CN102722997A - Parking space detection method and system thereof - Google Patents
Parking space detection method and system thereof Download PDFInfo
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- CN102722997A CN102722997A CN2011104602783A CN201110460278A CN102722997A CN 102722997 A CN102722997 A CN 102722997A CN 2011104602783 A CN2011104602783 A CN 2011104602783A CN 201110460278 A CN201110460278 A CN 201110460278A CN 102722997 A CN102722997 A CN 102722997A
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Abstract
The invention discloses a parking space detection method and a system thereof and relates to a wireless sensor network technology. The parking space detection system disclosed in the invention comprises a data management center and a parking space detection node apparatus, wherein the data management center is used to send data to the parking space detection node apparatus, receive a determination result of whether there is a vehicle parked in a parking space uploaded by the parking space detection node apparatus and carry out management on the parking space according to the received determination result; the parking space detection node apparatus is used to receive the data sent by the data management center, determine a signal strength indicator (RSSI) value according to frequency spectrum information of the received data, combines the current determined signal strength indicator value and a historical record data updating RSSI threshold, compares the current determined signal strength indicator value with the updated RSSI threshold, determine whether there is the vehicle in the parking space and upload the determination result to the data management center. The invention also discloses a parking space detection method. By using technical scheme of the invention, the parking space can be accurately measured and cost is reduced.
Description
Technical field
The present invention relates to wireless sensor network technology, particularly a kind of parking space detection method and system.
Background technology
Current traffic problems have become metropolitan common fault, the growth at full speed of automobile pollution make the trip and parking problem increasingly serious, the people's that parking difficulty has had a strong impact on trip quality.Intelligent parking space detects the parking space information that the parking lot then can be provided in real time; The total management system of urban parking area makes people can understand current parking stall in real time and takies situation; Reasonably induce people to sail idle parking lot into, reduce down time, raise the efficiency.
Main at present employing is carried out the parking stall detection for following several kinds:
Infrared detector has or not through infrared reflection measurement vehicle; Measure through infrared transmission and receive realizing; Can effectively detect vehicle-state fast, still, can not have dirt, overcover to influence infrared reception transmitter the environmental requirement that is equipped with of infrared detector.This type sensor relatively is applicable to the parking garage, and the environment taken care of of someone is then inapplicable for road both side roads parking stall for a long time.
Ultrasonic detector is through hyperacoustic emission and reflection measurement vehicle-state; But the same requirement of this mode can not have dirt, overcover to block ultrasonic emitting and receiving trap; Otherwise influence accuracy, be applicable to the parking garage, also be not suitable for road bypass parking lot.
Video detecting device comes the state of measuring vehicle through the image comparison of video; Since the installation site of camera to environmental requirement than higher; The image comparison complex algorithm; Also need the RP assistant images contrast identification parking stall on ground, system is fit to the minority parking stall measure of simple environment, and is very big to the parking stall detection difficulty of complicated highway section.
Summary of the invention
Technical matters to be solved by this invention is a kind of parking space detection method and system to be provided, to improve the reliability that the parking stall is detected.
In order to solve the problems of the technologies described above, the invention discloses a kind of parking stall detection system, comprise said control data corporation and parking stall detection node device at least, wherein:
Said control data corporation sends data to said parking stall detection node device, and whether the parking stall that reception parking stall detection node device is uploaded stops to have the judged result of vehicle, and according to the judged result that receives the parking stall is managed;
Said parking stall detection node device; Receive the data that said control data corporation sends; Confirm signal intensity indication (RSSI) value according to the spectrum information that receives data, and combine current definite signal strength indication value and historical record data to upgrade the RSSI threshold value, current definite signal strength indication value and the RSSI threshold value after the renewal are compared; Judge that whether the parking stall has car, is uploaded to said control data corporation with judged result.
Preferably, in the said system, said parking stall detection node device comprises wireless device unit and CPU, wherein:
Said wireless device unit; Receive the data of said control data corporation transmission and send to said CPU; And the spectrum information that receives data is carried out signal strength analysis obtain signal strength indication value, and this signal strength indication value is sent to said CPU;
Said CPU; Receive the data that said wireless device unit is sent, resolve this data, confirm that these data are the data that are used to detect the parking stall if resolve; Judge then whether the signal strength indication value that said wireless device unit is sent belongs to no car RSSI average threshold scope; When the signal strength indication value of sending when said wireless device unit belongs to no car RSSI average threshold scope, confirm that the parking stall do not have car, when the signal strength indication value of said wireless device unit transmission exceeds no car RSSI average threshold scope; Confirm that there is car on the parking stall, and judged result is uploaded to said control data corporation; And definite parking stall is not when having car, the signal strength indication value of sending according to said wireless device unit and the no car RSSI average threshold scope of no car RSSI value renewal of historical record; When confirming that there is car on the parking stall; The absolute value of the signal strength indication value of sending with said wireless device unit deducts no car RSSI mean value and has obtained car RSSI hop value; Calculate the mean value that car RSSI hop value is arranged that car RSSI hop value and historical record are arranged calculated, this mean value multiply by value that RSSI has a car minimum change parameter has a car RSSI saltus step threshold value after as renewal.
Preferably, in the said system, said CPU; Receive the data that said wireless device unit is sent; Resolve this data, confirm that these data are the data that are used for configuration management, each configuration parameter and the low-power consumption sleep control information of this parking stall detection node device then are set according to received data if resolve; And carry out work according to said configuration parameter, carry out low-power consumption sleep control according to the low-power consumption sleep control information of being disposed;
Wherein, configuration parameter comprises that at least data transmitting period, data sendaisle and data transmission power and RSSI have car minimum change parameter;
Low-power consumption sleep control information comprises dormancy period at least.
Preferably, in the said system, said parking stall detection node device also comprises:
Geomagnetic sensor is measured the magnetic field parameter of parking stall home environment, and the measured field intensity level is sent to said CPU;
Said CPU; Receive the field strength values that said geomagnetic sensor sends, judge whether the field strength values of current reception belongs to no car magnetic field average threshold scope, when belonging to no car magnetic field average threshold scope as if the field strength values of current reception; Confirm that the parking stall do not have car; If the field strength values of current reception exceeds no car magnetic field average threshold scope, confirm that there is car on the parking stall, and judged result is uploaded to said control data corporation; And definite parking stall is not when having car; Upgrade no car magnetic field average threshold scope according to the field strength values of current reception and the no car magnetic field value of historical record; When confirming that there is car on the parking stall; Deduct no car magnetic field mean value with the absolute value of the field strength values of current reception and obtained car magnetic field hop value; Calculate the mean value that car magnetic field hop value is arranged that car magnetic field hop value and historical record are arranged that is calculated, this mean value multiply by the value that there is car minimum change parameter in magnetic field as after upgrading saltus step threshold value in car magnetic field being arranged.
Preferably, in the said system, said CPU; Receive the data that are used to detect the parking stall that control data corporation issues at the same time; And geomagnetic sensor send field strength values the time, judge according to the data that are used to detect the parking stall whether the parking stall has car respectively, judge according to field strength values whether the parking stall has car; When two judged results are consistent; Upload judged result to said control data corporation, when two judged results were repelled each other, the judged result that weighted value is big was uploaded to said control data corporation.
The invention also discloses a kind of parking space detection method, comprising:
Control data corporation sends data to parking stall detection node device;
Detection node device in parking stall receives the data that control data corporation sends in the detection system of parking stall; Confirm signal intensity indication (RSSI) value according to the spectrum information that receives data; Upgrade the RSSI threshold value in conjunction with current definite signal strength indication value and historical record data; Current definite signal strength indication value and the RSSI threshold value after the renewal are compared, judge whether the parking stall has car, and judged result is uploaded to said control data corporation;
Whether the parking stall that said control data corporation reception parking stall detection node device is uploaded stops to have the judged result of vehicle, according to the judged result that receives the parking stall is managed.
Preferably; In the said method; Spectrum information according to receiving data is confirmed signal strength indication value, and combines current definite signal strength indication value and historical record data to upgrade the RSSI threshold value, and current definite signal strength indication value and the RSSI threshold value after the renewal are compared; Judge whether the parking stall has car, and judged result is uploaded to said control data corporation refers to:
Said parking stall detection node device carries out signal strength analysis to the spectrum information that receives data and obtains signal strength indication value; Resolve the data of being received; If resolve confirming these data is the data that are used to detect the parking stall, then whether the signal strength indication value that obtains of discriminatory analysis belongs to no car RSSI average threshold scope, when the signal strength indication value that obtains when analysis belongs to no car RSSI average threshold scope; Confirm that the parking stall do not have car; Judged result is uploaded to said control data corporation, and the mean value of the no car RSSI value of signal strength indication value that computational analysis obtains and historical record is updated to no car RSSI average threshold with this mean value;
The signal strength indication value that obtains when analysis exceeds no car RSSI average threshold scope; Confirm that there is car on the parking stall; Judged result is uploaded to said control data corporation; Deduct no car RSSI mean value with the absolute value of analyzing the signal strength indication value that obtains and obtained car RSSI hop value; Calculate the mean value that car RSSI hop value is arranged that car RSSI hop value and historical record are arranged calculated, this mean value multiply by value that RSSI has a car minimum change parameter has a car RSSI saltus step threshold value after as renewal.
Preferably; In the said method; Said parking stall detection node device is resolved and is confirmed that these data are the data that are used for configuration management; Each configuration parameter and the low-power consumption sleep control information of this parking stall detection node device then are set according to received data, carry out work, carry out low-power consumption sleep control according to the low-power consumption sleep control information of being disposed according to set configuration parameter;
Wherein, configuration parameter comprises that at least data transmitting period, data sendaisle and data transmission power and RSSI have car minimum change parameter;
Low-power consumption sleep control information comprises dormancy period at least.
Preferably; In the said method, said parking stall detection node device is also measured the magnetic field parameter of parking stall home environment, judges whether current measured field intensity level belongs to no car magnetic field average threshold scope; When if current measured field intensity level belongs to no car magnetic field average threshold scope; Confirm that the parking stall do not have car, judged result is uploaded to said control data corporation, upgrade no car magnetic field average threshold scope according to the no car magnetic field value of current measured field intensity level and historical record;
If current measured field intensity level exceeds no car magnetic field average threshold scope; Confirm that there is car on the parking stall; Judged result is uploaded to said control data corporation; Deduct no car magnetic field mean value with the absolute value of current measured field intensity level and obtained car magnetic field hop value, calculate the mean value that car magnetic field hop value is arranged that car magnetic field hop value and historical record are arranged that is calculated, this mean value multiply by the value that there is car minimum change parameter in magnetic field as after upgrading saltus step threshold value in car magnetic field being arranged.
Preferably, in the said method, said parking stall detection node device; Receive that control data corporation issues be used to detect the data on parking stall the time; When measuring the field strength values of parking stall home environment, judge according to the data that are used to detect the parking stall whether the parking stall has car respectively, judge according to field strength values whether the parking stall has car; When two judged results are consistent; Upload judged result to said control data corporation, when two judged results were repelled each other, the judged result that weighted value is big was uploaded to said control data corporation.
The present techniques scheme has been selected the RSSI module for use, and dynamically arranges the RSSI threshold value, can accurately measure the parking stall, and reduce cost.In addition, the application's preferred version has also increased the earth magnetism module on the basis of adopting the RSSI module, to improve the accuracy of measuring.In addition, the present techniques scheme has overcome also in the detection technique of existing parking stall that means are single, environmental suitability difference and the high problem of installation and maintenance cost.
Embodiment
Fig. 1 is a detection system structural representation in parking stall in the present embodiment 1;
Fig. 2 is a parking stall detection node apparatus structure synoptic diagram in the present embodiment 2;
Fig. 3 realizes the process flow diagram that the parking stall is detected in the present embodiment 3.
Embodiment
For making the object of the invention, technical scheme and advantage clearer, hereinafter will combine accompanying drawing that technical scheme of the present invention is done further explain.Need to prove, under the situation of not conflicting, the combination each other arbitrarily of the application's embodiment and the characteristic among the embodiment.
Embodiment 1
Present embodiment provides a kind of parking stall detection system, and is as shown in Figure 1, comprises a data administrative center and a plurality of parking stalls detection node device at least.
Control data corporation sends data to parking stall detection node device, and receives the judged result whether parking stall that the parking stall detection node uploads stops to have vehicle, and according to the judged result that receives the parking stall is managed.For example, external room, user prompt parking stall information etc.
Parking stall detection node device; Receive the data that control data corporation sends; Confirm signal intensity indication (RSSI) value according to the spectrum information that receives data, and combine current definite signal strength indication value and historical record data to upgrade the RSSI threshold value, current definite signal strength indication value and the RSSI threshold value after the renewal are compared; Judge whether the parking stall has car, and judged result is uploaded to control data corporation.
In the present embodiment, parking stall detection node device can comprise CPU and wireless device unit.
Wireless device unit receives the data that control data corporation sends and also sends to CPU, and the spectrum information that receives data is carried out signal strength analysis obtains signal strength indication value, and this signal strength indication value is sent to CPU;
CPU; Receive the data that wireless device unit is sent, resolve this data, confirm that these data are the data that are used to detect the parking stall if resolve; Judge then whether the signal strength indication value that wireless device unit is sent belongs to no car RSSI average threshold scope; When the signal strength indication value of sending when wireless device unit belongs to no car RSSI average threshold scope, confirm that the parking stall do not have car, when the signal strength indication value of wireless device unit transmission exceeds no car RSSI average threshold scope; Confirm that there is car on the parking stall, and judged result is uploaded to said control data corporation; And definite parking stall is not when having car; Upgrade no car RSSI average threshold scope according to the signal strength indication value of wireless device unit transmission and the no car RSSI value of historical record; When confirming that there is car on the parking stall; The absolute value of the signal strength indication value of sending with wireless device unit deducts no car RSSI mean value and has obtained car RSSI hop value; Confirm the mean value that car RSSI hop value is arranged that car RSSI hop value and historical record are arranged calculated, this mean value multiply by value that RSSI has a car minimum change parameter has a car RSSI hop value after as renewal.
CPU; After resolving the data of wireless device unit transmission; If confirm that these data are the data that are used for configuration management; Each configuration parameter and the low-power consumption sleep control information of this parking stall detection node device then are set according to received data, and carry out work, carry out low-power consumption sleep control according to the low-power consumption sleep control information of being disposed according to the configuration parameter that is disposed;
Wherein, configuration parameter wraps data transmitting period, data sendaisle and data transmission power and RSSI has car minimum change parameter at least;
Low-power consumption sleep control information comprises dormancy period at least.
Also have in some schemes, consider that the RSSI value may receive environmental impact, detect to combine the RSSI value to carry out the parking stall so in the detection node device of parking stall, increased geomagnetic sensor, thereby strengthen the adaptability of parking stall detection node device environment.At this moment, detection node device in parking stall is as shown in Figure 2.Geomagnetic sensor is measured the magnetic field parameter of parking stall home environment, and the measured field intensity level is sent to CPU.Particularly; Geomagnetic sensor can be the magnetic field parameter that when the triggering of receiving CPU, begins to measure the parking stall home environment, and CPU can be to begin to trigger geomagnetic sensor when detecting being used to of receiving that control data corporation sends the data on parking stall to measure.Also have in some schemes; Geomagnetic sensor also can periodic measurement parking stall home environment magnetic field parameter and be uploaded to CPU; CPU sends to control data corporation with magnetic field parameter and judged result through wireless device unit; Wherein, can be that control data corporation is handed down to CPU through the packet that is used for configuration management the measuring period of geomagnetic sensor.
CPU; Whether the field strength values of judging current reception belongs to no car magnetic field average threshold scope; When if the field strength values of current reception belongs to no car magnetic field average threshold scope, confirm that the parking stall do not have car, exceed no car magnetic field average threshold scope as if the field strength values of current reception; Confirm that there is car on the parking stall, and judged result is uploaded to said control data corporation; And definite parking stall is not when having car; Upgrade no car magnetic field average threshold scope according to the field strength values of current reception and the no car magnetic field value of historical record; When confirming that there is car on the parking stall; Deduct no car magnetic field mean value with the absolute value of the field strength values of current reception and obtained car magnetic field hop value; Calculate the mean value that car magnetic field hop value is arranged that car magnetic field hop value and historical record are arranged that is calculated, this mean value multiply by the value that there is car minimum change parameter in magnetic field as after upgrading car magnetic field hop value being arranged.
Need to prove; CPU is received the data that are used to detect the parking stall that control data corporation issues at the same time, when the detection starting earth magnetism obtains the field strength values of geomagnetic sensor transmission; Can be respectively judge according to the RSSI data that are used to detect the parking stall whether the parking stall has car; Judge according to field strength values whether the parking stall has car, when two judged results are consistent, directly upload judged result to control data corporation; When two judged results were repelled each other, the judged result that weighted value is big was uploaded to said control data corporation.Wherein, the weighted value of these two judged results can be given parking stall detection node device through the data configuration that issues by control data corporation.
Embodiment 2
Present embodiment is introduced a kind of parking space detection method, and this method can realize based on the system that embodiment 1 is provided.Particularly, this method comprises the steps, and is as shown in Figure 3:
Step 100, control data corporation sends data to parking stall detection node device.
Step 200 when parking stall detection node device receives the data of control data corporation transmission in the detection system of parking stall, is confirmed signal intensity indication (RSSI) value according to the spectrum information that receives data.
In this step,, parking stall detection node device obtains signal strength indication value thereby carrying out signal strength analysis to the spectrum information that receives data.
Step 300; Parking stall detection node device combines current definite signal strength indication value and historical record data to upgrade the RSSI threshold value; Parking stall detection node device compares current definite signal strength indication value and the RSSI threshold value after the renewal; Judge whether the parking stall has car, and judged result is uploaded to said control data corporation.
In this step, parking stall detection node device is resolved the data received, confirms that these data are the data that are used to detect the parking stall if resolve, and then whether the signal strength indication value that obtains of discriminatory analysis belongs to no car RSSI average threshold scope; When the signal strength indication value that obtains when analysis belongs to no car RSSI average threshold scope, confirm that the parking stall do not have car, the signal strength indication value that obtains when analysis exceeds no car RSSI average threshold scope, confirms that there is car on the parking stall.
Wherein, The signal intensity indication information that receives and historical record data compared be with the detailed process that dynamically updates the RSSI threshold value; Judge at first whether current RSSI value is valid data (being that the interior data of rssi measurement scope are valid data); As effectively, the no car RSSI mean value of more current RSSI value and historical record has added car RSSI minimum transition threshold value sum, judges that these data are no car RSSI values or car RSSI value is arranged.In this scope, belong to no car RSSI value like current RSSI value, represent that promptly the parking stall do not have car, at this moment, current RSSI value is added no car RSSI Value Data storehouse, the no car RSSI mean value that calculating makes new advances.
Current RSSI value surpasses no car RSSI mean value and has added car RSSI minimum transition threshold value sum; Represent that promptly there is car on the parking stall; Then the absolute value with current RSSI value deducts no car RSSI mean value, calculate make new advances car RSSI hop value arranged, the car RSSI hop value adding that has that again will be new has car RSSI hop value database; Calculating makes new advances have that car RSSI saltus step mean value, this mean value multiply by that RSSI has that car minimum change parameter (this parameter can be provided with) must make new advances car RSSI minimum transition threshold value arranged.
Step 300, whether the parking stall that control data corporation reception parking stall detection node device is uploaded stops to have the judged result of vehicle, according to the judged result that receives the parking stall is managed.For example, external room, user prompt parking stall information etc.
Consider that the own metal construction of automobile when the ground magnetic detector can be through vehicle parking influence near having or not of the magnetic field judgement vehicle geomagnetic sensor, and geomagnetic sensor belongs to passive measurement, can stronger adaptability be arranged environment.So on the basis of said method; Some schemes have increased the earth magnetism detection mode; Be about to RSSI and detect with the earth magnetism detection to combine to judge whether the parking stall has car (judgement has car weight parameter and earth magnetism to judge according to RSSI has the car weight parameter to judge), thereby improve the detection accuracy rate.At this moment; Parking stall detection node device is measured the magnetic field parameter of parking stall home environment through geomagnetic sensor; Measured field intensity level and historical record data are compared to dynamically update magnetic field threshold value; Again with the measured field intensity level with upgrade after no car magnetic field mean value with car magnetic field minimum transition threshold ratio is arranged, judged whether car.Need to prove that the magnetic field parameter of measuring the parking stall home environment comprises X, Y, Z axle, the related field strength values of present embodiment is the weighted sum of the magnetic field intensity of these three axles.Weight as for each can be carried out long-range setting by control data corporation than parameter.Wherein, the CPU in the detection node of parking stall can receive that control data corporation sends be used to detect the data on parking stall the time, trigger the magnetic field parameter that geomagnetic sensor is measured the parking stall home environment.The measuring period of the data configuration geomagnetic sensor that is used for configuration management that CPU also can be sent according to control data corporation; Like this, according to magnetic field parameter that this, geomagnetic sensor can periodic measurement parking stall home environment measuring period and be uploaded to CPU.
Particularly; Parking stall detection node device judges whether current measured field intensity level belongs to no car magnetic field average threshold scope; When if current measured field intensity level belongs to no car magnetic field average threshold scope; Confirm that the parking stall do not have car, judged result is uploaded to said control data corporation, upgrade no car magnetic field average threshold scope according to the no car magnetic field value of current measured field intensity level and historical record;
If current measured field intensity level exceeds no car magnetic field average threshold scope; Confirm that there is car on the parking stall; Judged result is uploaded to said control data corporation; Deduct no car magnetic field mean value with the absolute value of current measured field intensity level and obtained car magnetic field hop value, calculate the mean value that car magnetic field hop value is arranged that car magnetic field hop value and historical record are arranged that is calculated, this mean value multiply by the value that there is car minimum change parameter in magnetic field as after upgrading car magnetic field hop value being arranged.
Need to prove; When parking stall detection node device detects the data on parking stall in being used to of receiving that control data corporation issues; If also measured the field strength values of parking stall home environment, then judge according to the data that are used to detect the parking stall whether the parking stall has car respectively, judge according to field strength values whether the parking stall has car; When two judged results are consistent; Upload judged result to control data corporation again, when two judged results were repelled each other, the judged result that weighted value is big was uploaded to said control data corporation.And the weighted value of these two judged results can be given parking stall detection node device through the data configuration that issues by control data corporation.
Have in addition in some schemes, when adopting RSSI detection mode and earth magnetism detection mode at the same time, also increased dynamic-configuration parking stall detection node function, and low-power consumption sleep control function.At this moment, control data corporation sends to parking stall detection node device with the configuration parameter of parking stall detection node device and low-power consumption sleep control information with the form of packet.Like this, after CPU received that at every turn data comprise, the resolution data bag when confirming that this packet is the packet that is used to manage, therefrom extracted recording configuration parameter and low-power consumption sleep control information.And carry out corresponding data transmission according to the configuration parameter that is write down, carry out low-power consumption sleep control according to the low-power consumption sleep control information of being write down.
Wherein, configuration parameter comprises data transmitting period, data sendaisle and data transmission power at least.Certainly except these configuration parameters, can also comprise that duty, RSSI have car saltus step threshold value, RSSI to have car minimum change parameter, earth magnetism to have car saltus step threshold value (three of X, Y, Z), earth magnetism to have weight proportion parameter, the RSSI of three of car minimum change parameters (three of X, Y, Z), earth magnetism to judge the car weight parameter is arranged, earth magnetism is judged important parameters such as the car weight parameter is arranged.Low-power consumption sleep control information then comprises dormancy period at least.
Can find out that from the foregoing description the present techniques scheme is embedded in the parking stall pick-up unit underground, thereby be fit to the installation environment of various indoor and outdoors; And underground owing to being embedded in, it does not receive environmental impacts such as sleet, and detecting reliability is high; And need not manual maintenance, cost is low.In addition, the present techniques scheme is passed through the value of record sensor, the filtering invalid data, and the dynamic calculation judgment threshold, thus can get rid of autumn and winter early summer climatic environment and the influence of surrounding enviroment variation to detecting, reduce False Rate.The application's preferred version can also pass through the cycle dormancy, and the low-power consumption mode of timed sending uploads data to relaying or gateway, is transferred to parking stall administrative center.Wherein, the transmission cycle of some important parameters can dispose in real time, to make things convenient for the networking debugging.
One of ordinary skill in the art will appreciate that all or part of step in the said method can instruct related hardware to accomplish through program, said program can be stored in the computer-readable recording medium, like ROM (read-only memory), disk or CD etc.Alternatively, all or part of step of the foregoing description also can use one or more integrated circuit to realize.Correspondingly, each the module/unit in the foregoing description can adopt the form of hardware to realize, also can adopt the form of software function module to realize.The application is not restricted to the combination of the hardware and software of any particular form.
The above is merely preferred embodiments of the present invention, is not to be used to limit protection scope of the present invention.All within spirit of the present invention and principle, any modification of being made, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a parking stall detection system is characterized in that, this system comprises said control data corporation and parking stall detection node device at least, wherein:
Said control data corporation sends data to said parking stall detection node device, and whether the parking stall that reception parking stall detection node device is uploaded stops to have the judged result of vehicle, and according to the judged result that receives the parking stall is managed;
Said parking stall detection node device; Receive the data that said control data corporation sends; Confirm signal intensity indication (RSSI) value according to the spectrum information that receives data, and combine current definite signal strength indication value and historical record data to upgrade the RSSI threshold value, current definite signal strength indication value and the RSSI threshold value after the renewal are compared; Judge that whether the parking stall has car, is uploaded to said control data corporation with judged result.
2. the system of claim 1 is characterized in that, said parking stall detection node device comprises wireless device unit and CPU, wherein:
Said wireless device unit; Receive the data of said control data corporation transmission and send to said CPU; And the spectrum information that receives data is carried out signal strength analysis obtain signal strength indication value, and this signal strength indication value is sent to said CPU;
Said CPU; Receive the data that said wireless device unit is sent, resolve this data, confirm that these data are the data that are used to detect the parking stall if resolve; Judge then whether the signal strength indication value that said wireless device unit is sent belongs to no car RSSI average threshold scope; When the signal strength indication value of sending when said wireless device unit belongs to no car RSSI average threshold scope, confirm that the parking stall do not have car, when the signal strength indication value of said wireless device unit transmission exceeds no car RSSI average threshold scope; Confirm that there is car on the parking stall, and judged result is uploaded to said control data corporation; And definite parking stall is not when having car, the signal strength indication value of sending according to said wireless device unit and the no car RSSI average threshold scope of no car RSSI value renewal of historical record; When confirming that there is car on the parking stall; The absolute value of the signal strength indication value of sending with said wireless device unit deducts no car RSSI mean value and has obtained car RSSI hop value; Calculate the mean value that car RSSI hop value is arranged that car RSSI hop value and historical record are arranged calculated, this mean value multiply by value that RSSI has a car minimum change parameter has a car RSSI saltus step threshold value after as renewal.
3. system as claimed in claim 2 is characterized in that,
Said CPU; Receive the data that said wireless device unit is sent; Resolve this data, confirm that these data are the data that are used for configuration management, each configuration parameter and the low-power consumption sleep control information of this parking stall detection node device then are set according to received data if resolve; And carry out work according to said configuration parameter, carry out low-power consumption sleep control according to the low-power consumption sleep control information of being disposed;
Wherein, configuration parameter comprises that at least data transmitting period, data sendaisle and data transmission power and RSSI have car minimum change parameter;
Low-power consumption sleep control information comprises dormancy period at least.
4. like claim 1,2 or 3 said systems, it is characterized in that said parking stall detection node device also comprises:
Geomagnetic sensor is measured the magnetic field parameter of parking stall home environment, and the measured field intensity level is sent to said CPU;
Said CPU; Receive the field strength values that said geomagnetic sensor sends, judge whether the field strength values of current reception belongs to no car magnetic field average threshold scope, when belonging to no car magnetic field average threshold scope as if the field strength values of current reception; Confirm that the parking stall do not have car; If the field strength values of current reception exceeds no car magnetic field average threshold scope, confirm that there is car on the parking stall, and judged result is uploaded to said control data corporation; And definite parking stall is not when having car; Upgrade no car magnetic field average threshold scope according to the field strength values of current reception and the no car magnetic field value of historical record; When confirming that there is car on the parking stall; Deduct no car magnetic field mean value with the absolute value of the field strength values of current reception and obtained car magnetic field hop value; Calculate the mean value that car magnetic field hop value is arranged that car magnetic field hop value and historical record are arranged that is calculated, this mean value multiply by the value that there is car minimum change parameter in magnetic field as after upgrading saltus step threshold value in car magnetic field being arranged.
5. system as claimed in claim 4 is characterized in that,
Said CPU is received the data that are used to detect the parking stall that control data corporation issues at the same time, and geomagnetic sensor send field strength values the time; Judge according to the data that are used to detect the parking stall whether the parking stall has car respectively; Judge according to field strength values whether the parking stall has car, when two judged results are consistent, upload judged result to said control data corporation; When two judged results were repelled each other, the judged result that weighted value is big was uploaded to said control data corporation.
6. a parking space detection method is characterized in that, this method comprises:
Control data corporation sends data to parking stall detection node device;
Detection node device in parking stall receives the data that control data corporation sends in the detection system of parking stall; Confirm signal intensity indication (RSSI) value according to the spectrum information that receives data; Upgrade the RSSI threshold value in conjunction with current definite signal strength indication value and historical record data; Current definite signal strength indication value and the RSSI threshold value after the renewal are compared, judge whether the parking stall has car, and judged result is uploaded to said control data corporation;
Whether the parking stall that said control data corporation reception parking stall detection node device is uploaded stops to have the judged result of vehicle, according to the judged result that receives the parking stall is managed.
7. method as claimed in claim 6; It is characterized in that; Spectrum information according to receiving data is confirmed signal strength indication value, and combines current definite signal strength indication value and historical record data to upgrade the RSSI threshold value, and current definite signal strength indication value and the RSSI threshold value after the renewal are compared; Judge whether the parking stall has car, and judged result is uploaded to said control data corporation refers to:
Said parking stall detection node device carries out signal strength analysis to the spectrum information that receives data and obtains signal strength indication value; Resolve the data of being received; If resolve confirming these data is the data that are used to detect the parking stall, then whether the signal strength indication value that obtains of discriminatory analysis belongs to no car RSSI average threshold scope, when the signal strength indication value that obtains when analysis belongs to no car RSSI average threshold scope; Confirm that the parking stall do not have car; Judged result is uploaded to said control data corporation, and the mean value of the no car RSSI value of signal strength indication value that computational analysis obtains and historical record is updated to no car RSSI average threshold with this mean value;
The signal strength indication value that obtains when analysis exceeds no car RSSI average threshold scope; Confirm that there is car on the parking stall; Judged result is uploaded to said control data corporation; Deduct no car RSSI mean value with the absolute value of analyzing the signal strength indication value that obtains and obtained car RSSI hop value; Calculate the mean value that car RSSI hop value is arranged that car RSSI hop value and historical record are arranged calculated, this mean value multiply by value that RSSI has a car minimum change parameter has a car RSSI saltus step threshold value after as renewal.
8. method as claimed in claim 7 is characterized in that,
Said parking stall detection node device is resolved and is confirmed that these data are the data that are used for configuration management; Each configuration parameter and the low-power consumption sleep control information of this parking stall detection node device then are set according to received data; Carry out work according to set configuration parameter, carry out low-power consumption sleep control according to the low-power consumption sleep control information of being disposed;
Wherein, configuration parameter comprises that at least data transmitting period, data sendaisle and data transmission power and RSSI have car minimum change parameter;
Low-power consumption sleep control information comprises dormancy period at least.
9. like claim 6,7 or 8 said methods, it is characterized in that,
Said parking stall detection node device is also measured the magnetic field parameter of parking stall home environment; Judge whether current measured field intensity level belongs to no car magnetic field average threshold scope; When if current measured field intensity level belongs to no car magnetic field average threshold scope; Confirm that the parking stall do not have car, judged result is uploaded to said control data corporation, upgrade no car magnetic field average threshold scope according to the no car magnetic field value of current measured field intensity level and historical record;
If current measured field intensity level exceeds no car magnetic field average threshold scope; Confirm that there is car on the parking stall; Judged result is uploaded to said control data corporation; Deduct no car magnetic field mean value with the absolute value of current measured field intensity level and obtained car magnetic field hop value, calculate the mean value that car magnetic field hop value is arranged that car magnetic field hop value and historical record are arranged that is calculated, this mean value multiply by the value that there is car minimum change parameter in magnetic field as after upgrading saltus step threshold value in car magnetic field being arranged.
10. method as claimed in claim 9 is characterized in that,
Said parking stall detection node device; Receive that control data corporation issues be used to detect the data on parking stall the time; When measuring the field strength values of parking stall home environment, judge according to the data that are used to detect the parking stall whether the parking stall has car respectively, judge according to field strength values whether the parking stall has car; When two judged results are consistent; Upload judged result to said control data corporation, when two judged results were repelled each other, the judged result that weighted value is big was uploaded to said control data corporation.
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