CN116414420A - Automatic upgrading method of poultry breeding control system - Google Patents

Automatic upgrading method of poultry breeding control system Download PDF

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CN116414420A
CN116414420A CN202310682644.2A CN202310682644A CN116414420A CN 116414420 A CN116414420 A CN 116414420A CN 202310682644 A CN202310682644 A CN 202310682644A CN 116414420 A CN116414420 A CN 116414420A
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王兴涛
许敏敏
孙慧慧
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Shandong Huabang Agriculture And Animal Husbandry Machinery Co ltd
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Abstract

The invention relates to the field of electric digital data processing, in particular to an automatic upgrading method of a poultry farming control system, which comprises the following steps: acquiring real-time monitoring data of a system, and performing first comparison; determining whether the system needs to be automatically upgraded or not based on a first comparison result, if so, stopping the operation of the control system, and starting the auxiliary control system to temporarily operate; automatically upgrading the system after stopping running according to a preset upgrading strategy, acquiring a corresponding first expected target state based on the automatically upgraded system, and performing second comparison with the preset expected state; and carrying out information prompt based on the second comparison result, restarting the upgraded system, monitoring, and if the monitoring result reaches the standard, completing the system upgrading. Monitoring data can be timely obtained through monitoring the poultry breeding control system, and the system to be automatically upgraded is automatically upgraded according to the accurate upgrading strategy, so that the system is timely and accurate to upgrade.

Description

Automatic upgrading method of poultry breeding control system
Technical Field
The invention relates to the field of electric digital data processing, in particular to an automatic upgrading method of a poultry farming control system.
Background
At present, with the rapid development of science and technology and internet technology, the use of internet technology to generate corresponding systems and be used for improving and optimizing industrial and agricultural production is becoming more and more common, therefore, wireless intelligent livestock breeding temperature and humidity monitoring systems suitable for monitoring various livestock breeding environments are provided, the environment temperature and humidity of the breeding area effectively meet the requirements of production, scientific research and life, the intelligent livestock breeding monitoring systems based on the internet of things utilize the internet of things to surround the production and management links of a facility livestock farm, and the environment information (carbon dioxide, ammonia, hydrogen sulfide, air temperature and humidity and the like) of the farm is acquired on line through intelligent sensors, and meanwhile, the existing livestock farm environment control equipment is integrated and reformed, so that the intelligent production and scientific management of livestock breeding are realized. Farmers can grasp environment information of a farm in real time through information terminals such as mobile phones, PDAs, computers and the like, acquire abnormal alarm information in time, remotely control corresponding equipment according to monitoring results, and achieve the purposes of healthy cultivation, energy conservation and consumption reduction.
However, the existing system generally selects whether to upgrade the system manually, and in the process, the upgrade is not timely due to the fact that people forget the system, or the upgrade is not timely due to the fact that some options in the upgrade are selected erroneously in the manual operation process, so that errors occur in the upgrade process, and a certain loss is caused.
Therefore, the invention provides an automatic upgrading method of the poultry farming control system.
Disclosure of Invention
The invention provides an automatic upgrading method of a poultry farming control system, which solves at least one technical problem in the background technology, and is used for timely acquiring system monitoring data by monitoring the poultry farming control system, comparing the monitoring data and automatically upgrading a system to be automatically upgraded according to an accurate upgrading strategy, so that the poultry farming control system is upgraded more timely and accurately, and loss is avoided.
The invention provides an automatic upgrading method of a poultry farming control system, which comprises the following steps:
step 1: acquiring real-time monitoring data of the poultry farming control system, and performing first comparison on the real-time monitoring data and a preset minimum data table;
Step 2: determining whether the poultry farming control system needs to be automatically upgraded or not based on a first comparison result, if so, controlling the poultry farming control system to stop running, and simultaneously starting an auxiliary control system to temporarily run;
step 3: automatically upgrading the poultry farming control system after stopping running according to a preset upgrading strategy, acquiring a corresponding first expected target state based on the poultry farming control system after automatic upgrading, and performing second comparison on the first expected target state and the preset expected state;
step 4: and carrying out information prompt based on the second comparison result, controlling the restarting of the system with the updated system, and monitoring again, and if the monitoring result meets the standard, judging that the system is updated, so as to realize the automatic updating of the target poultry farming control system.
In one possible implementation manner, acquiring real-time monitoring data of the poultry farming control system, and performing a first comparison between the real-time monitoring data and a preset minimum data table, including:
step 11: acquiring real-time monitoring data of a poultry breeding control system in a target research area;
step 12: filling the real-time monitoring data into the corresponding position of the first data table, comparing the real-time monitoring data with the data in the corresponding preset lowest data table one by one based on the first data table, and determining the first number of the first data of the corresponding data of the lowest data table or more in the first data table;
Step 13: acquiring first data differences of each first data, and taking all the first data differences as a first reference of a first comparison result;
step 14: extracting second data of which the real-time monitoring data are smaller than the lowest data table and second number of the second data in the first data table, acquiring second data differences of each second data, and taking all the second data differences as second references of first comparison results;
step 15: acquiring a first set weight greater than or equal to the lowest data table from the weight setting table
Figure SMS_1
And is given to the first reference while acquiring a second set weight smaller than the lowest data table
Figure SMS_2
And is assigned to the second reference;
step 16: acquiring a first parameter weight corresponding to the data type of each first data and a second parameter weight corresponding to the data type of each second data from the weight setting table;
step 17: based on the first set weight
Figure SMS_3
Second set weight
Figure SMS_4
Calculating the corresponding values of a first data table corresponding to the real-time monitoring data and a preset lowest data table according to the first parameter weight and the second parameter weight
Figure SMS_5
Figure SMS_6
Wherein n01 represents a first data number; n02 represents A second number; n03 represents a third number of remaining data in the lowest data table;
Figure SMS_7
a first parameter weight representing the j1 st first data;
Figure SMS_8
a second parameter weight representing a j2 th second data;
Figure SMS_9
a first data difference representing a j2 th first data;
Figure SMS_10
a second data difference representing a j2 th second data;
step 18: taking the corresponding value D1 as a first comparison result;
wherein the reference weight of the first reference is greater than the reference weight of the second reference.
In one possible implementation manner, determining whether the poultry farming control system needs to be automatically upgraded based on the first comparison result, if so, controlling the poultry farming control system to stop operating, and simultaneously, starting the auxiliary control system to temporarily operate, including:
step 21: determining whether the target poultry farming control system needs to be automatically upgraded based on the first comparison result;
if the corresponding value of the first comparison result is smaller than a first preset value, judging that the target poultry farming control system does not need to be automatically updated;
otherwise, judging that the target poultry farming control system needs to be automatically upgraded;
step 22: acquiring a corresponding system number based on a poultry breeding control system which needs to be automatically upgraded, transmitting the corresponding system number to an intelligent terminal, and acquiring a corresponding position of the system and a corresponding number of an auxiliary control system at the corresponding position based on a database of the intelligent terminal;
Step 23: starting an auxiliary system to temporarily run based on the corresponding number of the auxiliary control system, and acquiring corresponding real-time monitoring data;
if the real-time monitoring data reach the preset standard, judging that the auxiliary control system is qualified in operation, and stopping the operation of the target poultry farming control system corresponding to the control system number;
otherwise, the target poultry farming control system needs to continue working, if the working time of the target poultry farming control system needing to continue working exceeds the preset time, the current auxiliary control system is judged to be unqualified, and early warning is carried out.
In one possible implementation manner, performing system automation upgrade on the poultry farming control system after stopping operation according to a preset upgrade policy, including:
step 31: acquiring a system number and a real-time system parameter of a target poultry breeding control system which stops running, comparing the system number with a number in a system database, and determining a system standard parameter of the target poultry breeding control system;
step 32: comparing the real-time system parameters with the system standard parameters to determine a difference value set T between the real-time system parameters and the standard parameters;
Figure SMS_11
wherein,,
Figure SMS_12
The parameter value of the ith real-time system parameter;
Figure SMS_16
parameter values that are the i-th standard parameter;
Figure SMS_18
the possible deviation value of the ith real-time system parameter in the acquisition process is obtained;
Figure SMS_13
acquiring preset weights with deviation aiming at parameters;
Figure SMS_15
for transmission of parametersThe process has a preset weight of error, and
Figure SMS_19
+
Figure SMS_20
=1;
Figure SMS_14
a possible error value of a parameter transmission process for the ith real-time system parameter;
Figure SMS_17
a standard error value representing a parameter transmission procedure of an ith standard parameter;
step 33: filling each parameter difference and the corresponding parameter type in the difference set into a parameter-strategy table respectively, and determining an initial upgrading strategy corresponding to the current real-time system parameter based on a corresponding strategy result;
step 34: obtaining an initial comprehensive upgrading strategy based on all the initial upgrading strategies, performing strategy checking based on the initial comprehensive upgrading strategy, and eliminating repeated strategies and conflict strategies to obtain a comprehensive upgrading strategy;
step 35: and transmitting the comprehensive upgrading strategy to an intelligent terminal, and controlling a target poultry farming control system to automatically upgrade the system based on the intelligent terminal.
In one possible implementation manner, obtaining an initial comprehensive upgrade policy based on all initial upgrade policies, and performing policy investigation based on the initial comprehensive upgrade policy, eliminating a repetition policy and a conflict policy, and obtaining a comprehensive upgrade policy, including:
Step 341: comparing all strategies in the initial comprehensive upgrading strategy one by one, determining whether a repeated strategy exists or not based on a comparison result, and eliminating the repeated strategy to obtain a first initial comprehensive upgrading strategy;
step 342: based on all strategies in the first initial comprehensive upgrading strategy, obtaining corresponding strategy types, and extracting conflict data types with data conflict of each type of data in the first initial comprehensive upgrading strategy based on a type conflict data table;
comparing the conflict data type corresponding to each type with the strategy types of the rest strategies in the rest first initial comprehensive upgrading strategies;
based on the comparison result, eliminating the conflict strategy, thereby obtaining a second initial comprehensive upgrade strategy;
the second initial comprehensive upgrade strategy is the comprehensive upgrade strategy.
In one possible implementation, obtaining a corresponding first expected target state based on the automated upgraded poultry farming control system and performing a second comparison of the first expected target state with a preset expected state includes:
step 01: performing system test on the poultry farming control system after automatic upgrading, and obtaining a first expected target state corresponding to the target poultry farming control system based on a system test result;
Step 02: comparing all state data in the first expected target state with state data of a preset expected state one by one, and determining a state value of the state data of the first expected target state;
the state value is the second comparison result.
In one possible implementation, the information prompting is performed based on the second comparison result, and the control restarts the upgraded system and monitors again, including:
step 41: performing first judgment on the second comparison result;
if the state value corresponding to the second comparison result is higher than the preset state value, judging that the current system automatic upgrading result is qualified, otherwise, judging that the current system automatic upgrading result is unqualified;
step 42: based on the first judgment result, transmitting the first judgment result to the intelligent terminal to prompt corresponding information;
wherein, the poultry farming control system with unqualified automatic upgrading results needs to determine the unqualified type and the unqualified state;
step 43: restarting the system based on the target poultry farming control system with qualified automatic upgrading result, and closing the auxiliary control system after the poultry farming control system reaches a standard running state;
step 44: and after the auxiliary control system is closed, performing system monitoring after a preset period of time for the target poultry farming control system to work.
In one possible implementation manner, if the monitoring result meets the standard, determining that the system upgrade is completed, and implementing the automatic upgrade of the target poultry farming control system, including:
step 51: performing monitoring comprehensive test based on all monitoring results of the system, and judging whether the monitoring results reach the standard or not;
if the monitoring result reaches the standard, judging that the poultry farming control system is upgraded, otherwise, judging that the poultry farming control system is failed to be upgraded;
step 52: acquiring a new system number of the poultry farming control system which is successfully upgraded, transmitting the new system number to an intelligent terminal, and determining that the poultry farming control system corresponding to the new system number is automatically upgraded.
Compared with the prior art, the beneficial effects of the application are as follows:
through monitoring poultry breeding control system, can in time acquire system monitoring data to compare monitoring data, carry out automatic upgrading according to accurate upgrading strategy to the system that needs to carry out automatic upgrading, make more in time, accurate to the upgrading of poultry breeding control system, avoid causing the loss.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of an automated upgrade method for a poultry farming control system according to an embodiment of the present invention;
FIG. 2 is a flowchart of an automatic upgrade of a poultry farming control system according to a preset upgrade strategy in an automatic upgrade method of the poultry farming control system according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for automatically upgrading a poultry farming control system according to an embodiment of the present invention for restarting and monitoring the system after the upgrade is completed.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
the embodiment of the invention provides an automatic upgrading method of a poultry farming control system, which is shown in fig. 1 and comprises the following steps:
step 1: acquiring real-time monitoring data of the poultry farming control system, and performing first comparison on the real-time monitoring data and a preset minimum data table;
Step 2: determining whether the poultry farming control system needs to be automatically upgraded or not based on a first comparison result, if so, controlling the poultry farming control system to stop running, and simultaneously starting an auxiliary control system to temporarily run;
step 3: automatically upgrading the poultry farming control system after stopping running according to a preset upgrading strategy, acquiring a corresponding first expected target state based on the poultry farming control system after automatic upgrading, and performing second comparison on the first expected target state and the preset expected state;
step 4: and carrying out information prompt based on the second comparison result, controlling the restarting of the system with the updated system, and monitoring again, and if the monitoring result meets the standard, judging that the system is updated, so as to realize the automatic updating of the target poultry farming control system.
In this embodiment, the real-time monitoring data refers to monitoring data based on the poultry farming control system monitored by the monitoring system, for example, the real-time monitoring system includes: CPU utilization rate, memory utilization rate, storage utilization rate, disk I/O, network traffic and the like of the poultry farming control system.
In this embodiment, the preset minimum data table is a data table constructed based on the minimum value of all the monitoring data corresponding to the system type of the target poultry farming control system, where the CPU utilization rate, the memory utilization rate, the storage utilization rate and the like in the preset minimum data table are the maximum data values, for example, the network flow of the poultry farming control system is 1.2KB, the corresponding network flow in the preset minimum data table is 1KB, the memory utilization rate of the poultry farming control system is 50%, the corresponding memory utilization rate in the preset minimum data table is 65%, and after exceeding the maximum value of the memory utilization rate, the system may react slowly to cause untimely and inaccurate control.
In this embodiment, the first comparison refers to a comparison result obtained by comparing the real-time monitoring data with the corresponding data in the best lowest data table one by one.
In this embodiment, the automatic upgrading means that the poultry farming control system is automatically upgraded by determining a corresponding upgrading strategy based on the first comparison result.
In this embodiment, the auxiliary control system is an auxiliary system additionally arranged in the control range of the target poultry farming control system, and is used for timely controlling the target poultry farming control area when the target poultry farming control system needs to be automatically updated or a system fault occurs, so as to avoid loss.
In this embodiment, the preset upgrade policy refers to an upgrade policy corresponding to different differences determined based on the difference between the real-time system parameter and the standard system parameter of the poultry farming control system, and the adjusted upgrade policy is obtained.
In this embodiment, the first desired target state refers to corresponding state data obtained by the target poultry farming control system after an automated upgrade is performed.
In this embodiment, the preset expected state refers to expected state data of the target poultry farming control system after system upgrade.
In this embodiment, the second comparison refers to comparing the state data based on the first desired target state with the state data of the preset desired state.
In this embodiment, the monitoring result reaches the standard means that after automatic upgrading is performed, the target poultry breeding control system is started, and after a preset time, the target poultry breeding control system is monitored, if the monitoring result reaches the standard, the automatic upgrading of the target poultry breeding control system is completed, and if the monitoring result does not reach the standard, the automatic upgrading of the target poultry breeding control system is problematic, and the automatic upgrading is not successfully realized.
The beneficial effects of the technical scheme are as follows: by monitoring the poultry farming control system, the system monitoring data can be timely acquired, the monitoring data are compared, and the system to be automatically upgraded is automatically upgraded according to the accurate upgrading strategy, so that the poultry farming control system is more timely and accurate to upgrade.
Example 2:
based on the embodiment 1, acquiring real-time monitoring data of the poultry farming control system, and performing a first comparison between the real-time monitoring data and a preset minimum data table, including:
step 11: acquiring real-time monitoring data of a poultry breeding control system in a target research area;
Step 12: filling the real-time monitoring data into the corresponding position of the first data table, comparing the real-time monitoring data with the data in the corresponding preset lowest data table one by one based on the first data table, and determining the first number of the first data of the corresponding data of the lowest data table or more in the first data table;
step 13: acquiring first data differences of each first data, and taking all the first data differences as a first reference of a first comparison result;
step 14: extracting second data of which the real-time monitoring data are smaller than the lowest data table and second number of the second data in the first data table, acquiring second data differences of each second data, and taking all the second data differences as second references of first comparison results;
step 15: acquiring a first set weight greater than or equal to the lowest data table from the weight setting table
Figure SMS_21
And is given to the first reference while acquiring a second set weight smaller than the lowest data table
Figure SMS_22
And is assigned to the second reference;
step 16: acquiring a first parameter weight corresponding to the data type of each first data and a second parameter weight corresponding to the data type of each second data from the weight setting table;
Step 17: based on the first set weight
Figure SMS_23
Second set weight
Figure SMS_24
Calculating the corresponding values of a first data table corresponding to the real-time monitoring data and a preset lowest data table according to the first parameter weight and the second parameter weight
Figure SMS_25
Figure SMS_26
Wherein n01 represents a first data number; n02 represents a second number; n03 represents a third number of remaining data in the lowest data table;
Figure SMS_27
a first parameter weight representing the j1 st first data;
Figure SMS_28
a second parameter weight representing a j2 th second data;
Figure SMS_29
a first data difference representing a j2 th first data;
Figure SMS_30
a second data difference representing a j2 th second data;
step 18: taking the corresponding value D1 as a first comparison result;
wherein the reference weight of the first reference is greater than the reference weight of the second reference.
In this embodiment, the real-time monitoring data refers to monitoring data of the poultry farming control system monitored by the monitoring system, for example, the real-time monitoring data includes: CPU utilization rate, memory utilization rate, storage utilization rate, disk I/O, network traffic and the like of the poultry farming control system.
In this embodiment, the first data table refers to filling the real-time monitoring data into the corresponding position of the first data table according to the data type, so as to obtain a complete first data table.
In this embodiment, the preset minimum data table is a data table constructed based on the minimum value of all the monitoring data corresponding to the system type of the target poultry farming control system, where the CPU utilization rate, the memory utilization rate, the storage utilization rate and the like in the preset minimum data table are the maximum data values, for example, the network flow of the poultry farming control system is 1.2KB, the corresponding network flow in the preset minimum data table is 1KB, the memory utilization rate of the poultry farming control system is 50%, the corresponding memory utilization rate in the preset minimum data table is 65%, and after exceeding the maximum value of the memory utilization rate, the system may react slowly to cause untimely and inaccurate control.
In this embodiment, the first data refers to data in the first data table, where the real-time monitoring data is greater than or equal to the corresponding data in the lowest data table, for example, the real-time monitoring data in the first data table is that the CPU utilization rate of the poultry farming control system is 50%, the memory utilization rate is 62%, the storage utilization rate is 84%, the network traffic is 1.5KB, the CPU utilization rate in the lowest data table is 65%, the memory utilization rate is 65%, the storage utilization rate is 65%, and the network traffic is 1KB, and because the CPU utilization rate, the memory utilization rate, and the storage utilization rate in the lowest data table are preset to be the maximum data values, the first data is 84% of the storage utilization rate.
In this embodiment, the first data difference is obtained by extracting data corresponding to data with real-time monitoring data greater than or equal to the lowest data table in the first data table, and performing one-by-one correspondence on the extracted real-time monitoring data and the corresponding lowest data, and obtaining a difference between the two data based on a corresponding result, that is, the corresponding first data difference.
In this embodiment, the first reference refers to taking the integrated result of all the first data differences as the first reference value of the first comparison result, for example, the real-time monitoring data in the first data table is that the CPU utilization rate of the poultry farming control system is 50%, the memory utilization rate is 62%, the storage utilization rate is 84%, the network flow is 1.5KB, the CPU utilization rate in the lowest data table is 65%, the memory utilization rate is 65%, the storage utilization rate is 65%, the network flow is 1KB, the CPU utilization rate, the memory utilization rate and the storage utilization rate in the preset lowest data table are the maximum data values, the absolute value of the sub-reference data of the first reference is 15%,3%,19%, and 0.5KB, and the integrated result of the first reference is 0.6225.
In this embodiment, the second data refers to the data in the first data table, where the real-time monitoring data is smaller than the corresponding data of the lowest data table.
In this embodiment, the second data difference is obtained by extracting data of the first data table, where the real-time monitoring data is smaller than the corresponding data of the lowest data table, and one-by-one corresponding the extracted real-time monitoring data to the corresponding lowest data, and obtaining a difference between the two data based on the corresponding result, that is, the corresponding second data difference.
In this embodiment, the second reference refers to a second reference value having the result of the integration of all the second data differences as the first comparison result.
In this embodiment, the weight setting table refers to a table that is set in advance to determine the influence weight of each reference factor on the final comparison result, and is predetermined by an expert.
In this embodiment, the first set weight refers to a total influence weight of the corresponding data of the lowest data table on the first comparison result, and the second set weight refers to a total influence weight of the corresponding data of the lowest data table on the first comparison result.
In this embodiment, the first parameter weight refers to an influence weight of each real-time monitoring data on the first reference when the real-time monitoring data is greater than or equal to the corresponding data of the lowest data table, and the second parameter weight refers to an influence weight of each real-time monitoring data on the second reference when the real-time monitoring data is smaller than the corresponding data of the lowest data table.
In this embodiment, the corresponding value is a comparison value of the real-time monitoring data under the combined action of the parameter weight and the reference weight, and the corresponding value is the first comparison result.
In this embodiment, the reference weight of the first reference is greater than the reference weight of the second reference.
The beneficial effects of the technical scheme are as follows: by monitoring the poultry farming control system, system monitoring data can be timely obtained, and the monitoring data is compared with a preset minimum data table, so that the system to be automatically upgraded is automatically upgraded according to a precise upgrading strategy, and the poultry farming control system is timely and accurate to upgrade.
Example 3:
based on embodiment 2, based on the first comparison result, determining whether the poultry farming control system needs to be automatically upgraded, if so, controlling the poultry farming control system to stop operating, and simultaneously, starting the auxiliary control system to temporarily operate, including:
step 21: determining whether the target poultry farming control system needs to be automatically upgraded based on the first comparison result;
if the corresponding value of the first comparison result is smaller than a first preset value, judging that the target poultry farming control system does not need to be automatically updated;
otherwise, judging that the target poultry farming control system needs to be automatically upgraded;
step 22: acquiring a corresponding system number based on a poultry breeding control system which needs to be automatically upgraded, transmitting the corresponding system number to an intelligent terminal, and acquiring a corresponding position of the system and a corresponding number of an auxiliary control system at the corresponding position based on a database of the intelligent terminal;
Step 23: starting an auxiliary system to temporarily run based on the corresponding number of the auxiliary control system, and acquiring corresponding real-time monitoring data;
if the real-time monitoring data reach the preset standard, judging that the auxiliary control system is qualified in operation, and stopping the operation of the target poultry farming control system corresponding to the control system number;
otherwise, the target poultry farming control system needs to continue working, if the working time of the target poultry farming control system needing to continue working exceeds the preset time, the current auxiliary control system is judged to be unqualified, and early warning is carried out.
In this embodiment, the first comparison result refers to a comparison result obtained by comparing the real-time monitoring data with the corresponding data in the better lowest data table one by one.
In this embodiment, the first preset value refers to a minimum standard value of the target poultry farming control system that is determined based on a real-time monitoring data result of the target poultry farming control system and needs to be automatically updated.
In this embodiment, the system number refers to a system number corresponding to the target poultry farming control system, where the system number may represent a system azimuth, a system control area, and the like of the target poultry farming control system.
In this embodiment, the system corresponding position refers to the position and the area size of the control area corresponding to the target poultry farming control system.
In this embodiment, the auxiliary control system is an auxiliary system additionally arranged in the control range of the target poultry farming control system, and is used for timely controlling the target poultry farming control area when the target poultry farming control system needs to be automatically updated or a system fault occurs, so as to avoid loss.
In this embodiment, the real-time monitoring data refers to monitoring data based on the poultry farming control system monitored by the monitoring system, for example, the real-time monitoring system includes: CPU utilization rate, memory utilization rate, storage utilization rate, disk I/O, network traffic and the like of the poultry farming control system.
In this embodiment, the preset standard refers to monitoring standard data of each data type corresponding to the real-time monitoring data in the current working environment.
In this embodiment, the continuous operation time refers to the time required for the target poultry farming control system to operate after the auxiliary control system starts to operate.
In this embodiment, the early warning means that when the continuous working time of the target poultry farming control system exceeds the preset time, the current auxiliary system is not qualified in operation, and the early warning is performed on the condition that the current auxiliary system is not qualified in operation.
The beneficial effects of the technical scheme are as follows: the poultry farming control system is monitored, and whether automatic upgrading is needed or not is determined based on the monitoring data, so that the system which needs to be automatically upgraded is automatically upgraded according to the accurate upgrading strategy, and the poultry farming control system is upgraded more timely and accurately.
Example 4:
based on the embodiment 3, the poultry farming control system after stopping operation is automatically upgraded according to a preset upgrade strategy, as shown in fig. 2, including:
step 31: acquiring a system number and a real-time system parameter of a target poultry breeding control system which stops running, comparing the system number with a number in a system database, and determining a system standard parameter of the target poultry breeding control system;
step 32: comparing the real-time system parameters with the system standard parameters to determine a difference value set T between the real-time system parameters and the standard parameters;
Figure SMS_31
wherein,,
Figure SMS_32
the parameter value of the ith real-time system parameter;
Figure SMS_36
parameter values that are the i-th standard parameter;
Figure SMS_39
the possible deviation value of the ith real-time system parameter in the acquisition process is obtained;
Figure SMS_34
acquiring preset weights with deviation aiming at parameters;
Figure SMS_35
Is a preset weight with error aiming at the parameter transmission process, and
Figure SMS_38
+
Figure SMS_40
=1;
Figure SMS_33
a possible error value of a parameter transmission process for the ith real-time system parameter;
Figure SMS_37
a standard error value representing a parameter transmission procedure of an ith standard parameter;
step 33: filling each parameter difference and the corresponding parameter type in the difference set into a parameter-strategy table respectively, and determining an initial upgrading strategy corresponding to the current real-time system parameter based on a corresponding strategy result;
step 34: obtaining an initial comprehensive upgrading strategy based on all the initial upgrading strategies, performing strategy checking based on the initial comprehensive upgrading strategy, and eliminating repeated strategies and conflict strategies to obtain a comprehensive upgrading strategy;
step 35: and transmitting the comprehensive upgrading strategy to an intelligent terminal, and controlling a target poultry farming control system to automatically upgrade the system based on the intelligent terminal.
In this embodiment, the system number refers to a system number corresponding to the target poultry farming control system, where the system number may represent a system azimuth, a system control area, and the like of the target poultry farming control system.
In this embodiment, the real-time system parameter refers to a current real-time system parameter corresponding to the target poultry farming control system after stopping operation.
In this embodiment, the system standard parameter refers to a standard parameter determined based on the system type of the target poultry farming control system.
In this embodiment, the difference set refers to a set formed by differences between real-time system parameters and corresponding system standard parameters, where the differences further include deviation value effects in the parameter acquisition process and deviation value effects in the parameter transmission process.
In this embodiment, the parameter difference refers to the difference between each real-time system parameter in the set of index values and the standard parameter.
In this embodiment, the parameter type refers to a type of each parameter in the real-time system parameters, for example, the parameter types include: output type parameters, array type parameters, value parameters, etc.
In this embodiment, the parameter-policy table refers to a table that determines a corresponding policy based on each parameter difference and a corresponding parameter type of the target poultry farming control system, and fills the corresponding parameters into the table, so that a policy with consistent filling parameters can be obtained, and the policy is convenient to upgrade and use and is set in advance.
In this embodiment, the initial upgrade policy refers to a policy set composed of all policies obtained based on the parameter-policy table.
In this embodiment, the initial comprehensive upgrade policy refers to a policy set obtained based on a corresponding policy of the parameter-policy table after filling all parameter differences and corresponding parameter types in the difference set into the parameter-policy table.
In this embodiment, policy investigation refers to screening and eliminating duplicate policies and conflict policies in an initial comprehensive upgrade policy.
In this embodiment, the repetition policy refers to the policy that is identical to the policy that appears in the initial integrated upgrade policy, and the conflict policy refers to the policy that has policy type conflict between the policies that appear in the initial integrated upgrade policy.
In this embodiment, the comprehensive upgrade policy refers to a policy obtained after the initial comprehensive upgrade policy excludes the repetition policy and the conflict policy.
The beneficial effects of the technical scheme are as follows: by monitoring the poultry farming control system and determining whether automatic upgrading is needed based on the monitoring data, the system which needs to be automatically upgraded is automatically upgraded according to the corresponding upgrading strategy, so that the poultry farming control system is upgraded more timely and accurately.
Example 5:
based on the embodiment 4, an initial comprehensive upgrade policy is obtained based on all initial upgrade policies, and policy investigation is performed based on the initial comprehensive upgrade policy, and a repetition policy and a conflict policy are removed, so as to obtain a comprehensive upgrade policy, including:
step 341: comparing all strategies in the initial comprehensive upgrading strategy one by one, determining whether a repeated strategy exists or not based on a comparison result, and eliminating the repeated strategy to obtain a first initial comprehensive upgrading strategy;
Step 342: based on all strategies in the first initial comprehensive upgrading strategy, obtaining corresponding strategy types, and extracting conflict data types with data conflict of each type of data in the first initial comprehensive upgrading strategy based on a type conflict data table;
comparing the conflict data type corresponding to each type with the strategy types of the rest strategies in the rest first initial comprehensive upgrading strategies;
based on the comparison result, eliminating the conflict strategy, thereby obtaining a second initial comprehensive upgrade strategy;
the second initial comprehensive upgrade strategy is the comprehensive upgrade strategy.
In this embodiment, the initial comprehensive upgrade policy refers to a policy set obtained based on a corresponding policy of the parameter-policy table after filling all parameter differences and corresponding parameter types in the difference set into the parameter-policy table.
In this embodiment, the repetition policy refers to the policy that appears exactly the same in the initial integrated upgrade policy.
In this embodiment, the first initial comprehensive upgrade policy refers to a policy set obtained by eliminating repeated policies in the initial comprehensive upgrade policy.
In this embodiment, the conflict data type refers to a data type that may generate a type conflict corresponding to a policy type of each upgrade policy in the first comprehensive upgrade policy.
In this embodiment, the remaining first initial comprehensive upgrade policy refers to a policy set formed by remaining upgrade policies after the conflict policies are removed.
In this embodiment, the policy type refers to a policy type corresponding to each policy, for example, the policy type includes, but is not limited to, patching a corresponding location, optimizing performance, and reloading a portion of the system.
In this embodiment, the second initial comprehensive upgrade policy is the comprehensive upgrade policy.
The beneficial effects of the technical scheme are as follows: by monitoring the poultry farming control system and comparing the monitoring data, the system to be automatically upgraded is automatically upgraded according to a more accurate upgrading strategy determined in various modes, so that the poultry farming control system is upgraded more timely and accurately.
Example 6:
based on embodiment 4, acquiring a corresponding first expected target state based on the poultry farming control system after automatic upgrading, and performing a second comparison between the first expected target state and a preset expected state, including:
step 01: performing system test on the poultry farming control system after automatic upgrading, and obtaining a first expected target state corresponding to the target poultry farming control system based on a system test result;
Step 02: comparing all state data in the first expected target state with state data of a preset expected state one by one, and determining a state value of the state data of the first expected target state;
the state value is the second comparison result.
In the embodiment, the system test refers to simulating the real working environment corresponding to the system, and the system test is performed on the target poultry farming control system after automatic upgrading by adopting a black box test method.
In this embodiment, the first expected target state refers to real-time state data corresponding to the target poultry farming control system obtained based on the system test.
In this embodiment, the preset expected state refers to an expected state reached after an automatic upgrade determined according to a system type of the target poultry farming control system.
In this embodiment, the state value refers to a difference value between the state data of each expected target state and the state data corresponding to the preset expected state after comparing the state data of each first expected target state with the state data corresponding to the preset expected state one by one.
In this embodiment, the state value is the second comparison result.
The beneficial effects of the technical scheme are as follows: by monitoring the poultry farming control system and comparing the monitoring data, the system to be automatically upgraded is automatically upgraded according to the accurate upgrading strategy, and the upgraded system is tested before restarting, so that the poultry farming control system is more accurately upgraded.
Example 7:
based on the embodiment 6, based on the second comparison result, information prompt is performed, and the system with the upgraded system is controlled to restart and monitor again, as shown in fig. 3, including:
step 41: performing first judgment on the second comparison result;
if the state value corresponding to the second comparison result is higher than the preset state value, judging that the current system automatic upgrading result is qualified, otherwise, judging that the current system automatic upgrading result is unqualified;
step 42: based on the first judgment result, transmitting the first judgment result to the intelligent terminal to prompt corresponding information;
wherein, the poultry farming control system with unqualified automatic upgrading results needs to determine the unqualified type and the unqualified state;
step 43: restarting the system based on the target poultry farming control system with qualified automatic upgrading result, and closing the auxiliary control system after the poultry farming control system reaches a standard running state;
step 44: and after the auxiliary control system is closed, performing system monitoring after a preset period of time for the target poultry farming control system to work.
In this embodiment, the second comparison refers to a state value of each first expected target state obtained by comparing the state data of the first expected target state with the state data of the preset expected state.
In this embodiment, the first judgment refers to comparing the state value of each first expected target state with a preset state value to obtain a comparison result, where the comparison result is the result of the first judgment.
In this embodiment, the state value refers to a difference value between the state data of each expected target state and the state data corresponding to the preset expected state after comparing the state data of each first expected target state with the state data corresponding to the preset expected state one by one.
In this embodiment, the preset state value refers to a minimum state value corresponding to normal operation of the system determined based on the system type and the system working environment of the target poultry farming control system.
In this embodiment, the information prompt refers to transmitting the first judgment result to the intelligent terminal and performing corresponding information prompt, and if the state value corresponding to the second comparison result is higher than the preset state value, judging that the current system automation upgrade result is qualified, and prompting that the target poultry farming control system automation upgrade is qualified; otherwise, judging that the automatic upgrading result of the current system is unqualified, prompting the automatic upgrading of the target poultry farming control system to be unqualified, acquiring corresponding state data, and determining the type and the unqualified state of the system.
In this embodiment, the disqualification type refers to a disqualification type corresponding to the determined current system attribute and obtained by obtaining a result that each state value of the corresponding target poultry farming control system after automatic upgrading is not higher than a preset state value when the state value corresponding to the second comparison result is not higher than the preset state value, and obtaining the system attribute corresponding to the current state value.
In this embodiment, the unqualified state refers to a state value corresponding to the second comparison result being not higher than a preset state value, and when the state value corresponding to the second comparison result is not higher than the preset state value, a result that each state value corresponding to the target poultry farming control system after automatic upgrading is not higher than the preset state value is obtained, a system attribute corresponding to the current state value is obtained, and the unqualified state corresponding to the determined current system attribute is determined, for example, the unqualified state includes: and stopping the operation state and a fault operation state.
In this embodiment, the standard operation state refers to a system operation state corresponding to a standard control environment that needs to be reached by the poultry farming control area when the target poultry farming control system is operating normally.
In this embodiment, the auxiliary control system is an auxiliary system additionally arranged in the control range of the target poultry farming control system, and is used for timely controlling the target poultry farming control area when the target poultry farming control system needs to be automatically updated or a system fault occurs, so as to avoid loss.
In this embodiment, the preset time period refers to the estimated time from the start of operation to the target poultry farming control system reaching the target brick running state.
The beneficial effects of the technical scheme are as follows: by monitoring the poultry farming control system and comparing the monitoring data, the system to be automatically upgraded is automatically upgraded according to the accurate upgrading strategy, and the upgraded system is monitored again, so that the poultry farming control system is more accurately upgraded.
Example 8:
based on the embodiment 7, if the monitoring result meets the standard, the system upgrading is judged to be completed, and the automatic upgrading of the target poultry farming control system is realized, including:
step 51: performing monitoring comprehensive test based on all monitoring results of the system, and judging whether the monitoring results reach the standard or not;
if the monitoring result reaches the standard, judging that the poultry farming control system is upgraded, otherwise, judging that the poultry farming control system is failed to be upgraded;
step 52: acquiring a new system number of the poultry farming control system which is successfully upgraded, transmitting the new system number to an intelligent terminal, and determining that the poultry farming control system corresponding to the new system number is automatically upgraded.
In this embodiment, the comprehensive monitoring test means that an automatically updated poultry farming control system is monitored, monitoring data is obtained, and all monitoring data are synthesized to obtain a comprehensive monitoring test result.
The beneficial effects of the technical scheme are as follows: by monitoring the poultry farming control system and comparing the monitoring data, the system to be automatically upgraded is automatically upgraded according to the accurate upgrading strategy, and the upgraded system is monitored again, so that the poultry farming control system is more accurately upgraded.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (8)

1. An automated upgrading method of a poultry farming control system, comprising:
step 1: acquiring real-time monitoring data of the poultry farming control system, and performing first comparison on the real-time monitoring data and a preset minimum data table;
step 2: determining whether the poultry farming control system needs to be automatically upgraded or not based on a first comparison result, if so, controlling the poultry farming control system to stop running, and simultaneously starting an auxiliary control system to temporarily run;
Step 3: automatically upgrading the poultry farming control system after stopping running according to a preset upgrading strategy, acquiring a corresponding first expected target state based on the poultry farming control system after automatic upgrading, and performing second comparison on the first expected target state and the preset expected state;
step 4: and carrying out information prompt based on the second comparison result, controlling the restarting of the system with the updated system, and monitoring again, and if the monitoring result meets the standard, judging that the system is updated, so as to realize the automatic updating of the target poultry farming control system.
2. The automated method of upgrading an avian farming control system of claim 1, wherein obtaining real-time monitoring data of the avian farming control system and first comparing the real-time monitoring data with a preset minimum data table comprises:
step 11: acquiring real-time monitoring data of a poultry breeding control system in a target research area;
step 12: filling the real-time monitoring data into the corresponding position of the first data table, comparing the real-time monitoring data with the data in the corresponding preset lowest data table one by one based on the first data table, and determining the first number of the first data of the corresponding data of the lowest data table or more in the first data table;
Step 13: acquiring first data differences of each first data, and taking all the first data differences as a first reference of a first comparison result;
step 14: extracting second data of which the real-time monitoring data are smaller than the lowest data table and second number of the second data in the first data table, acquiring second data differences of each second data, and taking all the second data differences as second references of first comparison results;
step 15: acquiring a first set weight greater than or equal to the lowest data table from the weight setting table
Figure QLYQS_1
And is given to the firstOn a reference, at the same time, a second set weight +.>
Figure QLYQS_2
And is assigned to the second reference;
step 16: acquiring a first parameter weight corresponding to the data type of each first data and a second parameter weight corresponding to the data type of each second data from the weight setting table;
step 17: based on the first set weight
Figure QLYQS_3
Second set weight->
Figure QLYQS_4
Calculating the corresponding value of the first data table corresponding to the real-time monitoring data and the preset lowest data table +.>
Figure QLYQS_5
Figure QLYQS_6
Wherein n01 represents a first data number; n02 represents a second number; n03 represents a third number of remaining data in the lowest data table;
Figure QLYQS_7
A first parameter weight representing the j1 st first data; />
Figure QLYQS_8
A second parameter weight representing a j2 th second data; />
Figure QLYQS_9
A first data difference representing a j2 th first data; />
Figure QLYQS_10
A second data difference representing a j2 th second data;
step 18: taking the corresponding value D1 as a first comparison result;
wherein the reference weight of the first reference is greater than the reference weight of the second reference.
3. The automated upgrade method of a poultry farming control system according to claim 2, wherein determining whether the poultry farming control system needs to be automatically upgraded based on the first comparison result, if so, controlling the poultry farming control system to stop operating while starting an auxiliary control system to temporarily operate comprises:
step 21: determining whether the target poultry farming control system needs to be automatically upgraded based on the first comparison result;
if the corresponding value of the first comparison result is smaller than a first preset value, judging that the target poultry farming control system does not need to be automatically updated;
otherwise, judging that the target poultry farming control system needs to be automatically upgraded;
step 22: acquiring a corresponding system number based on a poultry breeding control system which needs to be automatically upgraded, transmitting the corresponding system number to an intelligent terminal, and acquiring a corresponding position of the system and a corresponding number of an auxiliary control system at the corresponding position based on a database of the intelligent terminal;
Step 23: starting an auxiliary system to temporarily run based on the corresponding number of the auxiliary control system, and acquiring corresponding real-time monitoring data;
if the real-time monitoring data reach the preset standard, judging that the auxiliary control system is qualified in operation, and stopping the operation of the target poultry farming control system corresponding to the control system number;
otherwise, the target poultry farming control system needs to continue working, if the working time of the target poultry farming control system needing to continue working exceeds the preset time, the current auxiliary control system is judged to be unqualified, and early warning is carried out.
4. The automated upgrade method of an avian farming control system according to claim 3, wherein the automated upgrade of the poultry farming control system after shutdown according to a preset upgrade strategy comprises:
step 31: acquiring a system number and a real-time system parameter of a target poultry breeding control system which stops running, comparing the system number with a number in a system database, and determining a system standard parameter of the target poultry breeding control system;
step 32: comparing the real-time system parameters with the system standard parameters to determine a difference value set T between the real-time system parameters and the standard parameters;
Figure QLYQS_11
Wherein,,
Figure QLYQS_13
the parameter value of the ith real-time system parameter; />
Figure QLYQS_17
Parameter values that are the i-th standard parameter; />
Figure QLYQS_19
The possible deviation value of the ith real-time system parameter in the acquisition process is obtained; />
Figure QLYQS_14
Acquiring preset weights with deviation aiming at parameters; />
Figure QLYQS_16
Is a preset weight with error for parameter transmission process, and +.>
Figure QLYQS_18
+/>
Figure QLYQS_20
=1;/>
Figure QLYQS_12
A possible error value of a parameter transmission process for the ith real-time system parameter; />
Figure QLYQS_15
A standard error value representing a parameter transmission procedure of an ith standard parameter;
step 33: filling each parameter difference and the corresponding parameter type in the difference set into a parameter-strategy table respectively, and determining an initial upgrading strategy corresponding to the current real-time system parameter based on a corresponding strategy result;
step 34: obtaining an initial comprehensive upgrading strategy based on all the initial upgrading strategies, performing strategy checking based on the initial comprehensive upgrading strategy, and eliminating repeated strategies and conflict strategies to obtain a comprehensive upgrading strategy;
step 35: and transmitting the comprehensive upgrading strategy to an intelligent terminal, and controlling a target poultry farming control system to automatically upgrade the system based on the intelligent terminal.
5. The automated escalation method of an avian farming control system of claim 4, wherein performing policy investigation based on an initial integrated escalation policy, excluding duplicate policies and conflicting policies, results in an integrated escalation policy comprising:
Step 341: comparing all strategies in the initial comprehensive upgrading strategy one by one, determining whether a repeated strategy exists or not based on a comparison result, and eliminating the repeated strategy to obtain a first initial comprehensive upgrading strategy;
step 342: based on all strategies in the first initial comprehensive upgrading strategy, obtaining corresponding strategy types, and extracting conflict data types with data conflict of each type of data in the first initial comprehensive upgrading strategy based on a type conflict data table;
comparing the conflict data type corresponding to each type with the strategy types of the rest strategies in the rest first initial comprehensive upgrading strategies;
based on the comparison result, eliminating the conflict strategy, thereby obtaining a second initial comprehensive upgrade strategy;
the second initial comprehensive upgrade strategy is the comprehensive upgrade strategy.
6. The automated method of upgrading an avian farming control system of claim 4, wherein obtaining a corresponding first desired target state based on the automated upgraded avian farming control system and performing a second comparison of the first desired target state with a preset desired state comprises:
step 01: performing system test on the poultry farming control system after automatic upgrading, and obtaining a first expected target state corresponding to the target poultry farming control system based on a system test result;
Step 02: comparing all state data in the first expected target state with state data of a preset expected state one by one, and determining a state value of the state data of the first expected target state;
the state value is the second comparison result.
7. The automated method of upgrading an avian farming control system of claim 6 wherein the information prompting based on the second comparison result controls restarting the upgraded system and monitoring again comprises:
step 41: performing first judgment on the second comparison result;
if the state value corresponding to the second comparison result is higher than the preset state value, judging that the current system automatic upgrading result is qualified, otherwise, judging that the current system automatic upgrading result is unqualified;
step 42: based on the first judgment result, transmitting the first judgment result to the intelligent terminal to prompt corresponding information;
wherein, the poultry farming control system with unqualified automatic upgrading results needs to determine the unqualified type and the unqualified state;
step 43: restarting the system based on the target poultry farming control system with qualified automatic upgrading result, and closing the auxiliary control system after the poultry farming control system reaches a standard running state;
Step 44: and after the auxiliary control system is closed, performing system monitoring after a preset period of time for the target poultry farming control system to work.
8. The automated upgrade method of an avian farming control system of claim 7, wherein if the monitoring result meets the standard, determining that the system upgrade is complete, implementing the automated upgrade of the target avian farming control system comprises:
step 51: performing monitoring comprehensive test based on all monitoring results of the system, and judging whether the monitoring results reach the standard or not;
if the monitoring result reaches the standard, judging that the poultry farming control system is upgraded, otherwise, judging that the poultry farming control system is failed to be upgraded;
step 52: acquiring a new system number of the poultry farming control system which is successfully upgraded, transmitting the new system number to an intelligent terminal, and determining that the poultry farming control system corresponding to the new system number is automatically upgraded.
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