CN113283809B - Logistics monitoring system for rural industry - Google Patents
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention belongs to the technical field of logistics monitoring, and particularly relates to a logistics monitoring system for rural industry, which comprises a logistics individual monitoring module, an environment monitoring module and a server; the logistics individual monitoring module is used for collecting positioning and pollution emission data of logistics individuals; the environment monitoring module is used for collecting environment data of a road section where the environment monitoring module is located; the server stores general monitoring indexes and special monitoring indexes of each road section and also stores a plurality of environment assessment algorithms; the server is used for selecting a corresponding environment evaluation algorithm according to the general monitoring index and the special monitoring index of each road section, and carrying out parameter correction on the selected environment evaluation algorithm according to the general monitoring index and the special monitoring index of each road section to obtain the monitoring algorithm of each road section; the server is also used for carrying out environmental analysis according to the monitoring algorithm of each road section, the pollution emission data of the corresponding road section and the environmental data. The method and the device can ensure ecological balance of local rural industry when agricultural product marketing is stably lifted.
Description
Technical Field
The invention belongs to the technical field of logistics monitoring, and particularly relates to a logistics monitoring system for rural industries.
Background
In order to widen the sales of agricultural products, besides the traditional off-line sales channels, the on-line e-commerce platforms are actively trying to popularize agricultural products in various places. Through online and offline combined sales promotion, the ideal and stable sales volume of agricultural products in various places can be ensured, and the sales area range is wider.
However, while the sales volume is guaranteed, the problem is also accompanied by that in order to transport out the sold agricultural products, a large number of logistics vehicles and logistics personnel enter the loading point in the village, because the self-purification capability of the village on pollution is limited, a certain influence on the village environment is inevitably brought along with the increase of people and vehicles, and especially, partial irregular behaviors of the vehicles and personnel can damage the local environment, influence the local ecological environment and further influence the sustainable development of the local agriculture. In addition, since agricultural products generally have obvious local features, the topography and ecological environment features of each place are different, and it is difficult to find a unified and effective supervision manner to monitor whether foreign vehicles and personnel have influence on the environment.
Therefore, the ecological balance of local rural industries is ensured while the sales of agricultural products is stably improved, and the ecological balance is a problem to be solved urgently.
Disclosure of Invention
The invention aims to provide a logistics monitoring system for rural industries, which can ensure the ecological balance of local rural industries when agricultural product marketing is stably lifted.
The basic scheme provided by the invention is as follows:
the logistics monitoring system for rural industry comprises a logistics individual monitoring module, an environment monitoring module and a server; the logistics individual monitoring module is used for collecting positioning and pollution emission data of logistics individuals; the environment monitoring module is used for collecting environment data of a road section where the environment monitoring module is located;
the server stores general monitoring indexes and special monitoring indexes of each road section and also stores a plurality of environment assessment algorithms; the server is used for selecting a corresponding environment evaluation algorithm according to the general monitoring index and the special monitoring index of each road section, and carrying out parameter correction on the selected environment evaluation algorithm according to the general monitoring index and the special monitoring index of each road section to obtain the monitoring algorithm of each road section; the server is also used for carrying out environmental analysis according to the monitoring algorithm of each road section, the pollution emission data and the environmental data of the corresponding road section, and adjusting the logistics control strategy of each road section in real time.
Noun description: individual logistics, i.e. individual participation in the logistics process, such as logistics vehicles, logistics personnel.
Basic scheme theory of operation and beneficial effect:
on a round-trip transportation line of logistics, logistics vehicles can pass through a plurality of road sections, but the conditions of each road section are different (such as different quality of road surfaces, different kinds of plants beside the road, different soil properties beside the road), and the bearing capacity of logistics and pollution is different.
In the application, the logistics individual monitoring module can acquire positioning and pollution emission data of logistics individuals, and stated another way, can acquire pollution emission data of the logistics individuals, such as pollutant emission and the like; the environmental monitoring module collects environmental data of the road section, such as current environmental data. Stated another way, the comprehensive pollution condition of each road section can be effectively monitored and predicted through the logistics individual monitoring module and the environment monitoring module.
On the other hand, the server selects a corresponding environment evaluation algorithm according to the general monitoring index and the special monitoring index of each road section, and performs parameter correction on the selected environment evaluation algorithm according to the general monitoring index and the special monitoring index of each road section to obtain the monitoring algorithm of each road section. The monitoring algorithm covers conventional monitoring items and special monitoring items of the corresponding road sections, and the corresponding road sections can be monitored comprehensively and adaptively through the monitoring algorithm. Specifically, after receiving the pollutant emission data and the environmental data, the server performs environmental analysis according to a monitoring algorithm of the road section, the pollutant emission data and the environmental data of the corresponding road section, and can know the anti-pollution capacity and the pollutant emission degree of each road section through the environmental analysis, so that the server can reasonably predict the subsequent pollution condition of each road section. And then, the server can go upward on the basis of reasonable prediction, and adjust the logistics control strategy (such as limiting vehicles, loads, passing time and the like) of the corresponding road sections in real time so as to ensure the good state of each road section, thereby ensuring the ecological balance of villages to which the road sections belong and ensuring the suitability of rural industry under ecological safety constraint. The rural economy is developed, and meanwhile, the rural environment is protected, so that ecological balance is achieved.
In conclusion, the ecological balance of local rural industries can be ensured when agricultural product marketing is stably improved.
Further, the special monitoring index includes a special road surface monitoring index, a special land monitoring index, and a special plant monitoring index.
Special pavements, i.e. pavements with special materials, require special attention; special lands, i.e. lands with special land properties, particularly good plant growth or lands suitable for growing rare plants; special plants, i.e. plants which are difficult to plant in a large scale and have strong regional dependence. Compared with the conventional monitoring objects, the monitoring objects have the self specificity, the special monitoring pavement is easy to damage, reasonable planning and use are needed, the scarcity of special plants and special lands is very strong, and the monitoring objects are needed to be specially monitored so as to ensure the balanced development of rural industries.
Further, the server is also used for updating the special monitoring index according to the current time and combining the season habits of the special lands and the special plants; the server is also used for updating the monitoring algorithm of the road section according to the updated special monitoring index and the updated general monitoring index after updating the special monitoring index of the road section.
The soil and plants are greatly affected by seasons, and the pollution resistance is different in different seasons, for example, certain vegetable plants only grow in two seasons, and have strong purification capability to the environment, so that the pollution resistance of the area is naturally reduced in the seasons in which the vegetable plants do not grow. Also for example, certain rare plants are susceptible to certain types of contamination and are susceptible to damage upon encountering the season in which the rare plants grow, requiring strict monitoring of the type of contamination. By adopting the mode, a corresponding monitoring scheme can be adopted according to the current specific situation, so that the rationality and the effectiveness of monitoring are ensured.
Further, the server is further used for updating the special road surface indexes of each road section according to the weather habits of each special road surface index in combination with the weather habits of each special road surface index in a preset period according to the preset frequency.
The damage degree of special road surfaces (such as sand road surfaces) is different in normal weather, insolated weather, heavy rain weather or continuous overcast and rainy weather, and in order to protect the stability of the road surfaces, the allowable frequency, load and other attributes of the vehicles need to be adjusted in different weather. By such arrangement, the special road surfaces can be prevented from being greatly influenced as much as possible.
Further, the environment monitoring module comprises a conventional environment monitoring unit and a special environment monitoring unit; the general environment monitoring unit is used for collecting general monitoring index data and special pavement index data of the road section where the general environment monitoring unit is located and sending the general monitoring index data and the special pavement index data to the server; the special environment monitoring unit is used for collecting special land monitoring index data and/or special plant monitoring index data of the road section where the special environment monitoring unit is located and sending the special land monitoring index data and/or the special plant monitoring index data to the server;
the special environment monitoring unit consists of a plurality of minimum monitoring units, and the minimum monitoring units are used for monitoring special index data of a minimum monitoring area; the server also stores the monitoring grade of each minimum monitoring area; the server is also used for generating alarm information of corresponding grade according to the monitoring grade of a certain minimum monitoring area when the abnormality exists in the minimum monitoring area.
The conventional environment monitoring unit does not involve rare resources (namely special land and special plants) which need special attention, and a general existing environment monitoring mode is adopted. However, the special environment monitoring unit is involved in monitoring rare resources, and once a problem occurs, the loss caused by the special environment monitoring unit is serious in agricultural resource loss. In the application, the special environment monitoring unit consists of a plurality of minimum monitoring units, and each minimum monitoring unit monitors the minimum monitoring area where the special environment monitoring unit is located, so that comprehensive and reliable monitoring of rare resources can be ensured.
In addition, the importance of the minimum monitoring area, namely the influence degree of the minimum monitoring area on rare resources, is graded in the application. And generating alarm information of corresponding grade when abnormality exists in a certain minimum monitoring area, so that a manager can know the current emergency degree and take corresponding measures.
Further, the minimum monitoring area is set according to a monitoring strategy; the monitoring strategy is that after the minimum area of the actual topography is divided according to the preset unit area, the monitoring elements are ranked according to the priority of the actual environment, weight values are added to the monitoring elements according to the ranking according to the preset adding mode, after the monitoring weight values of the minimum areas are calculated, the minimum areas with the monitoring weight values higher than the preset special value are screened out, and the minimum monitoring areas are marked.
To monitor rare resources, not only various monitoring elements are considered, but also the actual influence degree of the various monitoring elements on the real resources is considered to meet the actual monitoring requirements. In the application, the actual influence degree of various monitoring elements on rare resources is judged through the priority ranking of the monitoring elements in the actual environment; then, adding weight values to each monitoring element according to the ranking according to a preset adding mode, namely quantifying the actual image degree by using specific numerical values; and then, calculating a monitoring weight value of the minimum area, and marking the minimum area screen with the monitoring weight value higher than a preset special value as a minimum monitoring area. The minimum monitoring area obtained in this way can reasonably reduce monitoring equipment while guaranteeing to meet the monitoring demand of rare resources, and the effective utilization rate and the installation efficiency of the monitoring equipment are improved.
Further, the prioritizing the monitoring elements according to the actual environment is specifically that the greater the influence capability of the monitoring elements on the actual environment in a unit volume is, the higher the prioritizing is; the monitoring elements include distance from the route edge line of the passing path, distance from the area where the special plants or the special lands are located, the level of the upper and lower areas of the wind flow and the level of the upper and lower areas of the water flow.
The distance from the route edge of the passing route, i.e. the distance from the edge of the logistic passing road. The monitoring elements are combined with the actual terrain, so that the minimum monitoring area can be completely and accurately found out.
Further, the monitoring level of the minimum monitoring area is divided according to a level policy; the level strategy is that a minimum monitoring unit corresponding to a minimum monitoring area with a monitoring weight value not smaller than X is used as a first-level special area, a minimum monitoring unit corresponding to a minimum monitoring area with a monitoring weight value not smaller than X and not smaller than Y is used as a second-level special area, and a minimum monitoring unit corresponding to a minimum monitoring area with a monitoring weight value smaller than Y is used as a third-level special area.
Compared with excessive grading modes, such as four stages and more, the grading mode of the three-stage special area is enough to enable a manager to clearly know the emergency degree of the situation, and the excessive grading is easy to enable the manager to record and mix. Compared with a division mode with only one stage or two stages, the three-stage special area can enable a manager to more clearly know the specific emergency degree, so that an emergency treatment scheme is planned more reasonably.
Further, logistics control strategies include vehicle type, vehicle load, transportation period, transportation frequency, and vehicle speed limit; the server is also used for receiving logistics application information, wherein the logistics application information comprises vehicle information and transportation information; the server is also used for generating path planning information according to the logistics application information and the logistics control strategy of each road section; the server is also used for judging whether the running path of the logistics vehicle is the same as the corresponding path planning information according to the positioning of the logistics individual monitoring module, and if the running path of the logistics vehicle is different from the corresponding path planning information, the server generates supervision information.
Noun description: and logistics application information, namely logistics list information sent by a logistics transportation company.
The logistics control strategy comprises limiting requirements of each road section, the logistics application information comprises vehicle information (such as load and the like) and transportation information (such as departure place, destination and the like), and the travel path of the logistics vehicle can be matched with the logistics control strategy of each road section from the source through the path planning information generated after the analysis of the information, so that the follow-up allocation links are reduced, and the overall efficiency of the whole logistics system is ensured. Thereby ensuring the ecological balance of villages and ensuring the efficient operation of logistics systems.
After generating the path planning information, the server can receive the positioning of the individual monitoring module on the corresponding vehicle to analyze the path, and if the path planning information is different from the corresponding path planning information, the server indicates that the vehicle does not travel as required, and the ecological (pavement, land, plant and the like) of a certain section on the actual traveling route can be damaged. The server needs to know and follow up why it is not traveling according to the planned route, and therefore generates supervision information, which is convenient for the administrator to perform centralized processing on such drivers.
Further, the logistics individual monitoring module comprises a positioning unit, an emission monitoring unit and a behavior monitoring unit; the positioning unit is used for acquiring the positioning of the logistics individuals, and the emission monitoring unit is used for acquiring pollution emission data of the logistics individuals in the road section where the emission monitoring unit is positioned; the behavior monitoring unit is stored with an offence demonstration library for storing preset offence; the behavior monitoring unit is used for collecting the image data of the road section where the behavior monitoring unit is located and analyzing whether the behavior of the violation in the behavior demonstration library exists or not, and if the behavior exists, the behavior monitoring unit intercepts the related image data and sends the related image data to the server.
Through the pollution emission data and the environmental data, the index data required to be monitored on each road section can be comprehensively monitored. However, some behaviors (such as dumping garbage, especially non-degradable garbage) have a very large impact on agriculture, but the damage to such behaviors is difficult to timely and effectively monitor through pollution emission data and environmental data due to hysteresis. In the scheme, the real-time image analysis is carried out through the behavior monitoring unit, and relevant influence data are sent to the server after the illegal behaviors are found, so that the illegal behaviors can be stored in a centralized manner, and subsequent responsibility following is facilitated.
Drawings
FIG. 1 is a logic block diagram of a first embodiment of the present invention;
fig. 2 is a logic block diagram of a second embodiment of the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
example 1
As shown in fig. 1, the logistics monitoring system for rural industries comprises a logistics individual monitoring module, an environment monitoring module and a server.
The server stores general monitoring indexes and special monitoring indexes of each road section and also stores a plurality of environment assessment algorithms; the special monitoring indexes comprise special pavement monitoring indexes, special land monitoring indexes and special plant monitoring indexes.
The logistics individual monitoring module comprises a positioning unit and an emission monitoring unit; the positioning unit is used for acquiring the positioning of the logistics individuals, and the emission monitoring unit is used for acquiring the pollution emission data of the logistics individuals in the road section where the emission monitoring unit is located. The individual monitoring unit of commodity circulation comprises microprocessor, sensor, locater and camera, and wherein, microprocessor can directly use commodity circulation vehicle's on-vehicle MCU, also can set up solitary microprocessor, and these all belong to prior art, and this is not repeated here. In this embodiment, the pollution emission number of the logistics individual includes exhaust emission data, oil/water leakage data, noise data, and electromagnetic wave data of the logistics vehicle. With the development of the logistics industry, the logistics vehicles in the future may not only include logistics vehicles, but also transportation devices such as unmanned aerial vehicles and unmanned ships. For the transportation equipment, the logistics individual monitoring module is applicable to the transportation equipment, and only the type and the installation position of part of sensors are required to be modified.
The environment monitoring module is used for collecting environment data of the road section where the environment monitoring module is located. Specifically, the environment monitoring module includes a conventional environment monitoring unit and a special environment monitoring unit. The conventional environment monitoring unit is used for collecting general monitoring index data and special road surface index data of the road section and sending the general monitoring index data and the special road surface index data to the server. In this embodiment, the conventional environmental monitoring unit includes sensors for monitoring the quality of air, soil and water flow, a pressure sensor provided on a special road surface, and a vehicle speed monitor provided beside the special road surface. In other embodiments, the speed monitor may not be provided, and the speed and positioning of the logistics vehicle may be collected by the logistics individual monitoring module to achieve the function of the speed monitor, that is, to monitor the speed of the logistics vehicle when the logistics vehicle passes through a special road surface.
The special environment monitoring unit is used for collecting special land monitoring index data and/or special plant monitoring index data of the road section where the special environment monitoring unit is located and sending the special land monitoring index data and/or the special plant monitoring index data to the server. Specifically, the special environment monitoring unit is composed of a plurality of minimum monitoring units, and the minimum monitoring units are used for monitoring special index data of a minimum monitoring area. The minimum monitoring area is set according to a monitoring strategy; the monitoring strategy is that after the minimum area division is carried out on the actual topography according to the preset unit area, the priority ranking is carried out on the monitoring elements according to the actual environment; and adding a weight value to each monitoring element according to the sequencing ranking in a preset adding mode, calculating the monitoring weight value of each minimum area, and screening out the minimum area with the monitoring weight value higher than a preset special value, and marking the minimum area as the minimum monitoring area.
In this embodiment, the monitoring elements include a distance from a curb line of the traffic path (i.e., a distance from an edge of the traffic road), a distance from an area where a special plant or a special land is located, an upstream and downstream level of the wind flow, and an upstream and downstream level of the water flow. The monitoring elements are combined with the actual terrain (such as the terrain of a part of areas belonging to bridges, canyons or waterways and the like), so that the minimum monitoring area can be completely and accurately found. The priority ranking of the monitoring elements according to the actual environment is specifically that the higher the influence capability of the monitoring elements on the actual environment in unit volume is, the higher the priority ranking is.
When a weight value is added to a monitoring element in a certain area, a person skilled in the art can add a specific value according to the type, area/number and rarity degree of rare resources (i.e., special land and special plant) related to the area, and then combine with local topography and appearance, so long as the scale is kept uniform. Of course, in order to ensure the uniformity of the scale, a uniform weight reference table may be first manufactured and stored in the server, so that the staff added with the weight can be used as a reference. The particular sensor type involved in the minimal monitoring unit may be specifically selected by those skilled in the art based on the particular attributes of the scarce resources in its vicinity.
The monitoring level of each minimum monitoring area is also stored in the server. The monitoring grades of the minimum monitoring areas are divided according to a grade strategy; the level strategy is that a minimum monitoring unit corresponding to a minimum monitoring area with a monitoring weight value not smaller than X is used as a first-level special area, a minimum monitoring unit corresponding to a minimum monitoring area with a monitoring weight value not smaller than X and not smaller than Y is used as a second-level special area, and a minimum monitoring unit corresponding to a minimum monitoring area with a monitoring weight value smaller than Y is used as a third-level special area. The specific values of X and Y can be specifically set by those skilled in the art according to specific reference tables or numerical selection ranges when weight values are added, and will not be described herein.
The server is used for selecting a corresponding environment evaluation algorithm according to the general monitoring index and the special monitoring index of each road section, and carrying out parameter correction on the selected environment evaluation algorithm according to the general monitoring index and the special monitoring index of each road section to obtain the monitoring algorithm of each road section; the server is also used for carrying out environmental analysis according to the monitoring algorithm of each road section, the pollution emission data and the environmental data of the corresponding road section, and adjusting the logistics control strategy of each road section in real time. The environment evaluation algorithm is only required to use the existing intelligent analysis algorithm (such as the environment quality evaluation algorithm based on the GA-BP neural network, the environment quality evaluation algorithm based on the LM neural network, etc.), which belongs to the prior art, and is not an innovation point of the application, and only the algorithm with the matched characteristics is required to be selected and the parameters in the algorithm are changed during use, so that the description is omitted. In this embodiment, the logistics control strategy includes vehicle type, vehicle load, transportation period, transportation frequency, and vehicle speed limit.
The server is also used for generating alarm information of corresponding grade according to the monitoring grade of a certain minimum monitoring area when the abnormality exists in the minimum monitoring area.
The specific implementation process is as follows:
on a round-trip transportation line of logistics, logistics vehicles can pass through a plurality of road sections, but the conditions of each road section are different (such as different road quality, different road-side planting plants, different road-side land attributes), and the bearing capacity of logistics and pollution is different, if the whole judgment of simple and rough storm is only carried out, the ecological balance of certain road sections on the line can be damaged (such as damaged road surface, damaged road-side land attributes, affected road-side planting plants and the like) when the judgment standard is loose, and the transportation efficiency of logistics can be greatly affected when the judgment standard is too strict.
In the application, the logistics individual monitoring module can acquire positioning and pollution emission data of logistics individuals, and stated another way, can acquire pollution emission data of the logistics individuals, such as pollutant emission and the like; the environmental monitoring module collects environmental data of the road section, such as current environmental data. Stated another way, the comprehensive pollution condition of each road section can be effectively monitored and predicted through the logistics individual monitoring module and the environment monitoring module.
The conventional environment monitoring unit does not involve rare resources (namely special land and special plants) which need special attention, and a general existing environment monitoring mode is adopted. However, the special environment monitoring unit is involved in monitoring rare resources, and once a problem occurs, the loss caused by the special environment monitoring unit is serious in agricultural resource loss.
Therefore, to monitor the rare resources, not only various monitoring elements but also the actual influence degree of the various monitoring elements on the real resources needs to be considered to meet the actual monitoring requirements. In the application, the actual influence degree of various monitoring elements on rare resources is judged through the priority ranking of the monitoring elements in the actual environment; then, adding weight values to each monitoring element according to the ranking according to a preset adding mode, namely quantifying the actual image degree by using specific numerical values; and then, calculating a monitoring weight value of the minimum area, and marking the minimum area screen with the monitoring weight value higher than a preset special value as a minimum monitoring area. The minimum monitoring area obtained in this way can reasonably reduce monitoring equipment while guaranteeing to meet the monitoring demand of rare resources, and the effective utilization rate and the installation efficiency of the monitoring equipment are improved. The special environment monitoring unit in the application is composed of a plurality of minimum monitoring units, and each minimum monitoring unit monitors the minimum monitoring area where the minimum monitoring unit is located, so that comprehensive and reliable monitoring of rare resources can be guaranteed.
On the other hand, the server selects a corresponding environment evaluation algorithm according to the general monitoring index and the special monitoring index of each road section, and performs parameter correction on the selected environment evaluation algorithm according to the general monitoring index and the special monitoring index of each road section to obtain the monitoring algorithm of each road section. The monitoring algorithm covers conventional monitoring items and special monitoring items of the corresponding road sections, and the corresponding road sections can be monitored comprehensively and adaptively through the monitoring algorithm. Specifically, after receiving the pollutant emission data and the environmental data, the server performs environmental analysis according to a monitoring algorithm of the road section, the pollutant emission data and the environmental data of the corresponding road section, and can know the anti-pollution capacity and the pollutant emission degree of each road section through the environmental analysis, so that the server can reasonably predict the subsequent pollution condition of each road section. And then, the server can go upward on the basis of reasonable prediction, and adjust the logistics control strategy (such as limiting vehicles, loads, passing time and the like) of the corresponding road sections in real time so as to ensure the good state of each road section, thereby ensuring the ecological balance of villages to which the road sections belong and ensuring the suitability of rural industry under ecological safety constraint. The rural economy is developed, and meanwhile, the rural environment is protected, so that ecological balance is achieved.
In addition, in the method, the importance degree of the minimum monitoring area, namely the influence degree of the minimum monitoring area on the rare resources is classified, and alarm information of a corresponding grade is generated when an abnormality exists in a certain minimum monitoring area, so that a manager can know the current emergency degree and take corresponding measures. Even though the potential damage phenomenon of rare resources happens carelessly, the potential damage can be cleared up in a targeted way as soon as possible.
In conclusion, the ecological balance of local rural industries can be ensured when agricultural product marketing is stably improved.
Example two
As shown in fig. 2, unlike the embodiment, in this embodiment, the individual logistics monitoring unit further includes a behavior monitoring unit. The behavior monitoring unit is stored with an offence demonstration library for storing preset offence; the behavior monitoring unit is used for collecting the image data of the road section and analyzing whether the behavior of the violation in the violation demonstration library exists, if so, the behavior monitoring unit intercepts the related image data and sends the related image data to the server, and the related image data is the image data comprising the complete behavior of the violation. The specific content of the exemplary library for monitoring the illegal behaviors can be specifically set by a person skilled in the art according to the degree of strictness of individual monitoring of the logistics, and will not be described herein.
Some behaviors (such as dumping garbage, especially non-degradable garbage) have great influence on agriculture, but the damages of the behaviors are delayed, so that the behaviors are difficult to timely and effectively monitor through pollution emission data and environmental data. In the scheme, the real-time image analysis is carried out through the behavior monitoring unit, and relevant influence data are sent to the server after the illegal behaviors are found, so that the illegal behaviors can be stored in a centralized manner, and subsequent responsibility following is facilitated.
Example III
Compared with the first embodiment, in this embodiment, the server further stores the season habits of each special land and each special plant, and the server is further configured to update the special monitoring index according to the current time by combining the season habits of each special land and each special plant; the server is also used for updating the monitoring algorithm of the road section according to the updated special monitoring index and the updated general monitoring index after updating the special monitoring index of the road section.
The soil and plants are greatly affected by seasons, and the pollution resistance is different in different seasons, for example, certain vegetable plants only grow in two seasons, and have strong purification capability to the environment, so that the pollution resistance of the area is naturally reduced in the seasons in which the vegetable plants do not grow. Also for example, certain rare plants are susceptible to certain types of contamination and are susceptible to damage upon encountering the season in which the rare plants grow, requiring strict monitoring of the type of contamination. In this embodiment, the special monitoring index is updated by combining the season habits of each special land and special plant, and then the corresponding monitoring algorithm is updated. Therefore, a corresponding monitoring scheme can be adopted according to the current specific situation, and the rationality and the effectiveness of monitoring are ensured.
In addition, in this embodiment, the weather habits of the special road surfaces are stored in the server, and the server is further configured to update the special road surface indexes of the road sections according to the weather conditions in the preset period and the weather habits of the special road surface indexes according to the preset frequency. The weather data can be obtained from a weather website, or can be collected and analyzed by a sensor, and in this embodiment, the weather data is obtained from the weather website.
The damage degree of special road surfaces (such as sand road surfaces) is different in normal weather, insolated weather, heavy rain weather or continuous overcast and rainy weather, and in order to protect the stability of the road surfaces, the allowable frequency, load and other attributes of the vehicles need to be adjusted in different weather. By such arrangement, the special road surfaces can be prevented from being greatly influenced as much as possible.
Example IV
Unlike the first embodiment, in this embodiment, the server is further configured to receive logistics application information, where the logistics application information includes vehicle information and transportation information; the server is also used for generating path planning information according to the logistics application information and the logistics control strategy of each road section; the server is also used for judging whether the running path of the logistics vehicle is the same as the corresponding path planning information according to the positioning of the logistics individual monitoring module, and if the running path of the logistics vehicle is different from the corresponding path planning information, the server generates supervision information.
And logistics application information, namely logistics list information sent by a logistics transportation company. The logistics control strategy comprises limiting requirements of each road section, the logistics application information comprises vehicle information (such as load and the like) and transportation information (such as departure place, destination and the like), and the travel path of the logistics vehicle can be matched with the logistics control strategy of each road section from the source through the path planning information generated after the analysis of the information, so that the follow-up allocation links are reduced, and the overall efficiency of the whole logistics system is ensured. Thereby ensuring the ecological balance of villages and ensuring the efficient operation of logistics systems. After generating the path planning information, the server can receive the positioning of the individual monitoring module on the corresponding vehicle to analyze the path, and if the path planning information is different from the corresponding path planning information, the server indicates that the vehicle does not travel as required, and the ecological (pavement, land, plant and the like) of a certain section on the actual traveling route can be damaged. The server needs to know and follow up why it is not traveling according to the planned route, and therefore generates supervision information, which is convenient for the administrator to perform centralized processing on such drivers.
The foregoing is merely an embodiment of the present invention, and a specific structure and characteristics of common knowledge in the art, which are well known in the scheme, are not described herein, so that a person of ordinary skill in the art knows all the prior art in the application day or before the priority date of the present invention, and can know all the prior art in the field, and have the capability of applying the conventional experimental means before the date, so that a person of ordinary skill in the art can complete and implement the present embodiment in combination with his own capability in the light of the present application, and some typical known structures or known methods should not be an obstacle for a person of ordinary skill in the art to implement the present application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (9)
1. A commodity circulation monitoring system for rural industry, its characterized in that: the system comprises a logistics individual monitoring module, an environment monitoring module and a server; the logistics individual monitoring module is used for collecting positioning and pollution emission data of logistics individuals; the environment monitoring module is used for collecting environment data of a road section where the environment monitoring module is located;
the server stores general monitoring indexes and special monitoring indexes of each road section and also stores a plurality of environment assessment algorithms; the general monitoring index comprises air, soil and water flow quality; the special monitoring indexes comprise special pavement monitoring indexes, special land monitoring indexes and special plant monitoring indexes;
the server is used for selecting a corresponding environment evaluation algorithm according to the general monitoring index and the special monitoring index of each road section, and carrying out parameter correction on the selected environment evaluation algorithm according to the general monitoring index and the special monitoring index of each road section to obtain the monitoring algorithm of each road section; the server is also used for carrying out environmental analysis according to the monitoring algorithm of each road section, the pollution emission data and the environmental data of the corresponding road section, and adjusting the logistics control strategy of each road section in real time.
2. The logistics monitoring system of claim 1, wherein: the server is also used for updating the special monitoring index according to the current time and combining the season habits of the special lands and the special plants; the server is also used for updating the monitoring algorithm of the road section according to the updated special monitoring index and the updated general monitoring index after updating the special monitoring index of the road section.
3. The logistics monitoring system of claim 2, wherein: the server is also used for updating the special road surface indexes of each road section according to the weather conditions in the preset time period and the weather habits of the special road surface indexes according to the preset frequency.
4. The logistics monitoring system of claim 1, wherein: the environment monitoring module comprises a conventional environment monitoring unit and a special environment monitoring unit; the general environment monitoring unit is used for collecting general monitoring index data and special pavement index data of the road section where the general environment monitoring unit is located and sending the general monitoring index data and the special pavement index data to the server; the special environment monitoring unit is used for collecting special land monitoring index data and/or special plant monitoring index data of the road section where the special environment monitoring unit is located and sending the special land monitoring index data and/or the special plant monitoring index data to the server;
the special environment monitoring unit consists of a plurality of minimum monitoring units, and the minimum monitoring units are used for monitoring special index data of a minimum monitoring area; the server also stores the monitoring grade of each minimum monitoring area; the server is also used for generating alarm information of corresponding grade according to the monitoring grade of a certain minimum monitoring area when the abnormality exists in the minimum monitoring area.
5. The logistics monitoring system of claim 4, wherein: the minimum monitoring area is set according to a monitoring strategy; the monitoring strategy is that after the minimum area of the actual topography is divided according to the preset unit area, the monitoring elements are ranked according to the priority of the actual environment, weight values are added to the monitoring elements according to the ranking according to the preset adding mode, after the monitoring weight values of the minimum areas are calculated, the minimum areas with the monitoring weight values higher than the preset special value are screened out, and the minimum monitoring areas are marked.
6. The logistics monitoring system of claim 5, wherein: the priority ranking of the monitoring elements according to the actual environment is specifically that the higher the influence capability of the monitoring elements on the actual environment in unit volume is, the higher the priority ranking is; the monitoring elements include distance from the route edge line of the passing path, distance from the area where the special plants or the special lands are located, the level of the upper and lower areas of the wind flow and the level of the upper and lower areas of the water flow.
7. The logistics monitoring system of claim 5, wherein: dividing the monitoring level of the minimum monitoring area according to a level strategy; the level strategy is that a minimum monitoring unit corresponding to a minimum monitoring area with a monitoring weight value not smaller than X is used as a first-level special area, a minimum monitoring unit corresponding to a minimum monitoring area with a monitoring weight value not smaller than X and not smaller than Y is used as a second-level special area, and a minimum monitoring unit corresponding to a minimum monitoring area with a monitoring weight value smaller than Y is used as a third-level special area.
8. The logistics monitoring system of claim 1, wherein: the logistics control strategy comprises vehicle type, vehicle load, transportation period, transportation frequency and vehicle speed limit; the server is also used for receiving logistics application information, wherein the logistics application information comprises vehicle information and transportation information; the server is also used for generating path planning information according to the logistics application information and the logistics control strategy of each road section; the server is also used for judging whether the running path of the logistics vehicle is the same as the corresponding path planning information according to the positioning of the logistics individual monitoring module, and if the running path of the logistics vehicle is different from the corresponding path planning information, the server generates supervision information.
9. The logistics monitoring system of claim 8, wherein: the logistics individual monitoring module comprises a positioning unit, an emission monitoring unit and a behavior monitoring unit; the positioning unit is used for acquiring the positioning of the logistics individuals, and the emission monitoring unit is used for acquiring pollution emission data of the logistics individuals in the road section where the emission monitoring unit is positioned; the behavior monitoring unit is stored with an offence demonstration library for storing preset offence; the behavior monitoring unit is used for collecting the image data of the road section where the behavior monitoring unit is located and analyzing whether the behavior of the violation in the behavior demonstration library exists or not, and if the behavior exists, the behavior monitoring unit intercepts the related image data and sends the related image data to the server.
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