closed area, the license plate of the passing vehicle is identified, and the identified image is intelligently analyzed. It solves the problem of low informatization of traditional infrastructure, avoids the problem of handling paper-based pass procedures, and quickly judges whether the current vehicle can be released through the traffic credit score model, thereby improving the work efficiency of the entire system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0046] The division of modules in this application is a logical division. There may be other division methods when implemented in actual applications. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed.

[0047] The modules or submodules described independently may be physically separated or not: they may be implemented by software or hardware, and some modules or submodules may be implemented by software, and the processor calls the software to implement the functions of these modules or submodules, and other modules or submodules may be implemented by hardware, such as by hardware circuits. In addition, some or all of the modules may be selected according to actual needs to achieve the purpose of the present application.

[0048] Please refer to Figure 1 , a control method for a comprehensive management system of a closed area of ​​a hydropower station, comprising:

[0049] S101: Acquire a basic vehicle image, identify the vehicle appearance image and the license plate number of the basic vehicle image, and establish a management center database, wherein the management center database includes basic vehicle information, a blacklist, a whitelist, and a traffic credit waiting list;

[0050] S102: Determine whether the license plate number is in the basic vehicle information in the management center database. If so, obtain the comparison vehicle appearance image corresponding to the current license plate number. If not, do not open the gate system.

[0051] S103: Determine whether the current vehicle appearance image is consistent with the reference vehicle appearance image. If not, do not open the gate system. If consistent, determine the list of vehicles corresponding to the current license plate.

[0052] S104: If the type of vehicle corresponding to the current license plate is a vehicle in the white list, the barrier system is opened; if the type of vehicle corresponding to the current license plate is a vehicle in the black list, the barrier system is not opened;

[0053] S105: If the type of vehicle corresponding to the current license plate is on the waiting list, the basic driving information of the current vehicle is obtained, and a traffic credit score model is established, and a score threshold is set;

[0054] S106: Obtain the score of the current vehicle through the basic driving information of the current vehicle and the traffic credit score model. If the score is compared with the score threshold, issue a command to open the barrier system or not to open the barrier system.

[0055] Specifically, when the present invention is in use, when a vehicle enters or exits the site, the vehicle triggers the ground sensing coil of the barrier system, and the three-dimensional high-definition license plate recognition camera automatically captures the vehicle image, identifies the license plate number, records the entry time and transmits the vehicle information to the central server. The central server intelligently compares and verifies the vehicle information, determines the nature of the vehicle, and displays the relevant information after the decision on the booth terminal, and intelligently controls the output of the barrier lifting and lowering according to the traffic plan formulated by the software. The core hardware of the vehicle license plate recognition system mainly includes image capture equipment, on-site fill lighting equipment, image acquisition equipment, license plate character recognition equipment, etc., and adopts core algorithms such as license plate positioning algorithm, license plate character segmentation algorithm and optical character recognition algorithm.

[0056] Secondly, the intelligent vehicle comprehensive management and control system is divided into hardware and software parts. The whole system is dominated by license plate recognition. The front end transmits the identified vehicle information to the central server through TCP\IP network communication. The central server automatically determines the nature of the vehicle based on data comparison, automatically counts and retrieves relevant information to display on the booth terminal, and controls the gate system to operate, thereby realizing road traffic safety management in closed areas.

[0057] In an exemplary embodiment of the present invention, identifying the current license plate number includes:

[0058] The license plate is located and cropped to obtain a license plate image, the license plate image is preprocessed, and a first image is output; character segmentation is performed on the first image, and license plate recognition is performed on the first image after character segmentation, and a recognition result is output.

[0059] Specifically, after obtaining the image, MATLAB is used to read it in, and the difference between the license plate color and other areas is used to locate and crop the image. Then the license plate image is appropriately optimized, that is, some preprocessing such as tilt correction and morphological operations is performed, and then the license plate characters are segmented. This step performs boundary processing on the obtained license plate image, and then uses the one-dimensional grayscale projection method to obtain the image width, and obtains the segmentation size and position. The template matching method is used for character recognition, which needs to be normalized first, and then the black and white points are compared and matched.

[0060] In an exemplary embodiment of the present invention, positioning and tailoring include:

[0061] The size function is used to obtain the number of rows, columns and RGB layers of the matrix. The double function is used to convert the data into double precision type. The threshold quality factor that determines the quality of the image is determined by the threshlow instruction. A vector with y rows and 1 column is created. If it is a color pixel point that meets the attributes of the license plate, it is marked on the vector, and the blue pixels are counted to find the area that meets the RGB components of the license plate. The positioning and cropping are completed and the license plate image is output.

[0062] Since the RGB structure of the license plate image is 28:63:138, if you want to get an approximate image, you can make the number of red pixels within 48, the number of green pixels between 40 and 100, and the number of blue pixels between 80 and 200. As the vector moves from left to right, mark the matching points one by one, assign the vector, and determine the left and right boundaries in the same way.

[0063] Specifically, this solution uses color as the basis for positioning. It mainly relies on the difference between the RGB components of the license plate position and the background. The common RGB composition of license plate images is: blue is 138, green is 63, and red is 28. If the image RGB composition ratio is close to the license plate RGB composition ratio, it is assigned a value of 255, and if it is not close, it is assigned a value of 0. In this way, the area that may be the license plate is selected, and the area that does not meet the requirements is discarded, so that the position of the license plate can be roughly located and cropped.

[0064] Further select the row with the most pixels to determine whether it has too few pixels. If it has too few pixels, it does not meet the characteristics of the license plate. Here, it is taken as 20. If it is lower than this value, it is determined that the license plate positioning is problematic. The widest area of ​​the suitable marking points is the upper and lower range of the license plate. The positions of the multiple points at both ends of the range are assigned to the upper and lower boundaries. The left and right boundaries are obtained in the same way. Since the license plate has a fixed aspect ratio and the white ratio of the characters ranges from 0.12 to 0.5, if these two parameters are not qualified, it is also determined that it is not a license plate. Then narrow the above pixel range to further obtain a more accurate range.

[0065] In order to avoid the wrong cropping of valid license plate character information or the excessive size of the remaining part, and also to increase readability, the license plate image can be frame-corrected, and the correction scale depends on the actual situation of positioning and cropping. The obtained upper, lower, left, and right edge data are used for cropping.

[0066] In an exemplary embodiment of the present invention, the preprocessing of the license plate image includes:

[0067] Graying the license plate image to obtain a grayed image, and performing noise reduction on the grayed image to obtain a second image;

[0068] The second image is tilt-corrected, converted into a binary image, and the H-shaped connection is disconnected, small objects are removed, and morphological processing such as opening operation is performed to obtain the first image.

[0069] In an exemplary embodiment of the present invention, the tilt correction comprises:

[0070] Use the edge function to detect the edge and get the edge of the upper and lower parallel lines;

[0071] Perform radon transform and calculate the tilt angle. After obtaining the tilt angle, use the rotation function imrotate, input the image name and tilt angle, use the two-line method, output the image of the same size, and obtain the corrected image.

[0072] Since the license plate image captured under normal circumstances is not a straight image, it will affect the subsequent segmentation and recognition operations. Therefore, the acquired license plate should be tilted to ensure that the following processing can obtain ideal results. Because the license plate has two parallel edge lines above and below, the tilt angle can be determined as a reference. Then the entire license plate image is rotated by a corresponding angle to obtain a straight license plate image.

[0073] After the binarization, morphological processing is performed. The function used in this embodiment is bwmorph. The algorithm uses three morphological processing. The first step is to use the hbreak instruction to disconnect the H-shaped connection, and then perform small branch removal processing, that is, burr removal processing. Disconnect the H-shaped connection and remove the small branch morphological processing.

[0074] In an exemplary embodiment of the present invention, grayscale processing includes:

[0075]

[0076] Where Gray is the image after grayscale processing, R is the brightness value of the red channel, G is the brightness value of the green channel, and B is the brightness value of the blue channel.

[0077] In an exemplary embodiment of the present invention, the traffic credit score model includes:

[0078]

[0079] In the formula, is a fraction, G a is the current vehicle mass, O α is the distance traveled by the current vehicle from the previous sentry post to the current sentry post, is the average speed of the vehicle, C β is the number of times the vehicle exceeds the speed limit, T is the data collection period, λ is the calculation coefficient, when the vehicle is a commercial vehicle, λ=0.5, when the vehicle is a passenger car, λ=1, G bis the load mass of the vehicle, ε is the number of people the vehicle can carry, and ξ is the number of axles of the current vehicle.

[0080] Specifically, the score thresholds include:

[0081]

[0082] If the current score is less than or equal to the score threshold, the gate system will not be opened. If the current score is greater than the score threshold, the gate system will be opened.

[0083] In this embodiment, the relevant data of the basic driving information of the vehicle is included in the scope of the assessment, so that the current vehicle situation can be comprehensively judged to see whether it belongs to the type that can open the gate system. The traffic credit score model focuses on reflecting the degree to which the current vehicle complies with the driving rules of this area, and provides a basis for judgment on the opening of the gate system, without having to consume a lot of time through manual judgment, thereby improving system work efficiency. Secondly. It should be noted that the score threshold provided in this embodiment can adopt an empirical score threshold, that is, the score obtained by using the data of the basic driving information of normal vehicles as the score threshold, or the calculation method of the score threshold provided in this embodiment can be used. The advantage is that the calculation method provided in this embodiment, the obtained score threshold is variable, and the obtained score threshold is affected according to the parameters used. The obtained result is more accurate. The parameters used in the traffic credit score model all take specific values, and do not involve unit calculations. Before calculation, the corresponding values ​​are taken under the premise of uniformly specified units, and the required results are all specific values.

[0084] An exemplary embodiment of the present invention further includes:

[0085] Get the number of times the current score is less than or equal to the score threshold, and set the number threshold. If the number is less than or equal to the number threshold, change the list to which the current vehicle belongs to to the whitelist;

[0086] If the number of times is greater than the threshold, the list to which the current vehicle belongs is changed to the blacklist.

[0087] An exemplary implementation of the present invention also includes business management, which is divided into two categories: query and management, and the major categories are further divided into sub-modules with different functions. The query function mainly includes information query, long-term pass, temporary pass, direct release, general process, sentry duty table, manual gate opening record, blacklist, whitelist, credit points, traffic flow, etc. The management function mainly includes vehicle approval and management configuration. The vehicle approval includes long-term pass, temporary pass, direct release, general process, etc. The management configuration includes blacklist, whitelist, pass management, sentry configuration, sentry verification, traffic control information, traffic credit management, etc.

[0088] The pass application process includes fields such as license plate number, applicant, vehicle type, pass post, third party liability insurance, and passenger insurance. The general process application includes fields such as road application type (divided into 4 types: road occupation, road closure, large-scale transportation, and fuel), work content, applicant, application time, and involved areas. The system sets fixed role approval, and the process automatically jumps after approval.

[0089] The system supports creating new whitelist groups and adding whitelist vehicles to the groups. When a whitelist vehicle passes through a checkpoint, the checkpoint name that the vehicle has passed is displayed in dotted lines, and the checkpoint route that has not been passed is displayed in gray.

[0090] The system supports the creation of new blacklist vehicles and personnel. Blacklist functions include adding, deleting, automatically releasing upon expiration, releasing by associated locked sentry posts, automatically counting blacklists, and counting suspected blacklist vehicles. When the vehicle license plate identified by the system does not meet the conditions, or the license plate is on the blacklist, the blacklist alarm will automatically pop up at the sentry booth terminal or management center, prompting the staff to conduct verification and inspection.

[0091] The present invention also provides a comprehensive management system for closed areas of a hydropower station, comprising:

[0092] The vehicle identification module is configured to obtain a basic vehicle image, identify a vehicle appearance image and a license plate number of the basic vehicle image, and establish a management center database, wherein the management center database includes basic vehicle information, a blacklist, a whitelist, and a traffic credit waiting list; determine whether the license plate number is in the basic vehicle information of the management center database, and if so, obtain a reference vehicle appearance image corresponding to the current license plate number; if not, do not open the gate system; determine whether the current vehicle appearance image is consistent with the reference vehicle appearance image, and if not, do not open the gate system; if consistent, determine the list to which the vehicle corresponding to the current license plate belongs;

[0093] The barrier control module is configured to open the barrier system if the type of vehicle corresponding to the current license plate is a vehicle in the white list, and not open the barrier system if the type of vehicle corresponding to the current license plate is a vehicle in the black list; if the type of vehicle corresponding to the current license plate is in the pending list, obtain the basic driving information of the current vehicle, establish a traffic credit score model, and set a score threshold; obtain the score of the current vehicle through the basic driving information of the current vehicle and the traffic credit score model, and if the score is compared with the score threshold, issue a command to open the barrier system or not to open the barrier system;

[0094] A main control module, which is connected to the vehicle judgment module and the gate control module, and is used to execute a control method for a comprehensive management system of a closed area of ​​a hydropower station as described above.

[0095] The system gate opening is divided into automatic license plate recognition and manual gate lifting. Manual gate lifting provides operations such as lane selection, gate opening, normal opening, and gate closing on the Web and H5 terminals, and all operations are recorded for reference. The gate opening page automatically jumps to the vehicle information from the traffic information interface. If you enter the interface from the menu alone, the license plate number will be automatically filled with "temporary gate opening". The main functions of the sentry duty include uploading duty records, displaying duty roster information, and displaying on-duty personnel information. When the system has sentry verification turned on, all passing vehicles except those on the white list must be verified. If the sentry verification is not turned on, the system will randomly check and verify 10 vehicles on the white list and vehicles not directly released every day.

[0096] The license plate recognition camera monitors the dynamic situation of vehicles entering the closed area in real time, records the exit time and transmits the vehicle information to the central server. The central server automatically determines the nature of the vehicle based on data comparison, and automatically calculates and displays relevant information. Suspected illegal vehicles are monitored, tracked and controlled throughout the process to ensure road traffic safety in the closed area.

[0097] Mainly used in the production area of ​​power plants, it displays the number of personnel in the production area in real time, and the specific entry and exit time can be checked in detail. The relevant data can be queried in the central control room and relevant sentries. Personnel can enter and exit by swiping cards or using facial recognition to pass through the pedestrian gate, and the name, unit and department of personnel passing can be recorded in the system.

[0098] The main functions of the mobile application APP include booth verification and pending approval. The booth verification module can query vehicle license information, open the gate, and note that the vehicle is a reception vehicle on the top of the main page through the license plate. Managers at all levels of the hydropower station can monitor vehicle license information and complete the entire process of online clearance procedures at any time on the mobile APP.

[0099] In specific use, the whole system is mainly composed of the following parts: high-speed car blocker, vehicle detector, entrance and exit control machine, integrated license plate reader, single-core left lane, dual-core middle lane, single-core right lane, tablet computer, server, system software. The software platform after formal launch relies on the Yashui Cloud Platform of Yalong River Company and is deployed using 1 virtual machine (1 server with CPU 12 cores, 64G memory, and 1T hard disk). The system platform is based on the domestic Kirin operating system and is developed using technologies such as B / S architecture and front-end and back-end separation. The front-end development of the system is based on Java Script scripting language, using Vue technology development framework, using HTML and CSS for front-end page effects, JS for page interaction logic, and Echart technology for data visualization. The back-end development uses J2EE, Spring Cloud technology, Spring Boot technology, MyBatis technology and other technical development frameworks, using virtualization deployment, and supporting load balancing. The database mainly uses postSQL, Elasticsearch and Redis and clusters, among which posttSQL mainly stores real-time and business data, and the Elasticsearch cluster mainly stores auxiliary closed area business data. ActiveMQ is used for information transmission between services. Scanned file data upload during pass processing is based on JSON data format, and MOTT protocol rules are used for data upload. Data upload adopts encrypted one-way transmission mode; video surveillance adopts stream sever media service push-pull mode. The front-end and back-end of the platform interact with data based on JSON data format and RESTuI interface. System compatibility meets the requirements of device interchangeability, and system scalability meets the requirements of simple expansion and integration.

[0100] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0101] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0102] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A control method for a comprehensive management system of a closed area of ​​a hydropower station, characterized in that: include: Acquire a basic vehicle image, identify a vehicle appearance image and a license plate number of the basic vehicle image, and establish a management center database, wherein the management center database includes basic vehicle information, a blacklist, a whitelist, and a traffic credit pending judgment list; Determine whether the license plate number is in the basic vehicle information in the management center database. If so, obtain the comparison vehicle appearance image corresponding to the current license plate number. If not, do not open the gate system. Determine whether the current vehicle appearance image is consistent with the reference vehicle appearance image. If not, the gate system will not be opened. If consistent, determine the list of vehicles corresponding to the current license plate. If the vehicle type corresponding to the current license plate is on the white list, the barrier system will be opened; if the vehicle type corresponding to the current license plate is on the black list, the barrier system will not be opened; If the type of vehicle corresponding to the current license plate is on the waiting list, the basic driving information of the current vehicle is obtained, and a traffic credit score model is established, and a score threshold is set; The score of the current vehicle is obtained through the basic driving information of the current vehicle and the traffic credit score model. If the score is compared with the score threshold, a command to open the gate system or not to open the gate system is issued.

2. A control method for a closed area integrated management system of a hydropower station according to claim 1, characterized in that: Identifying the current license plate number includes: Positioning and cropping the license plate to obtain a license plate image, preprocessing the license plate image, and outputting a first image; Perform character segmentation on the first image, perform license plate recognition on the first image after character segmentation, and output the recognition result.

3. A control method for a closed area integrated management system of a hydropower station according to claim 2, characterized in that: The positioning and cutting includes: The size function is used to obtain the number of rows, columns and RGB layers of the matrix, the double function is used to convert the data into double precision, and the threshlow instruction is used to determine the threshold quality factor that determines the quality of the image; Create a vector with y rows and 1 column. If it is a color pixel that meets the license plate attributes, mark it on the vector and count the blue pixels to find the area that meets the RGB components of the license plate, complete the positioning and cropping, and output the license plate image.

4. A control method for a closed area integrated management system of a hydropower station according to claim 3, characterized in that: The preprocessing of the license plate image comprises: Graying the license plate image to obtain a grayed image, and performing noise reduction on the grayed image to obtain a second image; The second image is tilt-corrected, converted into a binary image, and the H-shaped connection is disconnected, small objects are removed, and morphological processing such as opening operation is performed to obtain the first image.

5. A control method for a closed area integrated management system of a hydropower station according to claim 4, characterized in that: The tilt correction comprises: Use the edge function to detect the edge and get the edge of the upper and lower parallel lines; Perform Radon transform and calculate the tilt angle. After obtaining the tilt angle, use the rotation function imrotate, input the image name and tilt angle, use the two-line method, output the image of the same size, and obtain the corrected image.

6. A control method for a closed area integrated management system of a hydropower station according to claim 5, characterized in that: The grayscale processing comprises: Where Gray is the image after grayscale processing, R is the brightness value of the red channel, G is the brightness value of the green channel, and B is the brightness value of the blue channel.

7. A control method for a closed area integrated management system of a hydropower station according to claim 1, characterized in that: The traffic credit score model includes: In the formula, is a fraction, G a is the current vehicle mass, O α is the distance traveled by the current vehicle from the previous sentry post to the current sentry post, is the average speed of the vehicle, C β is the number of times the vehicle exceeds the speed limit, T is the data collection period, λ is the calculation coefficient, when the vehicle is a commercial vehicle, λ=0.5, when the vehicle is a passenger car, λ=1, G b is the load mass of the vehicle, ε is the number of people the vehicle can carry, and ξ is the number of axles of the current vehicle.

8. A control method for a closed area integrated management system of a hydropower station according to claim 7, characterized in that: The setting of the score threshold comprises: In the formula, H η is the score threshold. If the current score is less than or equal to the score threshold, the gate system will not be opened. If the current score is greater than the score threshold, the gate system will be opened.

9. A control method for a closed area integrated management system of a hydropower station according to claim 8, characterized in that: Also includes: Get the number of times the current score is less than or equal to the score threshold, and set the number threshold. If the number is less than or equal to the number threshold, change the list to which the current vehicle belongs to to the whitelist; If the number of times is greater than the threshold, the list to which the current vehicle belongs is changed to the blacklist.

10. A comprehensive management system for closed areas of a hydropower station, characterized in that: include: The vehicle identification module is configured to obtain a basic vehicle image, identify a vehicle appearance image and a license plate number of the basic vehicle image, and establish a management center database, wherein the management center database includes basic vehicle information, a blacklist, a whitelist, and a traffic credit waiting list; determine whether the license plate number is in the basic vehicle information of the management center database, and if so, obtain a reference vehicle appearance image corresponding to the current license plate number; if not, do not open the gate system; determine whether the current vehicle appearance image is consistent with the reference vehicle appearance image, and if not, do not open the gate system; if consistent, determine the list to which the vehicle corresponding to the current license plate belongs; The barrier control module is configured to open the barrier system if the type of vehicle corresponding to the current license plate is a vehicle in the white list, and not open the barrier system if the type of vehicle corresponding to the current license plate is a vehicle in the black list; if the type of vehicle corresponding to the current license plate is in the pending list, obtain the basic driving information of the current vehicle, establish a traffic credit score model, and set a score threshold; obtain the score of the current vehicle through the basic driving information of the current vehicle and the traffic credit score model, and if the score is compared with the score threshold, issue a command to open the barrier system or not to open the barrier system; A main control module, which is connected to the vehicle judgment module and the gate control module, and is used to execute a control method for a comprehensive management system for a closed area of ​​a hydropower station as described in any one of claims 1-9.

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