CN103439929A - City waterlogging prevention system - Google Patents
City waterlogging prevention system Download PDFInfo
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- CN103439929A CN103439929A CN201310338536XA CN201310338536A CN103439929A CN 103439929 A CN103439929 A CN 103439929A CN 201310338536X A CN201310338536X A CN 201310338536XA CN 201310338536 A CN201310338536 A CN 201310338536A CN 103439929 A CN103439929 A CN 103439929A
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Abstract
The invention provides a city waterlogging prevention system which comprises a detection device and an Internet of Things control center. The detection device comprises sensors, a signal processing unit and a signal transmission unit, wherein the sensors are arranged on a drain port, comprise a water depth sensor and a water flow speed sensor and are used for collecting water depth data and water flow speed data, the signal processing unit is used for obtaining the collected data of the sensors, and the signal transmission unit transmits the data which present the blocking situation to the Internet of Things control center. The Internet of Things control center is used for responding to the data which present the blocking situation, and the responses comprise the steps of giving an alarm and conducting control strategy adjustment on a drainage system or informing relative staff. The city waterlogging prevention system can detect the blocking situation automatically and respond to the blocking situation in time, greatly reduces labor cost, and can obtain waterlogging information timely and accurately.
Description
[technical field]
The present invention relates to the test technique automatic field, particularly a kind of city prevention waterlogging system.
[background technology]
Unwatering system is the important infrastructure of modern city; it is also the major project of Urban Waterlogging; for the living standard that improves constantly people, preserve the ecological environment and realize the strategy of sustainable development; China also will build a large amount of unwatering system; the rationality of unwatering system self design is no doubt important; once yet Water drainage system design build complete; it is transformed to strengthen the water drainage ability is costly, and therefore the matching construction of unwatering system being improved is exactly another vital task that strengthens the Urban Waterlogging ability.
Usually when larger such as quantity of precipitation, impeded drainage easily occurs in unwatering system, and traffic congestion easily occurs, and even can cause great personnel's property loss when serious, while particularly descending water to occur to stop up, need to manually judge that pedestrian's work phone of going forward side by side reports the zone that could find impeded drainage for repairment.When this mode occurs in the waterlogging disaster, be all to seem unable to do what one wishes on reaction velocity or treatment effeciency, if adopt personnel on duty fully, cost and workload are excessive, also can't comprehensively carry out.
[summary of the invention]
In view of this, the invention provides a kind of city prevention waterlogging system, so that obtain in time, exactly waterlogging information, reduce cost of labor.
Concrete technical scheme is as follows:
A kind of city prevention waterlogging system, this system comprises: sniffer and Internet of Things control center; Wherein said sniffer comprises: sensor, signal processing unit and signal transmission unit, and described sensor setting, at the lower mouth of a river, comprises water depth sensor and water flow rate sensor;
Described sensor, for gathering bathymetric data and water flow velocity data;
Described signal processing unit, the data that gather for obtaining described sensor, and will reflect that by described signal transmission unit the data of blockage are sent to Internet of Things control center;
Described Internet of Things control center, make response for the data according to described reflection blockage, and described response comprises: send alarm, unwatering system is carried out to the adjustment of control strategy, or notify the relevant staff.
According to one preferred embodiment of the present invention, this system also comprises:
Data base calibration server, send to the data of described Internet of Things control center for obtaining sniffer, inquire about corresponding calibration information from the calibration information database according to the sensor identification in data, after the calibration information that utilization inquires is calibrated data, then the data after calibration are sent to Internet of Things control center;
Described calibration information database, for preserving sensor identification and corresponding calibration information;
Sensor identification in described data is that described sensor is added in data, or described signal processing unit is added in data.
According to one preferred embodiment of the present invention, described Internet of Things control center, also carry out the classification judgement for the data according to receiving to blockage, determines and stop up grade.
According to one preferred embodiment of the present invention, described signal processing unit, also carry out the classification judgement for the data of utilizing described sensor collection to blockage, determines and stop up grade, will stop up the data of class information as described reflection blockage.
According to one preferred embodiment of the present invention, described classification is judged as: according to the corresponding obstruction grade of the threshold value of the depth of water and water flow velocity, the threshold value that the bathymetric data based on described sensor collection and water flow velocity data reach judges the obstruction grade.
According to one preferred embodiment of the present invention, described Internet of Things control center, also arrange message for to described sniffer, sending parameter;
Described signal transmission unit will receive described parameter and message is set offers described signal processing unit;
Described signal processing unit, also resolved for described parameter is arranged to message, according to resolving the content obtained, carries out the setting of described threshold value.
According to one preferred embodiment of the present invention, described Internet of Things control center is when making response, and corresponding different obstruction grade adopts different response policies, specifically comprises at least one in following response policy:
While reaching not smooth grade, send alarm;
While reaching ordinary grade, enable standby drainage equipment;
While reaching menace level, notify the relevant staff to be reconnoitred and process to scene.
According to one preferred embodiment of the present invention, described signal transmission unit adopts a kind of in following wireless transmission method: wifi, GPRS or 3G.
According to one preferred embodiment of the present invention, described signal processing unit adopts microprocessor, and described signal transmission unit adopts radio frequency chip;
Described sensor is connected to the general purpose I of described signal processing unit/O interface, and described signal processing unit is connected by the SPI interface with signal transmission unit.
According to one preferred embodiment of the present invention, authentication protocol is registered and arranged to the sensor number in legal sniffer in Internet of Things control center in advance;
When the sniffer of new installation accesses Internet of Things control center, the sensor number of self is adopted the algorithm in the authentication protocol of arranging generate digital certificates, these digital certificates are included in authentication request and send to Internet of Things control center;
After Internet of Things control center receives described authentication request, search the sensor number of the sniffer registration that sends this authentication request in this locality, adopt the algorithm in the authentication protocol of arranging to generate digital certificates the sensor number found, the digital certificates that comprise in the digital certificates of generation and described authentication request are compared, if consistent, authentication is passed through, and receives and process the follow-up data that report of sniffer of this new installation; If inconsistent, authentification failure, refuse the follow-up data that report of sniffer of this new installation.
As can be seen from the above technical solutions, the present invention can detect blockage and respond in time automatically according to the depth of water and the water flow velocity data at the lower mouth of a river, can be to city waterlogging situation everywhere carry out unified monitoring, manually on duty without relying on fully, greatly reduce cost of labor, and can obtain in time, exactly waterlogging information, effectively improve response speed and the treatment effeciency of time water slug.
[accompanying drawing explanation]
The schematic diagram of the city prevention waterlogging system that Fig. 1 provides for the embodiment of the present invention;
A kind of structural drawing of the sniffer that Fig. 2 provides for the embodiment of the present invention;
The schematic diagram of the preferred city prevention waterlogging of the another kind that Fig. 3 provides for embodiment of the present invention system;
A kind of prevention waterlogging detection method process flow diagram that Fig. 4 provides for the embodiment of the present invention;
The another kind prevention waterlogging detection method process flow diagram that Fig. 5 provides for the embodiment of the present invention.
[embodiment]
In order to make the purpose, technical solutions and advantages of the present invention clearer, below in conjunction with the drawings and specific embodiments, describe the present invention.
When the city waterlogging being on the defensive and controlling, that at first will do is surveyed the blockage of unwatering system exactly, can dispose sniffer at the lower mouth of a river in embodiments of the present invention, for surveying the blockage of unwatering system and reporting, sniffer can be deployed in the emphasis position of one or more key areas in city.Then sniffer reports Internet of Things control center by the data of the reflection blockage that detects, immediately make response by Internet of Things control center according to blockage, comprise: send alarm, perhaps, immediately unwatering system is carried out to the adjustment of control strategy, for example enable standby drainage equipment, or, immediately notify the relevant staff to go to scene to be reconnoitred and process, for example to the relevant staff, send note or Advise By Wire.Internet of Things control center can also be arranged the parameter in sniffer.This city prevention waterlogging system can be as shown in fig. 1.
Above-mentioned sniffer can comprise particularly: sensor, signal processing unit and signal transmission unit, as shown in Figure 2.
Wherein sensor mainly comprises water depth sensor and water flow rate sensor, and water depth sensor is for gathering near the depth of accumulated water data lower mouth of a river, and water depth sensor is based on that water pressure is poor to be measured usually, and what therefore adopt is the water depth pressure sensor mostly.Water flow rate sensor is for gathering near the water flow velocity data in the lower mouth of a river, and water flow rate sensor can adopt rotating element current meter, time difference method ultrasonic current metre, Doppler's flow velocity section plotter, electric flow meter etc.
Signal processing unit obtains the data of above-mentioned water depth sensor and water flow sensing unit collection, at this signal processing unit, can directly the data in a period of time collected be sent to Internet of Things control center by signal transmission unit.That is to say, signal processing unit can only be responsible for collection and the buffer memory of data, then the data in a period of time is reported by signal transmission unit, and whether the judgement of stopping up is occurred by Internet of Things control center.
For this situation, in fact what sniffer reported is exactly the physical data of sensor, and sensor inevitably can be because there be deviation in various factors, it is very important that the data of sensor collection are calibrated, yet, if calibration function is placed in detection system and realizes mean needing larger space and the processing power of Geng Gao on sniffer, because the quantity of sniffer may be very huge, this can bring rolling up of cost undoubtedly.Therefore, provide a kind of preferred calibration program in the embodiment of the present invention, adopted unified data base calibration server to receive the data that each sniffer sends to Internet of Things control center.
As shown in Figure 3, in the data that now sniffer sends, can comprise sensor identification, this sensor identification can be that sensor is added in data, can be also that signal processing unit is added in data.Data base calibration server is obtained the data that sniffer sends to Internet of Things control center, inquire about corresponding calibration information according to the sensor identification in data in the calibration information database, after utilizing this calibration information to be calibrated data, then the data after calibration are sent to Internet of Things control center.
Preserved sensor identification and corresponding calibration information in the calibration information database, the capacity of database can be very huge, and the calibration information of therefore preserving can be very accurate, and this calibration information can comprise static characteristics and the dynamic perfromance of sensor.
The calibration calculations that data base calibration server is carried out data on the basis that obtains sensor calibration information can adopt existing calibration algorithm, at this, is not specifically limited.This mode is calibrated the sniffer unification that is distributed in various places by unified data base calibration server, can take full advantage of cloud computing resources and reach high-performance and large buffer memory.
Then Internet of Things control center carries out the classification judgement according to the data after proofreading and correct to blockage, determines and stops up grade.When carrying out the classification judgement, in advance the different threshold values of each depth of water and water flow velocity are corresponded to different obstruction grades, the threshold value that then data based on the sensor collection reach judges the obstruction grade.Give one example, as shown in table 1.
| Stop up grade | The depth of water | Lower water flow velocity |
| Not smooth | 0.1m below | 0.05m/s below |
| Common | 0.1m-0.5m | 0.05m/s below |
| Seriously | 0.5m more than | 0.05m/s below |
Then whether Internet of Things control center needs to be responded according to the obstruction classification of judging.Corresponding different obstruction grade can adopt different response policies.For example, while reaching not smooth grade, can send alarm; While reaching ordinary grade, can enable standby drainage equipment; While reaching menace level, notify the relevant staff to be reconnoitred and process to scene.Wherein notify relevant staff's mode to include but not limited to: note, phone etc.
The flow process of above-mentioned situation as shown in Figure 4.
Also have another situation: signal processing unit not only is responsible for collection, the buffer memory of data and is reported, also can carry out the classification judgement to blockage, determine and stop up grade, using stopping up the data of class information as the reflection blockage, report Internet of Things control center.The mode of classification judgement is identical with the judgment mode of Internet of Things recited above control center, in advance the different threshold values of each depth of water and water flow velocity are corresponded to different obstruction grades, the threshold value that then data based on the sensor collection reach judges the obstruction grade.
The obstruction class information that signal processing unit can obtain judgement sends to Internet of Things control center, and then Internet of Things control center determines whether to be responded according to the obstruction class information received.Corresponding different obstruction grade can adopt different response policies.For example, while reaching not smooth grade, can send alarm; While reaching ordinary grade, can enable standby drainage equipment; While reaching menace level, notify the relevant staff to be reconnoitred and process to scene.Wherein notify relevant staff's mode to include but not limited to: note, phone etc.
The flow process of above-mentioned situation as shown in Figure 5.
If what sensor collected is simulating signal, above-mentioned signal processing unit is also for realizing the conversion of simulating signal to digital signal.
In addition, if the classification judgement is carried out in signal processing unit, the parameter that Internet of Things control center can also adopt signal processing unit in sniffer is arranged, and for example the classification of blockage is judged to the threshold value adopted is arranged.Particularly, Internet of Things control center can send parameter to sniffer message is set, and it can be the arrange transmission of Internet of Things control center according to the staff that this parameter arranges message; After signal transmission unit in sniffer receives parameter message is set, this parameter is arranged to message and offer signal processing unit.After signal processing unit arranges message and resolved parameter, according to resolving the content obtained, carry out the setting of self parameter, the threshold value that the classification judgement of blockage adopts for example is set.At this, the parameter that Internet of Things control center sends arranges message and can adopt the form of making an appointment, and for example can adopt the XML form of special beginning.
In addition, the staff also can directly send parameter by the mode such as note to certain sniffer message is set.
Signal processing unit can be by selecting suitable microprocessor realization, and signal transmission unit can select radio frequency chip to realize, signal transmission unit can adopt multiple wireless transmission methods such as wifi, GPRS, 3G.Sensor is connected to the general purpose I of signal processing unit/O interface, carry out reading and changing of sensing data, can pass through Serial Peripheral Interface (SPI) (SPI) between signal processing unit and signal transmission unit and be connected, between sensor and signal processing unit, can realize plug and play.
In addition, security consideration for said system, prevent that illegal sniffer from frequently reporting the data of camouflage to Internet of Things control center, thereby cause Internet of Things control center mistake to be responded, perhaps frequently responded and caused paralysis, at this, can also be provided a kind of method of sniffer being carried out to access authentication:
For legal sniffer, in Internet of Things control center, registered in advance, the sensor number be about in sniffer is registered in Internet of Things control center, the authentication protocol of making an appointment between all sniffers and Internet of Things control center.
When the sniffer of new installation accesses Internet of Things control center, at first authenticated, be that sniffer adopts the sensor number of self algorithm in the authentication protocol of arranging to generate digital certificates, the algorithm here can be set by rule in advance, for example the position according to sensor is numbered combination, also can adopt existing function, such as Fourier's function, ask cryptographic hash, the scheduling algorithm such as be averaging; Then digital certificates are included in authentication request and send to Internet of Things control center.
After Internet of Things control center receives this authentication request, search the log-on message of this sniffer in this locality, determine the sensor number in this sniffer, utilize the algorithm in the authentication protocol of this sensor number and agreement to generate digital certificates, the digital certificates that these digital certificates of generating and authentication request are comprised are compared, if consistent, authentication is passed through, and receives and process the follow-up data that report of this sniffer; If inconsistent, authentification failure, refuse the follow-up data that report of this sniffer.
In several embodiment provided by the present invention, should be understood that, disclosed system can realize by another way.For example, system embodiment described above is only schematically, and for example, the division of described unit, be only that a kind of logic function is divided, and during actual the realization, other dividing mode can be arranged.
The described unit as the separating component explanation can or can not be also physically to separate, and the parts that show as unit can be or can not be also physical locations, can be positioned at a place, or also can be distributed on a plurality of network element.Can select according to the actual needs some or all of unit wherein to realize the purpose of the present embodiment scheme.
The integrated unit that the above-mentioned form with SFU software functional unit realizes, can be stored in a computer read/write memory medium.Above-mentioned SFU software functional unit is stored in a storage medium, comprise that some instructions are with so that a computer equipment (can be personal computer, server, or the network equipment etc.) or processor (processor) carry out the part steps of the described method of each embodiment of the present invention.And aforesaid storage medium comprises: various media that can be program code stored such as USB flash disk, portable hard drive, ROM (read-only memory) (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CDs.
The foregoing is only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of making, be equal to replacement, improvement etc., within all should being included in the scope of protection of the invention.
Claims (10)
1. a city prevention waterlogging system, is characterized in that, this system comprises: sniffer and Internet of Things control center; Wherein said sniffer comprises: sensor, signal processing unit and signal transmission unit, and described sensor setting, at the lower mouth of a river, comprises water depth sensor and water flow rate sensor;
Described sensor, for gathering bathymetric data and water flow velocity data;
Described signal processing unit, the data that gather for obtaining described sensor, and will reflect that by described signal transmission unit the data of blockage are sent to Internet of Things control center;
Described Internet of Things control center, make response for the data according to described reflection blockage, and described response comprises: send alarm, unwatering system is carried out to the adjustment of control strategy, or notify the relevant staff.
2. system according to claim 1, is characterized in that, this system also comprises:
Data base calibration server, send to the data of described Internet of Things control center for obtaining sniffer, inquire about corresponding calibration information from the calibration information database according to the sensor identification in data, after the calibration information that utilization inquires is calibrated data, then the data after calibration are sent to Internet of Things control center;
Described calibration information database, for preserving sensor identification and corresponding calibration information;
Sensor identification in described data is that described sensor is added in data, or described signal processing unit is added in data.
3. system according to claim 2, is characterized in that, described Internet of Things control center also carries out the classification judgement for the data according to receiving to blockage, determines and stop up grade.
4. system according to claim 1, it is characterized in that described signal processing unit also carries out the classification judgement for the data of utilizing described sensor collection to blockage, determine and stop up grade, will stop up the data of class information as described reflection blockage.
5. according to the described system of claim 3 or 4, it is characterized in that, described classification is judged as: according to the corresponding obstruction grade of the threshold value of the depth of water and water flow velocity, the threshold value that the bathymetric data based on described sensor collection and water flow velocity data reach judges the obstruction grade.
6. system according to claim 5, is characterized in that, described Internet of Things control center also arranges message for to described sniffer, sending parameter;
Described signal transmission unit will receive described parameter and message is set offers described signal processing unit;
Described signal processing unit, also resolved for described parameter is arranged to message, according to resolving the content obtained, carries out the setting of described threshold value.
7. system according to claim 1, is characterized in that, described Internet of Things control center is when making response, and corresponding different obstruction grade adopts different response policies, specifically comprises at least one in following response policy:
While reaching not smooth grade, send alarm;
While reaching ordinary grade, enable standby drainage equipment;
While reaching menace level, notify the relevant staff to be reconnoitred and process to scene.
8. system according to claim 1, is characterized in that, described signal transmission unit adopts a kind of in following wireless transmission method: wifi, GPRS or 3G.
9. system according to claim 1, is characterized in that, described signal processing unit adopts microprocessor, and described signal transmission unit adopts radio frequency chip;
Described sensor is connected to the general purpose I of described signal processing unit/O interface, and described signal processing unit is connected by the SPI interface with signal transmission unit.
10. system according to claim 1, is characterized in that, authentication protocol is registered and arranged to the sensor number in legal sniffer in Internet of Things control center in advance;
When the sniffer of new installation accesses Internet of Things control center, the sensor number of self is adopted the algorithm in the authentication protocol of arranging generate digital certificates, these digital certificates are included in authentication request and send to Internet of Things control center;
After Internet of Things control center receives described authentication request, search the sensor number of the sniffer registration that sends this authentication request in this locality, adopt the algorithm in the authentication protocol of arranging to generate digital certificates the sensor number found, the digital certificates that comprise in the digital certificates of generation and described authentication request are compared, if consistent, authentication is passed through, and receives and process the follow-up data that report of sniffer of this new installation; If inconsistent, authentification failure, refuse the follow-up data that report of sniffer of this new installation.
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| CN105511395A (en) * | 2016-02-26 | 2016-04-20 | 杭州九问数字科技有限公司 | Intelligent city waterlogging draining command and control system |
| CN113155102A (en) * | 2021-02-24 | 2021-07-23 | 时代云英(深圳)科技有限公司 | River comprehensive treatment system |
| CN115273406A (en) * | 2022-07-04 | 2022-11-01 | 山东浪潮新基建科技有限公司 | Inland inundation prediction method and system for urban road waterlogging-prone point |
| CN117437759A (en) * | 2023-11-07 | 2024-01-23 | 北京建筑大学 | Rain and flood drainage road risk early warning method and device |
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Application publication date: 20131211 |