CN115174648B - Front-end equipment control method for bridge construction equipment control - Google Patents
Front-end equipment control method for bridge construction equipment control Download PDFInfo
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Abstract
The invention discloses a control method of front-end equipment controlled by bridge construction equipment, which relates to the technical field of control and solves the technical problem of front-end equipment control.A scheme adopted comprises the steps of I, inputting a data information control command for controlling the front-end equipment of the bridge construction equipment, and transmitting information of different data information control command control commands by the input data information control command through a master-slave block chain structure model; step two, realizing the association of different front-end equipment communication interaction nodes through a FolkRank algorithm model, and realizing the interaction of different information through a data information control command received by the front-end equipment in a communication label mode so as to improve the data interaction capacity; and thirdly, realizing communication of data information control commands of different front-end equipment communication interaction nodes and communication fault diagnosis and judgment through a communication judgment function. The processing and application capabilities of the data information control command are greatly improved.
Description
Technical Field
The invention relates to the technical field of control, in particular to a front-end equipment control method for bridge construction equipment control.
Background
A bridge construction (bridge construction) process of constructing a bridge according to design contents; mainly refers to the contents of bridge construction technology, construction organization, construction management, construction quality and the like. The preparation work before bridge construction is one of important links for keeping working according to basic procedures and construction procedures. How to realize the control of bridge construction equipment is a technical problem to be solved urgently.
Patent number CN202010206994.8 discloses a bridge construction equipment safety monitoring and early warning method and system, which can realize control in different modes in the front-end equipment control process, and by calculating the theoretical value of the construction equipment monitoring index in the current construction stage, obtain the monitoring values of each monitoring index of the construction equipment in the test stage and the completed similar load construction stage; determining a three-level early warning value of the construction equipment at the current construction stage; judging the construction risk state of the construction equipment at the current moment according to the monitoring value of the monitoring index of the construction equipment at the current construction stage; the method combines the analysis of the obvious risk source in the construction process of the bridge construction equipment, provides a method for setting the monitoring and early warning value of the bridge construction equipment, obtains a plurality of monitoring indexes and a method for setting the early warning value, and quickly and safely monitors the construction equipment. Although the method can realize the control capability of the bridge construction equipment, the remote data control of the data information control command cannot be realized.
Patent No. CN201620888982.7 discloses bridge construction equipment for construction engineering and construction equipment for controlling water outlet by internet of things, wherein a hardware structure of the construction equipment comprises a hollow rod; the handle is arranged at one end of the hollow rod; a connecting member, the connecting member being jogged with the hollow bar; the shovel head is connected with the connecting piece; the upper end of the hollow rod is provided with a piston rod, the piston rod is connected with a piston, and the piston is connected with the hollow rod piston; the lower end of the hollow rod is closed; a liquid containing cavity is formed between the piston and the lower end of the hollow rod, and an containing groove is formed in the outer side of the lower part of the hollow rod; the liquid holds the chamber and is equipped with an opening, the opening part is equipped with an L venturi tube, the end of L venturi tube is down. According to the technical scheme, remote communication of the data information control command is achieved through the internet of things technology, the safety monitoring and early warning capacity of bridge construction equipment can be improved, encryption and storage of the data information control command cannot be achieved, data communication of different network nodes of the data information control command is difficult to achieve, and the data sharing capacity is poor.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a front-end equipment control method for controlling bridge construction equipment, which can realize remote data control and remote information sharing of a data information control command and greatly improve the processing and application capabilities of the data information control command.
A front-end equipment control method for bridge construction equipment control comprises the following steps:
inputting a data information control command of front-end equipment of control bridge construction equipment, transmitting information of different data information control commands by the input data information control command through a master-slave block chain structure model, connecting different front-end equipment in a block chain data information control command network, and realizing information interaction in the block chain network of the front-end equipment data information control command;
step two, realizing the association of different front-end equipment communication interaction nodes through a FolkRank algorithm model, and realizing the interaction of different information through a data information control command received by the front-end equipment in a communication label mode so as to improve the data interaction capacity;
and thirdly, realizing communication of data information control commands of different front-end equipment communication interaction nodes and communication fault diagnosis and judgment through a communication judgment function.
As a further technical solution of the present invention, the master-slave block chain structure model includes an information input module, an information collection module, a matching module and an evaluation module, wherein an output end of the information input module is connected with an input end of the information collection module, an output end of the information collection module is connected with an input end of the matching module, and an output end of the matching module is connected with an input end of the evaluation module;
the information input module is used for receiving a data information control command of front-end equipment;
the information collection module is used for collecting data information control commands with different attributes, different communication protocols or different types in the data information control commands of the front-end equipment into data nodes in the same block chain network;
the matching module is used for matching received different attributes and different communication protocols or matching received different types of data information control commands and collecting the data information control commands under the same block chain network;
the evaluation module is used for evaluating the received different attributes and different communication protocols or evaluating different types of data information control commands and collecting the data information control commands under the same block chain network.
As a further technical scheme of the invention, the matching module quantizes the analog parameters into discrete digital parameters through the FPGA control module for processing, matches the data information control command through the matching module, and converts the data information control command from time domain information into a frequency domain data information control command through FFT conversion.
As a further technical scheme of the invention, the master-slave block chain structure model is compatibly provided with a block chain node and a CAN bus data node.
As a further technical scheme of the invention, the communication judgment function realizes the judgment of the data information control command through a WBS judgment model, and the working method comprises the following steps:
step one, an iteration function expression is set, wherein the iteration function expression is shown as a formula (1):
in the formula (1), P 0 A model verification problem function representing the set communication state judgment model of the front-end equipment, wherein x represents a model node with possible errors in the communication state of the front-end equipmentAmount of fruit variable, R n The total number of model result variables representing possible errors in the communication state of the front-end equipment is A, B and B, wherein A represents a simulation display result of a distributed model of the communication state of the front-end equipment, and B represents the minimum deviation degree of a judgment result of a communication state model of the front-end equipment;
then, the distribution threshold value is converted into an equation with a general function law through a distribution threshold value equation, and the expression is shown as an equation (2):
(S λ,1 (x)) i ＝sgn(x i )s λ (|x i |)＝sgn(x i )max{|x i |-λ,0} (2)
in the formula (2), S λ,1 (x) Distributed threshold equation, sgn (x), representing the communication state of the front-end device i ) Representing the communication state symbolic function of the front-end equipment, and determining the parameter change rule of the independent variable, s λ The type of the automatic control information of the communication state of the distributed front-end equipment is represented, and lambda represents a coordinate point set by a judgment result;
substituting the distributed threshold equation into equation (1), calculating a maximum difference expression as shown in equation (3):
in the formula (3), R λ,1 (x) The maximum difference value of the set coordinates of the simulation result of the communication state judgment model of the front-end equipment is represented, lambda represents a coordinate point set by the judgment result, and alpha represents the coefficient difference between the optimal solution of the communication state of the front-end equipment and the data function;
the maximum difference value of the communication state data of the front-end equipment is determined by a WBS judgment model display result, and the maximum difference value is calculated according to the input judgment model simulation data:
in the formula (4), x represents a model result variable with possible error in the communication state of the front-end equipment, and w represents total communication data information recorded by the front-end equipment communication state judgment modelControl command stability factor, λ represents coordinate point set by the determination result, G λ,α (w) represents a constant of change in the model of the front-end device communication state;
and finally obtaining the optimal solution expression of the formula (1) by using the maximum difference value of the coordinate points of the formula (3) as shown in the formula (5):
x n+1 ＝R λ,α (x n +μ(A T b-A T Ax n )) (5)
in the formula (5), R λ,α Represents the maximum difference of the solved judgment data, mu represents the deviation coefficient of the simulation result compared with the standard data, A T Representing the change of the simulation result of the model in the delay time, b representing the minimum deviation of the judgment result of the model, A representing the distributed simulation display of the model, and x n Denotes the judgment result of the initial verification, x n+1 Shows the result of the (n + 1) th verification data display.
To achieve the above object, the present invention has the following advantageous and positive effects.
The method inputs a data information control command of front-end equipment of control bridge construction equipment, realizes information transmission of different data information control commands through a master-slave block chain structure model by the input data information control command, connects different front-end equipment in a block chain data information control command network, and realizes information interaction in the block chain network of the front-end equipment data information control command; the method comprises the steps that the association of communication interaction nodes of different front-end equipment is realized through a FolkRank algorithm model, and the interaction of different information is realized through a data information control command received by the front-end equipment in a communication label mode, so that the data interaction capacity is improved; and realizing communication of data information control commands of different front-end equipment communication interaction nodes and communication fault diagnosis and judgment through a communication judgment function.
Drawings
Fig. 1 is a flowchart of an industrial internet device operation state monitoring method according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present invention will be further described with reference to the following examples. A front-end equipment control method for bridge construction equipment control comprises the following steps:
inputting a data information control command of front-end equipment of control bridge construction equipment, transmitting information of different data information control commands by the input data information control command through a master-slave block chain structure model, connecting different front-end equipment in a block chain data information control command network, and realizing information interaction in the block chain network of the front-end equipment data information control command;
step two, realizing the association of different front-end equipment communication interaction nodes through a FolkRank algorithm model, and realizing the interaction of different information through a data information control command received by the front-end equipment in a communication label mode so as to improve the data interaction capacity;
and thirdly, realizing communication of data information control commands of different front-end equipment communication interaction nodes and communication fault diagnosis and judgment through a communication judgment function.
In the above embodiment, the master-slave blockchain structure model includes an information input module, an information aggregation module, a matching module and an evaluation module, wherein an output end of the information input module is connected to an input end of the information aggregation module, an output end of the information aggregation module is connected to an input end of the matching module, and an output end of the matching module is connected to an input end of the evaluation module, wherein the information input module is configured to receive a front-end device data information control command, and the information aggregation module is configured to aggregate data information control commands of different attributes, different communication protocols or different types in the front-end device data information control command to data nodes in the same blockchain network;
the matching module is used for matching received different attributes and different communication protocols or matching received different types of data information control commands and collecting the data information control commands under the same block chain network;
the evaluation module is used for evaluating the received data information control commands with different attributes and different communication protocols or evaluating different types of data information control commands and collecting the data information control commands under the same block chain network.
In the above embodiment, the master-slave block chain structure model can summarize data output by the front-end device data information control command, match the front-end data information control command with the interactive data information control command in the block chain network, so as to maximally simplify the block chain data operation process, improve the block chain network data interaction, improve the construction quality, enable a user to obtain an applied construction process in the front-end device system, enable the user to enjoy a streamlined construction system in the construction system, and enable the construction mode to be more systematic and the experience to be better.
The master-slave block chain structure model mainly forms a construction special item matching mode, and a circulation system is established through a block chain network to complete information interaction or circulation among an operation end, a control end, a transmission node and a block chain network node. The operation end is respectively a control terminal in the bridge construction process and transfers the operation data information control command to the block chain user network; the control end mainly analyzes the concrete information condition of the bridge construction, and supplies fault information, control commands, state indexes or other data information control commands in the bridge construction to users through user demand data; the control end evaluates the construction condition of the bridge by converting different control commands,
The construction mode of the master-slave block chain plays an important role in improving the construction evaluation of bridge construction, so that a construction system can perform special supply according to the requirements of users, the matching time is shortened to the maximum degree, meanwhile, a circulating construction system plays an important role in strengthening the construction state of the bridge, the construction state information is stored to the maximum degree in the process, the requirements of the users are met, and meanwhile, the closed-loop monitoring of construction safety is guaranteed.
In a specific embodiment, the information aggregation module is a communication network provided with a node layer.
In a specific embodiment, for example, a front-end communication module may be set to implement data information control command interaction, and the front-end communication module is driven by a service program and gathers data information control commands together through a routing rule. The basis may be a communication protocol, a communication rule, a communication instruction, a communication attribute, or the like.
In a specific embodiment, the matching module quantizes the analog parameters into discrete digital parameters through the FPGA control module for processing, matches the data information control command through the matching module, and converts the data information control command from time domain information into a frequency domain data information control command through FFT.
In a specific embodiment, buffering work is required when data flows into the data control module, and the data and the FFT control signal are ensured to synchronously enter the FFT module. In order to save resources of the FPGA, the same functional blocks, such as FFT/IFFT, can be multiplexed. If the FFT and IFFT modules are multiplexed, a state machine should be added to the input module for control. State 1 is a state of data input without any raw data input and without IFFT operation; state 2 is a state in which only raw data is input and no data is input for the IFFF operation; state 3 is a state in which no original data is input but data subjected to IFFT operation is input. The state machine only needs the enable signal with valid original data and the enable signal with valid data after matching multiplication to control. State 1 represents the entire system in an operational state waiting for data input initialization. State 2 represents the operation of the raw data for FFT operation. State 3 represents the operation of matching the multiplied data for IFFT.
In the design of the FFF/IFFT module, in order to improve the performance of the design and increase the flexibility of the design, IPcore of FFT with version number 2.1.3, which was introduced by Altera corporation in 4 months of 2005, is used for FFT and IFFT operations. The IP core is a high performance, highly parameterized FFT processor that performs a forward complex FFT and a reverse complex IFFT.
In a specific embodiment, the matching module for azimuth compression is transformed to the frequency domain by the FFT. When the FPGA is implemented, the analog parameters are quantized into discrete digital parameters for processing. Where γ m (RB), RB is digitally quantized with reference to the radar distance Rs to the center line of the scene, i.e. RB = Rs + n deltaR per range bin, then RB is constant for each range bin. The slow time tm is digitally quantized with a pulse repetition time 1/PRF, which is constant for each azimuth cell. The CORDIC module is mainly used for calculating trigonometric functions, hyperbola, exponents and logarithms, and the CORDIC module is realized by adopting an 18-stage pipeline structure.
In a specific embodiment, the matching multiplication module mainly completes the work of correspondingly multiplying the result of FFT processing of the distance pulse compressed data by the matching module and then sending out the multiplied result. The core of the matched multiplication module is a complex multiplier.
In a particular embodiment, the evaluation module comprises a measurement module, a coupler and a calculation module, wherein the calculation module is connected to the measurement module and the coupler, respectively.
In a specific embodiment, the measurement module inputs a measurement signal into the end data information control command and outputs the end data information control command, so as to calculate different data information control commands of the front-end device.
By adopting the coupler, the measurement data information control command can be smoothly operated in the microwave system, and in a specific embodiment, one path of microwave power is divided into a plurality of paths in proportion, which is a power distribution problem. The element for realizing the function is called a power distribution component, namely a coupler, and mainly comprises the following components: directional couplers, power splitters, and various microwave branching devices. Different data information control command communication calculation and interaction can be realized through power distribution.
In a particular embodiment, a photoelectric coupler may be employed. In a further embodiment, the photocoupler is an electric-to-optical-to-electric conversion device that transmits an electric signal through the medium of light. It is composed of two parts of luminous source and light receiver. The light source and the light receiver are assembled in the same sealed shell and are separated by a transparent insulator. The pin of the light source is an input end, the pin of the light receiver is an output end, the common light source is a light emitting diode, and the light receiver is a photosensitive diode, a phototriode and the like. The types of the photoelectric couplers are various, and a photodiode type, a photo triode type, a photoresistor type, a photothyristor type, a photoelectric darlington type, an integrated circuit type, and the like are common.
In a specific embodiment, the association of different front-end equipment data information control command nodes is realized through a FolkRank algorithm model.
The matching recommendation is given to the construction system by using a tag recommendation (FolkRank) matching algorithm, so that the front-end equipment has higher pertinence, the evaluation index of a user is improved, and the method has an important effect on the application of the whole construction mode.
The core part of the comprehensive front-end equipment system is a service layer, different services are developed to meet user requirements, a comprehensive front-end equipment network is firstly established in the process and serves as a central control room for developing the whole service, and one-to-one control is carried out on bridge construction and remote monitoring. The construction network and a user form interaction by establishing a master-slave block chain model, and the matching of construction modes is carried out by a FolkRang algorithm, so that the aim of bridge positioning construction is fulfilled. The service mode established by the block chain model is a bridge construction data information control command service, an equipment maintenance service, an energy efficiency detection service, an energy-saving design service, a data transaction service, a distributed construction service and other services, can be matched according to different requirements of users, is common among the services, has a superposition effect, and improves the evaluation coefficient of the users to the greatest extent.
The FolkRank tag recommendation algorithm can effectively utilize the relationship among users, articles and tags, so that the FolkRank can achieve better tag recommendation performance. In a specific embodiment, the weighting degrees of different network data information control command nodes in the interaction process of each bridge construction device can be calculated, the weighting degrees are used as indexes for evaluating the importance of the bridge data information control command, and the control of the target bridge construction device is guided according to the importance of the bridge data information control command interaction nodes.
In an embodiment, the master-slave block chain structure model is compatible with the block chain nodes and the CAN bus data nodes.
In an embodiment, for example, the master-slave blockchain structure model implements blockchain data information control command interaction through blockchain link points, and implements different data information control command interaction through the CAN bus data nodes. And the communication interface combined by the CAN controller and the CAN transceiver realizes the communication between the unit controller and the intelligent controller node. The controller uses model SJA 1000; the CAN transceiver uses a PCA82C250 model and CAN quickly receive and send signals; the microprocessor adopts an AT89C52 singlechip. The photoelectric isolation circuit is utilized in the module, and the interference of a bus is effectively prevented from being introduced into a system.
The unit controller module utilizes two CPU architectures, the first-level CPU contains two CAN interfaces, is connected with the communication system and is respectively connected with the first-level bus and the second-level bus, the transmission rates on the two buses CAN be different, and in practical application, a proper transmission rate is selected according to the distribution distance of nodes in the buses to carry out CPU display driving and a man-machine interface.
In a specific embodiment, communication diagnosis of different endpoint data information control command communication is realized through a communication judgment function.
In a specific embodiment, the communication judgment function realizes the judgment of the data information control command through the WBS judgment model, and the working method is as follows:
step one, an iteration function expression is set, wherein the iteration function expression is shown as a formula (1):
in the formula (1), P 0 Representing a set front-end equipment communication state judgment model verification problem function, x representing a model result variable with possible error in the front-end equipment communication state, R n The total number of model result variables representing possible errors in the communication state of the front-end equipment is A, B and B, wherein A represents a simulation display result of a distributed model of the communication state of the front-end equipment, and B represents the minimum deviation degree of a judgment result of a communication state model of the front-end equipment;
then, the distribution threshold value is converted into an equation with a general function law through a distribution threshold value equation, and the expression is shown as an equation (2):
(S λ,1 (x)) i ＝sgn(x i )s λ (|x i |)＝sgn(x i )max{|x i |-λ,0} (2)
in the formula (2), S λ,1 (x) Distributed threshold equation, sgn (x), representing the communication state of the front-end device i ) Representing the communication state symbolic function of the front-end equipment, and determining the parameter change rule of the independent variable, s λ The type of the automatic control information of the communication state of the distributed front-end equipment is represented, and lambda represents a coordinate point set by a judgment result;
substituting the distributed threshold equation into equation (1) to calculate the maximum difference expression is shown in equation (3):
in the formula (3), R λ,1 (x) The maximum difference value of the set coordinates of the simulation result of the communication state judgment model of the front-end equipment is represented, lambda represents a coordinate point set by the judgment result, and alpha represents the coefficient difference between the optimal solution of the communication state of the front-end equipment and the data function;
the maximum difference value of the communication state data of the front-end equipment is determined by a WBS judgment model display result, and the maximum difference value is calculated according to the input judgment model simulation data:
in the formula (4), x represents a model result variable with possible errors in the communication state of the front-end equipment, w represents a stability coefficient of a total communication data information control command recorded by a front-end equipment communication state judgment model, lambda represents a coordinate point set by the judgment result, and G λ,α (w) represents a constant of change in the model of the front-end device communication state;
and (2) finally obtaining the optimal solution expression of the formula (1) by using the maximum difference value of the coordinate points of the formula (3) as shown in a formula (5):
x n+1 ＝R λ,α (x n +μ(A T b-A T Ax n )) (5)
in the formula (5), R λ,α Represents the maximum difference of the solved judgment data, mu represents the deviation coefficient of the simulation result compared with the standard data, A T Representing the change of the simulation result of the model in the delay time, b representing the minimum deviation of the judgment result of the model, A representing the simulation display of the distributed model, and x n Denotes the judgment result of the initial verification, x n+1 Shows the result of the (n + 1) th verification data display.
The verification process in the IFTA algorithm mainly comprises the steps of setting a form of a problem function, solving the function, obtaining an optimal solution, and verifying the success of data verification if the optimal solution is a positive number, wherein the accuracy of a model judgment result can be seen; if the number is negative, the model judgment result is incorrect. Therefore, the processing process of the automatic control information is completed, the judgment result is verified, and the accuracy of the information processing result is improved.
Besides the improvement of the processing accuracy of the overall data information control command, the algorithm also improves the improvement of the communication efficiency by adding a multi-point operation mode, and the multi-point operation processing result is switched from the communication stability to the formula (6):
in the formula (6), w i Representing a multi-point operational variable, R ki Representing multipoint controlThe resistance of the transmission line is set,
indicates the stable equilibrium point, y, of the multi-point operation guess l A multipoint value representing a communication node.
In order to grasp the rule of the multi-dimensional delay problem, a delay data curve is drawn by using a derivation mode, and the derivation of the multi-dimensional delay function is expressed as shown in a formula (7):
in the formula (7), p l (t) denotes a multidimensional delay influencing factor, k l Representing the derivative coefficients of the multidimensional time-delay joint processing function.
The communication state in practice is judged through a processing program for communication delay in the algorithm, the stability of the electric automation data communication system is judged by collecting a plurality of different communication delay data, and the judgment basis is as shown in a formula (8):
in the formula (8), m li Denotes a delay determination coefficient, g l Representing a single-dimensional influence of the communication delay, g i Indicating the influence factor of communication stability judgment.
By the aid of the algorithm formula, the communication stability of different network nodes can be judged in the calculation process of the front-end equipment, according to the stability judgment function, if the judgment condition is met during data communication, the communication capacity does not need to be enhanced, if the judgment condition is not met, the communication delay is reduced by calculation through the algorithm, the overall communication speed is improved, and the running condition of the front-end equipment control is monitored conveniently and timely through data change.
The system utilizes a PLC central processing unit and a remote control module in the aspect of remote control. The remote control module feeds back the state signal to a computer monitoring end or a mobile phone monitoring end connected with the internet by utilizing wireless remote communication modes such as the internet and the like through collecting the running state of the front-end equipment controlled by the intelligent bridge construction equipment, so that the statistics of the remote running signal of the front-end equipment controlled by the intelligent bridge construction equipment is realized, a response is sent to a corresponding alarm function, the system responds to the action, and the intelligent control of 'unattended' is realized.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (4)
1. A control method for front-end equipment controlled by bridge construction equipment is characterized by comprising the following steps: the method comprises the following steps:
inputting a data information control command of front-end equipment of control bridge construction equipment, transmitting information of different data information control commands by the input data information control command through a master-slave block chain structure model, connecting different front-end equipment in a block chain data information control command network, and realizing information interaction in the block chain network of the front-end equipment data information control command;
step two, realizing communication of data information control commands of different front-end equipment communication interaction nodes and communication fault diagnosis and judgment through a communication judgment function;
the communication judgment function realizes the judgment of the data information control command through the WBS judgment model, and the working method is as follows:
step one, an iteration function expression is set, wherein the iteration function expression is shown as a formula (1):
in the formula (1), the acid-base catalyst,
a front-end equipment communication state judgment model verification problem function representing the setting,
model result variables representing possible errors in the communication state of the head-end equipment,
the total number of model result variables representing possible errors in the communication state of the head-end equipment,
the distributed model representing the communication state of the front-end equipment simulates and displays the result,
representing the minimum deviation degree of the judgment result of the communication state model of the front-end equipment;
then, the distribution threshold value is converted into an equation with a general function law through a distribution threshold value equation, and the expression is shown as an equation (2):
in the formula (2), the reaction mixture is,
representing a front-end device communication state distributed threshold equation,
representing the symbolic function of the communication state of the front-end equipment, establishing the parameter change rule of the independent variable,
representing automated control information of communication state of distributed front-end devicesThe type of the substance to be administered,
indicating a coordinate point set according to the result after the behavior is judged;
substituting the distributed threshold equation into equation (1) to calculate the maximum difference expression is shown in equation (3):
in the formula (3), the reaction mixture is,
the maximum difference value of the set coordinates of the simulation result of the communication state judgment model of the front-end equipment is shown,
representing the coefficient difference between the optimal solution of the communication state of the front-end equipment and the data function;
the maximum difference value of the communication state data of the front-end equipment is determined by a WBS judgment model display result, and the maximum difference value is calculated according to the input judgment model simulation data:
in the formula (4), the reaction mixture is,
model result variables representing possible errors in the communication state of the head-end equipment,
representing a stability coefficient of a total communication data information control command input by a front-end equipment communication state judgment model;
a constant representing the change of the communication state of the front-end equipment in the model; finally obtaining the formula (1) by using the maximum difference value of the coordinate points in the formula (3)The optimal solution expression of (a) is shown in formula (5):
in the formula (5), the reaction mixture is,
represents the maximum difference of the solved judgment data,
the deviation coefficient of the simulation result compared with the standard data is shown,
representing the variation of the simulation result of the model in the delay time,
the minimum deviation degree of the judgment result of the model is shown,
a model simulation display that represents a distribution of functions,
a judgment result indicating the initial verification is shown,
is shown as
The secondary verification data shows the results.
2. The method for controlling the front-end equipment controlled by the bridge construction equipment according to claim 1, wherein the method comprises the following steps: the master-slave block chain structure model comprises an information input module, an information collection module, a matching module and an evaluation module, wherein the output end of the information input module is connected with the input end of the information collection module, the output end of the information collection module is connected with the input end of the matching module, and the output end of the matching module is connected with the input end of the evaluation module;
the information input module is used for receiving a data information control command of front-end equipment;
the information collection module is used for collecting data information control commands with different attributes, different communication protocols or different types in the data information control commands of the front-end equipment into data nodes in the same block chain network;
the matching module is used for matching received different attributes and different communication protocols or matching received different types of data information control commands and collecting the data information control commands under the same block chain network;
the evaluation module is used for evaluating the received data information control commands with different attributes and different communication protocols or evaluating different types of data information control commands and collecting the data information control commands under the same block chain network.
3. The method for controlling the front-end equipment controlled by the bridge construction equipment according to claim 2, characterized by comprising the following steps: the matching module quantizes the analog parameters into discrete digital parameters through the FPGA control module for processing, matches the data information control command through the matching module, and converts the data information control command from time domain information into a frequency domain data information control command through FFT conversion.
4. The method for controlling the front-end equipment controlled by the bridge construction equipment according to claim 1, wherein the method comprises the following steps: the master-slave block chain structure model is compatible with the block chain nodes and the CAN bus data nodes.
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