CN106485589A - A kind of Agriculture enterprise group KXG based on Internet of Things - Google Patents
A kind of Agriculture enterprise group KXG based on Internet of Things Download PDFInfo
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Abstract
The invention discloses a kind of Agriculture enterprise group KXG based on Internet of Things, including information acquisition system, Internet of Things cloud platform, information management platform, application layer and terminal, information acquisition system, the outfan of information management platform and terminal is all connected with Internet of Things cloud platform through communication system, Internet of Things cloud platform is also connected with application layer through communication system, information acquisition system is used for gathering crop growth environment information and enterprise production and management information, and the information collecting is sent to Internet of Things cloud platform through communication system, Internet of Things cloud platform is processed to the information that signal acquiring system collects and is stored, and data query and calculating are carried out according to the instruction that terminal sends, application layer is used for executing corresponding action according to the result that Internet of Things cloud platform sends.The present invention can carry out combing and control to company information data and Activities, realize resource data and share, improve management quality and efficiency.
Description
Technical Field
The invention relates to the field of agricultural enterprise group informatization systems, in particular to an agricultural enterprise group informatization management system based on the Internet of things.
Background
Modern agricultural enterprise groups are generally attached with breeding bases, processing centers, scientific research centers and other organizations, subordinate organizations and management levels are more, and the regional distribution is generally wide or scattered. Due to the operating characteristics of the agricultural enterprise group, the information of each subsidiary company acquired by the parent company in the domestic part of the group is transmitted in a conference and file transmission mode, so that the transmitted information amount is small, the efficiency is low, and the cost is high. With the increase of the levels and the scale of the agricultural enterprise group, the information transmission chain becomes long, if the information transmission and processing efficiency is not improved, large enterprise diseases such as internal communication and resource utilization efficiency reduction, information asymmetry, slow response of enterprise decision to the market and the like occur, and the operation risk is increased.
Disclosure of Invention
The invention aims to provide an agricultural enterprise group informatization management system based on the Internet of things, which can be used for combing and controlling enterprise information data and various activities, maximally realize resource and data sharing, and improve management quality and efficiency.
In order to achieve the purpose, the invention adopts the following technical scheme:
an agricultural enterprise group informatization management system based on the Internet of things comprises an information acquisition system, an Internet of things cloud platform, an information management platform, an application layer and a terminal, wherein the output ends of the information acquisition system, the information management platform and the terminal are all connected with the Internet of things cloud platform through a communication system, the Internet of things cloud platform is also connected with the application layer through the communication system, the information acquisition system is used for acquiring crop growth environment information and enterprise production and operation information, and the acquired information is sent to the Internet of things cloud platform through the communication system, the Internet of things cloud platform processes and stores the information acquired by the signal acquisition system, and data query and calculation are carried out according to the instruction sent by the terminal, and the result is sent to an application layer, wherein the information management platform is used for providing background management and data support, and the application layer is used for executing corresponding actions according to the result sent by the cloud platform of the Internet of things.
The information acquisition system comprises a soil nutrient tester, a soil temperature sensor, a soil moisture sensor, a light intensity tester and a crop reflection spectrum receiver, wherein the soil nutrient tester, the soil temperature sensor, the soil moisture sensor, the light intensity tester and the crop reflection spectrum receiver are used for acquiring growth information, environment information and manual intervention information of crops, a gas sensor and a GPS (global positioning system) are used for acquiring logistics information, a camera and two-dimensional code printing equipment are used for acquiring storage information, and the Internet is used for acquiring various financial and human resources and market management information in enterprise management.
The working process of the Internet of things cloud platform is as follows:
the cloud platform of the Internet of things sends a request R according to the terminali(i ═ 1,2, … … i), using an algorithm or model Mj(j is 1,2, … …, j) and obtaining a calculation result Vij(i-1, 2, … … i; j-1, 2, … …, j) in response to a request R sent by the terminaliAnd algorithm or model MjEstablishing a weight set V based on a Delphi method of expert experience scoring, and calling a weight W from the weight set Vij，V＝{Wij|Wij＝f(Mj，Ri) Finally ∑ (V) is utilizedij×Wij) A calculation result is obtained, wherein ∑ (V)ij×Wij) The weighted value of the sum of each calculation result is represented, the cloud platform of the internet of things sends the calculation results to an application layer through a communication system, and an algorithm or a model M is usedj(j ═ 1,2, … …, j) represents the algorithm of the cloud platform of the internet of things, and comprises a fuzzy control algorithm and a two-dimensional vector space model, Vij(i-1, 2, … … i; j-1, 2, … …, j) represents the results of calculations based on the above algorithm or model.
The calculation process of the fuzzy control algorithm is as follows:
recording the actual information acquired by the information acquisition system as VMeasuringWhile marking the standard information as VStandard of meritThe deviation of the actual information from the standard information is e, e ═ VMeasuring-VStandard of meritCalculating the variation rate of the deviation from the deviation eWherein e iscIndicating the rate of change of deviation, subscript c being a distinguishing function only and not a variable, e1Representing the deviation of this sampling, e2Representing the error of the last sampling, T representing the sampling interval time, defining the output quantity of the information management system and the application layer as u, and the fuzzy subset of the bias value e asAiI is 1,2, … …, i, rate of change of deviation ecIs BjJ is 1,2, … …, j, the fuzzy subset of the output u is CijThe rules are established according to a fuzzy control algorithm as follows: IF e ═ aiAND ec＝Bj，THEN u＝CijEstablishing fuzzy relation R among all parameters according to the ruleh＝Ai×Bj×CijAnd overall fuzzy relationWherein h represents the number of fuzzy rules, h is 1,2, … …, h, and finally, the output control quantity V is calculated by using the fuzzy relation and the fuzzy rulesij＝(Ai×Bj) R, wherein AiFuzzy subset representing deviation value e, i ═ 1,2, … …, i, BjIndicates the rate of change e of deviationcJ-1, 2, … …, j, R represents the overall fuzzy relationship.
The calculation process of the two-dimensional vector space model is as follows:
mapping data acquired by an information acquisition system into a data set D { D }1，d2，……，di1,2, … …, i, wherein diRepresenting a single entry in a data set, decomposing the single entry into professional characteristic word vector components dipAnd a common feature word vector component digI.e. di＝{dip，digEach component is represented as quantizedWherein,represents the k-th feature word TkIn entry diWherein T iskRepresenting the key words in the entry of the word, wherein TF represents the word frequency, IDF represents the inverse word frequency, fkRepresentation feature word TkIn entry diC represents the total number of terms of the entry, N represents the total number of terms of the data set D, NkRepresenting the characteristic words T contained in the data set DkThe total number of entries of;
further adjusting the weight according to different professional dimensions to form a final word weight:
(α and β are constants determined by neural network model test results)
Finally, sorting the final word weights according to sizes and outputting a control quantity, namely Vij。
Said algorithm or model Mj(j ═ 1,2, … …, j) also represents an expert-experience-based intelligent control model, which is calculated as follows:
establishing a crop normal growth information base, a product processing key point information base and a storage and logistics key index information base in an expert experience model base according to data information of perennial crop growth, product processing, storage and logistics collected by an information collection system, and recording standard values of various parameters of crops as VStandard of merit，And recording the data acquired by the information acquisition system as VMeasuring，
VMeasuring＝aMeasuring，bMeasuring，……，zMeasuringData V acquired by the information acquisition systemMeasuringAnd a standard value VStandard of meritBy comparison, if VMeasuringAt VStandard of meritOtherwise, the cloud platform sends an alarmThe command triggers a control system on the cloud platform to act, wherein VStandard of meritDenotes one standard interval or a plurality of standard intervals, VMeasuringAt VStandard of meritThe outside indicates that the data acquired by the data acquisition system is smaller than the minimum value of the standard interval, or larger than the maximum value of the standard interval, or is in a plurality of standard intervals.
The cloud platform of the Internet of things comprises a main running machine and a standby running machine, wherein the main running machine is connected with the standby running machine through a communication system, when the main running machine is in a working state, the standby running machine is in a hot standby state, the main running system backs up communication data in work to the standby running machine in real time, and when the main running machine breaks down, the standby running machine in the hot standby state is immediately activated, replaces the main running machine to enter the working state, and sends back a starting signal.
The information management platform comprises a production management platform, an office management platform, a financial management platform, a human resource management platform and a decision support management platform.
The application layer includes production activities, business activities, financial control, investment and financing activities, human resource control, risk control, and decision support.
The invention has the following advantages:
(1) and optimizing the production and operation process of the recombination enterprise. The information acquisition system is utilized to efficiently and conveniently acquire required information, various information acquired by the information acquisition system is input into the Internet of things cloud platform, the Internet of things cloud platform fully utilizes the support of big data to deeply analyze various service characteristics and rule changes in a group, the information processing quantity is large and fast, the automation degree is high, and information, manpower, resources, materials and process management of enterprises can be continuously optimized and integrated;
(2) simplify enterprise's management structure, raise the efficiency. Utilize thing networking cloud platform, can optimize the inside operation structure of enterprise for work that originally needs many people to divide the worker to cooperate only needs just can accomplish alone after information technology recombinates, makes the post more retrench, reduces the management level, and enterprise organizational structure tends to the flatness, improves managerial efficiency and quality.
(3) And the decision scientization is promoted. The method comprises the steps of inputting a control instruction by using a terminal, constructing a decision support system by using big data advantages of an Internet of things cloud platform, inputting data collected by an information collection system into an application layer after screening and processing, realizing intelligent control and scheduling of the application layer, and utilizing strong data storage and computational analysis capacity of the Internet of things cloud platform.
Drawings
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
As shown in fig. 1, the system comprises an information acquisition system, an internet of things cloud platform, an information management platform, an application layer and a terminal, wherein the output ends of the information acquisition system, the information management platform and the terminal are connected with the internet of things cloud platform through a communication system, the internet of things cloud platform is further connected with the application layer through the communication system, the communication system adopts a wired or wireless communication mode, the information acquisition system is used for acquiring crop growth environment information and group information and sending the acquired information to the internet of things cloud platform through the communication system, the information management platform is used for providing data support for crop growth, product processing, warehousing, logistics, finance and human resource management, the terminal is used for sending a request to the internet of things cloud platform, the application layer is used for executing corresponding actions according to the output result of the internet of things cloud platform, and the application layer is also used for judging whether the information acquired by the information acquisition system, the Internet of things cloud platform is used for processing and storing information acquired by the signal acquisition system, performing data query and calculation according to instructions sent by the application layer, and sending results to the application layer. The information acquisition system acquires crop growth information, environmental information, manual intervention information, product information, storage and logistics information, financial information, human resource information and market management information and sends the acquired information to the Internet of things cloud platform through the communication system, the user terminal submits inquiry, calculation and analysis requests to the Internet of things cloud platform, the Internet of things cloud platform carries out retrieval and calculation analysis according to the requests sent by the application layer, results or instructions are sent to the application layer, and intelligent control and scheduling of the application layer are achieved.
The information acquisition system is used for acquiring crop growth information, environment information, manual intervention information, product generation, storage and transportation information, and various financial, human resource and market management information acquired in enterprise management, and transmitting the acquired information to the Internet of things cloud platform. The information acquisition system includes soil nutrient tester, soil temperature sensor, soil moisture sensor, illuminance tester, crops reflection spectrum receiver, temperature and humidity sensor, gas sensor, the camera, two-dimensional code printing apparatus, GPS and internet, soil nutrient tester, soil temperature sensor and soil moisture sensor all bury underground, illuminance tester and crops reflection spectrum receiver all set up in the field, the camera sets up in the warehouse, gas sensor sets up respectively in warehouse and commodity circulation transport vechicle, GPS sets up in the commodity circulation transport vechicle. Soil nutrient tester, soil temperature sensor, soil moisture sensor, illuminance tester and crops reflection spectrum receiver all are used for gathering the growth information of crops, the environmental information of locating and manual intervention information, and gas sensor and GPS are used for gathering logistics information, and camera and two-dimensional code printing apparatus are used for gathering storage information, and the internet is used for gathering each item financial affairs, manpower resources and market management information among the enterprise management.
The information management platform is used for providing data support for crop growth, product processing, warehousing, logistics, financial and human resource management, and comprises a production, operation and management platform, an office management platform, a financial management platform, a human resource management platform and a decision support and management platform, wherein the information management platform collects information, analyzes and calculates by utilizing an algorithm or a model provided by a cloud platform, and outputs instructions to control a terminal to execute various commands, so that the information management of agricultural product growth, product processing, warehousing, logistics, financial, human resource and decision is provided.
The application layer is used for executing corresponding actions according to the output result of the cloud platform of the Internet of things, including production activities, management activities, financial control, investment and financing activities, human resource control, risk control and decision support, and the application layer widely collects crop growth, product processing generation, storage, logistics, finance, human resources and historical data and real data related to operation from the collection of information of each stage of crop seed selection, growth, pesticide application and fertilization and harvesting, the intelligent control of crop fertilization, water application, pesticide application, product production and processing information backtracking, temperature regulation, dehumidification and ventilation of stored products, delivery and distribution and logistics scheduling, financial analysis control and evaluation, performance assessment and incentive scheme optimization, supplier and client information management, market operation trend analysis, enterprise operation strategy analysis and enterprise decision support is realized.
The Internet of things cloud platform is used for processing and storing information acquired by the signal acquisition system, inquiring and calculating data according to the instruction sent by the terminal, and sending the result to the application layer.
The working process of the Internet of things cloud platform is as follows:
the cloud platform of the Internet of things sends a request R according to the terminali(i ═ 1,2, … … i), using an algorithm or model Mj(j is 1,2, … …, j) and obtaining a calculation result Vij(i-1, 2, … … i; j-1, 2, … …, j) in response to a request R sent by the terminaliAnd algorithm or model MjEstablishing a weight set V based on Delphi method (Delphi method) of expert experience scoring, and calling a weight W from the weight set Vij，V＝{Wij|Wij＝f(Mj，Ri) Finally ∑ (V) is utilizedij×Wij) A calculation result is obtained, wherein ∑ (V)ij×Wij) And the weighted value of the sum of each calculation result is expressed, and the Internet of things cloud platform sends the calculation results to the application layer through the communication system.
Wherein the algorithm or model Mj(j ═ 1,2, … …, j) represents the algorithm of the cloud platform of the internet of things, and comprises a fuzzy control algorithm and a two-dimensional vector space model, Vij(i-1, 2, … … i; j-1, 2, … …, j) represents the calculation results based on the above algorithm or model; the process of establishing the weight set V based on the Delphil method scored by expert experience and the process of retrieving weights from the weight set V are the prior art and are not described again.
The calculation process of the fuzzy control algorithm is as follows:
recording the actual information acquired by the information acquisition system as VMeasuringWhile marking the standard information as VStandard of meritThe deviation of the actual information from the standard information is e, e ═ VMeasuring-VStandard of meritCalculating the variation rate of the deviation from the deviation eWherein e iscIndicating the rate of change of deviation, subscript c being a distinguishing function only and not a variable, e1Representing the deviation of this sampling, e2Representing the error of the last sampling, T representing the sampling interval time, defining the output quantity of an information management system and an application layer as u, and defining the fuzzy subset of an offset value e as AiI is 1,2, … …, i, rate of change of deviation ecIs BjJ is 1,2, … …, j, the fuzzy subset of the output u is CijThe rule is established according to the parameters as follows: IF e ═ aiAND ec＝BjTHEN u＝CijEstablishing fuzzy relations among the parameters according to the rulesIs Rh＝Ai×Bj×CijAnd the overall fuzzy relationship isWherein h represents the number of fuzzy rules, h is 1,2, … …, h, and finally, the output control quantity V is calculated by using the fuzzy relation and the fuzzy rulesij＝(Ai×Bj) R, wherein AiFuzzy subset representing deviation value e, i ═ 1,2, … …, i, BjIndicates the rate of change e of deviationcJ-1, 2, … …, j, R represents the overall fuzzy relationship. Fuzzy relation RhThe total fuzzy relation is R and the output control quantity VijThe calculation methods are all the prior art and are not described again
The calculation process of the two-dimensional vector space model is as follows:
mapping data acquired by an information acquisition system into a data set D { D }1，d2，……，di1,2, … …, i, wherein diRepresenting a single entry in a data set, decomposing the single entry into professional characteristic word vector components dipAnd a common feature word vector component digI.e. di＝{dip，digEach component is represented as quantizedWherein,represents the k-th feature word TkIn entry diWherein T iskRepresenting the key words in the entry of the word, wherein TF represents the word frequency, IDF represents the inverse word frequency, fkRepresentation feature word TkIn entry diC represents the total number of terms of the entry, N represents the total number of terms of the data set D, NkRepresenting the characteristic words T contained in the data set DkThe total number of entries, the process of decomposing a single entry and quantizing each component are the prior art, and are not described again;
further adjusting the weight according to different professional dimensions to form a final word weight:
(α and β are constants determined by neural network model test results)
Sorting the final word weights according to sizes and outputting a control quantity, namely Vij。
Algorithm or model Mj(j ═ 1,2, … …, j) further represents an expert experience-based intelligent control model, the expert experience-based intelligent model is used for judging whether the data collected by the information collection system exceed a threshold value, and the calculation process of the expert experience-based intelligent control model is as follows:
establishing a crop normal growth information base, a product processing key point information base and a storage and logistics key index information base in an expert experience model base according to data information of perennial crop growth, product processing, storage and logistics collected by an information collection system, and recording standard values of various parameters of crops as VStandard of merit，Recording the data acquired by the information acquisition system as VMeasuring，
VMeasuring＝aMeasuring，bMeasuring，……，zMeasuringData V acquired by the information acquisition systemMeasuringAnd a standard value VStandard of meritBy comparison, if VMeasuringAt VStandard of meritAnd otherwise, the cloud platform sends an alarm instruction to trigger a control system on the cloud platform to act. Wherein，VStandard of meritIs one standard interval or a plurality of standard intervals, VMeasuringAt VStandard of meritThe outside indicates that the data acquired by the data acquisition system is smaller than the minimum value of the standard interval, or larger than the maximum value of the standard interval, or is in a plurality of standard intervals.
In this embodiment, the internet of things cloud platform adopts a dual-host redundant system, that is, the internet of things cloud platform includes a main operation machine and a standby operation machine, the main operation machine is connected with the standby operation machine through a communication system, when the main operation machine is in a working state, the standby operation machine is in a hot standby state, the main operation system backs up communication data in work to the standby operation machine in real time, when the main operation machine fails, the standby operation machine in the hot standby state is immediately activated, the main operation machine is replaced to enter the working state, and meanwhile, a start signal is sent back, so that normal operation of a core system is ensured.
When the intelligent crop management system works, the information acquisition equipment is used for collecting growth information, environment information, manual intervention information, product information, storage and logistics information, financial information, human resource information and market management information of crops, the growth information, the environment information, the manual intervention information, the product information, the storage and logistics information, the financial information, the human resource information and the market management information are transmitted to the Internet of things cloud platform in a wired or wireless mode, a user submits inquiry, calculation and analysis requests to the Internet of things cloud platform through a terminal, the Internet of things cloud platform conducts retrieval and calculation analysis through a fuzzy control algorithm, a two-dimensional vector space model and an expert experience-based intelligent model base, results or instructions are sent to an.
The working process of the present invention is described in detail below with reference to specific examples.
Example one
When agricultural product growth control is carried out, firstly, the information of seed selection, growth, the fertilization of giving medicine to poor free of charge and each stage of picking of crops is gathered through the signal acquisition system, send to thing networking cloud platform through communication system and store, the user can be as required through the various information that acquire crops, when the user is acquireing the information of crops, at first send the instruction to thing networking cloud platform through the terminal, thing networking cloud platform calculates according to the instruction, thereby output result to application layer, supply the user to read, thing networking cloud platform still can control crops according to user's instruction control application layer. The crop growth information comprises growth condition information such as soil nutrients, soil temperature and humidity, environment temperature and humidity, illumination intensity, crop spectrum information and the like, and also comprises chemical fertilizer type and application amount, pesticide type and application amount information.
Example two
When product processing control is carried out, in a product generation stage, a two-dimensional code or an electronic tag is generated on a product by utilizing a digital information technology, key behavior information of the product is added into the two-dimensional code or the electronic tag, the two-dimensional code information and the electronic tag are input into the Internet of things cloud platform, and after a user sends a request to the Internet of things cloud platform through a terminal, the whole-course production, intervention and moving conditions of the product can be obtained from the Internet of things platform, backtracking is realized, and the product quality is controllable.
EXAMPLE III
When the storage control is carried out, the two-dimensional code technology is adopted, the quantity, the quality and the in-out information of agricultural products are collected, the storage is updated in real time, and the storage alarm is automatically realized in time. The temperature and humidity sensor and the gas sensor are installed in the warehouse, the concentration of temperature and humidity, carbon dioxide and nitrogen is monitored and collected, the concentration is transmitted to the Internet of things cloud platform through the communication system, threshold values of all monitoring indexes are arranged in the Internet of things cloud platform, when the signal acquisition equipment detects that detection indexes in the warehouse exceed the threshold values, the Internet of things cloud platform automatically gives an alarm through the cloud platform and sends out instructions to corresponding equipment of an application layer, automatic temperature adjustment, dehumidifying and ventilating operations are achieved, and stock and quality of stored products are intelligently controlled.
Example four
When carrying out logistics control, install sensor and GPS on haulage vehicle, the monitoring haulage vehicle position, haulage vehicle's humiture and gas concentration information, and link vehicle positional information and electronic map platform in real time, acquire traffic and road conditions information in real time, and upload to thing networking cloud platform, the customer that thing networking cloud platform sent combines the terminal and order information, the control application layer carries out logistics scheduling, sweep the sign indicating number etc. through the terminal at last and confirm the information of receiving, realize high-efficient accurate control such as quick bill of opening of product, the delivery, optimal path planning.
EXAMPLE five
When financial control and evaluation are carried out, the financial data collected by each terminal are concentrated to the Internet of things cloud platform by utilizing the Internet environment, the financial data are merged, analyzed and processed by the Internet of things cloud platform, the unified accounting, report merging and unified management of group finance are realized, and the financial reports, various product cost reports, regional sales condition reports and customer credit reports of a group or each subsidiary company are obtained by utilizing different algorithms and models, so that effective financial control is realized. Meanwhile, the financial data and the reports of the subsidiary companies scattered in the group are integrated, and the indexes of the analysis repayment capacity, the profit capacity, the operation capacity, the growth capacity and the like are obtained through quantitative comparison and analysis to make objective judgment on the business performance of the production channels, so that the financial evaluation is realized.
EXAMPLE six
When the human resource management is carried out, the Internet environment is utilized, the staff basic information, attendance, training, salary, welfare, labor contract and customer information collected by the information collection system are concentrated to the Internet of things cloud platform, after the staff basic information, the attendance, the training, the salary, the welfare, the labor contract and the customer information are processed by the Internet of things cloud platform, the terminal is utilized to carry out data query, analysis and statistics, the phenomena of manual work dispersion and isolation are eliminated, and the human resource information can be objectively and really shared in group enterprises.
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When the manpower resource data are analyzed, the work technology content, the labor intensity, the influence on the product quality, the influence on the customer satisfaction degree and the created economic benefit of the staff are taken as factors Fi(i ═ 1,2, … …, i), for factor FiGiving weightAnd calculate each employee Ej(j-1, 2, … …, j), i.e. determining employee E by investigation and assessmentjEach factor score V ofjiThen, its contribution degree CjIs Cj＝∑Vji×Wi(i-1, 2, … …, i; j-1, 2, … …, j), wherein V isjiThe system expresses various factors influencing employee evaluation, can provide support for enterprise salary system formulation, performance evaluation and bonus issuance, incentive scheme optimization, supplier and customer information management and the like according to the contribution degree of the employees, and is rapid, scientific, effective and high in accuracy according to the big data support of the working performance.
Example eight
When company decision support management is carried out, the Internet of things cloud platform collects, screens and calculates and analyzes collected information flow, comprehensively utilizes historical data and situation data of cost, market, operating environment and the like of each subsidiary company in a group to establish a model base comprising a production and sales analysis model, a client and market analysis model, a financial analysis model and a strategic analysis model, and generates enterprise production and operation trend, industrial chain support change analysis, financial analysis, client shopping habit and trend analysis, market operation trend analysis and enterprise operation strategic analysis by relying on strong data storage and calculation and analysis capabilities of the cloud platform to form decision support data or reports and assist scientific decision.
The invention can comb and control enterprise information data and various activities, maximally realize resource and data sharing, and improve management quality and efficiency.
Claims (9)
1. The utility model provides an agricultural enterprise group information management system based on thing networking which characterized in that: the system comprises an information acquisition system, an Internet of things cloud platform, an information management platform, an application layer and a terminal, wherein the output ends of the information acquisition system, the information management platform and the terminal are connected with the Internet of things cloud platform through a communication system, the Internet of things cloud platform is further connected with the application layer through the communication system, the information acquisition system is used for acquiring crop growth environment information and enterprise production and management information and sending the acquired information to the Internet of things cloud platform through the communication system, the Internet of things cloud platform processes and stores the information acquired by the signal acquisition system, carries out data query and calculation according to an instruction sent by the terminal and sends the result to the application layer, the information management platform is used for providing background management and data support, and the application layer is used for executing corresponding actions according to the result sent by the Internet of things cloud platform.
2. The internet-of-things-based agricultural enterprise group information management system of claim 1, wherein: the information acquisition system comprises a soil nutrient tester, a soil temperature sensor, a soil moisture sensor, a light intensity tester and a crop reflection spectrum receiver, wherein the soil nutrient tester, the soil temperature sensor, the soil moisture sensor, the light intensity tester and the crop reflection spectrum receiver are used for acquiring growth information, environment information and manual intervention information of crops, a gas sensor and a GPS (global positioning system) are used for acquiring logistics information, a camera and two-dimensional code printing equipment are used for acquiring storage information, and the Internet is used for acquiring various financial and human resources and market management information in enterprise management.
3. The internet-of-things-based agricultural enterprise group information management system of claim 1, wherein the internet-of-things cloud platform works as follows:
the cloud platform of the Internet of things sends a request R according to the terminali(i ═ 1,2, … … i), using an algorithm or model Mj(j is 1,2, … …, j) and obtaining a calculation result Vij(i-1, 2, … … i; j-1, 2, … …, j) in response to a request R sent by the terminaliAnd algorithm or model MjEstablishing a weight set V based on a Delphi method of expert experience scoring, and calling a weight W from the weight set Vij，V＝{Wij|Wij＝f(Mj，Ri) Finally ∑ (V) is utilizedij×Wij) A calculation result is obtained, wherein ∑ (V)ij×Wij) The weighted value of the sum of each calculation result is represented, the cloud platform of the internet of things sends the calculation results to an application layer through a communication system, and an algorithm or a model M is usedj(j ═ 1,2, … …, j) represents an algorithm of the internet of things cloud platform, including a moduleFuzzy control algorithm and two-dimensional vector space model, Vij(i-1, 2, … … i; j-1, 2, … …, j) represents the results of calculations based on the above algorithm or model.
4. The Internet of things-based agricultural enterprise group informatization management system of claim 3, wherein the fuzzy control algorithm is calculated as follows:
recording the actual information acquired by the information acquisition system as VMeasuringWhile marking the standard information as VStandard of meritThe deviation of the actual information from the standard information is e, e ═ VMeasuring-VStandard of meritCalculating the variation rate of the deviation from the deviation eWherein e iscIndicating the rate of change of deviation, subscript c being a distinguishing function only and not a variable, e1Representing the deviation of this sampling, e2Representing the error of the last sampling, T representing the sampling interval time, defining the output quantity of an information management system and an application layer as u, and defining the fuzzy subset of an offset value e as AiI is 1,2, … …, i, rate of change of deviation ecIs BjJ is 1,2, … …, j, the fuzzy subset of the output u is CijThe rules are established according to a fuzzy control algorithm as follows: IF e ═ aiAND ec＝Bj，THEN u＝CijEstablishing fuzzy relation R among all parameters according to the ruleh＝Ai×Bj×CijAnd overall fuzzy relationWherein h represents the number of fuzzy rules, h is 1,2, … …, h, and finally, the output control quantity V is calculated by using the fuzzy relation and the fuzzy rulesij＝(Ai×Bj) R, wherein AiFuzzy subset representing deviation value e, i ═ 1,2, … …, i, BjIndicates the rate of change e of deviationcJ-1, 2, … …, jAnd R represents the overall fuzzy relationship.
5. The Internet of things-based agricultural enterprise corporate group information management system of claim 3, wherein the two-dimensional vector space model is calculated by the following process:
mapping data acquired by an information acquisition system into a data set D { D }1，d2，……，di1,2, … …, i, wherein diRepresenting a single entry in a data set, decomposing the single entry into professional characteristic word vector components dipAnd a common feature word vector component digI.e. di＝{dip，digEach component is represented as quantizedWherein,represents the k-th feature word TkIn entry diWherein T iskRepresenting the key words in the entry of the word, wherein TF represents the word frequency, IDF represents the inverse word frequency, fkRepresentation feature word TkIn entry diC represents the total number of terms of the entry, N represents the total number of terms of the data set D, NkRepresenting the characteristic words T contained in the data set DkThe total number of entries of;
further adjusting the weight according to different professional dimensions to form a final word weight:
(α and β are constants, passing through the neural netDetermination of the results of the collateral model test
Finally, sorting the final word weights according to sizes and outputting a control quantity, namely Vij。
6. The internet-of-things-based agricultural enterprise group information management system of claim 3, wherein: said algorithm or model Mj(j ═ 1,2, … …, j) also represents an expert-experience-based intelligent control model, which is calculated as follows:
establishing a crop normal growth information base, a product processing key point information base and a storage and logistics key index information base in an expert experience model base according to data information of perennial crop growth, product processing, storage and logistics collected by an information collection system, and recording standard values of various parameters of crops as VStandard of merit，And recording the data acquired by the information acquisition system as VMeasuring，VMeasuring＝aMeasuring，bMeasuring，……，zMeasuringData V acquired by the information acquisition systemMeasuringAnd a standard value VStandard of meritBy comparison, if VMeasuringAt VStandard of meritAnd otherwise, the cloud platform sends an alarm instruction to trigger a control system on the cloud platform to act, wherein VStandard of meritDenotes one standard interval or a plurality of standard intervals, VMeasuringAt VStandard of meritThe outside indicates that the data acquired by the data acquisition system is smaller than the minimum value of the standard interval, or larger than the maximum value of the standard interval, or is in a plurality of standard intervals.
7. The Internet of things-based agricultural enterprise group information management system of claim 6, wherein: the cloud platform of the Internet of things comprises a main running machine and a standby running machine, wherein the main running machine is connected with the standby running machine through a communication system, when the main running machine is in a working state, the standby running machine is in a hot standby state, the main running system backs up communication data in work to the standby running machine in real time, and when the main running machine breaks down, the standby running machine in the hot standby state is immediately activated, replaces the main running machine to enter the working state, and sends back a starting signal.
8. The internet-of-things-based agricultural enterprise group information management system of claim 1, wherein: the information management platform comprises a production management platform, an office management platform, a financial management platform, a human resource management platform and a decision support management platform.
9. The internet-of-things-based agricultural enterprise group information management system of claim 1, wherein: the application layer includes production activities, business activities, financial control, investment and financing activities, human resource control, risk control, and decision support.
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