A method for detecting parking space status using wireless signal strength

Abstract

The present invention discloses a method for detecting the status of a parking space by using the strength of a wireless signal, comprising the following steps: Step 1: Collecting parking space information, analyzing the parking space information, and obtaining parking space assessment information; Step 2: Selecting corresponding detection equipment for equipment installation according to the specific content of the parking space assessment information; Step 3: After the detection equipment is installed, performing actual simulation tests to obtain simulation test results; Step 4: Selecting to put the detection equipment into use or optimizing it according to the specific content of the simulation test results. Based on detecting parking spaces based on the strength of wireless information signals, the present invention reasonably sets different detection equipment according to the size of the parking spaces, performs more accurate parking space status monitoring, and avoids unnecessary waste of resources.

Description

Technical Field

[0001] The present invention relates to the field of detection methods, and in particular to a method for detecting parking space status by utilizing wireless signal strength. Background Art

[0002] Parking lot status monitoring is an important technical means to improve the operation efficiency and management level of parking lots. Parking lot status monitoring solutions usually include several main parts such as parking space detectors, data processing and transmission systems, parking space management systems and user display terminals. These parts work together to achieve real-time monitoring and status analysis of parking spaces in parking lots, providing managers and car owners with accurate and timely information;

[0003] Detecting the status of a parking space by using wireless signal strength is also a commonly used technical solution. When the parking space status is detected by using wireless signal strength, the parking space status detection method is applied.

[0004] In the actual detection process, the existing detection methods may lead to large deviations in the detection results due to different parking space sizes and insufficient number and types of detection equipment, which has a certain impact on the use of the detection method. Therefore, a method for detecting the status of parking spaces using wireless signal strength is proposed. Summary of the invention

[0005] The technical problem to be solved by the present invention is: how to solve the problem that in the actual detection process, the existing detection method may have large deviations in the detection results due to the different sizes of parking spaces and the insufficient number and types of detection equipment, which has a certain impact on the use of the detection method. A method for detecting the status of a parking space using wireless signal strength is provided.

[0006] The present invention solves the above technical problems through the following technical solutions, and the present invention comprises the following steps:

[0007] Step 1: Collect parking space information, analyze the parking space information, and obtain parking space assessment information;

[0008] Step 2: According to the specific content of the parking space assessment information, select the corresponding detection equipment for equipment installation;

[0009] Step 3: After the detection equipment is installed, conduct actual simulation tests and obtain simulation test results;

[0010] Step 4: Choose whether to put the testing equipment into use or optimize it based on the specific content of the simulation test results.

[0011] Furthermore, the process of obtaining the parking space assessment information in step 1 is as follows:

[0012] Extract parking space information, including the area of ​​a single parking space and whether the parking space is close to a wall;

[0013] The parking space area information is analyzed. When the parking space area is larger than the preset area a1, the parking space is not close to the wall, and a normal parking space assessment is generated;

[0014] When the parking space area is larger than the preset area a1, and the parking space is close to the wall, an abnormal parking space assessment is generated;

[0015] When the parking space area is between the preset area a1 and a2, and the parking space is not close to the wall, a second-class normal parking space assessment is generated;

[0016] When the parking space area is between the preset area a1 and a2, and the parking space is close to the wall, a second-class abnormal parking space assessment is generated;

[0017] When the parking space area is smaller than the preset area a2, and the parking space is not close to the wall, three types of normal parking space assessments are generated;

[0018] When the parking space area is smaller than the preset area a2 and the parking space is close to the wall, three types of abnormal parking space assessments are generated.

[0019] Furthermore, the specific process of selecting the corresponding detection equipment for equipment installation is as follows:

[0020] When the parking space assessment information is a normal parking space, the parking space plan information is collected and processed, and the installation positions F1, F2, F3 and F4 are selected for the installation of the detection equipment, wherein infrared sensors are installed at a preset height directly above the F1 and F3 positions, and wireless sensors are installed at the F2 and F4 positions;

[0021] When the parking space assessment information is a type of abnormal parking space, on the basis of setting up detection equipment for a type of normal parking space, find the wall position, set up image acquisition equipment on the wall, and collect parking space image information;

[0022] When the parking space assessment information is a Class II normal parking space, the parking space plan information is collected and processed, and the installation positions G1, G2 and G3 are selected for the installation of the detection equipment, wherein infrared sensors are installed at a preset height directly above the G1 and G3 positions, and a wireless sensor is installed at the G2 position;

[0023] When the parking space assessment information is a Class II abnormal parking space, on the basis of setting up detection equipment in a Class II normal parking space, find the wall position, set up image acquisition equipment on the wall, and collect parking space image information;

[0024] When the parking space assessment information is a normal parking space of the third category, the parking space plan information is collected and processed, and the installation positions W1 and W2 are selected for the installation of the detection equipment, wherein an infrared sensor is installed at a preset height directly above the W1 position, and a wireless sensor is installed at the W2 position;

[0025] When the parking space assessment information is the third category of abnormal parking spaces, on the basis of setting up detection equipment in the three categories of normal parking spaces, the wall position is found, and image acquisition equipment is set up on the wall to collect parking space image information.

[0026] Furthermore, the parking space information also includes information related to parking space fees, and the information related to parking space fees includes parking space charging information and parking space investment information;

[0027] The generation of the first-category abnormal parking space assessment, the second-category abnormal parking space assessment, and the third-category abnormal parking space assessment is related to the information related to the parking space fee;

[0028] When the parking space charge information is greater than the preset value, and the parking space investment information is also greater than the preset value, a first-class abnormal parking space assessment, a second-class abnormal parking space assessment, or a third-class abnormal parking space assessment is generated during the parking space assessment process;

[0029] When the parking space charge information is less than the preset value, and the parking space investment information is also less than the preset value, that is, no first-class abnormal parking space assessment, second-class abnormal parking space assessment, or third-class abnormal parking space is generated during the parking space assessment process.

[0030] Furthermore, when the parking space assessment information is a normal parking space, the selection process of the installation positions F1, F2, F3 and F4 is as follows:

[0031] Extract the collected parking space plan information, mark the midpoints of the two widths of the parking space in the parking space plan as points b1 and b2, and connect b1 and b2 to obtain the line segment L1;

[0032] Divide the line segment L1 into five equal parts, and mark the four points on the line segment L1 into five equal parts as installation positions F1, F2, F3 and F4 in sequence according to the direction of entering the parking space;

[0033] When the parking space assessment information is a Class I abnormal parking space, an image acquisition device is installed at a preset height of the wall closest to the parking space;

[0034] When the parking space assessment information is a Class II normal parking space, the selection process of the installation positions G1, G2 and G3 is as follows:

[0035] Extract the collected parking space plan information, mark the midpoints of the two widths of the parking space in the parking space plan as points c1 and c2, and connect c1 and c2 to obtain line segment L2;

[0036] Divide the line segment L2 into four equal parts, and mark the three points on the line segment L2 as installation positions G1, G2, and G3 in sequence according to the direction of entering the parking space;

[0037] When the parking space assessment information is a Class II abnormal parking space, an image acquisition device is installed at a preset height of the wall closest to the parking space;

[0038] When the parking space assessment information is a normal parking space of type three, the selection process of the installation positions W1 and W2 is as follows:

[0039] Extract the collected parking space plan information, extract the center point of the parking space plan information, and mark it as point Y;

[0040] Then, with point Y as the endpoint, perpendicular line segments are drawn to the two wide sides on the parking space plan information to obtain line segments L3 and L4. The midpoints of line segments L3 and L4 are extracted, that is, the installation positions are obtained, among which the installation position W1 is close to the parking space entrance direction, and the installation position W2 is far from the parking space entrance direction.

[0041] Furthermore, the specific determination process of whether the parking space is close to the wall is as follows: the parking space image information is collected, and the wall is identified from the parking space image information. When the wall is obtained, the surface where the wall is located is marked as the reference plane, and then the distance between each point of the parking space and the reference plane is collected. When there is a point whose distance to the reference plane is less than a preset value, it is determined that the parking space is close to the wall; when there is no point whose distance to the reference plane is less than the preset value, it is determined that the parking space is not close to the wall.

[0042] Furthermore, the simulation test result includes a first test result and a second test result, and when both the first test result and the second test result are passed, it means that the test is passed;

[0043] The specific process of obtaining the first test result is as follows:

[0044] When the parking space is a normal parking space, a first simulation test is performed, and when a vehicle enters the test parking space, real-time infrared sensing information collected by the infrared sensors at positions F1 and F3 is extracted;

[0045] At the same time, the real-time wireless sensing information collected by the wireless sensors of F2 and F4 is extracted;

[0046] Compare the two infrared sensor information with the preset standard vehicle entry infrared sensor parameters to obtain two infrared sensor comparison parameters;

[0047] Compare the two real-time wireless sensor information with the preset standard wireless sensor parameters after the vehicle enters, and obtain two wireless sensor comparison parameters;

[0048] Analyze two infrared sensor comparison parameters and two wireless sensor comparison parameters to obtain sensor device determination information;

[0049] Perform x tests to obtain x pieces of sensor device determination information. When the x pieces of sensor device determination information are consistent with the current vehicle parking status, generate a first test result. At this time, the first test result is that the first test verification is passed.

[0050] When any one of the x sensing devices determines that the information is inconsistent with the current parking condition of the vehicle, a first test result is generated. In this case, the first test result is that the first test verification fails;

[0051] When the parking space is a Class II normal parking space or a Class III normal parking space, the process of obtaining the first test result is substantially the same as the process of obtaining the Class I normal parking space, except that the number of real-time infrared sensor information and real-time wireless sensor information used for determination is different;

[0052] When the parking space is a normal parking space of the second category, two infrared sensor comparison parameters and one wireless sensor comparison parameter are analyzed, and the two infrared sensor information are compared with the preset standard infrared sensor parameters after the vehicle enters, and two infrared sensor comparison parameters are obtained; a real-time wireless sensor information is compared with the preset standard wireless sensor parameters after the vehicle enters, and the wireless sensor comparison parameters are obtained;

[0053] Analyze the two infrared sensor comparison parameters and the wireless sensor comparison parameters to obtain the sensor device judgment information;

[0054] The subsequent first test result determination process is the same as the first test result determination process under a normal parking space;

[0055] When the parking space is a normal parking space of the third category, an infrared sensor comparison parameter and a wireless sensor comparison parameter are analyzed, and the infrared sensor information is compared with the preset standard infrared sensor parameter after the vehicle enters to obtain an infrared sensor comparison parameter; the real-time wireless sensor information is compared with the preset standard wireless sensor parameter after the vehicle enters to obtain the wireless sensor comparison parameter;

[0056] Analyze the infrared sensor comparison parameters and the wireless sensor comparison parameters to obtain the sensor equipment judgment information;

[0057] The subsequent first test result determination process is the same as the first test result determination process in a normal parking space.

[0058] Furthermore, the process of obtaining the second test result is as follows: when the parking space is a normal parking space, a second simulation test is performed to detect whether there is a human body within a preset distance of the parking space through infrared sensors at positions F1 and F3;

[0059] When any one of the infrared sensors at the F1 and F3 positions detects the presence of a human body and the detection time exceeds a preset time, any one of the infrared sensors is used to detect whether the vehicle is started. When the vehicle is found to be started, the infrared sensors at the F1 and F3 positions are used again to detect the human body. When any one of the infrared sensors at the F1 and F3 positions detects the presence of a human body, the distance between the human body and the vehicle is immediately detected. When the distance between the human body and the vehicle is less than a preset value, human body determination information is generated. At this time, the human body determination information is human body information. When the human body determination information is compared with the actual human body presence state during the current test, the comparison result is obtained, and the comparison result is analyzed to generate a second test result.

[0060] When the comparison result is that the human body determination information is the same as the actual human body existence state during the current test, a second test result is generated. At this time, the second test result is that the second test verification is passed;

[0061] When the comparison result is that the human body determination information is different from the actual human body existence state during the current test, a second test result is generated, and the second test result is that the second test verification fails;

[0062] When the parking space is a Class II normal parking space, the process of obtaining the second test result is the same as the process of obtaining the Class I normal parking space, except that the position of the real-time infrared sensor used for determination is different;

[0063] When the parking space is a normal parking space of the third category, a second simulation test is performed, and human body detection is performed through the infrared sensor at the W1 position. When the infrared sensor at the W1 position detects the presence of a human body, the distance between the human body and the vehicle is immediately collected. When the distance between the human body and the vehicle is less than a preset value, human body determination information is generated. At this time, the human body determination information is human body information. When the human body determination information is compared with the actual human body presence state during the current test, the comparison result is obtained, and the comparison result is analyzed to generate a second test result;

[0064] When the comparison result is that the human body determination information is the same as the actual human body existence state during the current test, a second test result is generated. At this time, the second test result is that the second test verification is passed;

[0065] When the comparison result is that the human body determination information is different from the actual human body existence state during the current test, a second test result is generated. At this time, the second test result is that the second test verification fails.

[0066] Furthermore, when the vehicle is in a type of abnormal parking space, the process of obtaining the first test result is as follows: on the basis of a type of normal parking space determination, it is also necessary to analyze the image information collected by the image acquisition device, and analyze the image information to obtain an image analysis entry determination, and the image analysis entry determination includes a vehicle existence determination and a vehicle non-existence determination;

[0067] When the sensor device determination information, the image analysis entry determination and the current vehicle parking condition are all consistent, a first test result is generated. In this case, the first test result is that the first test verification is passed;

[0068] When any one of the sensor device determination information and the image analysis entry determination is inconsistent with the current vehicle parking condition, a first test result is generated, and the first test result is that the first test verification fails;

[0069] When the vehicle is in the second type of abnormal parking space and the third type of abnormal parking space, the process of obtaining the first test result is the same as the process of obtaining the simulation test result when the vehicle is in the first type of abnormal parking space.

[0070] Furthermore, when the parking space is a type of abnormal parking space, a second simulation test is performed to detect whether there is a human body within a preset distance of the parking space through infrared sensors at positions F1 and F3;

[0071] When any one of the infrared sensors at the F1 and F3 positions detects a human body for a preset period of time, any one of the infrared sensors is used to detect whether the vehicle is started. When the vehicle is found to be started, the infrared sensors at the F1 and F3 positions are used again to detect the human body. When any one of the infrared sensors at the F1 and F3 positions detects a human body, the distance between the human body and the vehicle is immediately collected. When the distance between the human body and the vehicle is less than a preset value, human body determination information is generated. At this time, the human body determination information is human information.

[0072] At the same time, the image information collected by the image acquisition device is analyzed to determine whether there is a human body. When there is a human body, the distance between the human body and the vehicle is collected. When the collected distance between the human body and the vehicle is less than a preset value, human body determination information is generated. At this time, the human body determination information is human information;

[0073] Compare the two pieces of human body determination information with the actual human body existence status during the current test to obtain a comparison result;

[0074] When both comparison results are the same as the actual human body state during the current test, a second test result is generated, and the second test result is that the second test verification is passed;

[0075] When any one of the two comparison results is different from the actual human body state during the current test, a second test result is generated, and the second test result is that the second test verification fails;

[0076] When the vehicle is in the second type of abnormal parking space and the third type of abnormal parking space, the process of obtaining the second test result is the same as the process of obtaining the simulation test result when the vehicle is in the first type of abnormal parking space.

[0077] Furthermore, the infrared sensors in the first-class normal parking spaces, the second-class normal parking spaces, the third-class normal parking spaces, the first-class abnormal parking spaces, the second-class abnormal parking spaces and the third-class abnormal parking spaces are also used for monitoring the driver's standardization;

[0078] The specific process of driver standard monitoring in the first, second and third normal parking spaces is as follows:

[0079] When the infrared sensor detects that the vehicle is started, the infrared sensor information collected by the infrared sensor within a preset time before the vehicle is started is extracted as calibration analysis information, and human body recognition is performed on the calibration analysis information;

[0080] Multiple vehicle prompt points are set, and the position of the recognized human body is analyzed. When the position of the human body appears within the preset range of the prompt points of multiple vehicles, no information is generated;

[0081] When the position of the human body does not appear within the preset range of the prompt points of multiple vehicles or the number of prompt points that appear is less than the preset value, a warning message is generated and sent out.

[0082] The prompt points include the center point of the front end of the vehicle, the center point of the rear end of the vehicle, the center point of the left side of the vehicle and the center point of the right side of the vehicle.

[0083] Compared with the prior art, the present invention has the following advantages: the method of detecting the status of a parking space by utilizing the strength of a wireless signal analyzes the parking space information to understand the size of the parking space and other information about the parking space, and selects the setting mode of the detection equipment for the parking space, thereby meeting different usage requirements. Parking spaces of different sizes require signal detection of different ranges and accuracies. Adjusting the setting of the detection equipment according to the size of the parking space can ensure that the signal covers the entire parking area, thereby reducing false alarms and missed alarms. Reasonable setting of the detection equipment according to the size of the parking space can avoid unnecessary waste of resources. Reasonable setting of the detection equipment can also reduce equipment costs. By accurately calculating the specifications and quantity of equipment required for each parking space, over-investment or insufficient equipment can be avoided, thereby better saving resources. In addition, by using a variety of different detection equipment to analyze the parking status of a vehicle, the accuracy of judging the parking status of the vehicle is further improved, making the method more worthy of popularization and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 It is the overall process composition of the present invention;

[0085] Figure 2 It is a schematic diagram of the installation position of a normal parking space detection device of the present invention;

[0086] Figure 3 It is a schematic diagram of the installation position of the second type of normal parking space detection equipment of the present invention;

[0087] Figure 4 It is a schematic diagram of the installation positions of three types of normal parking space detection equipment of the present invention. DETAILED DESCRIPTION

[0088] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0089] like Figure 1 to Figure 4 As shown, this embodiment provides a technical solution: a method for detecting the parking space status using wireless signal strength, comprising the following steps:

[0090] Step 1: Collect parking space information, analyze the parking space information, and obtain parking space assessment information;

[0091] Step 2: According to the specific content of the parking space assessment information, select the corresponding detection equipment for equipment installation;

[0092] Step 3: After the detection equipment is installed, conduct actual simulation tests and obtain simulation test results;

[0093] Step 4: Select whether to put the testing equipment into use or optimize it according to the specific content of the simulation test results;

[0094] When the simulation test result is that the simulation test verification is passed, the installation method of the detection equipment corresponding to the selected parking space assessment information is put into use;

[0095] When the simulation test result shows that the simulation test verification is passed, the detection equipment is optimized;

[0096] By analyzing the parking space information, understanding the size of the parking space and other information about the parking space, and selecting the setting mode of the detection equipment, different usage requirements are met. Parking spaces of different sizes require signal detection of different ranges and accuracies. Adjusting the settings of the detection equipment according to the size of the parking space can ensure that the signal covers the entire parking area and reduce false alarms and missed alarms. Reasonable setting of the detection equipment according to the size of the parking space can avoid unnecessary waste of resources. Reasonable setting of the detection equipment can also reduce equipment costs. By accurately calculating the specifications and quantity of equipment required for each parking space, over-investment or insufficient equipment can be avoided, and resources can be better saved. In addition, a variety of different detection equipment are used to analyze the parking status of the vehicle, which further improves the accuracy of judging the parking status of the vehicle.

[0097] The process of obtaining parking space assessment information in step 1 is as follows:

[0098] Extract parking space information, which includes the area of ​​a single parking space and whether the parking space is close to a wall;

[0099] The parking space area information is analyzed. When the parking space area is larger than the preset area a1, the parking space is not close to the wall, and a normal parking space assessment is generated;

[0100] When the parking space area is larger than the preset area a1, and the parking space is close to the wall, an abnormal parking space assessment is generated;

[0101] When the parking space area is between the preset area a1 and a2, and the parking space is not close to the wall, a second-class normal parking space assessment is generated;

[0102] When the parking space area is between the preset area a1 and a2, and the parking space is close to the wall, a second-class abnormal parking space assessment is generated;

[0103] When the parking space area is smaller than the preset area a2, and the parking space is not close to the wall, three types of normal parking space assessments are generated;

[0104] When the parking space area is smaller than the preset area a2 and the parking space is close to the wall, three types of abnormal parking space assessments are generated;

[0105] The setting of normal parking spaces and abnormal parking spaces further meets the different usage needs of users and can further improve the accuracy of judging the parking status of vehicles in parking spaces;

[0106] The above process can improve the detection precision and accuracy of multiple verifications. The combination of wireless signal strength detection, infrared detection and image acquisition forms a multiple verification mechanism. When one of the detection methods is interfered or erroneous, other methods can provide supplementary information to improve the accuracy of detection.

[0107] More accurate positioning is achieved. The infrared detection equipment can detect the infrared radiation of the vehicle, especially the signal that blocks the infrared rays when the vehicle passes by, which provides direct evidence of the vehicle's existence. The image acquisition equipment can capture the image of the parking space in real time to further confirm the location and status of the vehicle. This information is mutually verified with the results of the wireless signal strength detection, making the judgment of the parking space status more accurate;

[0108] Wireless signal strength detection, infrared detection and image acquisition can all achieve a relatively fast detection speed, so their combined use can ensure that the system responds quickly to the status of parking spaces. This is of great significance for improving the operational efficiency of parking lots and reducing the waiting time of car owners. Image acquisition equipment can capture images of parking spaces in real time and display them to car owners and administrators intuitively through display screens or mobile phone apps. This makes the judgment of parking space status more intuitive and convenient, and improves the user experience.

[0109] The specific process of selecting the corresponding testing equipment for equipment installation is as follows:

[0110] When the parking space assessment information is a normal parking space, the parking space plan information is collected and processed, and the installation positions F1, F2, F3 and F4 are selected for the installation of the detection equipment, wherein infrared sensors are installed at a preset height directly above the F1 and F3 positions, and wireless sensors are installed at the F2 and F4 positions;

[0111] When the parking space assessment information is a type of abnormal parking space, on the basis of setting up detection equipment for a type of normal parking space, find the wall position, set up image acquisition equipment on the wall, and collect parking space image information;

[0112] When the parking space assessment information is a Class II normal parking space, the parking space plan information is collected and processed, and the installation positions G1, G2 and G3 are selected for the installation of the detection equipment, wherein infrared sensors are installed at a preset height directly above the G1 and G3 positions, and a wireless sensor is installed at the G2 position;

[0113] When the parking space assessment information is a Class II abnormal parking space, on the basis of setting up detection equipment in a Class II normal parking space, find the wall position, set up image acquisition equipment on the wall, and collect parking space image information;

[0114] When the parking space assessment information is a normal parking space of the third category, the parking space plan information is collected and processed, and the installation positions W1 and W2 are selected for the installation of the detection equipment, wherein an infrared sensor is installed at a preset height directly above the W1 position, and a wireless sensor is installed at the W2 position;

[0115] When the parking space assessment information is the third category of abnormal parking spaces, on the basis of setting up detection equipment in the three categories of normal parking spaces, the wall position is found, and image acquisition equipment is set up on the wall to collect parking space image information.

[0116] Furthermore, the parking space information also includes information related to parking space fees, and the information related to parking space fees includes parking space charging information and parking space investment information;

[0117] The generation of the first-category abnormal parking space assessment, the second-category abnormal parking space assessment, and the third-category abnormal parking space assessment is related to the information related to the parking space fee;

[0118] When the parking space charge information is greater than the preset value, and the parking space investment information is also greater than the preset value, a first-class abnormal parking space assessment, a second-class abnormal parking space assessment, or a third-class abnormal parking space assessment is generated during the parking space assessment process;

[0119] When the parking space charge information is less than the preset value, and the parking space investment information is also less than the preset value, that is, no first-class abnormal parking space assessment, second-class abnormal parking space assessment, or third-class abnormal parking space assessment is generated during the parking space assessment process;

[0120] When the parking space charge information is greater than the preset value and the parking space investment information is less than the preset value, a confirmation prompt message is sent to the parking lot investor for manual selection;

[0121] Through the above process, it is possible to choose whether to generate abnormal parking space assessments based on the actual investment and income of the parking lot, thereby reducing construction investment.

[0122] When the parking space assessment information is a normal parking space, the selection process of the installation positions F1, F2, F3 and F4 is as follows:

[0123] Extract the collected parking space plan information, mark the midpoints of the two widths of the parking space in the parking space plan as points b1 and b2, and connect b1 and b2 to obtain the line segment L1;

[0124] Divide the line segment L1 into five equal parts, and mark the four points on the line segment L1 into five equal parts as installation positions F1, F2, F3 and F4 in sequence according to the direction of entering the parking space;

[0125] When the parking space assessment information is a Class I abnormal parking space, an image acquisition device is installed at a preset height of the wall closest to the parking space;

[0126] When the parking space assessment information is a Class II normal parking space, the selection process of the installation positions G1, G2 and G3 is as follows:

[0127] Extract the collected parking space plan information, mark the midpoints of the two widths of the parking space in the parking space plan as points c1 and c2, and connect c1 and c2 to obtain line segment L2;

[0128] Divide the line segment L2 into four equal parts, and mark the three points on the line segment L2 as installation positions G1, G2, and G3 in sequence according to the direction of entering the parking space;

[0129] When the parking space assessment information is a Class II abnormal parking space, an image acquisition device is installed at a preset height of the wall closest to the parking space;

[0130] When the parking space assessment information is a normal parking space of type three, the selection process of the installation positions W1 and W2 is as follows:

[0131] Extract the collected parking space plan information, extract the center point of the parking space plan information, and mark it as point Y;

[0132] Then, perpendicular line segments are drawn from point Y to the two wide sides on the parking space plan information, and line segments L3 and L4 are obtained. The midpoints of line segments L3 and L4 are extracted, that is, the installation positions are obtained. The installation position W1 is close to the parking space entry direction, and the installation position W2 is far from the parking space entry direction.

[0133] Through the above process, the corresponding detection equipment installation location can be better selected, so as to collect better parking space status related information, thereby improving the final judgment accuracy.

[0134] The specific determination process of whether the parking space is close to the wall is as follows: the parking space image information is collected, and the wall is recognized from the parking space image information. When the wall is obtained, the surface where the wall is located is marked as the reference surface. Then, the distance between each point of the parking space and the reference surface is collected. When there is a point whose distance to the reference surface is less than a preset value, it is determined that the parking space is close to the wall. When there is no point whose distance to the reference surface is less than the preset value, it is determined that the parking space is not close to the wall.

[0135] Through the above process, a more accurate judgment of proximity to the wall is achieved.

[0136] The simulation test results include a first test result and a second test result. When both the first test result and the second test result are passed, it means that the test is passed;

[0137] The specific process of obtaining the first test result is as follows:

[0138] When the parking space is a normal parking space, a first simulation test is performed, and when a vehicle enters the test parking space, real-time infrared sensing information collected by the infrared sensors at positions F1 and F3 is extracted;

[0139] At the same time, the real-time wireless sensing information collected by the wireless sensors of F2 and F4 is extracted;

[0140] The two infrared sensor information are compared with the preset standard vehicle entry infrared sensor parameters to obtain two infrared sensor comparison parameters, which is the similarity between the two infrared sensor information and the preset standard vehicle entry infrared sensor parameters;

[0141] Compare the two real-time wireless sensor information with the preset standard wireless sensor parameters after the vehicle enters, and obtain two wireless sensor comparison parameters;

[0142] Analyze two infrared sensor comparison parameters and two wireless sensor comparison parameters to obtain sensor device determination information;

[0143] Perform x tests to obtain x pieces of sensor device determination information. When the x pieces of sensor device determination information are consistent with the current vehicle parking status, generate a first test result. At this time, the first test result is that the first test verification is passed.

[0144] When any one of the x sensing devices determines that the information is inconsistent with the current parking condition of the vehicle, a first test result is generated. In this case, the first test result is that the first test verification fails;

[0145] When the parking space is a Class II normal parking space or a Class III normal parking space, the process of obtaining the first test result is substantially the same as the process of obtaining the Class I normal parking space, except that the number of real-time infrared sensor information and real-time wireless sensor information used for determination is different;

[0146] When the parking space is a normal parking space of the second category, two infrared sensor comparison parameters and one wireless sensor comparison parameter are analyzed, and the two infrared sensor information are compared with the preset standard infrared sensor parameters after the vehicle enters, and two infrared sensor comparison parameters are obtained; a real-time wireless sensor information is compared with the preset standard wireless sensor parameters after the vehicle enters, and the wireless sensor comparison parameters are obtained;

[0147] Analyze the two infrared sensor comparison parameters and the wireless sensor comparison parameters to obtain the sensor device judgment information;

[0148] The subsequent first test result determination process is the same as the first test result determination process under a normal parking space;

[0149] When the parking space is a normal parking space of the third category, an infrared sensor comparison parameter and a wireless sensor comparison parameter are analyzed, and the infrared sensor information is compared with the preset standard infrared sensor parameter after the vehicle enters to obtain an infrared sensor comparison parameter; the real-time wireless sensor information is compared with the preset standard wireless sensor parameter after the vehicle enters to obtain the wireless sensor comparison parameter;

[0150] Analyze the infrared sensor comparison parameters and the wireless sensor comparison parameters to obtain the sensor equipment judgment information;

[0151] The subsequent first test result determination process is the same as the first test result determination process in a normal parking space.

[0152] When the parking space is a normal parking space, the second simulation test is performed to detect whether there is a human body within a preset distance of the parking space through infrared sensors at positions F1 and F3;

[0153] When any one of the infrared sensors at the F1 and F3 positions detects the presence of a human body and the detection time exceeds a preset time, any one of the infrared sensors is used to detect whether the vehicle is started. When the vehicle is found to be started, the infrared sensors at the F1 and F3 positions are used again to detect the human body. When any one of the infrared sensors at the F1 and F3 positions detects the presence of a human body, the distance between the human body and the vehicle is immediately detected. When the distance between the human body and the vehicle is less than a preset value, human body determination information is generated. At this time, the human body determination information is human body information. When the human body determination information is compared with the actual human body presence state during the current test, the comparison result is obtained, and the comparison result is analyzed to generate a second test result.

[0154] When the comparison result is that the human body determination information is the same as the actual human body existence state during the current test, a second test result is generated. At this time, the second test result is that the second test verification is passed;

[0155] When the comparison result is that the human body determination information is different from the actual human body existence state during the current test, a second test result is generated, and the second test result is that the second test verification fails;

[0156] When the parking space is a Class II normal parking space, the process of obtaining the second test result is the same as the process of obtaining the Class I normal parking space, except that the position of the real-time infrared sensor used for determination is different;

[0157] When the parking space is a normal parking space of the third category, a second simulation test is performed, and human body detection is performed through the infrared sensor at the W1 position. When the infrared sensor at the W1 position detects the presence of a human body, the distance between the human body and the vehicle is immediately collected. When the distance between the human body and the vehicle is less than a preset value, human body determination information is generated. At this time, the human body determination information is human body information. When the human body determination information is compared with the actual human body presence state during the current test, the comparison result is obtained, and the comparison result is analyzed to generate a second test result;

[0158] When the comparison result is that the human body determination information is the same as the actual human body existence state during the current test, a second test result is generated. At this time, the second test result is that the second test verification is passed;

[0159] When the comparison result is that the human body determination information is different from the actual human body existence state during the current test, a second test result is generated, and the second test result is that the second test verification fails;

[0160] Through the above process, the purpose of human body detection in parking spaces is achieved. After the vehicle in the parking space is started, it can timely assess whether there are human bodies around the vehicle. If there are human bodies, timely warnings are given, thereby avoiding situations where the driver fails to check around the vehicle as required, the presence of human bodies in the parking space is not discovered in time, and the vehicle moves and hits human bodies. Better safety protection is achieved, and traffic safety accidents in parking lots are further guaranteed.

[0161] The test environment for the first test and the second test is to first install the required detection equipment on a single parking space and then conduct the test. After the first test and the second test on a single parking space are passed, the detection equipment for all parking spaces will be installed;

[0162] When the vehicle is in a type-one abnormal parking space, the process of obtaining the first test result is as follows: based on the determination of a type-one normal parking space, it is also necessary to analyze the image information collected by the image acquisition device, and analyze the image information to obtain an image analysis entry determination, which includes a vehicle presence determination and a vehicle non-existence determination;

[0163] When the sensor device determination information, the image analysis entry determination and the current vehicle parking condition are all consistent, a first test result is generated. In this case, the first test result is that the first test verification is passed;

[0164] When any one of the sensor device determination information and the image analysis entry determination is inconsistent with the current vehicle parking condition, a first test result is generated, and the first test result is that the first test verification fails;

[0165] When the vehicle is in the second type of abnormal parking space and the third type of abnormal parking space, the process of obtaining the first test result is the same as the process of obtaining the simulation test result when the vehicle is in the first type of abnormal parking space;

[0166] Through the above process, the vehicle status determination of abnormal parking spaces is realized, meeting different parking space status detection requirements.

[0167] When the parking space is a Class I abnormal parking space, a second simulation test is performed to detect whether there is a human body within a preset distance of the parking space through infrared sensors at positions F1 and F3;

[0168] When any one of the infrared sensors at the F1 and F3 positions detects a human body for a preset period of time, any one of the infrared sensors is used to detect whether the vehicle is started. When the vehicle is found to be started, the infrared sensors at the F1 and F3 positions are used again to detect the human body. When any one of the infrared sensors at the F1 and F3 positions detects a human body, the distance between the human body and the vehicle is immediately collected. When the distance between the human body and the vehicle is less than a preset value, human body determination information is generated. At this time, the human body determination information is human information.

[0169] At the same time, the image information collected by the image acquisition device is analyzed to determine whether there is a human body. When there is a human body, the distance between the human body and the vehicle is collected. When the collected distance between the human body and the vehicle is less than a preset value, human body determination information is generated. At this time, the human body determination information is human information;

[0170] Compare the two pieces of human body determination information with the actual human body existence status during the current test to obtain a comparison result;

[0171] When both comparison results are the same as the actual human body state during the current test, a second test result is generated, and the second test result is that the second test verification is passed;

[0172] When any one of the two comparison results is different from the actual human body state during the current test, a second test result is generated, and the second test result is that the second test verification fails;

[0173] When the vehicle is in the second type of abnormal parking space and the third type of abnormal parking space, the process of obtaining the second test result is the same as the process of obtaining the simulation test result when the vehicle is in the first type of abnormal parking space;

[0174] By setting the above rules, different status judgments of different types of parking spaces are realized, thereby achieving more accurate and rapid parking space status detection, which can play a role in auxiliary detection.

[0175] The infrared sensors in the first-class normal parking spaces, the second-class normal parking spaces, the third-class normal parking spaces, the first-class abnormal parking spaces, the second-class abnormal parking spaces and the third-class abnormal parking spaces are also used for driver standard monitoring;

[0176] The specific process of driver standard monitoring in the first, second and third normal parking spaces is as follows:

[0177] When the infrared sensor detects that the vehicle is started, the infrared sensor information collected by the infrared sensor within a preset time before the vehicle is started is extracted as calibration analysis information, and human body recognition is performed on the calibration analysis information;

[0178] Multiple vehicle prompt points are set, and the position of the recognized human body is analyzed. When the position of the human body appears within the preset range of the prompt points of multiple vehicles, no information is generated;

[0179] When the position of the human body does not appear within the preset range of the prompt points of multiple vehicles or the number of prompt points that appear is less than the preset value, a warning message is generated and sent out.

[0180] The prompt points include the center point of the front end of the vehicle, the center point of the rear end of the vehicle, the center point of the left side of the vehicle and the center point of the right side of the vehicle;

[0181] Through the above process, the infrared sensors installed in the parking spaces are more fully utilized to remind parking personnel to conduct a walk-around inspection of the vehicles, thereby reducing accidents.

[0182] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0183] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction 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 may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0184] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for detecting parking space status using wireless signal strength, characterized in that: The following steps are involved: Step 1: Collect parking space information, analyze the parking space information, and obtain parking space assessment information; Step 2: According to the specific content of the parking space assessment information, select the corresponding detection equipment for equipment installation; Step 3: After the detection equipment is installed, conduct actual simulation tests and obtain simulation test results; Step 4: Select whether to put the testing equipment into use or optimize it according to the specific content of the simulation test results; Use detection equipment to analyze the parking status of vehicles; The process of obtaining the parking space assessment information in step 1 is as follows: Extract parking space information, including the area of ​​a single parking space and whether the parking space is close to a wall; The parking space area information is analyzed. When the parking space area is larger than the preset area a1, the parking space is not close to the wall, and a normal parking space assessment is generated; When the parking space area is larger than the preset area a1, and the parking space is close to the wall, an abnormal parking space assessment is generated; When the parking space area is between the preset area a1 and a2, and the parking space is not close to the wall, a second-class normal parking space assessment is generated; When the parking space area is between the preset area a1 and a2, and the parking space is close to the wall, a second-class abnormal parking space assessment is generated; When the parking space area is smaller than the preset area a2, and the parking space is not close to the wall, three types of normal parking space assessments are generated; When the parking space area is smaller than the preset area a2 and the parking space is close to the wall, three types of abnormal parking space assessments are generated; The specific process of selecting the corresponding testing equipment for equipment installation is as follows: When the parking space assessment information is a normal parking space, the parking space plan information is collected and processed, and the installation positions F1, F2, F3 and F4 are selected for the installation of the detection equipment, wherein infrared sensors are installed at a preset height directly above the F1 and F3 positions, and wireless sensors are installed at the F2 and F4 positions; When the parking space assessment information is a type of abnormal parking space, on the basis of setting up detection equipment for a type of normal parking space, find the wall position, set up image acquisition equipment on the wall, and collect parking space image information; When the parking space assessment information is a Class II normal parking space, the parking space plan information is collected and processed, and the installation positions G1, G2 and G3 are selected for the installation of the detection equipment, wherein infrared sensors are installed at a preset height directly above the G1 and G3 positions, and a wireless sensor is installed at the G2 position; When the parking space assessment information is a Class II abnormal parking space, on the basis of setting up detection equipment in a Class II normal parking space, find the wall position, set up image acquisition equipment on the wall, and collect parking space image information; When the parking space assessment information is a normal parking space of the third category, the parking space plan information is collected and processed, and the installation positions W1 and W2 are selected for the installation of the detection equipment, wherein an infrared sensor is installed at a preset height directly above the W1 position, and a wireless sensor is installed at the W2 position; When the parking space assessment information is the third category of abnormal parking spaces, on the basis of setting up detection equipment in the three categories of normal parking spaces, the wall position is found, and image acquisition equipment is set up on the wall to collect parking space image information.

2. The method for detecting parking space status by using wireless signal strength according to claim 1, characterized in that: When the parking space assessment information is a normal parking space, the selection process of the installation positions F1, F2, F3 and F4 is as follows: Extract the collected parking space plan information, mark the midpoints of the two widths of the parking space in the parking space plan as points b1 and b2, and connect b1 and b2 to obtain the line segment L1; Divide the line segment L1 into five equal parts, and mark the four points on the line segment L1 into five equal parts as installation positions F1, F2, F3 and F4 in sequence according to the direction of entering the parking space; When the parking space assessment information is a Class I abnormal parking space, an image acquisition device is installed at a preset height of the wall closest to the parking space; When the parking space assessment information is a Class II normal parking space, the selection process of the installation positions G1, G2 and G3 is as follows: Extract the collected parking space plan information, mark the midpoints of the two widths of the parking space in the parking space plan as points c1 and c2, and connect c1 and c2 to obtain line segment L2; Divide the line segment L2 into four equal parts, and mark the three points on the line segment L2 as installation positions G1, G2, and G3 in sequence according to the direction of entering the parking space; When the parking space assessment information is a Class II abnormal parking space, an image acquisition device is installed at a preset height of the wall closest to the parking space; When the parking space assessment information is a normal parking space of type three, the selection process of the installation positions W1 and W2 is as follows: Extract the collected parking space plan information, extract the center point of the parking space plan information, and mark it as point Y; Then, with point Y as the endpoint, perpendicular line segments are drawn to the two wide sides on the parking space plan information to obtain line segments L3 and L4. The midpoints of line segments L3 and L4 are extracted, that is, the installation positions are obtained, among which the installation position W1 is close to the parking space entrance direction, and the installation position W2 is far from the parking space entrance direction.

3. The method for detecting parking space status by using wireless signal strength according to claim 1, characterized in that: The simulation test results include a first test result and a second test result. When both the first test result and the second test result are passed, it means that the test is passed; The specific process of obtaining the first test result is as follows: When the parking space is a normal parking space, a first simulation test is performed, and when a vehicle enters the test parking space, real-time infrared sensing information collected by the infrared sensors at positions F1 and F3 is extracted; At the same time, the real-time wireless sensing information collected by the wireless sensors of F2 and F4 is extracted; Compare the two infrared sensor information with the preset standard vehicle entry infrared sensor parameters to obtain two infrared sensor comparison parameters; Compare the two real-time wireless sensor information with the preset standard wireless sensor parameters after the vehicle enters, and obtain two wireless sensor comparison parameters; Analyze two infrared sensor comparison parameters and two wireless sensor comparison parameters to obtain sensor device determination information; Perform x tests to obtain x pieces of sensor device determination information. When the x pieces of sensor device determination information are consistent with the current vehicle parking status, generate a first test result. At this time, the first test result is that the first test verification is passed. When any one of the x sensing devices determines that the information is inconsistent with the current parking condition of the vehicle, a first test result is generated. In this case, the first test result is that the first test verification fails; When the parking space is a Class II normal parking space or a Class III normal parking space, the process of obtaining the first test result refers to the process of obtaining the first test result of a Class I normal parking space; When the parking space is a normal parking space of the second category, two infrared sensor comparison parameters and one wireless sensor comparison parameter are analyzed, and the two infrared sensor information are compared with the preset standard infrared sensor parameters after the vehicle enters, and two infrared sensor comparison parameters are obtained; a real-time wireless sensor information is compared with the preset standard wireless sensor parameters after the vehicle enters, and the wireless sensor comparison parameters are obtained; Analyze the two infrared sensor comparison parameters and the wireless sensor comparison parameters to obtain the sensor device judgment information; The subsequent first test result determination process refers to the first test result determination process under a normal parking space; When the parking space is a normal parking space of the third category, an infrared sensor comparison parameter and a wireless sensor comparison parameter are analyzed, and the infrared sensor information is compared with a preset standard infrared sensor parameter after a vehicle enters, and an infrared sensor comparison parameter is obtained; Compare the real-time wireless sensor information with the preset standard wireless sensor parameters after the vehicle enters, and obtain the wireless sensor comparison parameters; Analyze the infrared sensor comparison parameters and the wireless sensor comparison parameters to obtain the sensor equipment judgment information; The subsequent first test result determination process refers to the first test result determination process under a normal parking space.

4. The method for detecting parking space status by using wireless signal strength according to claim 3, characterized in that: The process of obtaining the second test result is as follows: when the parking space is a normal parking space, a second simulation test is performed to detect whether there is a human body within a preset distance of the parking space through infrared sensors at positions F1 and F3; When any one of the infrared sensors at the F1 and F3 positions detects the presence of a human body and the detection time exceeds a preset time, any one of the infrared sensors is used to detect whether the vehicle is started. When the vehicle is found to be started, the infrared sensors at the F1 and F3 positions are used again to detect the human body. When any one of the infrared sensors at the F1 and F3 positions detects the presence of a human body, the distance between the human body and the vehicle is immediately detected. When the distance between the human body and the vehicle is less than a preset value, human body determination information is generated. At this time, the human body determination information is human body information. When the human body determination information is compared with the actual human body presence state during the current test, the comparison result is obtained, and the comparison result is analyzed to generate a second test result. When the comparison result is that the human body determination information is the same as the actual human body existence state during the current test, a second test result is generated. At this time, the second test result is that the second test verification is passed; When the comparison result is that the human body determination information is different from the actual human body existence state during the current test, a second test result is generated, and the second test result is that the second test verification fails; When the parking space is a Class II normal parking space, the process of obtaining the second test result refers to the process of obtaining the second test result of a Class I normal parking space; When the parking space is a normal parking space of the third category, a second simulation test is performed, and human body detection is performed through the infrared sensor at the W1 position. When the infrared sensor at the W1 position detects the presence of a human body, the distance between the human body and the vehicle is immediately collected. When the distance between the human body and the vehicle is less than a preset value, human body determination information is generated. At this time, the human body determination information is human body information. When the human body determination information is compared with the actual human body presence state during the current test, the comparison result is obtained, and the comparison result is analyzed to generate a second test result; When the comparison result is that the human body determination information is the same as the actual human body existence state during the current test, a second test result is generated. At this time, the second test result is that the second test verification is passed; When the comparison result is that the human body determination information is different from the actual human body existence state during the current test, a second test result is generated. At this time, the second test result is that the second test verification fails.

5. The method for detecting parking space status by using wireless signal strength according to claim 3, characterized in that: When the vehicle is in a type-one abnormal parking space, the process of obtaining the first test result is as follows: based on the determination of a type-one normal parking space, it is also necessary to analyze the image information collected by the image acquisition device, and analyze the image information to obtain an image analysis entry determination, which includes a vehicle presence determination and a vehicle non-existence determination; When the sensor device determination information, the image analysis entry determination and the current vehicle parking condition are all consistent, a first test result is generated. In this case, the first test result is that the first test verification is passed; When any one of the sensor device determination information and the image analysis entry determination is inconsistent with the current vehicle parking condition, a first test result is generated, and the first test result is that the first test verification fails; When the vehicle is in the second type of abnormal parking space or the third type of abnormal parking space, the process of obtaining the first test result refers to the process of obtaining the simulation test result when the vehicle is in the first type of abnormal parking space.

6. The method for detecting parking space status by using wireless signal strength according to claim 3, characterized in that: When the parking space is a Class I abnormal parking space, a second simulation test is performed to detect whether there is a human body within a preset distance of the parking space through infrared sensors at positions F1 and F3; When any one of the infrared sensors at the F1 and F3 positions detects a human body and the time period exceeds a preset time, any one of the infrared sensors is used to detect whether the vehicle is started. When the vehicle is found to be started, the infrared sensors at the F1 and F3 positions are used again to detect the human body. When any one of the infrared sensors at the F1 and F3 positions detects a human body, the distance between the human body and the vehicle is immediately collected. When the distance between the human body and the vehicle is less than a preset value, human body determination information is generated. At this time, the human body determination information is human information. At the same time, the image information collected by the image acquisition device is analyzed to determine whether there is a human body. When there is a human body, the distance between the human body and the vehicle is collected. When the collected distance between the human body and the vehicle is less than a preset value, human body determination information is generated. At this time, the human body determination information is human information; Compare the two pieces of human body determination information with the actual human body existence status during the current test to obtain a comparison result; When both comparison results are the same as the actual human body state during the current test, a second test result is generated, and the second test result is that the second test verification is passed; When any one of the two comparison results is different from the actual human body state during the current test, a second test result is generated, and the second test result is that the second test verification fails; When the vehicle is in the second type of abnormal parking space and the third type of abnormal parking space, the process of obtaining the second test result refers to the process of obtaining the simulation test result when the vehicle is in the first type of abnormal parking space.

7. The method for detecting parking space status by using wireless signal strength according to claim 1, characterized in that: The infrared sensors in the first-class normal parking spaces, the second-class normal parking spaces, the third-class normal parking spaces, the first-class abnormal parking spaces, the second-class abnormal parking spaces and the third-class abnormal parking spaces are also used for driver standard monitoring; The specific process of driver standard monitoring in the first, second and third normal parking spaces is as follows: When the infrared sensor detects that the vehicle is started, the infrared sensor information collected by the infrared sensor within a preset time before the vehicle is started is extracted as calibration analysis information, and human body recognition is performed on the calibration analysis information; Multiple vehicle prompt points are set, and the position of the recognized human body is analyzed. When the position of the human body appears within the preset range of the prompt points of multiple vehicles, no information is generated; When the position of the human body does not appear within the preset range of the prompt points of multiple vehicles or the number of prompt points that appear is less than the preset value, a warning message is generated and sent out; The prompt points include the center point of the front end of the vehicle, the center point of the rear end of the vehicle, the center point of the left side of the vehicle and the center point of the right side of the vehicle.

Images