CN105222879A - The long-range self-diagnosable system of complicated dynamic weighing sensing network and self-diagnosing method thereof - Google Patents
The long-range self-diagnosable system of complicated dynamic weighing sensing network and self-diagnosing method thereof Download PDFInfo
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Abstract
The invention discloses a kind of long-range self-diagnosable system of complicated dynamic weighing sensing network, relate to Vehicle weigh-in-motion technology field, comprise and lay respectively at the dynamic weighing equipment of multiple weighing area and the server of far-end, dynamic weighing equipment is used for the work state information of dynamic weighing and record dynamic weighing equipment, and the work state information of equipment is uploaded onto the server, server, for receiving and the work state information for the treatment of facility, judges dynamic weighing equipment whether fault.Beneficial effect of the present invention: make full use of existing weighing area, effectively save Resources for construction.The work state information of each dynamic weighing equipment of collects, its work state information is analyzed, find out abnormal data, according to weighing area and the faulty equipment source at abnormal data accurate failure judgement equipment place, effectively save time cost and fund cost.
Description
Technical field
The present invention relates to Vehicle weigh-in-motion technology field, particularly a kind of long-range self-diagnosable system of complicated dynamic weighing sensing network and method.
Background technology
The development of transportation serves positive impetus to the development of the national economy, and go into overdrive to rectify highway transport vehicle overrun and overload phenomenon also becomes inevitable requirement simultaneously.At present, dynamic weighing system (the WeighinMotion of widespread use on a highway, be called for short WIM) can effectively administer vehicle overload overloading, simultaneously also for fee collection brings reliable Data support, but dynamic weighing system operationally has certain defect, wherein comparatively typical case: in all dynamic weighing districts that vehicle passes through, once have certain or multiple device fails in certain or multiple dynamic weighing district, final weighing data then can be caused to occur gross error, directly affect overload remediation effect and charge result, even cause major traffic accidents, reduce current rate.Develop the self-checking system of dynamic weighing system thus, whole piece section can be provided with multiple weighing area, and arrange trading post in this section end point, existing self-checking system arranges server in each weighing area and detects pick-up unit, need like this to configure multiple servers, cause the wasting of resources.Meanwhile, existing self-checking system, when pick-up unit, needs a pair each device to check, needs the plenty of time.
In sum, be necessary to design the long-range self-diagnosable system under a kind of complicated dynamic weighing sensing network, effectively reduce Resources for construction, can effectively accurate checkout equipment whether fault, realize system autodiagnosis, to solve the problem.
Summary of the invention
In view of this, the technical problem to be solved in the present invention is to provide the long-range self-diagnosable system under a kind of complicated dynamic weighing sensing network, effectively reduces Resources for construction, can accurate checkout equipment whether fault effectively, realize system autodiagnosis, effectively save time cost and fund cost.
The present invention is solved the problems of the technologies described above by following technological means:
The invention provides the long-range self-diagnosable system under a kind of complicated dynamic weighing sensing network, server after comprising the dynamic weighing equipment that lays respectively at multiple weighing area and being positioned at all weighing areas before trading post, described dynamic weighing equipment is used for the work state information of dynamic weighing and recording unit, and the work state information of equipment is uploaded onto the server, described server, for receiving and the work state information for the treatment of facility, judges described dynamic weighing equipment whether fault.After all weighing areas, before trading post, server is set, makes full use of existing dynamic weighing region, after vehicle completes all dynamic weighings, server is set again, effectively saves Resources for construction.The work state information of each equipment of dynamic weighing equipment record, and being uploaded onto the server by the work state information of each equipment, server, according to the work state information judgment device of equipment whether fault, realizes self-diagnostic function.
Further, dynamic weighing equipment comprises multiple vehicle equipment, whether enters weighing area for detecting vehicle; Multiple weighting platform, for supporting the vehicle entering weighing area, multiple LOAD CELLS, for gathering the vehicle weight data entering weighing area; Multiple Vehicles separation equipment, for judging whether vehicle passes through weighting platform completely; Multiple axle identification equipment, for identifying the spindle-type of described vehicle and total number of axle; Multiple weighing instrument, for work state information and the process weighing data of Real-Time Monitoring dynamic weighing equipment, described vehicle equipment, weighting platform, LOAD CELLS, axle identification equipment, Vehicles separation equipment are connected with weighing instrument respectively, described weighing instrument is connected with server, is uploaded onto the server by the work state information of described dynamic weighing equipment.
Dynamic weighing equipment is arranged on each weighing area, the vehicle of process is weighed, weighing instrument carries out weighing data process and detects the work state information of each equipment in real time, the work state information of each equipment is sent to server, for server provides data analysis to originate.
Further, server comprises data reception module, for receiving the work state information of the dynamic weighing equipment in each dynamic weighing region; Data analysis module, the work state information for the corresponding dynamic weighing equipment by different weighing area carries out analysis contrast, finds out abnormal data; Fault verification module, for the equipment corresponding to abnormal data is judged to be faulty equipment, described data reception module, data analysis module are connected in turn with fault verification module.
Server is the data processing centre (DPC) of whole system, receive the equipment working state information of each weighing area, and by the work state information comparative analysis of the corresponding dynamic weighing equipment of different weighing area, find out abnormal data, judge that equipment corresponding to abnormal data is as faulty equipment, effectively diagnose and determine equipment failure generation area and accurately location be that certain equipment there occurs fault.
Further, server also comprises failure notification module, described failure notification module and fault verification model calling.
Further, dynamic weighing equipment is axle heavy formula, axle group formula, portable or complete-vehicle-type.
The present invention also comprises the long-range self-diagnosing method under complicated dynamic weighing sensing network, specifically comprises the following steps:
S1: the work state information that dynamic weighing equipment and the equipment of weighing area, weighing area present is carried out differentiated process;
S2: described equipment working state information is uploaded onto the server by the dynamic weighing equipment of each weighing area;
S3: server receiving equipment work state information, contrasts equipment working state information corresponding for each weighing area, finds out the abnormal data in work state information, equipment corresponding for abnormal data is judged to be faulty equipment, then performs S4; If do not note abnormalities data after contrast, non-fault equipment is described, then performs S5;
S4: by weighing area and the equipment failure source at the differentiation information failure judgement equipment place of faulty equipment;
S5: server continues collecting device work state information.
Further, in S1, described dynamic weighing equipment comprises multiple vehicle equipment, multiple weighting platform, multiple LOAD CELLS, multiple axle identification equipment, multiple Vehicles separation equipment and multiple weighing instrument.
Further, in S1, described differentiated is treated to node serial number mode, and concrete grammar is: the work state information that weighing area, each vehicle equipment, weighting platform, LOAD CELLS, axle identification equipment, Vehicles separation equipment and weighing instrument and each equipment present is numbered differentiation.
Beneficial effect of the present invention:
Long-range self-diagnosable system under complicated dynamic weighing sensing network of the present invention, make full use of existing weighing area, effective saving Resources for construction, reduce construction cost, the work state information of each dynamic weighing equipment of collects, is analyzed its work state information, finds out abnormal data, according to weighing area and the faulty equipment source at abnormal data accurate failure judgement equipment place, effectively save time cost and fund cost.
Long-range self-diagnosing method under complicated dynamic weighing sensing network of the present invention, differentiating and processing is carried out in dynamic weighing region and equipment, the later stage is facilitated accurately to review the position of faulty equipment, server is by the work state information collected and each equipment of comparative analysis presents, find out the abnormal data in work state information, equipment corresponding to abnormal data is judged to be faulty equipment by system, and by the weighing area residing for faulty equipment and specifically certain equipment failure feed back to staff in time, staff can overhaul equipment in time.The self-diagnosing method of system can quick and precisely judge weighing-appliance fault, and the position of energy localizing faults equipment, avoid staff's checkout facility one by one, save time cost and fund cost, increases work efficiency.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described.
Fig. 1 is the theory diagram of embodiments of the invention 1.
Fig. 2 is the theory diagram of the server of embodiments of the invention 1.
Fig. 3 is the workflow diagram of embodiments of the invention 2.
Embodiment
Below with reference to accompanying drawing, the present invention is described in detail,
Embodiment 1
As Fig. 1, shown in 2, long-range self-diagnosable system under complicated dynamic weighing sensing network of the present invention, comprise and lay respectively at the dynamic weighing equipment of multiple weighing area and the server of far-end, described dynamic weighing equipment is used for the work state information of dynamic weighing and recording unit, and the work state information of equipment is uploaded onto the server, described server, for receiving and the work state information for the treatment of facility, judges described dynamic weighing equipment whether fault.Long-range self-diagnosable system makes full use of existing dynamic weighing region, sending data, without the need to arranging server in each dynamic weighing region, effectively saving Resources for construction after vehicle completes all dynamic weighings to server, reduces construction cost.The work state information of each equipment of dynamic weighing equipment record, and being uploaded onto the server by the work state information of each equipment, server, according to the work state information judgment device of equipment whether fault, realizes system autodiagnosis, without the need to hand inspection.
Dynamic weighing equipment comprises multiple vehicle equipment, whether enters weighing area for detecting vehicle; Multiple weighting platform, for supporting the vehicle entering weighing area; Multiple LOAD CELLS, for gathering the vehicle weight data entering weighing area; Multiple axle identification equipment, for identifying the spindle-type of described vehicle and total number of axle; Multiple Vehicles separation equipment, for judging whether vehicle passes through weighting platform completely; Multiple weighing instrument, for work state information and the process weighing data of Real-Time Monitoring dynamic weighing equipment, described vehicle equipment, weighting platform, LOAD CELLS, axle identification equipment, Vehicles separation equipment are connected with weighing instrument respectively, described weighing instrument is connected with server, is uploaded onto the server by the work state information of described dynamic weighing equipment.Weighing instrument is connected by network with server.Dynamic weighing equipment is arranged on each weighing area, the vehicle of process is weighed, weighing instrument process weighing data also detects the work state information of each equipment in real time, the work state information of each equipment is sent to server, for server provides data analysis to originate.
As the further improvement of technique scheme, server comprises data reception module, for receiving the work state information of the dynamic weighing equipment in each dynamic weighing region; Data analysis module, for the work state information of dynamic weighing equipment corresponding for different weighing area being carried out analysis contrast, finds out abnormal data; Fault verification module, for the equipment corresponding to abnormal data is judged to be faulty equipment, described data reception module, data analysis module are connected in turn with fault verification module.Server first receives the equipment working state information in each dynamic weighing region, the work state information of dynamic weighing equipment corresponding for different weighing area is carried out analysis contrast, find out abnormal data, abnormal data is judged to be faulty equipment, effectively judges certain equipment failure of certain weighing area.
As the further improvement of technique scheme, server also comprises failure notification module, described failure notification module and fault verification model calling.Failure notification module is when finding certain equipment failure, and notify that staff keeps in repair in time, staff directly finds this faulty equipment to the weighing area of breaking down, and without the need to checking each equipment, saving servicing time, increasing work efficiency.
As the further improvement of technique scheme, dynamic weighing equipment is axle heavy formula, axle group formula, portable or complete-vehicle-type.Dynamic weighing equipment is not limited to the heavy formula (as quartz, narrow bent plate, wide bent plate, single weighing platform, two weighing platform) of axle, axle group formula, portable or complete-vehicle-type (as complete-vehicle-type dynamic balance), in addition, because complete-vehicle-type scale requires that vehicle Negotiation speed can not be too high, therefore, if car load scale is installed in track, in advance vehicle maximum speed limit mark should be set in respective stretch.
Long-range self-diagnosable system under complicated dynamic weighing sensing network, make full use of existing weighing area, effective saving Resources for construction, reduce construction cost, the work state information of each dynamic weighing equipment of collects, is analyzed its work state information, finds out abnormal data, according to weighing area and the faulty equipment source at abnormal data accurate failure judgement equipment place, effectively save time cost and fund cost.
Embodiment 2
As shown in Figure 3, the present invention also comprises the long-range self-diagnosing method under a kind of complicated dynamic weighing sensing network, specifically comprises the following steps:
S1: the work state information that each vehicle equipment in the dynamic weighing equipment of each weighing area, weighting platform, Vehicles separation equipment and weighing instrument and each equipment present is carried out differentiated process.Each equipment of weighing area and dynamic weighing equipment is distinguished, is convenient to can review the position of faulty equipment in the later stage.Differentiated process adopts the mode process of node serial number, has corresponding numbering to distinguish to each weighing area, each equipment, and can corresponding be found by numbering is certain equipment of certain weighing area.Certainly, other methods distinguishing weighing area and equipment also can be adopted in the specific implementation to implement.
The operation that the node numbering method of the present embodiment employing is concrete is: dynamic weighing region is defined as X1, X2 ... Xn, each dynamic weighing region comprises multiple vehicle equipment, multiple weighting platform, multiple LOAD CELLS, multiple axle identification equipment, multiple Vehicles separation equipment and multiple weighing instrument, the vehicle equipment of dynamic weighing region X1, weighting platform, LOAD CELLS, axle identification equipment, Vehicles separation equipment and weighing instrument are defined as A1 respectively, B1, C1, D1, E1, F1, the work state information that in the X1 of dynamic weighing region, all vehicle equipment A1 present is defined as A1.1 respectively, A1.2 ... A1.m, the work state information that in the X1 of dynamic weighing region, all weighting platform B1 present is defined as B1.1, B1.2 respectively ... B1.m, the work state information that in the X1 of dynamic weighing region, all LOAD CELLS C1 present is defined as C1.1, C1.2 respectively ... C1.m, the work state information that in the X1 of dynamic weighing region, all axle identification equipment D1 present is defined as D1.1 respectively, D1.2 ... D1.m, the work state information that in the X1 of dynamic weighing region, all Vehicles separation equipment E1 present is defined as E1.1 respectively, E1.2 ... E1.m, the work state information that in the X1 of dynamic weighing region, all weighing instruments present is defined as F1.1 respectively, F1.2 ... F1.m, by that analogy, the vehicle equipment of dynamic weighing district Xn, weighting platform, LOAD CELLS, axle identification equipment, Vehicles separation equipment and weighing instrument are defined as An respectively, Bn, Cn, Dn, En, Fn, the work state information that in dynamic weighing district Xn, all vehicle equipment An present is An.1, An.2 ... An.m, the work state information that in dynamic weighing district Xn, all weighting platform Bn present is defined as Bn.1, Bn.2 respectively ... Bn.m, the work state information that in dynamic weighing district Xn, all LOAD CELLS Cn present is defined as Cn.1, Cn.2 respectively ... Cn.m, the work state information that in dynamic weighing district Xn, all axle identification equipment Dn present is defined as Dn.1, Dn.2 respectively ... Dn.m, the work state information that in dynamic weighing district Xn, all Vehicles separation equipment En present is defined as En.1, En.2 respectively ... En.m, the work state information that in dynamic weighing district Xn, all weighing instrument Fn present is defined as Fn.1, Fn.2 respectively ... Fn.m, wherein, n and m is positive integer.
S2: described equipment working state information is uploaded onto the server by the weighing instrument of each weighing area.Weighing instrument is sent to server the work state information that each equipment presents, so that collects process data.
S3: server receiving equipment work state information, contrasts equipment working state information corresponding for each weighing area, finds out abnormal data, equipment corresponding for abnormal data is judged to be faulty equipment, then performs S4; If data without exception, illustrate do not have equipment failure in work state information, then perform S5.
Server receives the work state information of each equipment, equipment working state corresponding for each weighing area is carried out comparative analysis one by one, work state information corresponding for A1.m to An.m numbering is contrasted, such as: A1.1 and A2.1 and A3.1 are until An.1 contrasts; A1.2 and A2.2 and A3.2 are until An.2 contrasts, and by that analogy, A1.m and A2.m and A3.m, until An.m contrasts, will be numbered the whole comparative analysis of equipment working state information of A.In like manner, the equipment working state information contrast being numbered B, C, D, E, F all adopts the method, and find out abnormal data, equipment corresponding for these abnormal datas is judged to be equipment failure by system.If there is not abnormal data in work state information, then devices illustrated all normally works, and does not occur equipment failure, then perform S5.
S4: by weighing area and the equipment failure source at the differentiation information failure judgement equipment place of faulty equipment.Be directly targeted to the faulty equipment in corresponding dynamic weighing district according to abnormal data, and be the source of trouble according to certain component devices that the numbering of abnormal data is directly determined in faulty equipment.
S5: server continues the work state information of collecting device, continues to analyze comparative apparatus work state information.
Long-range self-diagnosing method under complicated dynamic weighing sensing network, differentiating and processing is carried out in dynamic weighing region and equipment, the later stage is facilitated accurately to review the position of faulty equipment, server is by the work state information collected and each equipment of comparative analysis presents, find out the abnormal data in work state information, equipment corresponding to abnormal data is judged to be faulty equipment by system, and by the weighing area residing for faulty equipment and specifically certain equipment failure feed back to staff in time, staff can overhaul equipment in time.The self-diagnosing method of system can quick and precisely judge weighing-appliance fault, and the position of energy localizing faults equipment, avoid staff's checkout facility one by one, save time cost and fund cost, increases work efficiency.
What finally illustrate is, above embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although with reference to preferred embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that, can modify to technical scheme of the present invention or equivalent replacement, and not departing from aim and the scope of technical solution of the present invention, it all should be encompassed in the middle of right of the present invention.
Claims (8)
1. the long-range self-diagnosable system of complicated dynamic weighing sensing network, it is characterized in that: comprise and lay respectively at the dynamic weighing equipment of multiple weighing area and the server of far-end, described dynamic weighing equipment is used for the work state information of dynamic weighing and record dynamic weighing equipment, and the work state information of equipment is uploaded onto the server, described server, for receiving and the work state information for the treatment of facility, judges described dynamic weighing equipment whether fault.
2. the long-range self-diagnosable system of complicated dynamic weighing sensing network as claimed in claim 1, is characterized in that: described dynamic weighing equipment comprises multiple vehicle equipment, whether enters weighing area for detecting vehicle; Multiple weighting platform, for supporting the vehicle entering weighing area, multiple LOAD CELLS, for gathering the vehicle weight data entering weighing area; Multiple axle identification equipment, for identifying the spindle-type of described vehicle and total number of axle; Multiple Vehicles separation equipment, for judging whether vehicle passes through weighting platform completely; Multiple weighing instrument, for work state information and the process weighing data of Real-Time Monitoring dynamic weighing equipment, described vehicle equipment, weighting platform, LOAD CELLS, axle identification equipment, Vehicles separation equipment are connected with weighing instrument respectively, described weighing instrument is connected with server, is uploaded onto the server by the work state information of described dynamic weighing equipment.
3. the long-range self-diagnosable system of complicated dynamic weighing sensing network as claimed in claim 1, is characterized in that: described server comprises data reception module, for receiving the work state information of the dynamic weighing equipment in each dynamic weighing region; Data analysis module, the work state information for the corresponding dynamic weighing equipment by different weighing area carries out analysis contrast, finds out abnormal data; Fault verification module, for the equipment corresponding to abnormal data is judged to be faulty equipment, described data reception module, data analysis module are connected in turn with fault verification module.
4. the long-range self-diagnosable system of complicated dynamic weighing sensing network as claimed in claim 3, is characterized in that: described server also comprises failure notification module, described failure notification module and fault verification model calling.
5. the long-range self-diagnosable system of complicated dynamic weighing sensing network as claimed in claim 1, is characterized in that: described dynamic weighing equipment is axle heavy formula, axle group formula, portable or complete-vehicle-type.
6. the long-range self-diagnosing method of complicated dynamic weighing sensing network, is characterized in that: specifically comprise the following steps:
S1: the work state information that dynamic weighing equipment and the equipment of weighing area, weighing area present is carried out differentiated process;
S2: described equipment working state information is uploaded onto the server by the dynamic weighing equipment of each weighing area;
S3: server receiving equipment work state information, contrasts equipment working state information corresponding for each weighing area, finds out the abnormal data in work state information, equipment corresponding for abnormal data is judged to be faulty equipment, then performs S4; If do not note abnormalities data after contrast, non-fault equipment is described, then performs S5;
S4: by weighing area and the equipment failure source at the differentiation information failure judgement equipment place of faulty equipment;
S5: server continues collecting device work state information.
7. the long-range self-diagnosing method of complicated dynamic weighing sensing network as claimed in claim 6, it is characterized in that: in described S1, described dynamic weighing equipment comprises multiple vehicle equipment, multiple weighting platform, multiple LOAD CELLS, multiple axle identification equipment, multiple Vehicles separation equipment and multiple weighing instrument.
8. the long-range self-diagnosing method of complicated dynamic weighing sensing network as claimed in claim 7, it is characterized in that: in described S1, described differentiated is treated to node serial number mode, and concrete grammar is: the work state information that weighing area, each vehicle equipment, weighting platform, LOAD CELLS, axle identification equipment, Vehicles separation equipment and weighing instrument and each equipment present is numbered differentiation.
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| CN106679779A (en) * | 2016-12-12 | 2017-05-17 | 北京万集科技股份有限公司 | Vehicle separation device fault detection method and system |
| CN109855710A (en) * | 2019-03-11 | 2019-06-07 | 耿建航 | A kind of truck scale weighing condition monitoring system and detection method |
| CN111457999A (en) * | 2020-04-10 | 2020-07-28 | 上海东普信息科技有限公司 | Express weighing abnormity checking method, device, equipment and storage medium |
| CN112130572A (en) * | 2020-09-29 | 2020-12-25 | 重庆市华驰交通科技有限公司 | Electromechanical equipment maintenance individual soldier assisting method and system based on wearable equipment |
| CN113110246A (en) * | 2021-05-18 | 2021-07-13 | 山东建筑大学 | Offshore wind power generation infrastructure safety monitoring device |
| CN114910151A (en) * | 2022-05-10 | 2022-08-16 | 浙江省计量科学研究院 | Remote fault diagnosis system and method for off-site law enforcement weighing equipment |
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| CN106679779A (en) * | 2016-12-12 | 2017-05-17 | 北京万集科技股份有限公司 | Vehicle separation device fault detection method and system |
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| CN114910151A (en) * | 2022-05-10 | 2022-08-16 | 浙江省计量科学研究院 | Remote fault diagnosis system and method for off-site law enforcement weighing equipment |
| CN114910151B (en) * | 2022-05-10 | 2024-03-22 | 浙江省计量科学研究院 | Remote fault diagnosis system and method for off-site law enforcement weighing equipment |
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| CN105222879B (en) | 2018-08-21 |
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