CN109917831A - Intelligent temperature control data management system and method based on medium - Google Patents
Intelligent temperature control data management system and method based on medium Download PDFInfo
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Abstract
The present invention provides a kind of intelligent temperature control data management system and method based on medium, objects all in system can be ranked up according to object properties, in real time according to Obj State parameter, network connection state parameter and operational order upgating object state, judge whether the object of Status Change works normally, prompt alarm when abnormal；Simultaneously, data comparison and displaying are carried out to more storehouses from multiple dimensions, solve in the prior art can not real-time and precise obtain dam Temperature-controlled appliance state, comprehensive the problem of control is analyzed can not be carried out to all devices, improve the timeliness of the data management of system, manpower and material resources have been saved, accurate, real-time, online intelligent control water passage system equipment and temperature function are realized.
Description
Technical field
The present invention relates to intelligent temperature control fields, control more specifically to a kind of intelligent temperature based on medium
Data management system and method.
Background technique
High Concrete Dam construction is big with storehouse surface area, it is difficult to pour complex procedures, internal heat dissipating, maximum temperature control is difficult
Etc. characteristics, be easy to produce thermal cracking.These thermal crackings are easily extended to deeper clefts under extraneous factor effect and even pass through
The safety of dam body is jeopardized in wearing property crack.For high dam, the main anticracking challenge of construction time is Concrete temperature controlling.
Currently, the monitoring of water flowing cooling or heating mainly passes through artificial ball valve, mercurial thermometer and conventional water meter using people
Then work record carries out artificial live regulating flow according to record data.It is long to manually adjust water flowing flow intervals, artificial acquisition temperature
It degree and data on flows heavy workload and is affected by subjective factor and equipment operation condition, leads to huge water resource wave
Take.It is also difficult to realize that the more monolith bulk temperatures of dam control in phase when manual control concrete dam temperature, different monolith storehouses number
Concrete temperature controlling is difficult to refine, personalized temperature control.
The field datas such as concrete temperature and water flowing traffic environment are shared and utilization is insufficient, often rest on some craft
The table engineering site of the record perhaps electronization in computer is taken part in building each side and rear management unit or expert team, scientific research department
5 are not readily available real time data, thus aid decision and support.Therefore, it is necessary to a kind of, and the intelligent temperature based on medium controls number
According to management system and method, the data of each equipment in real-time acquisition system, and system control can be carried out from multiple dimensions, from
And guarantee to control the accurate temperature in the more storehouses of dam.
Summary of the invention
In view of this, the intelligent temperature control data management system that the purpose of the present invention is to provide a kind of based on medium and
Method solves the problems, such as conventional temperature control method to the more demanding, inadequate with larger hysteresis quality, accuracy of manpower, is based on
The real-time data acquisition of multiple spot is managed data all in system, can show from various dimensions after for statistical analysis
Operator, to realize water flowing temperature control accurate to dam, real-time, automatic.
In order to solve the above-mentioned technical problem, it is proposed that scheme it is as follows:
A kind of intelligent temperature control data management system based on medium, comprising:
Hardware device, front end data acquisition feedback unit, cloud service unit, operating control device.
The hardware device, and the wired or wireless connection of front end data acquisition feedback unit, for adjusting and feeding back
Obj State parameter and object properties information.
The front end data acquisition feedback unit is connect with the cloud service unit wireless, described in acquiring in real time
The Obj State parameter that hardware device is sent, and network connection state parameter and object properties information are obtained in real time, it will be described right
As state parameter, the network connection state parameter and the object properties information are transmitted to the cloud service unit.
The operating control device is connect with the cloud service unit, for receiving the operation life of operator's input
It enables, and shows the information that the cloud service unit is fed back to operator, the operational order includes operator to object
The operation of state is modified.
The cloud service unit is connect with the operating control device and the front end data acquisition feedback unit, is used
In receiving user operation commands from the operating control device, the object shape is received from the front end data acquisition feedback unit
State parameter and the network connection state parameter.
The cloud service unit includes object information data library, data analysis unit and compares display unit, wherein.
The object information data library, the user operation commands sent for storing the operating control device are described hard
The Obj State parameter of part device and the front end data acquisition feedback unit, the object properties information and described
Network connection state parameter.
The data analysis unit, for the Obj State according to preset control strategy information analysis real-time reception
Parameter, the network connection state parameter and user operation commands, determine the hardware device of Status Change, to the comparison
Display unit sending object Status Change information；And further judge whether the hardware device of Status Change is in normal work
State, if being not on normal operating conditions, to the comparison display unit sending object abnormal state information.
The comparison display unit, for according to the hardware device all in the object properties information architecture system
With the front end data acquisition feedback unit topological diagram；It compares and opens up from data of at least one dimension to each storehouse of dam
Show.
Preferably, the preset control strategy uses deeply learning algorithm, specifically includes the following steps:
S1: training dataset collects real scene historical data；
S2: establishing simulation model, determines rewards and punishments value and state transinformation, determines the motion space of strategy, all intelligence
The value parameter of body respective action determines best movement according to above-mentioned metric；
S3: simulation model is trained and is learnt using training set, obtains typical model；
S4: Real-time Decision is carried out using the typical model.
Preferably, the step S2 is specifically included the following steps:
Define first state set s=(concrete temperature, water flowing flow velocity, hydraulic pressure, water, cooling-water machine arrangement, inlet and outlet temperature
Difference, temperature, day rate of temperature fall, change of current rate, heat transfer rate)；
Definition motion space ai ∈ opening value 1, opening value 2 ..., opening value i }, wherein the opening value is discrete
Value, i are the integer greater than 0；
It according to the first state set s, makes a policy, selection acts ak；The movement ak is stored in the second state
In set s ', state transition function T is formed；
Selected default temperature control curve is the measurement of Reward-Penalty Functions at a distance from measured curve, can be given when deviation is too big
A penalty value out；
The deviation of selected practical temperature control curve and measured curve is as Loss function.
Preferably, at least one described dimension includes one of following dimension: metric, coordinate value, performance rating, progress,
And/or cost.
Preferably, the system comprises one or more front end data acquisition feedback units and the hardware device,
Each front end data acquisition feedback unit is at least connect with one or more hardware devices.
Preferably, the preset control strategy information includes at least one of following information: the network topology of water passage system
The conventional sense of each hardware, hardware state variation duration system when structure, historical temperature development law parameter, system worked well
Meter, deeply learning algorithm.
Preferably, the metric includes at least one: concrete temperature, water flowing flow, the inlet and outlet temperature difference, gas
Temperature, day rate of temperature fall, change of current rate, heat transfer rate；The coordinate value includes at least one: time, spatial relationship.
Preferably, the hardware device includes one stream temperature control device, and/or sensor.
Preferably, the sensor includes at least following one: temperature sensor, flow sensor, air velocity transducer, wet
Spend sensor, transverse joint crack gauge, strain transducer.
Preferably, the Obj State parameter that the hardware device is sent includes sensing data and/or network connection state
Information.
Preferably, the cloud service unit further includes alarm unit, when the alarm unit receives the object shape
When state exception information, warning message is prompted to administrative staff.
Preferably, the operating control device includes moving operation control device, and/or remote operation control device.
A method of the intelligent temperature based on medium controls data management, comprising:
Cloud service unit obtains pair of all hardware device and front end data acquisition feedback unit in the system in real time
As state parameter, network connection state parameter and object properties information, user operation commands are received from operating control device；
The object information data library of the cloud service unit stores the user operation commands, the Obj State ginseng
Number, network connection state parameter and object properties information, and it is sent to data analysis unit；
The data analysis unit according to the Obj State parameter of preset control strategy information analysis real-time reception,
The network connection state parameter and user operation commands, determine the hardware device of Status Change, show to the comparison single
First sending object Status Change information；
The data analysis unit further judges whether the hardware device of Status Change is in normal operating conditions, such as
Fruit is not on normal operating conditions, to the comparison display unit sending object abnormal state information；
The comparison display unit is according to the hardware device and institute all in the object properties information architecture system
Front end data acquisition feedback unit topological diagram is stated, compares and shows from data of at least one dimension to each storehouse of dam.
Preferably, at least one described dimension includes one of following dimension: metric, coordinate value, performance rating, progress,
And/or cost.
Preferably, the system comprises one or more front end data acquisition feedback units and the hardware device,
Each front end data acquisition feedback unit is at least connect with one or more hardware devices.
Preferably, the preset control strategy information includes at least one of following information: the network topology of water passage system
The conventional sense of each hardware, hardware state variation duration system when structure, historical temperature development law parameter, system worked well
Meter, deeply learning algorithm.
Preferably, the preset control strategy uses deeply learning algorithm, specifically includes the following steps:
S1: training dataset collects real scene historical data；
S2: establishing simulation model, determines rewards and punishments value and state transinformation, determines the motion space of strategy, all intelligence
The value parameter of body respective action determines best movement according to above-mentioned metric；
S3: simulation model is trained and is learnt using training set, obtains typical model；
S4: Real-time Decision is carried out using the typical model.
Preferably, the step S2 is specifically included the following steps:
Define first state set s=(concrete temperature, water flowing flow velocity, hydraulic pressure, water, cooling-water machine arrangement, inlet and outlet temperature
Difference, temperature, day rate of temperature fall, change of current rate, heat transfer rate)；
Definition motion space ai ∈ opening value 1, opening value 2 ..., opening value i }, wherein the opening value is discrete
Value, i are the integer greater than 0；
It according to the first state set s, makes a policy, selection acts ak；The movement ak is stored in the second state
In set s ', state transition function T is formed；
Selected default temperature control curve is the measurement of Reward-Penalty Functions at a distance from measured curve, can be given when deviation is too big
A penalty value out；
The deviation of selected practical temperature control curve and measured curve is as Loss function.
Preferably, the data analysis unit further judges whether the hardware device of Status Change is in normal work
State updates the status information of the hardware device in the object information data library if being in normal operating conditions.
It can be seen from the above technical scheme that the intelligent temperature provided by the embodiments of the present application based on medium controls data
Management system and method can be ranked up objects all in system according to object properties, in real time according to Obj State parameter,
Network connection state parameter and operational order upgating object state, judge whether the object of Status Change works normally, abnormal
When prompt alarm；Meanwhile data comparison and displaying are carried out to more storehouses from multiple dimensions, solving in the prior art can not be real
When precisely obtain dam Temperature-controlled appliance, can not it is comprehensive to all devices carry out control analysis the problem of, improve system
Data management timeliness, saved manpower and material resources, realized accurate, real-time, automatic control water passage system equipment and temperature
Spend function.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the premise made the creative labor below
Under, other attached drawings can also be obtained according to the attached drawing of offer.
Fig. 1 is the structural schematic diagram of the intelligent temperature control data management system of the invention based on medium.
Fig. 2 is the surface chart of the comparison display unit of the intelligent temperature control data management system of the invention based on medium
One of.
Fig. 3 is the surface chart of the comparison display unit of the intelligent temperature control data management system of the invention based on medium
The two of figure.
Fig. 4 is the surface chart of the comparison display unit of the intelligent temperature control data management system of the invention based on medium
Three.
Fig. 5 is the surface chart of the comparison display unit of the intelligent temperature control data management system of the invention based on medium
Four.
Fig. 6 is the surface chart of the comparison display unit of the intelligent temperature control data management system of the invention based on medium
Five.
Fig. 7 is the surface chart of the comparison display unit of the intelligent temperature control data management system of the invention based on medium
Six.
Fig. 8 is the surface chart of the comparison display unit of the intelligent temperature control data management system of the invention based on medium
Seven.
Fig. 9 is the surface chart of the comparison display unit of the intelligent temperature control data management system of the invention based on medium
Eight.
Figure 10 is the flow chart of the intelligent temperature control data managing method of the invention based on medium.
Figure 11 is the flow chart of deeply learning algorithm of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In the prior art, intelligent temperature control system generally includes following several parts: 1, sensor layer；2, module layer；
3, local data management (industrial personal computer)；4, cloud data management；5, data mining and the method for utilizing；6, data multidimensional degree is to analogy
Method.
Medium mentioned here includes but is not limited to: water, gas etc..
Intelligent temperature control data are managed, common practice is at present:
It is stored and is shown to the data come are collected, including tabular form and various figures.Conventional way is to use table
Case form, for the system with accurate coordinate, is generally showed with GIS come what is shown, and the present invention is emphatically based on intelligence
The interactive mode of comparison that the characteristics of water passage system is designed innovation had both considered that true position is closed using therebetween
System, it is also considered that logical relation.
As shown in Figure 1, a kind of intelligent temperature based on medium provided by the invention controls data management system, comprising: hard
Part device (101,102,103,104), front end data acquisition feedback unit (201,202), cloud service unit 300, operation control
Device 400 processed.
Hardware device (101,102,103,104), respectively with front end data acquisition feedback unit (201,202) is wired or nothing
Line connection, for adjusting and feedback target state parameter and object properties information.
Hardware device includes one stream temperature control device, and/or sensor.Sensor includes at least following one: temperature
Sensor, flow sensor, air velocity transducer, humidity sensor, transverse joint crack gauge, strain transducer.
The Obj State parameter that hardware device is sent includes sensing data and/or network connection state information.
Front end data acquisition feedback unit (201,202) is wirelessly connected with cloud service unit 300, for acquiring in real time
The Obj State parameter that hardware device is sent, and network connection state parameter and object properties information are obtained in real time, by object shape
State parameter, network connection state parameter and object properties information are transmitted to cloud service unit 300.
System includes one or more front end data acquisition feedback units and hardware device, each front end data acquisition feedback
Unit is at least wirelessly connected with one or more hardware devices.Wireless connection refers to one of following radio connections: 802.11,
802.16, bluetooth, Zigbee, UWB, CDMA, GSM.
Operating control device 400 is connect with the cloud service unit 300, for receiving the operation life of operator's input
It enables, and shows the information that cloud service unit 300 is fed back to operator, wherein operational order includes operator to object shape
The operation of state is modified.
Operating control device 400 can be moving operation control device, be also possible to remote operation control device.System
Framework can be based on browser/server (B/S) framework, be also possible to based on client/server (C/S) framework.
Cloud service unit 300 is connected with operating control device 400 and front end data acquisition feedback unit (201,202),
For receiving user operation commands from operating control device 400, object is received from front end data acquisition feedback unit (201,202)
State parameter and network connection state parameter.
Cloud service unit includes object information data library 301, data analysis unit 302, comparison display unit 303 and report
Alert unit 304.
Object information data library 301, for storing the user operation commands of operating control device transmission, hardware device is with before
Obj State parameter, object properties information and the network connection state parameter of end data acquisition feedback unit.
Data analysis unit 302, for according to the Obj State parameter of preset control strategy information analysis real-time reception,
Network connection state parameter and user operation commands determine the hardware device of Status Change, send out to comparison display unit 303
Send Obj State modification information, and the status information of the hardware device in upgating object information database 301.
Data analysis unit 302 further judges whether the hardware device of Status Change is in normal operating conditions, such as
Fruit is not on normal operating conditions, to comparison 303 sending object abnormal state information of display unit.If in working normally
State, the then status information of the hardware device in upgating object information database 301.
Wherein, preset control strategy information includes at least one of following information: the network topology structure of water passage system is gone through
The conventional sense of each hardware, hardware state variation duration statistics, depth are strong when history temperature evolution rule parameter, system worked well
Change learning algorithm.
Wherein preset control strategy selects deeply learning algorithm, is specifically a kind of Actor-Critic calculation
Method comprises the following steps:
S1: training dataset collects passing real scene information.
S2: establishing simulation model, determines rewards and punishments value and state transinformation, determines the motion space of strategy, all intelligence
The value parameter of body respective action determines best movement according to above-mentioned metric.
Step S2 is specifically included the following steps:
Define first state set s=(concrete temperature, water flowing flow velocity, hydraulic pressure, water, cooling-water machine arrangement, inlet and outlet temperature
Difference, temperature, day rate of temperature fall, change of current rate, heat transfer rate)；
Definition motion space ai ∈ opening value 1, opening value 2 ..., opening value i }, wherein the opening value is discrete
Value, i are the integer greater than 0；
It according to the first state set s, makes a policy, selection acts ak；The movement ak is stored in the second state
In set s ', state transition function T is formed；
Selected default temperature control curve is the measurement of Reward-Penalty Functions at a distance from measured curve, can be given when deviation is too big
A penalty value out；
The deviation of selected practical temperature control curve and measured curve is as Loss function.
S3: simulation model is trained and is learnt using training set, obtains typical model.
S4: Real-time Decision is carried out using above-mentioned trained model.
Its code is described as follows:
Input: iteration wheel number T, state characteristic dimension n, behavior aggregate A, step-length α, β, decay factor γ, exploration rate ∈,
Critic network and Actor network.
Output: Actor network parameter θ, Critic network parameter w.
It executes:
1, all states of random initializtion and the corresponding value Q of movement.
2, iterative cycles i is from 1 to T.
A) initialization S is first state of current state sequence, obtains its feature vector φ (S)；
B) use φ (S) as input in Actor network, output action A obtains new state S ' based on movement A, instead
Present R；
C) it uses φ (S), φ (S ') as input respectively in Critic network, obtains the output of Q value V (S), V (S ')；
D) Timing Difference TD error delta=R+ γ V (S ')-V (S) is calculated；
E) it the gradient updating of Critic network parameter w: uses mean square deviation loss function ∑ (R+V (S ')-V (S, w))2；
F) TD error is δ (t)=Rt+1+ γ Q (St+1, At+1)-Q (St, At), updates Actor network parameter θ:
Database saves state, and one uploads the real-time refreshing of data from internet of things sensors, on the other hand comes from
Constructing operation personnel modify the operation of location mode on site.That is, this state is real-time refreshes and artificial setting
Joint effect.In view of huge Internet of Things acquires the various complex situations of data, system devises certain fault-tolerant ability.Internet of Things
In the step for netting real-time Flushing status, it is contemplated that sometimes signal, which will appear exception or scene, the case where wrong line, only
There are the data for meeting certain decision criteria to be just considered genuine and believable, this rule is formed on the basis of deep learning
's.For example a kind of situation, scene have worker to open valve once in a while, cause live water flowing, sensor captures such case, still
In setting time T, this water flowing state is not considered as water flowing state.
Based on above data, on the one hand the information that can excavate includes:
(1) data service is in the installation of system itself, operating status and maintenance situation.It is hard based on abnormal data evaluation judgement
Part working state of device, i.e. system failure self diagnosis；Such as cooling water pipe water flowing state can be judged according to data on flows whether
Normally, if exist blocking, be interrupted, insufficient water situations such as；Data cases can be uploaded based on temperature sensor judge temperature
Sensor construction quality, if there are routes to be interrupted, temperature sensor burial place has deviation etc.；Water temperature is provided based on practical
With the quality to supply water in water supply network after data on flows and default water temperature data on flows evaluation dam, the temperature that cooling unit supplies water is fed back
Whether degree, flow, pressure etc. meet the requirements, to define the condition needed for system operates normally and boundary.Pass through evaluation system
The working condition of system hardware, which further has rated, buries monitoring instrument etc. in cooling unit and water supply network, storehouse system-related
The construction quality of link.
(2) data service is in the job evaluation of system operator.Judge that operator works based on abnormal data evaluation
State, i.e. operator with the presence or absence of faulty operation etc., i.e., in human-computer interaction process based on data to personnel's operation carry out diagnosis with
Evaluation.For example, can be by the way that operator records the manual intervention of system to determine whether losing in the presence of because operator operates
Mislead the state for causing temperature control exception；It can be by the data exception information of comparison sensor acquisition and the data information of operator
Biography record carrys out evaluation system operator, and in time whether record such as has reported power-off, has cut off the water supply at the emergency cases.
(3) data service is in service object's status assessment of system, such as the service object of intelligent water communication system is coagulation
Earth dam block.Work condition based on data evaluation monitored object, such as it can be based on temperature data, further solve temperature ladder
Degree, temperature stress, to assess construction quality and cracking risk of concrete etc.；The region coagulation can be judged according to temperature data
The gradation information of soil, the heat of hydration, radiate the information such as boundary.
Display unit 303 is compared, for according to hardware device and front end number all in object properties information architecture system
According to acquisition feedback unit topological diagram, compares and show from data of at least one dimension to each storehouse of dam.
As shown in Figures 2 and 3, it in display end, compares display unit and provides the topological diagram of each bin level of dam, interface is
It is carried out around 2D figure.Here 2D figure is just similar to an industry map, and it is exactly an enterprise that each, which pours unit,.
By taking this " check and stop temperature control compartment " as an example, closed first according to the network structure topology of the location information in each storehouse and system
System, determines the position that each storehouse is shown.
Then, can be by showing that different mark and color stopped water flowing to distinguish which storehouse, which storehouse also exists
Water flowing.According to the different color of different status displays, these operations, which are not to be manually set, to be interconnected in real time according to scene
Internet of Things is objective come the end-state detected.Because the network of rivers pipeline at scene, such as valve there may be and artificially open
It opens, the process of faulty operation, if the traditional method of state is arranged with operator, cannot really reflect scene
Actual conditions.
Comparing display unit can compare and show from data of multiple dimensions to each storehouse of dam, such as metric,
Coordinate value, performance rating, progress, and/or cost.
Metric: concrete temperature, water flowing flow, import and export the temperature difference, temperature, day rate of temperature fall, change of current rate, heat transfer rate
Deng.
Coordinate value: space-time, time (same to time, same to age) and each spatial relationship (monolith, irrigated area etc.).
It can also include being classified according to data to concrete, the comparison of the various dimensions such as quality dimensions, progress dimension.
Enterprise/industry state of development can be evaluated by the information between comparison multiple enterprises/industry, is mentioned for administrative staff
For reference.
As shown in figure 4, showing that interface is divided into three regions, storehouse to be selected operates operational order in our system
Area, results display area, it is possible to provide the method for the multiple monitored object work conditions of a comparison, such as following figure.
Here the dimension compared is a variety of attributive character of monitored object, can be carried out according to requirement of engineering customized.Including
But it is not limited to concrete dam block phase of the same age or temperature in the same time, flow, temperature difference between the inlet and outlet water, inlet and outlet water temperature, temperature, day drop
Warm rate etc..It can select to check the Measure Indexes of the different times dimension such as hour, day, week, month, year in figure simultaneously, slidably
It checks.
The embodiment of data value: it on the one hand may be implemented by the control methods to the fast of multiple monitoring object working conditions
Speed comparison and assessment, convenient for manager's real-time and precise assessment monitoring object work condition and precisely apply plan.
On the other hand it may be based on the data information of monitored object various dimensions and then evaluate the working condition of monitored object, from
And quality evaluation identification table is generated, keep the data of concrete unit engineering more comprehensively and true, convenient for reflection monitoring pair strictly according to the facts
As state.
Fig. 5 and it is shown in fig. 6 be a two storehouse temperature with age, can thus show temperature comparisons' feelings in two storehouses
Condition, as shown in fig. 7, coming according to the time, can thus show two storehouses in the same time if we convert an option of operation
Temperature variations.
Further, the displaying of data can be superimposed, that is, show multiple data targets simultaneously.For example it chooses simultaneously
Temperature and flow, as shown in Figure 8 and Figure 9, the interaction of energy intuitive displays temperature and flow in this way.
Cloud service unit 300 further includes alarm unit 304, when receiving Obj State exception information, to administrator
Member's prompt warning message.Warning message can be acoustic information, be also possible to the prompt such as bullet screen on screen.
As shown in Figure 10, a kind of intelligent temperature based on medium provided by the invention controls data managing method, comprising:
Step 101, all hardware device and front end data acquisition feedback unit in cloud service unit real-time acquisition system
Obj State parameter, network connection state parameter and object location information, from operating control device receive user operation commands.
Step 102, the object information data library of cloud service unit stores user operation commands, Obj State parameter, net
Network connection status parameter and object location information, and it is sent to data analysis unit.
Step 103, data analysis unit is according to the Obj State of preset control strategy information analysis real-time reception
Network connection state parameter and user operation commands described in parameter, determine the hardware device of Status Change, aobvious to the comparison
Show unit sending object Status Change information.
Step 104, data analysis unit further judges whether the hardware device of Status Change is in normal work shape
State.
Step 105, if abnormal operating state is in, to operated control device sending object abnormal state information.
Step 106, if being in normal operating conditions, the hardware device in the object information data library is updated
Status information.
Step 107, comparison display unit is according to hardware device and front end number all in object location information building system
According to acquisition feedback unit topological diagram, compares and show from data of at least one dimension to each storehouse of dam.
Step 108, it when the alarm unit receives the Obj State exception information, prompts to alarm to administrative staff
Information.
Finally, it is to be noted that, herein, the terms "include", "comprise" or its any other variant are intended to
Cover non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or setting
Standby intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in the process, method, article or apparatus that includes the element.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For device class embodiment,
Since it is basically similar to the method embodiment, so being described relatively simple, related place is said referring to the part of embodiment of the method
It is bright.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The foregoing description of the disclosed embodiments makes professional and technical personnel in the field can be realized or use the application.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the application.Therefore, the application
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
The flow chart and block diagram in the drawings show the method, apparatus of multiple embodiments according to the present invention and computer journeys
The architecture, function and operation in the cards of sequence product.In this regard, each box in flow chart and block diagram can generation
A part of one module, section or code of table, it is executable for realizing the computer of logic function comprising one or more
Instruction.It should also be noted that in some implementations as replacements, function marked in the box can also be to be different from attached drawing
The sequence marked occurs.It is also noted that the combination of each box or box in block diagram and flow chart, can use execution
Defined function or the dedicated hardware based system of movement realize, or can use specialized hardware and computer instruction
Combination is to realize.
Claims (13)
1. a kind of intelligent temperature based on medium controls data management system, which is characterized in that the system comprises: hardware dress
It sets, front end data acquisition feedback unit, cloud service unit, operating control device；
The hardware device is used for adjustment and feedback target with the wired or wireless connection of front end data acquisition feedback unit
State parameter and object properties information；
The front end data acquisition feedback unit is connect, for acquiring the hardware in real time with the cloud service unit wireless
The Obj State parameter that device is sent, and network connection state parameter and object properties information are obtained in real time, by the object shape
State parameter, the network connection state parameter and the object properties information are transmitted to the cloud service unit；
The operating control device is connect with the cloud service unit, for receiving the operational order of operator's input, and
The information that the cloud service unit is fed back is shown to operator, and the operational order includes operator to Obj State
Operation modification；
The cloud service unit is connect with the operating control device and the front end data acquisition feedback unit, for from
The operating control device receives user operation commands, receives the Obj State ginseng from the front end data acquisition feedback unit
The several and network connection state parameter；
The cloud service unit includes object information data library, data analysis unit and comparison display unit, in which:
The object information data library, the user operation commands sent for storing the operating control device, the hardware dress
Set the Obj State parameter, the object properties information and the network with the front end data acquisition feedback unit
Connection status parameter；
The data analysis unit, for being joined according to the Obj State of preset control strategy information analysis real-time reception
Several, the described network connection state parameter and user operation commands, determine the hardware device of Status Change, aobvious to the comparison
Show unit sending object Status Change information；And further judge whether the hardware device of Status Change is in normal work shape
State, if being not on normal operating conditions, to the comparison display unit sending object abnormal state information；
The comparison display unit, for according to the hardware device and institute all in the object properties information architecture system
State front end data acquisition feedback unit topological diagram；It compares and shows from data of at least one dimension to each storehouse of dam；
Wherein, at least one described dimension includes one of following dimension: metric, coordinate value, performance rating, progress, and/or at
This；
The system comprises one or more front end data acquisition feedback units and the hardware device, each front ends
Data acquisition feedback unit is at least connect with one or more hardware devices；
The preset control strategy information includes at least one of following information: network topology structure, the history temperature of water passage system
Spend the conventional sense of each hardware when development law parameter, system worked well, hardware state variation duration statistics, deeply
Practise algorithm.
2. system according to claim 1, it is characterised in that: the preset control strategy is calculated using deeply study
Method specifically includes the following steps:
S1: training dataset collects real scene historical data；
S2: establishing simulation model, determines rewards and punishments value and state transinformation, determines the motion space of strategy, all intelligent bodies pair
The value parameter that should be acted determines best movement according to above-mentioned metric；
S3: simulation model is trained and is learnt using training set, obtains typical model；
S4: Real-time Decision is carried out using the typical model.
3. system according to claim 2, it is characterised in that: the step S2 is specifically included the following steps:
Definition first state set s=(concrete temperature, water flowing flow velocity, hydraulic pressure, water, cooling-water machine arrangement import and export the temperature difference,
Temperature, day rate of temperature fall, change of current rate, heat transfer rate)；
Definition motion space ai ∈ opening value 1, opening value 2 ..., opening value i }, wherein the opening value is discrete value, i
For the integer greater than 0；
It according to the first state set s, makes a policy, selection acts ak；The movement ak is stored in the second state set
In s ', state transition function T is formed；
Selected default temperature control curve is the measurement of Reward-Penalty Functions at a distance from measured curve, and one can be provided when deviation is too big
A penalty value；
The deviation of selected practical temperature control curve and measured curve is as Loss function.
4. system according to claim 1, it is characterised in that: the metric includes at least one: coagulation soil temperature
Degree, water flowing flow, the inlet and outlet temperature difference, temperature, day rate of temperature fall, change of current rate, heat transfer rate；The coordinate value include at least it is following it
One: time, spatial relationship.
5. system according to claim 1 or 2, it is characterised in that: the hardware device include one stream temperature control device,
And/or sensor.
6. system according to claim 3, it is characterised in that: the sensor includes at least following one: temperature sensing
Device, flow sensor, air velocity transducer, humidity sensor, transverse joint crack gauge, strain transducer.
7. system according to claim 3, it is characterised in that: the Obj State parameter that the hardware device is sent includes passing
Sensor data and/or network connection state information.
8. system according to claim 1 or 2, it is characterised in that: the cloud service unit further includes alarm unit, when
When the alarm unit receives the Obj State exception information, warning message is prompted to administrative staff.
9. system according to claim 1 or 2, it is characterised in that: the operating control device includes moving operation control
Device, and/or remote operation control device.
10. a kind of method of the intelligent temperature control data management based on medium, which is characterized in that the described method includes:
Cloud service unit obtains the object shape of all hardware device and front end data acquisition feedback unit in the system in real time
State parameter, network connection state parameter and object properties information receive user operation commands from operating control device；
The object information data library of the cloud service unit stores the user operation commands, the Obj State parameter, net
Network connection status parameter and object properties information, and it is sent to data analysis unit；
The data analysis unit is according to the Obj State parameter of preset control strategy information analysis real-time reception, described
Network connection state parameter and user operation commands determine the hardware device of Status Change, send out to the comparison display unit
Send Obj State modification information；
The data analysis unit further judges whether the hardware device of Status Change is in normal operating conditions, if do not had
Have in normal operating conditions, to the comparison display unit sending object abnormal state information；
The comparison display unit according to hardware device all in the object properties information architecture system and it is described before
End data acquires feedback unit topological diagram, compares and shows from data of at least one dimension to each storehouse of dam；
Wherein, at least one described dimension includes one of following dimension: metric, coordinate value, performance rating, progress, and/or at
This；
The system comprises one or more front end data acquisition feedback units and the hardware device, each front ends
Data acquisition feedback unit is at least connect with one or more hardware devices；
The preset control strategy information includes at least one of following information: network topology structure, the history temperature of water passage system
Spend the conventional sense of each hardware when development law parameter, system worked well, hardware state variation duration statistics, deeply
Practise algorithm.
11. according to the method described in claim 10, it is characterized by: the preset control strategy is learnt using deeply
Algorithm specifically includes the following steps:
S1: training dataset collects real scene historical data；
S2: establishing simulation model, determines rewards and punishments value and state transinformation, determines the motion space of strategy, all intelligent bodies pair
The value parameter that should be acted determines best movement according to above-mentioned metric；
S3: simulation model is trained and is learnt using training set, obtains typical model；
S4: Real-time Decision is carried out using the typical model.
12. according to the method for claim 11, it is characterised in that: the step S2 is specifically included the following steps:
Definition first state set s=(concrete temperature, water flowing flow velocity, hydraulic pressure, water, cooling-water machine arrangement import and export the temperature difference,
Temperature, day rate of temperature fall, change of current rate, heat transfer rate)；
Definition motion space ai ∈ opening value 1, opening value 2 ..., opening value i }, wherein the opening value is discrete value, i
For the integer greater than 0；
It according to the first state set s, makes a policy, selection acts ak；The movement ak is stored in the second state set
In s ', state transition function T is formed；
Selected default temperature control curve is the measurement of Reward-Penalty Functions at a distance from measured curve, and one can be provided when deviation is too big
A penalty value；
The deviation of selected practical temperature control curve and measured curve is as Loss function.
13. method described in 0 or 11 according to claim 1, it is characterised in that: the data analysis unit further judges state
Whether the hardware device of change is in normal operating conditions, if being in normal operating conditions, updates the object information
The status information of the hardware device in database.
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